High Sensitivity Biosensor using Injection Locked Spin Torque Nano-Oscillators. - Tathagata Srimani; Bibhas Manna; Anand Kumar Mukhopadhyay; Kaushik Roy 001; Mrigank Sharad (CoRR, 2015)

Real-time digitized neural-spike storage scheme in multiple channels for biomedical applications. - Anand Kumar Mukhopadhyay; Indrajit Chakrabarti; Mrigank Sharad (APSIPA, 2017)

Low Power Implantable Spike Sorting Scheme Based on Neuromorphic Classifier with Supervised Training Engine. - Rakshit Pathak; Saurav Dash; Anand Kumar Mukhopadhyay; Arindam Basu; Mrigank Sharad (ISVLSI, 2017)

Classification of Hand Movements by Surface Myoelectric Signal Using Artificial-Spiking Neural Network Model. - Anand Kumar Mukhopadhyay; Indrajit Chakrabarti; Mrigank Sharad (IEEE SENSORS, 2018)

Tuning Surface Defects of Mesoporous ZnO Nanorods for High Speed Humidity Sensing Application. - Avik Sett; Anand Kumar Mukhopadhyay; Monojit Mondal; Santanab Majumder; Tarun Kanti Bhattacharyya (IEEE SENSORS, 2018)

Power efficient Spiking Neural Network Classifier based on memristive crossbar network for spike sorting application. - Anand Kumar Mukhopadhyay; Indrajit Chakrabarti; Arindam Basu; Mrigank Sharad (CoRR, 2018)

Intelligent Wireless Sensor Nodes for Human Footstep Sound Classification for Security Application. - Anand Kumar Mukhopadhyay; Naligala Moses Prabhakar; Divya Lakshmi Duggisetty; Indrajit Chakrabarti; Mrigank Sharad (CoRR, 2019)

Forearm Orientation Invariant Analysis for Surface Myoelectric Pattern Recognition. - Anand Kumar Mukhopadhyay; Soumyajit Poddar; Suman Samui (iSES, 2020)

Extreme Gradient Boosting for Limb Position Invariant Myoelectric Pattern Recognition. - Suman Samui; Anand Kumar Mukhopadhyay; Pratik K. Ghadge; Gaurav Kumar (iSES, 2020)

An experimental study on upper limb position invariant EMG signal classification based on deep neural network. - Anand Kumar Mukhopadhyay; Suman Samui (Biomed. Signal Process. Control., 2020)

Power-efficient Spike Sorting Scheme Using Analog Spiking Neural Network Classifier. - Anand Kumar Mukhopadhyay; Atul Sharma; Indrajit Chakrabarti; Arindam Basu; Mrigank Sharad (ACM J. Emerg. Technol. Comput. Syst., 2021)

Systematic realization of a fully connected deep and convolutional neural network architecture on a field programmable gate array. - Anand Kumar Mukhopadhyay; Sampurna Majumder; Indrajit Chakrabarti (Comput. Electr. Eng., 2022)

Towards Power-Efficient Design of Myoelectric Controller based on Evolutionary Computation. - Ahmed Aqeel Shaikh; Anand Kumar Mukhopadhyay; Soumyajit Poddar; Suman Samui (CoRR, 2022)

Acoustic scene analysis using analog spiking neural network. - Anand Kumar Mukhopadhyay; Naligala Moses Prabhakar; Divya Lakshmi Duggisetty; Indrajit Chakrabarti; Mrigank Sharad (Neuromorph. Comput. Eng., 2022)

Heterogeneous Stacked Ensemble Framework for Surface Electromyography Signal Classification. - Suman Samui; Soumen Garai; Anindya Ghosh; Anand Kumar Mukhopadhyay (PReMI, 2023)