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.

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.

💼 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

Dr. Tesfay Gidey | Machine Learning Awards | Best Researcher Award

Dr. Tesfay Gidey, Addis Ababa Science and Technology University, Ethiopia

Tesfay Gidey Hailu is a distinguished Information and Communication Engineer and data scientist with a strong foundation in computer science, software engineering, data analytics, and machine learning. Holding a Ph.D. in Information and Communication Engineering from the University of Electronic Science and Technology of China, Tesfay specializes in advanced signal processing, indoor localization, information fusion, and health datasets. His expertise spans multiple programming languages, including Python, C++, SQL, and Java, as well as advanced statistical tools like SAS and R, which he uses to derive data-driven insights and support strategic decision-making in technology projects. Tesfay’s career includes notable leadership roles, such as Associate Dean for Research and Technology Transfer at Addis Ababa Science and Technology University (AASTU) and Head of Department at Jimma University. His work in academia has focused on curriculum development, student recruitment and retention, and faculty management, showcasing his commitment to fostering educational excellence. Additionally, Tesfay holds an M.Sc. in Software Engineering and an M.Sc. in Health Informatics and Biostatistics, underscoring his multidisciplinary expertise. With a deep commitment to problem-solving and continuous learning, Tesfay is adept at leveraging data and technology to drive impactful results across both academic and industry settings.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award for Tesfay Gidey Hailu

Overview: Tesfay Gidey Hailu is an accomplished Information and Communication Engineer, specializing in computer science, data science, and software engineering with extensive experience in machine learning, data structure, algorithm analysis, and business analytics. He holds a Ph.D. in Information and Communication Engineering, has published several journal articles, and serves as a journal reviewer for prestigious journals. His broad expertise and impactful contributions make him a strong candidate for the Best Researcher Award.

🎓 Education:

Ph.D. in Information and Communication Engineering (2023)
University of Electronic Science and Technology of China
Specialized in digital signal processing and information systems, with research in indoor positioning using machine learning algorithms.
MSc in Software Engineering (2018)
HILCOE School of Computer Science and Information Technology
Completed advanced courses in requirement engineering, project management, and software security.
MSc in Health Informatics and Biostatistics (2013)
College of Health Sciences, Mekelle University
Focused on health informatics, biostatistics, epidemiology, and public health project management.

Work Experience

Associate Dean for Research and Technology Transfer
- Institution: AASTU, Addis Ababa, College of Natural and Social Sciences
- Duration: 2017-2019
- Responsibilities: Initiated quality improvement initiatives for manufacturing industries, faculty recruitment, supervised admissions, student recruitment, and conducted industry-related research.
Associate Dean, Interdisciplinary Programs Directorate
- Institution: AASTU, Addis Ababa
- Duration: 2015-2016
- Responsibilities: Managed student services and retention, supervised curriculum quality initiatives, admissions, and presented research findings.
Head of Department
- Institution: Jimma University, Jimma
- Duration: 2008-2009
- Responsibilities: Led department meetings, evaluated performance, streamlined operations to enhance student satisfaction.
Coordinator, Community-Based Training Program (CBTP)
- Institution: Jimma University, Faculty of Natural and Information Sciences Extension Division
- Duration: 2007-2008
- Responsibilities: Oversaw the CBTP initiative, focusing on community-based training programs.

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

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

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

Professional Profile:

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

📚 Education

💼 Employment and Related Experiences