Resilient Supply Chains & Logistics
Freight and supply networks designed for efficient operations and resilient response under uncertainty or disruption.
Explore areaSharan Srinivas
Associate Professor & Director of Graduate Studies
Industrial & Systems Engineering, University of Missouri
Operations Research + AI for Intelligent, Resilient & Autonomous Systems
My research integrates operations research, simulation, and AI for complex operational decisions. Current applications span logistics and mobility, human-robot operations, and intelligent production and service systems.
Operations Research + Artificial Intelligence
Methodological Research Themes
Mathematical & Combinatorial Optimization
Learning-Augmented & Adaptive Algorithms
Predictive-to-Prescriptive Analytics
Simulation & Intelligent Decision Support
These methods are integrated across four operational research domains.
Research Areas
Advanced Mobility & Logistics Systems
Optimization and AI for drones, electric fleets, air taxis, and coordinated ground-air logistics.
Explore areaAutonomous & Human-Robot Operations
Planning and adaptive coordination for humans, autonomous mobile robots (AMRs), and autonomous agents.
Explore areaIntelligent Production & Service Systems
AI + OR methods that connect operational data and predictions with planning and decision making.
Explore areaCurrent Research Projects
View all projects
Advancing Anchorage's Freight Transportation Network: A Comprehensive Analysis for Cost-Effective, Safe, and Resilient Operations
Simulation and optimization of freight routes, fleets, and infrastructure to improve Anchorage’s network reliability, safety, and resilience.
PFI-TT: Cloud-based Route Management Platform for Optimizing Last-Mile Logistics of Electric Truck and Drone Operations
Route management for last-mile logistics using electric trucks and drones.
IRES: Advancing Research on Optimizing Collaborative Human-Mobile Robot Operations for Next-Generation Manufacturing and Service Systems
International research experiences focused on optimizing human–mobile robot collaboration in manufacturing and service systems.
A Risk-Aware Decision-Support Platform for Commodity Pricing under Market Uncertainty
Predictive and decision analytics for steel procurement under price uncertainty.
Research Impact
- externally funded research
- $4M+
- peer-reviewed journal publications
- 50
- citations
- 3,000+
- students mentored
- 13 PhD · 14 MS · 50+ undergraduate
OPTIDEC
Optimization & Intelligent Decision Systems Lab
Graduate and undergraduate researchers work across optimization, AI, analytics, simulation, and complex operational systems, through sponsored research and research training.
Meet OptiDec
NSF I-Corps · 2026
Translating Human-Robot ResearchCobot iCommander applies optimization and AI-enabled decision support to coordinate humans, autonomous mobile robots (AMRs), and warehouse tasks in real time.
Academic Profile
- Associate Professor, Industrial & Systems Engineering
- Director of Graduate Studies
- Affiliate Faculty, Quantum Innovation Center
- Core Faculty, Institute for Data Science and Informatics
Education
- 2017PhD · Penn State
Industrial Engineering & Operations Research
- 2015MEng · Penn State
Industrial Engineering & Operations Research
- 2013MS · Binghamton University
Industrial & Systems Engineering
- 2011BE · College of Engineering, Guindy / Anna University
Industrial Engineering
Teaching & Education
Courses and research training connect optimization, analytics, simulation, AI, and emerging technologies with hands-on operational problems.
Leadership & Service
- Conference Leadership
- Program Chair · 2027 IISE Annual Conference
- Professional Leadership
- Former President · IISE Operations Research Division
- Editorial Service
- Transportation Research Part E · Scientific Reports
Selected Recognition
News archive2026
Award
1st Place in the 2026 IISE DAIS Mobile/Web App Competition: Pyam Oveys, Sharan Srinivas, and James Noble.
2026
Award
John L. Imhoff Global Excellence Award for Industrial Engineering Education · ASEE
2026
Award