Assoc Prof Dr Jiann-Jone Chen, National Taiwan University of Science and Technology, Taiwan
Jiann-Jone Chen, Ph.D., is a distinguished scholar in electronic engineering, specializing in image and video processing, cloud computation, and deep learning. Dr. Chen earned his Ph.D. from National Chiao-Tung University in 1997 and has since made significant contributions to his field. He currently serves as an Associate Professor in the Electrical Engineering Department at National Taiwan University of Science and Technology, where he has been a faculty member since 2002. Dr. Chen’s research has been widely published in prestigious journals, and he has been recognized with numerous awards, including the Best Journal Paper by the Cloud Computing & IoT Association in Taiwan and the Excellent Paper Award at the International Conference on Consumer Electronics. His innovative work in video coding and retrieval systems has garnered international acclaim, cementing his reputation as a leader in his field.
Publication Profile
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Evaluation of Jiann-Jone Chen, Ph.D. for the Best Researcher Award
Strengths for the Award
- Extensive Academic and Research Experience: Dr. Chen has a solid academic career spanning over two decades at the National Taiwan University of Science and Technology. His long-term dedication to education and research demonstrates his commitment and expertise.
- Notable Publications: Dr. Chen has an impressive portfolio of published work in esteemed journals and conference proceedings. His research includes numerous papers on advanced topics such as H.266/VVC intra-coding, cloud image retrieval systems, and video coding, showcasing his contributions to cutting-edge technological advancements.
- Interdisciplinary Research: His work spans various areas including image and video coding, cloud computation, and deep learning, reflecting his ability to integrate multiple disciplines and drive innovation.
- Recognition and Awards: Dr. Chen has received multiple accolades for his research, including Best Journal Paper from the Cloud Computing & IoT Association in Taiwan (2022), Best Paper Awards from Taiwan Academic Network Conference (2022), and several other awards over the years. These awards highlight the impact and quality of his research contributions.
- International Collaboration: His experience as a visiting scientist at MIT’s AI Labs indicates his engagement with international research communities and his ability to collaborate on a global scale.
Areas for Improvement
- Research Funding and Grants: There is no mention of research funding or grants in Dr. Chen’s profile. Securing grants is often a key indicator of a researcher’s ability to lead and sustain impactful research projects. Highlighting such achievements could strengthen his profile.
- Industry Collaboration: While Dr. Chen has experience in research institutions, additional emphasis on collaborations with industry partners could showcase the practical applications and commercial impact of his research.
- Mentorship and Student Development: More information on his role in mentoring students and developing the next generation of researchers would provide a fuller picture of his contributions to academia and his leadership qualities.
Education
Dr. Jiann-Jone Chen’s academic journey is marked by his dedication to electrical engineering. He obtained his Ph.D. in Electronic Engineering from National Chiao-Tung University in Hsinchu, Taiwan, in 1997. Prior to his doctoral studies, Dr. Chen earned his M.S. in Electrical Engineering from National Cheng-Kung University in Tainan, Taiwan, in 1991. His foundational education began with a B.S. in Electrical Engineering, also from National Cheng-Kung University, which he completed in 1989. Throughout his educational career, Dr. Chen demonstrated a strong commitment to advancing his knowledge and expertise in electronic engineering, particularly in the areas of image and video processing, cloud computation, and deep learning. His rigorous academic training has been instrumental in his subsequent research and professional achievements.
Experience
Dr. Jiann-Jone Chen has an extensive and varied professional background in electronic engineering. He has been an Associate Professor in the Electrical Engineering Department at National Taiwan University of Science and Technology since August 2011, following a tenure as an Assistant Professor at the same institution from 2002 to 2011. Dr. Chen’s industry experience includes his role as a Researcher at the Advanced Technology Center of the Industrial Technology Research Institute from 1999 to 2002. He also had a brief stint as a Visiting Scientist at the AI Labs of the Massachusetts Institute of Technology in 2000. Early in his career, he conducted postdoctoral research at the Multimedia Communications Lab of National Chiao-Tung University. These diverse roles have equipped Dr. Chen with a broad perspective and deep expertise in his field, enabling him to make significant contributions to both academia and industry.
Awards and Honors
Dr. Jiann-Jone Chen has been recognized for his outstanding contributions to electronic engineering with several prestigious awards. In 2022, he received the Best Journal Paper award from the Cloud Computing & IoT Association in Taiwan, and the Best Paper Award at the Taiwan Academic Network Conference (TANET). In 2021, he was honored with the Excellent Paper Award at the International Conference on Consumer Electronics and secured the First Prize in the National Vocational and Technical College Project Competition in the Electrical Engineering Group. In 2017, he was awarded the Best Paper Award at the National Computer Symposium. These accolades reflect Dr. Chen’s commitment to excellence in research and his ability to produce high-impact work that advances the field of electronic engineering.
Research Focus
Dr. Jiann-Jone Chen’s research interests are centered around image and video coding, cloud computation, image indexing, and deep learning for image and video processing. His work primarily focuses on developing advanced algorithms and models that enhance the efficiency and effectiveness of video coding and retrieval systems. Dr. Chen’s research has led to significant advancements in the field, particularly in the areas of H.266/VVC intra-coding, complexity-aware schedulers for cloud video transcoding, and real-time object location systems using passive RFID tags. His innovative approaches have been widely published and cited, contributing to the development of cutting-edge technologies in multimedia communication. Dr. Chen continues to explore new frontiers in his research, aiming to address complex challenges and improve the performance of multimedia systems.
Publication Top Notes
📘Source model for transform video coder and its application. I. Fundamental theory
📘 A DCT/DST-based error propagation-free data hiding algorithm for HEVC intra-coded frames
📘 Optimal bit allocation for coding of video signals over ATM networks
📘 Source model for transform video coder and its application. II. Variable frame rate coding
📘Object segmentation of database images by dual multiscale morphological reconstructions and retrieval applications
📘 New approach for static gesture recognition