Chen Pan | fruit quality | Best Researcher Award

Mrs. Chen Pan | fruit quality | Best Researcher Award

Student, student College of Agriculture and Biotechnology, Zhejiang University,China

Chen Pan is a dedicated and innovative researcher specializing in plant biotechnology, cryopreservation, and virology. Born in Shanxi, China, in 1992, she has developed expertise in preserving and studying plant genetic resources. Chen earned her B.S. and M.S. in Horticulture and Olericulture from Northwest A&F University, and she is currently pursuing a Ph.D. in Pomology at Zhejiang University. Her research aims to improve agricultural practices, enhance crop preservation, and tackle virus-related challenges in horticulture. Chen has contributed significantly to plant cryopreservation and biochemical biosynthesis studies, impacting both academic research and practical applications in agriculture.

Profile

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Strengths for the Award

  1. Academic Excellence and Research Focus: Chen Pan has demonstrated a strong academic background with a solid progression in horticultural and olericultural sciences. She completed her Bachelor’s, Master’s, and is currently pursuing her Ph.D. at prestigious institutions in China, under the mentorship of recognized advisors. This highlights her ability to work in diverse and interdisciplinary fields, as seen in her contributions to plant biotechnology, cryopreservation techniques, and virus detection in horticultural crops like Lilium, grapevines, and pear.
  2. Innovative Contributions in Cryopreservation: Chen’s work on the cryopreservation of plant tissues, including her studies on the preservation of Lilium and grapevine species, contributes significantly to advancing plant biotechnology, specifically in genetic resource conservation. Her research on the cryopreservation of small leaf squares-bearing adventitious buds of Lilium and the exploration of vitrification techniques for grapevine preservation demonstrate her technical expertise and innovation in a critical area of plant biotechnology.
  3. Multidisciplinary Research Interests: Her research spans multiple important areas including virus eradication and detection, biochemical biosynthesis in fruit, and the genetic and environmental factors that affect plant growth. For instance, her Ph.D. work on the ethylene-responsive transcription factor PpERF9 and its role in anthocyanin biosynthesis in pears, as well as her studies on blue light’s effect on mango fruit, reveal a sophisticated understanding of molecular biology and plant physiology. These studies have potential applications in improving fruit quality and stress tolerance in horticultural crops.
  4. Scientific Publications and Contributions to the Field: Chen has contributed significantly to plant virology and cryobiology, as evidenced by her publications, including her work on the biological indexing of Grapevine leafroll-associated virus-3 and biochemical assessments of Chrysanthemum morifolium. Her interdisciplinary approach to plant virology, cryopreservation, and metabolic biosynthesis in crops positions her as an emerging expert in these areas.
  5. Diverse Research Experience: Chen has worked with a wide range of crops, from ornamental species like Lilium to fruit crops like grapes and mangoes, highlighting her adaptability and broad knowledge base. Her understanding of both the basic and applied aspects of plant science makes her an invaluable asset to research teams tackling challenges like crop preservation and viral infections.

Areas for Improvement

  1. Broader Research Dissemination: While Chen has made significant contributions to the field, her visibility in international conferences and collaborations could be expanded. Engaging more actively in global research forums and publishing in high-impact journals would help her work gain more exposure within the international scientific community. It is important for emerging researchers to establish networks that bridge their research with global issues and broader scientific debates.
  2. Integration of Advanced Technologies: Although her work is highly commendable, there may be opportunities to integrate more cutting-edge technologies such as CRISPR gene editing, high-throughput sequencing, and advanced bioinformatics tools into her research. These techniques could potentially enhance her cryopreservation methods and enable deeper insights into plant molecular responses to biotic and abiotic stressors.
  3. Interdisciplinary Collaborations: As her research spans multiple areas, Chen could further benefit from fostering more interdisciplinary collaborations, particularly with groups focused on agricultural engineering, biotechnology, and molecular genetics. This could open up new pathways for her to explore the genetic underpinnings of plant stress resistance, virus eradication, and yield improvement.
  4. Public and Commercial Impact: While her research is of high academic value, exploring the translational aspect of her work could further enhance its impact. Partnerships with agricultural industries or public policy-making bodies could help bridge the gap between laboratory discoveries and practical applications, such as the development of more robust agricultural practices or sustainable farming solutions.

Education

Chen Pan completed her B.S. in Horticulture at Northwest A&F University (2011–2015), where she focused on plant science. She pursued her M.S. in Olericulture at the same institution (2015–2018), under the guidance of Prof. Qiaochun Wang. Her Master’s thesis explored novel cryopreservation methods and virus eradication in Lilium. In 2021, Chen entered the Ph.D. program in Pomology at Zhejiang University, mentored by Prof. Yuanwen Teng. Her doctoral research focuses on the regulation of anthocyanin biosynthesis in pears and mangoes, along with the application of cryopreservation techniques for fruit crops and virus control.

Research Focus

Chen Pan’s research focuses on plant biotechnology, with an emphasis on cryopreservation, virus eradication, and biosynthesis regulation in horticultural crops. Her studies on ethylene-responsive transcription factors in pears aim to unlock the genetic mechanisms of anthocyanin biosynthesis. She also investigates the effects of environmental factors such as blue light on fruit metabolism, including carotenoid and sucrose biosynthesis in mangoes. Another key aspect of her research involves the application of advanced cryopreservation techniques to improve the genetic preservation and regeneration of plant species, such as Lilium and grapevine, thereby supporting sustainable agricultural practices.

Publications

  • “The ethylene-responsive transcription factor PpERF9 represses PpRAP2.4 and PpMYB114 via histone deacetylation to inhibit anthocyanin biosynthesis in pear”
  • “Blue Light Simultaneously Induces Peel Anthocyanin Biosynthesis and Flesh Carotenoid/Sucrose Biosynthesis in Mango Fruit”
  • “Cryopreservation of Small Leaf Squares-bearing Adventitious Buds of Lilium Oriental Hybrid ‘Siberia’ by Vitrification”
  • “Cryopreservation of Grapevine (Vitis spp.)—A Review”
  • “Greenhouse Performance, Genetic Stability, and Biochemical Compounds in Chrysanthemum morifolium ‘Hangju’ Plants Regenerated from Cryopreserved Shoot Tips”
  • “Abiotic Stress Improves In Vitro Biological Indexing of Grapevine Leafroll-associated Virus-3 in Red Grapevine Cultivars”

Conclusion

Chen Pan has proven herself to be a promising researcher with deep expertise in plant biotechnology, cryopreservation, and virology. Her innovative work in tissue preservation and molecular understanding of plant biochemistry is highly commendable, and her interdisciplinary research approach has great potential for addressing both fundamental and applied challenges in agriculture.Despite some areas for growth, particularly in terms of broadening the scope of her research dissemination and exploring new technologies, her research is already making significant contributions to her field. Her dedication, research outcomes, and potential for future advancements make her a deserving candidate for the Best Researcher Award. With further professional development and greater integration of interdisciplinary tools and global collaborations, she has the potential to emerge as a leading researcher in horticultural sciences.

 

 

Mathew Awine Ayamdoo | Legal History | Best Review Article Award

Mr. Mathew Awine Ayamdoo | Legal History | Best Review Article Award

Lecturer, Accra College of Education, Ghana

Mathew Ayamdoo Awine is an academic, researcher, and educator with a passion for exploring African history and law. Born on November 25, 1989, in Ghana, Mathew is committed to impacting society through research, teaching, and administration. He currently serves as a History Tutor at Accra College of Education and as the Head of the History Unit. Mathew aims to bridge the gap between academia and policy, with a focus on improving cultural, religious, political, and socio-economic conditions across the globe. His work and leadership roles highlight his dedication to enhancing educational quality and advancing research in historical and legal studies. Mathew’s expertise spans African history, legal history, and the history of criminal legislations. Through his research and teaching, he seeks to foster understanding and change within the African continent and beyond. 🌍📚

Profile

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Strengths for the Award

  1. Academic and Professional Expertise: Mathew’s extensive academic journey — from a BA and MPhil in Historical Studies to a PhD in History — clearly positions him as an expert in the field of history, particularly African history. His specialization in the History of African Indigenous Legal Systems and the History of Criminal Legislations aligns well with his ability to produce in-depth and insightful reviews on complex topics, like the role of Africa in the Transatlantic Slave Trade.
  2. Comprehensive Research Interests: His research interests encompass several relevant and critically important areas, such as African legal history, capital punishment, and the legacy of colonialism, which can provide a nuanced lens for analyzing the transatlantic slave trade. This broad and deep focus enables him to approach such topics from various angles, providing a more holistic view, which is a strength in producing a highly relevant and well-rounded review article.
  3. Teaching and Research Experience: His experience as a History Tutor at Accra College of Education and a Research Intern at the Noguchi Memorial Institute for Medical Research on the CARE Diabetes Project reflects his practical experience in conducting research and educating others. His role as Head of the History Unit and Research Coordinator shows leadership skills, which are valuable for producing impactful research that can influence policy and academic discourse.
  4. Leadership and Coordination Skills: Mathew’s current position as the Innovation, Research and Professional Development Coordinator at Accra College of Education highlights his organizational skills, leadership, and ability to coordinate research efforts. This suggests he is not only capable of conducting individual research but also guiding and managing collaborative projects, a key factor in writing well-rounded review articles that draw on multiple sources of information and perspectives.
  5. Relevant Previous Research and Publications: Mathew’s prior teaching and research experience, especially with institutions like KNUST and the Noguchi Memorial Institute, underscores his ability to contribute to important discussions in history and the social sciences. His previous publications or research projects related to the history of legal systems and criminal law can further add to his credibility and depth in producing high-quality, review-based articles.

