Tarek El Moselhy

Tarek El Moselhy
Postdoctoral Associate at Aerospace Computational Design Laboratory (ACDL), Aeronautics and Astronautics Dept. at MIT


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77 Massachusetts Ave,
Room 37-427
Cambridge, MA 02139

About Me
 I am currently a post doctoral associate at the Aerospace Computational Design Laboratory with Professor Youssef Marzouk, Aeronautics & Astronautics Department at the Massachusetts Institute of Technology.
 I recieved my PhD in Electrical Engineering from MIT in January, 2010. (Awarded the Jin Au Kong Award for Outstanding PhD Thesis in Electrical Engineering from MIT, 15 May 2011.) I was at the Computational Prototyping Group with Professor Luca Daniel.
 I received my M.S. in Engineering Mathematics, 2005, and a Diploma in Mathematics, 2003, and my B.S. in Communication Engineering, 2000, all from Cairo University, Giza, Egypt.

Latest News
 I started writing my latest research findings in a research blog, which I plan to update regularly, please check it out here
 I will give an invited talk in early November at Colorado School of Mines and will present early December at the American Geophysical Union’s 45th annual Fall Meeting (AGU 2012), in San Francisco, CA.
 I will be presenting at the International Society for Bayesian Analysis (ISBA 2012) in Kyoto, Japan. 25-29 June 2012
 I will be presenting at the 10th World Congress on Computational Mechanics in São Paulo, Brazil. 8-13 July 2012
 I presented at the US National Congress on Computational Mechanics in Minnesota. 25-28 July 2011
I presented at the 7th International Congress on Industrial and Applied Mathematics (ICIAM), Vancouver, Canada. 18 - 23 July 2011
I presented at the Applied Inverse Problems Conference (AIPC) at Texas A&M University, College Station, Texas. 22-26 May 2011

Related Links

Prof. Youssef Marzouk's Webpage
Uncertainty Quantification Group
Aerospace Computational Design Laboratory
Prof. Luca Daniel's Webpage
Computational Prototyping Group


My Thesis
Title: “Field Solver Technologies for Variation-Aware Interconnect Parasitic Extraction”. (Awarded the Jin Au Kong Award for Outstanding PhD Thesis in Electrical Engineering from MIT)
Fast Maxwell
Research Interests
 Recently I became more interested in finding large scale complex applied problems to showcase my algorithms and to explore new challenges.
 I am particularly interested in stock market and weather prediction, in addition to applications involving large data and decision making under uncertainties.
 Bayesian inference using optimal maps (without MCMC).
 Adaptive and iterative methods for high dimensional stochastic PDEs and ODEs.
 Random walk methods for large scale capacitance extraction.
 Stochastic and deterministic electromagnetic field solvers for variation-aware interconnect and device parasitic extraction.

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