Dr. Zeinab Shahbazi | Computer Science | Best Researcher Award

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Dr. Zeinab Shahbazi | Computer Science | Best Researcher Award

Senior Lecturer at Kristianstad University, Sweden

Dr. Zeinab Shahbazi is an accomplished researcher specializing in Reinforcement Learning, Deep Learning, Natural Language Processing, Blockchain, and Knowledge Discovery. With a Ph.D. in Computer Engineering from Jeju National University, South Korea, she has over eight years of research experience in AI and data-driven technologies. Dr. Shahbazi has held postdoctoral positions in Spain and Sweden and is currently a Senior Lecturer in AI at Kristianstad University. Her research focuses on enhancing state-of-the-art architectures and developing innovative solutions in software-based intelligent systems. She has been recognized with several academic awards, including a Presidential Award and Best Paper Presentation honors. Fluent in multiple languages and technically skilled in programming and data systems, she actively contributes as a reviewer for high-impact journals. Her international collaborations and funded research projects reflect her commitment to advancing AI applications. Dr. Shahbazi is a dedicated and forward-thinking researcher making significant contributions to the field of computer science.

Professional Profile 

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Education

Dr. Zeinab Shahbazi holds a Ph.D. in Computer Engineering from Jeju National University, South Korea, where she completed her dissertation on cryptocurrency price prediction using blockchain frameworks, graduating with an impressive CGPA of 4.32/4.5. She also earned a Master’s degree in Computer Engineering from Chonbuk National University, Korea, with a thesis on deep learning techniques for paragraph focus analysis. Her foundational education includes a Bachelor’s degree in Computer Engineering from Pooyesh University in Iran. Throughout her academic journey, she received several scholarships and honors, reflecting her consistent academic excellence. Her education has been firmly rooted in AI, software systems, and intelligent technologies, providing her with a robust theoretical and practical grounding. This strong academic background has played a pivotal role in shaping her as a multidisciplinary researcher with global exposure, capable of addressing complex problems in AI and data science with both depth and innovation.

Professional Experience

Dr. Zeinab Shahbazi has accumulated diverse international professional experience in research and academia. She is currently a Senior Lecturer in Artificial Intelligence at Kristianstad University, Sweden. Prior to this, she held postdoctoral researcher positions at Halmstad University in Sweden and at the BCN-AIM Lab at the University of Barcelona in Spain. Her work has consistently focused on applied AI, reinforcement learning, and blockchain-based systems. Dr. Shahbazi has also led and participated in international research collaborations, notably securing a Vinnova-funded international staff exchange project with a partner institution in South Korea. Her career path showcases her ability to transition between theoretical research and practical implementations, including experience in advanced programming, system architecture, and AI model development. These roles have enabled her to contribute to both the academic and industrial applications of intelligent technologies, while also strengthening her leadership and mentoring capabilities in multidisciplinary, multicultural environments.

Research Interest

Dr. Zeinab Shahbazi’s research interests are deeply rooted in intelligent computing systems, with a focus on Reinforcement Learning, Deep Learning, Natural Language Processing (NLP), Blockchain, Knowledge Discovery, and their integration within modern technological ecosystems such as IoT, edge computing, and big data platforms. Her core research ambition lies in improving existing AI models and architectures, addressing their limitations, and introducing novel components to enhance performance and applicability. She has made notable contributions to the software aspects of AI, particularly through her work on knowledge-driven systems and blockchain-based data prediction. Dr. Shahbazi combines theoretical advancements with practical implementations, bridging the gap between academic research and real-world applications. Her multidisciplinary focus reflects a keen interest in innovation, system integration, and cross-domain problem-solving. This makes her work highly relevant to both academic audiences and industry stakeholders interested in deploying intelligent, data-driven systems for practical and scalable use.

Award and Honor

Dr. Zeinab Shahbazi has received multiple awards and honors in recognition of her academic excellence and research contributions. During her Ph.D. at Jeju National University, she was awarded the prestigious Presidential Award for distinguished research publications. She also received a university research grant in 2021 for her outstanding output during 2019–2020. Earlier in her academic career, she was a recipient of the BK government scholarship and multiple semester-based scholarships during her Master’s studies at Chonbuk National University. Her early academic promise was also recognized with a government-funded scholarship during her undergraduate studies in Iran. Additionally, she won the Best Paper and Presentation Award at the ITEC Conference in 2019, further solidifying her reputation in the research community. These honors demonstrate a consistent trajectory of excellence, reflecting both the quality and impact of her research work, as well as her ability to compete and stand out in international academic environments.

Conclusion

Dr. Zeinab Shahbazi exemplifies a dynamic and impactful researcher in the field of computer science, particularly in AI, machine learning, and data-driven systems. Her strong educational background, diverse international research experience, and cross-disciplinary expertise make her a well-rounded academic and innovator. Her ability to secure research funding, collaborate internationally, and publish high-quality work underlines her potential for long-term academic leadership. Recognized through various awards and honors, she has demonstrated excellence not only in individual performance but also in contributing to the broader scientific community through peer review and collaboration. Fluent in multiple languages and culturally adaptive, Dr. Shahbazi brings global perspective and technical depth to every role she undertakes. With a forward-thinking mindset and a commitment to advancing the state of AI, she stands as a strong candidate for high-level recognitions such as the Best Researcher Award and is poised to continue making meaningful contributions to academia and beyond.

Publications Top Notes

  • Title: Integration of blockchain, IoT and machine learning for multistage quality control and enhancing security in smart manufacturing
    Authors: Z. Shahbazi, Y.C. Byun
    Year: 2021
    Citations: 187

  • Title: A procedure for tracing supply chains for perishable food based on blockchain, machine learning and fuzzy logic
    Authors: Z. Shahbazi, Y.C. Byun
    Year: 2020
    Citations: 140

  • Title: Towards a secure thermal-energy aware routing protocol in wireless body area network based on blockchain technology
    Authors: Z. Shahbazi, Y.C. Byun
    Year: 2020
    Citations: 123

  • Title: Smart manufacturing real-time analysis based on blockchain and machine learning approaches
    Authors: Z. Shahbazi, Y.C. Byun
    Year: 2021
    Citations: 72

  • Title: Toward improving the prediction accuracy of product recommendation system using extreme gradient boosting and encoding approaches
    Authors: Z. Shahbazi, D. Hazra, S. Park, Y.C. Byun
    Year: 2020
    Citations: 68

  • Title: Improving transactional data system based on an edge computing–blockchain–machine learning integrated framework
    Authors: Z. Shahbazi, Y.C. Byun
    Year: 2021
    Citations: 64

  • Title: Product recommendation based on content-based filtering using XGBoost classifier
    Authors: Z. Shahbazi, Y.C. Byun
    Year: 2019
    Citations: 64

