Covers optimization principles, including linear optimization, networks, and concrete research examples in transportation.
Explores challenges in entity resolution in data streams and proposes optimizations to enhance resolution throughput and handle imbalanced distributions.
Covers real-time traffic management, including traffic flow modeling, control strategies, sensors, and public transport priority.
Covers the concept and benefits of ramp metering, its implementation issues, and case studies from Amsterdam and Australia.
Explores degree of freedom analysis, redundancy, and data reconciliation in process modeling and optimization.
Covers optimization methods, focusing on gradient methods and line search techniques.
