Design and Evaluation of Self-Assembled Actin-Based Nano-Communication. - Oussama Abderrahmane Dambri; Soumaya Cherkaoui; Biswadeep Chakraborty (IWCMC, 2019)

A Dynamical Phase Synchronization Based Approach to Study the Effects of Long-Term Alcoholism on Functional Connectivity Dynamics. - Abir Chowdhury; Biswadeep Chakraborty; Lidia Ghosh; Dipayan Dewan; Amit Konar (PReMI (2), 2019)

Phase-Sensitive Common Spatial Pattern for EEG Classification. - Biswadeep Chakraborty; Saptak Ghosal; Lidia Ghosh; Amit Konar; Atulya K. Nagar (SMC, 2019)

Cognitive Analysis of Mental States of People According to Ethical Decisions Using Deep Learning Approach. - Dipayan Dewan; Lidia Ghosh; Biswadeep Chakraborty; Abir Chowdhury; Amit Konar; Atulya K. Nagar (IJCNN, 2020)

Designing Phase-Sensitive Common Spatial Pattern Filter to Improve Brain-Computer Interfacing. - Biswadeep Chakraborty; Lidia Ghosh; Amit Konar (IEEE Trans. Biomed. Eng., 2020)

Reliable Edge Intelligence in Unreliable Environment. - Minah Lee; Xueyuan She; Biswadeep Chakraborty; Saurabh Dash; Burhan Ahmad Mudassar; Saibal Mukhopadhyay (DATE, 2021)

Characterization of Generalizability of Spike Time Dependent Plasticity trained Spiking Neural Networks. - Biswadeep Chakraborty; Saibal Mukhopadhyay (CoRR, 2021)

$μ$DARTS: Model Uncertainty-Aware Differentiable Architecture Search. - Biswadeep Chakraborty; Saibal Mukhopadhyay (CoRR, 2021)

Cost-Aware Feature Selection for IoT Device Classification. - Biswadeep Chakraborty; Dinil Mon Divakaran; Ido Nevat; Gareth W. Peters; Mohan Gurusamy (IEEE Internet Things J., 2021)

Optimal Selection of EEG Electrodes Using Interval Type-2 Fuzzy-Logic-Based Semiseparating Signaling Game. - Biswadeep Chakraborty; Lidia Ghosh; Amit Konar (IEEE Trans. Cybern., 2021)

A Fully Spiking Hybrid Neural Network for Energy-Efficient Object Detection. - Biswadeep Chakraborty; Xueyuan She; Saibal Mukhopadhyay (IEEE Trans. Image Process., 2021)

Improving Network Throughput by Hardware Realization of a Dynamic Content Caching Scheme for Information-Centric Networking (ICN). - Archisman Ghosh; Biswadeep Chakraborty; Arnab Raha; Amitava Mukherjee 001 (Wirel. Pers. Commun., 2021)

μDARTS: Model Uncertainty-Aware Differentiable Architecture Search. - Biswadeep Chakraborty; Saibal Mukhopadhyay (IEEE Access, 2022)

XMD: An Expansive Hardware-telemetry based Malware Detector to enhance Endpoint Detection. - Harshit Kumar; Biswadeep Chakraborty; Sudarshan Sharma; Nikhil Chawla; Saibal Mukhopadhyay (CoRR, 2022)

Heterogeneous Recurrent Spiking Neural Network for Spatio-Temporal Classification. - Biswadeep Chakraborty; Saibal Mukhopadhyay (CoRR, 2022)

Brain-Inspired Spatiotemporal Processing Algorithms for Efficient Event-Based Perception. - Biswadeep Chakraborty; Uday Kamal; Xueyuan She; Saurabh Dash; Saibal Mukhopadhyay (DATE, 2023)

Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles. - Biswadeep Chakraborty; Saibal Mukhopadhyay (ICLR, 2023)

Unsupervised 3D Object Learning through Neuron Activity aware Plasticity. - Beomseok Kang; Biswadeep Chakraborty; Saibal Mukhopadhyay (ICLR, 2023)

Brain-Inspired Spiking Neural Network for Online Unsupervised Time Series Prediction. - Biswadeep Chakraborty; Saibal Mukhopadhyay (IJCNN, 2023)

A Reconfigurable Quantum State Tomography Solver in FPGA. - Nathan Eli Miller; Biswadeep Chakraborty; Saibal Mukhopadhyay (QCE, 2023)

XMD: An Expansive Hardware-Telemetry-Based Mobile Malware Detector for Endpoint Detection. - Harshit Kumar; Biswadeep Chakraborty; Sudarshan Sharma; Saibal Mukhopadhyay (IEEE Trans. Inf. Forensics Secur., 2023)

RoboKoop: Efficient Control Conditioned Representations from Visual Input in Robotics using Koopman Operator. - Hemant Kumawat; Biswadeep Chakraborty; Saibal Mukhopadhyay (CoRL, 2024)

Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN. - Biswadeep Chakraborty; Beomseok Kang; Harshit Kumar; Saibal Mukhopadhyay (ICLR, 2024)

Topological Representations of Heterogeneous Learning Dynamics of Recurrent Spiking Neural Networks. - Biswadeep Chakraborty; Saibal Mukhopadhyay (IJCNN, 2024)

Learning locally interacting discrete dynamical systems: Towards data-efficient and scalable prediction. - Beomseok Kang; Harshit Kumar; Minah Lee; Biswadeep Chakraborty; Saibal Mukhopadhyay (L4DC, 2024)

STEMFold: Stochastic temporal manifold for multi-agent interactions in the presence of hidden agents. - Hemant Kumawat; Biswadeep Chakraborty; Saibal Mukhopadhyay (L4DC, 2024)

Online Relational Inference for Evolving Multi-agent Interacting Systems. - Beomseok Kang; Priyabrata Saha; Sudarshan Sharma; Biswadeep Chakraborty; Saibal Mukhopadhyay (NeurIPS, 2024)

Studying the Impact of Stochasticity on the Evaluation of Deep Neural Networks for Forest-Fire Prediction. - Harshit Kumar; Biswadeep Chakraborty; Beomseok Kang; Saibal Mukhopadhyay (CoRR, 2024)

Towards Robust Real-Time Hardware-based Mobile Malware Detection using Multiple Instance Learning Formulation. - Harshit Kumar; Sudarshan Sharma; Biswadeep Chakraborty; Saibal Mukhopadhyay (CoRR, 2024)

Exploiting Heterogeneity in Timescales for Sparse Recurrent Spiking Neural Networks for Energy-Efficient Edge Computing. - Biswadeep Chakraborty; Saibal Mukhopadhyay (CoRR, 2024)

A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Neural Networks. - Biswadeep Chakraborty; Harshit Kumar; Saibal Mukhopadhyay (CoRR, 2024)

Has the Deep Neural Network learned the Stochastic Process? An Evaluation Viewpoint. - Harshit Kumar; Beomseok Kang; Biswadeep Chakraborty; Saibal Mukhopadhyay (ICLR, 2025)

Dynamic Graph Structure Estimation for Learning Multivariate Point Process using Spiking Neural Networks. - Biswadeep Chakraborty; Hemant Kumawat; Beomseok Kang; Saibal Mukhopadhyay (CoRR, 2025)

FLAMES: A Hybrid Spiking-State Space Model for Adaptive Memory Retention in Event-Based Learning. - Biswadeep Chakraborty; Saibal Mukhopadhyay (CoRR, 2025)