Ahish Shylendra

According to our database, Ahish Shylendra authored at least 14 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

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

Proceedings of the 36th International Conference on VLSI Design and 2023 22nd International Conference on Embedded Systems, 2023

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

Non van-Neumann Anomaly Detection in Multi-Channel Time-Series using Charge Trap Transistor Crossbars.

Ahish Shylendra, Priyesh Shukla, Amit Ranjan Trivedi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Analog-Domain Time-Series Moment Extraction for Low Power Predictive Maintenance Analytics.

Ahish Shylendra, Priyesh Shukla, Swarup Bhunia, Amit Ranjan Trivedi

Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021

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

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

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

MC²RAM: Markov Chain Monte Carlo Sampling in SRAM for Fast Bayesian Inference.

Priyesh Shukla, Ahish Shylendra, Theja Tulabandhula, Amit Ranjan Trivedi

CoRR, 2020

Non-parametric Statistical Density Function Synthesizer and Monte Carlo Sampler in CMOS.

Ahish Shylendra, Sina Haji Alizad, Priyesh Shukla, Amit Ranjan Trivedi

Proceedings of the 33rd International Conference on VLSI Design and 19th International Conference on Embedded Systems, 2020

Fault Attack Detection in AES by Monitoring Power Side-Channel Statistics.

Ahish Shylendra, Priyesh Shukla, Swarup Bhunia, Amit Ranjan Trivedi

Proceedings of the 21st International Symposium on Quality Electronic Design, 2020

MC2RAM: Markov Chain Monte Carlo Sampling in SRAM for Fast Bayesian Inference.

Priyesh Shukla, Ahish Shylendra, Theja Tulabandhula, Amit Ranjan Trivedi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

2019

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

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

Proceedings of the International Symposium on Low Power Electronics and Design, 2018

Ultralow power acoustic feature-scoring using gaussian I-V transistors.

Amit Ranjan Trivedi, Ahish Shylendra

Proceedings of the 55th Annual Design Automation Conference, 2018