Eduardo Coronel | Computer Science | Best Researcher Award

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Dr. Eduardo Coronel | Computer Science | Best Researcher Award

M.Sc. Eng. at Facultad Politécnica,  Paraguay

Eduardo Damián Coronel Torales, born on March 5, 1991, in Asunción, Paraguay, is a distinguished researcher and engineer specializing in electrical engineering, automation, and artificial intelligence applications. He has actively contributed to academia, industry, and international conferences, earning recognition for his innovative work in energy distribution and automation systems. His professional journey has taken him from academic research to practical implementations in one of the world’s largest hydroelectric plants, Itaipu Binacional. With a strong foundation in engineering and computational intelligence, Coronel Torales has made significant contributions to optimizing power distribution and developing automation solutions. His research extends beyond Paraguay, reaching international platforms and collaborations. He continues to push the boundaries of technology by integrating advanced optimization techniques, machine learning, and smart grid systems, positioning himself as a leader in his field.

Professional Profile

Education

Coronel Torales holds a Master’s degree in Electrical Engineering with an emphasis on Energy Systems Planning from the Facultad Politécnica of the Universidad Nacional del Este, obtained in 2021. His postgraduate research focused on optimizing power distribution using computational intelligence. He completed his undergraduate degree in Electronics Engineering with a specialization in Mechatronics at the Universidad Nacional de Asunción in 2017. During his academic career, he demonstrated exceptional analytical and problem-solving skills, engaging in multiple research projects related to automation, robotics, and energy systems. His academic journey reflects a strong commitment to technological advancements and interdisciplinary research. The combination of these degrees has provided him with a robust foundation in both theoretical and practical aspects of energy optimization, artificial intelligence, and industrial automation, equipping him with the expertise to tackle complex engineering challenges at both research and industrial levels.

Professional Experience

With extensive experience in academia and industry, Coronel Torales has worked as a research engineer at Itaipu Binacional, contributing to the modernization of automation systems. His expertise in failure analysis using PI tools and machine learning models has been instrumental in enhancing the reliability of large-scale energy infrastructure. He has also served as a postgraduate lecturer at the Universidad Nacional del Este, teaching heuristic optimization methods. Additionally, he has worked as an instructor at the Paraguay-Korea Advanced Technology Center (SNPP-KOICA), where he trained professionals in digital electronics and industrial automation. His work experience blends research, teaching, and industry applications, allowing him to bridge the gap between theory and practice. Through his diverse roles, he has been actively involved in developing intelligent systems, optimizing automation processes, and mentoring students and professionals in engineering disciplines.

Research Interests

Coronel Torales’ research interests lie at the intersection of power systems optimization, automation, and artificial intelligence. He has extensively explored the use of metaheuristic and multi-objective optimization techniques for enhancing the efficiency of electrical power distribution systems. His research also focuses on computer vision, machine learning, and control systems, particularly for applications in autonomous vehicles, industrial automation, and smart grids. Additionally, he is interested in the integration of AI-driven fault detection and predictive maintenance in large-scale energy infrastructures. His work contributes to improving the reliability and efficiency of energy management systems through data-driven solutions. By combining engineering principles with computational intelligence, he aims to develop sustainable and intelligent solutions for modern energy challenges. His forward-thinking research aligns with global trends in smart energy systems, IoT-enabled automation, and digital transformation in power distribution networks.

Awards and Honors

Coronel Torales has received international recognition for his research contributions, including multiple conference presentations at IEEE and other prestigious platforms. His work on remote-controlled switch optimization in power distribution systems has been published in IEEE Latin America Transactions and presented at international computing and engineering conferences such as CLEI, ICDIM, and INTERCON. He has been acknowledged for his contributions to automation failure analysis at Itaipu Binacional, influencing modernization decisions in one of the world’s largest hydroelectric plants. Additionally, his early research in autonomous vehicle navigation and fuzzy logic control earned him invitations to research symposiums in Argentina, Peru, South Korea, and the United States. His ability to translate research into practical applications has cemented his reputation as an emerging leader in electrical engineering and computational intelligence. His continued contributions are setting a benchmark for innovation in energy systems and industrial automation.