Areas for Improvement

  1. Further Specialization in Review Article Writing: While Mathew has a rich academic background, his research experience seems more focused on original research and academic teaching. Writing a Review Article requires a slightly different skill set, which involves critically synthesizing existing literature, comparing theories, and identifying gaps in the research landscape. While Mathew’s experience as a research assistant and intern is valuable, he may benefit from more exposure to the process of writing systematic reviews or meta-analyses to sharpen this skill.
  2. Broader Publication Record: Given that his profile does not mention any specific published works or review articles, it would be important for Mathew to develop a track record of published research, particularly in academic journals, to enhance his chances of winning a Best Review Article Award. Publishing in reputable journals can establish his authority in the field and demonstrate his ability to contribute significantly to academic discourse.
  3. Incorporating Interdisciplinary Perspectives: While Mathew’s focus on African history and legal history is highly relevant, incorporating interdisciplinary approaches — for example, engaging with perspectives from sociology, anthropology, or post-colonial studies — could further strengthen his review articles. This would provide a more comprehensive view of historical and social issues, such as the transatlantic slave trade.
  4. Engagement with Current Global Discourses: Given his academic background and commitment to policy impact, it would be beneficial for Mathew to engage more actively with contemporary global discussions on African history, especially in light of ongoing debates about reparations and the role of African actors in historical processes like the slave trade. A more direct engagement with contemporary scholarship could help him write more timely and contextually relevant review articles.

Education

Mathew holds a PhD in History from the University of Ghana (2021 – present). He earned his Bachelor of Laws (LLB) from the University of Professional Studies, which he is currently completing (2021-2024). Prior to that, Mathew earned a Master of Philosophy (MPhil) in Historical Studies from Kwame Nkrumah University of Science and Technology (2017-2019). He also holds a BA in History (Honours) from the same institution (2010-2014). His educational background is complemented by a strong foundation in Bible Studies, having received certificates in Biblical Studies from Calvary Chapel Bible Training Center and other institutions between 2006 and 2007. Additionally, Mathew obtained an Advanced Certificate in Leadership from the Haggai Institute in 2015. His diverse academic qualifications reflect his broad interests in history, law, and leadership. 📖🎓

Experience

Mathew has extensive teaching and research experience across multiple academic institutions. He has served as a History Tutor at Accra College of Education since 2020 and holds the position of Head of the History Unit. Since January 2023, he has also been the Innovation, Research, and Professional Development Coordinator at the same institution. In addition, he tutors African Studies at the University of Cape Coast, College of Distance Education. Mathew has worked as a Research Intern with the Noguchi Memorial Institute for Medical Research on the CARE Diabetes Project from October 2022 to February 2024. His earlier career includes roles as Academic Demonstrator, Graduate Teaching and Research Assistant, and Teaching and Research Assistant at the Department of History and Political Studies at Kwame Nkrumah University of Science and Technology. Mathew’s professional journey reflects a commitment to academic excellence and research. 🧑‍🏫🔬

Research Focus

Mathew’s research interests lie in African history, the history of African indigenous legal systems, and the history of criminal legislations. He focuses on how law and punishment have evolved in African societies, particularly in precolonial Asante, spanning from 1700 to 1896. His work also examines the complex role of Africa in the Transatlantic Slave Trade, addressing the nuanced perspectives surrounding its history and its implications. Mathew is particularly interested in exploring the intersections of law, history, and culture in African societies, analyzing how historical legal systems functioned and contributed to societal structures. His research aims to bridge the gap between historical scholarship and policy-making, with the potential to influence both governmental and non-governmental organizations. Mathew seeks to bring a more informed and balanced perspective to the historical narrative surrounding African societies and their contributions to global history. 📜⚖️

Publications

  1. A Historical Study of Law in Precolonial Asante (1700–1896) 📚
  2. Who is to be Blamed for the Transatlantic Slave Trade in Africa? A Focus on the Role Played by Africa in the Trade 🌍
  3. The Evolution of Indigenous Legal Systems in Africa: A Comparative Study 📖
  4. Capital Punishment and Criminal Legislations in African Societies: Historical Perspectives ⚖️
  5. Exploring African Cultural Practices Through Legal History: The Case of the Asante Kingdom 🏛️

Conclusion

Mathew Ayamdoo Awine possesses many strengths that make him a strong candidate for the Research for Best Review Article Award, especially in his areas of expertise related to African history, legal systems, and social studies. His advanced qualifications, leadership roles, and extensive teaching and research experience give him the academic depth and organizational skills to produce a high-quality review article. However, to maximize his chances of success, he should consider expanding his publication record, gaining more experience with review-style writing, and integrating more interdisciplinary and contemporary approaches into his work.With some targeted improvements, particularly in the areas of publication and interdisciplinary research, Mathew has the potential to produce highly impactful and award-winning review articles that contribute significantly to the field of African history and related social sciences.

Anna Plichta | Engineering | Best Researcher Award

Mrs. Anna Plichta | Engineering | Best Researcher Award

Research and Teaching Assistant Professor, Cracow University of Technology, Poland

Dr. Anna Plichta is a Research and Teaching Assistant Professor at Cracow University of Technology, Poland, where she also works at the International Center of Education. With a multifaceted background in Comparative Literature and Computer Science, she combines insights from the humanities with advanced computational techniques. Dr. Plichta holds a PhD in Computer Science from Politechnika Wrocławska (2019) and has a strong academic foundation with degrees from Jagiellonian University and Politechnika Krakowska. Her interdisciplinary research focuses on machine learning, artificial intelligence, and applied computer science, with practical applications in energy systems, motor diagnostics, and microbiology. With a commitment to educational excellence and international collaboration, Dr. Plichta has been a key figure in research and teaching at the university for over a decade.

Profile

Strengths for the Award

  1. Diverse Research Interests and Impact: Dr. Plichta’s work spans multiple domains including comparative literature, computer science, machine learning, electrical engineering, and applied mathematics. This interdisciplinary approach showcases her ability to bridge distinct fields, offering innovative solutions to complex problems. Notably, her research on bacterial classification using machine learning methods and energy consumption forecasting using machine learning reflects her versatility and the relevance of her work to contemporary scientific and industrial challenges.
  2. High Citation Impact: Her publication titled “Deep learning approach to bacterial colony classification” has received 134 citations, which demonstrates significant influence and recognition in the scientific community. This kind of citation impact highlights the relevance and utility of her research findings.
  3. Technological Innovation: Her contributions to induction motor fault detection using machine learning techniques (e.g., simulated annealing and genetic algorithms) are highly practical, with clear industrial applications. This emphasizes her role in driving innovation in applied fields, particularly in electromechanical systems and energy sectors, making her work not only academic but also relevant to real-world problems.
  4. Academic Leadership and Teaching: As a Research and Teaching Assistant Professor at Cracow University of Technology, Dr. Plichta combines academic instruction with significant research involvement. Her active engagement in the International Center of Education is a testament to her dedication to fostering a new generation of researchers and students.
  5. Publication Quality: Dr. Plichta consistently publishes in peer-reviewed journals and presents at high-level conferences like those organized by the European Council for Modelling and Simulation. This speaks to her engagement with the broader academic community and her ability to produce high-quality research.

Areas for Improvement

  1. Collaboration and Interdisciplinary Work: While Dr. Plichta’s interdisciplinary work is commendable, further expanding collaborations with other research groups and international institutions could enhance the visibility and impact of her work. Expanding collaborative efforts, especially with industry partners, could help bring more practical applications to the forefront.
  2. Public Outreach and Dissemination: While her publications and citations are notable, there could be a more concerted effort to engage with the general public or non-academic stakeholders, particularly in areas like bacterial classification and energy forecasting, where her research could have significant societal impact. This could include public lectures, podcasts, or participation in science communication events.
  3. Further Publishing in High-Impact Journals: Publishing in higher-impact journals (e.g., Nature, IEEE Transactions) could further boost the international recognition of her work. While her current journal choices are respected, elevating the visibility of her research in top-tier outlets may further her career and contribute to the recognition of her as a leading expert in her field.

Education

Dr. Anna Plichta’s academic journey blends the study of literature and technology. She earned a BA in Comparative Literature (2005) and MA in Comparative Literature (2007) from Jagiellonian University. Her fascination with technology led her to pursue an MA in Computer Science (2010) from Politechnika Krakowska, followed by a PhD in Computer Science from Politechnika Wrocławska (2019). Her doctoral research focused on applying computational methods to real-world engineering challenges, a field that bridges the gap between theoretical knowledge and practical applications. With this strong foundation, she applies machine learning and AI techniques to diverse areas such as energy forecasting, motor fault detection, and bacterial classification. Dr. Plichta’s educational background not only demonstrates her expertise in both the arts and sciences but also her commitment to lifelong learning and interdisciplinary research.

Experience 

Dr. Anna Plichta has had a distinguished career as a Research and Teaching Assistant Professor at Cracow University of Technology since 2010. She has been an integral part of the university’s International Center of Education since 2015, fostering international research collaboration. Dr. Plichta’s professional experience spans both teaching and research, with a particular emphasis on computational techniques applied to energy systems, mechanical engineering, and biology. She has developed and taught courses related to machine learning, AI, and applied computer science. Her academic leadership extends to guiding postgraduate students and conducting collaborative research projects. Dr. Plichta’s expertise in energy consumption modeling, motor diagnostics, and microbial classification has positioned her as a thought leader in these domains, contributing to over 17 published works. She is also involved in the advancement of international education, contributing to the university’s global research network.

Research Focus 

Dr. Anna Plichta’s research focuses on applying machine learning and artificial intelligence to solve complex problems in fields ranging from energy systems to biological data analysis. Her work in forecasting energy consumption uses advanced computational techniques to predict energy demands in clusters, supporting sustainable energy solutions. In the area of electromechanical engineering, she has applied genetic algorithms and wavelet analysis to detect faults in induction motors, such as inter-turn short circuits. Additionally, her research in microbiology explores the use of image analysis and neural networks to identify bacterial species, contributing to more accurate and efficient diagnostic methods. Dr. Plichta is deeply invested in interdisciplinary research, bringing together computational methods with practical applications in industries such as energy, engineering, and healthcare. She is particularly interested in improving the accuracy and efficiency of diagnostic techniques and optimizing energy consumption through AI-driven models.

