I-HAUL
Intelligent aerial logistics for time-critical organ transportation, combining UAV routing, clinical workflow constraints, stakeholder discovery, and technology-readiness planning.
Funding & translation →Research Portfolio
Selected research projects connecting mechanism design, optimization, learning, and distributed systems to EV charging, mobility, healthcare logistics, public safety, edge computing, and cloud infrastructure.
Intelligent aerial logistics for time-critical organ transportation, combining UAV routing, clinical workflow constraints, stakeholder discovery, and technology-readiness planning.
Funding & translation →Behavior-aware EV charging assignment for fair and predictable access under congestion, uncertainty, strategic behavior, and mobility-dependent delay.
Proposal details →Scalable reassignment mechanisms for strategic agents sharing constrained resources under noncompliance, uncertainty, and dynamic preferences.
Coalition-formation and learning-based coordination for UAV-assisted emergency communication and behavior-aware resource allocation.
Stable matching and co-optimization frameworks including SMART-CHARGE, SMEVCA, and CARGO for charging assignment and delivery logistics.
Routing under evolving stochastic congestion, uncertain hazard spread, and selfish mobility behavior in time-critical evacuation settings.
Mobility-aware and fairness-aware offloading mechanisms including MIME, MOVE, LBA, LETO, A-DAFTO, M-DAFTO, and Fair-Match.
Matching, coalition, and meta-heuristic approaches for VDC re-embedding, VM placement, workload migration, and serverless-edge scheduling.
For outputs from these projects, see Publications. For awarded and submitted support, see Funding.