Shanghai Jiao Tong University
Speaker for Workshop #1

Dr. Yanan Sun is an Associate Professor with the School of Integrated Circuits, Shanghai Jiao Tong University. She received the BE degree in microelectronics from Shanghai Jiao Tong University in 2009, and completed the PhD degree in Electronic and Computer Engineering from The Hong Kong University of Science and Technology in 2015. Her research area is energy-efficient VLSI circuit and system design.   Dr. Sun has published 80+ papers on IEEE transactions including TCAS-I/II, TVLSI, TCAD, TED, JSSC, and IEEE/ACM conferences including DAC, DATE, ICCAD, ISSCC. Dr. Sun received the best paper award nomination in IEEE DATE and IEEE ICTA, and the best paper award (first place) in IEEE ICM. Dr. Sun is serving as associate editors of IEEE TCAS-II, Microelectronics Journal, and Integrated Circuits and Systems. Dr. Sun is senior member of IEEE.

Prof. Jianguo YAN (Fudan University)
Speaker for Workshop #1

Dr. Jianguo Yang is a Professor at Fudan University and Zhangjiang Laboratory. He received his Ph.D. from Fudan University in 2016. His research focuses on memory circuits, novel computing architectures, and 3D integration. He is a recipient of the NSFC Excellent Young Scientists Fund and leads multiple major national projects. He was selected for the CAS Youth Innovation Promotion Association and received the Huawei Olympus Pioneer Award. He has published over 20 papers at ISSCC, IEDM, and VLSI (13 as first/corresponding author), and more than 20 papers in journals including Nature Communications, JSSC, and TCAS-I. He holds 70 invention patents and serves as a guest editor for Intelligent Computing.

Yonsei University 
Speaker for Workshop #1

Kyuho Jason Lee (Senior Member, IEEE) received the B.S., M.S., and Ph.D. degrees from the School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea, in 2012, 2014, and 2017, respectively. From 2018 to 2025, he was an Associate Professor with the Department of Electrical Engineering and the Graduate School of Artificial Intelligence, Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea. He is currently an Associate Professor with the School of Electrical and Electronics Engineering, Yonsei University, Seoul, South Korea. Dr. Lee has served as a TPC member for several international conferences, including the IEEE A-SSCC, IEEE CICC, ACM/IEEE DAC, ACM/IEEE DATE, IEEE AICAS, etc. His research interests include mixed-mode neuromorphic processor, deep learning accelerator, AI System-on-Chip, Network-on-Chip architectures, Processing-in-Memory & Computing-in-Memory architectures, and intelligent computer vision processor for mobile devices and autonomous vehicles.

École Polytechnique Fédérale de Lausanne (EPFL)
Speaker for Workshop #1

Dr. Giovanni Ansaloni is a Research and Teaching Associate at the Embedded Systems Laboratory of EPFL (Lausanne, Switzerland). He previously worked as a Post-Doc at the University of Lugano (USI, Switzerland) between 2015 and 2020, and at EPFL between 2011 and 2015. He received an MS degree in electronic engineering from the University of Ferrara (Italy) in 2003, an executive master's in embedded systems design from the ALaRI institute (Switzerland) in 2005, and a PhD degree from USI in 2011. 

The Hong Kong University of Science and Technology
Speaker for Workshop #2

Prof. Wei Zhang is a full professor at the Hong Kong University of Science and Technology and established the Reconfigurable System Lab. She was an assistant professor in School of Computer Engineering at Nanyang Technological University, Singapore from 2010 to 2013. She has authored and co-authored more than 150 papers in peer-reviewed journals and international conferences, and won the best paper awards in ISVLSI 2009, ICCAD 2017, and ICCAD 2022. Her current research interests include reconfigurable computing, software-hardware co-design, computer architecture, EDA and embedded system security. She serves on several editorial boards, including ACM TRETS, IEEE TCAD, ACM TECS, and IEEE TCSAI. She is an IEEE fellow. 

Fudan University
Speaker for Workshop #2

Xumeng Zhang is an Associate Researcher at the School of Integrated Circuits and Micro-Nano Electronics and the Frontier Institute of Chip and System, Fudan University. He is a recipient of the National High-Level Young Talent Program and the Shanghai Rising-Star Program. His research focuses on emerging neuron devices and chip integration, as well as neuron-driven chip design. To date, he has published over 30 papers as first/corresponding author in Nature Materials, Nature Communications, Science Advances, Advanced Materials, IEDM, and DAC et al. His Google Scholar citations exceed 6800. He has led projects including the General Program and Youth Program of the National Natural Science Foundation of China, sub-projects of the National Key Research and Development Program of China, and the Shanghai Key Technology Research and Development Program. He has received honors and awards such as the "President's Special Award" of the Chinese Academy of Sciences and the "Quest Outstanding Young Scholar" Award from the Shanghai Center for Brain Science and Brain-Inspired Intelligence. 

