JHU Biomedical Engineering Faculty
 Ramana K. Vinjamuri, Ph.D.Assistant Research Professor Neuroengineering and Biomedical Instrumentation
Traylor #710-A
(443) 287-6271
ramana.vinjamuri@jhu.edu
EducationBS, Electrical Engineering, Kakatiya University (India), 2002
MS, Electrical Engineering – Bioinstrumentation, Villanova University, 2004
PhD, Electrical Engineering – Dimensionality Reduction in Control and Coordination of Human Hand, University of Pittsburgh, 2008.
Postdoctoral Fellow, Brain Machine Interfaces (BMI), University of Pittsburgh, 2008–2011 Since 2011 Dr. Vinjamuri has been working at the University of Pittsburgh School of Medicine as a Research Associate and as research faculty in the Johns Hopkins University Department of Biomedical Engineering.
In 2010, he was awarded Mary E. Switzer Merit Fellowship by National Institute on Disability and Rehabilitation Research (NIDRR) for his proposal, “A synergy based BMI to reanimate paralyzed hands.” Dr. Vinjamuri has a pending patent as the lead inventor on related technology.
In 2011, he was elevated to IEEE Senior Member. He has authored several publications in IEEE Transactions and conferences and other journals in the fields of biomedical engineering. He serves as reviewer for journals and conferences including IEEE Transactions in Biomedical Engineering, IEEE Transactions in Neural Networks, IEEE Transactions on Intelligent Transport Systems, IEEE EMBC, Journal of Neural engineering, Sensors, International Journal of Nano Medicine, etc. He also serves as grants reviewer for NIDRR.
Research Interests“I am interested in how human brain controls the complex and versatile architecture of human hand. It is fascinating how the brain generates optimal control signals required to excite the muscles that in turn control the musculoskeletal framework. It is hypothesized that synergies or movement primitives in muscle, kinematic and dynamics spaces can potentially aid the brain in performing complex movements effortlessly. Brain machine interfaces, on the other hand, is an upcoming technology that attempts to build on this decades of movement neuroscience and has come up with promising applications in reanimating paralyzed hands. My research thrust is in combining the advantages of synergies and brain machine interfaces to come up with practical neuroprosthetic devices.” Selected PublicationsR. Vinjamuri, D. Crammond, D. Kondziolka, H.-N. Lee and Z.-H. Mao. Extraction
of sources of tremor in hand movements of patients with movement disorders. IEEE
Transactions on Information Technology in Biomedicine, Vol.13, pp. 49–56, 2009.
R. Vinjamuri, M. Sun, R. Sclabassi, and Z. -H. Mao. Temporal postural synergies of hand
in rapid grasping tasks. IEEE Transactions on Information Technology in Biomedicine,
Vol.14, pp. 986–994, 2010.
R. Vinjamuri, M. Sun, R. Sclabassi, and Z.-H. Mao. Dimensionality reduction in control
and coordination of human hand. IEEE Transactions on Biomedical Engineering, Vol.57,
pp. 284–295, 2010.
R. Vinjamuri, D. Weber, Z.-H. Mao, J. Collinger, A. Degenhart, J. Kelly, M. L. Boninger,
E. C. Tyler-Kabara and W. Wang. Towards synergy based control in brain machine
interfaces. IEEE Transactions in Information Technology and Biomedicine, Vol.15, pp.726–
736, 2011.
R. Vinjamuri, W. Wang, M. Sun and Z.-H. Mao (2012). Application of Linear and
Nonlinear Dimensionality Reduction Methods, Principal Component Analysis, Parinya
Sanguansat (Ed.), ISBN: 978-953–51-0195–6, InTech.
W. Wang, J. L. Collinger, A. D. Degenhart, E. C. Tyler-Kabara, A. B. Schwartz, D.
W. Moran, B. Wodlinger, R. Vinjamuri, J. Kelly, R. Ashmore, M. Boninger. An
Electrocorticographic Brain Interface in an Individual with Tetraplegia. PLOS ONE,
8(2):e55344, 2013.
J. Collinger, R. Vinjamuri, A. Dagenhart, G. Sudre, M. Boninger, E. Tyler-Kabara, D.
Weber, and W. Wang. Mirror neuron like response of electrocorticographic recording during
overt and observed hand movements. Submitted to Neuroimage. Publications SearchFrom Pub Med | From Google Scholar
< Back to Primary Faculty page.
|
