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

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... Read more
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... Read more
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:... Read more
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... Read more
JTEHM, Articles, Published Articles
The Assessment of Stent Effectiveness Using a Wearable Beamforming MEMS Microphone Array System
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... Read more
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... Read more