Technische Universitat Darmstadt (TU Darmstadt)
Speaker for Workshop #3

Grace Li Zhang received the Dr.-Ing. degree from the Technical University of Munich, Munich, Germany, in 2018. She is currently an W3 Full Professor on Hardware for AI, TU Darmstadt, Darmstadt, Germany. Her research interests include hardware accelerators for AI algorithms and systems, AI computing with emerging devices, design methodologies for AI and neuromorphic computing. Dr. Zhang has served/is serving on the Technical Committee of several conferences, including ICLR, ICML, DAC, ICCAD, ASP-DAC.

The Chinese University of Hong Kong
Speaker for Workshop #3

Qiang Xu is a Professor of Computer Science & Engineering at The Chinese University of Hong Kong. He previously served as the Chief Scientist at the National Technology Innovation Center for EDA, China. His research interests span AI and Electronic Design Automation (EDA). With over 200 publications and more than 18,000 citations, his work has garnered multiple best paper awards at prestigious conferences, including an ICCAD Ten Year Retrospective Most Influential Paper Award and an AAAI Most Influential Paper. He has supervised 20+ Ph.D. dissertations, many of which have received Outstanding Ph.D. Dissertation Awards or Nominations.

The Hong Kong University of Science and Technology
Speaker for Workshop #3

Hongce Zhang is an Assistant Professor at the Microelectronics Thrust of Hong Kong University of Science and Technology (Guangzhou) and has been serving as a member in the IEEE Council on EDA, Hong Kong Chapter since 2022. He received his PhD from Princeton University in 2021. His work is mainly around the intersection of machine learning and hardware formal verification. He has served on the program committee for international conferences on EDA and formal methods, including DAC, CAV, ICCAD, FMCAD, ASPDAC, etc.
 

National University of Singapore  
Speaker for Workshop #4

Dr. Bingsheng He is currently a Professor and Vice-Dean (Research) at School of Computing, National University of Singapore. Before that, he was a faculty member in Nanyang Technological University, Singapore (2010-2016), and held a research position in the System Research group of Microsoft Research Asia (2008-2010), where his major research was building high performance cloud computing systems for Microsoft. He got the Bachelor degree in Shanghai Jiao Tong University (1999-2003), and the Ph.D. degree in Hong Kong University of Science & Technology (2003-2008). His current research interests include cloud computing, database systems and high performance computing. He has been a winner for industry faculty awards from Microsoft, NVIDIA, Xilinx, Alibaba, Webank, SenseTime and AMD. His work also won multiple recognitions as “Best papers” collection or awards in top forums such as SIGMOD 2008, VLDB 2013 (demo), IEEE/ACM ICCAD 2017, PACT 2018, IEEE TPDS 2019, FPGA 2021, and VLDB 2023 (industry)/2024. Since 2010, he has (co-)chaired a number of international conferences and workshops, including IEEE CloudCom 2014/2015, BigData Congress 2018, ICDCS 2020 and ICDE 2024. He has served in editor board of international journals, including IEEE Transactions on Cloud Computing (IEEE TCC), IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), IEEE Transactions on Knowledge and Data Engineering (TKDE), Springer Journal of Distributed and Parallel Databases (DAPD) and ACM Computing Surveys (CSUR). He is an ACM Distinguished member and an IEEE Fellow.
 

The University of Hong Kong
Speaker for Workshop #4

Peng Lu is currently an assistant professor at University of Hong Kong. He obtained his BSc and MSc degrees in nonlinear flight control both from Northwestern Polytechnical University. He continued his journey on flight control at Delft University of Technology where he received his PhD degree. After that, he started to explore control for ground robots at ETH Zurich as a Postdoc researcher. He also did a postdoc at University of Zurich & ETH Zurich where he was working on vision-based control for UAVs. He has won several awards such as the 2025 IROS Best RoboCup paper award, Third Place in the 2025 IROS EvSLAM challenge, Second Place in the 2025 ICRA Quadrupedal Robotic Challenge, Third Place in the 2019 IROS Autonomous Drone Racing competition.

IBM Zurich Research Laboratory
Speaker for Workshop #4

Abbas Rahimi received his M.S. and Ph.D. in Computer Science and Engineering from the University of California, San Diego, in 2015. He subsequently held postdoctoral positions at the University of California, Berkeley and ETH Zürich, before joining IBM Research–Zurich in 2020, where he is currently a Research Staff Member in the Quantum AI Technology Department. His work has been recognized with honors, including the EDAA Outstanding Dissertation Award (2015) and the ETH Zürich Postdoctoral Fellowship (2017). He has received multiple Best Paper awards and nominations, including DAC (2013), BICT (2017), BioCAS (2018), DATE (2019), IBM’s Pat Goldberg Memorial Award (2020), and a NeurIPS Spotlight (2025). He was also awarded IBM’s Outstanding Technical Achievement Award in both 2023 and 2025. In 2023, his research was featured by Quanta Magazine as one of the year’s major breakthroughs in computer science.

Peking University
Speaker for Workshop #4

Meng Li is a Boya Young Fellow Assistant Professor jointly affiliated with Institute for AI and School of IC at Peking University. He has worked at Meta's Reality Labs in the United States as a Technical Lead and Staff Research Scientist, where he led the research on efficient AI algorithms and accelerators for AR glasses. He received his Ph.D. from the University of Texas at Austin in 2018 and his B.S. from Peking University in 2013.