Conclusion

Eduardo Damián Coronel Torales has a strong research background with impactful contributions in energy systems optimization, automation, and AI applications. His publications, international recognition, and industry collaboration make him a strong candidate for the Best Researcher Award. However, to further strengthen his candidacy, he should aim for higher-impact journal publications, more independent research leadership, and broader contributions in emerging fields.

Publications Top Noted

  • Coronel, E., Barán, B., & Gardel, P. (2025). A Survey on Data Mining for Data-Driven Industrial Assets Maintenance Technologies. Journal article. DOI: 10.3390/technologies13020067.
  • Coronel Torales, E. D. (2024). Leveraging Machine Learning for Multi-Step Failure Forecasting in RTU Analog Modules and Estimating Key Performance Indicators to Support Management Decision-Making. CIGRE Paris Session 2024, Conference poster.
  • Coronel, E., Barán, B., & Gardel, P. (2022). Optimal Placement of Remote Controlled Switches in Electric Power Distribution Systems with a Meta-heuristic Approach. IEEE Latin America Transactions. DOI: 10.1109/TLA.2022.9675464.
  • Coronel Torales, E. D. (2021). Optimal Placement of Remote Controlled Switches in Electric Power Distribution Systems with a Multi-Objective Approach. 2021 XLVII Latin American Computing Conference (CLEI). DOI: 10.1109/clei53233.2021.9639970.
  • Coronel Torales, E. D. (2020). Optimización en la Ubicación de Seccionadores Tele-comandados en Sistemas de Distribución de Energía Eléctrica con enfoque meta-heurístico y soporte de decisión multi-criterio. Edited book. DOI: 10.13140/RG.2.2.32305.92002.
  • Coronel Torales, E. D. (2017). Estimación de disponibilidad de energía eléctrica de la Central Hidroeléctrica Itaipú y del crecimiento de la energía cedida al Paraguay hasta el 2023. Facultad Politécnica – Universidad Nacional del Este. DOI: 10.13140/RG.2.2.11838.79685.
  • Coronel Torales, E. D. (2015). Reliable navigation-path extraction system for an autonomous mobile vehicle. 2015 Tenth International Conference on Digital Information Management (ICDIM). DOI: 10.1109/icdim.2015.7381882.
  • Coronel Torales, E. D. (2015). PROTOTIPO DE VEHÍCULO AUTÓNOMO CON RNA Y VISIÓN POR COMPUTADORA. Simposio Argentino de Sistema Embebidos (SASE), Conference poster.
  • Coronel Torales, E. D. (2015). SISTEMA DE ALGORITMOS DE VISIÓN POR COMPUTADOR, APRENDIZAJE DE MÁQUINA, LOCALIZACIÓN Y NAVEGACIÓN DESARROLLADOS EN MATLAB, CON IMPLEMENTACIÓN EN VEHÍCULOS TERRESTRES PARA AUTO-CONDUCCIÓN. XXII Congreso Internacional de Ingeniería Eléctrica, Electrónica, Computación y Afines INTERCON 2015, Conference paper.
  • Coronel Torales, E. D. (2014). STABILITY COMMAND OF A TILT-ROTOR VEHICLE WITH A FUZZY LOGIC CONTROLLER. 3rd Conference of Computational Interdisciplinary Sciences – CCIS 2014, Conference poster. ISBN: 978-85-68888-00-1.
  • Coronel Torales, E. D. (2014). BALANCEADOR AERODINÁMICO CON LÓGICA DIFUSA. XXI Congreso Internacional de Ingeniería Electrónica, Eléctrica y Computación INTERCON 2014, Conference poster.

 

 

Raoudha Ben Djemaa | Computer science | Best Scholar Award

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Prof. Raoudha Ben Djemaa | Computer science | Best Scholar Award

ISITCOM, university of sousse, Tunisia

Raoudha Ben Djemaa, born on March 6, 1976, in Sfax, Tunisia, is a prominent computer science educator and researcher. She is currently a Maître de Conférences (Associate Professor) at the Department of Networks and Multimedia, ISITCOM, University of Sousse, Tunisia. She has extensive experience in computer science education and research, particularly in the areas of web service adaptation, cloud computing, and context-aware systems. Throughout her career, she has also been dedicated to guiding students at various academic levels and contributing to international conferences and journals. 📚💻

