Dr Omurtag's roles include teaching and research in the Engineering Department.
Ahmet holds a Ph.D. in Mechanical Engineering from Columbia University and had post-doctoral training in computational neuroscience at the Mount Sinai School of Medicine. Ahmet’s research has received funding from National Institutes of Health and the National Science Foundation in the United States. He was director of research and engineering at Bio-Signal Group, a private company, where he worked on all aspects of biomedical device development. He joined NTU from the University of Houston's Department of Biomedical Engineering.
Ahmet is an expert in the biomedical applications of electroencephalography (EEG), functional near-infrared spectroscopy (fNIRS), and signal analysis. EEG is a functional brain imaging method that is sensitive to the brain's organized synaptic activity. fNIRS, on the other hand, measures hemoglobin concentration changes in the upper layers of cortex through near-infrared light probes placed on the scalp. Ahmet takes advantage of the strengths of each modality and combines their signals.
His research in recent years has been at the forefront of practical, noninvasive multimodal functional neuroimaging. One of his aims is to create markers for predicting human performance. Such markers can provide objective measures of operators' skill levels, characteristics of the tasks they are engaged in, or the tools which they use.
Ahmet's methods include recording data from human subjects in the laboratory and the clinic, and analyzing them with state-of-the-art feature extraction and machine learning methods. Pooling complementary signals from different types of systems not only enhances the accuracy of the markers. It also allows research into neurovascular coupling, the cascade of processes by which neural activity modulates local blood flow and oxygenation. Ahmet is also exploring the clinical implications of neurovascular coupling, since it is part of the brain's local hemodynamic response to neural activity and is believed to be altered by disease.
Ahmet frequently puts his industry experience to use by collaborating with and consulting for companies in the area of biomedical devices. He has also served in federal U.S. grant review sections.
Sponsors and collaborators
Funders of Ahmet's work have included the National Institutes of Health, National Science Foundation. He collaborates with a wide network of scientists, engineers, and clinicians, including his former employer Bio-Signal Group, Inc.
CHARI, G., YADAV, K., NISHIJIMA, D., OMURTAG, A. and ZEHTABCHI, S., 2019. Improving the ability of ED physicians to identify subclinical/electrographic seizures on EEG after a brief training module. International Journal of Emergency Medicine, 12 (1): 11.ISSN 1865-1372
OMURTAG, A., ROY, R.N., DEHAIS, F., CHATTY, L. and GARBEY, M., 2019. Tracking team mental workload by multimodal measurements in the operating room. In: H. AYAZ and F. DEHAIS, eds., Neuroergonomics: the brain at work and in everyday life. London: Academic Press, pp. 99-104. ISBN 9780128119266
OKOLO, C. and OMURTAG, A., 2018. Use of dry-electroencephalogram and support vector for objective pain assessment. Biomedical Instrumentation & Technology, 52 (5), pp. 372-378. ISSN 0899-8205
OMURTAG, A., AGHAJANI, H. and KELES, H.O., 2017. Decoding human mental states by whole-head EEG+fNIRS during category fluency task performance. Journal of Neural Engineering, 14 (6): 066003. ISSN 1741-2560
AGHAJANI, H., GARBEY, M. and OMURTAG, A., 2017. Measuring mental workload with EEG+fNIRS. Frontiers in Human Neuroscience, 11: 359. ISSN 1662-5161
Has press expertise, willing to share experiences with developing portable medical devices, EEG and fNIRS.