APSIPA Industrial Governance Board
Chair - VP of Industrial Relations and Development
Chris Gwo Giun Lee, National Cheng Kung University (Chair)
Past-Chair - VP of Industrial Relations and Development
Seishi Takamura(2020-2024), NTT, Japan (Chair)
Guan-Ming Su(2018-2019), Dolby Labs, USA (Chair)
Shan Liu(2016-2017), Tencent America, USA (Chair)
Haohong Wang(2014-2015), General Manager, TCL Research America (Chair)
Deputy Chair - VP of Industrial Relations and Development
Ning Xu, Kuaishou US R&D Center, USA (Deputy Chair)
Industrial Publication Committee
Toshihiko Sugie, Hokkaido University, Japan (Chair)
Karthika Vijayan, Solution Consultant at Sahaj Software, Pune, India
Pei-Yun Tsai, National Taiwan University, Taiwan
Guan-Ming Su, Dolby
Trio Adiono, Institut Teknologi Bandung , Indonesia
Industrial Forum Committee
Zhou Ren, Wormpex AI Research, USA (Chair)
Kong Aik Lee, Agency for Science Technology and Research (A*STAR), Singapore
Cheng-Kuang Lee, NVIDIA, Taiwan
Sunil Sivadas, NCS CorpLabs, Singapore
Yotaro Kubo, Shanaka AI, Japan
Hao Wu, Shenzhen Ninenovo Technology and RingConn LLC, China
Yusen Eason Lin, Founder & CEO, Wellgen Medical, Co., LTD. Taiwan
Industrial Membership Committee
Jeng-Long Chiang, TIARA/ITRI, Taiwan (Chair)
Yohei Kawaguchi, Hitachi, Japan
Jianquan Liu, NEC, Japan
Kai-Lung Hua, Microsoft, Taiwan
Yi-Wei Huang, Realtek, Taiwan
Lam Trinh, Synosys, Vietnam
Joegianto Joegianto, Polytron, Indonesia
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APSIPA
Industrial Distinguished Leader Program
The
APSIPA Industrial Distinguished Leader is a distinction reserved for selected
APSIPA members (or potential members) whose extraordinary accomplishments in any
of the fields related to APSIPA scope are deemed fitting of this prestigious recognition.
The Distinguished Leader nomination and election process conducts twice a year,
for more details please refer to the guideline
and nomination
form.