Profile

Google Scholar

Education

Raoudha Ben Djemaa’s educational journey began with her Baccalaureate in Experimental Sciences from Lycée secondaire 15 novembre 1959, Sfax, Tunisia, in 1994. She completed her Maîtrise in Computer Science from the Faculty of Economic Sciences and Management of Sfax in 1998 with honors. She later obtained a Master’s degree in Information Systems and New Technologies in 2004 (with distinction, major of her class). She earned her PhD in Computer Science in 2009, with the highest distinction, under the supervision of Prof. Abdelmajid Ben Hamadou. In 2019, she completed her Habilitation Universitaire in Computer Science at the same faculty. 🎓

Experience

Raoudha has held various teaching positions over the years. She has been a Maître de Conférences at ISITCOM since 2020, where she has contributed to the development of curricula in the areas of distributed systems and web programming. Previously, she served as a Maître Assistante (Assistant Professor) and an assistant in several Tunisian institutions. Her earlier career includes teaching secondary school mathematics and computer science. She has also supervised numerous PhD and master’s students, demonstrating her leadership in academic mentorship. 👩‍🏫

Research Interests

Raoudha’s primary research interests include context-sensitive systems, adaptation in web applications, cloud computing, and pervasive computing. She is particularly focused on enhancing web services through semantic similarity measures and self-adaptation techniques for distributed systems. Her work often integrates cloud technologies and the Internet of Things (IoT), with an emphasis on the development of efficient middleware solutions for self-adaptive systems. Her research aims to create smarter, more responsive computing environments. 🌐🔍

Awards

Raoudha has been recognized for her outstanding contributions to computer science education and research. Notably, she has received the distinction of leading several successful doctoral and master’s research projects. Her research on cloud service discovery and self-adaptation in web services has been published in high-impact journals and has garnered international attention. 🏆

Publications Top Notes

Raoudha Ben Djemaa has published several significant articles in prominent journals. Some of her notable publications include:

Finding Internet of Things Resources: A State-of-the-Art Study, Data & Knowledge Engineering, 2022, DOI: 10.1016/j.datak.2022.102025.

Description, Discovery, and Recommendation of Cloud Services: A Survey, Service Oriented Computing and Applications, 2022.

Cloud Services Description Ontology Used for Service Selection, Service Oriented Computing and Applications, 2022.

A Survey of Middlewares for Self-Adaptation and Context-Aware in Cloud of Things Environment, Procedia Computer Science, 2022, DOI: 10.1016/j.procs.2022.09.338.

Enhanced Semantic Similarity Measure Based on Two-Level Retrieval Model, Journal of Concurrency and Computation: Practice and Experience, 2019.

Reflective Approach to Improve Self-Adaptation of Web Service Compositions, International Journal of Pervasive Computing and Communication, 2019.

Efficient Cloud Service Discovery Approach Based on LDA Topic Modeling, Journal of Systems and Software, 2018.

Christos Roumeliotis | Computer Science | Young Scientist Award

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Mr. Christos Roumeliotis | Computer Science | Young Scientist Award

Electrical & Computer Engineering University of Western Macedonia Greece

Christos Roumeliotis is an accomplished Electrical and Computer Engineer specializing in Biomedical Technology, Healthcare, and Blockchain applications in energy. With a keen entrepreneurial spirit, he has been recognized in Forbes 30 Under 30 Greece and is an active member of the IEEE. As a young leader, he has held notable positions in the IEEE Student Branch and worked in various technology-driven roles.

Profile

Orcid.org

🎓 Education:

Christos completed his integrated MSc in Electrical and Computer Engineering from the University of Western Macedonia (UoWM). His academic journey has been complemented by a Reciprocal Scholarship and active participation in IEEE initiatives.

💼 Experience:

Christos serves as a Business Development Partner at Because Group, focusing on innovative marketing solutions. He co-founded Innovation Bee, where he leads as CEO, providing strategic AI-driven solutions across industries. He also co-founded Gridustry, a blockchain-based energy certification and trading company, aiming to optimize green energy market systems.

🔬 Research Interests:

Christos’s research spans Biomedical Technology for health solutions, Blockchain in energy, and smart contracts. His projects include blockchain-based Peer-to-Peer Energy Trading, green certificates, and a non-invasive wearable for Multiple Sclerosis monitoring.

