Verma, Naveen

Graphene-based wireless bacteria detection on tooth enamel

Mannoor, M. S., Tao, H., Clayton, J. D., Sengupta, A., Kaplan, D. L., Naik, R. R., Verma, N., Omenetto, F. G., & McAlpine, M. C. (2012) · Nature Communications

Electrochemical sensors and biosensorsGraphene and Nanomaterials Applications

Cited by 1,014

In-Memory Computing: Advances and Prospects

Verma, N., Jia, H., Valavi, H., Tang, Y., Ozatay, M., Chen, L.-Y., Zhang, B., & Deaville, P. (2019) · IEEE Solid-State Circuits Magazine

Parallel Computing and Optimization TechniquesAdvanced Memory and Neural Computing

Cited by 473

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

Valavi, H., Ramadge, P. J., Nestler, E., & Verma, N. (2019) · IEEE Journal of Solid-State Circuits

Advanced Memory and Neural ComputingLow-power high-performance VLSI design

Cited by 328

Ultralow-Power Electronics for Biomedical Applications

Chandrakasan, A. P., Verma, N., & Daly, D. C. (2008) · Annual Review of Biomedical Engineering

Low-power high-performance VLSI designAnalog and Mixed-Signal Circuit Design

Cited by 285

15.1 A Programmable Neural-Network Inference Accelerator Based on Scalable In-Memory Computing

Jia, H., Ozatay, M., Tang, Y., Valavi, H., Pathak, R., Lee, J., & Verma, N. (2021) · 2021 IEEE International Solid- State Circuits Conference (ISSCC)

Advanced Memory and Neural ComputingParallel Computing and Optimization Techniques

Cited by 168

A Maximally Row-Parallel MRAM In-Memory-Computing Macro Addressing Readout Circuit Sensitivity and Area

Deaville, P., Zhang, B., Chen, L.-Y., & Verma, N. (2021) · ESSCIRC 2021 - IEEE 47th European Solid State Circuits Conference (ESSCIRC)

Advanced Memory and Neural ComputingLow-power high-performance VLSI design

Cited by 36

Low-energy formulations of support vector machine kernel functions for biomedical sensor applications

Lee, K. H., Kung, S.-Y., & Verma, N. (2012) · Journal of Signal Processing Systems

ECG Monitoring and AnalysisMachine Learning and ELM

Cited by 35