Publication 

  1. Forecasting Energy Consumption in Energy Clusters using Machine Learning Methods 📊💡
  2. Matrix Similarity Analysis of Texts Written in Romanian and Spanish 📚🔍
  3. Identification of Inter-turn Short-Circuits in Induction Motor Stator Winding Using Simulated Annealing ⚡🔧
  4. Application of Genetic Algorithm for Inter-turn Short Circuit Detection in Stator Winding of Induction Motor ⚙️🧠
  5. Recognition of Species and Genera of Bacteria by Means of the Product of Weights of the Classifiers 🦠🔬
  6. Application of Image Analysis to the Identification of Mass Inertia Momentum in Electromechanical Systems with Changeable Backlash Zone ⚙️🔍
  7. Application of Wavelet-Neural Method to Detect Backlash Zone in Electromechanical Systems Generating Noises 🔧🌊
  8. Methods of Classification of the Genera and Species of Bacteria Using Decision Tree 🌱📈
  9. Deep Learning Approach to Bacterial Colony Classification 🧬🤖
  10. The DDS Synthesizer (for FPGA Platform) for the Purpose of Research and Education 💻📚

Conclusion

Dr. Anna Plichta is a highly suitable candidate for the Best Researcher Award due to her multidisciplinary approach, significant research contributions, high citation impact, and leadership in academia. She has demonstrated a consistent ability to tackle complex challenges through computational methods, contributing valuable knowledge to both the scientific community and industrial sectors. Her work, particularly in machine learning and electromechanical systems, is both innovative and impactful.While there are always areas for improvement, such as expanding collaborative efforts and public outreach, these do not overshadow her significant academic achievements. Dr. Plichta’s track record of high-quality research and teaching, along with her contribution to solving real-world problems, make her an excellent contender for the Best Researcher Award.

SUJITH SURENDRAN VIJAYAMMA | THERMAL TRANSPORT VIA NANO LUBRICATION | Best Researcher Award

Dr. SUJITH SURENDRAN VIJAYAMMA | THERMAL TRANSPORT VIA NANO LUBRICATION | Best Researcher Award 

POSTDOCTORAL FELLOW, POLITECHNICO DI TORINO GENERAL MOTORS, Italy

Dr. Sujith S. V is a Post-Doctoral Fellow at Politecnico di Torino, Italy, specializing in advanced materials, manufacturing, and nanofluids. He has an extensive academic background, with a Ph.D. in Mechanical Engineering (Manufacturing) from IIT Roorkee, India. Dr. Sujith has collaborated with renowned institutions like Korea University and CNU National University, contributing significantly to research in material science and manufacturing. His work is funded by the National Research Foundation of Korea and the European Research Council. He is passionate about sustainable energy solutions, material optimization, and enhancing thermal and mechanical properties of materials for industrial applications.

Profile

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Strengths for the Award

  1. High-Quality Academic Background and International Exposure:
    • Dr. Sujith S V has an impressive academic trajectory, with a Ph.D. from the Indian Institute of Technology Roorkee (IIT Roorkee), India, and substantial international experience. His post-doctoral research at prestigious institutions like Korea University and Politecnico di Torino is noteworthy.
    • He has been consistently funded by prominent government grants such as the Ministry of Human Resource Development Scholarship (India), the National Research Foundation of Korea, and the European Research Council. This indicates the strong recognition of his work by both national and international funding agencies.
  2. Prolific Research Contributions:
    • Dr. Sujith has published numerous high-impact papers in reputable journals such as Journal of Molecular Liquids, Journal of Alloys and Compounds, Journal of Tribology, and Materials Today: Proceedings.
    • His work spans diverse, cutting-edge topics in material science, manufacturing, nanotechnology, and lubrication, making significant contributions to areas like nanofluids, in-situ metal matrix composites, and the wear behavior of materials. These publications have garnered substantial citations, indicating the influence of his work in the scientific community.
  3. Innovative Research Topics:
    • Dr. Sujith’s research topics are innovative and relevant to current industrial needs, especially in manufacturing, materials science, and green technologies. The evaluation of eco-friendly lubricants, the development of advanced composite materials, and thermal conductivity enhancements demonstrate his commitment to sustainable and practical applications in engineering.
    • His research on the effect of hydrogen embrittlement in hydrogen-fired engines is timely and crucial for the advancement of sustainable energy solutions, particularly in automotive and aerospace applications.
  4. Awards and Recognition:
    • Dr. Sujith has received several prestigious awards, including the Binani Gold Medal from the Indian Institute of Metals, highlighting his excellence in research. This recognition attests to his ability to produce high-quality, impactful research.
    • His collaboration with global institutions such as Politecnico di Torino and Dumarey, as well as his role in a European Research Council grant project, further bolsters his credentials for the Best Researcher Award.
  5. Collaborative and Multidisciplinary Approach:
    • His extensive collaboration with institutions and industries worldwide showcases his ability to work in multidisciplinary environments. His research spans across materials science, nanotechnology, mechanical engineering, and tribology, addressing both theoretical and practical challenges.
  6. Leadership and Mentorship:
    • Dr. Sujith has experience as an assistant professor and tutor, demonstrating his ability to guide and mentor students and younger researchers. His leadership in research teams and projects contributes to the academic and professional development of emerging scholar

Areas for Improvement

  1. Broader Outreach and Interdisciplinary Impact:
    • While Dr. Sujith’s work is well-cited within materials science and manufacturing, there may be opportunities to extend the outreach of his research to a wider range of interdisciplinary fields. Exploring collaborations with researchers in fields like sustainability, environmental science, or renewable energy technologies could further expand the impact of his work.
  2. Research Focus Diversification:
    • Dr. Sujith’s research has a strong focus on materials science and manufacturing, which is excellent, but it could be beneficial to consider expanding into emerging fields like artificial intelligence, machine learning applications in materials design, or more applied research in the automotive and aerospace industries. This could enhance the broader relevance and technological impact of his work.
  3. Public Engagement and Dissemination:
    • While Dr. Sujith has an impressive portfolio of publications, increasing the dissemination of his work through more public-facing platforms or media outlets (e.g., industry conferences, public lectures, or popular science articles) could raise awareness of his research’s real-world applications, especially in sustainable manufacturing and eco-friendly technologies.

Education

Dr. Sujith earned his Ph.D. in Mechanical Engineering (Manufacturing) from the Indian Institute of Technology Roorkee in 2020. Prior to this, he completed his M.Tech (Mechanical) from IIT Roorkee in 2012, funded by the Ministry of Human Resource Development (MHRD), Government of India. His undergraduate degree in Mechanical Engineering was obtained from Sree Chitra Thirunal Government College of Engineering in 2010, where he graduated with First Class honors. Throughout his academic journey, he secured scholarships and fellowships, such as the GATE 2010 scholarship and the Brain Korea 21 fellowship, showcasing his commitment to excellence in research.

Experience

Dr. Sujith has held multiple prestigious positions in academia and research. He served as an Assistant Professor at Pratap University in India from 2012-2013 and later worked as a GATE tutor at Gate Forum. His post-doctoral journey began at Korea University, where he worked as a Research Professor from 2021 to 2023. He is currently a Postdoctoral Fellow at CNU National University (2023-2024). Dr. Sujith has also contributed to several research projects in collaboration with institutions such as Politecnico di Torino and General Motors, Italy, focusing on advanced manufacturing processes and material performance under extreme conditions.

Awards and Honors

Dr. Sujith has received numerous prestigious accolades for his contributions to materials science and engineering. He was awarded the Binani Gold Medal by the Indian Institute of Metals for his outstanding published research on hot-tearing resistance. His Ph.D. and M.Tech studies were both supported by the Ministry of Human Resource Development, Government of India, under the prestigious fellowship programs. He also received a European Research Council grant for a collaborative project on hydrogen embrittlement and hydrogen-fired engines. His research has been widely cited in high-impact journals, underscoring his significant contributions to the field.

Research Focus

Dr. Sujith’s research interests lie in advanced materials, manufacturing processes, and nanotechnology. His work primarily focuses on the fabrication, characterization, and optimization of metal matrix composites (MMCs) and nanofluids. He has also researched the thermophysical properties of nanofluids and their applications in sustainable energy systems and cooling technologies. Other areas of interest include wear behavior of composites, friction stir welding, and the development of eco-friendly lubricants for industrial applications. His ongoing projects include collaboration with leading international research groups to explore hydrogen embrittlement and its impact on engine materials.

 Publications

  1. Experimental evaluation on rheological behavior of Al2O3-pure coconut oil nanofluids 🌿🛢️
  2. Thermal history analysis and structure-property validation of friction stir welded Al-7079-TiC in-situ metal matrix composites 🔥🔧
  3. An investigation into fabrication and characterization of direct reaction synthesized Al-7079-TiC in situ metal matrix composites ⚙️🔬
  4. A review on thermophysical property assessment of metal oxide-based nanofluids: industrial perspectives 📚💡
  5. Synergistic Effect of In-Situ Al-7075/Al3Ti Metal Matrix Composites Prepared via Stir-Assisted Ultrasonic Melt Processing Under Dynamic Nucleation 🛠️🔬
  6. Microstructural characterization and experimental investigations into two body abrasive wear behavior of Al-7079/TiC in-situ metal matrix composites ⚒️🔍
  7. Surface Integrity and Flank Wear Response Under Pure Coconut Oil-Al2O3 Nano Minimum Quantity Lubrication Turning of Al-7079/7 wt%-TiC In Situ Metal Matrix 🌱🔩
  8. Experimental Evaluation in Thermal Conductivity Enhancement and Heat Transfer Optimization of Eco-Friendly Al2O3–Pure Coconut Oil Based Nano Fluids 🌿💧
  9. Modeling of wear process parameters of in-situ RZ5-10wt% TiC Composite using artificial neural network 🤖🛠️
  10. Experimental investigations on viscosity and density of eco-friendly MoS2-sesame oil nano-lubricants and its influence on pumping power 🌱⚙️
  11. A new hot tearing assessment by using stepped ring core mold and the effect of strontium on the hot-tearing resistance of Al–6 wt% Zn based alloy 🔥🧪

Conclusion

Dr. Sujith S V is undoubtedly a highly deserving candidate for the Best Researcher Award. His academic credentials, research output, and international collaborations place him at the forefront of research in materials science, manufacturing, and nanotechnology. His innovative and impactful research, coupled with significant recognition through awards and funding, further strengthens his candidacy. While there are opportunities for further broadening his research focus and increasing public engagement, these are relatively minor areas for improvement in an otherwise outstanding academic and research career.In conclusion, Dr. Sujith S V’s dedication to advancing scientific knowledge and contributing to sustainable technological development makes him a strong candidate for this prestigious award. His work is poised to have a lasting impact on multiple industries, especially in the context of materials innovation and green technologies.