  • Title: Agent-based recommendation in E-learning environment using knowledge discovery and machine learning approaches
    Authors: Z. Shahbazi, Y.C. Byun
    Year: 2022
    Citations: 63

  • Title: Fake media detection based on natural language processing and blockchain approaches
    Authors: Z. Shahbazi, Y.C. Byun
    Year: 2021
    Citations: 63

  • Title: Improving the cryptocurrency price prediction performance based on reinforcement learning
    Authors: Z. Shahbazi, Y.C. Byun
    Year: 2021
    Citations: 60

  • Title: Machine learning-based analysis of cryptocurrency market financial risk management
    Authors: Z. Shahbazi, Y.C. Byun
    Year: 2022
    Citations: 58

  • Title: Lithium-ion battery estimation in online framework using extreme gradient boosting machine learning approach
    Authors: S. Jafari, Z. Shahbazi, Y.C. Byun, S.J. Lee
    Year: 2022
    Citations: 58

  • Title: Blockchain-based event detection and trust verification using natural language processing and machine learning
    Authors: Z. Shahbazi, Y.C. Byun
    Year: 2021
    Citations: 51

  • Title: Knowledge discovery on cryptocurrency exchange rate prediction using machine learning pipelines
    Authors: Z. Shahbazi, Y.C. Byun
    Year: 2022
    Citations: 42

  • Title: Lithium-ion battery health prediction on hybrid vehicles using machine learning approach
    Authors: S. Jafari, Z. Shahbazi, Y.C. Byun
    Year: 2022
    Citations: 36

Muawia Elsadig | Computer Science | Best Researcher Award

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Dr. Muawia Elsadig | Computer Science | Best Researcher Award

Assistant Professor at Imam Abdulrahman Bin Faisal University, Saudi Arabia

Dr. Muawia A. Elsadig is an accomplished Assistant Professor at Imam Abdulrahman Bin Faisal University in Saudi Arabia, with extensive experience in computer science, particularly in cybersecurity, information security, AI, machine learning, and bioinformatics. He has held academic positions at renowned institutions across Sudan, the UAE, and Saudi Arabia. Dr. Elsadig has authored over 30 peer-reviewed publications, many of which appear in high-impact Q1 and Q2 journals such as IEEE Access. His recent research focuses on cyber threat detection, secure communications, AI applications, and ethical issues in emerging technologies. He also serves as a reviewer for several leading international journals and contributes actively to institutional research development through editing, reviewing, and ethical oversight roles. With a consistent research record, interdisciplinary expertise, and international teaching background, Dr. Elsadig demonstrates strong leadership and scholarly contributions, making him a highly deserving candidate for recognition through prestigious research awards.

Professional Profile 

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Scopus Profile
ORCID Profile 

Education

Dr. Muawia A. Elsadig holds a strong academic foundation in computer engineering and science. He earned his B.Sc. (Honors) in Computer Engineering from the University of Gezira, Sudan, in 2000, followed by an M.Sc. in Computer Engineering and Networks from the same institution in 2003, graduating with first-class honors. He later completed his Ph.D. in Computer Science, specializing in Information Security, at Sudan University of Science and Technology (SUST) in 2018. His academic progression reflects a focused commitment to cybersecurity and advanced computing disciplines. Each stage of his education laid a strong theoretical and technical groundwork, preparing him for a dynamic career in both academia and research. His doctoral studies, in particular, sharpened his expertise in network security and information assurance, providing a springboard for his subsequent contributions to the fields of cyber defense, machine learning, and secure systems. Dr. Elsadig’s educational background is both comprehensive and rigorously specialized.

Professional Experience

Dr. Muawia A. Elsadig has over two decades of professional experience in academia and industry, reflecting his deep engagement with computing disciplines. He has served in teaching and research roles at prominent universities including the University of Gezira in Sudan, the University of Sharjah in the UAE, and King Khalid University in Saudi Arabia. Since 2018, he has held the position of Assistant Professor at Imam Abdulrahman Bin Faisal University (IAU) in Saudi Arabia, contributing to both the Computer Science Department and the university’s Deanship of Scientific Research. His responsibilities span teaching, curriculum development, research supervision, and participation in ethical review processes as a member of the Institutional Review Board (IRB). He has also been involved in the editorial review of internal research grants. His industry experience complements his academic roles, providing a practical dimension to his teaching and research. Dr. Elsadig’s professional journey is marked by dedication, cross-cultural competence, and research leadership.

Research Interest

Dr. Muawia A. Elsadig’s research interests are broad and interdisciplinary, encompassing cybersecurity, information security, network security, artificial intelligence, machine learning, deep learning, and bioinformatics. His work explores both theoretical foundations and practical applications, with a strong focus on developing lightweight, efficient models for detecting cyber threats such as denial-of-service (DoS) attacks and covert channels. He is also interested in the ethical implications of emerging technologies, having published insightful work on the societal impacts of AI tools like ChatGPT and machine translation systems. Dr. Elsadig has applied machine learning techniques to critical areas such as breast cancer detection and secure data encryption, demonstrating a commitment to using AI for social good. His research often bridges technical rigor with applied innovation, and he collaborates on projects that integrate computing with healthcare and secure communications. This interdisciplinary approach makes his research both relevant and impactful in today’s fast-evolving technological landscape.

Award and Honor

Dr. Muawia A. Elsadig has received multiple awards and recognitions for his research excellence, particularly for publishing in high-impact, peer-reviewed international journals indexed in the Web of Science and Scopus (Q1 and Q2). These recognitions reflect the high quality and scholarly contribution of his research in fields such as cybersecurity, AI, and bioinformatics. He has also been acknowledged by his institutions for his active role in scientific research development, including grant proposal evaluations and ethical oversight. Beyond individual publications, his selection as a peer reviewer for top-tier journals like IEEE Access and Artificial Intelligence Review is an implicit honor, affirming his expertise and credibility in his research domains. While the profile does not list named external awards or grants, the consistent publication record, academic appointments, and responsibilities he holds at respected institutions are strong indicators of his professional esteem. These honors collectively highlight his value as a research leader and academic mentor.

Conclusion

In conclusion, Dr. Muawia A. Elsadig stands out as a highly accomplished academic and researcher in the domains of computer science and cybersecurity. With a solid educational background, extensive teaching experience, and a strong portfolio of international publications, he has made significant contributions to both theoretical advancements and practical solutions in his field. His work bridges artificial intelligence, secure systems, and bioinformatics, reflecting both depth and breadth in his research pursuits. Dr. Elsadig’s ongoing involvement in peer review, research ethics, and interdisciplinary collaboration highlights his commitment to advancing knowledge and ensuring research integrity. He is not only a prolific scholar but also an active academic citizen dedicated to mentoring, ethical governance, and the strategic development of research agendas. His achievements and leadership position him as a compelling candidate for prestigious honors such as the Best Researcher Award, and he continues to be a driving force in his academic community and beyond.

