Optimisation & Decision Science
This interdisciplinary field, from resource allocation to logistics, utilizes mathematical modeling and analytical methodologies for informed decision-making. It ensures efficient resource utilization, cost minimization, and goal achievement in various sectors.
Privacy-protected AI Methods for Restricted Surveillance of Mobile Communications
Duan Lingjie (2023)
Dynamic Crowdsourcing Mechanisms for Decarbonising Urban Passenger Transportation and Package Delivery
Duan Lingjie (2023)
Quasispecies Analysis of SARS-CoV-2 via Non-convex Tensor Completion
Lin Meixia (2023)
Fast Learning And Channel Hopping For Anti-Jamming Defense
Duan Lingjie (2023)
ASEAN Network Collaboration Using FF-ICE
Jackson Peter (2023)
GPU-Accelerated Algorithms for Multi-Sensor Data Association for Multi-Target Tracking.
Nagi Rakesh (2023)
Hybrid AI/ML-Optimization Approaches to Cloud Native Workflow Scheduling,” IBM-Illinois Discovery Accelerator Institute
Nagi Rakesh (2023)
Mitigating the Harm of Fentanyl through Holistic Demand/Supply-Chain Interventions and Equitable Resource Allocations,” National Science Foundation (USA)
Nagi Rakesh (2023)
Building Proposal Development Evaluation with Artificial Intelligence
Varvitsiotis Antonios (2022)
Towards Co-clustering in Big Data: An optimization perspective
Lin Meixia (2022)