Lecturers and Workshop Speakers
Lecturers
USC Viterbi School of Engineering
Lecturer for Public Lecture #1
Massoud Pedram is the Charles Lee Powell professor of Electrical and Computer Engineering at the University of Southern California. His research interests encompass various areas such as VLSI circuit and system design, machine learning, quantum computing, and superconductor electronics. He has co-authored four books and has an extensive publication record with over 800 archival and conference papers. Massoud Pedram is recognized as an IEEE, ACM, AAAS, and NAI fellow and has received prestigious accolades including the 2015 IEEE Circuits and Systems Society Charles A. Desoer Technical Achievement Award for his contributions to low-power VLSI circuit and system modeling and design, as well as energy-efficient computing. In addition, he was honored with the 2017 USC Viterbi School of Engineering Senior Research Award.
ETH Zürich
Lecturer for Public Lecture #2
Luca Benini holds the chair of digital Circuits and systems at ETHZ and is Full Professor at the Università di Bologna. His research interests are in energy-efficient parallel computing systems, smart sensing micro-systems and machine learning hardware. He is a Fellow of the IEEE, of the ACM, a member of the Academia Europaea and a funding member of the Italian Academy of Engineering and Technology.
École Polytechnique Fédérale de Lausanne (EPFL)
Lecturer for Public Lecture #3
David Atienza is a Full Professor of Electrical and Computer Engineering, leads the Embedded Systems Laboratory (ESL) and serves as the Associate Vice President for Research Centers and Platforms at EPFL, Switzerland. His research interests focus on system-level design methodologies for energy-efficient multi-processor system-on-chip architectures (MPSoC) for the next-generation of computing servers, data centers and edge AI embedded systems (particularly smart wearables and medical devices) in the Internet of Things (IoT) era. In these fields, he is a co-author of more than 450 publications, 14 patents, and has received several best paper awards in top conferences. Also, he is the Editor-in-Chief of IEEE TCAD and ACM CSUR, and he was the Technical Program Chair for DATE 2015 and the General Chair for DATE 2017. Dr. Atienza has received several recognitions and awards, among them, the 2024 Test-of-Time Best Paper Award at the IEEE/ACM CODES+ISSS Conference for the most influential paper in system co-design in the last 15 years, the IEEE/ACM ICCAD 10-Year Retrospective Most Influential Paper Award in computer-aided design in 2020, the DAC Under-40 Innovators Award in 2018, and an ERC Consolidator Grant in 2016. He served as President of IEEE CEDA in the period 2018-2019, and as Chair of the EDAA from 2022 to 2024. He is a Fellow of IEEE and of ACM.
Workshop Speakers
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.
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
Shenzhen Fortsense Co., Ltd
Speaker for Entrepreneurship Workshop
Shanghai Denglin Technology Co., Ltd.
Speaker for Entrepreneurship Workshop
Shenzhen Intellifusion Technologies Co. Ltd
Speaker for Entrepreneurship Workshop
Legend Capital
Speaker for Entrepreneurship Workshop