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Lecturers and Workshop Speakers

Lecturers

University of California Los Angeles (UCLA)
Lecturer for Public Lecture #1

Prof. Jason CONG is the Volgenau Chair for Engineering Excellence Professor at the UCLA Computer Science Department (and a former department chair), with joint appointment from the Electrical and Computer Engineering Department. He is the director of Center for Domain-Specific Computing (CDSC) and the director of VLSI Architecture, Synthesis, and Technology (VAST) Laboratory. Dr. Cong’s research interests include novel architectures and compilation for customizable computing, synthesis of VLSI circuits and systems, and quantum computing. He has over 500 publications in these areas, including 18 best paper awards, and 4 papers in the FPGA and Reconfigurable Computing Hall of Fame. He and his former students co-founded AutoESL, which developed the most widely used high-level synthesis tool for FPGAs (renamed to Vivado HLS and Vitis HLS after Xilinx’s acquisition). He is member of the National Academy of Engineering, and a Fellow of ACM, IEEE, and the National Academy of Inventors. He is recipient of the SIA University Research Award, the EDAA Achievement Award, and the IEEE Robert N. Noyce Medal for “fundamental contributions to electronic design automation and FPGA design methods”.

École Polytechnique Fédérale de Lausanne (EPFL)
Lecturer for Public Lecture #2

Prof. David ATIENZA ALONSO is a professor of Electrical and Computer Engineering, Head of the Embedded Systems Laboratory (ESL) and Scientific Director of the EcoCloud Sustainable Computing Center at EPFL, Switzerland. His research interests include system-level design methodologies for high-performance multi-processor system-on-chip (MPSoC) and low-power Internet-of-Things (IoT) systems, including new 2-D/3-D thermal-aware design for MPSoCs and many-core servers, ultra-low power edge AI architectures for wireless body sensor nodes and smart embedded systems, HW/SW reconfigurable systems, dynamic memory optimizations, and network-on-chip design.

Prof. David ATIENZA ALONSO has co-authored more than 400 papers, one book, and 14 patents in these previous areas. He has also received several recognitions and awards, among them, the ICCAD 10-Year Retrospective Most Influential Paper Award in 2020, Design Automation Conference (DAC) Under-40 Innovators Award in 2018, and he is an Fellow of IEEE and of ACM. He is currently the Editor-in-Chief of IEEE Trans. on CAD (T-CAD).  For more information: X-HEEP: an open-hardware RISC-V system-on-chip and VersaSens .

 

University of Notre Dame (U of ND)
Lecturer for Public Lecture #3

Prof. Xiaobo Sharon HU is a professor in the department of Computer Science and Engineering at the University of Notre Dame, USA. She recently joined the U.S. NSF as a rotating Program Director in the Division of Computing and Communication Foundations. Her research interests include low-power system design, circuit and architecture design with emerging technologies, real-time embedded systems, and hardware-software co-design. She has published more than 450 papers in these areas. Some of her recognitions include the Best Paper Award from the Design Automation Conference, International Conference on Computer-Aided Design, and the International Symposium on Low Power Electronics and Design; Marie R. Pistilli Women in Engineering Achievement Award; and NSF Career award. She served as the General Chair and/or TPC Chair of Design Automation Conference, Real-Time Systems Symposium, Embedded Systems Week, etc. She was the Editor-in-Chief of ACM Transactions on Design Automation of Electronic Systems and served as Associate Editor of other ACM and IEEE journals.  Prof. Sharon HU is a Fellow of the ACM and the IEEE.

The Chinese University of Hong Kong (CUHK)
Lecturer for Public Lecture #4

Prof. Jiaya JIA is a professor of Department of Computer Science and Engineering at The Chinese University of Hong Kong (CUHK). Jiaya JIA is an IEEE Fellow. His research focuses on advanced development of computer vision and deep learning technologies, including image/video understanding, large models, multi-modal AI, computational imaging, and generative AI. His papers were cited 70,000+ times on Google Scholar with H-index 100+. His papers received SIGGRAPH Asia Test-of-Time Award 2023, CVPR Best Paper Finalist 2022, and NPAR Best Paper Award 2012. He has been among the world’s top 2% most-cited scientists by Stanford University for several years. 40+ PhDs and scholars from this group are now active in academia and industry, and have become AI tech leaders as professors, directors in research labs, and founders of several successful startups.