Publications Top Notes

  • Title: The Impact of Artificial Intelligence on Language Translation: A Review
    Authors: YA Mohamed, A Khanan, M Bashir, AHHM Mohamed, MAE Adiel, MA Elsadig
    Year: 2024
    Citations: 124

  • Title: Breast Cancer Detection Using Machine Learning Approaches: A Comparative Study
    Authors: MA Elsadig, A Altigani, HT Elshoush
    Year: 2023
    Citations: 60

  • Title: VANETs Security Issues and Challenges: A Survey
    Authors: MA Elsadig, YA Fadlalla
    Year: 2016
    Citations: 60

  • Title: Detection of Denial-of-Service Attack in Wireless Sensor Networks: A Lightweight Machine Learning Approach
    Author: MA Elsadig
    Year: 2023
    Citations: 52

  • Title: Covert Channel Detection: Machine Learning Approaches
    Authors: MA Elsadig, A Gafar
    Year: 2022
    Citations: 49

  • Title: A Polymorphic Advanced Encryption Standard – A Novel Approach
    Authors: A Altigani, S Hasan, B Barry, S Naserelden, MA Elsadig, HT Elshoush
    Year: 2021
    Citations: 46

  • Title: Survey on Covert Storage Channel in Computer Network Protocols: Detection and Mitigation Techniques
    Authors: MA Elsadig, YA Fadlalla
    Year: 2016
    Citations: 37

  • Title: Security Issues and Challenges on Wireless Sensor Networks
    Authors: MA Elsadig, A Altigani, MA Baraka
    Year: 2019
    Citations: 26

  • Title: Network Protocol Covert Channels: Countermeasures Techniques
    Authors: MA Elsadig, YA Fadlalla
    Year: 2017
    Citations: 26

  • Title: Information Extraction Methods and Techniques in Chemical Documents: Survey
    Authors: M Abdelmagid, AA, Mubarak Himmat
    Year: 2015
    Citations: 24

  • Title: Mobile Ad Hoc Network Routing Protocols: Performance Evaluation and Assessment
    Authors: MA Elsadig, A Yahia
    Year: 2018
    Citations: 22

  • Title: Packet Length Covert Channel: A Detection Scheme
    Authors: MA Elsadig, YA Fadlalla
    Year: 2018
    Citations: 20

  • Title: A Balanced Approach to Eliminate Packet Length-Based Covert Channels
    Authors: MA Elsadig, YA Fadlalla
    Year: 2017
    Citations: 17

  • Title: Analyzing the Performance of the AES Block Cipher Modes of Operation
    Authors: A Altigani, M Abdelmagid, B Barry
    Year: 2016
    Citations: 13

  • Title: ChatGPT and Cybersecurity: Risk Knocking the Door
    Author: MA Elsadig
    Year: 2024
    Citations: 10

Chourouk Ouerghemmi | Business | Best Researcher Award

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Dr. Chourouk Ouerghemmi | Business | Best Researcher Award

Postdoctoral Researcher at Université du Québec à Chicoutimi, Canada

Docteure Chourouk Ouerghemmi is a dedicated researcher and educator currently serving as a research and teaching assistant at the Université du Québec à Chicoutimi (UQAC). With a strong academic background in marketing, sustainability, and consumer behavior, she brings interdisciplinary expertise to both her research and pedagogical activities. Her work spans data analysis (SPSS, Nvivo, AMOS), ethics certifications, research design, and scientific writing. She actively contributes to projects promoting the circular economy and digital responsibility in Québec, and is engaged in science communication through workshops, training videos, and digital content creation. Her teaching experience includes undergraduate and graduate instruction in Canada and Tunisia, where she has developed and delivered innovative, student-centered curricula. In addition to her academic achievements, she plays a vital role in community outreach, policy initiatives, and the organization of scientific events. Her dynamic, cross-cultural experience and commitment to societal impact position her as a rising leader in research and education.

Professional Profile 

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ORCID Profile

Education

Docteure Chourouk Ouerghemmi holds a Ph.D. in Marketing, supported by a solid academic foundation in management and consumer behavior. She completed her doctoral studies under the framework of an international academic exchange, culminating in a research internship at the Université du Québec à Chicoutimi (UQAC), Canada. Her academic journey includes formal education and training in both Tunisia and Canada, allowing her to build expertise in both theoretical and applied aspects of marketing, sustainability, and innovation. Her educational background is complemented by certifications in qualitative and quantitative research methodologies, including advanced proficiency in tools such as SPSS, AMOS, and Nvivo. Her academic path reflects a strong commitment to interdisciplinary learning, combining insights from economics, technology, and behavioral sciences. This blend of diverse academic experiences has provided her with the skills to analyze complex problems and contribute meaningfully to both academic and societal debates on responsible innovation and sustainable consumption.

Professional Experience

Chourouk Ouerghemmi has developed a rich and diverse professional portfolio across research, teaching, and academic service. She currently serves as a research and teaching assistant at UQAC, where she designs experimental research protocols, analyzes complex data sets, drafts grant proposals, and delivers lectures in marketing and consumer behavior. Her past experiences include teaching at the undergraduate level in Tunisia and Canada, delivering tailored support to master’s and doctoral students, and co-organizing high-level academic events. She has also contributed extensively to public outreach, including producing training capsules and managing digital platforms for research dissemination. Her professional roles reflect versatility, ranging from data-driven research to practical teaching applications. Moreover, she has actively participated in government-funded projects related to sustainability and digital responsibility in Québec, emphasizing her engagement with real-world challenges. These experiences position her as a well-rounded academic professional capable of integrating research, teaching, and community service in meaningful and impactful ways.

Research Interest

Dr. Ouerghemmi’s research interests lie at the intersection of marketing, sustainability, consumer behavior, and digital responsibility. She focuses on how consumer choices are shaped by environmental, technological, and ethical factors, particularly in the context of circular economy and responsible innovation. Her work often applies both qualitative and quantitative research methods to examine behavior patterns, assess marketing strategies, and design sustainable consumer engagement models. She has also explored themes such as sobriety, ethical digital practices, and societal resilience, contributing to forward-thinking research agendas such as Québec’s roadmap toward a circular economy and a sustainable digital future. In addition, her interests extend to pedagogy and science communication, especially through digital tools and open-access training resources. By engaging in interdisciplinary collaborations and public policy discussions, her research contributes to addressing complex societal problems through a behavioral science lens, making her work not only academically rigorous but also socially relevant and impactful.

