Renowned Machine Learning Scholar Professor Mohamed Mokbel Delivers Distinguished Lecture

Professor Mohamed Mokbel from University of Minnesota, USA delivered an online Distinguished Lecture on “Machine Learning for Big Spatial Data and Applications” on 26 January 2022. The lecture was organised in celebration of the 60th anniversary of the Faculty of Science, HKBU. In the lecture, Professor Mokbel presented the Sya system as a full-fledged spatial machine learning based probabilistic knowledge base construction system and machine-learning-based techniques for spatial autologistic regression and map services. The participants were enthusiastic about the topic and exchanged their thoughts during the Q&A session.

 

Professor Mohamed Mokbel (PhD, Purdue University, MS, BS, Alexandria University) is a Professor at the University of Minnesota. Prior roles while on leave/sabbatical from UMN include Chief Scientist of Qatar Computing Research Institute, Founding Technical Director of GIS Technology Innovation Center in Saudi Arabia, and multiple times Visiting Researcher at Microsoft Research, USA. His research interests include database systems, spatial data, and GIS. His research work has been recognized by the NSF CAREER Award, VLDB 10-years Best Paper Award, and four conference Best Paper Awards. Professor Mokbel is the past elected Chair of ACM SIGSPATIAL, current Editor-in-Chief for Springer Distributed and Parallel Databases (DAPD) Journal, and on the editorial board of ACM Books, ACM TODS, VLDB Journal, ACM TSAS, and GeoInformatica journals. He has served as PC Co-Chair for ACM SIGMOD, ACM SIGSPATIAL, and IEEE MDM. Mohamed is an IEEE Fellow and ACM Distinguished Scientist.