Hao Yan, Southeast University, China
闫浩，东南大学
Speech Title: Exploring AI for Timing Closure: Addressing Physical and Variation Challenges
Hao Yan, Associate Professor and Ph.D. Supervisor, School of Integrated Circuits, Southeast University. His research focuses on static timing analysis and optimization for wide-voltage, high-energy-efficient design. In recent years, he has led projects such as the National Natural Science Fund for Young Scientists, the National Key Research and Development Plan, and Provincial Key R&D projects. He has published over 40 papers in the field of Electronic Design Automation (EDA) at conferences such as IEEE/ACM DAC and TCAD, and received a nomination for the Best Paper at ASP-DAC 2021. He has also guided students to win awards in the Integrated Circuit EDA Design Elite Challenge and the International Timing Analysis Competition (2021 & 2022 TAU Contest).
Shuo Zhang, Zhejiang University Speech Title: Deep Learning Framework for Fast Quantum-Aware Modeling and Inverse Parameter Extraction Post-Moore Transistor Design
Shuo Zhang was born in Hefei, China. He received the Ph. D. degree in electronic science and technology from Zhejiang University, in 2022. From 2019 to 2021, he was a visiting research scholar in the ECE Department of UCSB. He completed his postdoctoral fellowship at the School of Materials Science and Engineering in ZJU this year, now he has been a “qiushi” researcher of ZJU-HIC 100 plan. He was one of the recipients of Best PhD Thesis Award in both ZJU and Zhejiang Province. His research interests include non-equilibrium Green’s function method, novel semiconductor device modeling, spintronics and valleytronics in two-dimensional materials, and AI-assisted development of TCAD tools. He has published over 20 papers in top journals and conferences including IEEE T-ED, IEEE IEDM, Advanced Materials, APL, and PIER. Zimeng Zhou, Shandong University, China
BIO: TBA ICITES Previous Distinguished Invited Speakers
张硕，浙江大学
周梓梦，山东大学
