Jonathan Viventi
Assistant Professor
Electrical and Computer Engineering
- Phone: 917.727.2464
- Email: jviventi@poly.edu
- Location: 10.068 (2 MetroTech Center, 10th Floor)
- Website: http://www.tneuro.com/
Education
University of Pennsylvania, Class of 2010
Doctor of Philosophy, Bioengineering
Princeton University, Class of 2004
Master of Engineering, Electrical Engineering
Princeton University, Class of 2003
Bachelor of Science in Engineering, Electrical Engineering
Experience
MC10, Inc.
Consultant
From: September 2010 to present
Qualcomm, Inc.
Consultant
From: September 2006 to September 2009
Flarion Technologies, Inc. (acquired by Qualcomm)
Architecture and Algorithms Engineer
From: July 2004 to September 2006
Research Interests
My research applies innovations in flexible electronics, low power analog circuits, and machine learning to create new technology for interfacing with the brain at a much finer scale and with broader coverage than previously possible. My lab aims to creates new tools for neuroscience research and technology to diagnose and treat neurological disorders, such as epilepsy.
Awards + Distinctions
- 2011 Grass Foundation – American Epilepsy Society (AES) Young Investigator Travel Award
- 2010 Mahoney Institute of Neurological Sciences / Neuroscience Graduate Group Flexner Award for best neuroscience thesis at the University of Pennsylvania
- 2010 Beckman Institute Postdoctoral Fellowship
- 2010 Ruth L. Kirschstein-National Service Research Award
- 2010 Solomon R. Pollack Award for best thesis in the Department of Bioengineering at the University of Pennsylvania
- 2010 Neural Interfaces Conference Travel Award
- 2009 Nano/Bio Interface Center Graduate Research Award for the best graduate research at the University of Pennsylvania on Nanotechology applied to Biology
- 2003, 2004 - Two Outstanding Teaching Assistant Awards from the Princeton University Electrical Engineering department
Journal Articles
J. Viventi^, D. Kim^, J.D. Moss, Y. Kim, J.A. Blanco, N. Annetta, A. Hicks, J. Xiao, Y. Huang, D.J. Callans, J.A. Rogers, and B. Litt. A Conformal, Bio-Interfaced Class of Silicon Electronics for Mapping Cardiac Electrophysiology. Science Translational Medicine 2, 24ra22-24ra22 (2010) (cover article)
D. Kim^, J. Viventi^, J.J. Amsden, J. Xiao, L. Vigeland, Y. Kim, J.A. Blanco, B. Panilaitis, E.S. Frechette, D. Contreras, D.L. Kaplan, F.G. Omenetto, Y. Huang, K. Hwang, M.R. Zakin, B. Litt, and J.A. Rogers. Dissolvable films of silk fibroin for ultrathin conformal bio-integrated electronics. Nature materials 1-8(2010).doi:10.1038/nmat2745(cover article)
J.A. Blanco, M. Stead, A. Krieger, J. Viventi, W.R. Marsh, K.H. Lee, G.A. Worrell, and B. Litt. Unsupervised Classification of High-Frequency Oscillations in Human Neocortical Epilepsy and Control Patients. Journal of neurophysiology 2900-2912(2010).doi:10.1152/jn.01082.2009
D. Kim, N. Lu, R. Ghaffari, Y. Kim, S. P. Lee, L. Xu, J. Wu, R. Kim, J. Song, Z. Liu, J. Viventi, B. Graff, B. Elolampi, M. Mansour, M. J. Slepian, S. Hwang, J. D. Moss, S. Won, Y. Huang, B. Litt and J. A. Rogers. Materials for multifunctional balloon catheters with capabilities in cardiac electrophysiological mapping and ablation therapy. Nature materials 1-8(2011).doi:10.1038/nmat2971
J. A. Blanco, M. Stead, A. Krieger, W. Stacey, D. Maus, E. Marsh, J. Viventi, K.H. Lee, R. Marsh, B. Litt, and G. A Worrell. Data mining neocortical high-frequency oscillations in epilepsy and controls. Brain : a journal of neurology, Sep. (2011).
J. Viventi^, D. Kim^, L. Vigeland, J.A. Blanco, Y. Kim, A. Avrin, V. Tiruvadi, S. Hwang, A. C. Chamberlain, D.F. Wulsin, K. Davis, E.S. Frechette, C. Gelber, R. Yaffe, L. Palmer, J.V. Spiegel, J. Wu, J. Xiao, Y. Huang, D. Contreras, J.A. Rogers, and B. Litt. Flexible, Foldable, Actively Multiplexed, High-Density Surface Electrode Array for Mapping Brain Activity in vivo with Single Trial Resolution. Nature Neuroscience (in press) (2011).
^These authors contributed equally to this work.
Other Publications
A.C. Chamberlain, J. Viventi, J.A. Blanco, D.-H. Kim, J.A. Rogers, and B. Litt, “Millimeter-Scale Epileptiform Spike Patterns and Their Relationship to Seizures,” Annual International Conference of the IEEE Engineering in Medicine and Biology Society. (2011)
H. Bink, Y. Lai, S.R. Saudari, B. Helfer, J. Viventi, J. Van der Spiegel, B. Litt, and C. Kagan, “Flexible Organic Electronics for Use in Neural Sensing,” Annual International Conference of the IEEE Engineering in Medicine and Biology Society. (2011)
D.-H. Kim, J. A. Rogers, J. Viventi and B. Litt, “Flexible Biomedical Devices for Mapping Cardiac and Neural Electrophysiology,” 2011 IEEE International Reliability and Physics Symposium, Monterey, CA, Apr 12 (2011)
J. Viventi, J. Blanco, and B. Litt. Mining terabytes of submillimeter-resolution ECoG datasets for neurophysiologic biomarkers. Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 3825-6 (2010)
Moss JD, Viventi J, Kim DH, Rogers J, Litt B, Callans DJ. Epicardial mapping with high spatial resolution using a novel flexible active electrode array. Heart Rhythm Society Annual Scientific Sessions; 7(5): S437, Denver, CO, May 12-15, 2010 (poster).
Biography
Jonathan Viventi joined the Department of Electrical and Computer Engineering as an Assistant Professor. Previously, he was a Kirschstein-NRSA Postdoctoral Fellow at the University of Pennsylvania in the Institute for Medicine and Engineering. Dr. Viventi earned his Ph.D. in Bioengineering from the University of Pennsylvania and his M.Eng. and B.S.E. degrees in Electrical Engineering from Princeton University. Dr. Viventi's research applies innovations in flexible electronics, low power analog circuits, and machine learning to create new technology for interfacing with the brain at a much finer scale and with broader coverage than previously possible. He creates new tools for neuroscience research and technology to diagnose and treat neurological disorders, such as epilepsy. Using these tools, he collaborates with neuroscientists and clinicians to explore the fundamental properties of brain networks in both health and disease. His research program works closely with industry, including filing five patents and several licensing agreements. His work has also been featured as cover articles in Science Translational Medicine and Nature Materials, and has also appeared in Nature Neuroscience, the Journal of Neurophysiology, and Brain. Dr. Viventi has received several awards for his work, including the Mahoney Institute of Neurological Sciences / Neuroscience Graduate Group Flexner Award for Best Neuroscience Thesis at the University of Pennsylvania, Solomon R. Pollack Award for Best Thesis in the Department of Bioengineering at the University of Pennsylvania, and the Nano/Bio-Interface Center Graduate Research Award for Best Graduate Research on Nanotechnology Applied to Biology at the University of Pennsylvania.