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Faculty Directory Dr. Swati Chowdhuri
Dr. Swati Chowdhuri

Dr. Swati Chowdhuri

Professor

[email protected]
Vidwan Profile Google Scholar

Academic Information

Ph.D., Jadavpur University, 2018

Research Areas

Wireless Communication Signal analysis using AI Computer Vision Brain Computer Interface

Research Interests

Plant disease detection using deep learning part of computer vision application. EEG signal analysis for detecting stress, depression, concentration, emotion. MIMO integration in MANET and less propagation loss route selection

Courses Taught

Analog & Digital Communication, Mobile Communication, Analog Electronics, Digital Electronics, Signal System, DSP

Positions Held

Professor IEM, Kolkata
Assistant Professor, Techno India Batanagar
Assistant Professor, Seacom Enginnering College

Publications

Journal Papers 1. Basu U, Chowdhuri S, al D. DSSC based RF energy harvesting using 2RRS scheme, RRIA, 33 (3), 7-16, 2023 https://doi.org/10.33436/v33i3y202301 (2023). (ESCI)

2. Chowdhuri S, Paul T, Chaudhuri S S, “Differential Sequence Analysis of EEG Brain Signals for Emotional and Cognitive Assessment”, Accepted Automatica, 2026. (SCIE)

3. Ghosh S., Rajak A, Chowdhuri S, Neogi B. A data driven framework addressing students’ motivation, regulation and strategic approaches, Scope, 13(4), https://scope-journal.com/assets/uploads/doc/cd150-1401-1414.202317838.pdf, 2023. (SCOPUS)

4. Majumder, S., Bhattacharyya, D. & Chowdhuri, S., ABCD: advanced blockchain DSR algorithm for MANET to mitigate the different security threats. J Wireless Com Network 2025, 8 (2025). https://doi.org/10.1186/s13638-025-02430-7.(SCIE)

5. Chowdhuri S, Saha S, Karmakar S, Chanda A, Real-time classification of EEG Signals using Machine Learning deployment”,Romanian Journal of Information Technology and Automatic Control, 34(4), ICI, 2024. (ESCI)

6. Chowdhuri, S. and Mal, D., 2022. Concentration level detection for left/right brain dominance using electroencephalogram signal. Romanian Journal of Information Technology and Automatic Control, 32(3), pp.109-118. (ESCI)

7. CHOWDHURI, S., BARUI, S., MONDAL, S., MANDAL, S. and NEOGI, B., 2022. Sensing a Physical Object Gripping using Haptic Technology and Machine Learning Algorithms. RRIA, Revista Română de Informatică și Automatică, 32(2). (ESCI)

8. Chowdhuri, S., Chaudhuri, S.S., Banerjee, P., Dey, N., Mandal, A. and Santhil, V., 2018. Secure minimum loss route selection of MIMO-based MANET in combined (indoor, outdoor, and forest) terrain. International Journal of Advanced Intelligence Paradigms, 11(3-4), pp.187-212. (SCOPUS)

9. Bhattacharjee, S., Banerjee, A., Rakshit, A., Bhattacharyya, S., Chowdhuri, S., Sarkar, B. and Neogi, B., 2021. Dynamics of cardiovascular muscle using a non-linear symmetric oscillator. Symmetry, 13(1), p.151. (SCIE)

10. Chowdhuri, S., Banerjee, P. and Chaudhury, S.S., 2018. Fragment-based transmission using minimum power consumed routing (FBTMPCR) algorithm of a MIMO integrated MANET. Turkish Journal of Electrical Engineering and Computer Sciences, 26(1), pp.407-417. (SCIE)