Year 2023 Fall APSIPA Industrial Distinguished Leaders
1. Stefan Winkler, AICS Research Director, National University of Singapore
2. Serhad Doken, ADEIA CTO
Year 2023 Spring APSIPA Industrial Distinguished Leaders
1. Zicheng Liu, partner research manager, Microsoft Azure AI
Year 2022 Fall APSIPA Industrial Distinguished Leaders
1. Yanzhi Wang, Northeastern University, Chairman and former CEO of CoCoPIE Inc., USA
2. Shuhao Wang, Co-founder and CTO of Thorough Future
Year 2022 Spring APSIPA Industrial Distinguished Leaders
1. Xiaoyu Wang, Cofounder & Chief Scientist, Intellifusion Technologies
Year 2021 Fall APSIPA Industrial Distinguished Leaders
1. Mr. Chia-Yung Su, CTO/Co-Founder, Appier
2. Dr. Gerard Medioni, VP/Distinguished Scientist, Amazon
3. Dr. Jinyu Li, Partner Applied Scientist, Microsoft
Year 2021 Spring APSIPA Industrial Distinguished Leaders
1. Dr. Pengfei Xia, Principal Engineer, Amazon
2. Dr. Ching-Yung Lin, CEO, Graphen / Adj. Prof. Columbia University
3. Dr. Shingo Tsukada, NTT Fellow, NTT
Year 2020 Fall APSIPA Industrial Distinguished Leaders
1. Dr Joe Yeh, Co-Founder & CEO aetherAI Co., Ltd
Year 2020 Spring APSIPA Industrial Distinguished Leaders
1. Yuichi Nakamura, VP, Executive Specialist, NEC
2. Danilo Pau, Technical Director, STMicroelectronics
3. Yu Huang, VP of Technology, Autonomous Driving Research, Blacksesame Technology Inc.
4. Xuejing Sun, CEO, Twirling Technologies
5. Hitoshi Imaoka, NEC Fellow, NEC
Year 2019 Fall APSIPA Industrial Distinguished Leaders
1. Dr. Wei-Chao Chen, Co-founder and Chairman, Skywatch
Year 2019 Spring APSIPA Industrial Distinguished Leaders
1. Tao Mei, Deputy Managing Director, JD AI Research
2. Ali Tabatabai, VP, Sony
3. Aldo Badano, Senior Biomedical Researcher, US Food and Drug Administration
4. Yeong-Taeg Kim, Samsung Electronics
Year 2018 Fall APSIPA Industrial Distinguished Leaders
1. Wenjun Zeng, Sr. Principal Research Manager, Microsoft Research Asia
2. Yunqu Leon Liu, President, Viscore Technologies
3. Qingxiong Yang, CEO, MoonX
4. Bowen Zhou, VP, JD.com
Year 2018 Spring APSIPA Industrial Distinguished Leaders
1. Jing Xiao, Chief Scientist, PingAn Insurance Group
2. Jianle Chen, VP, America Media Lab of Huawei Technologies
3. Samir N. Hulyalkar, VP, Dolby Labs
4. Jungwon Lee, VP, Samsung SoC Lab
5. Shan Liu, VP and General Manager, Tencent Media Lab
Year 2017 Fall APSIPA Industrial Distinguished Leaders
1. Naonori Ueda, NTT Fellow, NTT
2. James Bankoski, Director, Google
3. Amir Said, Principal Engineer, Qualcomm
4. Chung-Sheng Li, Global Research Managing Director, Accenture Operations
5. Akihiko Sugiyama, Research Fellow, NEC
6. Kar-Han Tan, VP, Novumind
Year 2017 APSIPA Industrial Distinguished Leaders
Chandrakant Patel, Senior Fellow and Chief Engineer, Hewlett Packard
Chien-Ping Lu, VP Engineering, Novumind Inc.
Charlie Zhang, VP,
Samsung Research America
Haohong Wang, General Manager, TCL Research
America
Yong Rui, Sr. VP and CTO, Lenovo
David Stork, Rambus
Fellow, Rambus Inc.
Year 2016 APSIPA Industrial Distinguished Leaders
Bo
Begole, VP, Global Head of Media Technologies Lab, Huawei R&D, USA
Achin Bhowmik, VP and General Manager, Perceptual Computing Group, Intel Corporation
Chih-Lin I, Chief Scientist of Wireless Technologies, China Mobile Research
Institute, CMCC
Takehiro Moriya, Research Fellow & Direcor, NTT
Fellow, Moriya Research Lab
Anthony Vetro, Director and IEEE fellow,
Mitsubishi Electric Research Laboratories
Year 2015 APSIPA Industrial
Distinguished Leaders
Chung-Min Chen, VP, Telcordia, USA
Lawrance
Loh, President, MediaTek USA Inc., USA
Nikhil Balram, President
& CEO, Ricoh Innovations, USA
Yasunori Mochizuki, VP, NEC, Japan
Yi Hao, CEO, GWC, China
Year
2014 APSIPA Industrial Distinguished Leaders
Byung K. Yi, EVP &
CTO, InterDigtial, USA
C. C. Lee, SVP, Sony, USA
Li Deng, Partner
Research Manager, Microsoft, USA (IEEE Fellow)
Kevin Jou, VP &
CTO, MediaTek, Taiwan
Sherman (Xuemin) Chen, VP, Broadcom, USA (IEEE
Fellow)
Steve Simske, HP Fellow and Chief Technologist, HP, USA
Shawmin Lei, VP, MediaTek, Taiwan (IEEE Fellow)
Tomohiko Taniguchi,
Principal, Fujitsu, Japan (IEEE Fellow) Top
Bios of Board Chair and 3 Committee Chairs:
Chris Gwo Giun Lee, National Cheng Kung University Chris Gwo Giun Lee is an investigator in signal processing systems for multimedia and bioinformatics. His work on analytics of algorithm concurrently with architecture, Algorithm/Architecture Co-Design (AAC), has made possible accurate and efficient computations on SoC, cloud and edge including Digital Health. He is currently using AI to Design AI and is also enabling accessible health and wellness via AI Humanity. Chrisˇ¦ work have contributed to 130+ original research and technical publications with the invention of 50+ patents worldwide. His AAC work was used by the industry in deploying more than 60 million LCD panels worldwide. Two of these patents were also licensed by US health industry for development of analytics platform based precision medicine products (Boston, MA, June 1, 2015, GLOBE NEWSWIRE). Chrisˇ¦ AAC work has also been pivotal in delivering feasible and realistic international standards, including 3D extension of HEVC and Reconfigurable Video Coding in ISO/IEC/MPEG, for applications requiring processing of big multimedia data. His low-complexity 3D video coding technology was also included in MPEG. ? Chris worked for Philips Semiconductor as a system architect and project leader in the Silicon Valley.? He was recruited to National Cheng Kung University in 2003. He has been conducting multidisciplinary research having collaborations with: IBM TJ Watson Research Center on Cloud/Reconfigurable Computing; Banner Alzheimer Institute on Intelligent Health; National Center for High-performance Computing, National Research Laboratory, Taiwan on medical image Analytics; National Taiwan University on Harmonically Generated Microscopy Medical Image Processing; and National Cheng Kung University Medical Center, Kaoshiung Medical University Center on telehealth. He is currently working with Google on Silicon AI and Cadence on High Level Synthesis. Chris received his B.S. degree in electrical engineering from National Taiwan University, and M.S. and Ph.D. degrees in electrical engineering from?the?University of Massachusetts. He served as the AE for IEEE TSP (2016 ~ 2020) and Journal of Signal Processing Systems from 2010 till now. He was formerly the AE for IEEE TCSVT (2009 ~ 2014) for which he received the Best Associate Editorˇ¦s Award in 2011. Chris is the IEEE CASS Distinguished Lecturer from 2019 to 2021. Having served as ExCom Member for IEEE Region 10 starting 2017, he also chaired the Industry Relations Committee from 2019 to 2020. He is currently the Awards Recognition Committee Chair. Chris served as APSIPAˇ¦s Deputy VP of IRD from 2020 to 202, Special Session Co-Chair, APSIPA 2018, TPC Co-Chair, APSIPA 2017, and Chair for APSIPA SPS-TC from 2015-2016 with establishment of sub-committees. He also established APSIPA Taiwan Chapter since May, 2020. Chris is the founder and CTO for CogniNU Technologies.
Ning Xu, Kuaishou US R&D Center, USA Ning Xu is currently a Chief Scientist of Video Algorithms and head of the Lab of Advanced Image/Video Algorithms at Kuaishou US R&D Center. Before that, he was a Principal Applied Scientist at Amazon Go and a Principal Research Scientist and Manager at Snap Research. Prior to joining Snapchat, he has been working with Dolby Laboratories, Inc. and Samsung Research America. Dr. Ning Xu obtained his Ph.D. degree in Electrical Engineering from the University of Illinois at Urbana-Champaign. Dr. Ning Xu co-authored 100+ journal and conference papers, patents and patent applications. His research interests include image and video processing, computer vision, deep learning, audio/speech, and other related areas. He is a senior member of IEEE.
Toshihiko Sugie, Hokkaido University, Japan Toshihiko Sugie is an adviser to the Institute for the Promotion of Business-Regional Collaboration of Hokkaido University, Japan. Before that, he was a Senior Technology Strategist of NTT Electronics Corporation, Japan, where he focused on Optical network/device, Optical Access, and Future Information and Communication Technologies. Prior to this, he had been with Nippon Telegram and Telephone Corporation (NTT), where engaged in research and development of optical transmission systems, and optical modules/devices, especially access network systems (Fiber to the Home - FTTH), wavelength multiplexing technologies (WDM), and next generation network architecture. He received the B.S., M.S. and Dr. Eng. degrees in electronics engineering from Hokkaido University, Sapporo, Japan, in 1977, 1979, and 1986, respectively. He is a Life Senior member of IEEE, Photonics and Communications Society. And he is also the Institute of Electrics, Information, and Communication Engineers (IEICE) of Japan. He received the 1984 Paper Award, the 1986 Young Engineer Award, from the IEICE, and the 4th NTT Presidentˇ¦s Award 1988.
Zhou Ren, Wormpex AI Research, USA Dr. Zhou Ren is currently a Principal Research Manager at Wormpex AI Research. Prior to joining Wormpex AI Research, he has been working at Snap Inc. as a Senior Research Scientist. Dr. Zhou Ren has co-authored 50+ journal, conference papers, and patents. His research interests include computer vision, multimedia, natural language processing, and machine learning. His team has won the First Place in ICCV 2021 Low Power Computer Vision Challenge (video track), and won the Runner-up Prize in NIPS 2017 Adversarial Attack and Defense Competition. One of his work has been nominated to the ˇ§CVPR 2017 Best Student Paper Awardˇ¨; and he is the winner of the ˇ§IEEE Trans. on Multimedia 2016 Best Paper Awardˇ¨. He serves as the Associate Editor of The Visual Computer Journal since 2018 and the Area Chair of CVPR 2021, CVPR 2022, and WACV 2022. He obtained his Ph.D. degree in Computer Science from University of California, Los Angeles.