Award and Honor

While specific award titles are not explicitly detailed, Chourouk Ouerghemmi has received significant recognition through competitive academic placements and participation in prestigious research projects. Her doctoral exchange at UQAC was supported by the Tunisian Ministry of Higher Education, demonstrating institutional trust in her academic promise. She has also been invited to contribute to high-profile initiatives, such as Québec’s participatory roadmap toward a circular economy (RRECQ) and intersectoral strategies on sustainable digital futures. These roles reflect peer recognition of her expertise and her ability to contribute to policy-shaping efforts. Her selection to evaluate academic posters and scientific papers, along with speaking roles at various colloquia, further underscore the esteem in which she is held by the academic community. Additionally, her leadership in training and mentoring students through tailored workshops and e-learning tools has established her as a respected figure in research knowledge transfer and academic support. These achievements collectively highlight her emerging prominence in her field.

Conclusion

Docteure Chourouk Ouerghemmi stands out as a dynamic and committed researcher with a growing impact in academia and society. Her multidimensional expertise—spanning marketing, sustainability, education, and data analysis—enables her to bridge the gap between theoretical research and practical application. She brings a rare combination of scholarly depth, pedagogical innovation, and social engagement to her work. From designing rigorous research protocols to delivering inclusive and interactive teaching experiences, she embodies the qualities of a modern academic leader. Her involvement in national and intersectoral research initiatives further demonstrates her capacity to influence systemic change, particularly in the realms of circular economy and digital ethics. With a track record of interdisciplinary collaboration, policy-oriented research, and international exposure, Chourouk Ouerghemmi is well-positioned for future academic honors and leadership roles. Her profile reflects not just academic excellence but a strong dedication to making research a driver of sustainable and ethical societal progress.

Publications Top Notes

  • Title: Overview of factors influencing consumer engagement with plastic recycling
    Authors: M. Ertz, W. Addar, C. Ouerghemmi, M. Takaffoli
    Year: 2023
    Citations: 27

  • Title: The impact of virtual reality (VR) tour experience on tourists’ intention to visit
    Authors: C. Ouerghemmi, M. Ertz, N. Bouslama, U. Tandon
    Year: 2023
    Citations: 25

  • Title: Virtual Tasting in the Metaverse: Technological Advances and Consumer Behavior Impacts
    Authors: F.A. Moustapha, M. Ertz, C. Ouerghemmi
    Year: 2024
    Citations: 5

  • Title: Influence of atmospheric cues on the consumers’ behaviour: moderating effects of the aesthetic centrality of the store and the purpose of the visit
    Authors: A.A. Zarrouk, C. Ouerghemmi
    Year: 2019
    Citations: 4

  • Title: Impact of virtual reality on tourism (Encyclopedia entry)
    Authors: C. Ouerghemmi, M. Ertz, N. Bouslama, U. Tandon
    Year: 2023
    Citations: 3*

  • Title: Impact of the metaverse on sustainability in the construction industry
    Authors: M. Ertz, C. Ouerghemmi, Y.N. Njika
    Year: 2024
    Citations: 2

  • Title: Fostering Sustainability Through Digital Evolution: Evaluating Industry 5.0 Preparedness in Quebec’s Regional SMEs
    Authors: S. Vallée, M. Ertz, C. Ouerghemmi, A. Périn
    Year: 2025

Feixiang Li | Computer Science | Best Researcher Award

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Dr. Feixiang Li | Computer Science | Best Researcher Award

Senior Eengineer at The 15th Research Institute of China Electronics Technology Corporation, China

Feixiang Li is a dedicated researcher and senior engineer specializing in Mobile Edge Computing, Software Defined Networks (SDN), and Evolutionary Algorithms. He earned his Ph.D. from Beijing University of Technology in 2020 and currently holds a senior engineering position at the 15th Research Institute of China Electronics Technology Corporation. His research has resulted in numerous publications in prestigious, high-impact journals such as IEEE Transactions on Industrial Informatics and IEEE Transactions on Mobile Computing. Feixiang has demonstrated a strong ability to bridge theoretical research with practical applications, contributing to fields essential to next-generation communication technologies. His work showcases consistent academic productivity, interdisciplinary problem-solving, and real-world relevance. While there is potential to expand international collaborations and increase innovation leadership, his achievements to date mark him as a significant contributor to his field. Feixiang Li stands out as a promising candidate for honors recognizing research excellence in computer science and telecommunications.

Professional Profile

ORCID Profile

Education

Feixiang Li completed his Ph.D. in Computer Science at Beijing University of Technology in June 2020. His doctoral research focused on Mobile Edge Computing and Software Defined Networks, integrating theoretical frameworks with real-world computing challenges. His academic training equipped him with a solid foundation in advanced algorithms, optimization methods, and emerging communication technologies. During his Ph.D., he began publishing in high-impact journals and enaging in collaborative research with leading scholars in the field. His academic journey reflects a strong emphasis on applied research and innovative problem-solving in the domain of network systems and intelligent computing. This solid educational background has not only shaped his technical expertise but also laid the groundwork for his ongoing contributions to both academia and industry. The combination of deep theoretical knowledge and practical insights defines his educational experience and positions him well for leading-edge research in evolving digital infrastructure and smart network systems.

Professional Experience

After earning his Ph.D., Feixiang Li joined the 15th Research Institute of China Electronics Technology Corporation as an engineer in July 2020. His role focused on the development and optimization of network systems, with a particular emphasis on edge computing solutions and SDN architecture. In November 2022, he was promoted to Senior Engineer, reflecting recognition of his technical leadership and innovative contributions. In this capacity, Feixiang has worked on high-impact projects with national relevance, integrating academic research into practical implementations that advance China’s communication technology infrastructure. His experience bridges the gap between academic innovation and industrial application, allowing him to contribute meaningfully to both spheres. With a strong command of evolving digital technologies and hands-on experience in designing and deploying scalable systems, he continues to push the boundaries of what is technically possible in his field. His professional trajectory demonstrates steady growth, leadership, and a commitment to innovation-driven development.

Research Interest

Feixiang Li’s research interests lie at the intersection of Mobile Edge Computing, Software Defined Networks (SDN), and Evolutionary Algorithms. His work addresses critical challenges in network optimization, resource allocation, and intelligent control in dense communication environments. He has published influential studies on computation offloading using game theory and auction-based models, reflecting his expertise in both algorithm design and systems thinking. Feixiang is particularly interested in how emerging network paradigms like SDN and edge computing can be made more efficient and adaptive through intelligent algorithms. His research not only contributes theoretical models but also delivers practical tools for enhancing communication systems in the era of IoT and 5G. These interests position him at the forefront of digital infrastructure innovation. As networks become more complex and data-driven, his work provides scalable, intelligent solutions to meet future demands, reinforcing his role as a vital contributor to the advancement of modern communication technologies.

