Advanced Technologies for Human Brain Initiatives
Prof.Dr. Metin AKAY, University of Houston,
Metin Akay received his B.S. and M.S. in Electrical Engineering from
the Bogazici University, Istanbul, Turkey in 1981 and 1984,
respectively and a Ph.D. degree from Rutgers University in 1990. He is
currently the founding chair of the new Biomedical Engineering
Department and the John S. Dunn professor of biomedical engineering at
the University of Houston. He has played a key role in promoting
biomedical education in the world by writing and editing several books,
editing several special issues of prestigious journals,
including the Proc of IEEE, and giving several keynote and plenary
talks at international conferences, symposiums and workshops
regarding emerging technologies in biomedical engineering.
Prof.Dr. Hamid Krim, NC State University,
He is the founding editor-in-chief of the Biomedical Engineering Book
Series published by the Wiley and IEEE Press and the Wiley Encyclopedia of
Biomedical Engineering. He is also the editor of the Neural Engineering
Handbook published by Wiley/IEEE Press and the first steering committee
chair of the IEEE Trans on Computational Biology and Bioinformatics.
He established the IEEE EMBS Special Topic Conference on Neural Engineering.
He is also the chair of the IEEE EMBS Neuroengineering Technical
Committee. He was the program chair of the International IEEE EMBS 2001 and the
co-chair of the International IEEE EMBS 2006 and the program
co-chair of the International IEEE EMBS 2011 and the IEEE EMBS Point-of-Care
Health Technologies (POCHT) 2013.
He currently serves on the advisory board of several international journals
including the IEEE T-BME, IEEE T-ITIB, Smart Engineering Systems etc.
and furthermore serves on several NIH and NSF review panels.
Dr. Akay is a recipient of the IEEE EMBS Early Career and Service awards as well
an IEEE Third Millenium Medal and is a fellow of IEEE, the
Institute of Physics (IOP), the American Institute of Medical Biological Engineering
( AIMBE) and the American Association for the Advancement of Science
(AAAS). His Neural Engineering and Informatics Lab is interested in developing an
intelligent wearable system for monitoring motor functions in Post-Stroke
Hemiplegic Patients and detecting coronary artery disease. In addition, his lab is
currently investigating the effect of nicotine on the dynamics of ventral
tegmental area (VTA) dopamine neural networks.
Hamid Krim (F) received his degrees in Electrical Engineering. As a member of technical
staff at AT&T Bell Labs, he has worked in the area of telephony and digital communication
systems/subsystems. In 1991, he became a NSF Post-doctoral scholar at Foreign Centers of
Excellence (LSS Supelec/Univ. of Orsay, Paris, France). In 1992, he joined the Laboratory
for Information and Decision Systems, MIT, Cambridge, MA, as a Research Scientist
performing/supervising research in his area of interest. In 1998, he joined the Electrical
and Computer Engineering Department at North Carolina State University, Raleigh, N.C.,
where he is currently Professor and directing the Vision, Information, Statistical Signal
Theories and Applications (VISSTA) Laboratory.
Dr. Krim’s editorial activities include: Editorial Board Member, IEEE Transactions on Signal Processing (2002-2004);
Editorial Board Member, IEEE Signal Processing Magazine (2014).
Dr. Krim is an IEEE Fellow and was a Fellow, Japanese Foundation for
the Advancement of Research in Science and Engineering at the University of Tokyo, Japan. Dr. Krim
is a Member of SIAM and of Sigma Xi. He is an original contributor and now an Affiliate of the Center
for Imaging Science, sponsored by the Army. He is a recipient, NSF Career Young Investigator Award.
Dr. Krim’s research interests are in statistical signal processing and mathematical modeling with a keen
emphasis on applications. He has been particularly interested in introducing geometric and topological tools
to statistical signal processing problems and applications. His research has primarily centered on estimation
theoretic problems and modeling. Dr. Krim has published extensively on these areas with an impact amounting to
over 5000 citations to date.
- Shape Analysis and Modeling in Video Applications: Activity Analysis
- Convexity, Sparsity, Nullity and all that....in Machine Leaning
- Sensor and Social Networks: A case for Topological Data Analysis