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, NRF (Aviation Transformation Programme), 2 years, 500000
Rapid Evaluation Tools Within the Intelligent Optimisation Platform
Rapid Evaluation Tools Within the Intelligent Optimisation Platform
Resilient Airspace Operations for Singapore
Antunes Ribeiro Nuno, 2021, NRF (Aviation Transformation Programme), 2 years, 400000
Resilient Airspace Operations for Singapore
Resilient Airspace Operations for Singapore
Analysis of Optimization Algorithms Using Sum of Squares
Varvitsiotis Antonios, 2020, SUTD, 3 years
Analysis of Optimization Algorithms Using Sum of Squares
Analysis of Optimization Algorithms Using Sum of Squares
Data-driven Modeling for Risk-averse Analytics and Reliable Operations
Murthy Karthyek, 2020, Ministry of Education Tier 2 Academic Research Funding, 3 years, 799996
Data-driven Modeling for Risk-averse Analytics and Reliable Operations
Data-driven Modeling for Risk-averse Analytics and Reliable Operations
Adaptive Learning for Interactive Agents and Systems
Varvitsiotis Antonios, 2020, ANR-NRF, 3 years
Adaptive Learning for Interactive Agents and Systems
Adaptive Learning for Interactive Agents and Systems
On Enhancing Robustness of Networks to Dependence via Optimization
Natarajan Karthik, 2020
On Enhancing Robustness of Networks to Dependence via Optimization
On Enhancing Robustness of Networks to Dependence via Optimization
Airfield Management and Economics
Antunes Ribeiro Nuno, 2019, Civil Aviation Authority of Singapore, 2 years, 500000
Airfield Management and Economics
Airfield Management and Economics
Data Driven Design Solutions for Cities Urban Science
Benita Francisco, 2019, MOE-SGP Growth Plan Grant for Cities, 3 years, 500000
Data Driven Design Solutions for Cities Urban Science
Data Driven Design Solutions for Cities Urban Science
Information Sharing and Collaborative Decision Making
Murthy Karthyek, 2019, Civil Aviation Authority of Singapore, 2.5 years, 600000
Information Sharing and Collaborative Decision Making
Information Sharing and Collaborative Decision Making
Learning from Common Connections in Social Networks
Das Bikramjit, 2018, MOE Tier 2 Grant, 3 years, 400000
Learning from Common Connections in Social Networks
Learning from Common Connections in Social Networks