Prof. JIA assumes the position of Associate Editor-in-Chief (AEiC) of IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) since 2021. TPAMI is and continues to be one of IEEE’s flagship journals and one of the premier journals across all of computer science. He was also in the editorial board of International Journal of Computer Vision (IJCV). He continuously served as the area chair of ICCV, CVPR, AAAI, ECCV, and of several other conferences for 20+ years. He was on program committees of major conferences in graphics and computational imaging, including ICCP, SIGGRAPH, and SIGGRAPH Asia. His research was funded by Microsoft, Qualcomm, Adobe, Intel, NVidia, Amazon, Lenovo, and several other companies.

He was the Distinguished Scientist and Founding Executive Director of Tencent YouTu X-Lab. This lab achieved practical development of cutting-edge AI techniques for next-generation intelligent medical diagnosis systems, manufacturing industry elevation, autonomous driving and smart car platforms, and for AI-assistive social good.

University of Notre Dame (U of ND)
Lecturer for Public Lecture #5

Prof. Yiyu SHI is currently a professor in the Department of Computer Science and Engineering at the University of Notre Dame, the site director of National Science Foundation I/UCRC Alternative and Sustainable Intelligent Computing, and the director of the Sustainable Computing Lab (SCL). He is also a visiting scientist at Boston Children’s Hospital, the primary pediatric program of Harvard Medical School. He received his B.S. in Electronic Engineering from Tsinghua University, Beijing, China in 2005, the M.S and Ph.D. degree in Electrical Engineering from the University of California, Los Angeles in 2007 and 2009 respectively. His current research interests focus on hardware intelligence and biomedical applications. In recognition of his research, more than a dozen of his papers have been nominated for or awarded as the best paper in top conferences, including the 2021 IEEE Trans on Computer-AIded Design Donald O Pederson Best Paper Award. He was also the recipient of IBM Invention Achievement Award, Japan Society for the Promotion of Science (JSPS) Faculty Invitation Fellowship, Humboldt Research Fellowship, IEEE St. Louis Section Outstanding Educator Award, Academy of Science (St. Louis) Innovation Award, NSF CAREER Award, IEEE Region 5 Outstanding Individual Achievement Award, IEEE Computer Society TCVLSI Mid-Career Research Achievement Award, Facebook Research Award, among others. He has served on the technical program committee of many international conferences. He is the deputy editor-in-chief of IEEE VLSI CAS Newsletter, and an associate editor of various IEEE and ACM journals.

Workshop Speakers

Southern University of Science and Technology (SUSTech)
Speaker for Workshop #1

Prof. Hao YU obtained his B.S. degree from Fudan University (Shanghai China) and obtained M.S/Ph. D degrees both from electrical engineering department at UCLA, USA, with major of integrated circuit and embedded computing. He was an Assistant Professor in school of electrical and electronic engineering at Nanyang Technological University (NTU), Singapore. Prof. YU has 322 peer-reviewed and referred publications [conference (204) and journal (118)], 9 books, 9 book chapters, 10th WU Wen-Jun AI Science &Technology Award for AI Chip (2020), 9th WU Wen-Jun AI Science & Technology Award for Technology Invention (2019), Invention Award at Chinese Industry- Academia-Research Cooperation (2018), 1 Best Paper Award at IEEE Biomedical Circuits and Systems Conference (2018), 1 Best Paper Award at ACM Trans. on Design Automation of Electronic Systems (2010), 1 Springer PhD thesis award (advisor), 3 best paper award nominations.

Tsinghua University (THU)
Speaker for Workshop #1

Prof. Shouyi YIN received the B.S., M.S., and Ph.D. degrees in electronic engineering from Tsinghua University, Beijing, China, in 2000, 2002, and 2005, respectively. He has worked with Imperial College, London, U.K., as a Research Associate. He is currently a full professor and the vice director of School of Integrated Circuits in Tsinghua University. His research interests include reconfigurable computing, AI processors and high level synthesis. He has published more than 200 journal papers and conference papers. He has served as technical program committee member in the top VLSI and EDA conferences such as A-SSCC, ISCA, MICRO, DAC, ICCAD and ASPDAC. He is the associate editor of Science in China, ACM TRETS and Integration, the VLSI journal.

