The 3rd International Symposium on Memory Devices for Abundant Data Computing
08:00am - 12:30pm︱26-29 May 2021
The entire virtual conference will be held in China Standard Time (UTC+8:00)
Session 1: Chaired By Prof. Yang Chai, The Hong Kong Polytechnic University
08:25 - 08:30 Opening Speech
Prof. Wing-Tak Wong, Provost and Deputy President, The Hong Kong Polytechnic University
08:30 - 09:05 Memory Integration into 3D Integrated Circuits
Prof. H. -S. Philip Wong, Stanford University
09:05 - 09:30 Nanoscale Limits of Resistance Switching in Some Oxides and Layered Phase Change Materials
Prof. Eric Pop, Stanford University
09:30 - 09:55 1R neuromorphic computing array by confinement strategy and its application for reconfigurable edge computing
Prof. Jeehwan Kim, Massachusetts Institute of Technology
09:55 - 10:20 Ferroelectric Transistors for Synaptic Devices: Challenges and Prospects
Prof. Shimeng Yu, Georgia Institute of Technology
10:20 - 10:25 Break
Session 2: Chaired By Prof. Can Li, University of Hong Kong
10:25 - 11:00 RRAM based in-memory computing for embedded AI
Prof. Wei Lu, University of Michigan
11:00 - 11:25 On-chip trainable analog PCM synaptic array for spiking restricted boltzmann machine (RBM)
Prof. Sangbum Kim, Seoul National University
11:25 - 11:50 TBD
Prof. Huaqiang Wu, Tsinghua University
11:50 - 12:15 Computing with analogue crosspoint memory arrays in feedback loop
Prof. Daniel Ielmini, Politecnico di Milano
Session 3: Chaired By Prof. Sangbum Kim, Seoul National University
08:00 - 08:35 Resistive Memories for Brain-inspired Computing
Prof. Ming Liu, Chinese Academy of Science & Fudan University
08:35 - 09:00 Hardware/Software Co-design for Memristor-based AI Systems
Prof. Yiran Chen, Duke University
09:00 - 09:25 Large-scale analog memristor arrays for in-memory computing
Prof. Qiangfei Xia, University of Massachusetts
09:25 - 09:50 Neuromorphic optimization with nonvolatile memories
Prof. Dmitri Strukov, Univeristy of California, Santa Barbara
09:50 - 10:15 Flexible and Stretchable Organic Artificial Nerves
Prof. Tae Woo Lee, Seoul National University
10:15 - 10:20 Break
Session 4: Chaired By Prof. Qiming Shao, The Hong Kong University of Science and Technology
10:20 - 10:55 Ferroelectric Field-Effect Transistors for Emerging Memory Applications
Prof. Peide Ye, Purdue University
10:55 - 11:20 In-memory Computing Based on Intrinsic Dynamics in Emerging Nonvolatile Memories
Prof. Yuchao Yang, Peking University
11:20 - 11:45 Computing with natural waves
Prof. Zongfu Yu, University of Wisconsin Madison
11:45 - 12:10 Theoretically exploring switching properties of HfO2-based ferroelectric tunnel junctions
Prof. Fei Liu, Peking University
12:10 - 12:35 Advanced data encryption using two-dimensional materials
Prof. Mario Lanza, King Abdullah University of Science and Technology
Session 5: Chaired By Prof. Shimeng Yu, Georgia Institute of Technology
08:00 - 08:35 The Future of Memory Accelerated Heterogeneous Computing
Prof. Suman Datta, University of Notre Dame
08:35 - 09:00 2D Atomic Memory: From Single Defects to Computing and RF Switches
Prof. Deji Akinwande, University of Texas at Austin
09:00 - 09:25 3D monolithic integration of IGZO FET and RRAM for AI applications
Prof. Masaharu Kobayashi, University of Tokyo
09:25 - 09:50 Engineering Nanoelectronic Devices for Efficient In Memory Computing
Prof. Kuzum Duygu, University of California at San Diego
09:50 - 10:15 In-sensor Reservoir Computing via Two-dimensional Memristors
Prof. Heejun Yang, Korea Advanced Institute of Science and Technology
10:15 - 10:20 Break
Session 6: Chaired By Prof. Heejun Yang, Korea Advanced Institue of Science and Technology
10:20 - 10:55 Ratio‑based Multi‑Level Resistive Memory Cells
Prof. Tim Cheng, Hong Kong University of Science and Technology
10:55 - 11:20 Co-design of ultra-low power integrated circuit for artificial intelligence edge computing
Dr Meikei Ieong, United Microelectronics Centre
11:20 - 11:45 Conductive-Filament based Threshold Switching Memristors for Neuromorphic Computing
Prof. Xiangshui Miao, Huazhong University of Science and Technology
11:45 - 12:10 Why is STT-MRAM a strong contender for efficient neuromorphic computing?
Prof. Tuohung Hou, National Chiao Tung University
12:10 - 12:35 Smart Vision Chip
Prof. Liyuan Liu, Chinese Academy of Sciences
Session 7: Chaired By Prof. Feng Miao, Nanjing University
08:00 - 08:35 Polymer-based artificial synapses: Using protons and electrons to impart plasticity to semiconductors
Prof. Alberto Salleo, Stanford University
08:35 - 09:00 Artificial Skin Perception
Prof. Xiaodong Chen, Nanyang Technological University
09:00 - 09:25 Biomimetic Sensors and Computing Devices for Hardware Artificial Intelligence
Prof. Saptarshi Das, Pennsylvania State University
09:25 - 09:50 Van der Waals Material Ferroelectric Tunneling Junction Memory Device
Prof. Han Wang, University of Southern California
09:50 - 10:15 Silicon Photonics for Machine Learning and Neuromorphic Computing
Prof. Bhavin J. Shastri, Queen’s University
10:15 - 10:20 Break
Session 8: Chaired By Prof. Ming Yang, The Hong Kong Polytechnic University
10:20 - 10:55 Engineering Mobile Species in Resistive Switches for Computing
Prof. Joshua Yang, University of Southern California
10:55 - 11:20 2D Materials and van der Waals heterostructures for Emerging Device Applications
Prof. Feng Miao, Nanjing University
11:20 - 11:45 Artificial nociceptors for intelligent prosthesis application
Prof. Runwei Li, Chinese Academy of Sciences
11:45 - 12:10 Publishing with Nature Electronics
Dr Stuart Thomas, Nature Publishing Group
Closing remark
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