If you made any changes in Pure, your changes will be visible here soon.

Fingerprint Dive into the research topics where Naveen Verma is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 3 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

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

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
1 Citation (Scopus)

A 64-Tile 2.4-Mb In-Memory-Computing CNN Accelerator Employing Charge-Domain Compute

Valavi, H., Ramadge, P. J., Nestler, E. & Verma, N., Jun 1 2019, In : IEEE Journal of Solid-State Circuits. 54, 6, p. 1789-1799 11 p., 8660469.

Princeton University

Research output: Contribution to journalArticle

Tile
Neurons
Particle accelerators
Convolution
Data storage equipment

A Large-Area RFID Reader Array Using Large-Area Electronics

Mehlman, J. Y., Kumar, P., Verma, N. & Sturm, J., Mar 25 2019

Princeton University

Research output: Innovation

Neural networks
Data storage equipment
Chemical activation
Static random access storage
Parallel processing systems