A selectorless RRAM with record memory window and nonlinearity based on trap filled limit mechanism. - Pankaj Kumbhare; Indranil Chakraborty; A. K. Singh; S. Chouhan; Neeraj Panwar; Udayan Ganguly (NVMTS, 2015)

A simple and efficient SNN and its performance & robustness evaluation method to enable hardware implementation. - Anmol Biswas; Sidharth Prasad; Sandip Lashkare; Udayan Ganguly (CoRR, 2016)

Enhanced Circuit Densities in Epitaxially Defined FinFETs (EDFinFETs) over FinFETs. - Sushant Mittal; Aneesh Nainani; M. C. Abraham; Saurabh Lodha; Udayan Ganguly (CoRR, 2016)

A software-equivalent SNN hardware using RRAM-array for asynchronous real-time learning. - Aditya Shukla; Vinay Kumar; Udayan Ganguly (IJCNN, 2017)

Array programming scheme to enable improved transient based non-linearity in impact ionization based Si-NIPIN selectors for low power. - S. Shrivastava; Udayan Ganguly (NVMTS, 2017)

A Real-time Trainable and Clock-less Spiking Neural Network with 1R Memristive Synapses. - Aditya Shukla; Udayan Ganguly (CoRR, 2017)

An Ultra Energy Efficient Neuron enabled by Tunneling in Sub-threshold Regime on a Highly Manufacturable 32 nm SOI CMOS Technology. - Tanmay Chavan; S. Dutta; Nihar R. Mohapatra; Udayan Ganguly (DRC, 2018)

Sparsity Enables Data and Energy Efficient Spiking Convolutional Neural Networks. - Varun Bhatt; Udayan Ganguly (ICANN (1), 2018)

Design of Spiking Rate Coded Logic Gates for C. elegans Inspired Contour Tracking. - Shashwat Shukla; Sangya Dutta; Udayan Ganguly (ICANN (1), 2018)

A Compact PrMnO3 Based Oscillator as an Alternative to CMOS Ring Oscillator in a Smart Temperature Sensor. - Sandip Lashkare; Pankaj Kumbhare; Vivek Saraswat; Shouri Chatterjee; Udayan Ganguly (IEEE SENSORS, 2018)

A case for multiple and parallel RRAMs as synaptic model for training SNNs. - Aditya Shukla; Sidharth Prasad; Sandip Lashkare; Udayan Ganguly (IJCNN, 2018)

Transient Joule Heating in PrMnO3 RRAM enables ReLU type Neuron. - Sandip Lashkare; A. Bhat; Pankaj Kumbhare; Udayan Ganguly (NVMTS, 2018)

Stochastic learning in deep neural networks based on nanoscale PCMO device characteristics. - Anakha V. Babu; Sandip Lashkare; Udayan Ganguly; Bipin Rajendran (Neurocomputing, 2018)

An On-Chip Trainable and the Clock-Less Spiking Neural Network With 1R Memristive Synapses. - Aditya Shukla; Udayan Ganguly (IEEE Trans. Biomed. Circuits Syst., 2018)

Fundamental Limit on Network Size Scaling of Oscillatory Neural Networks due to PrMnO3 based Oscillator Phase Noise. - Vivek Saraswat; Sandip Lashkare; Pankaj Kumbhare; Udayan Ganguly (DRC, 2019)

Predicting Performance using Approximate State Space Model for Liquid State Machines. - Ajinkya Gorad; Vivek Saraswat; Udayan Ganguly (IJCNN, 2019)

Ultra-low Energy charge trap flash based synapse enabled by parasitic leakage mitigation. - Shrivastava Shalini; Tanmay Chavan; Udayan Ganguly (CoRR, 2019)

Band-to-Band Tunneling based Ultra-Energy Efficient Silicon Neuron. - Tanmay Chavan; Sangya Dutta; Nihar R. Mohapatra; Udayan Ganguly (CoRR, 2019)

Thermal Engineering of Volatile Switching in PrMnO3 RRAM: Non-Linearity in DC IV Characteristics and Transient Switching Speed. - Jayatika Sakhuja; Sandip Lashkare; Vivek Saraswat; Udayan Ganguly (DRC, 2020)

Adaptive Chemotaxis for Improved Contour Tracking Using Spiking Neural Networks. - Shashwat Shukla; Rohan Pathak; Vivek Saraswat; Udayan Ganguly (ICANN (2), 2020)