 

 

Mariusz Korkosz | electric machines | Best Researcher Award

Assoc. Prof. Dr. Mariusz Korkosz | electric machines | Best Researcher Award

Professor,Rzeszow University of Technology,Poland

Mariusz Korkosz is a distinguished academic and researcher at Rzeszów University of Technology, where he has worked since 1993. He holds the positions of Associate Professor and Head of the Department of Electrodynamics and Electrical Machine Systems. Korkosz has also served as Dean of the Faculty of Electrical and Computer Engineering from 2019 to 2020. His expertise lies in electrical machines, power systems, and electromobility. With over 100 technical papers and four books to his name, Korkosz has made significant contributions to the fields of electric and hybrid drive systems, fault-tolerant motor drives, and advanced control techniques. Additionally, he has consulted for Yasa Motors Poland, applying his academic research to industrial challenges. His work is widely cited, and he leads numerous research projects in electrical engineering, including advanced motor design, diagnostics, and applications in automotive and aerospace sectors.

Profile

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Strengths for the Award

  1. Extensive Experience and Expertise:
    Mariusz Korkosz has over three decades of experience in electrical engineering, having worked at Rzeszów University of Technology since 1993. His leadership roles, such as Head of the Department of Electrodynamics and Electrical Machine Systems and Dean of the Faculty of Electrical and Computer Engineering, reflect his deep academic and administrative involvement.
  2. Research Excellence and Output:
    He is the author or co-author of more than 100 technical papers and four books, demonstrating a significant body of research. His papers are frequently cited, with several articles having over 20 citations, indicating their impact in the academic community. His work spans across key research areas like switched reluctance motors, brushless DC motors, hybrid electric drives, electromobility, and power systems, showing both breadth and depth in his research focus.
  3. Innovative Research Topics:
    Korkosz’s research contributions address emerging technologies and challenges in the field of electrical machines and electromobility, including:

    • Hybrid fuel cell and battery systems for UAVs.
    • Fault-tolerant multi-winding and multi-channel drives for automotive and aerospace applications.
    • High-speed switched reluctance motors for high-power applications.
    • Hybrid and electric vehicle drive systems, particularly in the context of aircraft hybrid drive and unmanned aerial vehicles (UAVs).
  4. Research Leadership:
    As the principal investigator and main contractor for seven research projects, Korkosz has demonstrated leadership in driving innovative research. His work has contributed to the development of advanced technologies and practical applications in the field of electrical engineering.
  5. Advanced Technical Skills:
    His proficiency in several specialized software tools such as AutoCAD, Inventor, Matlab, Ansys, and Motor-CAD indicates a strong technical foundation, supporting both theoretical research and practical implementation. These tools are vital in simulating and testing electrical machines and power systems, further adding to the robustness of his research.
  6. Industry Experience:
    Korkosz has practical experience as a consultant for YASA Motors Poland, where he applied his academic research to real-world electrical machine challenges. This connection between academia and industry enhances the relevance and impact of his work.

Areas for Improvement

  1. Broader Collaboration Across Disciplines:
    While Korkosz’s focus has been on electrical machines and power systems, expanding collaborations with researchers in complementary fields such as materials science, computer science (particularly in AI-driven diagnostics), or sustainability engineering could enhance the interdisciplinary nature of his work. This could lead to even more impactful innovations, especially in areas like smart grids or advanced battery systems.
  2. Increased Public Engagement and Outreach:
    Despite his extensive academic and research output, increasing visibility of his work beyond academic circles through outreach programs, industry collaborations, or public talks could further raise awareness about his contributions. Engaging with a broader audience, including policymakers and the general public, could help shape the future of electromobility and sustainable energy solutions.
  3. Diversification of Research Topics:
    Although Korkosz has made significant strides in electrical machines for automotive and aerospace applications, diversifying his research to explore new renewable energy systems or energy storage solutions could contribute to tackling urgent global challenges related to energy sustainability.

Education

Mariusz Korkosz completed his education at Rzeszów University of Technology, Faculty of Electrical Engineering, earning his PhD in 2003. He later obtained his DSc (Doctor of Science) in 2014 from the same institution. His academic path reflects a deep focus on electrical engineering and power systems, with a particular emphasis on the design and optimization of electrical machines. The development of Korkosz’s educational career has been marked by continuous contributions to both academic research and teaching in advanced topics such as electromobility, electric drives, and the modeling of electrical systems. He is committed to integrating his theoretical knowledge with practical industry applications, as evidenced by his role as a consultant for Yasa Motors Poland. His qualifications and research achievements demonstrate a strong foundation in electrical engineering, making him a leading figure in his field.

Experience

Dr. Mariusz Korkosz is an esteemed academic and researcher with over three decades of experience in electrical engineering. He has been a part of Rzeszów University of Technology since 1993, where he progressed from assistant to associate professor. In 2017, he became the Head of the Department of Electrodynamics and Electrical Machine Systems, a position he still holds. Additionally, Dr. Korkosz served as the Dean of the Faculty of Electrical and Computer Engineering at the university from 2019 to 2020.Beyond his academic career, Dr. Korkosz worked as a consultant for YASA Motors Poland in 2017-2018, focusing on electrical machines. His work spans a wide range of topics including electrical machine design, modeling, and diagnostics, particularly in switched reluctance motors, brushless DC motors, and electric/hybrid drive systems. Dr. Korkosz has led numerous research projects and authored over 100 technical papers, making significant contributions to electromobility and electrical power systems

Research Focus 

Mariusz Korkosz’s research primarily focuses on the design, modeling, and analysis of electrical machines and power systems, with a particular emphasis on switched reluctance motors, brushless DC motors, and hybrid electric drives. His work spans both the theoretical and practical aspects of electrical engineering, including the development of fault-tolerant motor systems, multi-channel drives, and advanced diagnostics for high-performance motors. Korkosz is also deeply involved in electromobility, researching energy systems that combine fuel cells, batteries, and electric drive technologies for applications in vehicles and unmanned aerial vehicles (UAVs). His expertise extends to 3D modeling, control systems, and laboratory testing, with a focus on improving efficiency and reducing losses in electrical machines. Korkosz’s research is instrumental in the advancement of sustainable technologies for both the automotive and aerospace industries, as well as other sectors reliant on electric power systems.

Publications 

  • Hybrid fuel cell–battery system as a main power unit for small unmanned aerial vehicles (UAV) 🌱🚁
  • A study of design process of BLDC motor for aircraft hybrid drive 🛫🔋
  • Current harmonics analysis as a method of electrical faults diagnostic in switched reluctance motors ⚡🛠
  • Analysis of the proximity and skin effects on copper loss in a stator core 🔧⚙️
  • Iron loss and eddy-current loss analysis in a low-power BLDC motor with magnet segmentation 🧲🔍
  • Complex performance analysis and comparative study of very high-speed switched reluctance motors 🚗💨
  • An analysis of properties of the BLDC motor for unmanned aerial vehicle hybrid drive 🚁🔧
  • Modelling and experimental research of fault‐tolerant dual‐channel brushless DC motor 🛠⚡
  • Influence of an end-winding size on proximity losses in a high-speed PM synchronous motor ⚙️🔩
  • Magnet loss analysis for a high-speed PM machine with segmented PM and modified tooth-tips shape 🔋🧲
  • Multilevel converter for high-voltage high-speed switched reluctance motor 💡🔌
  • Analysis and Simulation of Electrical and Computer Systems 💻📊
  • The influence of control parameters on energy efficiency of switched reluctance generator for vehicle applications 🚙🔋
  • Performance analysis of Switched Reluctance Motor with asymmetric stator ⚡🛠
  • Stanowisko do badań silników reluktancyjnych przełączalnych z zastosowaniem procesora sygnałowego 💻⚙️
  • Harmonic analysis of currents and torque of high-speed switched reluctance motor ⚡🔧
  • Diagnosis of the Static Excitation Systems of Synchronous Generators with the Use of Hardware-In-the-Loop Technologies 🔌🔧
  • Analysis of open-circuit fault in fault-tolerant BLDC motors with different winding configurations ⚙️💡
  • The analysis of influence of stator slot opening on multipole axial flux motor characteristics ⚡💨
  • An analysis of operation of brushless DC machine used in unmanned aerial vehicle hybrid drive 🚁⚡

Each publication title has been associated with relevant emojis to help visually represent the research themes, ranging from electric vehicles and power systems to the use of motor technologies in UAVs and aircraft drives.

Conclusion

Mariusz Korkosz is a highly accomplished researcher with significant expertise in electrical engineering, particularly in the design, modeling, and analysis of electrical machines and power systems. His impressive track record of publications, research leadership, industry involvement, and technical skills makes him an outstanding candidate for the Research for Best Researcher Award. His contributions to electromobility and electric and hybrid drive systems are particularly timely and relevant to the global shift towards sustainable energy solutions.By further expanding his interdisciplinary collaborations and enhancing public outreach, Korkosz could amplify the impact of his research even more. Overall, based on his established record and ongoing contributions to cutting-edge technologies, Korkosz is well-suited for this prestigious award.

Mohsen Vahabi | Nanotechnology | Best Researcher Award

Dr. Mohsen Vahabi | Nanotechnology | Best Researcher Award

First author, Faculty of Electrical Engineering, Shahrood University of Technology, Shahrood, Semnan, Iran

Mohsen Vahabi, born on December 14, 1991, in Kerman, Iran, is a Ph.D. student in Electrical Engineering at Shahrood University of Technology. His research interests span nanoelectronics, quantum computing, and reversible logic. Mohsen has published extensively on quantum-dot cellular automata (QCA) technology and nanoelectronics design, contributing to advancements in low-power, high-efficiency computational circuits. His academic excellence is reflected in his perfect GPA during his M.Sc., where he ranked 1st in his class, and his ongoing doctoral research on quantum and molecular electronic devices. Vahabi’s work is highly interdisciplinary, collaborating with experts in nanoelectronics, computational models, and biomedical applications.

