Dr. Manoj Kollam is an educator, researcher, and engineering professional specializing in embedded systems, artificial intelligence, machine learning, high-performance computing, parallel processing, and GPU-accelerated technologies. He serves in the Department of Electrical and Computer Engineering at The University of the West Indies, St. Augustine Campus, where he contributes to teaching, research, student supervision, and the advancement of computing and electronic systems.
He earned his Ph. D. in Electrical and Computer Engineering from The University of the West Indies. His doctoral research focused on developing machine-learning approaches for earthquake forecasting through parallel processing, reflecting his commitment to applying advanced computing methods to complex real-world challenges. His broader technical expertise includes microprocessors, digital electronics, VLSI, real-time operating systems, device drivers, Internet of Things technologies, and industrial embedded applications.
Before joining UWI, Dr. Kollam held academic positions at KL University and ATME College of Engineering and gained industry experience as an embedded software engineer. His scholarly work includes journal articles, conference papers, and research on CUDA-enabled forecasting, optimization algorithms, smart systems, wireless sensor networks, and automation. Through interdisciplinary research and dedicated teaching, he continues to promote practical innovation, computational efficiency, and technology-driven solutions across engineering education, intelligent infrastructure, disaster resilience, and advanced computing applications.
He earned his Ph. D. in Electrical and Computer Engineering from The University of the West Indies. His doctoral research focused on developing machine-learning approaches for earthquake forecasting through parallel processing, reflecting his commitment to applying advanced computing methods to complex real-world challenges. His broader technical expertise includes microprocessors, digital electronics, VLSI, real-time operating systems, device drivers, Internet of Things technologies, and industrial embedded applications.
Before joining UWI, Dr. Kollam held academic positions at KL University and ATME College of Engineering and gained industry experience as an embedded software engineer. His scholarly work includes journal articles, conference papers, and research on CUDA-enabled forecasting, optimization algorithms, smart systems, wireless sensor networks, and automation. Through interdisciplinary research and dedicated teaching, he continues to promote practical innovation, computational efficiency, and technology-driven solutions across engineering education, intelligent infrastructure, disaster resilience, and advanced computing applications.