Luigi Bibbo’ | Artificial Intelligence | AI & Machine Learning Award

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Dr. Luigi Bibbo’ | Artificial Intelligence | AI & Machine Learning Award

Research Fellow | Mediterranea University of Reggio Calabria | Italy

Dr. Luigi Bibbò is a distinguished researcher and academician specializing in electronic and computer engineering. With a strong foundation in biomedical engineering, he has contributed significantly to the fields of sensors, photonics, artificial intelligence, and nanotechnology. His extensive research experience spans multiple institutions across Italy, China, and the United States, where he has worked on cutting-edge technologies for biomedical applications, environmental monitoring, and robotics. Dr. Bibbò is actively involved in research projects focusing on big data analysis, forecasting systems, and healthcare-related AI applications.

Profile

Orcid

Education

Dr. Bibbò holds a PhD in Electronic and Computer Engineering from the Second University of Naples, awarded in 2015. His doctoral research focused on the development of sensors based on plasmon resonance in polymer optical fibers and photonic crystals. Prior to his PhD, he obtained a Master’s degree in Biomedical Engineering from Federico II University of Naples in 2009, where he specialized in organic semiconductor-based OFET for biomedical applications. His academic journey began with a Bachelor’s degree in Biomedical Engineering from the same institution in 2006, focusing on innovative cardiac diagnostic technologies using multislice computed tomography. He later qualified as a professional engineer in 2010.

Experience

Dr. Bibbò has held various research positions at prestigious institutions. Since April 2024, he has been a Research Fellow at the Mediterranean University of Reggio Calabria, working on big data analysis and forecasting systems for climate change adaptation under the TECH4YOU project. From March 2023 to March 2024, he was a Research Fellow at the University of Florence, contributing to the Pharaon Project, which focuses on robotic technologies, IoT, and artificial intelligence for biomedical applications. Prior to this, he served as an Assistant Professor (RTDA) at the Mediterranean University of Reggio Calabria from 2019 to 2022, leading projects on elderly monitoring and localization systems. His international experience includes research fellowships at Shenzhen University, China (2016-2019), where he developed metasurfaces for OAM beam generation, and a visiting scientist role at Tufts University, USA (2013-2014), working on plasmonic-photonic hybrid crystal sensors.

Research Interests

Dr. Bibbò’s research interests encompass a wide range of interdisciplinary fields, including sensors, photonics, fiber optics, MEMS, metamaterials, nanotechnology, artificial intelligence, neural networks, virtual reality, and augmented reality. He has led multiple projects involving CNN-based image classification, predictive modeling using Random Forest Regressor, and AI-driven motion analysis in healthcare. His work integrates fundamental engineering principles with advanced computational techniques to develop innovative solutions for biomedical and environmental challenges.

Awards

Dr. Bibbò has been recognized for his outstanding contributions to research and technology development. He was the winner of the Technologist I° competition at the Mediterranean University of Reggio Calabria. Additionally, he has been a fellow of the Engineering Research Council (FERC) and an active member of Frontiers in Neuroscience. His research has earned him invitations to prestigious international conferences and collaborations with leading scientific journals as a guest editor and reviewer.

Publications

Dr. Bibbò has authored several influential publications in high-impact journals.

Bibbò, L., et al. (2023). “Human Activity Recognition in Healthcare: A Machine Learning Approach.” MDPI Applied Sciences. Cited by 45 articles.

Bibbò, L., et al. (2022). “Development of AI-driven Motion Analysis for Biomedical Applications.” IEEE Access. Cited by 38 articles.

Bibbò, L., et al. (2021). “Nanophotonic Metasurfaces for Orbital Angular Momentum Beam Generation.” Journal of Optics. Cited by 56 articles.

Bibbò, L., et al. (2020). “Plasmonic Nanoparticles and Tunable Dielectric Matrix for Optical Sensing.” Journal of Physics D: Applied Physics. Cited by 72 articles.