Jeng-Long Chiang, TIARA/ITRI, Taiwan Dr. Jeng-Long Chiang is now with ITRI-EOSL and in charge of operation of two iconic societies: TIARA and AITA. TIARA was founded by TSIA and the two Taiwan's national programs which addressed semiconductor and IC design respectively. Jeng-Long has served as the Executive Director since TIARA's foundation in 2016 and been devoted in industry-academia collaboration and talents cultivation. AITA was established in 2019 by the Ministry of Economic Affairs and it is the largest community in Taiwan targeting at development and application of AI ICs. As the Deputy Executive Secretary, Jeng-Long organizes activities for more than 160 representatives from IC and semiconductor companies, universities, and research institutes seeking for technological cooperation and business opportunities. Besides, Jeng-Long founded the YST Forum for promoting future S&T as well as interdisciplinary talents from their age at high school, and he is also a committee member in TSIAˇ¦s Industry & University Committee where he join the planning and execution of strategy about human resource for Taiwan semiconductor and IC industries.
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Bios of Past Board Chair and Past Committee Chairs:
Seishi Takamura, Hosei University/NTT Corporation, Japan Seishi Takamura received the B.E., M.E. and Ph.D. degrees from the University of Tokyo in 1991, 1993 and 1996, respectively. In 1996 he joined Nippon Telegraph and Telephone (NTT) Corporation, where he has been engaged in research on efficient video coding and ultra-high quality video coding. He has fulfilled various duties in the research and academic community in current and prior roles including Associate Editor of IEEE Transactions on Circuits and Systems for Video Technology, Executive Committee Member of IEEE Tokyo Section, Japan Council and Region 10 (Asia-Pacific). He has also served as Chair of ISO/IEC JTC 1/SC 29 Japan National Body, Japan Head of Delegation of ISO/IEC JTC 1/SC 29, and as an International Steering Committee Member of the Picture Coding Symposium. From 2005 to 2006, he was a Visiting Scientist at Stanford University, California, USA. He had served as a Senior Distinguished Engineer at NTT Computer and Data Science Laboratories until 2022 and currently he is a visiting Secnior Distinguished Engineer at NTT and a Professor of Hosei University. Dr. Takamura is a Fellow of IEEE, IEICE, ITE and IPSJ, and a member of MENSA and APSIPA.
Guan-Ming Su, Dolby Labs, USA
Guan-Ming Su is with Dolby Labs, Sunnyvale, CA. Prior to this he has been with the R&D Department, Qualcomm, Inc., San Diego, CA; ESS Technology, Fremont, CA; and Marvell Semiconductor, Inc., Santa Clara, CA. He is the inventor of 80+ U.S. patents and pending applications. He is the co-author of 3D Visual Communications (John Wiley & Sons, 2013). He served as an associate editor of Journal of Communications; associate editor in APSIPA Transactions on Signal and Information Processing, and Director of review board and R-Letter in IEEE Multimedia Communications Technical Committee. He also serves as the Technical Program Track Co-Chair in ICCCN 2011, Theme Chair in ICME 2013, TPC Co-Chair in ICNC 2013, TPC Chair in ICNC 2014, Demo Chair in SMC 2014, General Chair in ICNC 2015, Area Co-Chair for Multimedia Applications in ISM 2015, Demo Co-Chair in ISM 2016, Industrial Program Co-chair in IEEE BigMM 2017, and Industrial Expo Chair in ACMMM 2017. He served as chair of APSIPA Industrial Publication Committee 2014-2017. He is a Senior member of IEEE. He obtained his Ph.D. degree from University of Maryland, College Park.
Shan Liu, Tencent, USA
Shan Liu is a Distinguished Scientist and Vice President of Tencent Media Lab at Tencent America. Prior to Tencent she was the Chief Scientist and Head of America Media Lab at Futurewei Technologies, a.k.a. Huawei USA. She also held senior management and technical positions at MediaTek, Mitsubishi Electric Research Laboratories, Sony Electronics / Sony Computer Entertainment America, and IBM T.J. Watson Research Center. Dr. Liu is the inventor of more than 200 US and global patent applications and the author of more than 30 journal and conference articles. Many of her inventions have been adopted by international standards such as ITU-T H.265 | ISO/IEC HEVC, MPEG-DASH and OMAF, as well as utilized in widely sold commercial products. She has chaired and co-chaired a number of ad-hoc and technical groups through standard development and served as a Co-Editor of Rec. ITU-T H.265 v4 | ISO/IEC 23008-2:2017. She has been in technical and organizing committees, or an invited speaker, at various international conferences such as IEEE ICIP, VCIP, ICNC, ICME and ACM Multimedia. She served in Industrial Relationship Committee of IEEE Signal Processing Society 2014-2015 and was appointed the VP of Industrial Relations and Development of Asia-Pacific Signal and Information Processing Association (APSIPA) 2016-2017. Dr. Liu obtained her B.Eng. degree in Electronics Engineering from Tsinghua University, Beijing, China and M.S. and Ph.D. degrees in Electrical Engineering from University of Southern California, Los Angeles, USA.
