Co-organizers
- 清华大学
- 北京未来芯片技术高精尖创新中心
- 电子科技大学
- 成都市集成电路行业协会
- 成都汀兰会展有限公司
- 中科芯未来
- 成都高新区集成电路业界共治理事会
- 成都国家现代服务业集成电路设计产业化基地
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TUTORIAL & SHORT COURSES
EDTM 2021 will start a set of several short courses and tutorials on April 8th, 2021. Tutorials teach selected topics from the basics to the state-of-the-arts, allowing the attendees to catch up a topic quickly. Short Courses discuss the latest research and challenges on hot and advanced topics encompassing the EDTM 2021 theme of Intelligent Technologies for Smart and Connected Life, such as heterogeneous integration, artificial intelligence (AI) and machine learning (ML), internet of everything (IoET), 5G+, autonomous systems, industry 4.0, future computing and quantum information processing, all enabled by electron devices technologies.
| Tutorial 1 |
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“Flexible electronics + Display” Thursday, 8 April 2021 09:00–12:30 ShuFeng Hall Moderator: Tianling Ren, Jianbin Xu |
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T1-1: 9:00 am Skin-Inspired Organic Electronics Zhenan Bao, Stanford University, California, USA |
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T1-2: 10:10 am 2D material based flexible and wearable electronics Jong-Hyun Ahn, Yonsei University, Seoul, Korea |
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T1-3: 11:20 am A Metal-Oxide Transistor Technology for Flexible Electronics Man Wong, Hong Kong University of Science and Technology, Hong Kong, China |
| Tutorial 2 |
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“Future Communication and Computing” Thursday, 8 April 2021 09:00–12:30 ShuHan Hall Moderator: Qiming Shao, Yimao Cai |
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T2-1: 9:00 am 6G: Towards a More Connected and Sustainable World Mohamed-Slim Alouini, King Abdullah University of Science and Technology, Saudi Arabia |
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T2-2: 10:10 am Topological spintronics for low energy dissipation Kang L. Wang, University of California, Los Angeles, USA |
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T2-3: 11:20 am In- and Near-Memory Computing Using 2D/3D Resistive Memories Philip Wong, Stanford University, California, USA |
| Short Course 1 |
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“Advanced Memories and Emerging Applications” Thursday, 8 April 2021 13:50–17:20 ShuFeng Hall Moderator: Qi Xiang, Navakanta Bhat |
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SC1-1: 2:00 pm Computing-in-memory design for general neural networks inference Shaodi Wang, Founder/CEO of WITINMEM, Beijing, China |
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SC1-2: 3:10 pm Emerging Device Technologies for Neuromorphic Computing and Machine Learning Damien Querlioz, Université Paris-Saclay, CNRS, France |
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SC1-3: 4:20 pm RRAM Based Computing-In-Memory Qi Xiang, CTO of Xiamen Industrial Technology Research Institute Co., LTD, China |
| Short Course 2 |
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“Quantum Computing Technologies” Thursday, 8 April 2021 13:50–17:20 ShuHan Hall Moderator: Qiang Zhou, Jong-Hyun Ahn |
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SC2-1: 2:00 pm Cryo-CMOS for Quantum Computing Edoardo Charbon, EPFL, Switzerland |
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SC2-2: 3:10 pm Understanding quantum computing by quantum algorithms Lvzhou Li, Sun Yat-sen University, China |
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SC2-3: 4:20 pm Quantum computing using superconducting quantum coherence devices Yuxi Liu, Tsinghua University, China |
| Short Course 3 |
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“Advanced Processing and Manufacturing” Thursday, 8 April 2021 13:50–17:20 ShuYun Hall Moderator: Wei-Min Gao, Udayan Ganguly |
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SC3-1: 2:00 pm Layer transfer technology of post-Si materials for monolithic 3D integration Tatsuro Maeda, National Institute of Advanced Industrial Science and Technology, Japan |
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SC3-2: 3:10 pm Device/Process Technology Challenges for CMOS System Evolution Digh Hisamoto, Hitachi, Japan |
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SC3-3: 4:20 pm EUV lithography and its applications to logic and memory devices Wei-Min Gao, ASML China |
| Short Course 4 |
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“Ultra/Wide Bandgap Power Electronics” Thursday, 8 April 2021 13:50–17:20 ShuJin Hall Moderator: Mengyuan Hua, Shaibal Mukherjee |
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SC4-1: 2:00 pm Integration with GaN-on-Si Power HEMT platform Kevin J. Chen, Hong Kong University of Science and Technology, Hong Kong, China |
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SC4-2: 3:10 pm Energy efficient power switches with Gallium Nitride technology Srabanti Chowdhury, Stanford University, California, USA |
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SC4-3: 4:20 pm Element Technology for Next Generation High- to Ultra-High Voltage SiC Power Device Yoshiyuki Yonezawa, AIST, Japan |