
Dr. Abubakr Muhammad
Dr. Abubakr Muhammad is a distinguished figure in the field of electrical engineering, holding the position of Associate Professor at Lahore University of Management Sciences (LUMS), Pakistan. With a rich academic background, he earned his PhD in Electrical Engineering from the Georgia Institute of Technology, USA, in 2005, where he was honored with the Sigma-Xi Best PhD Thesis Award. He went on to hold various positions at prestigious institutes including the General Robotics, Sensing & Perception Lab (GRASP) at University of Pennsylvania and the Center for Intelligent Machines (CIM) at McGill University, Canada. He also served as the Chair of Electrical Engineering at LUMS from 2019 to 2022. His commitment to academic excellence is evident through his extensive research contributions, spanning the intersections of technology, society, and the environment.
As the founding Director of the Center for Water Informatics & Technology (WIT) at LUMS, Dr. Abubakr has delved into research areas crucial to the well-being of societies, including water resources, systems and control, hydro-informatics, socio-ecological systems, and agricultural robotics. His work reflects a deep commitment to addressing complex challenges in human-water systems, particularly focusing on the water-energy-food nexus models.
Throughout his academic journey, Dr. Abubakr has held various key positions, including Chair of Electrical Engineering and visiting appointments at prestigious institutions such as the University of Oxford and King Abdullah University of Science and Technology (KAUST), Saudi Arabia. His international collaborations and research affiliations underline the global impact of his work. He has also contributed significantly to the academic community through his service as an OCIS Visiting Fellow at the University of Oxford and as a Jr. Associate Member at the International Center for Theoretical Physics (ICTP), Trieste, Italy.
Dr. Abubakr's publication record is both prolific and diverse, covering topics from demand-driven irrigation systems to flood disaster assessment using remote sensing. His research output demonstrates a commitment to developing innovative conceptual models and tools for water resource management.