NEWS
NEWS
Year 2025
August 2025: Received the National Science Foundation (NSF) CAREER award.
January 2025: Selected as the Jr VP of Communications, WORMS, INFORMS 2025.
January 2025: Morteza Boroun successfully defended his dissertation on "Projection-free and Accelerated Methods for Constrained Optimization and Saddle-point Problems".
Year 2024
December 2024: Presenting our work on "Stochastic Quasi-Variational Inequalities: Convergence Analysis Beyond Strong Monotonicity" at Optimization for Machine Learning Workshop, NeurIPS 2024.
December 2024: Participate in the Open House for ENGR 102, and talk about research and job opportunities for SIE major.
October 2024: Received the 2024 INFORMS JFIG Teaching Excellence Award (Third Place).
October 2024: Published two papers in collaboration with the Departments of Mining and Geological Engineering in the journals of Optimization and Engineering and Mining, Metallurgy & Exploration.
October 2024: Guest speaker at Women in STEAM, UA Global.
May 2024: Awarded for Excellence at the Student Interface, as the Most Supportive Junior Faculty Member in SIE, College of Engineering, University of Arizona.
April 2024: Received the Gerald J. Swanson Prize for Teaching Excellence, University of Arizona.
February 2024: Our paper on "Optimized and Automated Secure IC Design Flow: A Defense-in-Depth Approach" has been published in IEEE Transactions on Circuits and Systems.
Year 2023
November 2023: Awarded the FY24 Eighteenth Mile TRIF Funding, University of Arizona: "Computationally Efficient Algorithms for Robust Learning". $38,963, role: PI (100% responsibility), 711/6/2023-6/30/2024.
November 2023: Our Paper on "Randomized Lagrangian Stochastic Approximation for Large-Scale Constrained Stochastic Nash Games" has been accepted in Optimization Letters.
October 2023: Our Paper on "Stochastic Approximation for Estimating the Price of Stability in Stochastic Nash Games" has been accepted in ACM Transactions on Modeling and Computer Simulation.
September 2023: Our Paper on "Projection-Free Methods for Solving Nonconvex-Concave Saddle Point Problems" has been accepted in NeurIPS 2023.
September 2023: Hosting 45 high school girls for a half-day tour in the SIE department, Part of the INFORMS DEI Ambassador project
July 2023: Awarded an NSF Grant: "Generalized Stochastic Nash Equilibrium Framework: Theory, Computation, and Application". $278,450, role: PI (100% responsibility), 8/15/2023-7/31/2026.
July 2023: Lead an Engineering/Math Connections session at Engineering Blast Off, College of Engineering, University of Arizona.
July 2023: Give a lecture on stochastic optimization for the SIE session at the 2023 Summer Engineering Academy (SEA).
May 2023: Awarded a Faculty Seed Grant, University of Arizona: "Mitigating Adversarial Attacks Using Generalized Nash Equilibrium". $14,143, role: PI (100% responsibility), 7/1/2023-6/30/2024.
February 2023: Guest Lecturer at UArizona Girls Who Code. Introduced an AI project for students' final project.
January 2023: Our paper on "Randomized Primal-Dual Methods with Line-Search for Saddle Point Problems" has been accepted in AISTATS 2023.
January 2023: Selected as one of INFORMS Diversity, Equity, and Inclusion (DEI) Ambassadors for the project "K-12 Outreach -- Early Introduction to Operations Research". INFORMS offered a $1500 award to support the activities outlined in the project.
January 2023: Our paper on “An Accelerated Asynchronous Distributed Method for Convex Constrained Optimization Problems” has been accepted at 2023 CISS.
Year 2022
November 2022: Guest lecturer at The Imagine Your STEM Future (IYSF) program, Desert View High School, Tucson, AZ.
October 2022: Guest speaker at Women in STEA+M, UA Global.
October 2022: Organized a session on “Recent Advances in Stochastic Optimization and Variational Inequality Problems” at INFORMS Annual Meeting 2022, Indianapolis, IN.
September 2022: Our paper on "Probability maximization via Minkowski functionals: convex representations and tractable resolution" is published online in Mathematical Programming.
September 2022: Our paper on "Smoothed Variable Sample-Size Accelerated Proximal Methods for Nonsmooth Stochastic Convex Programs" is published online in Stochastic Systems.
July 2022: Presented a talk on "Complexity Guarantees for Nonlinearly Constrained Nonsmooth Stochastic Merely-Convex-Merely-Concave Minimax Optimization" at ICCOPT 2022, Lehigh, PA.
June 2022: Our paper on "An Inexact Variance-Reduced Method For Stochastic Quasi-Variational Inequality Problems With An Application In Healthcare" has been accepted for publication in the Winter Simulation Conference (WSC) 2022 Proceedings.
April 2022: Awarded Teacher of the Year-- College of Engineering, University of Arizona.
Year 2021
October 2021: Presented a talk on "Primal-Dual Incremental Gradient Method for Nonsmooth and Convex Optimization Problems" at INFORMS Annual Meeting 2021, Anaheim, CA.
September 2021: Guest lecturer at The Imagine Your STEM Future (IYSF) program, Desert View High School, Tucson, AZ.
June 2021: Our paper on "Inexact-Proximal Accelerated Gradient Method for Stochastic Nonconvex Constrained Optimization Problems" has been accepted for publication in the Winter Simulation Conference (WSC) 2021 Proceedings.
May 2021: My paper on "Primal-dual incremental gradient method for nonsmooth and convex optimization problems" is published in Optimization Letters.
February 2021: Our paper on "A Variable Sample-size Stochastic Quasi-Newton Method for Smooth and Nonsmooth Stochastic Convex Optimization" is published in Mathematics of Operations Research.
February 2021: Guest lecturer at Salpointe Catholic High School, Tucson, AZ.
Year 2020
October 2020: Presented a talk on "Iteration Complexity Of Randomized Primal-dual Methods For Convex-concave Saddle Point Problems" at INFORMS Annual Meeting 2020, Online.
August 2020: Joined the University of Arizona as an Assistant Professor of Systems and Industrial Engineering.