Eric Michielssen honored for paper describing new algorithm to solve Maxwell’s equations

By | General Interest, Happenings, News

Eric Michielssen, professor of Electrical Engineering and Computer Science, and Associate Vice President for Advanced Research Computing, has won the Sergei A. Schelkunoff Transactions Prize Paper Award for research impacting the ability to rapidly analyze electromagnetic phenomena.

This award is presented to the authors of the best paper published in the IEEE Transactions on Antennas and Propagation during the previous year.

The 2017 paper, “A Butterfly-Based Direct Integral-Equation Solver Using Hierarchical LU Factorization for Analyzing Scattering From Electrically Large Conducting Objects,“ co-authored by Han Guo (ECE doctoral student), Yang Liu (MSE PHD, EE, 2013 2015; Lawrence Berkeley National Lab), and Prof. Jun Hu (UESTC), describes a new algorithm for solving Maxwell’s equations that is orders of magnitude faster than prior algorithms, opening the door to its use for the design and optimization of electromagnetic devices.

For more, see the College of Engineering press release.

New course for fall 2018: On-Ramp to Data Science for Chemical Engineers

By | Educational, General Interest, Happenings, News

Description: Engineers are encountering and generating a ever-growing body of data and recognizing the utility of applying data science (DataSci) approaches to extract knowledge from that data. A common barrier to learning DataSci is the stack of prerequisite courses that cannot fit into the typical engineering student schedule. This class will remove this barrier by, in one semester, covering essential foundational concepts that are not part of many engineering disciplines’ core curricula. These include: good programming practices, data structures, linear algebra, numerical methods, algorithms, probability, and statistics. The class’s focus will be on how these topics relate to data science and to provide context for further self-study.

Eligibility: College of Engineering students, pending instructor approval.

More information:

Instructor: Heather Mayes, Assistant Professor, Chemical Engineering,

CoE Endowed Professorship Recognition: Eric Michielssen, The Future of Scientific Computing

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For decades, high-end computer-aided simulations have helped researchers gain new insights into the nature of the physical world. But only relatively recently has computational science developed the ability to quantitatively predict the behavior of physical phenomena, and taken its place next to theory and physical experimentation as the third pillar of scientific inquiry. In this talk, I will explain the mathematical algorithms and computing hardware that fueled this transformation. I will also discuss what the future of scientific computing holds, given the demise of Moore’s law, using computational electromagnetics as an example. Finally, I will argue that U-M is ideally positioned to become a national leader in research computing, giving researchers in its 19 schools and colleges a competitive advantage in their pursuit of engineering, scientific, and medical discoveries.


Eric Michielssen is Professor of Electrical Engineering and Computer Science and Associate Vice President for Advanced Research Computing. He was also the founding director of the Michigan Institute for Computational Discovery and Engineering (MICDE).  Eric is an international leader in the field of computational electromagnetics (CEM), which involves the development and application of computer algorithms to simulate the generation, propagation, and interaction of electromagnetic radiation with matter. He has applied his techniques to the characterization of semiconductor and microelectronic devices, photonic crystals and optical phenomena, aircraft scattering, and terrain detection, to name a few.

Prof. Michielssen’s research on fundamental algorithms is found in the codes and simulations of countless other researchers as well as commercially available simulators. His more than 500 journal and conference publications have been cited more than 10,500 times, with an h-index of 43.  Eric serves as Editor-in-Chief of the International Journal of Numerical Modeling, and served on the National Academy’s Committee on Mathematical Foundations of Uncertainty Quantification, Validation, and Verification. He is an IEEE Fellow.