Postdoctoral Fellow · Computer Science · Missouri S&T

Cyber-Physical Systems for equitable, reliable decision-making under uncertainty.

I develop game-theoretic, optimization-based, and learning-enabled methods for coordinating shared cyber-physical infrastructure under uncertainty, mobility, limited resources, and heterogeneous human behavior.

Anurag Satpathy
40+Publications
700+Citations
$50KNSF I-Corps award
ICCPS 2026Featured recent work

Research themes

Building intelligent shared infrastructure

My work combines mechanisms, optimization, and learning to design systems that remain efficient, adaptive, and fair when real-world users and resources behave unpredictably.

01

Mechanisms & Decision Making

Resource allocation, matching, routing, scheduling, and reassignment using game theory, equilibrium analysis, and optimization.

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02

Human-Aware CPS

Fairness, strategic behavior, non-compliance, and real-time coordination in large-scale cyber-physical and public-safety systems.

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03

Intelligent Infrastructure

EV charging, intelligent transportation, UAV-enabled logistics, vehicular edge computing, emergency response, and IoT.

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Featured research

Recent work with real-world impact

ICCPS 2026

ReACT-TTC

Capacity-aware Top Trading Cycles for post-choice reassignment in shared Cyber-Physical Systems, demonstrated through EV charging coordination.

≥43% improvement in user satisfaction under non-compliant behavior.

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NSF I-Corps

I-HAUL

UAV-assisted healthcare logistics for time-sensitive transport, combining cyber-physical coordination with practical deployment constraints.

Co-PI & Technical Lead · $50K award.

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Public Safety

Emergency Response CPS

Decision-making and coordination frameworks for responders, UAVs, mobile resources, and edge/IoT infrastructure under uncertainty.

Mechanism design + learning + distributed systems.

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About

Research at the intersection of algorithms and cyber-physical systems

I am a Postdoctoral Fellow at Missouri University of Science and Technology, working with Prof. Sajal K. Das. My research develops principled methods for distributed resource coordination across transportation, energy, healthcare logistics, emergency response, 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 Prof. Manmath Narayan Sahoo.