🏆 Awards:

  • IEEE CS 20 in their 20s List (2023): Recognized among emerging leaders in Computer Science and Engineering.
  • Forbes 30 Under 30 Greece (2023): Featured among Greece’s dynamic young professionals.
  • Green Cities Competition (2022): Won 2nd place for innovative solutions in sustainable city development.

📄 Publications Top Notes:

“A Comprehensive Survey of Blockchain in IoT,” 2024. Intelligent Computing on IoT 2.0, Taylor & Francis. Co-authored with Konstantina Banti and others, this survey highlights IoT innovations and blockchain applications across industries.

“Blockchain and Digital Twins in Smart Industry 4.0,” 2024. Designs, DOI. This review discusses blockchain-integrated digital twins, analyzing Industry 4.0 applications and benefits.

Yanming Zhao | Computer Science | Best Researcher Award

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Prof. Yanming Zhao | Computer Science | Best Researcher Award

Professor at Hebei MINZU Normal University, China

Yanming Zhao is a distinguished Professor at Hebei University of Nationalities, specializing in visual computing and deep neural networks. With a commitment to advancing technology and innovation, he has made significant contributions to the field of computer application technology, evidenced by his extensive research and numerous publications. 🌟

Profile 

Scopus Profile

Education🎓

Yanming graduated with a Master’s degree in Computer Application Technology from the School of Information at Shenyang University of Technology in 2010. His academic background laid a solid foundation for his future research endeavors and leadership in academia.

Experience🏛️💼

As a Master’s Supervisor and experienced researcher, Professor Zhao has participated in over nine provincial-level research projects and has consulted on over 500 industry projects. His work not only showcases his expertise but also his dedication to bridging the gap between academia and industry.

Research Interests🔬📈

Professor Zhao’s research primarily focuses on visual computing and deep neural networks. He has developed innovative algorithms, including the visual selectivity-based 3D graph convolutional algorithm (VS-3DGCN), aimed at enhancing point cloud segmentation performance and addressing key challenges in 3D graph convolutional algorithms.

Awards 🏆

Throughout his career, Yanming has received numerous accolades, including the title of Excellent Scientific and Technological Worker in Hebei Province and Outstanding Expert Managed by Chengde City. These awards reflect his significant contributions to the scientific community and his leadership in research.

Publications

Professor Zhao has published more than 30 academic papers in esteemed journals, such as:

  • Multi-channel depth segmentation network based on 3D graph convolution algorithm and its application in point cloud segmentation
    • Authors: Zhao, Y.
    • Journal: Alexandria Engineering Journal
    • Year: 2024
    • Citations: 0
  • The Multi-View Deep Visual Adaptive Graph Convolution Network and Its Application in Point Cloud
    • Authors: Fan, H., Zhao, Y., Su, G., Zhao, T., Jin, S.
    • Journal: Traitement du Signal
    • Year: 2023
    • Citations: 4
  • Graph Convolution Algorithm Based on Visual Selectivity and Point Cloud Analysis Application
    • Authors: Zhao, Y., Su, G., Yang, H., Jin, S., Yang, J.
    • Journal: Traitement du Signal
    • Year: 2022
    • Citations: 2
  • Slow Feature Extraction Algorithm Based on Visual Selection Consistency Continuity and Its Application
    • Authors: Yang, H., Zhao, Y., Su, G., Fan, H., Shang, Y.
    • Journal: Traitement du Signal
    • Year: 2021
    • Citations: 0
  • Design and application of a slow feature algorithm coupling visual selectivity and multiple long short-term memory networks
    • Authors: Zhao, Y., Yang, H., Su, G.
    • Journal: Traitement du Signal
    • Year: 2021
    • Citations: 1

These contributions have garnered a total citation index of 102 times, illustrating the impact of his work on the research community. 📚🔗

Conclusion🌍✨

In summary, Professor Yanming Zhao stands out as a leading figure in the fields of visual computing and deep learning. His extensive research, numerous publications, and accolades make him a deserving candidate for the Best Researcher Award. His ongoing commitment to innovation and excellence continues to inspire colleagues and students alike.

Miin-Shen Yang | Computer Science | Best Researcher Award

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Prof Dr. Miin-Shen Yang | Computer Science | Best Researcher Award

Distinguished Professor,Chung Yuan Christian University, Taiwan

👨‍🏫 Miin-Shen Yang is a distinguished scholar and professor specializing in applied mathematics and artificial intelligence. He has made significant contributions to fuzzy clustering, machine learning, and soft computing. Currently serving as a Life Distinguished Professor at Chung Yuan Christian University (CYCU), Taiwan, Dr. Yang is highly regarded in the scientific community for his innovative research. He is also recognized among the top 0.5% of scholars globally by ScholarGPS and Stanford University’s Top 2% Scientists.

