Prof. Jar-Ferr Yang | Machine Learning Awards | Best Researcher Award

Prof. Jar-Ferr Yang, National Cheng Kung University, Taiwan

Jar-Ferr (Kevin) Yang, Ph.D., an IEEE Fellow, is a Distinguished Professor at the Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung University in Tainan, Taiwan. He earned his Ph.D. in Electrical Engineering from the University of Minnesota in 1988 and has since held various academic and administrative positions, including Vice Dean of the Miin Wu School of Computing and Director of multiple research centers focused on ubiquitous computing and multimedia technologies. Dr. Yang has been recognized for his contributions to fast algorithms and efficient realization of video and audio coding, receiving numerous accolades such as the Best Presentation Award and Best Paper Awards at international conferences. He has also served on editorial boards for several prestigious journals and participated in numerous professional activities within the IEEE community. His extensive research and leadership in electrical engineering and computer science continue to impact both academia and industry.

Professional Profile:

SCOPUS

Suitability Summary for Jar-Ferr Ferr Kevin Yang for the Best Researcher Award

Dr. Jar-Ferr Ferr Kevin Yang has demonstrated significant contributions to the field of Electrical Engineering, particularly in the areas of computer and communication engineering. With a robust publication record of 269 documents and over 3,347 citations, his work has garnered substantial recognition within the academic community. His h-index of 27 indicates a solid impact in his field, reflecting both the quantity and quality of his research outputs.

📚 Education

🎓 Ph.D. in Electrical Engineering (1988) – University of Minnesota, USA
🎓 M.S. in Electrical Engineering (1979) – National Taiwan University, Taiwan
🎓 B.S. in Electrical Engineering (1977) – Chung Yuan Christian University, Taiwan

💼 Employment and Related Experiences

🏛️ Distinguished Professor (2004–Present) – Institute of Computer and Communication Engineering, National Cheng Kung University, Taiwan
🏢 Vice Dean (2021–2023) – Miin Wu School of Computing, National Cheng Kung University, Taiwan
🔬 Adjunct Research Fellow (2015–2020) – Office of Science and Technology, Executive Yuan, Taiwan
📊 Director
- TOUCH Center (2012–2019) – National Cheng Kung University
- AR/VR and 3D Multimedia Cross-University Resource Center (2015–2017) – Ministry of Education, Taiwan
📚 Chairperson (2005–2008) – Institute of Computer and Communication Engineering, National Cheng Kung University
🌎 Visiting Scholar (2002) – University of Washington, USA
🏢 Professor and Associate Professor (1988–2004) – Department of Electrical Engineering, National Cheng Kung University, Taiwan
🛠️ Assistant Researcher (1981–1984) – Transmission Research Group, Chung-Hwa Telecommunication Research Laboratories, Taiwan

🏆 Awards and Honors

🏅 IEEE Fellow (2007) – Contributions to fast algorithms and efficient realization of video and audio coding
🏆 Best Paper Awards (Multiple Years: 2015, 2017, 2019) – Recognitions at International Conferences on 3D Systems and Applications
🥇 Golden Medal (2015) – Kwoh-Ting Li Foundation of Science and Literature
🎖️ Outstanding Electrical Engineering Professor Award (2010) – Chinese Institute of Electrical Engineering, Taiwan
🌟 Excellent Research Awards (1998–2004) – National Science Council, Taiwan (Consecutive years)
🏅 Best Industrial Cooperation Professor Award (2011, 2014) – National Cheng Kung University
🏆 Best Presentation and Technical Awards (2020, 2016) – Recognitions for Intelligent Information Processing and Circuit Systems

Publication Top Notes:

CTDP Depacking with Guided Depth Upsampling Networks for Realization of Multiview 3D Video

Enhancing Fan Engagement in a 5G Stadium With AI-Based Technologies and Live Streaming

An image-guided network for depth edge enhancement

Improved vehicle detection systems with double-layer LSTM modules

Improved quadruple sparse census transform and adaptive multi-shape aggregation algorithms for precise stereo matching

Convolutional Layers Acceleration By Exploring Optimal Filter Structures

Assist. Prof. Dr. Dumitru Radulescu, University of Medicine and Pharmacy Craiova (UMF Craiova), Romania

Dumitru Rădulescu, is a distinguished medical professional and researcher specializing in surgery and medical sciences. He earned his Bachelor’s degree in Medicine from UMF Craiova in 2009, followed by a Doctor of Medical Sciences degree, which he obtained in 2020 under the auspices of the Romanian Ministry of Health. Dr. Rădulescu’s academic journey is marked by his receipt of a competitive doctoral scholarship, highlighting his commitment to advancing his expertise in the medical field. Currently serving as a Specialist Surgeon at the Military Emergency Clinical Hospital “Dr. Ştefan Odobleja” in Craiova, he has accumulated extensive clinical experience through various residency programs in family medicine and general surgery. His professional roles include positions as a University Assistant at UMF Craiova, where he contributes to the education of future healthcare professionals in surgical specialties.

Summary of Suitability for the Top Researcher Award

Dumitru Rădulescu is an accomplished researcher and specialist surgeon whose academic and professional journey highlights his commitment to advancing medical sciences, particularly in the areas of surgery and diagnostics. His education culminated in a Doctor of Medical Sciences degree from UMF Craiova, where he also received a doctoral scholarship, showcasing his academic excellence and dedication to research.

Professional Experience 🏥

Current Position:
University Assistant, Military Emergency Clinical Hospital “Dr. Ştefan Odobleja,” Craiova
2022 – Present

Previous Positions:

University Assistant DRD, Department VI – Surgical Specialties (2018 – 2021)
General Surgery Resident, Clinic I Surgery SCJU no.1 Craiova (2013 – 2018)
Family Medicine Resident, Filantropia Clinical Hospital Craiova (2010 – 2012)

Research Contributions 🔬

Dr. Rădulescu is a dedicated researcher who recently received a grant for his project titled:
“Discovery and validation of a new leukocyte formula marker for predicting mortality in patients with tuberculosis and malnutrition using machine learning.” 🤖
This project highlights his commitment to leveraging modern technology in medical research to address critical health issues.

Publication Top Notes

Enhancing the Understanding of Abdominal Trauma During the COVID-19 Pandemic Through Co-Occurrence Analysis and Machine Learning

Cardiovascular and Neurological Diseases and Association with Helicobacter Pylori Infection—An Overview

Interactions between Cognitive, Affective, and Respiratory Profiles in Chronic Respiratory Disorders: A Cluster Analysis Approach

Oxidative Stress in Military Missions—Impact and Management Strategies: A Narrative

Analysis

The Impact of the COVID-19 Pandemic on Outcomes in Acute Pancreatitis: A Propensity Score Matched Study Comparing before and during the Pandemic