Mehdi Karimi

Visiting Assistant Professor | Mathematical Sciences

Contact Information

karimim@fit.edu
Frederick C. Crawford Bldg, 311A

Educational Background

  • Ph.D. in Combinatorics and Optimization, University of Waterloo, Canada, 2017
  • Certificate in University Teaching, University of Waterloo, Canada, 2014
  • Masters in Combinatorics and Optimization, University of Waterloo, Canada, 2012
  • Ph.D. and Masters in Electrical Engineering, Sharif University, 2010

 

Professional Experience

  • Research Data Scientist: Cerebri AI, Feb 2021-August 2021
  • Postdoctoral Researcher in Optimization: University of Waterloo, Sep 2017-May 2021
  • Lecturer: University of Waterloo, 2018



Selected Publications

  • M. Karimi, and L. Tuncel. Domain-Driven Solver (DDS) Version 2.0: a MATLAB-based Software Package for Convex Optimization Problems in Domain-Driven Form, arXiv preprint arXiv:1908.03075v2, (2020).
  • M. Karimi, and L. Tunccel. Primal-Dual Interior-Point Methods for Domain-Driven Formulations, Mathematics of Operations Research, 45(2), 591-621, (2020).
  • M. Karimi, and L. Tuncel. Status Determination by Interior-Point Methods for Convex Optimization Problems in Domain-Driven Form, To appear at Mathematical Programming, arXiv preprint arXiv:1901.07084, (2020).
  • M. Karimi, and L. Tuncel. Domain-Driven Solver (DDS): a MATLAB-based Software Package for Convex Optimization Problems in Domain-Driven Form, http://www.math.uwaterloo.ca/~m7karimi/DDS.html, arXiv preprint arXiv:1908.03075, (2019).
  • M. Karimi, S. Moazeni, and L. Tuncel. A Utility Theory Based Interactive Approach to Robustness in Linear Optimization, Journal of Global Optimization, Vol. 70, 811-842, (2018).
  • M. Karimi, S. Luo, and L. Tuncel. Primal-Dual Entropy Based Interior-Point Algorithms for Linear Optimization, RAIRO-Operations Research, Vol. 51, 299-328, (2017).
  • M. Karimi, and M. Uysal. Novel Adaptive Transmission Algorithm for Free-Space Optical Links, IEEE Transactions on Communications, Vol. 60, No. 12, 3808-3815, Dec (2012).

Research

  • Optimization and mathematical programming
  • Optimization software and applications
  • Interplay of optimization and machine learning
  • Hyperbolic programming and sum-of-squares techniques
  • Optimization in power systems, communications, and smart grids
  • Convex analysis
  • Interior-point methods