Award and Honor

While specific individual awards and honors are not listed in the provided resume, Feixiang Li’s track record reflects recognition through peer-reviewed publications in high-impact journals such as IEEE Transactions on Industrial Informatics and IEEE Transactions on Mobile Computing. These publications, often co-authored with respected researchers, indicate scholarly recognition and professional credibility in the field of computer science and communication networks. His promotion to Senior Engineer at a prominent national research institute also suggests internal recognition of his expertise and leadership. Participation in major international conferences and acceptance of his work in top-tier venues serve as further evidence of his standing within the academic and professional community. Although formal awards are not explicitly mentioned, the quality, volume, and impact of his research contributions suggest a strong foundation for future honors and positions him as a valuable candidate for accolades such as the Best Researcher Award or other academic distinctions in technology and engineering.

Conclusion

Feixiang Li is a highly capable researcher and engineer whose work bridges academic innovation and real-world technology implementation. With a strong educational foundation, extensive experience in a national research institute, and a focused research agenda in high-impact areas like edge computing and SDNs, he stands out as a leader in his field. His publications in top-tier journals and his growing professional responsibilities underscore his commitment to advancing the state of digital communication systems. While there is room to expand his global research network and innovation leadership, his current achievements reflect a robust trajectory of growth, influence, and potential. Feixiang’s career exemplifies the integration of theoretical rigor with applied engineering, making him a strong candidate for awards and honors that recognize excellence in research and technological innovation. As he continues to evolve professionally and academically, he is well-positioned to make further meaningful contributions to the future of intelligent networked systems.

Publications Top Notes

  1. Title: A Deep Reinforcement Learning-Based Topology Optimisation Method for Distributed Trial Networks

  2. Title: A Transformer-GRU-Based Edge Computing Method for Vessel Trajectory Prediction

  3. Title: Constant-Time Discrete Gaussian Sampling for Edge Computing Based on DPWGAN

  4. Title: Semi-supervised Remote Sensing Image Classification for Edge Computing via Contrastive Learning

  1. Title: Collaborative Computation Offloading and Resource Management in Space–Air–Ground Integrated Networking

  2. Title: Intelligent Computation Offloading Mechanism with Content Cache in Mobile Edge Computing

  3. Title: Auction Design for Edge Computation Offloading in SDN-Based Ultra Dense Networks

    • Authors: Feixiang Li, Haipeng Yao, Jun Du, Chunxiao Jiang, Zhu Han, Yunjie Liu

    • Journal: IEEE Transactions on Mobile Computing

    • Year: 2022

    • DOI: 10.1109/TMC.2020.3026319

  4. Title: Stackelberg Game-Based Computation Offloading in Social and Cognitive IIoT

    • Authors: Feixiang Li, Haipeng Yao, Jun Du, Chunxiao Jiang, Yi Qian

    • Journal: IEEE Transactions on Industrial Informatics

    • Year: 2020

    • DOI: 10.1109/TII.2019.2961662

  5. Title: Multi-Controller Resource Management for Software-Defined Wireless Networks

    • Authors: Feixiang Li, Xiaobin Xu, Haipeng Yao, Jingjing Wang, Chunxiao Jiang, Song Guo

    • Journal: IEEE Communications Letters

    • Year: 2019

    • DOI: 10.1109/LCOMM.2019.2891527

    • Citations: 18 (Scopus)

  6. Title: Bat Algorithm with Principal Component Analysis

    • Authors: Zhihua Cui, Feixiang Li, Wensheng Zhang

    • Journal: International Journal of Machine Learning and Cybernetics

    • Year: 2019

    • DOI: 10.1007/s13042-018-0888-4

Oleg Morozov | Engineering | Best Researcher Award

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Prof. Oleg Morozov | Engineering | Best Researcher Award

Professor at Kazan National Research Technical University n.a. A.N. Tupolev-KAI, Russia

Prof. Oleg G. Morozov is a distinguished academic and researcher in the field of microwave photonics and fiber optic sensor technology. Born on October 30, 1960, in Kazan, Tatarstan, Russia, he has made significant contributions to both fundamental and applied aspects of electrodynamics and photonics. With a professional career spanning over four decades, Prof. Morozov has held various high-impact academic and administrative positions at Kazan National Research Technical University named after A.N. Tupolev-KAI. He is known for his leadership in advancing research at the intersection of electronics, photonics, and cyber-physical systems. His work has been central to establishing several key academic departments and research labs, and he is currently the Head of the IT-COM Department. In addition to his academic duties, he serves as the Chief Editor of the journal Electronics, Photonics and Cyber-Physical Systems. He is widely respected for both his scientific rigor and leadership in research development.

Professional Profile

Education

Prof. Morozov pursued his early higher education in radiotechnics, graduating as an Engineer in 1983 from the Tupolev Aviation Institute in Kazan. Demonstrating academic excellence and deep technical curiosity, he completed his Ph.D. in 1987, focusing on advanced topics in applied physics and communication systems. Further solidifying his standing in the academic community, he earned the prestigious Doctor of Technology degree in 2004 from Kazan National Research Technical University named after A.N. Tupolev-KAI. His educational journey is characterized by a strong foundation in electronics, microwave engineering, and photonics—fields that have informed his research career. Throughout his academic progression, Prof. Morozov has stayed closely involved with evolving technological disciplines, often integrating cross-disciplinary approaches in his teaching and research. His educational background has equipped him not only with in-depth technical knowledge but also with a strategic vision for technology’s role in science and innovation, particularly within the Russian higher education landscape.

Professional Experience

Prof. Morozov’s professional experience is marked by a series of leadership roles within Kazan National Research Technical University. From 1989 to 1993, he was the Head of the Quantum Electronics and Laser Technology R&D Lab, where he initiated numerous pioneering projects. Later, between 2005 and 2014, he led the TV and Multimedia Systems Department, focusing on advancements in signal processing and integrated media technologies. From 2014 to 2023, he served as the Head of the Radiophotonics and Microwave Technology Department, strengthening the university’s position in cutting-edge research. In parallel, he also directed the R&D Institute of Applied Electrodynamics, Photonics, and Life Systems from 2012 to 2021, where he supervised multidisciplinary research teams. Currently, he is a Professor and Head of the IT-COM Department. His professional path reflects a consistent commitment to innovation, interdisciplinary research, and fostering academic excellence in emerging technological domains.

