Trends in Diagnostics Technologies and Treatment

Professor Ahmed H. Tewfik

E. F. Johnson Professor of Electronic Communications

Electrical and Computer Engineering Department, University of Minnesota

 

Abstract: This talk discusses some trends in diagnostics and treatment anchored in recent advances in signal processing. The talk begins with an introduction to compressed sensing and describes its applications in MRI cardiac imaging. Next, the talk focuses on biclustering techniques and their use in developing group biomarkers for ovarian cancer. The talk concludes with an overview of wireless wearable sensors and their application in the treatment of patients with traumatic brain injuries.
 

Short Biography:  Ahmed Tewfik received his B.Sc. degree from Cairo University, Cairo Egypt, in 1982 and his M.Sc., E.E. and Sc.D. degrees from the Massachusetts Institute of Technology, Cambridge, MA, in 1984, 1985 and 1987 respectively. Dr. Tewfik has worked at Alphatech, Inc., Burlington, MA in 1987. He is the E. F. Johnson professor of Electronic Communications with the department of Electrical Engineering at the University of Minnesota. He served as a consultant to MTS Systems, Inc., Eden Prairie, MN and Rosemount, Inc., Eden Prairie, MN and worked with Texas Instruments and Computing Devices International. From August 1997 to August 2001, he was the President and CEO of Cognicity, Inc., an entertainment marketing software tools publisher that he co-founded, on partial leave of absence from the University of Minnesota. Prof. Tewfik is a Fellow of the IEEE. He was a Distinguished Lecturer of the IEEE Signal Processing Society in 1997 - 1999. He received the IEEE third Millennium award in 2000.  Current Research Interests of Dr. Tewfik include: Genomics and bioinformatics; Brain Computer Interfaces, Analysis and Classification of EEG/MEG with adaptive time frequency bases, Wearable Medical Sensors; food inspection; programmable wireless networks and ultrawideband communications for wireless personal area and multimedia/server/storage networks; sparse signal representations and data centric computing. Past research interests include low power multimedia communications, adaptive search and data acquisition strategies for world wide web applications, radar and dental/medical imaging, monitoring of machinery via acoustic emissions, industrial measurements, wavelet signal processing and fractals.