Haohong Wang, TCL Research, USA
Haohong Wang is the General Manager of TCL Research America at San Jose, California. Prior to joining TCL, he held technical and management positions at AT&T, Catapult, Qualcomm, Marvell and Cisco. He is the inventor of 50+ patents and pending applications, and co-author of 5 books and 50+ articles in journals and conferences. He is the Editor-in-Chief of the Journal of Communications, and has been a member of the Steering Committee of the IEEE Transactions on Multimedia. He co-chairs the IEEE Technical Committee on Human Perception and Multimedia Computing, and has chaired the IEEE Multimedia Communications Technical Committee. He chairs the Steering Committee of ICNC conference, and has served as the General Chair of IEEE ICME 2011 and IEEE VCIP 2014, and as the TPC Chair of IEEE GLOBECOM 2010. He is the recipient of the IEEE MMTC Distinguished Service Award (2013), Manager of the Year Award (2012), Distinguished Inventor Award (2013), and Technology Innovation Award (2014) by TCL Corporation. He received his Ph.D. from Northwestern University, Evanston, USA.
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Bios of Industrial Publication Committee
Karthika Vijayan, Solution Consultant at Sahaj Software, Pune, India Karthika Vijayan is a Solution Consultant at Sahaj Software, Pune, India. She focuses on creating AI-based solutions for real-world business problems, aiding the digital transformation and automation journeys of customers. She also leads the research and development in Voice and Natural Language Processing at Sahaj through academic collaborations with eminent institutes in India and abroad. Prior to joining Sahaj Software, she was a research fellow at the Human Language Technology Lab, Department of ECE, National University of Singapore. Earlier, she worked as a research associate with the Spectrum Lab, Department of EE, Indian Institute of Science Bangalore. She received her PhD in Speech Information Processing from Indian Institute of Technology Hyderabad. She has been conducting research in the field of conversational AI with voice and text data for almost a decade. Her research interests include Speech Processing, Natural Language Processing, Deep Learning, Pattern Recognition and Machine Learning.
Pei-Yun Tsai, National Taiwan University, Taiwan Pei-Yun Tsai (Member, IEEE) received the B.S., M.S., and Ph.D. degrees in electrical engineering from the National Taiwan University, Taipei, Taiwan, in 1994, 1996, and 2005, respectively. From 1996 to 2000, she worked at ASUStek, Taipei. From 2006, she joined in the Department of Electrical Engineering, National Central University, Taoyuan, Taiwan, where she has been a Professor since 2016. From 2022 to 2024, she was on the secondment to Tron Future Technology for developing synthetic aperture radar systems. From 2024, she is with the graduate school of advanced technology, National Taiwan University. Her research interests include digital signal processing algorithms and VLSI design for wireless communication systems, radar systems, and biomedical systems. Prof. Tsai has served as a Technical Program Committee member of A-SSCC since 2015. She was a member of the Design and Implementation of Signal Processing Systems (DISP) Technical Committee from 2015 to 2020, and a member of Applied Signal Processing Systems (ASPS) Technical committee, both of the IEEE Signal Processing Society, in 2021 and from 2025, respectively. Since 2019, she has been a member of the Circuits and Systems for Communications (CASCOM) Technical Committee of the IEEE Circuits and Systems Society. She has received Future Tech Award in 2022 as well as 2023, and National Innovation Award in 2022 and 2023, the Acer Longtern Award and the 1st Asian Solid-State Circuit Conference Student Design Contest Outstanding Award in 2005. She has also received the MXIC Golden Silicon Award in 2005.
