Dr. Lubaid Ahmed
Dr. Lubaid Ahmed is a highly accomplished Assistant Professor at UIT University (UITU), with a strong academic and research background in the field of Computer Science. He obtained his Ph.D. and M.Sc. degrees in Computer Science from Ryerson University in Toronto, Canada, in 2016 and 2010, respectively. His academic journey is marked by excellence, and he has amassed a considerable number of research publications over the years.
Dr. Ahmed's professional experience includes serving as an Assistant Professor at both UIT University and Usman Institute of Technology (UIT), where he has been actively involved in teaching and research. His research interests encompass a wide range of topics within the field of computer science, including image processing, automated face recognition, recommender systems, and more. His contributions to research have been published in reputable journals and conference proceedings, highlighting his dedication to advancing the field of computer science.
In his research work, Dr. Ahmed has delved into critical areas such as real-time logistics management systems, image processing techniques, and assistive technologies for the visually impaired. Notably, his research on an "In-door Obstacle Detection and Avoidance System for Visually Impaired People" was presented at the IEEE Global Humanitarian Technology Conference in 2020, emphasizing his commitment to developing solutions that have a positive impact on society. His impressive academic achievements and research contributions make him a valuable asset to UIT University's faculty, where he continues to inspire and contribute to the field of computer science.