Manish Bansal

• Ph.D., Industrial and Systems Engineering, Texas A&M University
• M.S. (Thesis), Industrial and Systems Engineering, Texas A&M University
• B.Tech., Electrical Engineering, National Institute of Technology, India

• Associate Professor, Department of Industrial and Systems Engineering, Virginia Tech, August 2022 - Present
• Core Faculty Member, Sanghani Center for Artificial Intelligence and Data Analytics, Computer Science Department, Virginia Tech, Sept 2023 - Present
• Affiliate Faculty Member, National Security Institute, Virginia Tech, Aug 2022 - Present
• Assistant Professor, Department of Industrial and Systems Engineering, Virginia Tech, August 2016 - July 2022
  
• Postdoctoral Fellow, Department of Industrial Engineering and Management Sciences, Northwestern University, October 2014 - August 2016
• Research Assistant,  Department of Industrial and Systems Engineering, Texas A&M University, January 2011 - July 2014
  

• ISE 2404: Deterministic Operations Research I
• ISE 5405: Optimization I
  
• ISE 5406: Optimization II
• ISE 5984: Large-Scale Stochastic Optimization

For the latest list of publications, please refer to my CV or Google Scholar Page. Please click a title in orange to view the abstract. Students are indicated with *

[P29] S. Park* and M. Bansal, “Stackelberg Games with k-Submodular Function under Distributional Risk-Receptiveness and Robustness,” under review, 2024.

[P28] S. Kang* and M. Bansal, “Distributionally ambiguous multistage stochastic integer and disjunctive programs: Applications to sequential two-player interdiction games,” Mathematical Programming (Major Revision), 2023

[P27] S. Park*, M. Bansal, “Algorithms for cameras view-frame placement problems in the presence of an adversary with distributional ambiguity,” IEEE Transactions on Automation Science and Engineering (Accepted). 2023. 

[P26] M. Bansal, “Semi-infinite generalized disjunctive and mixed integer convex programs with(out) uncertainty,” under review, 2023.

[P25]  M. Bansal, ``Semi-infinite mixed binary and disjunctive programs: Applications to implicit hitting set and set-covering with infinite demand points," under review, 2023.

[P24] K. Kulkarni* and M. Bansal, “Transportation and inventory planning in serial supply chain with heterogeneous capacitated vehicles,''Management Science (Major Revision), December 2022.

[P23] K. Kulkarni* and M. Bansal, "Exact algorithms for multi-module capacitated lot-sizing problem, and its generalizations with two-echelons and piecewise concave production costs," IISE Transactions, 2022.

[P22] S. Kang*, M. Bansal, "Distributionally risk-receptive and risk-averse network interdiction problems with general ambiguity set," Networks 81(1), 3-22, 2022.

[P21] K. Kulkarni*, M. Bansal, "Discrete Multi-Module Capacitated Lot-Sizing Problems with Multiple Items," Operations Research Letters 50 (2), 168-175, 2022.

[P20] H. Gangammanavar, M. Bansal, "Stochastic Decomposition Method for Two-Stage Distributionally Robust Optimization," SIAM Journal on Optimization 32(3), 1901-1930, 2022.

[P19] P. Borwankar*, W. Zhao, R. Kapania, M. Bansal, “Optimization of hybrid composite laminates with distinct ply thicknesses using integer programming," American Institute of Aeronautics and Astronautics (AIAA) Journal (Accepted), 2022.

[P18] P. Borwankar*, W. Zhao, R. K. Kapania, and M. Bansal, "Two-level Weight Optimization of Composite Laminates using Integer Programming," American Institute of Aeronautics and Astronautics (AIAA) Journal 60(11), 6436-6446, 2022.

 [P17] M. Bansal, Y. Zhang*, "Scenario-based cuts for two-stage stochastic and distributionally robust p-order conic mixed integer programs," Journal on Global Optimization 81, 391-433, 2021.

[P16] M. Bansal, P. Shojaee*, “Planar Maximum Coverage Location Problem with Partial Coverage, Continuous Spatial Demand, and Adjustable Quality of Service”, Technical Report, 2020.

[P15] Y. Zhang*, M. Bansal, A. R. Escobedo, "Risk-neutral and risk-averse transmission switching for load shed recovery with uncertain renewable generation and demand," IET Generation, Transmission & Distribution 14 (21), 4936-4945, 2020.

[P14] P. Borwankar*, W. Zhao, R. K. Kapania, and M. Bansal, "Two-level Weight Optimization of Composite Laminates using Integer Programming," American Institute of Aeronautics and Astronautics (AIAA) SciTech Forum, 2021.

[P13] M. Bansal, S. Mehrotra, "On solving two-stage distributionally robust disjunctive programs with a general ambiguity set," European Journal of Operational Research 279(2), 296-307, 2019..

[P12] M. Bansal, "Facets for single module and multi-module capacitated lot-sizing problems without backlogging," Discrete Applied Mathematics, 255, 117-141, 2019.

