Raghavan Kumar

A 4096-Neuron 1M-Synapse 3.8-pJ/SOP Spiking Neural Network With On-Chip STDP Learning and Sparse Weights in 10-nm FinFET CMOS

Gregory K. Chen, Raghavan Kumar, H. Ekin Sumbul et al. · IEEE Journal of Solid-State Circuits · 2018 · 197 citations

Flow Control, Engineering, Neural Networks (Machine Learning) +21

On design of a highly secure PUF based on non-linear current mirrors

Raghavan Kumar, Wayne Burleson · 2014 · 113 citations

Hardware Security, Secure Puf, Electrical Engineering +15

Passive Control of Vortex-Induced Vibrations: An Overview

Raghavan Kumar, Chan‐Hyun Sohn, Bangalore Gowda · Recent Patents on Mechanical Engineering · 2008 · 101 citations

Aeroacoustics, Engineering, Fluid Mechanics +16

An All-Digital Unified Physically Unclonable Function and True Random Number Generator Featuring Self-Calibrating Hierarchical Von Neumann Extraction in 14-nm Tri-gate CMOS

Sudhir Satpathy, Sanu Mathew, Raghavan Kumar et al. · IEEE Journal of Solid-State Circuits · 2019 · 98 citations

Hardware Security, Low-power Electronics, Electrical Engineering +15

22FFL: A high performance and ultra low power FinFET technology for mobile and RF applications

B. Sell, B. Bigwood, Soonwoo Cha et al. · 2017 · 86 citations

Low-power Electronics, Electrical Engineering, Rf Applications +15