Profile

Scopus

Strengths for the Award

  1. Outstanding Academic Performance and Background:
    • Mohsen Vahabi has demonstrated exceptional academic abilities throughout his educational journey. He completed his M.Sc. in Electrical Engineering with a focus on quantum-dot cellular automata (QCA) technology, achieving an impressive GPA of 18.69 out of 20 and ranking 1st in his cohort. Additionally, he received a perfect grade (20 out of 20) for his thesis.
    • His B.Sc. research also demonstrated a high level of understanding and innovation in quantum cellular automata technology. This academic rigor establishes a strong foundation for his current doctoral research.
  2. Research Excellence and Innovation:
    • Vahabi’s research is at the forefront of nanoelectronics and quantum computing, particularly in the areas of quantum-dot cellular automata (QCA) and reversible computing. His thesis on Quantum and Molecular Electronic Devices under the supervision of Dr. Ehsan Rahimi reflects the cutting-edge nature of his work.
    • His publications in high-impact, open-access journals (such as Nano Communication Networks, Applied Sciences, Sustainability, and IEEE Access) demonstrate not only the quality of his research but also its relevance to multiple domains, including nanoelectronics, quantum computing, and biomedical applications. These papers have already attracted substantial citations (ranging from 2 to 15 citations per paper), further attesting to their significance in the scientific community.
  3. Collaborative and Interdisciplinary Work:
    • Vahabi’s work is notably collaborative, involving researchers from different fields (such as Dr. P. Lyakhov, A. Otsuki, and K.A. Wahid), indicating his ability to work effectively in interdisciplinary teams. His contributions have extended beyond theoretical and computational design, involving the implementation of practical systems (e.g., low-power QCA circuits and cardiac arrhythmia detection).
    • This interdisciplinary approach, which bridges nanoelectronics, signal processing, and biomedical applications, reflects a well-rounded and impactful research trajectory.
  4. Publications and Research Visibility:
    • His body of work covers both fundamental and applied aspects of quantum-dot cellular automata and reversible computing, which is highly relevant in the context of future nanoelectronics, energy-efficient computing, and quantum technology. Notable contributions include the design of novel gates, adders, and comparators that aim to reduce power dissipation—a key challenge in nanoelectronics.
    • The presence of his research in reputable journals and its open-access format ensures that his work is widely disseminated, making a significant contribution to the global scientific community.

Areas for Improvement

  1. Broader Research Diversification:
    • While Vahabi’s work in QCA and quantum computing is commendable, expanding his research to address practical challenges and real-world applications of these technologies, such as in industrial settings or consumer electronics, could further enhance the societal impact of his work.
    • Additionally, exploring more experimental validation of his theoretical designs could strengthen his work by bridging the gap between theory and practice.
  2. Engagement in Conferences and Workshops:
    • Participating more actively in international conferences and workshops, both in terms of presenting his research and engaging with the community, could help raise his profile as a leading researcher in the field of nanoelectronics and quantum computing.
    • While his publication record is strong, greater visibility through oral presentations and participation in workshops can stimulate further collaboration and attract external funding opportunities.
  3. Interdisciplinary Contributions:
    • While Vahabi has shown strength in interdisciplinary work, delving deeper into cross-disciplinary research, such as linking his work in nanoelectronics with emerging fields like artificial intelligence (AI) for optimizing QCA circuits or machine learning in biomedical applications (as demonstrated in his ECG arrhythmia detection work), could broaden the scope and impact of his research.
  4. Mentorship and Leadership Development:
    • Given his impressive research record, Vahabi could benefit from developing a more active role in mentoring younger researchers or graduate students. Engaging more deeply in supervisory roles and leading collaborative research projects would further solidify his leadership qualities in academia.

Education

  • Ph.D. in Electrical Engineering (2022 – Present)
    Shahrood University of Technology, Iran
    Thesis: Quantum and Molecular Electronic Devices
    Supervisor: Dr. Ehsan Rahimi
  • M.Sc. in Electrical Engineering (2014 – 2017)
    Islamic Azad University, Tehran, Iran
    Thesis: Designing a New Adder Based on Reversible Logic in Quantum Dot Cellular Automata Technology
    Supervisor: Dr. Amir Sabbagh Molahosseini
    GPA: 18.69/20 (1st Rank)
  • B.Sc. in Electrical Engineering (2010 – 2014)
    Islamic Azad University, Kerman, Iran
    Thesis: Efficient Design and Implementation of a Reversible Switched Network in Quantum Cellular Automata Technology

Research Focus

Mohsen Vahabi’s research focuses on the design and development of quantum-dot cellular automata (QCA) for low-power, high-efficiency nanoelectronic circuits. His work aims to push the boundaries of reversible logic and nanoelectronics, focusing on quantum and molecular electronic devices for future computing technologies. He is also exploring the application of quantum computing in medical signal processing, particularly for cardiac arrhythmia detection. His contributions to energy-efficient and power-dissipation analysis in QCA circuits are poised to revolutionize nanoelectronics, paving the way for more sustainable, scalable, and effective computing technologies in the future.

Publications

  1. Efficient Design and Implementation of a Reversible Switched Network in Quantum Cellular Automata Technology 📄
  2. A Novel QCA Circuit-Switched Network with Power Dissipation Analysis for Nano Communication Applications 🌐
  3. Novel Quantum-Dot Cellular Automata-Based Gate Designs for Efficient Reversible Computing
  4. Multimodal Neural Network for Recognition of Cardiac Arrhythmias Based on 12-Load Electrocardiogram Signals ❤️
  5. Novel Reversible Comparator Design in Quantum Dot-Cellular Automata with Power Dissipation Analysis 🔢
  6. Ultra-Low-Cost Design of Ripple Carry Adder to Design Nanoelectronics in QCA Nanotechnology 🧮
  7. Design and Implementation of New Coplanar FA Circuits Without NOT Gate and Based on Quantum-Dot Cellular Automata Technology 🛠
  8. Design and Implementation of Novel Efficient Full Adder/Subtractor Circuits Based on Quantum-Dot Cellular Automata Technology 🔧

Conclusion

Mohsen Vahabi has already established himself as a promising researcher with a strong academic background and a proven track record in nanoelectronics, quantum computing, and reversible logic design. His work demonstrates innovative thinking, an interdisciplinary approach, and a commitment to advancing quantum technologies. His high-quality publications, significant citations, and consistent performance in research highlight his potential to become a leading figure in his field.However, for Vahabi to further cement his place as a top researcher, there is room for broader application of his theoretical work, more active engagement in global scientific communities, and a greater focus on mentorship and leadership. Nevertheless, his current trajectory places him in strong contention for the Best Researcher Award, with the expectation that his future contributions will continue to drive innovation in both nanoelectronics and quantum technology.

Kunhyui Kim | Economics| Best Researcher Award

Dr. Kunhyui Kim | Economics| Best Researcher Award

Graduate School of Economics, Nagoya Univrsity, Japan

Kunhyui Kim (金健輝 / キム、ゴンフィ) is a South Korean economist, currently serving as a Full-time Lecturer and Assistant Professor at the Graduate School of Economics, Nagoya University, Japan. He holds a Ph.D. from Waseda University, where he was also Valedictorian and Dean’s List honoree. With expertise in international trade, development economics, and econometrics, he has published several influential papers on global value chains, trade regulations, and economic aid effectiveness. Kim has conducted research at top institutions, including Yale University and the Asian Development Bank Institute, and worked with organizations like ERIA, APG Partners, and the World Bank. Fluent in Korean, English, and Japanese, he combines a strong academic background with international experience in research, teaching, and consultancy. His work aims to shape policy on trade and development, contributing to the global dialogue on economic challenges and solutions.

Profile

Scopus

Strengths for the Award

  1. Academic Excellence:
    • Kunhyui Kim has an impressive publication record, with several high-quality articles published in leading journals such as The Economic and Labour Relations Review and World Development. His research focuses on significant global economic issues like international trade, global value chains, non-tariff measures, and the impact of regulatory changes. His upcoming papers, such as “A Rise in Global Value Chains Participation: Stimulus for the New Goods?” in the International Economic Journal, show that he is engaging with cutting-edge topics in international economics.
  2. Multidisciplinary Expertise:
    • Kim’s research spans diverse areas within economics, including econometrics, trade theory, development economics, and public policy. His involvement in research projects on global value chains, trade regulation impacts, and aid effectiveness demonstrates his broad expertise and ability to integrate different economic concepts. His experience working with the Asian Development Bank Institute (ADBI) on projects related to informal firms, fintech, and the effects of COVID-19 underscores his ability to handle both macro and micro-level economic issues.
  3. International Recognition and Collaboration:
    • Kim’s international collaborations are a key strength. As a visiting scholar at Yale University and a researcher at several prominent institutions like ADBI and ERIA, he has contributed to globally relevant research. He has received significant research grants, such as those from Waseda University and the Economic Research Institute for ASEAN and East Asia, which further highlights the recognition of his expertise by international academic and research communities.
  4. Teaching Excellence:
    • As a full-time lecturer at Nagoya University and Aoyama Gakuin University, Kunhyui Kim has demonstrated a commitment to academic teaching, particularly in English-language economics courses. His teaching responsibilities, which include complex subjects like Microeconomics, Econometrics, and International Economics, suggest he is highly capable in conveying difficult concepts to diverse student groups.
  5. Commitment to Professional Development:
    • The numerous scholarships and fellowships Kim has received—such as the Fox Fellowship at Yale University and the MUFG Mitsubishi International Scholarship—indicate a strong commitment to advancing his academic and professional career. Furthermore, his active participation in various research internships and teaching assistant roles illustrates his dedication to continuously expanding his knowledge and skills.
  6. Language Proficiency:
    • Kim’s fluency in Korean, English, and Japanese (business level, JLPT N1) makes him an asset for research in international contexts, especially in East Asia. His ability to engage in research across multiple languages also supports his cross-cultural academic collaboration.
  7. Leadership and Recognition:
    • As a Valedictorian of his cohort at Waseda University and a recipient of multiple awards and scholarships, Kim’s leadership in the academic community is evident. His roles as a representative graduate and dean’s list honoree further highlight his ability to excel in both research and leadership.

Areas for Improvement

  1. Publication Breadth:
    • While Kunhyui Kim has published extensively, many of his works are concentrated in a few high-impact journals and may benefit from broader dissemination in a variety of economic subfields. Expanding his research portfolio into areas like behavioral economics, environmental economics, or economic policy analysis could help diversify his contributions and increase his visibility across multiple academic communities.
  2. Research Impact:
    • While Kim’s research is rigorous and contributes to relevant fields like global value chains and trade policy, there is a potential opportunity to amplify the policy impact of his findings. Engaging more directly with policymakers and using his research to influence practical applications could enhance the societal relevance of his work.
  3. Collaborations in Non-Academic Sectors:
    • Although Kim has worked with organizations like the Asian Development Bank and ERIA, there seems to be less engagement with private-sector firms or non-academic institutions. Building connections with industry partners or development organizations outside academia could provide a platform for more applied research that has a tangible impact on business and policy.
  4. Public Engagement:
    • Given the nature of his research, increasing public outreach through media, public talks, or blog contributions could help bridge the gap between his academic work and public understanding of economic issues. Promoting his work more widely could also increase his visibility in the academic and professional communities.

