
Andrei Dragomir
Andrei Dragomir (M’09) received the B.S. degree in electrical engineering at the Politehnica University of Bucharest, Bucharest, Romania, in 1999 and the M.S. and Ph.D. degrees in biomedical engineering at the University of Patras, Patras, Greece, in 2002 and 2006 respectively. He was a Postdoctoral Research Associate at the Arizona State University, Tempe, AZ, from 2006 to 2010. He is currently an Assistant Professor at the University of Houston, Houston, TX. His current research interests include biocomplexity, neural engineering, pattern recognition, machine learning, and bioinformatics.
Associated articles
NE,
Goals
Promote the development of novel electronic and photonic devices and techniques for experimental probing, neural simulation studies
Promote the design and development of human-‐machine interface systems, artificial vision sensors, and neural prosthesis to restore and enhance the impaired sensory functions and...
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Posted on 27 AUG 2015
NE,
Focus Areas
Advanced Technologies for BRAIN Initiative
Translational Neural Engineering
Neural Interfacing
Neural Modulation
Neural Imaging and Computation
Developing New Tools to Interrogate and Manipulate Brain Circuits
New Frontiers in NE: the Functional and Dysfunctional Mind
Big Data in Neuroscience
Brain Computer Interfacing (bidirectional)
High Fidelity EEG Sensors
Brain Diseases Biomarkers...
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Posted on 27 AUG 2015
NE,
Committees
TCNE Sub-Committees:
Awards: Dominique Durand, Ted Berger, Jose Carmena, Jose del Milan
Nominations: Jose Carmena, Dominique Durand, Ted Berger, Bin He
Workshops: Jose Pons, Dario Farina, Fabio Babiloni, Anna Bianchi
Tech Transfer, Standards, Governance: Bin He, Justin Sanchez, Nigel Lovell, Yiwen Wang
Webmaster/Newsletters: Andrei Dragomir
Student Activities:...
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Posted on 27 AUG 2015
JTEHM, Articles, Published Articles
Engineering a High-Throughput 3D in vitro Glioblastoma Model
Glioblastoma multiforme (GBM) is the most common and malignant primary brain tumor in adults. The existing treatment for GBM, which involves a combination of resection, chemotherapy and radiotherapy, has a very limited success rate with a median survival rate of...
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Posted on 5 MAR 2015
JTEHM, Articles, Published Articles
The Assessment of Stent Effectiveness Using a Wearable Beamforming MEMS Microphone Array System
Metin Akay, Andrei Dragomir, Feihua Chen, Yasemin M. Akay, Allison Post, Hani Jneid, David Paniagua, Ali Denktas, Biykem Bozkurt
Studies involving turbulent flow have been carried out in many parts of the cardiovascular system, and it has been widely reported that turbulence related to stenosis (narrowing) of arteries creates audible sounds, which may be analyzed to yield information about...
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Posted on 13 OCT 2016
IEEE PULSE, Feature November/December 2015
Mining Social Media Big Data for Health
Advances in information technology (IT) and big data are affecting nearly every facet of the public and private sectors. Social media platforms are one example of such advances: its nature allows users to connect, collaborate, and debate on any topic...
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Posted on 18 DEC 2015