The University of Hong Kong (HKU)
Speaker for Workshop #1

Prof. Hayden K.H. SO received his B.S., M.S., and Ph.D. degrees in electrical engineering and computer sciences from the University of California, Berkeley in 1998, 2000, and 2007, respectively. He is currently an Associate Professor and Co-director of the computer engineering program at the Department of Electrical and Electronic Engineering, University of Hong Kong.  He is also the co-director and founding member of the Joint Lab on Future Cities at the University of Hong Kong.  His research focuses on highly efficient reconfigurable computing system designs and their applications.  He has been awarded the CODES+ISSS Test-of-Time award, in 2021, the IEEE-HKN C. Holmes MacDonald Outstanding Teaching Award, in 2021, the Croucher Innovation Award, in 2013, and the University Outstanding Teaching Award in 2012.  He is an active member of the international reconfigurable computing community, having served as organizer and technical program chairs of many international conferences in the field, including FCCM, FPL, FPT, ASAP, ARC, HEART, ReConFig, and HiPEAC.  He was a cofounder of the International Workshop on Overlay Architecture for FPGA (OLAF) and is a frequent reviewer for journals including ACM TRETS, ACM TACO, IEEE TPDS, etc.

Chinese Academy of Sciences (CAS)
Speaker for Workshop #2

Prof. Xiaoming CHEN received the BS and PhD degrees in electronic engineering from Tsinghua University, Beijing, China, in 2009 and 2014, respectively. He is now an associate professor with Institute of Computing Technology, Chinese Academy of Sciences. His current research interests include design automation for integrated circuits and computer architectures. He has published more than 120 papers in DAC, ICCAD, HPCA, MICRO, ASPLOS, IEEE TCAD, IEEE TC, etc. His researches have been adopted by commercial EDA software. He was a recipient of the NSFC Excellent Young Scientists Fund, 2016 European Design and Automation Association (EDAA) Outstanding Dissertation Award (the sole awardee from Chinese Mainland doctors till now), 2018 DAMO Academy Young Fellow Award, and ASP-DAC 2022 Best Paper Award.

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

Prof. Ping TAN is a professor at the ECE department of HKUST. Before that, he was the XR Lab Director at Alibaba DAMO Academy, an associate professor at the Simon Fraser University (SFU) in Canada and the National University of Singapore (NUS). His research focuses on 3D computer vision and its applications in AR/VR and robotics. He is an associate editor of TPAMI and servers as an area chair for the CVPR, ICCV, ECCV, and SIGGRAPH conferences. 

The University of Hong Kong (HKU)
Speaker for Workshop #2

Prof. Ngai WONG received the B.Eng. and Ph.D. degrees in electrical and electronic engineering from The University of Hong Kong (HKU), Hong Kong. He was a Visiting Scholar with Purdue University, West Lafayette, IN, USA, in 2003. He is currently an Associate Professor with the Department of Electrical and Electronic Engineering, HKU. He was the Associate Editor of IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems from Jan 2014- Jun 2022, and has served as the track chair and member in the technical program committees (TPCs) of premier EDA conferences every year including DAC, ICCAD and ASP-DAC. He co-founded the IEEE Council on EDA (CEDA), Hong Kong Chapter in 2016, and was the Chair in 2018/19. His research interests include compact neural network design, compute-in-memory (CIM) AI chips, electronic design automation (EDA) and tensor algebra.

Chinese Academy of Sciences (CAS)
Speaker for Workshop #3

Prof. Rui HOU’s main research interests are computer architecture, processor chip design and security. He was funded by the National Science Fund for Distinguished Young Scholars and the Science Fund for Outstanding Young Scholars. He is the director of the Key Laboratory of Cyberspace Security Defense (formerly known as the State Key Laboratory of Information Security), the chief scientist of the National Key R&D Project, and the chief scientist of the Strategic Pilot Class B Special Project of the Chinese Academy of Sciences.

Peking University (PKU)
Speaker for Workshop #3

Prof. Yuchao YANG is a Boya Distinguished Professor at School of Integrated Circuits, Peking University, and serves as Deputy Dean for School of Electronic and Computer Engineering. His research interests include artificial sensory neuron, multisensory system, in-sensor computing, and human-machine interface electronics. He has published over 150 papers in high-profile journals and conferences such as Nature Electronics, Nature Reviews Materials, Nature Communications, Nature Nanotechnology, Science Advances, IEDM, etc, which were cited >11000 times, with a h-index of 49. He was invited to give >70 keynote/invited talks and serves as TPC chair or member >10 international conferences. Prof. YANG serves as the Associate Editor for npj Unconventional Computing and Microelectronic Engineering. He is a recipient of the EXPLORER PRIZE, Qiu Shi Outstanding Young Scholar Award, Wiley Young Researcher Award, MIT Technology Review Innovators Under 35 in China, and Outstanding Achievement Award in Scientific Research of the Ministry of Education. He was recognized as Highly Cited Chinese Researchers by Elsevier from 2020 to 2023.

