Ultralow power acoustic feature-scoring using gaussian I-V transistors. - Amit Ranjan Trivedi; Ahish Shylendra (DAC, 2018)

Intrinsic and Database-free Watermarking in ICs by Exploiting Process and Design Dependent Variability in Metal-Oxide-Metal Capacitances. - Ahish Shylendra; Swarup Bhunia; Amit Ranjan Trivedi (ISLPED, 2018)

An Intrinsic and Database-Free Authentication by Exploiting Process Variation in Back-End Capacitors. - Ahish Shylendra; Swarup Bhunia; Amit Ranjan Trivedi (IEEE Trans. Very Large Scale Integr. Syst., 2019)

MC2RAM: Markov Chain Monte Carlo Sampling in SRAM for Fast Bayesian Inference. - Priyesh Shukla; Ahish Shylendra; Theja Tulabandhula; Amit Ranjan Trivedi (ISCAS, 2020)

Fault Attack Detection in AES by Monitoring Power Side-Channel Statistics. - Ahish Shylendra; Priyesh Shukla; Swarup Bhunia; Amit Ranjan Trivedi (ISQED, 2020)

Non-parametric Statistical Density Function Synthesizer and Monte Carlo Sampler in CMOS. - Ahish Shylendra; Sina Haji Alizad; Priyesh Shukla; Amit Ranjan Trivedi (VLSID, 2020)

MC2RAM: Markov Chain Monte Carlo Sampling in SRAM for Fast Bayesian Inference. - Priyesh Shukla; Ahish Shylendra; Theja Tulabandhula; Amit Ranjan Trivedi (CoRR, 2020)

Low Power Unsupervised Anomaly Detection by Non-Parametric Modeling of Sensor Statistics. - Ahish Shylendra; Priyesh Shukla; Saibal Mukhopadhyay; Swarup Bhunia; Amit Ranjan Trivedi (CoRR, 2020)

Low Power Unsupervised Anomaly Detection by Nonparametric Modeling of Sensor Statistics. - Ahish Shylendra; Priyesh Shukla; Saibal Mukhopadhyay; Swarup Bhunia; Amit Ranjan Trivedi (IEEE Trans. Very Large Scale Integr. Syst., 2020)

ENOS: Energy-Aware Network Operator Search for Hybrid Digital and Compute-in-Memory DNN Accelerators. - Shamma Nasrin; Ahish Shylendra; Yuti Kadakia; Nick Iliev; Wilfred Gomes; Theja Tulabandhula; Amit Ranjan Trivedi (CoRR, 2021)

Analog-Domain Time-Series Moment Extraction for Low Power Predictive Maintenance Analytics. - Ahish Shylendra; Priyesh Shukla; Swarup Bhunia; Amit Ranjan Trivedi (AICAS, 2022)

Non van-Neumann Anomaly Detection in Multi-Channel Time-Series using Charge Trap Transistor Crossbars. - Ahish Shylendra; Priyesh Shukla; Amit Ranjan Trivedi (ISCAS, 2022)

ENOS: Energy-Aware Network Operator Search in Deep Neural Networks. - Shamma Nasrin; Ahish Shylendra; Nastaran Darabi; Theja Tulabandhula; Wilfred Gomes; Ankush Chakrabarty; Amit Ranjan Trivedi (IEEE Access, 2022)

Unifying Intrinsically-Operated Physically Unclonable Function and Random Number Generation in Analog Circuits: A Case Study on Successive Approximation ADC. - Ahish Shylendra; Swarup Bhunia; Amit Ranjan Trivedi (VLSID, 2023)