Software-Level Accuracy Using Stochastic Computing With Charge-Trap-Flash Based Weight Matrix. - Varun Bhatt; Shrivastava Shalini; Tanmay Chavan; Udayan Ganguly (IJCNN, 2020)

n-Oscillator Neural Network based Efficient Cost Function for n-city Traveling Salesman Problem. - Shruti Landge; Vivek Saraswat; Srisht Fateh Singh; Udayan Ganguly (IJCNN, 2020)

Circuit Cost Reduction for Online STDP using NIPIN Selector as Timekeeping Device in RRAM Synapse. - Ashwin Sanjay Lele; Anand Naik; Lakshya Bandhu; Bhaskar Das; Udayan Ganguly (ISCAS, 2020)

Temperature Dependence of Volatile Current shoot-up in PrMnO3 based Selector-less RRAM. - Sandip Lashkare; Ashwin Bhat; Udayan Ganguly (CoRR, 2020)

India's Rise in Nanoelectronics Research. - Udayan Ganguly; Sandip Lashkare; Swaroop Ganguly (CoRR, 2020)

Algorithm for 3D-Chemotaxis Using Spiking Neural Network. - Jayesh Choudhary; Vivek Saraswat; Udayan Ganguly (ICANN (5), 2021)

Simplified Klinokinesis using Spiking Neural Networks for Resource-Constrained Navigation on the N euromorphic Processor Loihi. - Apoorv Kishore; Vivek Saraswat; Udayan Ganguly (IJCNN, 2021)

Hardware-Friendly Synaptic Orders and Timescales in Liquid State Machines for Speech Classification. - Vivek Saraswat; Ajinkya Gorad; Anand Naik; Aakash Patil; Udayan Ganguly (IJCNN, 2021)

Simplified Klinokinesis using Spiking Neural Networks for Resource-Constrained Navigation on the Neuromorphic Processor Loihi. - Apoorv Kishore; Vivek Saraswat; Udayan Ganguly (CoRR, 2021)

Exploiting the Electrothermal Timescale in PrMnO3 RRAM for a compact, clock-less neuron exhibiting biological spiking patterns. - Omkar Phadke; Jayatika Sakhuja; Vivek Saraswat; Udayan Ganguly (CoRR, 2021)

Liquid State Machine on Loihi: Memory Metric for Performance Prediction. - Rajat Patel; Vivek Saraswat; Udayan Ganguly (ICANN (3), 2022)

Spiking-GAN: A Spiking Generative Adversarial Network Using Time-To-First-Spike Coding. - Vineet Kotariya; Udayan Ganguly (IJCNN, 2022)

Disrupting Low-Write-Energy vs. Fast-Read Dilemma in RRAM to Enable L1 Instruction Cache. - Ashwin Sanjay Lele; Srivatsava Jandhyala; Saurabh Gangurde; Virendra Singh; Sreenivas Subramoney; Udayan Ganguly (VDAT, 2022)

Indigenous Fab-Lab Hybrid Device Integration for Phase Change Memory for In-Memory Computing. - Wasi Uddin; Ankit Bende; Avinash Singh; Tarun Malviya; Rohit Ranjan; Kumar Priyadarshi; Udayan Ganguly (VDAT, 2022)

Stochasticity invariance control in Pr1-x Ca x MnO3 RRAM to enable large-scale stochastic recurrent neural networks. - Vivek Saraswat; Udayan Ganguly (Neuromorph. Comput. Eng., 2022)

Quantum Tunneling Based Ultra-Compact and Energy Efficient Spiking Neuron Enables Hardware SNN. - Ajay Kumar Singh; Vivek Saraswat; Maryam Shojaei Baghini; Udayan Ganguly (IEEE Trans. Circuits Syst. I Regul. Pap., 2022)

Robustness to Variability and Asymmetry of In-Memory On-Chip Training. - Rohit K. Vartak; Vivek Saraswat; Udayan Ganguly (ICANN (9), 2023)

MAdapter: A Multimodal Adapter for Liquid State Machines configures the Input Layer for the same Reservoir to enable Vision and Speech Classification. - Anmol Biswas; Nivedya S. Nambiar; Kushal Kejriwal; Udayan Ganguly (IJCNN, 2023)