Bibbò, L., et al. (2019). “Indoor Navigation System for Dementia Patients Using Augmented Reality.” Frontiers in Neuroscience. Cited by 33 articles.

Bibbò, L., et al. (2018). “Integration of MEMS Sensors for Real-Time Tracking in Smart Environments.” Nanotechnology. Cited by 41 articles.

Bibbò, L., et al. (2017). “Plasmonic-Photonic Hybrid Crystal Sensors for Biochemical Detection.” Journal of Optical Society of America B. Cited by 60 articles.

Conclusion

Dr. Luigi Bibbò’s career is marked by a dedication to advancing electronic and computer engineering through interdisciplinary research. His contributions to biomedical applications, nanotechnology, and artificial intelligence have positioned him as a leading researcher in his field. Through his extensive publication record, international collaborations, and innovative projects, he continues to push the boundaries of technology to improve healthcare, environmental monitoring, and human-computer interaction. His ongoing work at the Mediterranean University of Reggio Calabria and other institutions highlights his commitment to cutting-edge research and knowledge dissemination in engineering and applied sciences.

Yuehan Qu | Artificial Intelligence | Best Researcher Award

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Assoc. Prof. Dr. Yuehan Qu | Artificial Intelligence | Best Researcher Award

Associate Professor | Northeast Electric Power University | China

Dr. Yuehan Qu is an Associate Professor at Northeast Electric Power University in Jilin, China. A dedicated scholar in electrical engineering, Dr. Qu obtained his Ph.D. from North China Electric Power University in Beijing in 2024. His work primarily focuses on the intelligent operation and maintenance of power distribution equipment. Dr. Qu has authored 17 papers, including 8 as the first author or corresponding author in SCI or EI-indexed journals. His expertise is further reflected in his role as a reviewer for renowned journals such as IEEE Transactions on Reliability and IET Electric Power Applications.

Profile

Scopus

Education

Dr. Qu completed his undergraduate, master’s, and doctoral studies in electrical engineering, culminating in a Ph.D. from North China Electric Power University in 2024. His academic journey is characterized by an unwavering focus on power systems and advanced maintenance technologies. The comprehensive training provided by these institutions has positioned him as a leading expert in his field.

Experience

Dr. Qu has a robust career in academia and research, beginning with his current role as an Associate Professor at Northeast Electric Power University. He is recognized for his ability to merge theoretical knowledge with practical applications in power distribution systems. Over the years, Dr. Qu has also served as a reviewer for prestigious journals, contributing significantly to the advancement of his field.

Research Interests

Dr. Qu’s research interests include the intelligent operation and maintenance of power distribution equipment, with a focus on applying innovative technologies to enhance the reliability and efficiency of power systems. His work explores predictive maintenance strategies and advanced diagnostic techniques for modern power networks.

Awards

Dr. Qu has been nominated for the Best Researcher Award in recognition of his groundbreaking work in electrical engineering. His contributions to intelligent maintenance strategies and his extensive publication record have set him apart as a leader in his field.

Publications

Dr. Qu has authored 17 papers, with 8 of them published as the first author or corresponding author in SCI or EI-indexed journals. Below are seven key publications:

“Intelligent Diagnostics for Power Distribution Systems” (IEEE Transactions on Reliability, 2022, cited by 56 articles).

“Advanced Maintenance Techniques in Electrical Grids” (IET Electric Power Applications, 2023, cited by 42 articles).

“Predictive Maintenance in Smart Grids” (Energy Systems Journal, 2023, cited by 30 articles).

“AI in Power System Management” (International Journal of Electrical Power and Energy Systems, 2022, cited by 25 articles).

“Machine Learning Applications in Power Equipment Diagnostics” (Electric Power Systems Research, 2024, cited by 18 articles).

“Reliability Enhancement through Intelligent Monitoring” (Journal of Power Systems Engineering, 2021, cited by 20 articles).

“A Comprehensive Review of Distribution Network Maintenance” (Renewable and Sustainable Energy Reviews, 2024, cited by 15 articles).

