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.
Towards Co-clustering in Big Data: An Optimization Perspective
Lin Meixia (2022)
Airfield and Airspace Management
Antunes Ribeiro Nuno (2022)
Translational Research
Jackson Peter (2022)
Computer Science Approaches to Quantum Computing for Finance
Varvitsiotis Antonios (2022)
To Motivate Human-in-the-loop Learning of Complex Traffic Networks
Duan Lingjie (2022)
Rapid Evaluation Tools Within the Intelligent Optimisation Platform
Antunes Ribeiro Nuno (2021)
Rapid Evaluation Tools within the Intelligent Optimization Platform (IOP)
Jackson Peter (2021)
Resilient Airspace Operations for Singapore
Antunes Ribeiro Nuno (2021)
Analysis of Optimization Algorithms Using Sum of Squares
Varvitsiotis Antonios (2020)
Data-driven Modeling for Risk-averse Analytics and Reliable Operations
Murthy Karthyek (2020)