Real-world Performance Estimation of Liquid State Machines for Spoken Digit Classification. - Abhishek Kadam; Anmol Biswas; Vivek Saraswat; Ajay Kumar Singh; Laxmeesha Somappa; Maryam Shojaei Baghini; Udayan Ganguly (IJCNN, 2023)

E-STDP: A Spatio-Temporally Local Unsupervised Learning Rule for Sparse Coded Spiking Convolutional Autoencoders. - Vineet Kotariya; Anmol Biswas; Udayan Ganguly (IJCNN, 2023)

Optimizing Throughput and Latency of Static 5G Multicast Networks using Boltzmann Machines. - Vadlamani Madhav; Vivek Saraswat; Udayan Ganguly (IJCNN, 2023)

ANN Inference enabled by Variability Mitigation using 2T-1R Bit Cell-based Design Space Analysis. - Shreyas Deshmukh; Vivek Saraswat; Venkatesh Gopinath; Rajesh Nair; Laxmeesha Somappa; Maryam Shojaei Baghini; Udayan Ganguly (ISCAS, 2023)

FeFET-based MirrorBit cell for High-density NVM storage. - Paritosh Meihar; Rowtu Srinu; Vivek Saraswat; Sandip Lashkare; Halid Mulaosmanovic; Stefan Dünkel; Sven Beyer; Udayan Ganguly (CoRR, 2023)

Schottky Barrier MOSFET Enabled Ultra-Low Power Real-Time Neuron for Neuromorphic Computing. - Shubham Patil; Jayatika Sakhuja; Ajay Kumar Singh; Anmol Biswas; Vivek Saraswat; Sandeep Kumar; Sandip Lashkare; Udayan Ganguly (CoRR, 2023)

Process Voltage Temperature Variability Estimation of Tunneling Current for Band-to-Band-Tunneling based Neuron. - Shubham Patil; Anand Sharma; Gaurav R; Abhishek Kadam; Ajay Kumar Singh; Sandip Lashkare; Nihar Ranjan Mohapatra; Udayan Ganguly (CoRR, 2023)

Ferroelectric MirrorBit-Integrated Field-Programmable Memory Array for TCAM, Storage, and In-Memory Computing Applications. - Paritosh Meihar; Rowtu Srinu; Sandip Lashkare; Ajay Kumar Singh; Halid Mulaosmanovic; Veeresh Deshpande; Stefan Dünkel; Sven Beyer; Udayan Ganguly (CoRR, 2023)

Non-Ideal Program-Time Conservation in Charge Trap Flash for Deep Learning. - Shrivastava Shalini; Vivek Saraswat; Gayatri Dash; Samyak Chakrabarty; Udayan Ganguly (CoRR, 2023)

Enhanced regularization for on-chip training using analog and temporary memory weights. - Raghav Singhal; Vivek Saraswat; Shreyas Deshmukh; Sreenivas Subramoney; Laxmeesha Somappa; Maryam Shojaei Baghini; Udayan Ganguly (Neural Networks, 2023)

A temporally and spatially local spike-based backpropagation algorithm to enable training in hardware. - Anmol Biswas; Vivek Saraswat; Udayan Ganguly (Neuromorph. Comput. Eng., 2023)

A Compact and Ultra-Low-Power Low-Pass Filter Based on Band-to-Band Tunneling Effect. - Abhishek Kadam; Ajay Kumar Singh; Laxmeesha Somappa; Maryam Shojaei Baghini; Udayan Ganguly (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

Resistive Processing Unit-based On-chip ANN Training with Digital Memory. - Shreyas Deshmukh; Shubham Patil; Anmol Biswas; Vivek Saraswat; Abhishek Kadam; Ajay Kumar Singh; Laxmeesha Somappa; Maryam Shojaei Baghini; Udayan Ganguly (AICAS, 2024)

Device-Aware Quantization in Resistive Random Access Memory-Based Crossbar Arrays to Account for Device Non-Idealities. - Jayatika Sakhuja; Sandip Lashkare; Udayan Ganguly (DRC, 2024)

Ultra Low-Cost Epi-Gd2O3 MOSFET Based Novel 1T Frequency Detector. - Nishant Saurabh; Paritosh Meihar; Shubham Patil; Udayan Ganguly (DRC, 2024)

