Presented By: Michigan Institute for Computational Discovery and Engineering
Annual Symposium: Michigan Institute for Computational Discovery and Engineering
This symposium will feature:
* Irene Qualters, Director, NSF Division of Advanced Cyberinfrastructure
* Linda Petzold, 2016 SIAM awardee, Professor of Computational Science and Engineering, University of California, Santa Barbara
* Mark Taylor, DOE Secretary's Honor Award winner 2014, Chief Computational Scientist, Accelerated Climate Modeling for Energy, Sandia National Laboratory
* James Sethian, AMS/SIAM Norbert Wiener Prize winner, Division of Mathematics, University of California, Berkeley
* Zoltan Cendes, Co-Founder of Ansoft Corp. (now ANSYS), Adjunct Professor of Electrical and Computer Engineering, Carnegie Mellon University
* Talks featuring some of the most compelling new research by U-M faculty: Ann Jeffers, Civil and Environmental Engineering; Shravan Veerapaneni, Mathematics; and Alberto Figueroa, Biomedical Engineering and Vascular Surgery.
The symposium will also include a poster session highlighting outstanding computational work from U-M researchers.
* Irene Qualters, Director, NSF Division of Advanced Cyberinfrastructure
* Linda Petzold, 2016 SIAM awardee, Professor of Computational Science and Engineering, University of California, Santa Barbara
* Mark Taylor, DOE Secretary's Honor Award winner 2014, Chief Computational Scientist, Accelerated Climate Modeling for Energy, Sandia National Laboratory
* James Sethian, AMS/SIAM Norbert Wiener Prize winner, Division of Mathematics, University of California, Berkeley
* Zoltan Cendes, Co-Founder of Ansoft Corp. (now ANSYS), Adjunct Professor of Electrical and Computer Engineering, Carnegie Mellon University
* Talks featuring some of the most compelling new research by U-M faculty: Ann Jeffers, Civil and Environmental Engineering; Shravan Veerapaneni, Mathematics; and Alberto Figueroa, Biomedical Engineering and Vascular Surgery.
The symposium will also include a poster session highlighting outstanding computational work from U-M researchers.
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