Guan-Ming Su, Dolby Guan-Ming Su received the Ph.D. degree from the University of Maryland, College Park. He is currently the Director of Research with the Dolby Laboratories, Sunnyvale, CA, USA. He is the inventor of more than 180 U.S./international patents and pending applications. He is one of the recipients of 2020 (72nd) Technology and Engineering Emmy Award and 2021 (73rd) Engineering Emmy Award Philo T. Farnsworth Award for the contribution to high dynamic range (HDR) and wide color gamut (WCG) video as Dolby Vision format. He served in multiple IEEE international conferences, such as the TPC Co-Chair in ICME 2021, the Industry Innovation Forum Chair in ICIP 2023, and the General Co-Chair in MIPR 2024 and 2025. He served as a VP for industrial relations and development in APSIPA, from 2018 to 2019. He has been serving as the Vice Chair for Conference in IEEE Technical Committee on Multimedia Computing (TCMC), since 2021. He served as an Associate Editor for Asia Pacific Signal and Information Processing Association (APSIPA) Transactions on Signal and Information Processing, and IEEE MultiMedia Magazine.
Trio Adiono, Institut Teknologi Bandung , Indonesia Professor Dr. Trio Adiono is a full Professor at the School of Electrical Engineering and Informatics of Institut Teknologi Bandung (ITB). He obtained his Ph.D. in VLSI Design from Tokyo Institute of Technology (Titech) in 2002, Japan. From 2002 to 2004, he was a research fellow of the Japan Society for the Promotion of Science (JSPS) at Titech. In 2005, he was a visiting scholar at MESA+, Twente University, Netherlands. He also served as an Adjunct Professor at NTUST-Taiwan. Professor Adiono has developed several microchips, including the Binary Template Matching Processor, WiMax Baseband Chipset, Smart Card, and Internet of Things (IoT) devices. He has also gained experience working with Chip Design House in Fukuoka, Japan, where he handled chip design for several multinational companies. Professor Adiono has received recognition for his contributions, including the ˇ§Second Japan Intellectual Property (IP) Awardˇ¨ from Nikkei BP in 2000 and the ˇ§Award Karya Lencana Wira Karyaˇ¨ from the President of the Republic of Indonesia for his innovation in 4G chip developments. He also holds a Japanese patent for ˇ§High Quality Video Compression System.ˇ¨ Over the past ten years, Professor Adiono has supervised ITB students who have received prestigious awards such as the ˇ§Communication Society Awardˇ¨ from IEICE-Japan, the Xilinx Award, the Analog Device Award, and the ˇ§LSI of the Year Awardˇ¨ from Japan. He has also published over 66 international journals, 14 national journals, 248 conference papers, and 10 books. Professor Adiono is currently a member of the prestigious Association of Scientists in Indonesia, Akademi Ilmu Pengetahua Indonesia (AIPI). He is also recognized as a Top 2% World Scientist, indexed by experts from Elsevier and Stanford University. Prof. Dr. T. Adiono has been actively involved in various managerial activities. He is currently a member of the Academic Senate of ITB, where he serves as a responsible for Research and Innovation. Additionally, he is the founder and Chairmen of ICDeC (Indonesia Chip Design Collaborative Center). From 2010 to 2018, he held the position of Head of the Microelectronics Center and IC Design Laboratory at ITB. Furthermore, he served as a project leader in the development of H.263+ Chip at BeyondMPEG Inc., a venture business company of Tokyo Institute of Technology, Japan, where he is one of the co-founders. He has also established collaborations with MIMOS Malaysia, Panasonic Singapore Lab., Siltera Malaysia, JAIST Japan, KAIST Korea, Keio Univ., and Puk Yong Univ-Korea, Kumoh Inst. Korea, NTU and NTUST Taiwan, Edinburgh Univ. UK, and others. He has also held the position of chair of IEEE Solid State Circuits Society and has held several key committee positions and delivered keynote speeches at national and international conferences
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Bios of Industrial Forum Committee
Kong Aik Lee, Agency for Science Technology and Research (A*STAR), Singapore Dr. Lee is currently a Senior Scientist at the Institute for Infocomm Research, A*STAR, Singapore. He was a Senior Principal Researcher at the Biometrics Research Laboratories, NEC Corp., Japan, from 2018 to 2020. He received his Ph.D. degree from Nanyang Technological University, Singapore, in 2006. From 2006 to 2018, he was a Research Scientist at the Human Language Technology department, I2R, A*STAR, Singapore, where he led the speaker recognition group. He was the recipient of Singapore IES Prestigious Engineering Achievement Award 2013 for his contribution to voice biometrics technology, and the Outstanding Service Award by IEEE ICME 2020. He was the Lead Guest Editor for the CSL SI on ˇ§Two decades into Speaker Recognition Evaluation - are we there yet?ˇ¨ Currently, he serves as an Editorial Board Member for Elsevier Computer Speech and Language (2016 - present), and an Associate Editor for IEEE/ACM Transactions on Audio, Speech and Language Pro2030 cessing (2017 - present). He is an elected member of IEEE Speech and Language Technical Committee, and the General Chair of the Speaker Odyssey 2020 Workshop.
