2024 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO'2024)

Aug. 12 - 14 , 2024, Montreal, Canada.

Keynote Speakers

Keynote title for August 12, 2024: Multiscale and Multiphysics Modeling, Analysis, and Optimization of 3-D Heterogeneously Integrated Systems

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.

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Prof. Dan Jiao

Elmore Family School of Electrical and Computer Engineering,
Purdue University, West Lafayette,
IN 47907,
USA

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 selected as the Editor-in-Chief of the IEEE Journal on Multiscale and Multiphysics Computational Techniques for the next term.


Keynote Title for August 13, 2024: A Journey of Discovery in Numerical Microwave Electromagnetics.

Abstract: Dr. Rautio has been involved in applied high frequency numerical electromagnetic analysis since the beginning of the field. Inspired by work on some of the first GaAs integrated circuits at GE Electronics Laboratory, Syracuse, NY, he learned electromagnetics with the intention of reducing and eliminating the multiple re-designs then required. This is the story, from the author’s personal perspective of how electromagnetic analysis has developed and matured from the very beginning until today, when it is now a required part of the microwave design process.

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Dr. Jim Rautio

Sonnet Software
USA

Biography: James C. Rautio (S’77–M’78–SM’91–F’00–LF’19) received the B.S.E.E. degree from Cornell University, Ithaca, NY, in 1978, the M.S. degree in systems engineering from the University of Pennsylvania, Philadelphia, in 1981, and the Ph.D. degree, under Dr. Roger Harrington, in electrical engineering from Syracuse University, Syracuse, NY, in 1986. He has worked with General Electric Valley Forge Space Division, and Syracuse Electronics Laboratory. In 1983 he founded Sonnet Software, the only microwave software company ever listed on the Inc. 500 list of the fastest growing privately held U.S. companies. Today, Sonnet Software is the leading vendor of high accuracy three-dimensional planar high-frequency electromagnetic analysis software. Dr. Rautio is the recipient of the 2001 IEEE Microwave Theory and Techniques Society (IEEE MTT-S) Microwave Application Award. He was appointed MTT Distinguished Microwave Lecturer for 2005 – 2007 lecturing on the life of James Clerk Maxwell. He received the 2014 MTT Distinguished Service Award and the 2019 MTT Career Award.


Keynote Title for August 14, 2024: Domain Decomposition Methodology for Solving Maxwell’s Equations at Scale.

Abstract: Abstract: The ever-increasing fidelity and accuracy needs of advanced electromagnetic (EM) applications have been pushing the problem sizes towards extreme scales. It puts a high premium on high-performance algorithms with optimal computational complexity. Moreover, there is an increasing demand for an integrated design and analysis environment, which requires new simulation tools to be well integrated into design processes. The focus of this research is to investigate first-principles modeling and analysis tools for these extremely large, multi-scale problems. Emphasis is placed on advancing parallel algorithms that are provably scalable, and facilitating a design-through-analysis paradigm for emerging and future complex systems. In recent years, domain decomposition (DD) methods have emerged as powerful tools for solving large, multi-scale EM problems. These methods feature divide-and-conquer in solution algorithms and plug-in-play in software architectures. Moreover, DD methods yield highly efficient and naturally parallelizable algorithms, particularly well-suited for distributed parallel computing systems. This presentation will provide a comprehensive review and discussion of recent advancements in DD methods for solving both differential and integral equations, with applications to large-scale EM problems.

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Dr. Zhen Peng

Department of Electrical and Computer Engineering,
University of Illinois Urbana-Champaign,
306 N Wright St, Urbana,
IL 61801, USA

Biography: Dr. Zhen Peng is an Associate Professor at the Department of Electrical and Computer Engineering (ECE ILLINOIS), University of Illinois at Urbana-Champaign. He received the Ph.D. degree in electromagnetics and microwave engineering from the Chinese Academy of Science, Beijing, China, in 2008. From 2008 to 2013, he was with the ElectroScience Laboratory, The Ohio State University, Columbus, OH, USA, first as a Postdoctoral Fellow, from 2008 to 2009, and then as a Senior Research Associate, from 2010 to 2013. From 2013 to 2019, he was an Assistant Professor with the Department of Electrical and Computer Engineering at the University of New Mexico (UNM), Albuquerque, NM, USA. His research interests are in the areas of computational, statistical, and applied electromagnetics. The applications of his research work include advanced antennas, radio frequency integrated circuits, electromagnetic interference and compatibility, signal and power integrity, and wireless communication. Dr. Peng is a recipient of the 2022 16th European Conference on Antennas and Propagation Best Electromagnetics Paper Award, 2021 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS) Best Conference Paper Award, 2019 IEEE Electromagnetic Compatibility Symposium Best Paper Award, 2019 EPEPS Best Conference Paper Award, 2018 National Science Foundation CAREER Award, 2018 Best Transaction Paper Award - IEEE Transactions on Components, Packaging and Manufacturing Technology, 2017 IEEE Albuquerque Section Outstanding Young Engineer Award, 2016 UNM Electrical and Computer Engineering Department’s Distinguished Researcher Award, 2015 Applied Computational Electromagnetics Society Early Career Award, 2014 IEEE Antenna and Propagation Sergei A. Schelkunoff Transactions Prize Paper Award,  multiple Young Scientist Awards and the advisor of 12 Best Student Paper Awards to date from various conferences.