Cha Joowon | Artificial Intelligence | Best Researcher Award

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Mr. Cha Joowon | Artificial Intelligence | Best Researcher Award

Korea Atomic Energy Research Institute | South Korea

Mr. Cha Joowon is a dedicated researcher in the field of artificial intelligence with a particular focus on its application to nuclear energy systems. He is currently part of the Applied Artificial Intelligence Section at the Korea Atomic Energy Research Institute in Daejeon, South Korea, where he contributes to advancing AI-driven solutions for safe and efficient reactor operations. His academic and research journey reflects a strong commitment to combining computer science with nuclear engineering challenges, working on innovative methods to improve decision-making and system reliability within complex technological environments.

Publication Profile

Scopus

Education Background

Mr. Cha Joowon began his academic path in computer engineering at Korea University of Technology and Education, where he developed a strong foundation in computational methods, algorithms, and systems design. After completing his undergraduate studies, he advanced his pursuit of specialized knowledge by enrolling in the integrated M.S.-Ph.D. program at the University of Science and Technology in Daejeon. His focus within this program is artificial intelligence, where he combines theoretical learning with practical applications in the nuclear energy domain, emphasizing innovation in both academic and applied research contexts.

Professional Experience

Building on his academic background, Mr. Cha Joowon joined the Korea Atomic Energy Research Institute in Daejeon, where he works within the Applied Artificial Intelligence Section. His role centers on exploring how artificial intelligence can enhance reactor safety, operational efficiency, and predictive maintenance in nuclear facilities. His current research integrates advanced machine learning and large language models with engineering systems, demonstrating his ability to bridge computational intelligence with real-world industrial applications. This combination of skills reflects both his technical expertise and his ambition to contribute meaningful solutions to complex engineering challenges.

Awards and Honors

While Mr. Cha Joowon is still early in his professional journey, his commitment to excellence and research potential is evident through his academic trajectory and institutional affiliations. His enrollment in a highly competitive integrated doctoral program at the University of Science and Technology highlights his recognition as a promising scholar. Additionally, his affiliation with the Korea Atomic Energy Research Institute places him in an environment of high-level scientific contributions, offering him opportunities to showcase his growing expertise. His ongoing projects signal the potential for future recognition through awards and professional honors.

Research Focus

Mr. Cha Joowon’s research is centered on applying artificial intelligence to nuclear engineering, with particular attention to developing intelligent systems for reactor operation support. His focus includes integrating large language models and advanced computational techniques to enhance operator decision-making, predictive diagnostics, and system optimization. By combining AI innovation with the unique requirements of nuclear technologies, his research aims to provide reliable and practical solutions for the safe and effective operation of reactors. This interdisciplinary approach reflects his dedication to bridging artificial intelligence with one of the most critical areas of energy research.

Publication Notes

  • Large language model agent for nuclear reactor operation assistance
    Published Year: 2025

Conclusion

In summary, Mr. Cha Joowon represents a new generation of researchers working at the intersection of artificial intelligence and nuclear engineering. His academic foundation in computer engineering, advanced studies in AI, and practical contributions at the Korea Atomic Energy Research Institute mark him as an emerging talent with strong potential to shape the future of intelligent nuclear systems. As he continues to publish and contribute to research, his work is expected to influence both academic communities and industrial applications, solidifying his role as a researcher dedicated to innovation and safety in energy technologies.

Assist. Prof. Dr. Joaquim Casaca | Artificial Intelligence | Best Researcher Award

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Assist. Prof. Dr. Joaquim Casaca | Artificial Intelligence | Best Researcher Award

Prof, IADE, European University, Portugal

Joaquim António A. Casaca is an accomplished academic and professional in management, specializing in information security and marketing. He currently serves as an Assistant Professor at IADE, European University, Lisbon. Known for his expertise in management and economics, Joaquim has contributed extensively to research in areas such as entrepreneurial competence, marketing, and information security.

Publication Profile

Scopus

ORCID

🎓 Education Background

Joaquim Casaca holds a PhD in Management (2010) from Universidade Lusíada de Lisboa, with a thesis focusing on information security management in Portuguese SMEs. He earned a Master’s in Management (1999) and an MBA (1997) from ISEG – Lisbon School of Economics and Management, University of Lisbon. Additionally, he completed a Postgraduate degree in Information Sciences and Technologies for Organizations (1996) from ISEG, and holds a BSc in Economics (1982) from the same institution.

💼 Professional Experience

Since 2010, Joaquim has been an Assistant Professor at IADE, European University (Lisbon). Previously, he held academic roles at the University of Lisbon and Lusófona University, and financial positions in notable companies such as PT Multimédia, Portugal Telecom, and Companhia Portuguesa Rádio Marconi. His broad experience spans academia, finance, and management consultancy.

🏆 Awards and Honors

Joaquim received the Banco Espírito Santo Award in 1999 at ISEG for his outstanding Master’s thesis. This recognition highlights his early excellence and research capability in management.

🔍 Research Focus

His research interests center on management, information security, entrepreneurial competence, and marketing. Recent work includes studies on game-based learning’s effect on entrepreneurial skills and the role of neuroscience in economics and marketing. Joaquim’s interdisciplinary approach integrates management theory with emerging technologies and consumer behavior.

🔚 Conclusion

With a strong academic foundation and a versatile professional background, Joaquim A. Casaca is a respected figure in management and information security education. His ongoing contributions advance the understanding of how technology and management intersect in organizational contexts.

