Invited Speakers

Fanxin Kong, Syracuse University, USA

Speech Title: Attack-Resilient Cyber-Physical Systems

Dr. Fanxin Kong is an assistant professor in the department of electrical engineering and computer science at Syracuse University. Dr. Kong's research interests spread security, real-time, energy-efficiency, and intelligence aspects for Cyber- Physical Systems (CPS) and Internet of Things (IoT). His current research focuses on real-time attack detection and recovery for autonomous CPS with applications such as autonomous vehicles and unmanned arial vehicles. His research techniques include machine learning, optimization, formal methods, and game theory. He has published over 50 research articles at highly reputable venues including top-tier conferences such as RTSS, RTAS, ICCPS, EMSOFT, IoTDI, DAC, INFOCOM, various IEEE/ACM Transactions, and three monographs at FnTs in EES and FnTs in EDA with now publishers.

Kun Cao, Jinan University, China
曹坤, 暨南大学

Speech Title: HELCFL: High-Efficiency and Low-Cost Federated Learning in Heterogeneous Mobile-Edge Computing

Kun Cao received the Ph.D. degree in Computer Science from East China Normal University, Shanghai, China, in 2020. He is currently an Associate Professor with the College of Information Science and Technology, Jinan University, Guangzhou, China. His current research interests are in the areas of Internet of things, edge/fog/cloud computing, and cyber-physical systems. He has published 20+ refereed papers in these areas, most of which are published in premium conferences and journals, including IEEE TCAD, IEEE TII, IEEE TAES, IEEE TSUSC, IEEE TPDS, IEEE COMST, ACM CSUR, etc. He was a recipient of the Best Paper Award from the 13th IEEE International Conference on Internet of Things, in 2020. He was ranked the World's Top 2% Scientists by Stanford University and Elsevier's Mendeley Data and Scopus citation database on August 1, 2021 (ranked #19 in China Mainland in the subfield of Computer Hardware & Architecture). Since 2020, he has been serving as an Associate Editor for the Journal of Circuits, Systems, and Computers.

Cheng Dai, Sichuan University, China
代成, 四川大学

Speech Title: Lightweight Skeleton Behavior Recognition Deep Model for Smart Embedded Monitoring Systems by Using Knowledge Distillation

Cheng Dai is an associate professor in the school of Computer Science, Sichuan University. He received the Ph.D. degree from University of Electronic Science and Technology of China, 2021. During his Ph.D, He received CSC Scholarship program, and serves as visiting Ph.D student in Mcmaster University from December 2019 to December 2020. He has published more than 10 papers in top journals (e.g., IEEE Network, IEEE Transactions on Industrial Informatics, IEEE Internet of Things Journal, IEEE Transactions on Vehicular Technology, Applied Soft Computing), and received Best Paper Award from HPCC-2020. He has always served as a reviewer for several prestigious Journals, such as IEEE IoT, IEEE TII, IEEE TSVT, IEEE TSP. He actively participates in International academic exchange, and he takes an active part in academic symposia. He received 2021 outstanding PhD Dissertation Award. His interests primarily focus on the AI and Embedded Systems with an emphasis on energy-efficient accelerators, and deep model compression.

Liying Li, Nanjing University of Science and Technology, China
李丽颖, 南京理工大学

Speech Title: Data Availability Optimization for Cyber-Physical Systems

Liying Li received her Ph.D. degree from the Department of Computer Science and Technology, East China Normal University, Shanghai, China, in 2022. She is now an Assistant Professor in the School of Computer Science and Engineering, Nanjing University of Science and Technology, China. She has published more than 20 works in top journals and conferences, including IEEE TC, IEEE TCAD, IEEE TPDS, IEEE TASE, DATE, etc. She has served as a TPC member of multiple conferences including HPCC and CPSCom. Her current research interests are in the areas of cyber-physical systems, IoT systems, and distributed artificial intelligence.


Invited Speakers

Guojie Luo, Peking University
罗国杰, 北京大学

Speech Title: Agile Generation of Mixed-Grained Reconfigurable Arrays

Luo, Guojie is currently a tenured associate professor in the School of Electronics Engineering and Computer Science and the Executive Director of the Center for Energy-efficient Computing and Applications, Peking University. He received his B.S. degree (with honors) in Computer Science from Peking University, Beijing, China in 2005, the M.S. and Ph.D. degrees in Computer Science from UCLA in 2008 and 2011, respectively. He won the 2013 ACM SIGDA Outstanding PhD Dissertation Award in Electronic Design Automation, the 2016 CCF-Intel Young Faculty Researcher Program, and the 2017 ASP-DAC Ten-Year Retrospective Most Influential Paper Award. His current research interests include electronic design automation, heterogeneous computing with FPGAs and emerging devices, and medical imaging analytics. He served as a TPC member of ICCAD 2014-2016, ISPD 2014-2016, ASP-DAC 2013-2015, and NanoArch 2013-2014; he also served as a reviewer for the following journals: IEEE TCAD, IEEE TVLSI, ACM TRETS, and ACM JETC.

