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)

Anomalous Scaling of Response Time of Chemical Sensors with Concentration of Unstable Gases. - Vivek Saraswat; Pradeep R. Nair (IEEE SENSORS, 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)

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)

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)

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)

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)

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)

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)

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)

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)

Application of Machine Learning Techniques to Ad-Hoc Wireless Networks Performance Enhancement. - Parikshit N. Mahalle; V. J. Vijayalakshmi; Vivek Saraswat; T. Vinithra Banu; Dinesh Goyal; Batani Raghavendra Rao (ICCCNT, 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)