About Me

I am a Ph.D. student in Industrial & Systems Engineering at Lehigh University, working under the supervision of Prof. Frank E. Curtis and Prof. Daniel P. Robinson. My research interests lie in mathematical modeling, optimization, and nonconvex optimization, with applications in areas such as machine learning and other real-world problems.

Before joining Lehigh, I earned my Master's degree in Industrial Engineering from Sharif University of Technology.

Publications

Fair supervised learning through constraints on smooth nonconvex unfairness-measure surrogates
Zahra Khatti, Daniel P Robinson, and Frank E Curtis
arXiv preprint arXiv:2505.15788, 2025

Research & Projects

Nonconvex Constrained Optimization Methods

Developed optimization techniques for handling nonconvex constrained problems, with applications in machine learning and fairness.

Nonconvex Optimization Constrained Optimization

Multi-Stage Financial Planning

Stochastic optimization using scenario reduction and nested decomposition methods for robust financial planning. Handles uncertainty in multi-period decision making.

Stochastic Optimization Finance

Constraint-Based ML Framework

A comprehensive framework for integrating domain constraints into machine learning pipelines with theoretical guarantees. Provides tools for constraint specification and enforcement.

Framework Algorithms Optimization

Fair Clustering

Optimization-based clustering algorithms with integrated fairness constraints for equitable data partitioning. Implements mathematical programming approaches to ensure balanced representation.

AMPL Python Optimization Clustering