Publication Profile

ORCID

Strengths for the Award:

  1. Extensive Academic Background: Miin-Shen Yang has earned degrees in mathematics and statistics from prestigious institutions, with a Ph.D. from the University of South Carolina, USA. His long-standing association with Chung Yuan Christian University (CYCU), Taiwan, adds to his academic credibility.
  2. Research Impact: His research areas—statistics, clustering algorithms, fuzzy clustering, soft computing, pattern recognition, and machine learning—are crucial in modern scientific and technological advancements, especially in the AI-driven era.
  3. Global Recognition: Miin-Shen Yang’s inclusion in Stanford University’s Top 2% Scientists and ScholarGPS’s global top 0.5% demonstrates the international recognition of his work and significant contributions to artificial intelligence, image processing, and related fields.
  4. Editorial Roles: He served as an Associate Editor for IEEE Transactions on Fuzzy Systems and remains on the Editorial Board of Electronics (MDPI). These roles show his influence in shaping scientific discourse in his fields of expertise.
  5. Leadership in Academia: As a Distinguished Professor and previous Chairperson and Dean of the College of Science at CYCU, he has demonstrated not only research expertise but also leadership in academic governance.

Areas for Improvement:

  1. Broader Collaborations: While Miin-Shen Yang’s contributions are notable in the fields of applied mathematics and artificial intelligence, there could be a stronger emphasis on collaborative projects across interdisciplinary fields such as biostatistics or environmental data science, which are becoming increasingly critical for global research challenges.
  2. Applied Research and Industry Connections: Strengthening connections between his academic research and real-world industrial applications could further enhance the societal impact of his work, especially in sectors like healthcare, energy, or environmental sustainability where AI and machine learning are emerging as transformative tools.
  3. Public Engagement and Outreach: Additional efforts to disseminate his research through public engagement activities, workshops, or conferences that target both academic and non-academic audiences could raise the visibility and practical applicability of his findings.

Education

🎓 Miin-Shen Yang holds a B.S. in Mathematics from Chung Yuan Christian University (1977), an M.S. in Applied Mathematics from National Chiao-Tung University (1980), and a Ph.D. in Statistics from the University of South Carolina, Columbia, USA (1989).

Experience

💼 Dr. Yang joined CYCU in 1989 and became a Professor in 1994. He has held several key positions, including Department Chair, Director of the Chaplain’s Office, and Dean of the College of Science. He also served as a Visiting Professor at the University of Washington from 1997 to 1998.

Research Focus

🔬 Dr. Yang’s research interests span applications of statistics, fuzzy clustering, machine learning, soft computing, pattern recognition, and artificial intelligence. His contributions have significantly advanced clustering algorithms and AI-related technologies.

Awards and Honors

🏅 Dr. Yang has been recognized among Stanford University’s Top 2% Scientists and listed among ScholarGPS global top 0.5% scholars. He has also served as an Associate Editor for IEEE Transactions on Fuzzy Systems and is currently an Editorial Board Member for the journal Electronics.

Publications (Top Notes)

📚 Dr. Yang has published extensively on fuzzy clustering and artificial intelligence in leading journals. His works have been widely cited, marking his influence in the field.

“Fuzzy Clustering Algorithms and Applications” – Published in 2015 in Pattern Recognition Letters. Cited by 100+ articles

Conclusion:

Miin-Shen Yang is an exceptional candidate for the Research for Best Research Award, with a strong and diversified research portfolio in applied mathematics, artificial intelligence, and machine learning. His global recognition, academic leadership, and editorial contributions demonstrate his significant impact on the scientific community. While further strengthening his research collaborations across broader disciplines and emphasizing real-world applications could enhance his overall impact, his current achievements make him a highly competitive and deserving nominee for the award.

GUNBAEK SO | CONTROL | Best Researcher Award

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GUNBAEK SO | CONTROL | Best Researcher Award

Professor, Mokpo National Maritime University, South Korea

Dr. Gunbaek So is a distinguished Assistant Professor at Mokpo National Maritime University in South Korea. Born on November 4, 1985, Dr. So has made significant contributions to the fields of control systems and marine engineering through his innovative research and numerous publications.

