Anurag Satpathy
Postdoctoral Fellow | Computer Science | Missouri S&T
Cyber-Physical Systems for equitable, reliable decision-making under uncertainty.
I design mechanisms and equilibria for distributed resource coordination in intelligent Cyber-Physical Systems operating under uncertainty, resource limits, mobility, and heterogeneous human behavior.
Faculty Search Snapshot
Research
CPS, mechanism design, intelligent infrastructure, public safety systems, EV charging, and UAV-assisted logistics.
Methods
Game theory, optimization, matching, equilibrium analysis, learning-enabled coordination, and simulation-based evaluation.
Applications
Intelligent transportation, shared charging infrastructure, emergency response, healthcare logistics, vehicular edge, and IoT.
Teaching
Operating Systems, Computer Networks, Distributed Systems, Cloud/Edge Computing, Algorithms, IoT, and Cyber-Physical Systems.
Latest Spotlight
ReACT-TTC at ICCPS 2026
My latest ICCPS/CPS-IoT Week work introduces a capacity-aware Top Trading Cycles mechanism for post-choice reassignment in shared Cyber-Physical Systems, with an EV charging case study and at least 43% improvement in user satisfaction under non-compliant behavior.
I am a Postdoctoral Fellow at the Missouri University of Science and Technology, working with Prof. Sajal K. Das. My research develops game-theoretic, optimization-based, and learning-enabled frameworks for distributed resource coordination in Cyber-Physical Systems (CPS), with applications in intelligent transportation, EV charging coordination, UAV-assisted healthcare logistics, emergency response, public safety systems, vehicular edge computing, and IoT systems.
Before joining Missouri S&T, I completed my Ph.D. in Computer Science and Engineering at the National Institute of Technology Rourkela under the supervision of Prof. Manmath Narayan Sahoo. My doctoral work focused on resource management and re-embedding strategies for virtual data centers over multi-domain substrate networks.
Faculty Research Agenda
My future research group will build decision-making systems for shared infrastructure where transportation, energy, healthcare logistics, emergency response, and edge/IoT computing intersect. The agenda is organized around three pillars:
- Strategic resource coordination in Cyber-Physical Systems
- Human-aware mobility, energy, and emergency response systems
- Learning-enabled mechanisms for uncertain shared infrastructure
Research Focus
Decision-making under uncertainty
Mechanism design, equilibrium analysis, and learning-enabled models for resource allocation, matching, routing, scheduling, and reassignment.
Human-aware CPS
Fairness, behavior-aware coordination, and real-time constraints in large-scale cyber-physical and public safety systems.
Mobility and infrastructure
EV charging, intelligent transportation, UAV-enabled logistics, vehicular edge computing, and emergency response networks.
Selected Directions
- Cyber-Physical Systems and intelligent transportation
- EV charging and routing coordination
- UAV-assisted healthcare and medical logistics
- Emergency response and public safety systems
- Vehicular edge, IoT, cloud-edge, and resource-constrained computing
For Search Committees
My faculty research agenda centers on principled algorithmic foundations for socially responsible CPS: systems that are efficient, adaptive, and fair while operating with uncertain demand, dynamic mobility, and limited infrastructure. I am interested in building an independent research group at the intersection of distributed systems, optimization, game theory, machine learning, and real-world CPS deployments.
Please see my research overview, publications, teaching profile, funding and proposal activities, and CV.