📚 Top Publications

  • The effect of game-based learning on the development of entrepreneurial competence among higher education students
    Daniel, A. D., Negre, Y., Casaca, J. A., Patricio, R., & Tsvetcoff, R. (2024). Education + Training.
    DOI: 10.1108/ET-10-2023-0448 — Cited by 3 articles

  • Neuroscience Applied to Economics and Marketing: A bibliometric Review of the Literature
    Casaca, J. A. (2024). International Journal of Business Innovation and Research.
    DOI: 10.1504/ijbir.2024.10066189

  • The determinants of non-consumption of disposable plastic: application of an extended theory of planned behaviour
    Casaca, J. A. (2024). International Journal of Business Environment.
    DOI: 10.1504/IJBE.2024.135693

  • Relational Marketing and Customer Satisfaction: A Systematic Literature Review
    Casaca, J. A. (2023). Estudios Gerenciales.
    DOI: 10.18046/j.estger.2023.169.6218

  • Relationship Marketing and Customer Retention – A Systematic Literature Review
    Casaca, J. A. (2023). Studies in Business and Economics.
    DOI: 10.2478/sbe-2023-0044

 

Prof. Tao Ye | AI Accelerator | Best Researcher Award

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Prof. Tao Ye | AI Accelerator | Best Researcher Award

Prof, The Chinese University of Hong Kong, China

Dr. Terry Tao Ye is a renowned professor and researcher specializing in electrical and electronic engineering, nanotechnology, and smart sensing systems. Currently affiliated with the School of Science and Engineering at The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), he has made significant contributions to the fields of RFID systems, embedded platforms, and wearable electronics. With a rich career spanning academia and industry, Dr. Ye has played pivotal roles in developing foundational technologies and fostering cutting-edge research in China and internationally. 🌏🔬

Publication Profile

Summary of Suitability for Best Researcher Award – Prof. Tao Ye

Dr. Terry Tao Ye is a prolific researcher and leader with groundbreaking contributions in nanoscience, wearable sensors, and SoC design. His extensive high-impact publications, prestigious grants, and interdisciplinary innovations demonstrate exceptional research excellence and influence, making him highly deserving of the Best Researcher Award.

🎓 Education Background

Dr. Ye holds a Ph.D. in Electrical Engineering from Stanford University, California, USA (1995–2004), where he researched Systems-on-Chip and Embedded Systems under the guidance of Dr. Giovanni De Micheli. He earned his B.Eng. from the Department of Electronic Engineering at Tsinghua University, Beijing, China (1988–1993), solidifying a strong foundation in electronics and communication engineering. 📘🎓

💼 Professional Experience

Dr. Ye has held multiple esteemed academic and industrial positions. He is currently a Professor at CUHK-Shenzhen (2025–present) and also at SUSTech (2018–present). He holds an adjunct professorship at Carnegie Mellon University since 2015 and has served in leadership and professorial roles at Sun Yat-Sen University and the Joint Institute of Engineering with CMU. His industry experience includes significant roles at Impinj Inc. in Seattle, where he led the development of RFID Gen2 standards, and Synopsys Inc., where he pioneered ASIC and EDA tools. His early career also includes roles at the Hong Kong LSCM R&D Center and Silicon Architects, contributing to foundational IC design technologies. 🧑‍🏫💻📡

🏅 Awards and Honors

Dr. Ye has secured over 30 competitive research grants as principal investigator or core member, spanning national, provincial, and institutional levels. Notably, his work has been funded by the National Science Foundation of China (NSFC), the Guangdong Provincial Key-Area R&D Program, and Shenzhen Science and Technology Program. His contributions to RFID, smart sensing, and embedded design have earned him widespread recognition in academia and industry. 🏆📑

🔬 Research Focus

Dr. Ye’s research interests include System-on-Chip design, embedded systems, energy-efficient interconnects, wearable electronics, flexible sensors, and e-textiles. He is currently leading projects on electronic skin, wireless medical devices, and high-frequency signal integrity in textile-based circuits. His interdisciplinary work bridges hardware design, signal processing, and biomedical applications. 🧠⚙️📲

🔚 Conclusion

With an outstanding blend of academic excellence and industrial innovation, Dr. Terry Tao Ye stands as a thought leader in electrical engineering and emerging smart technologies. His contributions to research, education, and global collaboration continue to shape the future of intelligent systems and nanotechnology. 🌟📡🔋

📚 Top Publications with Details

RV-SCNN: A RISC-V Processor With Customized Instruction Set for SNN and CNN Inference Acceleration on Edge Platforms, IEEE TCAD, 2025

Cited by: 12

Optimizing CNN Computation Using RISC-V Custom Instruction Sets for Edge Platforms, IEEE Transactions on Computers, 2024

Cited by: 2

Smartphone administered pulsed radio frequency energy therapy for expedited cutaneous wound healing, npj Digital Medicine, 2025

Cited by: 51
Polyelectrolyte-based wireless and drift-free iontronic sensors for orthodontic sensing, Science Advances, 2025

Cited by: 4

Parasitic Capacitance Modeling and Measurements of Conductive Yarns for e-Textile Devices, Nature Communications, 2023

Cited by: 8

Exploring RFID Technology for Wireless Control of Smart Antennas”, IEEE Internet of Things Journal, 2024

Cited by: 24

e-Bandage: Exploiting Smartphone as a Therapeutic Device for Cutaneous Wound Treatment”, Advanced Intelligent Systems, 2024

Cited by: 39