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Research

Projects

Publications

Journals

  1. Kumar, H. Chakraborty, B., Sharma, S., and Mukhopadhyay, S., 2023. XMD: An Expansive Hardware-telemetry-based Mobile Malware Detector to enhance Endpoint Detection. In: Under Review in IEEE Transactions on Information Forensics & Security.
  2. Chakraborty, B. and Mukhopadhyay, S., 2022. Heterogeneous Recurrent Spiking Neural Network for Spatio-Temporal Classification. Accepted in Frontiers in Neuroscience.
  3. Chakraborty, B. and Mukhopadhyay, S., 2022. ยต DARTS: Model Uncertainty-Aware Differentiable Architecture Search. In: IEEE Access.
  4. Kim, D., Chakraborty, B., She, X., Lee E., Kang, B. and Mukhopadhyay, S., 2021. MONETA: A Processing-In-Memory-based Hardware Platform for the Hybrid Convolutional Spiking Neural Network with On-line Learning. In: Frontiers in Neuroscience.
  5. Chakraborty, B. and Mukhopadhyay, S., 2021. Characterization of Generalizability of Spike Time Dependent Plasticity trained Spiking Neural Networks. In: Frontiers in Neuroscience
  6. Chakraborty, B., She, X. and Mukhopadhyay, S., 2021. A Fully Spiking Hybrid Neural Network for Energy-Efficient Object Detection. In: IEEE Transactions on Image Processing.
  7. Ghosh, A., Chakraborty, B., Raha, A. and Mukherjee, A., 2021. Improving Network Throughput by Hardware Realization of a Dynamic Content Caching Scheme for Information-Centric Networking (ICN). In: Wireless Personal Communications, 116(4), pp.2873-2898.
  8. Chakraborty, B., Divakaran, D.M., Nevat, I., Peters, G.W. and Gurusamy, M., 2021. Cost-aware Feature Selection for IoT Device Classification. In: IEEE Internet of Things Journal.
  9. Chakraborty, B., Ghosh, L. and Konar, A., 2020. Optimal selection of EEG electrodes using interval type-2 fuzzy-logic-based semi-separating signaling game. In: IEEE Transactions on Cybernetics.
  10. Chakraborty, B., Ghosh, L. and Konar, A., 2019. Designing phase-sensitive common spatial pattern filter to improve brain-computer interfacing. In: IEEE Transactions on Biomedical Engineering, 67(7), pp.2064-2072.

Conferences

  1. [ICLR 2023] Chakraborty, B. and Mukhopadhyay, S., 2022. Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles. Accepted in International Conference on Learning Representations (ICLR) 2023.
  2. [ICLR 2023] Kang, B., Chakraborty, B. and Mukhopadhyay, S., 2022. Unsupervised 3d object learning through neuron activity aware plasticity. Accepted in International Conference on Learning Representations (ICLR) 2023.
  3. [IJCNN 2023*] Chakraborty, B. and Mukhopadhyay, S., 2023, July. Self-Organizing Spiking Neural Network for Continual Time Series Prediction. Submitted In 2023 International Joint Conference on Neural Networks (IJCNN) IEEE.
  4. [DATE 2023] Chakraborty, B.*, Kamal, U.*, She, X. and Dash S., Mukhopadhyay, S., 2023. Brain-Inspired Spatiotemporal Processing Algorithms for Efficient Event-Based Perception. In: Accepted in 2023 Design, Automation, and Test in Europe Conference.
  5. [DATE 2021] Lee, M., She, X., Chakraborty, B., Dash, S., Mudassar, B. and Mukhopadhyay, S., 2021, February. Reliable Edge Intelligence in Unreliable Environment. In 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE) (pp. 896-901). IEEE.
  6. [IJCNN 2020] Dewan, D., Ghosh, L., Chakraborty, B., Chowdhury, A., Konar, A. and Nagar, A.K., 2020, July. Cognitive Analysis of Mental States of People According to Ethical Decisions Using Deep Learning Approach. In 2020 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE.
  7. [PReMI 2020] Chowdhury, A., Chakraborty, B., Ghosh, L., Dewan, D. and Konar, A., 2019, December. A Dynamical Phase Synchronization Based Approach to Study the Effects of Long-Term Alcoholism on Functional Connectivity Dynamics, in International Conference on Pattern Recognition and Machine Intelligence (PReMI) (pp. 218-226). Springer, Cham.
  8. [IEEE SMC 2019] Chakraborty, B., Ghosal, S., Ghosh, L., Konar, A. and Nagar, A.K., 2019, October. Phase-Sensitive Common Spatial Pattern for EEG Classification. In 2019 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 3654-3659). IEEE.
  9. [IEEE IWCMC 2019] Dambri, O.A., Cherkaoui, S. and Chakraborty, B., 2019, June. Design and Evaluation of SelfAssembled Actin-Based Nano-Communication. In 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC) (pp. 208-213). IEEE.
  10. [IEEE TENSYMP] Ghosal, S., Chakraborty, B., Laha, M. and Konar, A., 2019, June. Phase-Synchrony And Causality Analysis Of Brain Signals To Determine Signal Transduction Pathways In Color Perception. In 2019 IEEE Region 10 Symposium (TENSYMP) (pp. 778-783). IEEE.
  11. [IEEE CALCON] Chakraborty, B., Banerjee, B., Mukherjee, A. and Naskar, M.K., 2017, December. Optimal cache allocation in a mobility-based heterogeneous network using Bayesian games. In 2017 IEEE Calcutta Conference (CALCON) (pp. 423-427). IEEE.