Hardware design, intelligent hardware, co-design, reconfigurable computing (FPGAs), communication interfaces, rapid prototyping, and system modelling. Applications in cryptography, security, artificial intelligence (AI), and machine learning (ML).
Smart Technologies:
Integration of intelligent technology in smart city applications. Modern hardware devices, artificial intelligence, machine learning, modeling, and rapid prototyping of systems within the context of Internet of things, connected and autonomous electric vehicles, intelligent transportation systems, smart homes, and controlled-environment agriculture and food safety.
Computing & Engineering Education:
Quality assurance, programme and institutional accreditation, curriculum development, pedagogy, and effective teaching and learning. Emphasis on sustainability in education and STEM initiatives.