| 2026 | ISCAS | 3D Monolithic Integrated Indium Tin Oxide-Silicon Hybrid Leaky Integrate and Fire Neuron. | Harshitha Gangu, Aakash Deshpande, Ranie S. Jeyakumar, Sahil Rakesh Wani, Abhishek A. Kadam, Udayan Ganguly, Laxmeesha Somappa, Veeresh Deshpande |
| 2025 | ISCAS | 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 |
| 2025 | ISCAS | A Neuromodulation-based Spiking Neural Network using ReRAM Array. | Nirmal Shah, Jayatika Sakhuja, Udayan Ganguly, Sandip Lashkare, Laxmeesha Somappa |
| 2025 | ISCAS | A Hardware-Software Co-Design Platform to Evaluate SNN Workloads for ReRAM-based IMC. | Nirmal Shah, Jayatika Sakhuja, Udayan Ganguly, Sandip Lashkare, Laxmeesha Somappa |
| 2025 | ISCAS | 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 |
| 2024 | IJCNN | QFALT: Quantization and Fault Aware Loss for Training Enables Performance Recovery with Unreliable Weights. | Anmol Biswas, Udayan Ganguly |
| 2024 | ISCAS | Novel SRAM based Temporary Memory for PVT Variation Tolerant Analog In-Memory Computing. | Sivakumar Elangovan, Porus Vangala, Yeshwanth Sunnapu, Khalid Shaikh, Udayan Ganguly, Maryam Shojaei Baghini |
| 2024 | ISCAS | 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 |
| 2024 | ISCAS | 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 |
| 2024 | ISCAS | 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 |
| 2023 | ICANN | Robustness to Variability and Asymmetry of In-Memory On-Chip Training. | Rohit K. Vartak, Vivek Saraswat, Udayan Ganguly |
| 2023 | IJCNN | 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 |
| 2023 | IJCNN | 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 |
| 2023 | IJCNN | E-STDP: A Spatio-Temporally Local Unsupervised Learning Rule for Sparse Coded Spiking Convolutional Autoencoders. | Vineet Kotariya, Anmol Biswas, Udayan Ganguly |
| 2023 | IJCNN | Optimizing Throughput and Latency of Static 5G Multicast Networks using Boltzmann Machines. | Vadlamani Madhav, Vivek Saraswat, Udayan Ganguly |
| 2023 | ISCAS | 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 |
| 2022 | ICANN | Liquid State Machine on Loihi: Memory Metric for Performance Prediction. | Rajat Patel, Vivek Saraswat, Udayan Ganguly |
| 2022 | IJCNN | Spiking-GAN: A Spiking Generative Adversarial Network Using Time-To-First-Spike Coding. | Vineet Kotariya, Udayan Ganguly |
| 2021 | ICANN | Algorithm for 3D-Chemotaxis Using Spiking Neural Network. | Jayesh Choudhary, Vivek Saraswat, Udayan Ganguly |
| 2021 | IJCNN | Simplified Klinokinesis using Spiking Neural Networks for Resource-Constrained Navigation on the N euromorphic Processor Loihi. | Apoorv Kishore, Vivek Saraswat, Udayan Ganguly |
| 2021 | IJCNN | Hardware-Friendly Synaptic Orders and Timescales in Liquid State Machines for Speech Classification. | Vivek Saraswat, Ajinkya Gorad, Anand Naik, Aakash Patil, Udayan Ganguly |
| 2020 | ICANN | Adaptive Chemotaxis for Improved Contour Tracking Using Spiking Neural Networks. | Shashwat Shukla, Rohan Pathak, Vivek Saraswat, Udayan Ganguly |
| 2020 | IJCNN | Software-Level Accuracy Using Stochastic Computing With Charge-Trap-Flash Based Weight Matrix. | Varun Bhatt, Shrivastava Shalini, Tanmay Chavan, Udayan Ganguly |
| 2020 | IJCNN | n-Oscillator Neural Network based Efficient Cost Function for n-city Traveling Salesman Problem. | Shruti Landge, Vivek Saraswat, Srisht Fateh Singh, Udayan Ganguly |
| 2020 | ISCAS | 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 |
| 2019 | IJCNN | Predicting Performance using Approximate State Space Model for Liquid State Machines. | Ajinkya Gorad, Vivek Saraswat, Udayan Ganguly |
| 2018 | ICANN | Sparsity Enables Data and Energy Efficient Spiking Convolutional Neural Networks. | Varun Bhatt, Udayan Ganguly |
| 2018 | ICANN | Design of Spiking Rate Coded Logic Gates for C. elegans Inspired Contour Tracking. | Shashwat Shukla, Sangya Dutta, Udayan Ganguly |
| 2018 | IJCNN | A case for multiple and parallel RRAMs as synaptic model for training SNNs. | Aditya Shukla, Sidharth Prasad, Sandip Lashkare, Udayan Ganguly |
| 2017 | IJCNN | A software-equivalent SNN hardware using RRAM-array for asynchronous real-time learning. | Aditya Shukla, Vinay Kumar, Udayan Ganguly |