Background and activities

Mohib Ullah (Member, IEEE) is a Postdoctoral Research Fellow with NTNU, where he is involved in different research, management, teaching, and industrial projects. His research interests include medical imaging, crowd analysis, object segmentation, behavior classification, and tracking. In these research areas, he has published a number of high impact peer-reviewed journals, conferences, and workshop articles. He served as a Program Committee Member for the International Workshop on Computer Vision in Sports (CVsports). He also served as a Chair for the Technical Program at the European Workshop on Visual Information Processing. He is the Reviewer of well-reputed conferences and journals (Neurocomputing (Elsevier), Neural Computing and Applications (Elsevier), Multimedia Tools and Applications (Spring), IEEE ACCESS, the Journal of Imaging, IEEE CVPRw, IEEE ICIP, and IEEE AVSS).

Background:

BSc (Electronic and Computer Engineering) from Politecnico Di Torino, Torino Italy, 2012. 

MSc (Telecommunication Engineering) from the University of Trento, Trento Italy, 2015.

Ph.D. (Computer science) from the Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology, Norway, 2019. 

Research Interests:

Image and video analysis

Medical imaging 

Deep learning

Pattern recognition

Satellite imaging

Teaching:

IMT4392 - Deep learning for visual computing, Master level. 

IMT3104 - Kunstig intelligent, Bachelor level. 

IMT3017 - Computer vision, Bachelor level.