Research Interests

Prof. Morozov’s research interests lie primarily in microwave photonics, fiber optic sensors, and radiophotonic interrogation techniques. His work bridges theoretical innovation and applied research, especially in high-frequency signal processing, quantum electronics, and cyber-physical system integration. He has contributed significantly to the development of advanced sensing technologies, optical communication systems, and integrated photonic devices. His research also explores the role of photonics in healthcare and smart systems, showing an ability to adapt traditional fields to modern technological challenges. Prof. Morozov has consistently aimed to merge physical sciences with engineering applications, contributing to both national and international scientific communities. His leadership in these areas has resulted in a number of collaborative projects and publications that have advanced the state of the art in photonics and related technologies. He also emphasizes system-level thinking, where electronics, optics, and digital technologies converge to build intelligent and adaptive sensing solutions for next-generation applications.

Awards and Honors

Throughout his illustrious career, Prof. Morozov has received numerous awards and honors recognizing his research excellence and academic contributions. Most notably, he was awarded the Frish Medal by the Russian Optical Society (ROS), a prestigious accolade for contributions to optical science and technology. He holds the Senior Member status in three leading professional organizations—IEEE, SPIE, and OSA—which reflects his recognized expertise and longstanding service to the global scientific community. Beyond personal awards, his editorial roles, including Guest and Board Editor positions with IntechOpen and MDPI journals, highlight his influence on the broader research discourse. Currently, he serves as the Chief Editor of the journal Electronics, Photonics and Cyber-Physical Systems, further solidifying his thought leadership in the field. These honors not only affirm his past achievements but also position him as a central figure in shaping future advancements in photonic systems and applied electrodynamics.

Conclusion

Prof. Oleg G. Morozov is highly suitable for the Best Researcher Award due to his long-standing and impactful career in cutting-edge technologies, particularly in photonics and microwave systems. His leadership roles, academic achievements, and recognition by esteemed global societies reinforce his strong candidacy.

Publications Top Notes

  • Title: Superstructured Addressable Fiber Bragg Structures

    • Authors: B. Valeev, R.A. Makarov, T.A. Agliullin, A.Z. Sakhabutdinov, O.G. Morozov

    • Year: 2025

    • Citations: 0

  • Title: OAM Mode Propagation and Supercontinuum Generation in a Nested Photonic Crystal Fiber

    • Authors: S. Punia, A. Saharia, Y. Ismail, G.L. Singh, M. Tiwari

    • Year: 2025

    • Citations: 0

  • Title: A Design of Nested Photonic Crystal Fiber for OAM Mode Propagation (Conference Paper)

    • Authors: S. Punia, A. Saharia, Y. Ismail, G.L. Singh, M. Tiwari

    • Year: Not specified

    • Citations: 0

  • Title: Microscopic Temperature Sensor Based on End-Face Fiber-Optic Fabry–Perot Interferometer

    • Authors: M. Chesnokova, D.I. Nurmuhametov, R.S. Ponomarev, O.G. Morozov, R.A. Makarov

    • Year: 2024

    • Citations: 2

  • Title: Design and Performance Analysis of a Novel Hoop-Cut SPR-PCF Sensor for High Sensitivity and Broad Range Sensing Applications

    • Authors: S. Mittal, A. Saharia, Y. Ismail, M. Tiwari, S. Kumar

    • Year: 2024

    • Citations: 12

  • Title: Ontology of Addressed Fiber Bragg Structures as a New Type of Sensor Elements (Conference Paper)

    • Authors: O.G. Morozov, A.Z. Sakhabutdinov

    • Year: Not specified

    • Citations: 0

  • Title: A Six-Core Microstructured Fiber for Sensing Applications (Conference Paper, repeated thrice)

    • Authors: A. Agarwal, S. Mittal, S. Punia, G.L. Singh, M. Tiwari

    • Year: Not specified

    • Citations: 0

  • Title: Modeling of Multi-Layer Fiber-Optic Fabry–Perot Interferometer as a Sensing Element of Humidity, Pressure and Temperature

    • Authors: A.Z. Sakhabutdinov, T.A. Agliullin, B. Valeev, O.G. Morozov, S.M. Hussein

    • Year: Not specified

    • Citations: 0

 

Martina Torricelli | Biochemistry | Women Researcher Award

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Dr. Martina Torricelli | Biochemistry | Women Researcher Award

Ricercatore sanitario at Istituto Zooprofilattico Sperimentale dell’Umbria e delle Marche “Togo Rosati”, Italy

Martina Torricelli is a dedicated biomedical researcher with over a decade of experience in molecular biology, biotechnology, and public health. She holds a PhD in Animal Health and Food Safety and is currently a permanent Research Scientist at the Istituto Zooprofilattico Sperimentale dell’Umbria e delle Marche. Her research spans molecular diagnostics, food safety, zoonotic diseases, and genetic studies in both human and veterinary contexts. Martina played a crucial role in the COVID-19 response through molecular testing and viral sequencing. She is also pursuing a specialization in Clinical Pathology and holds a Master’s in Health Management, reflecting her commitment to both scientific and organizational excellence. Her technical expertise includes real-time PCR, sequencing, and bioinformatics, supported by numerous national research projects. Passionate about science, she consistently contributes to scientific writing and project development. Martina exemplifies perseverance, scientific rigor, and a strong contribution to public health, making her a valuable figure in biomedical research.

Professional Profile

Scopus Profile
ORCID Profile

Education

Martina Torricelli has a comprehensive academic background in life sciences and biotechnology. She holds a PhD in “Animal Health, Livestock Production, and Food Safety” from the Faculty of Veterinary Medicine at the University of Perugia, where she conducted research at the Istituto Zooprofilattico Sperimentale dell’Umbria e delle Marche (IZSUM). She is also a licensed Biologist, having passed the national certification exam in 2014 and is registered in the Order of Biologists (Section A). To further enhance her clinical and diagnostic expertise, Martina enrolled in a specialization school in Clinical Pathology and Biochemistry and is currently in her third year. Complementing her scientific education, she obtained a Level II Master’s in Healthcare Management from the University “Niccolò Cusano” in 2024. Her academic achievements reflect a multidisciplinary approach that bridges research, diagnostics, and management, preparing her for both laboratory innovation and healthcare leadership roles.

Professional Experience

Martina Torricelli’s professional journey is rooted in research and diagnostic laboratories at the IZSUM, where she has built a solid reputation in molecular biology and biotechnology. With more than a decade of experience, she has held various research positions funded through scholarships and fixed-term contracts before earning a permanent role as a Research Scientist in 2024. Her work has involved developing and validating molecular techniques for detecting pathogens, food allergens, and genetic polymorphisms in both animal and food matrices. Notably, she contributed to Italy’s COVID-19 emergency response by performing molecular analysis and sequencing of SARS-CoV-2. Martina has led or contributed to several national projects, including genetic improvement in dairy herds and the study of Toll-like receptor polymorphisms in bovines. Her ability to bridge field diagnostics, laboratory innovation, and applied research showcases her versatility and reliability as a scientific professional in both public health and veterinary fields.

