Mehdi Karimi
Assistant Professor
Mathematics

Office
STV Stevenson Hall 309b
Office Phone
Email
- About
- Education
- Research
Current Courses
337.001Advanced Linear Algebra
437.001Advanced Linear Algebra
437.002Advanced Linear Algebra
260.004Discrete Mathematics
400.001Independent Study
268.001Introduction To Undergraduate Research In Mathematics
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. Efficient Implementation of Interior-Point Methods for Quantum Relative Entropy. INFORMS Journal on Computing—Quantum Computing and Operations Research (2025)
Karimi, M. Radial Partitioning with Spectral Penalty Parameter Selection in Distributed Optimization for Power Systems. Journal of Sustainable Energy, Grids and Networks (2025)
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.
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)