Ramana Vinjamuri

University of Maryland, Baltimore County

Ramana Vinjamuri received a Ph.D. in Electrical Engineering with a specialization in dimensionality reduction in control and coordination of human hand from the University of Pittsburgh, Pennsylvania, in 2008. From 2008 to 2012, he worked as a postdoctoral research associate in the field of Brain-Machine Interfaces (BMI) to control prostheses at the School of Medicine, the University of Pittsburgh, where he received the Mary E Switzer Merit Fellowship from the National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR) in 2010. From 2012 to 2013, he worked as a research assistant professor in the Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, in the area of neuroprosthetics. He also worked as an assistant professor in the Department of Biomedical Engineering, Stevens Institute of Technology, Hoboken, New Jersey, from 2013 to 2020. He holds a secondary appointment as an adjunct assistant Professor at the Indian Institute of Technology, Hyderabad, India. He is currently an assistant professor in the Department of Computer Science and Electrical Engineering, University of Maryland, USA. In 2018, Dr. Vinjamuri received the Harvey N Davis Distinguished Teaching Award for excellence in undergraduate and graduate teaching. He also received the National Science Foundation (NSF) CAREER Award in 2019 and an NSF Industry-University Cooperative Research Centers (IUCRC) Planning Grant in 2020. His other notable research awards are from the US-India Science and Technology Endowment Fund (USISTEF) and the New Jersey Health Foundation.

Ramana Vinjamuri

3books edited

3chapters authored

Latest work with IntechOpen by Ramana Vinjamuri

Neural signal processing is a specialized area of signal processing aimed at extracting information or decoding intent from neural signals recorded from the central or peripheral nervous system. This has significant applications in the areas of neuroscience and neural engineering. These applications are famously known in the area of brain–machine interfaces. This book presents recent advances in this flourishing field of neural signal processing with demonstrative applications.

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