Research Interests

Martina Torricelli’s research interests focus on molecular diagnostics, genetic characterization, food safety, zoonotic diseases, and host-pathogen interactions. Her work reflects a strong commitment to improving both animal and public health through the application of cutting-edge biotechnological tools. She has worked extensively with PCR, real-time PCR, digital PCR, DNA sequencing, and in silico bioinformatic analysis. Notably, she has investigated SNP associations in immune-related genes, such as Toll-like receptors in cattle, and contributed to allergen detection and GMO studies in food. Her PhD and subsequent research emphasized translational science, connecting lab-based findings to real-world health applications. Martina is also passionate about One Health approaches, integrating veterinary and human diagnostics. She actively contributes to writing scientific papers and research proposals, further showing her commitment to academic dissemination and innovation. Her interests continue to evolve toward clinical pathology, supported by her current specialization studies, ensuring a well-rounded profile with both depth and adaptability.

Awards and Honors

While specific awards are not explicitly listed, Martina Torricelli’s career achievements and academic recognitions highlight a consistently excellent performance in the biomedical research field. She successfully obtained her PhD with top evaluations and earned national recognition by qualifying as a registered Biologist. Martina’s continuous receipt of competitive research fellowships at IZSUM for over a decade reflects institutional trust and recognition of her expertise and dedication. Her involvement in key national research projects—such as those focused on food allergen detection, genetic resistance in livestock, and SARS-CoV-2 diagnostics—demonstrates her reputation as a reliable and skilled scientist. Her recent promotion to a permanent Research Scientist position in 2024 further underlines the institutional value placed on her work. Additionally, her enrollment and success in the Clinical Pathology specialization and Health Management Master’s program showcase her drive to continuously expand her professional competence, making her a strong candidate for recognition such as the Women Researcher Award.

Conclusion

Martina Torricelli stands out as a passionate, driven, and well-rounded biomedical researcher whose work has significantly contributed to molecular diagnostics, public health, and veterinary science. Her extensive experience at IZSUM, participation in nationally significant projects, and evolving academic pursuits highlight her adaptability and continuous professional growth. She brings together technical expertise, collaborative spirit, and an interdisciplinary outlook aligned with the principles of One Health. Her dedication to scientific rigor, innovation, and her pivotal role during the COVID-19 pandemic further underscore her impact. Martina’s transition from scholarship-based roles to a permanent research position is a testament to her competence and commitment. With ongoing specialization in clinical pathology and advanced training in healthcare management, she is well-equipped for leadership in research and diagnostic innovation. These attributes collectively make her a highly deserving candidate for the Women Researcher Award, celebrating both her achievements and her potential for continued contributions to science and public health.

Publications Top Notes

  • Title: Gene Expression Study in Gilthead Seabream (Sparus aurata): Effects of Dietary Supplementation with Olive Oil Polyphenols on Immunity, Metabolic, and Oxidative Stress Pathways
    Authors: Torricelli, Martina; Felici, Andrea; Branciari, Raffaella; Ranucci, David; Agnetti, Francesco
    Year: 2024
    Source: International Journal of Molecular Sciences

  • Title: Terbinafine Resistance in Trichophyton Strains Isolated from Humans and Animals: A Retrospective Cohort Study in Italy, 2016 to May 2024
    Authors: Crotti, Silvia; Cruciani, Deborah; Sabbatucci, Michela; Spina, Sara; Piscioneri, Vincenzo; Torricelli, Martina; Calcaterra, Roberta; Farina, Claudio; Pisano, Luigi; PAPINI, Manuela
    Year: 2024
    Source: Journal of Clinical Medicine
    DOI: 10.3390/jcm13185493

  • Title: Evaluation of Single Nucleotide Polymorphisms (SNPs) Associated with Genetic Resistance to Bovine Paratuberculosis in Marchigiana Beef Cattle, an Italian Native Breed
    Authors: Mazzone, Piera; Di Paolo, Antonella; Petrucci, Linda; Torricelli, Martina; Corneli, Sara; Sebastiani, Carla; Ciullo, Marcella; Sebastianelli, Martina; Costarelli, Silva; Scoccia, Eleonora
    Year: 2023
    Source: Animals
    DOI: 10.3390/ANI13040587

  • Title: Porcine Reproductive and Respiratory Syndrome (PRRS) and CD163 Resistance Polymorphic Markers: What Is the Scenario in Naturally Infected Pig Livestock in Central Italy?
    Authors: Torricelli, Martina; Fratto, Anna; Ciullo, Marcella; Sebastiani, Carla; Arcangeli, Chiara; Felici, Andrea; Giovannini, Samira; Sarti, Francesca Maria; Sensi, Marco; Biagetti, Massimo
    Year: 2023
    Source: Animals
    DOI: 10.3390/ANI13152477

  • Title: Tapeworms Detected in Wolf Populations in Central Italy (Umbria and Marche regions): A Long-term Study
    Authors: Crotti, Silvia; Spina, Sara; Cruciani, Deborah; Bonelli, Piero; Felici, Andrea; Gavaudan, Stefano; Gobbi, Marco; Morandi, Federico; Piseddu, Toni; Torricelli, Martina
    Year: 2023
    Source: International Journal for Parasitology: Parasites and Wildlife
    DOI: 10.1016/J.IJPPAW.2023.03.007

  • Title: Genetic Characterization of Small Ruminant Lentiviruses (SRLVs) Circulating in Naturally Infected Sheep in Central Italy
    Authors: Arcangeli, Chiara; Torricelli, Martina; Sebastiani, Carla; Lucarelli, Daniele; Ciullo, Marcella; Passamonti, Fabrizio; Giammarioli, Monica; Biagetti, Massimo
    Year: 2022
    Source: Viruses
    DOI: 10.3390/V14040686

  • Title: Marker-assisted Selection of Dairy Cows for Beta-casein Gene A2 Variant
    Authors: Sebastiani, Carla; Arcangeli, Chiara; Torricelli, Martina; Ciullo, Marcella; D’avino, Nicoletta; Cinti, Giulia; Fisichella, Stefano; Biagetti, Massimo
    Year: 2022
    Source: Italian Journal of Food Science
    DOI: 10.15586/IJFS.V34I2.2178

  • Title: PRNP Polymorphisms in Eight Local Goat Populations/Breeds from Central and Southern Italy
    Authors: Torricelli, Martina; Sebastiani, Carla; Ciullo, Marcella; Ceccobelli, Simone; Chiappini, Barbara; Vaccari, Gabriele; Capocefalo, Antonio; Conte, Michela; Giovannini, Samira; Lasagna, Emiliano
    Year: 2021
    Source: Animals
    DOI: 10.3390/ANI11020333

