Dan Jiao, Ph.D.
Elmore Family School of Electrical and Computer Engineering
Purdue University
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“ML-Assisted Multiphysics Design Automation for Heterogeneous Integration”
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Abstract: Heterogeneous integration (HI) is the assembly and packaging of individual components, such as CPUs, GPUs, memory, FPGAs, transceivers, and power regulators, which are separately manufactured using diverse technologies and different semiconductor processes onto a single substrate. HI has shown tremendous potential to overcome the limitations and shortcomings of current monolithic integration technology, and effectively combat the slow-down of Moore’s law.
The modeling and simulation of a HI system is challenging since it requires a solution to the interacting physics of circuits, electromagnetics, thermodynamics, mechanics, etc., in a highly multiscaled, large-scale, and integrated structure across multiple domains from chiplets to package to system. In this talk, Prof. Jiao will present recent advances in fast solvers to tackle these challenges. Rapid, large-scale, first-principles accurate algorithms for multiscale multiphysics modeling and analysis will be presented. Machine intelligence will also be fused with domain expertise for significantly accelerated modeling, analysis, and optimization at system level.
Biography: Dan Jiao received her Ph.D. degree in electrical engineering from the University of Illinois at Urbana-Champaign, in 2001. She then worked at the Technology Computer-Aided Design (CAD) Division, Intel Corporation until September 2005, as a Senior CAD Engineer, Staff Engineer, and Senior Staff Engineer. In September 2005, she joined Purdue University as an Assistant Professor with the School of Electrical and Computer Engineering, where she became a tenured Associate Professor in 2009, a Full Professor in 2013, and holds the title of Synopsys Professor since 2022. She is the Director of Rapid-HI (Heterogeneous Integration) Design Institute, an Elmore ECE Emerging Frontiers Center.
A Fellow of the IEEE and a Distinguished Microwave Lecturer of the IEEE MTT Society, Jiao has authored over 350 papers in refereed journals and international conferences. Her research has been recognized by the 2022 Computational Electromagnetics Award of the ACES society, the 2019 Intel’s Outstanding Researcher Award, the 2013 Sergei A. Schelkunoff Prize Paper Award of the IEEE Antennas and Propagation Society (AP-S), six Best Paper Awards in conferences, and numerous Best Paper Finalist Awards. She was one of the 85 selected for the National Academy of Engineering’s (NAE) 2011 U.S. Frontiers of Engineering Symposium, a recipient of the NSF Career Award in 2008, the Intel Logic Technology Development Divisional Achievement Award in 2003, and the 2000 Raj Mittra Outstanding Research Award. She has been appointed the Editor-in-Chief of the IEEE Journal on Multiscale and Multiphysics Computational Techniques.