cv
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Basics
| Name | Reza Mirjalili |
| Label | Operations Research and Data Scientist |
| reza.mirjalili@gmail.com | |
| Phone | (631) 560-3424 |
| Url | https://RezaMirjaliliPhD.github.io |
| Summary | Ph.D. candidate in Industrial Engineering at the University of Houston, specializing in supply chain, network design, and last-mile delivery optimization. Expert in branch-and-price-and-cut, scalable optimization, and reinforcement learning for real-world logistics problems. |
Work
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2020.08 - 2025.08 Research Assistant
Systems Optimization and Computing Laboratory, University of Houston
Designed scalable algorithms for last-mile logistics problems using column generation, deep learning, and combinatorial optimization.
- Developed Branch-and-Price-and-Cut algorithm for drone-based delivery systems.
- Integrated reinforcement learning for subproblem prioritization in column generation.
- Formulated Chvátal-Gomory cuts as a shortest-path-based subproblem.
- Implemented high-performance dynamic programming in Cython.
-
2018.08 - 2020.05 Graduate Research Assistant
Transportation and Logistics Lab, SUNY Stony Brook
Worked on transportation network resilience and healthcare logistics models.
- Built forecast models for NYC transit recovery after snowstorms.
- Developed stochastic scheduling models for home healthcare.
Education
Certificates
| LLMOps Specialization | ||
| Duke University / Coursera | 2025-01-01 |
| MLOps Specialization | ||
| Duke University / Coursera | 2025-01-01 |
| CUDA C++ Programming | ||
| NVIDIA | 2024-05-01 |
| Fundamentals of Deep Learning | ||
| NVIDIA | 2024-05-01 |
Skills
| Optimization & Modeling | |
| Branch-and-Price-and-Cut | |
| Column Generation | |
| Gurobi | |
| CPLEX | |
| SCIP | |
| Pyomo | |
| Constraint Programming |
| Machine Learning | |
| Deep Reinforcement Learning | |
| PyTorch | |
| Keras | |
| TensorFlow | |
| Graph Neural Networks |
| Programming | |
| Python | |
| C++ (OpenMP/MPI) | |
| Cython | |
| MATLAB | |
| Bash |
Languages
| English | |
| Fluent |
| Persian (Farsi) | |
| Native speaker |
Interests
| Optimization in Logistics | |
| Last-mile delivery | |
| Drone routing | |
| Vehicle routing problems | |
| Supply chain design |
| AI in Decision Making | |
| RL-based heuristics | |
| Neural combinatorial optimization | |
| ML-assisted column generation |
Projects
- 2022.01 - 2025.01
Drone Delivery Optimization
Developed Branch-and-Price-and-Cut algorithm for a mothership-based drone routing problem with novel cuts and reinforcement learning acceleration.
- Bidirectional label-setting algorithm in Cython
- Chvátal-Gomory cut generation with DRL
- Reduction of pricing subproblem evaluations by 30%
- 2024.01 - 2024.06
Stock Forecasting with LSTM
Built an LSTM model for daily Apple stock prediction using 8 years of data. Achieved 96% directional accuracy and 35% improvement over baselines.
- 2024.01 - 2024.06
CIFAR-10 Image Classification
Optimized CNN model hyperparameters using Optuna; achieved 80%+ validation accuracy with PyTorch and GPU pipeline.