[P11] M. Bansal, K. L. Huang, S. Mehrotra, "Decomposition algorithms for two-stage distributionally robust mixed binary programs," SIAM Journal on Optimization, 28(3), 2360-2383, 2018.

[P10] J. Hu, M. Bansal, S. Mehrotra, "​Robust decision making using a general utility set," European Journal of Operational Research, 269(2), 699-714, 2018.

[P9] M. Bansal, K. L. Huang, S. Mehrotra, "Tight second-stage formulations for two-stage stochastic mixed integer programming problems," SIAM Journal on Optimization, 28(1), 788-819, 2018.

[P8] M. Bansal, K. Kianfar, "Planar maximum coverage location problem with partial coverage and rectangular demand and service zones," INFORMS Journal on Computing, 29(1), 152-169, 2017.

[P7] M. Bansal, K. Kianfar, "Facets for the continuous multi-mixing set with general coefficients and bounded integer variables," Discrete Optimization, 26, 1-25, 2017.

[P6] M. Bansal, "Planar Maximum Coverage Location Problem with Partial Coverage and General Spatial Representation of Demand and Service Zones," Technical Report, 2017.

[P5] M. Bansal, K. Kianfar, "n-step cycle inequalities: facets for the continuous multi-mixing set and strong cuts for multi-module capacitated lot-sizing problem," Mathematical Programming, 154 (1), 113-144, 2015.

[P4] M. Bansal, K. Kianfar, "n-step cycle inequalities: facets for the continuous n-mixing set and strong cuts for multi-module capacitated lot-sizing problem (extended abstract)," In: Lee, J., Vygen, J. (eds) Integer Programming and Combinatorial Optimization. IPCO 2014. Lecture Notes in Computer Science, vol 8494. Springer.

[P3] M. Bansal, K. Kianfar, Y. Ding, and E. Moreno-Centeno, "Hybridization of bound-and-decompose and mixed integer feasibility to measure redundancy in structured linear systems," IEEE Transactions on Automation Science and Engineering, 10(4): 1151-1157, 2013.

[P2] A. Sen, A. Banerjee, A. Sinha, and M. Bansal, "Clinical decision support: Converging toward an integrated architecture," Journal of Biomedical Informatics, 45(5): 1009-1017, 2012.

[P1] M. Bansal, K. Kianfar, "An exact algorithm for coverage problem with a single rectangle," Proceedings of Industrial Engineering Research Conference, Cancun, 2010. 

• Modeling and Solution of Planar Facility Location Problems with Uncertainty. Sponsor: National Science Foundation. Role: PI. Share: 100%. Aug 2018 - August 2023.
• Novel Algorithms for Multi-Agent Autonomous Telerobotic Surveillance and Reconnaissance System. Sponsor: Automotive Research Center at University of Michigan; Role: PI; Share: 100%, Jan 2020 - July 2023.
• Novel Modeling and Analytical Approaches for Two-stage Assembly and Related Lot Streaming Problems. Sponsor: National Science Foundation. Role: Co-PI. Share: 50%. July 2021 - June 2024.
• Managing Data for Autonomous Vehicles. Sponsor: Cyber Commonwealth Initiative, Southwest Virginia; Role: PI; Share: 100%, July 2022 - June 2023
• Novel Algorithms for Stochastic Mixed Integer Programs with Application in Aircraft Designing under Uncertainty, ICTAS Junior Faculty Award, VT. Role: PI. Share: 67%. 2019-2021.
• Novel Data-Driven Algorithms for Autonomous Vehicle Path Planning Problems with Uncertain Data Parameters, Ground Vehicle Systems and Automotive Research Center, Michigan. Role: Co-PI. Share: 40%, 2019.

• Institute for Operations Research and the Management Sciences (INFORMS) - Member since 2010 
• Institute of Industrial and Systems Engineers (IISE) - Member since 2016
• Society for Industrial and Applied Mathematics (SIAM) - Member since 2018
• Mathematical Optimization Society - Member since 2018

• Elected President (2023-2024), Vice-President (2022-2023), and Secretary (2021-2022), Engineering Faculty Organization (EFO), VT, 2022-2023.
• Operations Research Area Lead, Industrial and Systems Engineering, Virginia Tech, 2023 - present.
• Chair, Optimization OR Faculty Search Committee, ISE-VT, 2022-2023.
• Elected Vice-President/President-Elect for INFORMS Junior Faculty Interest Group (JFIG), 2020-21; President of JFIG in 2021-22.
• Organizing Committee Member (Scheduling Chair), 2022 INFORMS Conference on Security, Arlington, VA.
• Stakeholder Committee Member, Apex Center for Entrepreneurs, Pamplin College of Business, Virginia Tech, Dec 2022 - present.
• Member of 2022 INFORMS Computing Society Student Paper Competition Committee.

ISE welcomes Dr. Manish Bansal in Fall 2016 (August 2016)