Sun Yat-sen University (SYSU)
Speaker for Workshop #3

Prof. Zhiyi YU received the B.S. and M.S. degrees in electrical engineering from Fudan University, China, and the Ph.D. degree in electrical and computer engineering from UC Davis, USA.

He was with IntellaSys Corporation, USA, from 2007 to 2008. From 2009 to 2015, he was an associate professor in the Department of Microelectronics, Fudan University, China. Currently, he is a professor in the School of Microelectronics Science and Technology, Sun Yat-sen University, China. He has authored four books (chapters) and over 150 papers, and has applied more than 90 patents. His current research interests include digital VLSI design and computer architecture, including neuromorphic computing, many core processors, and in-memory computing.

Dr. Yu served as the TPC chair/co-chair of ICTA, APSIPA and ICSICT, and TPC member on many conference committees such as the ASSCC, VLSI-SOC, SASIMA, and so on, and serves as an Associate Editor for TCAS II.

Chinese Academy of Sciences (CAS)
Speaker for Workshop #3

Prof. Guoqi LI is currently a Full Professor with the Institute of Automation, Chinese Academy of Sciences. His research focuses on Brain-inspired Computing and Brain Inspired Intelligence. He has authored or co-authored over 200 papers in prestigious journals including Nature, Nature Communications and Science Advances, and top AI conferences. His papers have been cited more than 11000 times according to Google Scholar. Prof. LI has actively contributed to various professional services, including serving as a Tutorial Chair, an International Technical Program Committee Member, a PC member, a Publication Chair, a Track Chair, and a workshop chair for several international conferences. He holds positions as an Associate Editor for IEEE TNNLS, IEEE TCDS, Neuromorphic Computing and Engineering. He was honored with the Outstanding Young Talent Award from the Beijing Natural Science Foundation in 2021, and was selected to participate in the Hundred Talents Program of the Chinese Academy of Sciences in 2022. In 2023, Prof. LI was awarded the National Science Foundation for Distinguished Young Scholars of China.

The Hong Kong University of Science and Technology (HKUST)
Speaker for Workshop #4

Prof. Qiming SHAO received his Bachelor’s degree in 2013 from Tsinghua University and his Ph.D. in 2019 from University of California, Los Angeles (UCLA). His lab aims to realize energy and time-efficient hardware for physical and quantum intelligence. His research interests are novel electronic and spintronic materials and structures for memory, neuromorphic and quantum computing applications. His research works are published in top peer-reviewed journals and conferences, including Nature Nanotechnology, Nature Electronics, Nature Communications, Nano Letters, and International Electron Device Meeting (IEDM). He is a recipient of 2022 IEEE Magnetics Society Early Career Award, UCLA Distinguished PhD Dissertation Award, 2018-2019 Dissertation Year Fellowship, 2019 Chinese Government Award for Outstanding Self-financed Students Abroad, two Best Poster Awards at 2018 International Conference on Magnetism, and 2015 Qualcomm Innovation Fellowship finalist. He is currently the chair of the IEEE Magnetics Society Hong Kong Chapter (since 2023) and was the chair of the IEEE Hong Kong Electron Devices/Solid-State Circuits Joint Chapter (2021-2022). He has served as chair or member of sub-committees for several international conferences, such as IEDM and EDTM. He is an associate editor of npj Spintronics, Springer Nature. For more information: https://sqml.hkust.edu.hk/ .

École Polytechnique Fédérale de Lausanne (EPFL)
Speaker for Workshop #4

Dr. Giovanni ANASALONI is a researcher and lecturer 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 a MS degree in electronic engineering from University of Ferrara (Italy) in 2003, an executive master in embedded systems design from the ALaRI institute (Switzerland) in 2005 and a PhD degree from USI in 2011.

His research efforts focus on domain-specific and ultra-low-power architectures and algorithms for edge computing systems, including hardware and software optimization techniques. On these topics, Dr. Ansaloni is the co-author of more than 70 papers in international conferences and journals. He is associate editor of IEEE TCAD, and a member of the Technical Program Committee of the DATE (since 2014), ISLPED (2019), VLSID (2020) and ICCAD (2021) conferences.

