Mrinal Mandal, PhD,MSc,M.E,B.E.

Professor, Faculty of Engineering - Electrical & Computer Engineering Dept

Pronouns: he/him/his;

Contact

Professor, Faculty of Engineering - Electrical & Computer Engineering Dept
Email
mmandal@ualberta.ca
Phone
(780) 492-0294
Address
11-277 Donadeo Innovation Centre For Engineering
9211-116 St
Edmonton AB
T6G 2H5

Overview

Area of Study / Keywords

Signal and Image Processing Machine Learning Biomedical Engineering


About

Mrinal K. Mandal received received his BE degree in Electronics and Communication Engineering from the National Institute of Technology, Durgapur, India in 1987; ME degree in Electronics and Communication Engineering from the Bengal Engineering and Science University, India in 1989; and MASc and PhD in Electrical and Computer Engineering from the University of Ottawa, Canada in 1995 and 1998, respectively.

From 1989 to 1992, he worked as a scientist in Indian Space Research Organization, Ahmedabad, India. From 1998 to 1999, he worked as a Software Developer at Corel Corporation, Ottawa. Since 1999 he has been with the Department of Electrical and Computer Engineering at the U of A, where he is currently a Professor. In 2005 he worked as a Humboldt Research Fellow at the Technical University of Berlin, Berlin, Germany.

Dr. Mandal is a senior Member of IEEE, and a registered professional engineer in the province of Alberta, Canada. He is an Associate Editor of the International Journal of Imaging Systems and Technology. He is the author of the book Multimedia Signals and Systems (Kluwer Academic, 2003), and co-author of the book Continuous and Discrete Time Signals and Systems (Cambridge University Press, 2007). He has published over 200 papers in refereed journals and conferences, and holds a US patent on discrete wavelet transform architecture. He was the recipient of Canadian Commonwealth Fellowship from 1993 to 1998, and Humboldt Research Fellowship (Germany) from 2005-2006.


Research

Research Interests

My research interests are in the area of image processing and analysis, with applications in medical imaging and document analysis. During the past one to two decades, there has been a significant increase in the level of interest in designing efficient image analysis systems for medical diagnosis. Many new application areas, such as the computer aided diagnostic systems, image visualization, content-based image and video retrieval, multimedia communications, image and video databases are feasible with the current technology. However, as new applications are coming up, new requirements are being specified, and a substantial amount of work remains to be accomplished in this area. My long term interest is in the development of image analysis techniques that help in computer aided diagnosis of critical diseases as well as in document image analysis.


Current Research

Computer-aided-diagnosis: We are developing efficient image analysis algorithms for healthcare applications. This includes histopathological and skin lesion image analysis to detect skin cancers such as melanoma. We are also developing techniques for brain MRI image analysis. The developed techniques will be helpful in automated detection of critical diseases and also can be useful as a second opinion.

Document Image Analysis and Understanding: We are developing intelligent techniques for analysis and understanding of building floorplan documents. The developed techniques would be helpful to builders, and trade people in their day to day activities.