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Mehdi Karimi

Assistant Professor
Mathematics
Office
STV Stevenson Hall 309b
  • About
  • Education
  • Research

Current Courses

146.002Calculus II

260.001Discrete Mathematics

499.001Independent Research For The Master's Thesis

390.002Independent Study

205.001Introduction to Deep Learning

Research Interests & Areas

- 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

PhD Mathematics/Optimization

University of Waterloo

MS Mathematics/Optimization

University of Waterloo

PhD Electrical Engineering

Sharif University of Technology

MS Electrical Engineering

Sharif University of Technology

BS Electrical Engineering

Isfahan University of Technology

Journal Article

Karimi, M., & Tuncel, L. Domain-Driven Solver (DDS) Version 2.1: a MATLAB-based software package for convex optimization problems in domain-driven form. Mathematical Programming Computation (2023): 1-55.
O’Donnell, B., Sanchez-Pupo, R., Sayedyahossein, S., Karimi, M., Bahmani, M., Zhang, C., Johnston, D., Kelly, J., Wakefield, C., Barr, K., Dagnino, L., & Penuela, S. PANX3 Channels Regulate Architecture, Adhesion, Barrier Function, and Inflammation in the Skin. Journal of Investigative Dermatology 143.8 (2023): 1509-1519.
Karimi, M., & Tuncel, L. Status determination by interior-point methods for convex optimization problems in domain-driven form. Mathematical Programming 194.1-2 (2022): 937-974.
Karimi, M., & Tuncel, L. Primal–Dual Interior-Point Methods for Domain-Driven Formulations. Mathematics of Operations Research 45.2 (2020): 591-621.

Presentations

Efficient Quantum Relative Entropy Programming with SDP Preprocessing. International Symposium for Mathematical Programming (ISMP). (2024)
Efficient Quantum Relative Entropy Programming with SDP Preprocessing. European Conference on Operations Research. (2024)
Polynomial-time Interior-Point Methods for Convex Optimization Beyond Symmetric Cones. INFORMS Annual Meeting. (2024)
Efficient Implementation of Interior-Point Methods for Quantum Relative Entropy. SIAM Conference on Optimization (OP23). (2023)

Grants & Contracts

Advancing Predictive Models with SDOH Integration in Healthcare. Connected Communities Initiative (OSF HealthCare and ISU). Local. (2024)
Intelligent Modeling and Parameter Selection in Distributed Optimization for Power Networks. National Science Foundation. Federal. (2024)
Pre-tenure Faculty Initiative Grant (PFIG): Using Physics-Informed Deep-Learning to Study Dynamic Fracture in Cellular Structures. College of Art and Science. Illinois State University. (2024)