Data Science & Analytics
This field, situated at the intersection of technology, statistics, and business strategy, is dedicated to extracting valuable insights from diverse datasets. Utilizing advanced algorithms and machine learning techniques, data scientists analyze information to uncover patterns, trends, and correlations, driving innovation across industries.
Rapid Evaluation Tools Within the Intelligent Optimisation Platform
Antunes Ribeiro Nuno (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)
Adaptive Learning for Interactive Agents and Systems
Varvitsiotis Antonios (2020)
On Enhancing Robustness of Networks to Dependence via Optimization
Natarajan Karthik (2020)
Airfield Management and Economics
Antunes Ribeiro Nuno (2019)
Data Driven Design Solutions for Cities Urban Science
Benita Francisco (2019)
Information Sharing and Collaborative Decision Making
Murthy Karthyek (2019)
Learning from Common Connections in Social Networks
Das Bikramjit (2018)