(Faculty of Engineering and Informatics) Irfan Mehmood, Lecturer Applied Artificial Intelligence at the University of Bradford Skip to content
researcher

Irfan Mehmood

Lecturer Applied Artificial Intelligence

Faculty/Dept/School Department of Media, Design and Technology
Emaili.mehmood4@bradford.ac.uk

Biography

I have been involved in IT industry and academia in Pakistan and South Korea for over a decade. Now serving as Lecturer in Applied Artificial Intelligence, School of Electrical Engineering and Computer Science, Media, Design and Technology, University of Bradford, UK. My current research mainly focuses on design and analysis of advance computer vision algorithms and applications. My research is focused on Image/Video Processing with emphasis on video summarization for the extractions of semantically significant contents from videos, which can play vital role in various applications such as surveillance, medical imaging data management, supports video and movies’ highlight/trailer generation etc. My research interests are in the fields of computer vision, image processing, and pattern recognition with an emphasis on the automated extraction of semantically significant information from medical images/videos. I am an active interdisciplinary and multidisciplinary researcher, publishing refereed journal and conference papers in the diverse fields of medical imaging, video surveillance, image reconstruction and steganography. My research is focused towards basic and applied areas such as image and scene segmentation, motion and video analysis, perceptual grouping, shape analysis, visual attention modelling, and medical image perception modelling. I have worked on applications of video summarization, steganography, deep learning and image super resolution.

Research

  • Digital Image Processing and Pattern recognition
  • Video Processing
  • Multi-dimension Signal Processing and Stochastic Processes
  • Statistical Inference
  • Computer Vision and Image Analysis

Publications

Peer Reviewed Journal
TitleA local and global event sentiment based efficient stock exchange forecasting using deep learning (2019)
AuthorsMaqsood H.;Mehmood I.;Maqsood M.;Yasir M.;Afzal S.;Aadil F.;Selim M.;Muhammad K.
JournalInternational Journal of Information Management
DOI10.1016/j.ijinfomgt.2019.07.011
 
TitleAn intelligent event-sentiment-based daily foreign exchange rate forecasting system (2019)
AuthorsYasir M.;Durrani M.;Afzal S.;Maqsood M.;Aadil F.;Mehmood I.;Rho S.
JournalApplied Sciences (Switzerland)
DOI10.3390/app9152980
 
TitleUnderground sewer pipe condition assessment based on convolutional neural networks (2019)
AuthorsHassan S.;Dang L.;Mehmood I.;Im S.;Choi C.;Kang J.;Park Y.;Moon H.
JournalAutomation in Construction
DOI10.1016/j.autcon.2019.102849