Reinforcement Learning, Deep Learning, Soft Computing, Evolutionary Computing, Genetic Algorithms, Nature-Inspired Algorithms, Applied Machine Learning to Societal problems such as Transportation, Agriculture, etc.
Cloud Computing, Grid Computing, Fog/Edge Computing, Internet of Things, Containerization, Virtualization, High Performance Computing, and Parallel Computing Paradigms.
Transport-CPS: Intelligent Autonomous Vehicles, Robotic Vehicles, Autonomous Vehicular Networking, Software-defined Networking and Blockchain-based Mobile Networks, Layer-3 Security in V2X communications, CPS for Battery Electric Vehicle Charging Infrastructure Optimisations, and Intelligent Transportation Systems.