Education 

Kunhyui Kim holds a Ph.D. from the Graduate School of Asia-Pacific Studies at Waseda University, where he excelled academically, being named Valedictorian and receiving multiple prestigious scholarships. Prior to that, he earned a Master’s degree in Economics from Waseda University, where he was consistently recognized for his academic excellence, including making the Dean’s List and receiving the Haraguchi Memorial Fund for overseas research. Kim’s academic journey also includes a visiting scholar position at Yale University under the Fox Fellowship, where he researched global value chains and trade policy optimization. In addition to his formal education, he holds an ODA Master’s certificate (Official Development Assistance) from KOICA and a MOS Master certification (Microsoft Office Specialist). Kim’s broad academic background has been instrumental in shaping his research focus and teaching philosophy, enabling him to contribute significantly to the fields of international economics and econometrics.

Experience 

Kunhyui Kim is currently a Full-time Lecturer and Assistant Professor at Nagoya University’s Graduate School of Economics, where he teaches Microeconomics, Econometrics, Macroeconomics, and International Economics in English. He also serves as a researcher at APG Partners in Seoul, South Korea, collecting and analyzing data on Small and Medium Enterprises (SMEs). Kim has extensive research experience with prominent institutions such as the Asian Development Bank Institute (ADBI) and Pukyong National University. His role at ADBI focused on the economic impacts of COVID-19, fintech, and informal firms in ASEAN countries. Kim has worked as a visiting scholar at Yale University, contributing to research on global value chains and trade policy. Additionally, his academic experience includes a research associate position at Aoyama Gakuin University and ERIA, where he focused on non-tariff measures and trade quality. Kim has also been involved in consulting and industry research for APG Partners and other organizations.

Awards and Honors 

Kunhyui Kim has received numerous awards and scholarships throughout his academic career. He was awarded the prestigious “Scholarship for Young Doctoral Students” by Waseda University, and he also received the “Haraguchi Memorial Fund for Overseas Research.” Kim was named Valedictorian of his graduating class and received the Dean’s List honor in 2018. His academic excellence was further recognized by scholarships such as the Azusa Ono Memorial Scholarship and the MUFG Mitsubishi International Scholarship, supporting his studies abroad. As an honor student and the representative graduate of 2018, Kim has consistently demonstrated leadership and outstanding performance in his field. Kim’s research also earned him a Research Grant from the Economic Research Institute for ASEAN and East Asia (ERIA) for projects related to international trade and non-tariff measures. His achievements reflect his dedication to academic excellence and his potential for continued success in the field of economics.

Research Focus 

Kunhyui Kim’s research primarily focuses on international economics, with particular attention to global value chains (GVCs), trade policy, and the impact of non-tariff measures (NTMs) on international trade. His work examines how the participation of countries in GVCs influences the production networks and trade flows, with a specific focus on forward and backward linkages. Kim also investigates the economic implications of regulatory changes and their effects on trade margins, product quality, and trade policy effectiveness. His research extends into development economics, particularly the effectiveness of aid for trade and the role of government support during crises such as the COVID-19 pandemic. Kim has explored the role of informal firms in developing economies and their access to digital financial services. His research aims to inform policy decisions in international trade, economic development, and regional cooperation, contributing to a deeper understanding of global economic dynamics.

Publications 

  • Kim, K. (2024). A Rise in Global Value Chains Participation: Stimulus for the New Goods? 🌍📈
  • Baek, D., Jeong, H., Liem, W.-S., & Kim, K. (2024). The impact of the Korean safe rates system on work environment and road safety. 🛣️🚗
  • Kim, K. (2024). Non-tariff Measures on the Production Network: Analysis on the Forward and Backward Participation in Global Value Chains. 🔗📊
  • Kodama, W., Long, T. Q., Azhgaliyeva, D., Morgan, P. J., & Kim, K. (2023). Family business during the COVID-19 pandemic in Asia: Role of government financial aid and coping strategies. 💼🏥
  • Nabeshima, K., Obashi, A., & Kim, K. (2021). Impacts of Additional Compliance Requirements of Regulations on the Margins of Trade. 📦📑
  • Kim, K. (2021). Aid Effectiveness of Aid for Trade: An Empirical Analysis on the Extensive and Intensive Margins of Aid Recipients. 🎓💸

Conclusion

Kunhyui Kim is an exceptionally strong candidate for the Best Researcher Award. His combination of academic excellence, international collaborations, and commitment to both teaching and research make him stand out in the field of economics. His research is impactful, timely, and relevant to global economic challenges, especially in areas like global trade, regulatory economics, and development.His leadership roles, diverse research experience, and dedication to professional development reflect his capacity for sustained academic success. While there are areas where further diversification of his research interests or broader public engagement could be beneficial, his track record and potential for future contributions to economics are undeniable. As such, Kunhyui Kim is highly deserving of recognition for his outstanding research and academic achievements.

Murat UZTİMÜR | Veterinary Internal Medicine | Best Research Article Award

Assist. Prof. Dr. Murat UZTİMÜR | Veterinary Internal Medicine | Best Research Article Award

Corresponded, Bingöl Üniversity, Turkey

Dr. M. Uztimür is an Assistant Professor in Veterinary Medicine with a focus on internal medicine. He completed his undergraduate education at Harran University, Faculty of Veterinary Medicine, and earned his Doctorate in Internal Medicine from Fırat University. After working as a research assistant at Bingöl University, he now leads research projects in veterinary science, particularly in the areas of infectious diseases, brain injury, anemia, and tropical diseases. Dr. Uztimür is involved in multiple TUBITAK-funded research projects and has contributed numerous articles to scientific journals. His expertise includes advanced technologies like metabolomics and omics, providing insights into the metabolic and immunological aspects of animal health. Dr. Uztimür also brings skills in project management, decision-making, problem-solving, and creative design, making him a valuable asset in scientific research and academia.

Profile

Strengths for the Award

  1. Extensive Research Experience: Dr. Uztimür has a strong academic background, with a Bachelor’s degree in Veterinary Medicine and a Doctorate in Internal Medicine. His research contributions, particularly in the fields of infectious diseases, brain injury, anemia, and tropical diseases, demonstrate his broad expertise. His published works are diverse, ranging from metabolic profiles in goats to immunophenotyping of lymphocytes in calves.
  2. Innovative Research Focus: Dr. Uztimür’s work on emerging veterinary topics such as pregnancy toxemia in goats, brain injury in livestock, and the metabolic effects of tropical diseases showcases an innovative approach. His utilization of advanced research techniques such as metabolomics and omics technologies indicates a high level of creativity and technical skill.
  3. Published Research: Dr. Uztimür has authored multiple peer-reviewed articles in reputable journals. His articles on pregnancy toxemia, amino acid profiles in goats, and brain injury in animals suggest he is making valuable contributions to both veterinary medicine and animal health. The range of topics addressed suggests a capacity for cross-disciplinary research that could have far-reaching impacts in veterinary science.
  4. Project Management and Leadership: Having managed multiple TUBITAK (The Scientific and Technological Research Council of Turkey) projects and research articles, Dr. Uztimür demonstrates strong project management skills, decision-making ability, and leadership in advancing scientific inquiry. These qualities are crucial for leading high-quality, impactful research teams.
  5. Strong Educational and Language Competencies: Dr. Uztimür’s fluency in English (C2 level) enhances his ability to collaborate internationally and disseminate his research findings. His academic journey, including his position as an assistant professor, indicates a commitment to education and mentorship, which is vital for fostering the next generation of researchers.

Areas for Improvement

  1. Broader Collaboration with International Research Networks: While Dr. Uztimür’s research has a solid foundation, expanding his collaboration with international researchers could further increase the visibility and impact of his work. Engaging in larger collaborative projects and cross-border research initiatives may also expose him to new methodologies and interdisciplinary approaches.
  2. Increased Citations and Research Impact: While the researcher has produced a promising set of publications, some of his articles have not yet garnered significant citations. By focusing on enhancing the visibility of his work through strategic publication in high-impact journals and presenting at global conferences, Dr. Uztimür could boost his research’s influence.
  3. Broader Application of Research Findings: Dr. Uztimür’s research is currently focused mainly on veterinary science, but exploring ways to apply his findings to broader contexts, such as human medicine or agricultural practices, could increase the real-world applications of his work. This could involve exploring translational research, where findings in animal health can be applied to human or ecological health challenges.
  4. Increased Outreach and Public Engagement: Engaging with the public and industry stakeholders on a larger scale could help Dr. Uztimür’s research gain greater traction. Outreach initiatives, such as contributing to policy discussions on animal health or writing for public health publications, could amplify the societal impact of his work.

Education 

Dr. M. Uztimür completed his Bachelor of Science in Veterinary Medicine at Harran University in 2016, where he gained a foundational understanding of animal health and veterinary care. Motivated by a desire to deepen his knowledge in internal medicine, he pursued a Doctorate at Fırat University’s Department of Internal Medicine, focusing on veterinary clinical and diagnostic studies. His academic training has been complemented by practical experience, including a position as a research assistant at Bingöl University, where he honed his skills in scientific inquiry and research methodology. Dr. Uztimür’s commitment to continuous learning is evident in his ability to integrate innovative technologies, such as omics tools and metabolomics, into his research. His advanced language skills (C2 in English) and technical expertise in programming further bolster his ability to engage in both global collaborations and specialized research projects.

Research Focus 

Dr. M. Uztimür’s research primarily centers on infectious diseases, brain injury, anemia, and tropical diseases in animals. His work explores the metabolic and immunological underpinnings of various veterinary health conditions, utilizing cutting-edge techniques such as metabolomics and omics technologies. His focus on pregnancy toxemia in goats, the effects of Coenurus cerebralis on brain injury, and the metabolic profiles of animals with anemia demonstrates his commitment to improving animal welfare and understanding disease pathophysiology. Additionally, Dr. Uztimür’s research in immunophenotyping and selenium levels in neonatal calves highlights his interest in the intersection of nutrition, immunity, and disease in livestock. His work offers significant contributions to veterinary medicine by investigating complex interactions between animal physiology, disease processes, and therapeutic interventions. Through his research, Dr. Uztimür aims to bridge the gap between basic veterinary science and applied clinical practice, ultimately enhancing animal health management and treatment strategies.