His research focuses on efficient and secure AI accelerator and algorithms. He has published over 100 papers in premier conferences and journals, with more than 9000 citations, and has received two Best Paper Awards. Additionally, he has been honored with a series of awards, including ACM SIGDA Outstanding Young Faculty Award, Ant Group InTech Future Award, CCF Integration Circuit Early Career Award, etc. His students also won the first place of IEEE AICAS LLM System Design Contest, ACM DAC On-Device Generative AI for Science Contest, and ACM/SIGDA Student Research Competition (Undergraduate Category), etc.

X-Times Design Automation Co., LTD
Speaker for Entrepreneurship Workshop

Weibin Ding currently serves as the CTO and is a co-founder of XTimes Design Automation Co., Ltd.  He has 27 years of extensive experience in large-scale EDA software development and management, having previously held R&D leadership positions at Cadence and Springsoft.

Prior to joining XDA, Mr. Ding served as a Senior Group Director of R&D at Cadence. There, he was responsible for establishing and growing the Chinese R&D team for digital backend place-and-route solutions from the ground up. He led a team of over 150 engineers in the core development of Innovus, contributing to its evolution into a world-leading tool.

A pioneer in applying Machine Learning (ML) and Artificial Intelligence (AI) to the digital circuit domain, Mr. Ding led his team to launch the industry's first ML-based chip performance optimizer in 2019. This technology has been successfully adopted by numerous world-class semiconductor giants to significantly enhance chip performance and shorten design cycles.

Mr. Ding holds 5 U.S. patents and has published a series of related papers. He received both his Bachelor's and Master's degrees from Shanghai Jiao Tong University.

Beijing AlgoPower Technology Co. Ltd
Speaker for Entrepreneurship Workshop

Dr. Zhen Jian is the Chairman of Beijing AlgoPower Technology Co., Ltd. He earned his Ph.D. in Computer Engineering from the University of California, Santa Barbara, and completed his bachelor's and master's degrees at the Technical University of Munich, Germany.

He previously served as the Co-founder and CTO of IoTEdge in Silicon Valley, Director of the Silicon Valley Alley Startup Community, and Computer Scientist/Project Manager at Arista Networks. He was also invited to participate in the 2016 Y-Combinator Startup School. His accolades include the UC Santa Barbara Doctoral Dissertation Award, Chancellor's Fellowship, German Academic Exchange Service (DAAD) Scholarship, and the Bavarian State Government Scholarship.

With extensive global, multidimensional work experience in "industry-university-research" ecosystem, he founded Beijing AlgoPower Technology Co., Ltd. in September 2023, building large computing clusters to serve China's AI model training demand.

Shenzhen Fortsense Co., Ltd
Speaker for Entrepreneurship Workshop

Michael Mo has over 20 years of experience in human-machine interaction and sensor chips, with world-class expertise in SoC architecture and industrialization.

He pioneered Android capacitive touch technology and touch-display integration solutions, empowering over one billion smartphones annually and creating tens of billions of dollars in industrial value.

As a founder, he led the R&D and industrialization of core physical AI vision chips, and founded Fortsense—a chip design company with full-chain independent capabilities in solid-state LiDAR SPAD, covering device design, system architecture, and automotive-grade mass production.

In 2023, Fortsense launched the world’s first high-resolution large-array SPAD chip. The chip is now mass-produced and deployed in Zeekr 9X/8X models, as well as in intelligent robotic mowers, low-speed unmanned vehicles, and logistics tractors. A main LiDAR chip with a 200-meter detection range and an innovative RGB-D color space camera chip are both scheduled for release in 2026.

HEJUN Tech Capital
Speaker for Entrepreneurship Workshop

Mr. Guoqing He is Funder of HEJUN Tech Capital. He holds an MBA from the University of Wales, UK, and has a combined background in investment and management, with deep understanding of both international inovation and local investment practices in China. He previously worked in equity investment at Merrill Lynch, and later served as Head of TMT Business at Anya Group. With over 18 years of experience in finance and technology innovation, he has led in a number of capital market projects, including the investment in RealDesign (301135), and the IPOs of Jingquanhua (002885) and Edensoft (HK.01147). His investment philosophy centers on value-added empowerment: improving operational efficiency through structural optimization, and driving continuous improvement and cyclical incentives.

Legend Capital
Speaker for Entrepreneurship Workshop

Mr. Fan joined Legend Capital in 2007, and is now Managing Director of the firm.

Mr. Fan focuses on investments in 2B innovative technology. He led or participated in LC's investments in QuantumCTek (688027.SH), LTOM (688150.SH), Fortior Tech (688279.SH & 1304.HK), Pony AI (Nasdaq.PONY & 2026.HK), etc.

Prior to joining Legend Capital, Mr. Fan worked with Investment Banking Department of Union Securities and HengXin Securities.

Mr. Fan holds a Bachelor of Economics from Hangzhou Dianzi University, and a Master of Management Science from Fudan University.

Shenzhen Intellifusion Technologies Co. Ltd
Speaker for Entrepreneurship Workshop