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, SUTD Kickstarter Initiative (SKI) Grant, 3 years, 500000
Privacy-protected AI Methods for Restricted Surveillance of Mobile Communications
Privacy-protected AI Methods for Restricted Surveillance of Mobile Communications
Dynamic Crowdsourcing Mechanisms for Decarbonising Urban Passenger Transportation and Package Delivery
Duan Lingjie, 2023, Joint SMU-SUTD Grant, 2 years, 300000
Dynamic Crowdsourcing Mechanisms for Decarbonising Urban Passenger Transportation and Package Delivery
Dynamic Crowdsourcing Mechanisms for Decarbonising Urban Passenger Transportation and Package Delivery
Quasispecies Analysis of SARS-CoV-2 via Non-convex Tensor Completion
Lin Meixia, 2023, Temasek Labs@SUTD, 1 year, 100000
Quasispecies Analysis of SARS-CoV-2 via Non-convex Tensor Completion
Quasispecies Analysis of SARS-CoV-2 via Non-convex Tensor Completion
Fast Learning And Channel Hopping For Anti-Jamming Defense
Duan Lingjie, 2023, DSO National Laboratories, 1 year, 249997
Fast Learning And Channel Hopping For Anti-Jamming Defense
Fast Learning And Channel Hopping For Anti-Jamming Defense
ASEAN Network Collaboration Using FF-ICE
Jackson Peter, 2023, CAAS, 2 years, 560000
ASEAN Network Collaboration Using FF-ICE
ASEAN Network Collaboration Using FF-ICE
GPU-Accelerated Algorithms for Multi-Sensor Data Association for Multi-Target Tracking.
Nagi Rakesh, 2023
GPU-Accelerated Algorithms for Multi-Sensor Data Association for Multi-Target Tracking.
GPU-Accelerated Algorithms for Multi-Sensor Data Association for Multi-Target Tracking.
Hybrid AI/ML-Optimization Approaches to Cloud Native Workflow Scheduling,” IBM-Illinois Discovery Accelerator Institute
Nagi Rakesh, 2023, IBM-Illinois Discovery Accelerator Institute
Hybrid AI/ML-Optimization Approaches to Cloud Native Workflow Scheduling,” IBM-Illinois Discovery Accelerator Institute
Hybrid AI/ML-Optimization Approaches to Cloud Native Workflow Scheduling,” IBM-Illinois Discovery Accelerator Institute
Mitigating the Harm of Fentanyl through Holistic Demand/Supply-Chain Interventions and Equitable Resource Allocations,” National Science Foundation (USA)
Nagi Rakesh, 2023, National Science Foundation
Mitigating the Harm of Fentanyl through Holistic Demand/Supply-Chain Interventions and Equitable Resource Allocations,” National Science Foundation (USA)
Mitigating the Harm of Fentanyl through Holistic Demand/Supply-Chain Interventions and Equitable Resource Allocations,” National Science Foundation (USA)
Building Proposal Development Evaluation with Artificial Intelligence
Varvitsiotis Antonios, 2022, Urban Redevelopment Authority (URA), 3 years
Building Proposal Development Evaluation with Artificial Intelligence
Building Proposal Development Evaluation with Artificial Intelligence
Towards Co-clustering in Big Data: An optimization perspective
Lin Meixia, 2022, SUTD Kickstarter Initiative (SKI) Grant, 3 years, 470000
Towards Co-clustering in Big Data: An optimization perspective
Towards Co-clustering in Big Data: An optimization perspective