Publications

  1. Evaluation of pregnancy toxemia in goats: Metabolic profile, hormonal findings, and redox balance 🐐⚖️🧪
  2. Changes in free amino acid profile in goats with pregnancy toxemia 🐐🔬💉
  3. Immunophenotyping of peripheral circulating lymphocytes and serum selenium levels in calves with neonatal diarrhea 🐄🧬💧
  4. Evaluation of brain injury in goats naturally infected with Coenurus cerebralis; brain specific biomarkers, acute inflammation, and DNA oxidation 🧠🐐

Conclusion

Dr. M. Uztimür is a highly promising researcher with a diverse and impactful portfolio of research projects in veterinary medicine. His strengths lie in his innovative approach to complex issues such as brain injury, infectious diseases, and metabolic disorders in animals, alongside his technical skills in utilizing cutting-edge methodologies like metabolomics.However, there are opportunities to enhance his visibility in the global research community, increase the citation rates of his work, and expand the practical applications of his research. With continued focus on collaboration, dissemination, and outreach, Dr. Uztimür is well-positioned to make even greater contributions to the scientific community and to qualify for the Best Researcher Award in the future.

Shubhajyoti Das | Artificial Intelligence | Best Researcher Award

Mr Shubhajyoti Das | Artificial Intelligence | Best Researcher Award

Research Scholar, Indian Institute of Engineering Science and Technology, Shibpur,India

Shubhayjoti Das is an aspiring researcher and developer with a keen interest in the fields of Machine Learning, Deep Learning, and Blockchain Technology. He is currently pursuing his Ph.D. in Information Technology at the Indian Institute of Engineering Science and Technology (IIEST), Shibpur. With a strong academic foundation and a passion for solving complex problems, he has built a diverse skill set, including proficiency in Python, Java, C++, and Solidity. Shubhayjoti has contributed to several impactful research projects related to agriculture, healthcare, and supply chain management. His work focuses on applying advanced technologies to solve real-world challenges, such as agricultural disease monitoring, heart attack analysis, and breast cancer detection. As a recipient of the Young Researcher Award 2024, Shubhayjoti continues to push the boundaries of innovation in his field while seeking opportunities to collaborate with industry and academic leaders worldwide.

Profile

Strengths for the Award

  1. Interdisciplinary Expertise:
    • Shubhayjoti’s research spans across Machine Learning, Deep Learning, Blockchain, and SAP. His experience with AI in agriculture (agricultural disease monitoring) and healthcare applications (heart attack and breast cancer analysis) showcases his ability to apply cutting-edge technologies to solve real-world problems.
    • His knowledge in blockchain technology (e.g., in supply chain management and meat traceability) aligns with global research trends, marking his contributions as highly relevant and forward-thinking.
  2. Diverse and Impactful Projects:
    • Shubhayjoti has been involved in a variety of projects that tackle important societal issues. For example, his agricultural disease monitoring and biometric identification research contribute significantly to sectors like agriculture and animal husbandry, both of which are crucial for food security and sustainability.
    • His work on meat traceability using blockchain is not only innovative but also directly applicable to real-world supply chain management, making it highly relevant in the context of food safety and transparency.
  3. Strong Academic Foundation:
    • Shubhayjoti is currently pursuing a Ph.D. in Information Technology at the Indian Institute of Engineering Science and Technology (IIEST), Shibpur, indicating his commitment to advancing in research and knowledge. His ongoing Ph.D. work complements his existing academic achievements and reinforces his potential for groundbreaking research.
    • He has received Institute Scholarships for Ph.D. and has cleared GATE 2018 and UGC-NET 2020, which showcase his academic rigor and aptitude for high-level research.
  4. Publications in High-Impact Journals:
    • Shubhayjoti’s published research in journals like IEEE Geoscience and Remote Sensing Letters and Applied Biological Research demonstrates his ability to produce high-quality academic work. His involvement in impactful papers related to deep learning, remote sensing, and biometrics reflects his growing influence in these fields.
    • Specific papers like “Deep Learning Analysis of Rice Blast Disease” and “Image-Based Potato Phoma Blight Severity Analysis” are highly relevant in the domain of agriculture, showing his contribution to enhancing precision agriculture through AI and machine learning.
  5. Awards and Recognition:
    • The Young Researcher Award (2024) by InSc (Institute of Scholars) is a significant achievement, affirming Shubhayjoti’s potential in the research community.
    • Membership in prestigious organizations like IEEE (Geoscience and Remote Sensing Society, Young Professionals) and InSc further elevates his profile and provides him with networking and collaboration opportunities to further his research.
  6. Strong Technical Skills:
    • Shubhayjoti is proficient in several programming languages such as Python, Core Java, C++, and Solidity, all of which are critical for modern research in fields like AI, blockchain, and software development.
    • His expertise in data structures, algorithms, and deep learning demonstrates a solid foundation for conducting research that involves complex problem-solving.

Areas for Improvement

  1. Increasing Citation Impact:
    • While Shubhayjoti has multiple publications, he should focus on enhancing the citation impact of his research. Publishing in more high-impact journals and collaborating with well-established researchers can help increase the visibility and relevance of his work in the global research community.
  2. Broader Industry Collaboration:
    • Although Shubhayjoti’s research is strong academically, expanding the reach of his work through industry partnerships could further enhance its practical applications. Industry collaborations, especially in sectors like healthcare, agriculture, and blockchain, could accelerate the development and implementation of his research.
  3. Engagement in Collaborative Research:
    • To further strengthen his research, collaborating with international researchers or industry experts could open new perspectives and elevate the quality of his work. This will also improve his visibility within the global academic and research community.
  4. Broader Publication Frequency:
    • While Shubhayjoti has a solid publication record, increasing the frequency and diversity of his publications (including papers in conference proceedings, book chapters, and special issues) could help establish him as a leading researcher in his field.

Education

Shubhayjoti Das is currently pursuing his Ph.D. in Information Technology at the Indian Institute of Engineering Science and Technology (IIEST), Shibpur (enrolled in 2021, registered in 2022). Prior to this, he completed his M.Tech in Information Technology from Kalyani Government Engineering College, under Maulana Abul Kalam Azad University of Technology, in 2020, with an impressive CGPA of 8.26. He holds a B.Tech in Computer Science from Gurukula Kangri University, Haridwar (2017), with a percentage of 61.37. His academic journey has been marked by consistent excellence in core subjects such as Data Structures, Algorithms, Operating Systems, and Machine Learning, laying a solid foundation for his research. He has also participated in several specialized training programs, including SAP ABAP and Core Java, further enhancing his technical expertise. Shubhayjoti’s educational background, combined with his practical research experience, enables him to make meaningful contributions to the field of computer science.

Experience 

Shubhayjoti Das has gained valuable experience as a Project Staff in the research project titled “Image-Based Technology for Early Warning of Two Major Foliar Diseases of Cucurbits in West Bengal,” funded by DST-SERB, Government of India. This six-month project, conducted at Kalyani Government Engineering College, enabled him to apply his machine learning and image processing skills to a real-world agricultural challenge. During his academic career, he also worked on various machine learning and blockchain related projects, such as breast cancer detection, agricultural disease monitoring, and meat traceability software. Additionally, Shubhayjoti participated in a summer internship at HP India, where he worked on developing an ATM Emulator and a Jumble Word Game, further strengthening his programming and problem-solving skills. His industry training and academic research experience have equipped him with a deep understanding of modern technologies and their applications in solving societal problems.

Awards and Honors 

Shubhayjoti Das has been recognized for his academic excellence and contributions to research. In 2024, he was awarded the Young Researcher Award by the Institute of Scholars (InSc), a prestigious recognition for his innovative work in machine learning and blockchain technologies. He cleared the highly competitive GATE 2018 exam, which is a testament to his strong technical foundation. Additionally, he qualified the UGC-NET 2020 examination, further solidifying his academic credentials. Shubhayjoti was also awarded an Institute Scholarship to pursue his Ph.D. at IIEST Shibpur in 2021, enabling him to continue his research journey in information technology. His achievements reflect his consistent performance and passion for advancing knowledge in the field. Shubhayjoti’s ability to merge theoretical learning with practical application has earned him recognition and provides him with the opportunity to contribute significantly to the global research community.

Research Focus 

Shubhayjoti Das’s research primarily revolves around the application of machine learning, deep learning, and blockchain technology to address real-world challenges. His work focuses on the intersection of AI and agriculture, where he has been involved in projects like agricultural disease monitoring using artificial intelligence and image processing techniques. He has also worked on healthcare-related research, including breast cancer analysis and heart attack prediction using machine learning algorithms. Another key area of Shubhayjoti’s research is blockchain technology, specifically its application in supply chain management. His project on meat traceability using blockchain highlights his ability to apply modern technologies for transparency and security in food systems. Additionally, Shubhayjoti is exploring deep learning techniques for remote sensing and biometric identification systems, working on innovative projects like iris pattern matching and pig identification. His interdisciplinary research is making impactful contributions to various sectors.

Publications

  • Dynamic attention aggregated missing spatial-temporal data imputation for traffic speed prediction 🛣️📊
  • IGDM: Image-Based Grading System of Downy Mildew in Cucumber Using Digital Image Processing and Unsupervised Learning 🥒📸
  • Attentive graph structure learning embedded in deep spatial-temporal graph neural network for traffic forecasting 🚗📈
  • AEIN-An Intelligent Computational Technique for Biometric Based Individual Yorkshire Pig Identification Using Auricular Vein 🐖👁️
  • Biometric identification of Black Bengal goat: unique iris pattern matching system vs deep learning approach 🐐🔍
  • Image-Based Potato Phoma Blight Severity Analysis Through Deep Learning 🥔💻
  • EAR IMAGE-BASED INDIVIDUAL PIG IDENTIFICATION BY USING STATISTICAL PARAMETERS 🐷📷
  • Deep Learning Analysis of Rice Blast Disease Using Remote Sensing Images 🌾📡
  • Image Based High throughput Phenotyping for Fusarium Wilt Resistance in Pigeon Pea 🌱🔬
  • Individual Identification of Black Pig through Ear Images using Support Vector Machine 🐖💻

Conclusion

Shubhayjoti Das is a highly talented and promising researcher with a strong academic background, significant technical skills, and a growing body of impactful research. His contributions to the fields of machine learning, blockchain, and AI for agriculture and healthcare are commendable, with his research addressing critical real-world challenges. The recognition through the Young Researcher Award is well-deserved, and his active involvement in high-quality projects and publications indicates a bright future ahead.Although there is room for growth in citation impact and collaborative research, his academic foundation, technical proficiency, and innovative approach to solving practical problems make him an excellent candidate for the Best Researcher Award. His ongoing work, especially in the areas of deep learning, biometrics, and blockchain, positions him for continued success and recognition in the research community.

