Mr. Vijay Gupta
Designation: Professor of Practice
Biography:
Industrial AI and Decision Science leader with 20 years of experience in Process Systems Engineering, Operations Research, and AI/ML. He holds a PhD from Carnegie Mellon University and a B.Tech. from IIT Roorkee. His career spans Adani, Shell, IBM, and research or internship engagements with Carnegie Mellon University, ExxonMobil, Air Liquide, Indian Oil Corporation, and the Indian Institute of Petroleum. He specializes in large-scale planning, scheduling, supply chain and real-time optimization, stochastic programming, predictive analytics, and integrated AI/OR solutions. He has founded and scaled an Operations Research function, led multidisciplinary teams, and delivered commercial-grade decision solutions across energy, oil and gas, logistics, ports, airports, power, manufacturing, chemicals, and cement. His current interests include integrating Generative AI, LLMs, RAG, and Agentic AI with optimization and machine-learning pipelines for explainable and scalable decision support.
- Ph.D., Optimization & Chemical Engineering, Carnegie Mellon University, Pittsburgh, USA, 2008-2013. GPA: 3.93/4.00. Thesis: Modeling and Computational Strategies for Optimal Oilfield Development Planning under Fiscal Rules and Endogenous Uncertainties. Advisor: Prof. Ignacio E. Grossmann.
- B.Tech., Chemical Engineering, Indian Institute of Technology Roorkee, India, 2002-2006. GPA: 8.27/10.00. Project: Techno-economic feasibility report for hydrogen production from biomass gasification.
- Executive Education, Strategy and Digital Transformation, Indian School of Business, Hyderabad, March-September 2024. Strategic leadership modules included strategy, operational excellence, design thinking, finance, digital transformation, negotiation, transformational leadership, high-performance teams, and agile organizations.
- Adani Enterprises Limited – AI Labs, Head – Operations Research, Ahmedabad, November 2022-Present. Founded and leads the OR function; directs enterprise AI/OR solutions across ports, logistics, airports, energy, gas, cement, and power; develops hybrid AI/OR models and integrates LLMs and Agentic AI into planning and supply-chain systems.
- GoBOLT – Camions Logistics Solutions Pvt. Ltd., Director – Operations Research, Bengaluru, July-November 2022. Advised on algorithms, product development, UX, and business development; led the PRIMA linehaul optimizer and vehicle-routing initiatives.
- Shell India Markets Private Limited, Modeling and Optimization Engineer, Bengaluru, January 2019-June 2022. Led online real-time optimization, data reconciliation, monitoring, large-scale optimization, and data-science solutions for LNG, GTL, refinery, and chemical assets.
- Shell Global Solutions (US), Inc., Modeling and Optimization Engineer, Houston, June 2013-December 2018. Developed decision-support, asset-monitoring, production-estimation, and optimization applications supporting operational excellence in oil, gas, and petrochemicals.
- Carnegie Mellon University, Full-time Research Assistant, Pittsburgh, November 2008-May 2013. Developed GAMS/AIMMS optimization models, multistage stochastic-programming formulations, and decomposition algorithms for oilfield infrastructure planning under endogenous uncertainty and complex fiscal rules.
- IBM Global Business Services, Application Developer, Gurugram, July 2006-July 2008. Developed supply-chain, sales and distribution, and finance applications for ERP-SAP implementation programs.
- Summer internships: ExxonMobil Upstream Research Company, Computational Sciences Function, Houston (2012); Air Liquide Delaware Research & Technology Center, Process Control & Logistics Group, Newark (2011); Indian Oil Corporation Limited, refinery internship, Vadodara (2005); Indian Institute of Petroleum, summer research assistantship, Dehradun (2004).
- Process Systems Engineering: process modeling and simulation; optimal process synthesis, design and operations; real-time optimization; digital twins; proactive technical monitoring; and operational excellence.
- Operations Research: mixed-integer linear, nonlinear and disjunctive programming; multiperiod planning; capacity planning; scheduling; supply-chain and logistics optimization; vehicle routing; enterprise-wide optimization; decomposition; parallelization; and large-scale aggregated models.
- Decision-making under uncertainty: multistage stochastic programming with exogenous and endogenous uncertainty, robust optimization, risk-management strategies, and computational reformulations.
- Industrial applications: oil and gas, refineries, LNG, GTL, industrial gases, utilities, renewables, ports, airports, logistics, manufacturing, power, energy, chemicals, and cement.
- AI/ML: demand and price forecasting, predictive maintenance, corrosion monitoring, virtual flow metering, hybrid first-principles/data-driven modeling, and integrated predictive-prescriptive analytics.
- Generative and Agentic AI: LLM-based intelligent document processing, automated reporting, conversational analytics, RAG-enabled decision support, and integration of GenAI/agents with OR and ML pipelines.
- Gupta, V. and Grossmann, I. E. “Offshore oilfield development planning under uncertainty and fiscal considerations.” Optimization and Engineering, 2017, 18(1), 3-33.
- Tarhan, B., Gupta, V. and Grossmann, I. E. “Improving Dual Bound for Stochastic MILP Models using Sensitivity Analysis.” Manuscript listed as to be submitted.
- Gupta, V. and Grossmann, I. E. “Multistage Stochastic Programming Approach for Offshore Oilfield Infrastructure Planning under Production Sharing Agreements and Endogenous Uncertainties.” Journal of Petroleum Science and Engineering, 2014, 124, 180-197.
- Gupta, V. and Grossmann, I. E. “A New Decomposition Algorithm for Multistage Stochastic Programs with Endogenous Uncertainties.” Computers & Chemical Engineering, 2014, 62, 62-79.
