Machine Learning & AI
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.
Towards Collaborative and Holistic Testing for Open RAN Solutions
Duan Lingjie (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)
Information Sharing and Collaborative Decision Making
Murthy Karthyek (2019)
Design of the Last Mile Transportation System: What Does the Customer Really Want?
Natarajan Karthik (2017)
Distributional Robust Optimization for Consumer Choice in Transportation Systems
Natarajan Karthik (2017)
On the Interplay of Choice, Robustness and Optimization in Transportation
Natarajan Karthik (2017)