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John Seymour

PI, Assoc. Prof. at UTHealth in Neurosurgery, Adjunct Assoc. Prof at Rice in Electrical & Computer Eng

john.p.seymour at uth.tmc.edu

TBBL is laser focused on the translation of implantable sensory technology in humans including brain-computer interfaces. More broadly, my interests are in the area of advanced neurotechnology for clinical use or neuroscience. My research has addressed topics including reduced tissue reactivity and improved electrical, mechanical, and optical characteristics of bioelectronic devices. I earned my B.S. with Honors in Engineering Physics from (the) Ohio State University and my M.S. and Ph.D. in Biomedical Engineering from the University of Michigan. My industry experience includes working at Battelle Memorial and later NeuroNexus as a Principal Scientist. My other academic experience includes serving as research faculty in the Department of Electrical Engineering at the University of Michigan.

Outside work and family, I’m trying to improve my mountain biking, fishing, photography, gardening skills. A long way to go!

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Amada Abrego Mancilla

Lab Manager, Lab Engineer

Amada.M.AbregoMancilla at uth.tmc.edu

I joined the lab in January 2020 as a lab Engineering Assistant. During my Master’s in Science in Electrical and Computer Engineering from Rice University, I studied the vestibular contributions to the navigational circuit at Dora Angelaki and David Dickman’s labs. I also received a Master’s in Bioengineering from Rice University and a BS in Biomedical Engineering from Monterrey Tech, Mexico.

When not doing science, I love to bake and pamper my little dog, Luna.

Wasif Khan

Postdoctoral Fellow

Wasif.Khan at uth.tmc.edu

Hello! I come from Bangladesh, a small and very beautiful green country in Asia, where I completed my BS from Military Institute of Science and Technology in 2011. Later, I got my MS and Ph.D. in Electrical and Computer Engineering from Michigan State University in 2016 and 2020, respectively. As a graduate student, I developed neural interfaces for optogenetic applications. As a postdoc at UTHealth, I am focused on implementing a translational approach for a novel Brain-Computer Interface towards the potential treatment of neurodegenerative diseases such as epilepsy.

I am a huge fan of movies of all languages! In addition, my interest dives deeper into photography, music, and cooking!

Mohammad Ghajar

Postdoctoral Fellow

mg108@rice.edu

My research area of interest is wearable and implantable biodevices and flexible bioelectronics. Flexible neural electrodes is a cutting-edge technology that can improve human life significantly. I joined TBBL to generally develop long-term, high-density recording and stimulation electrodes for the treatment of diseases. More specifically, I'm here to extend electrode sensor longevity when implanted. I am excited about to make my impact on human life and play my role in health promotion by relying on my background coming from a wide range of interdisciplinary fields such as mechanical engineering, chemical and material science, robotics and control, and computational modeling with both theoretical and practical perspectives.

Rabiul Islam

Postdoctoral Fellow

I received my Bachelor of Science (B.Sc) and the Master of Science (M.Sc) degree in computer science and engineering from the University of Rajshahi, Bangladesh, in 2010 and 2011, respectively. From October, 2014 to September 2015, I was a research student at the dept. of Electrical and Information Engineering, Tokyo University of Agriculture and Technology (TUAT), Tokyo, Japan. I received my PhD degree in 2018 from the Tokyo University of Agriculture and Technology, Tokyo. From October, 2018 to March, 2019, I joined as a Visiting Researcher at the Tokyo University of Agriculture and Technology. In April 2019, I joined as an assistant Professor (Research) in the Institute of Global Innovation Research, Tokyo University of Agriculture and Technology. My research expertise focuses on biosignal (especially electrophysiological monitoring methods) processing, which unify various concepts, including signal processing, machine learning, mathematical engineering, and method of statistics. The goal of my research is to identify engineering solutions in biosignals based on advanced AI techniques for precision treatment of brain diseases.

Ankita Bhat

Postdoctoral Fellow

Alumni (now at Intel)

I received my B.E. degree in Instrumentation and Control Engineering from University of Pune, India, in 2013, the M.S. degree in Biomedical Engineering from UT Arlington and UTSW Medical Center, Arlington, TX, USA, in 2016, and the Ph.D. degree in Biomedical Engineering from Texas A&M University, College Station, TX, USA.  My research interests include neuroengineering, biomedical biosensors, biochips, responsive biomaterials, signal processing, and data analytics. I have pursued the Center for the Integration of Research, Teaching, and Learning (CIRTL) Associate, Practitioner, and Scholar level programs to learn and implement strategies for teaching. I have been the teaching assistant for senior capstone design and the instructional service assistant for bioinstrumentation courses in biomedical engineering.

My non-scientific interests are creative writing, chess, and cricket.

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