Teaching

• CS2580: Foundations of Prescriptive Analytics, Brown, 2017 - present
• Student evaluations: 2016/17, 2017/18, 2018/2019
• Teaching in Times of Distruption and Resilient Course Design, Anchor Program, Brown, 2020
• PSPO - Professional Scrum Product Owner Certificate, Scrum.org, Oracle, 2015
• Coursera: Discrete Optimization, Prof. Pascal Van Hentenryck, Community Assistant, Coursera, 2013, 2014
• CS 224: Interactive Computer Graphics, Prof. John Hughes, Head TA, Brown, 2010
• CS 149: Intro. to Combinatorial Optimization, Prof. Meinolf Sellmann, Head TA, Brown, 2008, 2009
• Teaching Certificate - The Harriet W. Sheridan Center for Learning, Brown, 2008

Student Research

I enjoy collaboration with students many of which lead to research publications:

• Zohreh Raziei, Ph.D., Northeastern University, 2024
  • Doctoral thesis committee on AI for Decision Making with Applications in Invetory Control and Predictive Analytics
• Weijia Jing and Aishwarya Kumar, Northeastern University, 2024
• Akshay Reddy Nagireddy, Ratan Sai Kokku, and Zohreh Raziei, Northeastern University, 2023
  • Akshay built an automated CD/CI pipeline using GitHub actions, which builds a docker image hosted on GitHub Docker Registry that can run all Fidelity open-source software.
  • Zohreh incorporated text-based feature selection into Selective library. The method is outlined in detail in our AMAI’24 and CPAIOR’21 papers.
• Paul Biberstein, BSc., Brown University, 2023
  • Capstone project on bandit-based local search, added to ALNS
• Enrique Areyan Viqueira, Ph.D., Brown University, 2021
  • Doctoral thesis committee on Learning Equilibria of Simulation-Based Games
• Irmak Bukey, BSc, Pomona College, 2021
  • Non-linear Contextual Multi-armed Bandits (Elmachtoub et. al.) added to MABWiser
• Shamay Samuel, BSc, Brown University, 2021
  • Integrated Vehicle Routing and Monte-Carlo Scheduler for Home Service Assignment, MOPTA Challenge
  • Finalist at the AIMMS-MOPTA Optimization Modeling Competition
• Mohsen Emadikhiav, PhD, University of Connecticut, 2020 (Asst. Prof @ Florida Atlantic University)
  • Constrained Logistic Regression to Avoid Undesirable Predictions, CP 2019
• Rigel Galgana, Shamay Samuel, BSc, Brown University, 2019
  • Independent research on Neural Constraint Solving
• Priya Singh, MSc., Northeastern University, 2019 (Data Scientist @ Bottomline Techologies)
• Pablo Colunga, MSc., Northeastern University, 2019 (Data Scientist @ Raytehon)
  • Seq2Pat: Sequence-to-Pattern Generation, INFORMS 2020
• Emily Strong, MSc, Northeastern University, 2018 (Data Scientist @ Fidelity)
  • MABWiser: Contextual Multi-Armed Bandits, ICTAI 2019 [code]
• Ansel Vahle, Valentin Perez, Sean Segal, BSc, Brown University 2018
  • Capstone Graduation Project on Online SAT Solving
• Kevin Leo, MSc, NICTA, Australia & Giovanni Di Liberto, MSc, University of Padua, Italy (Post-doc @ École Normale Supérieure)
  • DASH: Dynamic Approach for Switching Heuristics, EJOR 2016
• André A. Ciré, PhD, CMU, 2014 (Asst. Prof @ University of Toronto)
  • Parallel Restarted Search, AAAI 2014
• Barry Hurley, BSc, University College Cork, Ireland
  • Transformation-based Feature Computation for Algorithm Portfolios, CoRR 2014
• Peter Backeman, MSc, Uppsala University, 2013 (PhD student @ Uppsala)
  • Propagating the nvector constraint: Haplotype inference using constraint programming
• Siddhartha Jain, BSc, Brown University, 2010 (Applied Scientist @ Amazon AI)
  • Upper Bounds on the Number of Solutions of Binary Integer Programs, CPAIOR 2010