Temporal and Spatial Reservoir Ensembling Techniques for Liquid State Machines. - Anmol Biswas; Sharvari Ashok Medhe; Raghav Singhal; Udayan Ganguly (ICONS, 2024)

QFALT: Quantization and Fault Aware Loss for Training Enables Performance Recovery with Unreliable Weights. - Anmol Biswas; Udayan Ganguly (IJCNN, 2024)

Novel SRAM based Temporary Memory for PVT Variation Tolerant Analog In-Memory Computing. - Sivakumar Elangovan; Porus Vangala; Yeshwanth Sunnapu; Khalid Shaikh 001; Udayan Ganguly; Maryam Shojaei Baghini (ISCAS, 2024)

A Compact Low Power Multi-mode Spiking Neuron using Band to Band Tunneling. - Abhishek A. Kadam; Ajay Kumar Singh; Laxmeesha Somappa; Maryam Shojaei Baghini; Udayan Ganguly (ISCAS, 2024)

A Compact 140nW/input Winner-Take-All Circuit for Spiking Neural Networks. - Gaurav R; Abhishek A. Kadam; Ajay Kumar Singh; Laxmeesha Somappa; Maryam Shojaei Baghini; Udayan Ganguly (ISCAS, 2024)

A sub-100 nW Power, Compact CTDSM with a Band-To-Band Tunnelling Loop Filter. - Atharva Raut; Abhishek A. Kadam; Ajay Kumar Singh; Laxmeesha Somappa; Maryam Shojaei Baghini; Udayan Ganguly (ISCAS, 2024)

Area Efficient Multi-Memristor Bit Cell Design for Resistive Processing Unit-Based Neural Network Training. - Gaurav R; Ujwal Uttarwar; Shreyas Deshmukh; Jayatika Sakhuja; Kunal Randad; Samarth Agarwal; Akshata Koshti; Anmol Biswas; Udayan Ganguly (NVMTS, 2024)

Impact of Memory Parameters on Sensitivity Margin of Analog-to-Digital Converter Limiting Neural Network Density. - Nirmal Solanki; Harshvardhan Singh; Sandip Lashkare; Jayatika Sakhuja; Udayan Ganguly (NVMTS, 2024)

System-level Impact of Non-Ideal Program-Time of Charge Trap Flash (CTF) on Deep Neural Network. - Shalini Shrivastava; Anmol Biswas; Samyak Chakrabarty; Gayatri Dash; Vivek Saraswat; Udayan Ganguly (CoRR, 2024)

Heracles: A HfO2 Ferroelectric Capacitor Compact Model for Efficient Circuit Simulations. - Luca Fehlings; Md Hanif Ali; Paolo Gibertini; Egidio A. Gallicchio; Udayan Ganguly; Veeresh Deshpande; Erika Covi (CoRR, 2024)

Editorial: Focus on Neuromorphic Circuits and Systems using Emerging Devices. - Chetan Singh Thakur; Udayan Ganguly (Neuromorph. Comput. Eng., 2024)

Band to Band Tunneling-Based Low Power and Low Area Tunable Spike Delay Element. - Abhishek A. Kadam; Shreyas Deshmukh; Laxmeesha Somappa; Maryam Shojaei Baghini; Udayan Ganguly (ISCAS, 2025)

A Neuromodulation-based Spiking Neural Network using ReRAM Array. - Nirmal Shah; Jayatika Sakhuja; Udayan Ganguly; Sandip Lashkare; Laxmeesha Somappa (ISCAS, 2025)

A Hardware-Software Co-Design Platform to Evaluate SNN Workloads for ReRAM-based IMC. - Nirmal Shah; Jayatika Sakhuja; Udayan Ganguly; Sandip Lashkare; Laxmeesha Somappa (ISCAS, 2025)

A 0.93 nW/node Ultra-Low Power Oscillatory Neural Network using BTBT-based Oscillators. - Abhinav Thaduri; Abhishek A. Kadam; Laxmeesha Somappa; Udayan Ganguly; Maryam Shojaei Baghini (ISCAS, 2025)

Regularization-based Framework for Quantization-, Fault- and Variability-Aware Training. - Anmol Biswas; Raghav Singhal; Sivakumar Elangovan; Shreyas Sabnis; Udayan Ganguly (CoRR, 2025)