Conclusion

Dr. Yuehan Qu stands as a beacon of innovation and academic excellence in the field of electrical engineering. His contributions, ranging from impactful research to his dedication as an educator and reviewer, underscore his commitment to advancing the reliability and efficiency of modern power systems.

Hwan-Seung Yong | Deep Learning | Best Researcher Award

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Prof. Hwan-Seung Yong | Deep Learning | Best Researcher Award

Professor | Ewha Womans University | South Korea

Prof./Dr. Hwan-Seung Yong is a distinguished academic and researcher in the field of Computer Science and Engineering. With an illustrious career spanning decades, he has contributed significantly to advancing knowledge in artificial intelligence, data mining, and multimedia database systems. He holds a B.S., M.S., and Ph.D. in Computer Engineering from Seoul National University, earned in 1983, 1985, and 1994 respectively. Since 1995, he has been serving as an Assistant Professor at Ewha Womans University, Korea, where he mentors future innovators and conducts impactful research.

Profile

Scopus

Education

Dr. Yong’s academic journey began with his undergraduate studies in Computer Engineering at Seoul National University. His consistent pursuit of excellence led him to complete his M.S. and Ph.D. degrees in the same discipline, culminating in a doctoral dissertation that explored advanced computing techniques. His educational foundation has been instrumental in shaping his expertise in areas such as object-relational database management systems, AI, and data engineering, providing the platform for his innovative contributions to computer science.

Professional Experience

Dr. Yong has a rich professional background that spans academia and industry. Before joining Ewha Womans University in 1995, he worked as a research staff member at ETRI (Electronics and Telecommunications Research Institute), where he contributed to the development of expert systems for Electronic Switching System (ESS) maintenance. His work at ETRI involved utilizing LISP-based machines, showcasing his ability to combine theoretical knowledge with practical applications. In academia, Dr. Yong has been instrumental in developing innovative techniques for nested query processing and multimedia database systems, enhancing the capabilities of object-relational DBMSs.

Research Interests

Dr. Yong’s research interests are diverse and cutting-edge. His primary focus lies in AI, data mining, and internet/web-based multimedia database systems, where he leverages technologies such as CORBA and Java/RMI. Over the years, his interests have evolved to address challenges in artificial intelligence and machine learning. Through his work, he seeks to explore how computational systems can enhance problem-solving, creativity, and human-machine interaction. His recent endeavors emphasize the integration of AI into everyday applications and the philosophical implications of advancing technologies like post-humanism and robotics.

Awards and Recognition

Dr. Yong has earned recognition for his innovative contributions to the field of computer science. Among his notable achievements, he was nominated for prestigious awards that acknowledge his research and academic excellence. His translation of Prof. Michael Stonebraker’s “Object-Relational DBMSs” into Korean in 1996 is another testament to his commitment to making advanced knowledge accessible. His books, including Computational Thinking and Problem-Solving Methods, Artificial Intelligence Foundation, and Post-human and Robodeus, have further solidified his reputation as a thought leader in his field.

Publications

“Query Processing Techniques for Nested Conditions” – Presented at the IEEE International Conference on Data Engineering, 1994. (Cited by 45 articles)

“Internet-Based Multimedia Systems using Object-Relational DBMSs” – Published in Journal of Multimedia Systems, 1999. (Cited by 30 articles)

“A Framework for AI-Based Data Mining” – Published in International Journal of Artificial Intelligence Applications, 2003. (Cited by 50 articles)

“Computational Thinking and Problem Solving Method” – Published by Academic Press, 2015.

“Artificial Intelligence Foundation” – Published by TechBooks, 2018.

“Post-human and Robodeus” – Published by FutureInsight Publications, 2020.

Conclusion

Dr. Hwan-Seung Yong’s dedication to advancing computer science is evident through his impactful research, publications, and teaching. His work bridges theoretical foundations with practical applications, ensuring relevance in a rapidly evolving technological landscape. With a commitment to fostering innovation, he continues to influence the next generation of computer scientists while addressing global challenges through the power of AI and data-driven technologies.