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Ashish Chandra

Assistant Professor
Department of Management
State Farm Hall of Business - SFH 241
Office Hours
Tuesdays and Thursdays 12:30 pm - 1:30 pm
  • About
  • Education
  • Research


Dr. Ashish Chandra is an Assistant Professor in the Department of Management and Quantitative Methods, at the College of Business. He received his Ph.D. in Quantitative Methods from the Krannert School of Management at Purdue University. Prior to his Ph.D., he obtained his MS in Operations Research from the Indian Institute of Technology Mumbai and BS in Mathematics from UM-DAE Centre for Excellence in Basic Sciences, Mumbai.

His research interest lies in the intersection of topics related to computer science, mathematical optimization, operations research, and applied probability. In particular, he is interested in developing optimization techniques for solving various NP-Hard stochastic optimization problems, which find applications in many risk-averse decision-making systems. During his Ph.D., Dr. Chandra has chaired and presented his research work at prestigious optimization conferences including INFORMS, IISE, and the International conference for continuous optimization. He has also collaborated with researchers from the computer science department at Purdue University and Argonne National Laboratory.

His teaching interest lies in the fields of Operations Management, Management Science, Business Analytics, Probability, and Statistics. At Illinois State University, he will be teaching Statistical Reasoning and Operations management.

During his spare time, he could be found playing some sort of sports or running around preparing for marathons.

Current Courses

100.001Statistical Reasoning

416.001Applied Tools For Business Decision Making

416.003Applied Tools For Business Decision Making

227.003Operations Management

Teaching Interests & Areas

Operations Management
Management Science
Business Analytics
Probability & Statistics

Research Interests & Areas

Stochastic optimization
Value-at-Risk minimization
Optimization under uncertainty
Mixed Integer Nonlinear programming

PhD Quantitative Methods

Krannert School of Management, Purdue University
West Lafayette, IN

MS Operations Research

Indian Institute of Technology Bombay
Mumbai, India

BS Mathematics

UM-DAE-Centre for Excellence in Basic Sciences
Mumbai, India

Journal Article

Chang, Yiyang, Chuan Jiang, Ashish Chandra, Sanjay Rao, and Mohit Tawarmalani. "Lancet: Better network resilience by designing for pruned failure sets." Proceedings of the ACM on Measurement and Analysis of Computing Systems 3, no. 3 (2019): 1-26.
Chandra, Ashish, and Mohit Tawarmalani. "Probability estimation via policy restrictions, convexification, and approximate sampling." Mathematical Programming 196, no. 1 (2022): 309-345.


Ashish Chandra. "Risk Minimization For Network Traffic Engineering ". INFORMS Annual Meeting, Phoenix, AZ, 2023.
Ashish Chandra. "Risk minimization in supply chain networks ". DSI 54th Annual Conference, Atlanta, GA, 2023.
Ashish Chandra, Mohit Tawarmalani. "Convex approximations of risk measures". International Conference on Continuous Optimization, Bethlehem, PA, 2022.
Ashish Chandra, Mohit Tawarmalani. "Convex Approximations Of Risk Measures With Applications To Chance-constrained Programming". INFORMS Annual Meeting, Indianapolis, IN, 2022.

Grants & Contracts

University Research Grant (URG). College of Business. Illinois State University. (2023)