Publications

Journals:

[1] Mukhopadhyay, Anand Kumar, Moses Prabhakar Naligala, Divya Lakshmi Duggisetty, Indrajit Chakrabarti, and Mrigank Sharad. "Acoustic scene analysis using analog spiking neural network." Neuromorphic Computing and Engineering 2, no. 4 (2022): 044003. [ Link: - https://iopscience.iop.org/article/10.1088/2634-4386/ac90e5/meta ]

[2] Mukhopadhyay, A. K., Sharma, A., Chakrabarti, I., Basu, A., & Sharad, M. (2021). Power-efficient spike sorting scheme using analog spiking neural network classifier. ACM Journal on Emerging Technologies in Computing Systems (JETC), 17(2), 1-29. [Link: https://dl.acm.org/doi/abs/10.1145/3432814] [Ref:https://www.growkudos.com/publications/10.1145%25252F3432814/reader]

[3] Mukhopadhyay, A. K., Majumder, S., & Chakrabarti, I. (2022). Systematic realization of a fully connected deep and convolutional neural network architecture on a field programmable gate array. Computers & Electrical Engineering, 97, 107628.[Link - https://www.sciencedirect.com/science/article/pii/S0045790621005577 ]

[4] Mukhopadhyay, A. K., & Samui, S. (2020). An experimental study on upper limb position invariant EMG signal classification based on deep neural network. Biomedical signal processing and control, 55, 101669. [Link: https://www.sciencedirect.com/science/article/abs/pii/S1746809419302502 ]

[5] Tiwari, P. K., Saramekala, G. K., Dubey, S., & Mukhopadhyay, A. K. (2014). Analytical model for subthreshold current and subthreshold swing of short-channel double-material-gate MOSFETs with strained-silicon channel on silicon—germanium substrates. Journal of Semiconductors, 35(10), 104002. (https://iopscience.iop.org/article/10.1088/1674-4926/35/10/104002/meta )

Conference Proceedings:

[1] Mukhopadhyay, A. K., Chakrabarti, I., & Sharad, M. (2018, October). Classification of Hand Movements by Surface Myoelectric Signal Using Artificial-Spiking Neural Network Model. In 2018 IEEE SENSORS (pp.1-4). IEEE.

[2] Mukhopadhyay, A. K., Chakrabarti, I., & Sharad, M. (2017, December). Real-time digitized neural spike storage scheme in multiple channels for biomedical applications. In 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) (pp. 14301435). IEEE

[3] Pathak, R., Dash, S., Mukhopadhyay, A. K., Basu, A., & Sharad, M. (2017, July). Low power implantable spike sorting scheme based on neuromorphic classifier with a supervised training engine. In 2017 IEEE Computer Society Annual Symposium on VLSI (ISVLSI) (pp. 266-271). IEEE.

[4] Srimani, T., Manna, B., Mukhopadhyay, A. K., Roy, K., & Sharad, M. (2016, June). Robust and high sensitivity biosensor using injection-locked spin-torque nano-oscillators. In 2016 74th Annual Device Research Conference (DRC) (pp. 1-2). IEEE.

Conference Presentation:

[1] Mukhopadhyay, A. K., Chakrabarti, I., & Sharad, M. (2020, January). Energy efficient architectures for neuromorphic computing. VLSI Design Conference (VLSID 2020) at Student Research Forum, Bengaluru.