- Marchetti, P., Gupta, V., Grossmann, I. E., Cook, L., Valton, P. M., Singh, T., Li, T. and André, J. “Simultaneous Production and Distribution of Industrial Gas Supply-Chains.” Computers & Chemical Engineering, 2014, 69, 39-58.
- Oliveira, F., Gupta, V., Hamacher, S. and Grossmann, I. E. “A Lagrangean Decomposition Approach for Oil Supply Chain Investment Planning under Uncertainty with Risk Considerations.” Computers & Chemical Engineering, 2013, 50, 184-195.
- Gupta, V. and Grossmann, I. E. “Modeling and Computational Strategies for Offshore Oilfield Development Planning under Complex Fiscal Rules.” Industrial & Engineering Chemistry Research, 2012, 51, 14438-14460.
- Gupta, V. and Grossmann, I. E. “An Efficient Multiperiod MINLP Model for Optimal Planning of Offshore Oil and Gas Field Infrastructure.” Industrial & Engineering Chemistry Research, 2012, 51(19), 6823-6840.
- Gupta, V. and Grossmann, I. E. “Solution Strategies for Multistage Stochastic Programming with Endogenous Uncertainties.” Computers & Chemical Engineering, 2011, 35, 2235-2247.
- “ML Enhanced Decision Model for Coal Supply Chain in Power Plants,” India Power Forum, Delhi, 2025.
- Publications/presentations at EURO, Gurobi Days India, Operations Research Society of India, Large Scale Optimization Conference, and India Management Research Conference, 2024-2025.
- Patra, D., Parmar, J. and Gupta, V. “Synergy in Coal Utilization and Supply Chain Network Design: A Multi-period MILP Framework for Optimization,” submitted to LSO 2025, IIT Roorkee.
- Tiwari, A., Bhansali, S., Kummari, R. and Gupta, V. “Predictive and Prescriptive Analytics for Enhanced Power Grid Operations,” submitted to ORSI 2024, IIT Bombay.
- Tiwari, A., Dixit, A. and Gupta, V. “Automated Decision-making for E-ITV Charging in Container Terminals,” submitted to IMRC 2024, IIM Ahmedabad.
- Knudsen, B. R., Foss, B., Grossmann, I. E. and Gupta, V. “Lagrangian Relaxation based Production Optimization of Tight-formation Wells,” submitted to DYCOPS 2013, Mumbai.
- Gupta, V. and Grossmann, I. E. “Incorporating Complex Fiscal Rules in Strategic Planning of Offshore Oil and Gas Fields,” PSE 2012, Singapore.
- Gupta, V. and Grossmann, I. E. “Computational Strategies for Multistage Mixed-integer Linear Stochastic Programs with Endogenous Uncertainty,” STOPROG 2012, Neringa, Lithuania.
- Gupta, V., Grossmann, I. E., Pathak, S. and André, J. “Assessing the Benefits of Production-Distribution Coordination in an Industrial Gases Supply-chain,” FOCAPO 2012, Georgia, USA.
- Gupta, V. and Grossmann, I. E. “Optimal Development Planning of Offshore Oil and Gas Field Infrastructure under Complex Fiscal Rules,” FOCAPO 2012, Savannah, USA.
- Gupta, V. and Grossmann, I. E. “Development Planning of Offshore Oilfield Infrastructure.” In Alternative Energy Sources and Technologies, Springer, 2016, pp. 33-89.
- Instructor for the three-day “Introduction to ROMeo” training for Shell India staff, 2019.
- Organized Lunch & Learn technical presentations for Shell’s Modeling and Optimization group, 2016-2017.
- Organized technical presentations and mentored junior engineers and new graduates during Shell Graduate and Advanced Technical Programs, 2013-2018.
- Initiated comprehensive training programs for new hires in the Adani AI Labs Operations Research function.
- Delivered internal talks on “LLMs for Industrial Optimization” and “GenAI in Supply Chain Planning” at Adani, 2025.
- Actively participated in and organized Shell Team Toastmasters sessions, 2021-2022.
- Spot Recognition Award for “Financial Modeling for Growth Decisions for Cement Business,” Adani, 2025.
- Completed Takshashila – Adani Leadership Development Program in collaboration with ISB Hyderabad, 2025.
- STAR Award for Shell Jurong Island EOG 1/2 RTO and DR-Monitoring Application, 2021.
- Shell Recognition Award for developing the Coil-Wounded Heat Exchanger Module for LNG plants, 2021.
- Surface Engineering Software and Technology Vantage Award at Shell for LNG optimization project work, 2020.
- Shell P&T VP Award, “The Power of Technology,” for LOTUS Dynamic Simulation work, 2019.
- Shell Recognition Award for real-time crude modeling and prescriptive crude-unit tracking, 2019.
- Shell Recognition Award for delivery of Smart Perform applications, 2016.
- Process Automation Control and Optimization Vantage Award at Shell for project-work excellence, 2014.
- Ken Meyer Award for Best PhD Thesis, Department of Chemical Engineering, Carnegie Mellon University, 2013.
- Young Researcher Travel Award, Foundations of Computer-Aided Process Operations, 2012.
- Graduate Fellowship, Carnegie Mellon University, 2008-2013.
- Merit-cum-Means Scholarship, IIT Roorkee, 2002-2006.
- Best B.Tech. Project Award in Chemical Engineering, IIT Roorkee, 2006.
- Winner, paper-presentation contest in Computer Applications in Chemical Engineering, IIT Roorkee, 2005.
- Corporal rank, National Cadet Corps annual training camp, India, 2002.