At the forefront of technological innovation, Machine Learning involves crafting algorithms for autonomous learning, while AI simulates human intelligence. Integrating multi-agent systems and game theory enhances decision-making in complex environments, finding applications in finance, cybersecurity, and resource management.
18 result(s)
Analysis of Optimization Algorithms Using Sum of Squares
Varvitsiotis Antonios (Pi), 2020, SUTD, 3 years

Analysis of Optimization Algorithms Using Sum of Squares

Data-driven Modeling for Risk-averse Analytics and Reliable Operations
(Pi), 2020, Ministry of Education Tier 2 Academic Research Funding, 3 years, $799,996

Data-driven Modeling for Risk-averse Analytics and Reliable Operations

Adaptive Learning for Interactive Agents and Systems
Varvitsiotis Antonios (Pi), 2020, ANR-NRF, 3 years

Adaptive Learning for Interactive Agents and Systems

On Enhancing Robustness of Networks to Dependence via Optimization
Natarajan Karthik (Pi), 2020

On Enhancing Robustness of Networks to Dependence via Optimization

Information Sharing and Collaborative Decision Making
(Pi), 2019, Civil Aviation Authority of Singapore, 2.5 years, $600,000

Information Sharing and Collaborative Decision Making

Design of the Last Mile Transportation System: What Does the Customer Really Want?
Natarajan Karthik (Pi), 2017

Design of the Last Mile Transportation System: What Does the Customer Really Want?

Distributional Robust Optimization for Consumer Choice in Transportation Systems
Natarajan Karthik (Pi), 2017

Distributional Robust Optimization for Consumer Choice in Transportation Systems

On the Interplay of Choice, Robustness and Optimization in Transportation
Natarajan Karthik (Pi), 2017

On the Interplay of Choice, Robustness and Optimization in Transportation