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Title: Modeling the region of interest of 1D and 2D Bio-signals for Automatic Disease Detection
Speaker: Professor Shaikh Fattah, Bangladesh University of Engineering and Technology, Bangladesh (https://sites.google.com/site/drshaikhfattah/Home)
Time, Date, Venue: Klaus 1116 East Seminar Room, 11 am, Monday, August 5, 2019
Abstract: Extracting distinguishable features from a bio-signal to differentiate normal and diseased conditions is a very challenging task because of its complex time-varying nature. Learning through a large number of labeled data may not be possible in many cases, which limits the use of deep learning techniques. In conventional feature based approach, generally features represent an averaged characteristic missing the precise variational information. In this talk, the idea of extracting features at a finer resolution and modeling the extracted feature variation pattern will be demonstrated. This offers a low feature dimension with high temporal or spatial resolution. Recently published model based disease detection techniques will be presented considering 1D and 2D bio-signals. For example, brain signal modeling in spectro-temporal domain has been efficiently employed for detecting the disease sleep apnea or classifying mental tasks. Efficient feature extraction schemes that we have recently proposed for dealing with the disease detection problem will also be presented considering muscle signal, photoplethysmography (PPG) and wireless capsule endoscopy (WCE). Current research potential in online disease detection will also be presented considering semi-supervised approach.
Speaker Biography: Shaikh Fattah received Ph.D. in ECE from Concordia University, Canada. He was a visiting Postdoctoral Fellow and later visiting Research Associate in the Department of EE at Princeton University, USA. He received the B.Sc. and M.Sc. degrees from BUET, Bangladesh, where he is currently serving as a Professor in the Department of EEE and Director of Institute of Nuclear Power Engineering, BUET. He was the winner of Concordia University's the 2009 Distinguished Doctoral Dissertation Prize in ENS and was selected as one of the Great Grads of Concordia University in 2008-2009. During his Ph.D. program, he has received numerous awards. He is a recipient of the Dr. Rashid Gold Medal (in M.Sc.), URSI Canadian Young Scientist Award 2007, and Bangladesh Academy of Science-TWAS Young Scientists Prize 2014.
Dr. Fattah has published more than 180 international journal and conference papers. His research interests include the areas of biomedical engineering, signal processing, biometric, multimedia communication, power and energy, robotics and artificial intelligence. His papers received Best Paper Awards in many conferences. He served as General Chair and Technical/Organizing Chair and delivered Keynote Talks in many international conferences. He was the Editor (2013-2014) and now Member of Editorial Board of Journal of EE, IEB. He is a TC member of Asia Pacific Signal and Information Processing Association. He is the Editorial Board Member of IEEE Access, Associate Editor of Circuits, Systems and Signal Processing (Springer), and Editor of IEEE Power and Energy Society Enews. Dr. Fattah was the Chair of IEEE Bangladesh Section during 2015-16 and now serving as N&A Chair (2017-19). He is the Chair of IEEE EMBS Bangladesh Chapter and Founder Chair of IEEE RAS Bangladesh Chapter and IEEE SSIT Bangladesh Chapter. He is the founder Vice-Chair of IEEE IAS Bangladesh Chapter and IEEE SPS Bangladesh Chapter.
Dr. Fattah is the recipient of most prestigious 2016 IEEE MGA Achievement Award, 2018 R10 Outstanding Volunteer Award, 2017 IEEE R10 Humanitarian Technology Activity (HTA) Outstanding Volunteer Award. He has been serving LRP Committee of IEEE PES and SDHT Committee of IEEE SSIT. He has been serving different committees of IEEE R10. He is the Education Chair of IEEE Humanitarian Activity Committee (HAC). He is the Senior Member of IEEE and Fellow of IEB.