Profile

Scopus

Evaluation for the Best Researcher Award

Candidate: Prof. Dr. Gunbaek So

Affiliation: Mokpo National Maritime University, South Korea

Strengths for the Award:

  1. Consistent Research Output:
    • Prof. Dr. Gunbaek So has a solid record of consistent publication in reputable journals since 2018. His work is spread across various high-impact journals, indicating a steady contribution to the field of control systems and marine engineering.
  2. Diverse Research Focus:
    • His research spans several critical areas including fuzzy gain scheduling, PID controllers, regasification systems for LNG-fueled marine engines, and nonlinear control techniques. This diversity showcases his broad expertise and ability to tackle different problems within his field.
  3. Open Access Publications:
    • A significant number of his articles are published as open access, ensuring wider dissemination and accessibility of his research findings, which contributes to his visibility and impact within the academic community.
  4. Collaboration:
    • The collaborative nature of his research, often co-authored with other experts, reflects his ability to work well within a team and engage with the broader research community.
  5. Citation Record:
    • Despite some papers having low citation counts, a few have received notable attention, such as the 2018 article in the Korean Journal of Chemical Engineering with 22 citations. This indicates that certain aspects of his work have had a substantial impact on the field.

Areas for Improvement:

  1. Increase Citation Impact:
    • While some of his papers have garnered citations, increasing the impact of his more recent work would strengthen his candidacy. This could be achieved through enhanced visibility efforts, such as presenting at international conferences and engaging in more collaborative projects.
  2. Research Funding and Grants:
    • Securing additional research funding and grants could enhance his research capabilities and output. This would not only provide more resources for conducting advanced research but also increase the prestige associated with his work.
  3. Engagement in Professional Organizations:
    • Greater involvement in professional organizations and committees related to his field could further establish him as a leader and contribute to his professional development. This might include roles such as conference organizer, journal editor, or society president.
  4. Public and Industry Engagement:
    • Engaging more with industry stakeholders and the public can translate his research into practical applications, thus increasing its societal impact. This could involve consultancy, applied research projects, or public lectures.

Education

Dr. Gunbaek So holds advanced degrees in engineering, specializing in control systems and marine engineering. His academic journey has equipped him with a deep understanding of PID controllers and their applications in various industrial processes.

Experience

Dr. So has been an Assistant Professor at Mokpo National Maritime University since September 2021. He has held this position through multiple terms, from September 01, 2021, to February 28, 2022, from March 01, 2022, to November 15, 2023, and from November 16, 2023, to the present.

Awards

Dr. Gunbaek So has been recognized for his innovative contributions to control systems and engineering, reflected in his high citation counts and impactful publications.

Publications Top Notes

Dr. So has authored numerous high-impact research articles published in esteemed journals. Here are some of his significant publications along with their citations:

  1. Fuzzy Gain Scheduling of the Fractional-Order PID Controller for a Continuous Stirred-Tank Reactor Process
    Wase, M.G., Gebrekirstos, R.F., Jin, G.-G., & So, G.-B. (2023). Processes, 11(12), 3275.
    Read the article
    Cited by: 0
  2. DS-Based 2-DOF PID Controller of a Regasification System for LNG-Fueled Marine Engine
    So, G.-B. (2022). Journal of Marine Science and Engineering, 10(5), 606.
    Read the article
  3. Design of Linear PID Controller for Pure Integrating Systems with Time Delay Using Direct Synthesis Method
    So, G.-B. (2022). Processes, 10(5), 831.
    Read the article
    Cited by: 6
  4. A Modified 2-DOF Control Framework and GA Based Intelligent Tuning of PID Controllers
    So, G. (2021). Processes, 9(3), 423.
    Read the article
    Cited by: 7
  5. Design of an Intelligent NPID Controller Based on Genetic Algorithm for Disturbance Rejection in Single Integrating Process with Time Delay
    So, G. (2021). Journal of Marine Science and Engineering, 9(1), 25.
    Read the article
    Cited by: 4
  6. EA-Based Design of a Nonlinear PID Controller Using an Error Scaling Technique
    So, G.-B. (2019). Studies in Informatics and Control, 28(3), 279-288.
    Read the article
    Cited by: 6
  7. Temperature Control of a Regasification System for LNG-fuelled Marine Engines Using Nonlinear Control Techniques
    So, G.-B., Yi, H.-S., Son, Y.-D., & Jin, G.-G. (2018). International Journal of Control, Automation and Systems, 16(6), 3047-3054.
    Read the article
    Cited by: 4
  8. Fuzzy-based Nonlinear PID Controller and Its Application to CSTR
    So, G.-B., & Jin, G.-G. (2018). Korean Journal of Chemical Engineering, 35(4), 819-825.
    Read the article
    Cited by: 22

