On-chip learning for domain wall synapse based Fully Connected Neural Network. - Apoorv Dankar; Anand Verma; Utkarsh Saxena; Divya Kaushik; Shouri Chatterjee; Debanjan Bhowmik (CoRR, 2018)

On-chip Learning In A Conventional Silicon MOSFET Based Analog Hardware Neural Network. - Nilabjo Dey; Janak Sharda; Utkarsh Saxena; Divya Kaushik; Utkarsh Singh; Debanjan Bhowmik (BioCAS, 2019)

Comparing domain wall synapse with other Non Volatile Memory devices for on-chip learning in Analog Hardware Neural Network. - Divya Kaushik; Utkarsh Singh; Upasana Sahu; Indu Sreedevi; Debanjan Bhowmik (CoRR, 2019)

Reduction of the Weight-Decay Rate of Volatile Memory Synapses in an Analog Hardware Neural Network for Accurate and Scalable On-Chip Learning. - Janak Sharda; Nilabjo Dey; Ankesh Jain; Debanjan Bhowmik (ICONS, 2020)

Design of a Conventional-Transistor-Based Analog Integrated Circuit for On-Chip Learning in a Spiking Neural Network. - Shikhar Tuli; Debanjan Bhowmik (ICONS, 2020)

Supervised Learning Using a Dressed Quantum Network with "Super Compressed Encoding": Algorithm and Quantum-Hardware-Based Implementation. - Saurabh Kumar; Siddharth Dangwal; Debanjan Bhowmik (CoRR, 2020)

Supervised learning with a quantum classifier using multi-level systems. - Soumik Adhikary; Siddharth Dangwal; Debanjan Bhowmik (Quantum Inf. Process., 2020)

A Quantum Activation Function for Neural Networks: Proposal and Implementation. - Saurabh Kumar; Siddharth Dangwal; Soumik Adhikary; Debanjan Bhowmik (IJCNN, 2021)

A Crossbar Array of Analog-Digital-Hybrid Volatile Memory Synapse Cells for Energy-Efficient On-Chip Learning. - Janak Sharda; Ritvik Sharma; Debanjan Bhowmik (ISCAS, 2021)

Kuramoto-model-based data classification using the synchronization dynamics of uniform-mode spin Hall nano-oscillators. - Neha Garg; Sri Vasudha Hemadri Bhotla; Pranaba Kishor Muduli; Debanjan Bhowmik (Neuromorph. Comput. Eng., 2021)

On-chip learning of a domain-wall-synapse-crossbar-array-based convolutional neural network. - Varun Bhavin Desai; Divya Kaushik; Janak Sharda; Debanjan Bhowmik (Neuromorph. Comput. Eng., 2022)

Fast-QTrain: an algorithm for fast training of variational classifiers. - Siddharth Dangwal; Ritvik Sharma; Debanjan Bhowmik (Quantum Inf. Process., 2022)

Impact of edge defects on the synaptic characteristic of a ferromagnetic domain-wall device and on on-chip learning. - Ram Singh Yadav; Aniket Sadashiva; Amod Holla; Pranaba Kishor Muduli; Debanjan Bhowmik (Neuromorph. Comput. Eng., 2023)

Spin-coated ALPO-RRAM with Switching Speed < 50 ns and Nonlinearity 0.5. - Nitupon Dihingia; Aniket Sadashiva; Debanjan Bhowmik; Sandip Mondal (DRC, 2024)

Variational Quantum Factorization (VQF) using Different Variations of Quantum Approximate Optimization Algorithm (QAOA). - Janhavi Hatwar; Nakul Aggarwal; Debanjan Bhowmik (COMSNETS, 2025)

Improved Performance of Multi-Angle Quantum Approximate Optimization Algorithm (ma-QAOA) Compared to QAOA On Simulation and Experimental Hardware Platforms. - Vandit Srivastava; Rohith P; Sanyam Singhal; Debanjan Bhowmik (COMSNETS, 2025)