Dr. Peter Taiwo is a Research Engineer at the Center for Equitable Artificial Intelligence and Machine Learning Systems (CEAMLS) at Morgan State University and an Electrical and Computer Engineer with over a decade of experience in advanced signal processing, communication systems, artificial intelligence, and data-driven decision technologies. He earned his Doctor of Engineering degree from Morgan State University.
Dr. Taiwo’s research focuses on the development of trustworthy and explainable AI systems, with particular emphasis on adaptive signal processing, reinforcement learning, and transformer-based machine learning architectures. His work addresses challenges in network resilience and connectivity, intelligent sensing, early warning systems, and multi-criteria decision-making in complex environments. He is a co-inventor on an issued patent and is currently developing additional intellectual property, reflecting his commitment to translating research into deployable, real-world solutions.
His research and applied work have been carried out in collaboration with major government and industry partners, including the Frontier Development Lab (in partnership with NASA, DOE, Google, and NVIDIA), the U.S. Army Research Laboratory (ARL), Consumer Reports, and the Applied Research Laboratory for Intelligence and Security (ARLIS). Through these efforts, Dr. Taiwo has contributed to AI-driven solutions supporting critical infrastructure, consumer protection, safety, and national resilience.
In addition to his research activities, Dr. Taiwo is a dedicated educator and mentor. He has designed curricula and taught courses in Digital Signal Processing, Machine Learning, Communication Systems, and Digital Logic, integrating research-driven insights into the classroom to prepare students for modern engineering challenges. At CEAMLS, he contributes to interdisciplinary research, student training, and partnerships aligned with the center’s mission to advance equitable, responsible, and impactful AI and machine learning systems.