Research
My research focuses on intelligent Cyber-Physical Systems (CPS) for distributed resource coordination in dynamic, resource-constrained edge/IoT environments. I model strategic interactions among self-interested agents accessing shared resources under real-time constraints, uncertain network conditions, heterogeneous user behavior, and application-specific operational challenges.
Using game-theoretic, optimization-based, and learning-enabled methods, I design resource-allocation mechanisms, establish stability and equilibrium conditions, and validate performance across mobility-driven, safety-critical, and human-in-the-loop CPS applications. My work contributes to mechanism design and equilibrium analysis for distributed CPS while addressing practical problems in intelligent mobility, EV charging, UAV-enabled healthcare logistics, and public safety.
Research Agenda
Future faculty research program
My independent research program is organized around three fundable thrusts:
Thrust 1: Mechanism design for shared CPS infrastructure
Problem: Shared CPS resources such as charging stations, UAV fleets, roadside units, edge servers, and emergency communication assets are limited, congested, and used by strategic agents.
Approach: I develop matching, exchange, reassignment, coalition-formation, and equilibrium-based mechanisms that remain stable under uncertainty, noncompliance, and heterogeneous user preferences.
Impact: This thrust supports fair and reliable coordination for transportation, energy, public safety, and edge/IoT infrastructure.
Thrust 2: Human-aware intelligent mobility and EV charging
Problem: EV charging, goods delivery, and urban mobility systems are affected by congestion, uncertain demand, subscription behavior, and user incentives.
Approach: I design behavior-aware assignment, charging-routing, and scheduling models that integrate strategic decisions with operational constraints.
Impact: This thrust advances sustainable and equitable mobility systems for smart cities and logistics networks.
Thrust 3: UAV-assisted emergency and healthcare logistics
Problem: Emergency response and healthcare logistics require time-sensitive decisions under uncertain hazards, network conditions, regulations, and clinical constraints.
Approach: I develop learning-enabled routing, resource allocation, and coordination frameworks for UAV-assisted communication, organ transport, evacuation, and medical logistics.
Impact: This thrust connects algorithmic CPS research with public safety, healthcare delivery, and translational technology pathways.
Behavior-aware and equitable Cyber-Physical Systems
I design algorithms that incorporate user behavior, satisfaction, fairness, and resource constraints into CPS decision-making. This includes matching, scheduling, reassignment, routing, and allocation mechanisms for shared public infrastructure and safety-critical systems.
Intelligent transportation and EV charging coordination
My work studies how transportation, energy, and computing systems can coordinate under uncertain demand, strategic user behavior, and changing network conditions. Recent directions include EV charging assignment, charging-and-routing co-optimization, subscription-based charging models, and energy-aware mobility services.
Emergency response and public safety systems
I develop methods for emergency routing, congestion-aware evacuation, public safety resource allocation, and dynamic response coordination. These systems require robust decisions despite uncertainty in mobility, hazards, congestion, and communication availability.
UAV-assisted healthcare and logistics
I study UAV-enabled logistics for time-sensitive healthcare applications, including medical and organ transport, where routing, energy, timing, and resource limits must be jointly optimized.
Vehicular edge, IoT, and cloud-edge systems
My earlier and ongoing work includes resource management for virtualized cloud systems, serverless platforms, vehicular edge computing, IoT-fog task offloading, and cloud-edge coordination.
Methods
- Mechanism design for distributed resource coordination in CPS
- Equilibrium analysis of strategic agents sharing constrained resources
- Game theory and matching theory
- Combinatorial optimization and resource allocation
- Learning-enabled decision-making under uncertainty
- Stable matching, scheduling, and reassignment in CPS
- Fairness-aware and behavior-aware system design
- Simulation, performance evaluation, and data-driven analysis
Application Domains
- Cyber-Physical Systems
- Intelligent transportation systems
- EV charging and energy-aware mobility
- UAV-assisted healthcare logistics
- Emergency response and public safety systems
- Vehicular edge and IoT computing
- Cloud, edge, and serverless computing
Long-Term Vision
My long-term goal is to build intelligent CPS that make reliable, adaptive, and socially responsible decisions in real time. I aim to develop an independent research program that combines rigorous algorithmic foundations with deployable systems for transportation, healthcare logistics, emergency response, and public infrastructure.
Research Projects
Representative project directions are summarized on the Research Projects page.