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Fingerprint Fingerprint is based on mining the text of the experts' scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 8 Similar Profiles
Electronic equipment Engineering & Materials Science
Sensors Engineering & Materials Science
Networks (circuits) Engineering & Materials Science
Static random access storage Engineering & Materials Science
Thin film transistors Engineering & Materials Science
Learning systems Engineering & Materials Science
Thin films Engineering & Materials Science
Electroencephalography Engineering & Materials Science

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Research Output 2005 2019

17.3 Hybrid System for Efficient LAE-CMOS Interfacing in Large-Scale Tactile-Sensing Skins via TFT-Based Compressed Sensing

Aygun, L. E., Kumar, P., Zheng, Z., Chen, T. S., Wagner, S., Sturm, J. C. & Verma, N., Mar 6 2019, 2019 IEEE International Solid-State Circuits Conference, ISSCC 2019. Institute of Electrical and Electronics Engineers Inc., p. 280-282 3 p. 8662442. (Digest of Technical Papers - IEEE International Solid-State Circuits Conference; vol. 2019-February).

Princeton University

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Compressed sensing
Thin film transistors
Hybrid systems
Skin
Electronic equipment

22.8 Adaptively Clock-Boosted Auto-Ranging Responsive Neurostimulator for Emerging Neuromodulation Applications

Pazhouhandeh, M. R., Orleary, G., Weisspapir, I., Groppe, D., Nguyen, X. T., Abdelhalim, K., Jafari, H. M., Valiante, T. A., Carlen, P., Verma, N. & Genov, R., Mar 6 2019, 2019 IEEE International Solid-State Circuits Conference, ISSCC 2019. Institute of Electrical and Electronics Engineers Inc., p. 374-376 3 p. 8662458. (Digest of Technical Papers - IEEE International Solid-State Circuits Conference; vol. 2019-February).

Princeton University

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Brain
Technology
Implanted Electrodes
Sleep Stages
Neurosciences
Remote sensing
Electronic equipment
Semantics
Sensors
Internet of things

Scaling Up In-Memory-Computing Classifiers via Boosted Feature Subsets in Banked Architectures

Tang, Y., Zhang, J. & Verma, N., Mar 1 2019, In : IEEE Transactions on Circuits and Systems II: Express Briefs. 66, 3, p. 477-481 5 p., 8409339.

Princeton University

Research output: Contribution to journalArticle

Classifiers
Data storage equipment
Signal to noise ratio
Image classification
Particle accelerators

Shannon-Inspired Statistical Computing for the Nanoscale Era

Shanbhag, N. R., Verma, N., Kim, Y., Patil, A. D. & Varshney, L. R., Jan 1 2019, In : Proceedings of the IEEE. 107, 1, p. 90-107 18 p., 8482253.

Princeton University

Research output: Contribution to journalArticle

Memory architecture
Networks (circuits)
Energy efficiency
Signal to noise ratio
Concretes