Quan Chen, Southern University of Science and Technology
陈全, 南方科技大学

Speech Title: A Physics-Informed Recurrent Neural Network for RRAM Modeling

Dr. Quan Chen graduated from the University of Hong Kong. He once was a postdoctoral fellow at the University of California, San Diego (UCSD) and a research assistant professor at the University of Hong Kong. He joined the Southern University of Science and Technology in 2019. Dr. Chen's main research areas include ultra-large-scale circuit simulation and multi-physics analysis in the field of electronic design automation (EDA), as well as quantum mechanical first-principles simulation of advanced nanodevices and materials, and has many years of experience in technical transformation and commercialization.

Ying Wang, Institute of Computing Technology, CAS
王颖, 中科院计算所

Speech Title: Cognitive SSD: from System to Chip

I am an Associate Professor in State Key Laboratory of Computer Architecture at Institute of Computing Technology, Chinese Academy of Sciences. At ICT, my research interests primarily focus on the area of reliable computer architecture and VLSI design, with an emphasis on memory systems, energy-efficient accelerators, and approximate/error-tolerant computing. I'm also leading the DeepBurning Project.

Jin Sun, Nanjing University of Science and Technology
孙晋, 南京理工大学

Speech Title: Solving Task Scheduling Problems for Mobile Edge Computing by Using Swarm Intelligent Algorithms

Jin Sun received the B.S. and M.S. degrees in computer science and technology from the Nanjing University of Science and Technology, Nanjing, China, in 2004 and 2006, respectively, and the Ph.D. degree in electrical and computer engineering from The University of Arizona, Tucson, AZ, USA, in 2011.
From January 2012 to September 2014, Jin Sun was a Member of Technical Staff with Orora Design Technologies, Inc., Issaquah, WA, USA. He is currently a Professor with the School of Computer Science and Engineering, Nanjing University of Science and Technology. He has authored more than 70 publications, including 45 JCR journal papers, 23 peer-reviewed conference proceeding papers, and 1 book chapter. His research interests include high-performance computing, electronic design automation, and embedded systems.
Jin Sun He is an Associate Editor of the Journal of Circuits, Systems, and Computers. He was the recipient of 2010 IEEE ISQED Best Design Award, 2016 IEEE PIC Best Paper Award, and 2017 IEEE CBD Best Paper Award.

Jinghao Sun, Dalian University of Technology
孙景昊, 大连理工大学

Speech Title: Schedulability Analysis for Timed Automata with Tasks

Dr Sun is currently an associate professor in the College of Computer Science and Technology at Dalian University of Technology (DUT). Dr Sun received his MS and PhD from Dalian University of Technology, China in 2008 and 2012, respectively. Before joining DUT, he worked as an associate professor at Northeastern University, China.

Xunzhao Yin, Zhejiang University
尹勋钊, 浙江大学

Speech Title: Explorations on Content Addressable Memory Using Ferroelectric

Dr. Xunzhao Yin joined Zhejiang Unviersity as a tenure-track professor in 2019. He received his Ph.D. degree and B.S. degree from University of Notre Dame, USA and Tsinghua University, China, in 2019 and 2013, respectively. His research interests include emerging circuit/architecture designs and novel computing paradigms with both CMOS and emerging technologies. He has participated in several large proejcts sponsored by DARPA/NSF/SRC, e.g., Center for Low Energy System Technology (LEAST), Center for Extremely Energy Efficient Collective Electronics (EXCEL), and Application and Systems driven Center for Energy-Efficient Integrated NanoTechnologies (ASCENT), where he was exploring novel circuits and architectures based on beyond-CMOS technologies and novel computing paradigms. He has published more than 20 top journals and conferences, including IEEE TVLSI, IEEE TCAS-TCAD, IEEE TCAS-II, IEEE Design & Test, Nature Electronics, ICCAD, DATE, etc. He has served as reveiwers for IEEE/ACM journals including JETC, TCAD,TVLSI,TCAS-I/II,TNANO,TMCSC, D&T, ESL, etc. He received the best paper award nomination of ICCAD 2020, Outstanding Research Assistant Award in the department of CSE at University of Notre Dame, 3rd place award for 3-minute-thesis Competition at University of Notre Dame, and Bronze medal of Student Research Competition at ICCAD2016.