Conclusion:

Prof. Dr. Gunbaek So demonstrates a strong profile for the Best Researcher Award, given his consistent research output, diverse focus areas, and collaborative nature. While there are areas for improvement, particularly in increasing the impact of his recent work and securing additional funding, his contributions to the fields of control systems and marine engineering are noteworthy. Enhancing his engagement with the broader academic and professional community will further bolster his candidacy and reflect his potential as a leading researcher in his domain.

 

 

 

 

MOHAMMAD SHAHADAT | Industrial Technology | Best Researcher Award

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Assoc Prof Dr. MOHAMMAD SHAHADAT | Industrial Technology | Best Researcher Award

Senior Lecturer, Universiti Sains Malaysia, Malaysia

Assoc Prof Dr. Mohammad Shahadat, an esteemed figure in Industrial Technology, has been honored with the Best Researcher Award for his outstanding contributions. Serving as a Senior Lecturer at Universiti Sains Malaysia, Malaysia, Dr. Shahadat embodies excellence in academia and research. His pioneering work in Industrial Technology has significantly advanced the field, demonstrating a remarkable dedication to innovation and knowledge dissemination. Through his leadership and expertise, Dr. Shahadat continues to inspire and guide students and peers alike. 🏆 His accolades underscore his commitment to excellence and his profound impact on shaping the future of industrial technology

Profile

Scopus

Educational Background 🎓

Dr. Mohammad Shahadat earned his Ph.D. in Chemistry from Aligarh Muslim University, India, in 2011. His research focused on the synthesis, characterization, and properties of new ion exchange materials, showcasing his expertise in analytical chemistry. Prior to his doctorate, he completed his Master of Science and Bachelor of Science with Honours at the same institution.

Experience and Skills 💼

Dr. Shahadat possesses extensive experience in the design and development of various materials for environmental applications, including wastewater treatment and biomass conversion. His skills range from modifying resins to producing bioflocculants and employing vermicomposting technology. His expertise also extends to the treatment of pollutants using microbial fuel cell technology.

Professional Experience 🔬

Dr. Shahadat served as a Senior Lecturer at the School of Chemical Sciences, Universiti Sains Malaysia, from February 2021 to January 2024. Prior to this, he completed post-doctoral fellowships at Indian Institute of Technology Delhi and Universiti Sains Malaysia. He also gained teaching experience as a Guest Lecturer at Aligarh Muslim University.

Research Interests 🧪

Dr. Shahadat’s research interests encompass the synthesis and application of nanomaterials for environmental remediation, including the development of graphene-based adsorbents and clay/polymer nanocomposites. His work contributes to the advancement of sustainable solutions for wastewater treatment and pollution control.

Awards and Recognitions 🏅

Dr. Shahadat has received prestigious fellowships, including the DST Fast Track Young Scientist Project and Junior Research Fellowship from the Department of Science & Technology, India. He is a life member of the Chemical Research Society of India and an affiliate member of the International Union of Pure and Applied Chemistry.

Publications Top Notes

“Synthesis, Characterization, and Breakthrough Modeling of Low-Cost Graphene Oxide-Sand Supported Adsorbent Filter for the Separation of Lead and Chromium Ions” – 2024

“Development of PEG-Coated Iron Oxide Nanoparticles for the Oxidation of Adrenaline” – 2024

“Recent Advances of Clay/Polymer-Based Nanomaterials for the Treatment of Environmental Contaminants in Wastewater: A Review” – 2024

“Harvesting of Atmospheric Water Using Polymer-Based Hybrid Hydrogels: A Review” – 2023

“Tannase Production Using Green Biotechnology and Its Applications: A Review” – 2023