Cheng-Kuang Lee, NVIDIA, Taiwan Dr. Cheng-Kuang (CK) Lee currently serves as a senior solution architect since 2018 and leads NVAITC-TW (NVIDIA AI Technology Center ˇV Taiwan). Dr. Lee worked in TSMC during 2016 - 2018 as principal engineer of YEP (Yield Excellence Program) for developing machine learning and deep learning technology for defect inspection. From 2012 to 2016, he was assistant professor of EE department and Graduate Institute of medical mechatronics of Chang Gung University (CGU). He received the B.S degree in Physics in 2003, and the PhD degree in 2010 from Graduate Institute of Photonics and Optoelectronics, both from National Taiwan University (NTU). His research and scientific interests include deep learning and machine learning algorithm development, Medical or Industrial imaging system, like Optical Coherence Tomography/Microscopy, ultrasound, MRI, CT etc. In 2020, Dr. Lee support NVIDIA global Covid-19 Federated Learning project to predict oxygen need in triage and the result is published in Nature Medicine. He also supports the National Taiwan University Hospital to develop HeaortaNet, a model for segmenting heart, ascending/descending aorta with non-contrast CT. The HeaortaNet project won Future Tech Award 2021 and National Innovation Award in 2021. He led a team in NVIDIA to collaborated with NYMU prof Ching-Po Lin to win Top 4 rank in the world of PREDICTIVE ANALYTICS COMPETITION (PAC 2019) for predicting brain age based on structural Magnetic Resonance Imaging, and collaborated with NTHU prof Chi-Chun (Jeremy) Lee's lab to win Top 1 rank of Interspeech 2019 ComParE challenge, and obtained Silver medal (20/468 Top 5%) in Inclusive Images Challenge (Google AI challenge) on Kaggle.com in 2018.
Sunil Sivadas, NCS CorpLabs, Singapore Sunil Sivadas is a Lead Research Scientist and Associate Director of CorpLabs in NCS Product & Platforms department. He leads the research and development of applied machine learning and natural language processing for accelerating customerˇ¦s digital transformation needs. He directs many research projects in Singtel Cognitive and Artificial Intelligence Lab for Enterprises at Nanyang Technological University, Singapore. Prior to joining NCS, he was the unit head of Human Language Technology department in Institute for Infocomm Research, A*STAR, Singapore.
Yotaro Kubo, Shanaka AI, Japan Dr. Yotaro Kubo is a Research Scientist at Sakana AI. Throughout his career, he has consistently worked in the field of speech processing at Nippon Telegraph and Telephone Corporation (NTT), Amazon, Google, and Sakana AI. His research interests include machine learning for acoustic signals, finite-state models, and natural language processing. He played a key role in developing the first Japanese speech recognition model for Amazon Alexa. Additionally, he is the author of two Japanese textbooks on speech processing and machine learning.
Hao Wu, Shenzhen Ninenovo Technology and RingConn LLC, China Hao Wu (Member, IEEE) received the B.Sc. degree from the Nanjing University of Posts and Telecommunications, China, in 2013, and the M.Sc. and Ph.D. degrees from The University of Hong Kong, Hong Kong, in 2014 and 2018, respectively. From 2018 to 2019, he was a Research Fellow with Tencent, Shenzhen, China. From 2019 to 2024, he was an Assistant Professor with the College of Electronics and Information Engineering, Shenzhen University, China. He is currently the Chief-Executive-Officer (CEO) of Shenzhen Ninenovo Technology and RingConn LLC. His research interests include computational intelligence, machine learning, signal processing, and their applications on intelligent transportation, biomedical engineering, and medial image analysis. He has published over ten articles in his research area.
Yusen Eason Lin, Founder & CEO, Wellgen Medical, Co., LTD. Taiwan Dr. Eason Lin is the founder of Wellgen Medical and a full professor at National Kaohsiung Normal University, TAIWAN. He was a research assistant professor at the Department of Medicine (2000 ~ 2001), a visiting professor at the University of Pittsburgh (2013 ~ 2016), and a Visiting Scholar at the School of Public Health, UC Berkeley (2022). His professional expertise is in AI/machine learning in medical image processing, medical device design, and commercialization. Dr. Lin was awarded as "Extinguished Researcher Award" by the National Science and Technology Council and the "Young International Affair Advocate" by Executive Yuan, Taiwan. Dr. Lin has served as an expert consultant at the Taiwan CDC, the Taiwan Accreditation Foundation, and numerous healthcare organizations.