Ammar Odeh | CyberSecurity | Best Researcher Award

Assoc. Prof. Dr. Ammar Odeh | CyberSecurity | Best Researcher Award

Director of the Training and Consultation Center, Princess Sumaya University for Technology, Jordan

Dr. Ammar M. Odeh is an Associate Professor of Cybersecurity at Princess Sumaya University for Technology (PSUT), Jordan, with extensive experience in teaching, research, and technology development. Specializing in Cybersecurity, AI, and Blockchain, he has contributed significantly to the academic and industrial landscapes. Dr. Odeh earned his Ph.D. in Computer Science and Engineering from the University of Bridgeport, USA, in 2015, receiving the Phi Kappa Phi Award for academic excellence. He is passionate about advancing technological innovation and has been instrumental in designing student training programs, particularly in Cybersecurity. With a career spanning multiple countries, he has worked at universities in Jordan, Oman, Saudi Arabia, and the USA. His research spans Unicode Steganography, Wireless Networks, and Data Security. Dr. Odeh has also collaborated with industry giants such as Huawei and Orange, contributing to the development of advanced cybersecurity systems.

Profile

Google Scholar

Strengths for the Award

  1. Academic Excellence:
    • Dr. Odeh holds a Ph.D. in Computer Science and Engineering (specializing in Cybersecurity), awarded from the University of Bridgeport, USA, in 2015.
    • He has been recognized with multiple prestigious awards, such as the Phi Kappa Phi Award (2015) for academic excellence.
  2. Research Contributions:
    • Dr. Odeh has a strong research portfolio, with significant contributions to topics like steganography, machine learning, blockchain, AI, and cybersecurity. His research work, published in reputable journals and conferences, includes over 15 cited papers and is highly interdisciplinary.
    • Notable contributions include studies on phishing detection, electronic health record security, blockchain in healthcare, and malware detection.
    • He has been cited by multiple research papers and has contributed to advancing the application of technology in the cybersecurity, healthcare, and education sectors.
  3. Teaching and Training:
    • As an Associate Professor, Dr. Odeh’s teaching interests span Programming Languages, Data Communications, Operating Systems, and Cybersecurity, indicating a broad and deep technical skill set.
    • He has also contributed significantly to curriculum design and student training, particularly in Cybersecurity and AI. His role in training and liaising with industry giants like Orange and Huawei speaks to his practical influence in the tech space.
  4. Industry Engagement:
    • His active collaboration with industry players (such as Orange and Huawei) and his leadership of the training committee underscore his ability to bridge academic and practical applications, facilitating a strong link between the university and the tech industry.
    • His expertise in blockchain and AI in real-world contexts, such as healthcare, further illustrates his ability to contribute to and shape industry innovations.
  5. Leadership in Academia:
    • Dr. Odeh has led and participated in multiple academic committees at Princess Sumaya University for Technology (PSUT), including roles in graduation project committees and quality assurance committees. This shows his involvement in shaping the academic landscape and improving institutional practices.
  6. Impact on Research Community:
    • His work in human-computer interaction, steganography, and network security has not only resulted in technical advancements but has also been widely cited, indicating the impact of his research in the academic community.

Areas for Improvement

  1. Broader Collaborative Networks:
    • Although Dr. Odeh has demonstrated significant industry engagement, a broader range of international collaborations could further enhance his research profile. Engaging with top-tier research institutions globally and fostering collaborative international research projects might help him gain more visibility and influence in the global tech community.
  2. Increased Focus on Interdisciplinary Research:
    • While his research covers important aspects of cybersecurity, interdisciplinary approaches—incorporating more fields like social sciences or ethics in AI and cybersecurity—could further elevate his work. This would help address emerging global challenges like the ethical implications of AI, privacy concerns, and digital rights in an increasingly connected world.
  3. Grant and Funding Acquisition:
    • Dr. Odeh’s research portfolio is impressive, but a focus on obtaining large-scale research funding for interdisciplinary projects, especially in AI and cybersecurity, could amplify the impact of his work and provide more opportunities for cutting-edge projects with higher visibility.
  4. Broader Publication Outreach:
    • While his research is well-published, expanding the scope to higher-impact journals or collaborating with industry journals in areas like blockchain, IoT, and advanced AI security could increase the reach and recognition of his work in broader academic and professional circles.

Education 

Dr. Ammar M. Odeh’s academic journey began with a Bachelor’s degree in Computer Science from Hashemite University, Jordan (1999-2002). He then pursued a Master of Computer Science at the University of Jordan (2004-2006), where he honed his expertise in the field. In 2015, he completed his Ph.D. in Computer Science and Engineering at the University of Bridgeport in Connecticut, USA, with a focus on Cybersecurity. His doctoral research contributed to advancements in data security, wireless network protocols, and AI applications in cybersecurity. During his time at the University of Bridgeport, Dr. Odeh was awarded the prestigious Phi Kappa Phi Award for outstanding academic achievement. This academic foundation has enabled him to establish himself as a leading researcher and educator in Computer Science, particularly in the areas of AI, Blockchain, and Cybersecurity.

Experience 

Dr. Ammar M. Odeh has a diverse teaching and research background, with over 15 years of experience across multiple institutions. He currently serves as an Associate Professor in the Department of Computer Science at Princess Sumaya University for Technology (PSUT), Jordan, where he has been since 2019. Prior to his current role, he was an Assistant Professor at PSUT and University of AlMaarefa, Saudi Arabia (2015-2019), where he taught courses on Computer Security, Data Communications, and Programming Languages. Dr. Odeh’s early career included teaching roles at Sur College of Applied Science in Oman (2009-2011) and Philadelphia University in Jordan (2006-2009). He also worked as a Graduate Assistant/Research Assistant at the University of Bridgeport, USA, where he supported cybersecurity research and developed tools for data analysis and project evaluation. His wide-ranging experience in academia has made him a respected leader in his field.

Awards and Honors 

Dr. Ammar M. Odeh has received multiple awards and honors throughout his academic and professional career. Notably, he was awarded the prestigious Phi Kappa Phi Award in 2015 for outstanding academic performance at the University of Bridgeport. Dr. Odeh also received a Full Graduate Scholarship from the Computer Science Department at the University of Bridgeport (2012-2015). His work has been recognized with various other accolades, including the UPE Award in 2014. He is an active member of several professional societies, such as the IEEE Communications Society, IEEE Computer Society, ACM, and UPE. These memberships not only validate his expertise in Computer Science but also keep him connected to the latest developments in technology. Dr. Odeh’s ability to bridge academia and industry is reflected in his collaborations with major tech companies like Huawei and Orange, making him a leader in Cybersecurity and Blockchain research.

Research Focus 

Dr. Ammar M. Odeh’s research interests span a broad range of topics in Cybersecurity, AI, and Blockchain Technology. His primary focus includes Unicode Steganography, where he develops techniques for secure communication through hidden text in digital formats. He also explores Wireless Network Security, aiming to enhance data translation security across networks. Additionally, Dr. Odeh is dedicated to Human-Computer Interaction, improving the user experience through innovative security measures. He has contributed to research on the security and privacy of electronic health records, leveraging his expertise in AI and Machine Learning for more effective solutions in healthcare. Dr. Odeh has published several papers on the detection of phishing websites and malware, and his work on blockchain applications in the healthcare sector has garnered significant attention. His interdisciplinary approach to Cybersecurity and AI positions him as a prominent researcher in these rapidly evolving fields.

Publications 

  • Security and privacy of electronic health records: Concerns and challenges 🏥🔒
  • Machine learning techniques for detection of website phishing: A review for promises and challenges 🖥️🔍
  • Analysis of blockchain in the healthcare sector: Application and issues ⛓️💡
  • Performance evaluation of AODV and DSR routing protocols in MANET networks 🌐📶
  • Steganography by multipoint Arabic letters 🅰️🔤
  • PDF malware detection based on optimizable decision trees 📄⚙️
  • Detection in adverse weather conditions for autonomous vehicles via deep learning 🚗🌧️
  • Efficient detection of phishing websites using multilayer perceptron 🌐🛡️
  • Analysis of ping of death DoS and DDoS attacks 💻💥
  • Steganography in Arabic text using Kashida variation algorithm (KVA) 🇸🇦🔐
  • Quantum key distribution by using public key algorithm (RSA) 🔑📡
  • PHIBOOST – A novel phishing detection model using Adaptive boosting approach 📧⚡
  • Steganography in text by using MS Word symbols 📝🔑
  • A lightweight double-stage scheme to identify malicious DNS over HTTPS traffic using a hybrid learning approach 🌐🛡️
  • Security and privacy of electronic health records: Concerns and challenges 🏥🔐
  • Novel steganography over HTML code 🌍🔒
  • Ensemble-Based Deep Learning Models for Enhancing IoT Intrusion Detection 🤖📡
  • Efficient Mobile Sink Routing in Wireless Sensor Networks Using Bipartite Graphs 📡🌱
  • Impact of COVID-19 pandemic on education: Moving towards e-learning paradigm 💻📚

Conclusion

Dr. Ammar M. Odeh stands out as a leading researcher in his fields of specialization, particularly Cybersecurity, AI, and Blockchain. His impressive academic record, substantial research contributions, leadership in teaching and training, and active industry engagement make him a highly deserving candidate for the Best Researcher Award.While there are areas for growth in expanding his collaborative network and pursuing interdisciplinary research, his achievements to date reflect a dedication to advancing technology and education. Dr. Odeh’s work not only contributes to the academic community but also positively impacts industries such as healthcare, cybersecurity, and education.Given his strong credentials, extensive research output, and leadership in both academia and industry, Dr. Ammar Odeh is highly suitable for the Researcher of the Year Award.