Saikat  Majumder

Department Electronics & Telecom. Engineering
Designation Assistant. Professor
Educational Qualification Ph.D.
E-Mail smajumder.etc@nitrr.ac.in
Contact Number
Areas of Interest
  • Wireless communicaiton and signal processing.
  • Machine learning based adaptive communicaiton systems.
  • Deep leaning and reinforcement learning.
Publications

Articles in International Journals:

1. Giri, M.K. and Majumder, S., 2021. Eigenvalue-based cooperative spectrum sensing using kernel fuzzy c-means clustering. Digital Signal Processing, vol. 111, p.102996. https://doi.org/10.1016/j.dsp.2021.102996

2. Giri, M.K. and Majumder, S., 2021. Cooperative Spectrum Sensing Using Extreme Learning Machines for Cognitive Radio Networks. IETE Technical Review, pp.1-15. https://doi.org/10.1080/02564602.2021.1896979

3. Giri, M.K. and Majumder, S., 2022. On eigenvalue-based cooperative spectrum sensing using feature extraction and maximum entropy fuzzy clustering. Journal of Ambient Intelligence and Humanized Computing, pp.1-15. https://doi.org/10.1007/s12652-021-03670-3

4. Majumder, S., 2022. A Gaussian mixture model method for eigenvalue-based spectrum sensing with uncalibrated multiple antennas. Signal Processing, vol. 192, p.108404. https://doi.org/10.1016/j.sigpro.2021.108404

5. Meenpal, A., Majumder, S. and Oruganti, M., 2022. Improved Reversible Data Hiding Scheme Based on Mean Preservation and Difference Expansion. IETE Journal of Research, pp.1-16. https://doi.org/10.1080/03772063.2022.2027823

6. Meenpal, A. and Majumder, S., 2022. Image content based secure reversible data hiding scheme using block scrambling and integer wavelet transform. Sādhanā47(2), pp.1-17. https://doi.org/10.1007/s12046-022-01828-z

7. Meenpal, A., Majumder, S. and Oruganti, M., 2022. Pixel value splitting based reversible data embedding scheme. Multimedia Tools and Applications, vol. 81, pp. 40535–40560https://doi.org/10.1007/s11042-022-13031-7

8. Giri, M.K. and Majumder, S., 2022. Deep Q-learning based optimal resource allocation method for energy harvested cognitive radio networks. Physical Communication, vo. 53, p.101766. https://doi.org/10.1016/j.phycom.2022.101766

9. Giri, M.K. and Majumder, S., 2023. Extreme Learning Machine Based Identification of Malicious Users for Secure Cooperative Spectrum Sensing in Cognitive Radio Networks. Wireless Personal Communications, March 2023. https://doi.org/10.1007/s11277-023-10368-6

10. Majumder, S., 2022. A variational Bayesian approach to multiantenna spectrum sensing under correlated noise. Digital Signal Processing, vol. 130, p. 103731. https://doi.org/10.1016/j.dsp.2022.103731

11. Giri, M.K. and Majumder, S., 2023. Distributed dynamic spectrum access through multi-agent deep recurrent Q-learning in cognitive radio network. Physical Communication, vol. 58, p.102054. https://doi.org/10.1016/j.phycom.2023.102054

12. Oruganti, M., Meenpal, T. and Majumder, S., 2023. Easy pair selection method for Kinship Verification using fixed age group images. Image and Vision Computing, vol. 136, p.104727. https://doi.org/10.1016/j.imavis.2023.104727

13. Oruganti, M., Meenpal, T. and Majumder, S., 2023. Stationary wavelet transform features for kinship verification in childhood images. Multimedia Tools and Applications, pp.1-26. https://doi.org/10.1007/s11042-023-16694-y

14. Majumder, S., 2023. One-bit spectrum sensing using Gustafson-Kessel fuzzy clustering for cognitive radio network. Physical Communication, vol. 62, p.102239. https://doi.org/10.1016/j.phycom.2023.102239

15. Oruganti, M., Meenpal, T. and Majumder, S., 2024. Kinship verification in childhood images using curvelet transformed features. Computers and Electrical Engineering, vol. 118, p.109375. http://dx.doi.org/10.1016/j.compeleceng.2024.109375

16. Raj, A., Majumder, S. and Mishra, G.P., 2024. Design of a CMOS based ring VCO using particle swarm optimisation. Analog Integrated Circuits and Signal Processing, vo. 119, no.2, pp.309-317. https://doi.org/10.1007/s10470-023-02206-3

Book Chapters:

1. Majumder, S. and Manshahia, M.S., 2022. Optimal Quantizer and Machine Learning–Based Decision Fusion for Cooperative Spectrum Sensing in IoT Cognitive Radio Network. Handbook of Intelligent Computing and Optimization for Sustainable Development, pp.605-636. Wiley Scrivener.

