I am a PhD candidate at Southern Methodist University (SMU) in the Operations Research and Engineering Management (OREM) department. My research primarily focuses on the foundations of optimization and machine learning. My work falls into the following categories.

• Algorithmic Foundations of Optimization and Machine Learning: Developing algorithms and conducting complexity analysis for various optimization problems, including constrained convex optimization, bilevel optimization, minimax games (Nash Equilibrium), and variational inequality (VI) problems with applications in machine learning.
• Mathematical Modeling: Formulating and solving real-world problems, such as dynamic pricing policies in the electricity market, using machine learning methods.

I have published my research in top-tier venues such as the IEEE Transactions on Power Systems and ICML. I obtained my MSc at Sabanci University on the topic of statistical learning methods in decision-making problems in electricity markets. I did my BSc at AmirKabir University of Technology (Tehran Polytechnic).

Education

PhD in Operations Research (2022-Present)

• Southern Methodist University
• Thesis Title (tentative): First-order Methods in Modern Optimization Problems: Algorithms and Applications
• GPA: 4.00

  MSc in Industrial Engineering (2019-2021)

• Sabanci University
• Thesis Title: Predicting the Supply Curve of Electricity in an Intra-day Market Using State-space Models and Sequential Markov Chain Monte Carlo Methods
• GPA: 3.75

  BSc in Industrial Engineering (2015-2019)

• Thesis Title: Developing Social Robots with Personalized Behavior for Elder Care
• GPA: 3.43

Licenses & certifications

• Building Transformer-Based Natural Language Processing Applications
• Fundamentals of Deep Learning
• Advanced Learning Algorithms
• Supervised Machine Learning: Regression and Classification