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

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

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.

πŸ“š Education

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

πŸ’Ό Employment and Related Experiences

  • πŸ›οΈ 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
  • πŸ”¬ Adjunct Research Fellow (2015–2020) – Office of Science and Technology, Executive Yuan, Taiwan
  • πŸ“Š Director
    • TOUCH Center (2012–2019) – National Cheng Kung University
    • AR/VR and 3D Multimedia Cross-University Resource Center (2015–2017) – Ministry of Education, Taiwan
  • πŸ“š 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
  • πŸ› οΈ Assistant Researcher (1981–1984) – Transmission Research Group, Chung-Hwa Telecommunication Research Laboratories, Taiwan

πŸ† Awards and Honors

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

PublicationΒ 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