Post-choice reassignment
Frames reassignment as a recovery problem after an initial allocation, instead of treating every disruption as a fresh assignment problem.
ReACT-TTC Spotlight
Featured paper
ReACT-TTC: Capacity-Aware Top Trading Cycles for Post-Choice Reassignment in Shared CPS
A mechanism-design approach for recovering shared cyber-physical systems when the original assignment is disrupted by human behavior, capacity limits, or changing preferences.
ICCPS 2026
Why this problem matters
Shared CPS often rely on an initial assignment: an EV is routed to a charger, a user is assigned a resource, or a system reserves capacity for a task. In practice, users may change their decisions, resources may become unavailable, and the system must recover without restarting from scratch.
DomainShared CPS and EV charging
MethodTop trading cycles with capacity awareness
GoalPost-choice reassignment after disruption
Main Contributions
Capacity-aware TTC
Extends top trading cycles to support shared CPS settings where resource capacity and agent preferences both shape feasible exchanges.
Human-aware recovery
Targets real CPS behavior: agents do not always follow the plan, and infrastructure systems need principled ways to adapt.
Where This Research Is Going
ReACT-TTCcapacity-aware recovery after initial choice
W-TTCweighted utility and priority-aware exchange
KATCHopen-slot and capacity-aware reassignment framework
ApplicationsEVs, UAV logistics, emergency response, edge/IoT
This line of work is part of my broader research agenda on game-theoretic, optimization-based, and learning-enabled decision-making for shared cyber-physical systems under uncertainty.