2. Majumder, S., 2021. Adaptive Decision Feedback Equalizer Based on Wavelet Neural Network. In Machine Learning in Signal Processing (pp. 185-212). Chapman and Hall/CRC.

3. Majumder, S., 2021. Wavelet neural networks and equalization of nonlinear satellite communication channel. In Applications of Artificial Neural Networks for Nonlinear Data (pp. 207-226). IGI Global.

4. Majumder, S., 2020. Echo state network based nonlinear channel equalization in wireless communication system. In Applications of Machine Learning (pp. 125-139). Springer, Singapore.

5. Giri, M.K. and Majumder, S., 2023. Eigenvalue clustering for spectrum sensing: throughput and energy evaluation for cognitive radio–Internet of Things network. In Human-Assisted Intelligent Computing: Modeling, simulations and applications (pp. 4-1). Bristol, UK: IOP Publishing.


Recent articles in conferences:

1. Majumder, S. "Energy detection spectrum sensing on RTL-SDR based IoT platform." In 2018 Conference on Information and Communication Technology (CICT), pp. 1-6. IEEE, 2018.

2. Gupta, A., and Majumder, S. "Cognitive radio spectrum classification using FLA-SVM." In 2019 9th Annual Information Technology, Electromechanical Engineering and Microelectronics Conference (IEMECON), pp. 144-149. IEEE, 2019.

3. Majumder, S. and Giri, M. K. "Nonlinear channel equalization using wavelet neural network trained using PSO." In Proceedings of the International Conference on Advances in Electronics, Electrical & Computational Intelligence (ICAEEC). 2019.

4. Giri, M. K. and Majumder, S. "Extreme learning machine based cooperative spectrum sensing in cognitive radio networks." In 2020 7th International Conference on Signal Processing and Integrated Networks (SPIN), pp. 636-641. IEEE, 2020.

5. Meenpal, A., Majumder, S. and Pandey, S. "Digital Image Watermarking technique for tamper detection and restoration." In 2020 First International Conference on Power, Control and Computing Technologies (ICPC2T), pp. 56-61. IEEE, 2020.

6. Meenpal, A., Majumder, S. and Balakrishnan, A. "Digital watermarking technique using dual tree complex wavelet transform." In 2020 First International Conference on Power, Control and Computing Technologies (ICPC2T), pp. 62-67. IEEE, 2020.

7. Ranjan, S., Majumder, S. and Naugarhiya, A. "SEGR hardened superjunction VDMOS with high-K gate dielectrics." In 2020 International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC), pp. 272-275. IEEE, 2020.

8. Chopra, M., and Majumder, S. "Spectrum Sensing Using Frequency Domain Entropy Estimation on RTL-SDR-Based Platform." In Applications of Advanced Computing in Systems, pp. 97-105. Springer, Singapore, 2021.

9. Sahu, J., and Majumder, S. "A Particle Swarm Optimization based Training Algorithm for MCMA Blind Adaptive Equalizer." In 2021 International Conference on Emerging Smart Computing and Informatics (ESCI), pp. 462-465. IEEE, 2021.

10.  Pydi, S. K., and Majumder, S. "Design of Polynomial Function based Blind Equalizer using Particle Swarm Optimization." In 2021 Sixth International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), pp. 48-52. IEEE, 2021.

11.  Oruganti, M., Meenpal, T. and Majumder, S. "Selective variance based kinship verification in parent's childhood and their children." In 2021 National Conference on Communications (NCC), pp. 1-6. IEEE, 2021.

12.  Majumder, S., Giri, M. K., and Adarsh, G. "Extreme Learning Machine based Spectrum Sensing in Coloured Noise with RTL-SDR." In 2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T), pp. 1-5. IEEE, 2022.

13.  Majumder, S., and Tripathi, R. "Deep Convolutional Neural Network-Based Recognition of Profile Rotated Face Images." In 2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS), vol. 1, pp. 673-678. IEEE, 2022.

Other Info.

1. Faculty-in-charge, DSP Laboratory.

2. Convener, Departmental purchase committee (DPC).

3. Coordinator, Departmental laboratory development.

4. Member, Departmental Academic Committee (DAC)