The Hong Kong University of Science and Technology (HKUST)
Speaker for Workshop #4

Prof. Zhiyao XIE is an Assistant Professor in the ECE Department at Hong Kong University of Science and Technology. He received his Ph.D. in 2022 from Duke University. His research focuses on electronic design automation (EDA) and machine learning for VLSI design. Zhiyao has received multiple prestigious awards, including the UGC Early Career Award 2023, ACM Outstanding Dissertation Award in EDA 2023, EDAA Outstanding Dissertation Award 2023, MICRO 2021 Best Paper Award, ASP-DAC 2023 Best Paper Award, ACM SIGDA SRF Best Poster Award 2022, etc. During his Ph.D. studies, Zhiyao also worked as a research intern at leading semiconductor companies such as Nvidia, Arm, Cadence, and Synopsys. Now he also serves as the Seminar Chair of IEEE CEDA Hong Kong.

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Mr. Wenlei ZHUANG
Mr. Wenlei ZHUANG

The Hong Kong University of Science and Technology (HKUST)
Speaker for Entrepreneurship Workshop

Mr. Wenlei ZHUANG, as the Head of Entrepreneur in Residence (EiR) at HKUST, oversees the incubation of the university's Deep Tech start-ups, facilitating the commercialization of their technological innovations. With over 15 years of experience in business strategy, early-stage venture investment and incubation, Wenlei previously held the role of Head of Strategic Investment at Tencent Cloud. He also served as a seasoned consultant at The Boston Consulting Group (BCG) and DHL In-house Consulting.

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Dr. Carmen FUNG
Dr. Carmen FUNG

Hong Kong Science and Technology Parks Corporation (HKSTP)
Speaker for Entrepreneurship Workshop

Dr. Carmen FUNG has more than 15 years of research experience, both in Hong Kong and in USA, in design and fabrication of micro-devices and micro-sensors using nanostructural materials.  She is now working as an Associate Director at the Strategic Development at Hong Kong Science and Technology Parks Corporation and is working closely with partner companies to drive the Innovation and Technology ecosystem in Hong Kong especially in the area of microelectronics. She is now leading the Strategic Development team to build and execute strategic plans and initiatives aiming to support technology and business development of partner companies. She launched Sensor Lab and Sensor Hub to provide a completed set of infrastructure and technical support services to partner companies and research centres during the full research and development cycle of micro/nano sensors and associated devices.

She was a postdoctoral research associate at Michigan State University, USA and actively involved in various research projects including developing a nano-sensor array and also fabricating a biocompatible and flexible polymer micro-mesh with a high density of small holes to mechanically immobilize living cell junctions and protein structures during AFM imaging.  The related research work was nominated as the Best Conference Paper in IEEE International Conference on Nano/Micro Engineered and Molecular Systems (IEEE NEMS).

She has authored/co-authored more than 50 professional journals, conference papers and book chapters on her research work. Her research findings were nominated as the Best Conference Paper in international conferences.

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Mr. Peter WU
Mr. Peter WU

Sinovation Ventures
Speaker for Entrepreneurship Workshop

Mr. Peter WU serves as Partner and Investment Committee member of Sinovation Ventures with 15+ years of investment, M&A and marketing experience in healthcare industry. During 2013 to 2020, he worked in SBCVC responsible for healthcare investments. Prior to investment career he worked at GE Healthcare and GE Consumer & Industrial for 7 years in marketing, business development, and global sourcing roles. Peter WU graduated from Tongji University with B.A. in Material Science and Engineering as well as MBA degree in Vanderbilt University and EMBA candidate in HKUST. 

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Entrepreneurship Workshop_Mr. Yi PAN
Mr. Yi PAN

Value Capital/Inovance Technology
Speaker for Entrepreneurship Workshop

Mr. Yi PAN, an EMBA graduate from the Hong Kong University of Science and Technology and CEO of Finance at the Tsinghua University PBC School of Finance, also holds an EMBA from Fudan University. With a rich background in the industry, PAN has previously worked at Huawei Electric and Emerson. He is renowned as one of the co-founders of Inovance Technology (300124), where he embarked on a mission to rejuvenate the national industrial sector in 2003. His vision was to establish Inovance as a globally recognized brand, driving the upgrade of domestic industries. Following the success of Inovance, PAN's passion for emerging industries led him to venture into hardcore technology investment. Possessing a keen and distinctive insight into capital operations in emerging industries and technological innovation, PAN is dedicated to becoming a leading discoverer of long-term value, an integrator of industry resources, and a disseminator of industry experience in fields such as intelligent manufacturing, industrial software, semiconductors, and new energy, both domestically and internationally.