Odjel za tehniku u medicini i biologiji
Odjel za tehniku u medicini i biologiji (EMB18) Hrvatske sekcije IEEE poziva Vas na predavanje
"Emerging Biomedical Technologies of High Potential Impact:
Brain Image Analysis and Tissue Characterization"
koje će održati profesor Atam P. Dhawan s New Jersey Institute of Technology, IEEE EMB Society Distinguished Lecturer.
Predavanje će se održati u petak 7. lipnja 2013. u 11:00 sati u Sivoj vijećnici Fakulteta elektrotehnike i računarstva. Predviđeno trajanje predavanja je 45 minuta.
Sažetak predavanja i kratki životopis predavača nalaze se u nastavku obavijesti.
Emerging Biomedical Technologies of High Potential Impact:
Brain Image Analysis and Tissue Characterization
Atam P. Dhawan, Ph.D.
Recent advances in sensor electronics, instrumentation and computing technologies have revolutionized the field of medicine. Research in basic, applied and clinical sciences have impacted the diagnosis, and pathological understanding of critical disease such as cancers, cardiac failure and neurological disorders. As the diagnostic radiology has witnessed astounding developments of multiple medical imaging modalities such as X-ray Mammography, CT, Nuclear Medicine, Magnetic Resonance Imaging and Ultrasound, the health care has evolved into a new phase with emphasis on computerized medical instrumentation and data analysis for early diagnosis, treatment, monitoring and therapeutic intervention. This talk will first focus on current and future trends in fast emerging biomedical technologies with high potential impact in improving global healthcare. Five areas of inter-disciplinary biomedical research and technology development that are expected to make significant impact in medicine and clinical healthcare will be discussed. However, the complexity of human body imposes several challenges for future healthcare technologies due to lack of understanding of physiological processes and interactions among multiple biological levels from gene to organ levels defining the normal and pathological behavior. Some examples of recent research in multi-modality multi-scale brain imaging, analysis and tissue characterization will be presented along with applications in clinical diagnosis and management of neurological diseases and disorders.
Atam P. Dhawan, Ph.D. obtained his B.Eng. and M. Eng. degrees in Electrical Engineering from the University of Roorkee, Roorkee, India. He was a Canadian Commonwealth Fellow at the University of Manitoba where he completed his Ph.D. in Electrical Engineering with specialization in Medical Imaging in 1985. In 1984, he won the first prize and the Martin Epstein Award in the Symposium of Computer Application in Medical Care Paper Competition at the Eighth SCAMC Annual Congress in Washington, D.C., for his work on developing a three-dimensional (3D) imaging technique to detect early skin-cancer called melanoma. From 1985 to 1988, he was an Assistant Professor in the Department of Electrical Engineering at the University of Houston. Later, in 1988, he joined the University of Cincinnati as an Assistant Professor where he became Professor of Electrical and Computer Engineering and Computer Science, and Radiology (joint appointment). From 1990-96, he was the Director of Center for Intelligent Vision and Information Systems. From 1996-98, he was Professor of Electrical Engineering at the University of Texas at Arlington, and Adjunct Professor of Radiology at the University of Texas Southwestern Medical Center at Dallas. From 1998-2000, he was Professor of Bioengineering at the University of Toledo and Director of Medical Imaging and Informatics Laboratory. Since 2000, he is Professor of Electrical & Computer Engineering and Professor of Biomedical Engineering at New Jersey Institute of Technology.
Dr. Dhawan has published more than 58 research articles in refereed journals, and edited books, and 100 research papers in refereed conference proceedings. Recently, he has authored a textbook, Medical Image Analysis published by John Wiley & Sons. Dr. Dhawan is a recipient of Martin Epstein Award (1984), National Institutes of Health FIRST Award (1988), Sigma-Xi Young Investigator Award (1992), University of Cincinnati Faculty Achievement Award (1994) and the prestigious IEEE Engineering in Medicine and Biology Early Career Achievement Award (1995) and University of Toledo Dorman Distinguished Lecture Award (1999). He served as an Associate Editor of IEEE Transactions on Biomedical Engineering (1996-2002), Assistant Editor of IEEE Transactions on Rehabilitation Engineering (1995-2000), He is an Associate Editor of International Journal of Pattern Recognition. He also serves on the editorial board of the International Journal of Computing Information and Technology. He has served on many IEEE EMBS professional committees and has delivered workshops on Intelligent Biomedical Image Analysis in IEEE EMBS International Conferences (1996, 1997, 2000, 2003). He served as the Chair of the "New Frontiers in Biomedical Engineering" Symposium at the World Congress 2000 on Medical Physics and Biomedical Engineering. He is the Conference Chair of the 2006 IEEE Engineering in Medicine and Biology Society International Conference to be held on August 31-Sept 3, 2006 in New York.
Dr. Dhawan is a Fellow of the Institute of Electrical & Electronics Engineers (IEEE), and a member of SPIE, ASEE and Eta Kappa Nu Honor Society. His current research interests are medical imaging, multi-modality medical image analysis, multi-grid image reconstruction, wavelets, genetic algorithms, neural networks, adaptive learning and pattern recognition. Dr. Dhawan is listed in Who's Who In the World (2004, 2005), Who's Who in America (2000-2004, 2005), Who's Who in Engineering (2001, 2002, 2003), Who's Who in Education (2002) and Who's Who Among America's Teachers (2002, 2004).