Robert A. Sowah graduated with First Class from Kwame Nkrumah University of Science and Technology in 2000 with a BSc. in Electrical & Electronics Engineering. He received his Master of Engineering and PhD in Electrical and Computer Engineering from Howard University in 2005 and 2009, respectively. With over 15 years of teaching and research experience, Dr. Sowah is an Associate Professor at the University of Ghana and is currently an Adjunct Faculty at Ashesi University. He has published over 50 papers in refereed journals. His research interests include computational intelligence, machine learning applications in computer networks, healthcare, energy theft prevention, fault detection, and remedial control using signal processing algorithms and wavelet neural networks.

Dr. Sowah specializes in multi-sensor fire detection using Convolutional Neural Networks (CNNs) to enhance early detection and response times. In fault detection, he employs wavelet neural networks and advanced signal processing for robust fault identification and remedial control in complex systems. Dr. Sowah also focuses on fraud detection, applying machine learning to uncover energy theft and fraudulent health insurance claims. His work in real-time control systems aims to improve electric grid stability using Adaptive Dynamic Programming (ADP) and Reinforcement Learning (RL). He develops Multi-Agent Systems (MAS) for grid optimization and studies the impact of renewable energy sources on grid reliability.

Moreover, Dr. Sowah is dedicated to advancing smart home automation and smart grid technologies, using computational intelligence and modular hardware to counter energy theft. His research efforts drive innovations enhancing the safety, reliability, and efficiency of modern technological systems.