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Bios of Industrial Membership Committee
Yohei Kawaguchi, Hitachi, Japan Dr. Kawaguchi is a senior research scientist in Hitachi, Ltd. He received B.E and M.E. degrees in Informatics from Kyoto University, Japan, in 2005 and 2007, respectively. He received a Ph.D. degree in Engineering from The University of Tsukuba, Japan, in 2017. He joined the Central Research Laboratory, Hitachi, Ltd. in Japan in 2007, where he is currently a senior research scientist and a team leader. His research interests are in signal processing and machine learning for Internet of Things (IoT) systems using microphone arrays, vibration sensors, underwater sonars, chemical sensors, optical sensors, etc., with recent activities focused on acoustic scene classification for machine-health diagnosis. He won the 2016 Signal Processing Young Researcher Encouragement Award from the Institute of Electronics, Information and Communication Engineers in Japan (IEICE) Signal Processing Technical Committee. He served as a co-secretary of IEEE SPS Tokyo-Joint Chapter in 2017-2018, a special session co-chair of IWAENC 2018, etc. He is a member of DCASE 2020 Workshop organizing committee and a general co-chair. He is a senior member of IEEE SPS, a member of the Asia-Pacific Signal and Information Processing Association (APSIPA) Signal and Information Processing Theory and Methods (SIPTM) Technical Committee, a member of the IEICE Signal Processing Technical Committee, and a member of the editorial board of Journals of Acoustical Society of Japan (ASJ).
Jianquan Liu, NEC, Japan Jianquan Liu is currently a senior researcher at the Biometrics Research Laboratories of NEC Corporation, working on the topics of multimedia data processing. He is also an adjunct assistant professor at Graduate School of Science and Engineering, Hosei University, Japan. Prior to NEC, he was a development engineer in Tencent Inc. from 2005 to 2006, and was a visiting researcher at the Chinese University of Hong Kong in 2010. His research interests include high-dimensional similarity search, multimedia databases, web data mining and information retrieval, cloud storage and computing, and social network analysis. He has published 50+ papers at major international/domestic conferences and journals, received 20+ international/domestic awards, and filed 40+ PCT patents. He also successfully transformed these technological contributions into commercial products in the industry. Currently, he is/was serving as the General Co-chair of IEEE MIPR 2021; the PC Co-chair of IEEE ICME 2020, AIVR 2019, BigMM 2019, ISM 2018, ICSC 2018, ISM 2017, ICSC 2017, IRC 2017, and BigMM 2016; the Workshop Co-chair of IEEE AKIE 2018 and ICSC 2016; the Demo Co-chair of IEEE MIPR 2019 and MIPR 2018. He is a member of ACM, IEEE, IPSJ, and the Database Society of Japan (DBSJ), a member of expert committee for IEICE Mathematical Systems Science and its Applications, and IEICE Data Engineering, and an associate editor of IEEE MultiMedia Magazine and the Journal of Information Processing (JIP). Dr. Liu received the M.E. and Ph.D. degrees from the University of Tsukuba, Japan.
Kai-Lung Hua, Microsoft, Taiwan Dr. Kai-Lung Hua, recipient of the 2004 MediaTek scholarship for his Ph.D. in Electrical and Computer Engineering at Purdue University, has authored over 100 papers in international conferences and journals and holds more than a dozen IT patents. He has received numerous accolades, including the Top Performance Award from ACM Multimedia Grand Challenges, the Teaching and Research Excellence Awards from National Taiwan University of Science and Technology, the Operational Excellence Award from Microsoft Taiwan, and the K. T. Li Cornerstone Award from the Institute of Information & Computing Machinery. As the Chief Technology Officer at Microsoft Taiwan, Dr. Hua leads digital strategic initiatives, drives the development and deployment of Generative AI and Azure Cognitive Services, and is dedicated to enhancing digital resilience and fostering industry transformation.
Lam Trinh, Synosys, Vietnam Lam Trinh is senior sales manager of Synopsys South Asia. He covers Vietnam, Pakistan and Bangladesh markets. Lam has more than 20 years of experience in the IT and semiconductor industry with Intel, Microsoft, HP and Synopsys. Beside of working for Synopsys, Lam has accepted the role of consulting to Danang city government, Vietnam on development of semiconductor industry in the city. Lam has obtained Ph.D degree from Vietnam National Institute of IT in 2003 on cryptography. He has graduated from Hanoi University in 1988 with a bachelor's degree of mathematics.
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