  • Title: First Survey of SNPs in TMEM154, TLR9, MYD88 and CCR5 Genes in Sheep Reared in Italy and Their Association with Resistance to SRLVs Infection
    Authors: Arcangeli, Chiara; Lucarelli, Daniele; Torricelli, Martina; Sebastiani, Carla; Ciullo, Marcella; Pellegrini, Claudia; Felici, Andrea; Costarelli, Silva; Giammarioli, Monica; Feliziani, Francesco
    Year: 2021
    Source: Viruses
    DOI: 10.3390/v13071290

  • Title: Early Detection of Mycobacterium avium subsp. paratuberculosis Infected Cattle: Use of Experimental Johnins and Innovative Interferon-Gamma Test Interpretative Criteria
    Year: 2021
    Source: Frontiers in Veterinary Science
    DOI: 10.3389/fvets.2021.638890

  • Title: Frequencies Evaluation of Beta-Casein Gene Polymorphisms in Dairy Cows Reared in Central Italy
    Authors: Sebastiani, Carla; Arcangeli, Chiara; Ciullo, Marcella; Torricelli, Martina; Cinti, Giulia; Fisichella, Stefano; Biagetti, Massimo
    Year: 2020
    Source: Animals
    DOI: 10.3390/ANI10020252

  • Title: Sesame, Pistachio, and Macadamia Nut: Development and Validation of New Allergenic Systems for Fast Real-Time PCR Application
    Year: 2020
    Source: Foods
    DOI: 10.3390/foods9081085

  • Title: A Multi-screening Fast qPCR Approach to the Identification of Abortive Agents in Ruminants
    Year: 2018
    Source: Journal of Microbiological Methods
    DOI: 10.1016/J.MIMET.2018.03.009

  • Title: Digital PCR for Analysis of Peanut and Soybean Allergens in Foods
    Year: 2018
    Source: Food Control
    DOI: 10.1016/J.FOODCONT.2018.04.039

  • Title: Evaluation of Systems for Nopaline Synthase Terminator in Fast and Standard Real-Time PCR to Screen Genetically Modified Organisms
    Year: 2016
    Source: Food Analytical Methods
    DOI: 10.1007/S12161-015-0283-7

  • Title: In-house Validation of a DNA Extraction Protocol from Honey and Bee Pollen and Analysis in Fast Real-Time PCR of Commercial Honey Samples Using a Knowledge-Based Approach
    Year: 2016
    Source: Food Analytical Methods
    DOI: 10.1007/S12161-016-0539-X

 

 

Romoke Grace Akindele | Electronics Science | Best Researcher Award

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Mrs. Romoke Grace Akindele | Electronics Science | Best Researcher Award

Romoke Grace Akindele , Hebei University of Technolgy ,China

Romoke Grace Akindele is a dedicated researcher and educator in the field of electronic science, currently pursuing her Ph.D. at Hebei University of Technology in Tianjin, China. Born in Nigeria, she has cultivated a strong academic background with a focus on electronic circuit design and signal processing. Romoke is committed to fostering scientific inquiry and mentoring young students, believing that education should inspire innovation. Her diverse experiences, from teaching physics to participating in international research projects, reflect her passion for contributing to advancements in technology. With multiple published works, Romoke aims to bridge the gap between theory and practical applications in electronics, ultimately seeking to improve lives through technological innovation.

Profile

Education:

Romoke holds a Bachelor’s degree in Pure and Applied Physics from Ladoke Akintola University of Technology (LAUTECH), Nigeria, and a Master’s degree in Communication Physics from the Federal University of Technology Akure (FUTA), Nigeria. Currently enrolled in a Ph.D. program, her academic journey is characterized by a robust focus on electronic principles and their applications in modern technology. Throughout her studies, Romoke has participated in various workshops and training programs, enhancing her skills in machine learning and electronic circuit design. This commitment to continuous learning is evident as she integrates the latest advancements in her research.

Experience:

Romoke has accumulated a diverse range of experience in both academia and industry. Her tenure as a Physics teacher at multiple institutions in Nigeria equipped her with effective teaching methodologies and strong communication skills. Additionally, she served as an Administrative Assistant, where she honed her organizational and management abilities. During her industrial training at the International Institute of Tropical Agriculture (IITA), she gained practical skills in troubleshooting and installation of electronic systems. These experiences have enriched her understanding of electronic science, preparing her for her current research endeavors and collaborative projects.

Awards and Honors:

Romoke has received several accolades for her academic and research excellence. Her participation in international workshops has earned her recognition as an outstanding participant, particularly in the “Frontier Technologies and Applications of Target Recognition” summer school program. Her contributions to collaborative research projects have also garnered funding and support from esteemed institutions. Romoke’s awards reflect her dedication to advancing electronic science and her potential to make significant contributions to the field.

Awards and Honors:

Romoke has received several accolades for her academic and research excellence. Her participation in international workshops has earned her recognition as an outstanding participant, particularly in the “Frontier Technologies and Applications of Target Recognition” summer school program. Her contributions to collaborative research projects have also garnered funding and support from esteemed institutions. Romoke’s awards reflect her dedication to advancing electronic science and her potential to make significant contributions to the field.

Publication Top Notes:

  1. OBhunter: An ensemble spectral-angular based transformer network for occlusion detection
    Expert Systems with Applications
    2024-08 | DOI: 10.1016/j.eswa.2024.123324
  2. Denoising of Nifti (MRI) Images with a Regularized Neighborhood Pixel Similarity Wavelet Algorithm
    Sensors
    2023-09-10 | DOI: 10.3390/s23187780
  3. ETAM: Ensemble transformer with attention modules for detection of small objects
    Expert Systems with Applications
    2023-08 | DOI: 10.1016/j.eswa.2023.119997
  4. Pattern Synthesis of Uniform and Sparse Linear Antenna Array Using Mayfly Algorithm
    IEEE Access
    2021 | DOI: 10.1109/access.2021.3083487
  5. Performance of site diversity fade mitigation over Earth‐to‐space propagation link using rain cell measurements in a tropical Nigeria
    IET Microwaves, Antennas & Propagation
    2017-12 | DOI: 10.1049/iet-map.2017.0432

    Conclusion:

    Romoke Grace Akindele is an exemplary candidate for the Best Researcher Award. Her strong academic background, impressive research contributions, and dedication to continuous learning make her a standout in her field. By addressing her areas for improvement, she can further enhance her impact and contributions to electronic science and technology. Her commitment to innovation and collaboration positions her well for future success in research.