Book & Book Chapter

  1. Pal M, Guerrero J, Siano P, Chowdhuri S, “Innovations in Energy Management and Renewable Resources”, Proceedings of IEMRE 2023, Springer, 2023, ISBN: 978-98-1976-390-0. 
  2. Chakrabarti, S., Bar, A.K., Chowdhuri, S., Jana, D., Chakraborty, N. and Mondal, S. eds., 2023. Renewable Resources and Energy Management: Proceedings of the International Conference on Innovation in Energy Management & Renewable Resources (IEMRE 2022). CRC Press. 
  3. Ahmed S, Chowdhuri S, Jana S, Neogi B, “Research methodology and applied statistics”, JEC Publication (2024), ISBN: 978-81-9727-398-8. 
  4. Swati Chowdhuri, Improvement of Spectral Efficiency of MIMO MANET in Combined Terrain”, Lambert Academic Publishers (2022), ISBN: 978-62-0551-177-0.
  5. Chowdhuri S, Rajak A, Koner R, Neogi B, Advancements in Examination Systems: IP-Based Robo invigilator Technique”, Intelligent Robotic Process Automation: Development, Vulnerability and Applications, IGI Global, 2025. DOI: 10.4018/979-8-3693-4365-4.ch014.
  6. Chowdhuri S, Panja A, Mukherjee A, Machine Learning Approach to Recognition Human Mental State from EEG Signal”, Revolutionizing Healthcare 5.0: The Power of Generative AI, Springer Nature,DOI: https://link.springer.com/book/10.1007/978-3-031-75771-6.
  7. Pradhan, P., Mitra, P., Chowdhuri, S., Neogi, B. and Ghosh, S.S., 2021. Postpandemic EdTech (Educational Technology) on Perspectives of Green Society. In Green Technological Innovation for Sustainable Smart Societies: Post Pandemic Era (pp. 39-66). Cham: Springer International Publishing.                                                                               

Conference papers 

  1. Chowdhuri, S., Banerjee, S., Bhargav, A. and Chaudhuri, S.S., 2023, August. Therapeutic foliage: A balanced dataset designed for automated identification of leaves of common medicinal plants. In 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA) (pp. 362-367). IEEE. (Scopus)
  2. Das, R., Banerjee, S., Chowdhuri, S. and Chaudhuri, S.S., 2023, December. BongFloralpedia: A comprehensive collection of diverse types of flowers growing in Ranaghat, West Bengal. In 2023 7th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech) (pp. 1-6). IEEE. (Scopus)
  3. Banerjee, S., Samanta, B., Chowdhuri, S. and Chaudhuri, S.S., 2023, December. FruityHub: A diverse collection of fruits created for edibility estimation. In 2023 7th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech) (pp. 1-6). IEEE. (Scopus)
  4. Chowdhuri, S., Saha, S., Karmakar, S. and Kumar, S., 2024, May. Detection of students’ comprehension levels using EEG signal. In AIP Conference Proceedings (Vol. 2915, No. 1, p. 020009). AIP Publishing LLC. (Scopus)
  5. T. Paul, S. Das, S. Chowdhuri, A. Chanda, B. Neogi and S. S. Chaudhuri, "NeuroSonic: An Innovative Neuroacoustic Therapy to Enhance Mental Wellness with EEG Brain Signal," 2024 IEEE Calcutta Conference (CALCON), Kolkata, India, 2024, pp. 1-6, doi: 10.1109/CALCON63337.2024.10914300.(Scopus)
  6. T. Paul, S. Chowdhuri and S. S. Chaudhuri, "Low-Cost Portable IoT Based Air Purifying Ventilation System Operated by PPM Value Present in Environment," 2024 IEEE Calcutta Conference (CALCON), Kolkata, India, 2024, pp. 1-6, doi: 10.1109/CALCON63337.2024.10914180. (SCOPUS)
  7. Banerjee S, Pal D, Chowdhuri S, chaudhuri S S, A Journey through Methodological Advancements: Blood Cell Abnormally Detection from Traditional Counts to Advance Deep Learning Strategies”, IEMSC, Springer. (SCOPUS)
  8. R. Das et al., "GreenMedNet: A computationally inexpensive hyperparameter optimised dual attention based insulin leaves categorization approach," 2024 Fifth International Conference on Intelligent Data Science Technologies and Applications (IDSTA), DUBROVNIK, Croatia, 2024, pp. 172-176, doi: 10.1109/IDSTA62194.2024.10747000. (SCOPUS)
  9. Chowdhrui S, Paul T, Chaudhuri S S, A Comprehensive Approach for Enhancing Mental Well-Being through the Application of Restorative Frequencies, 39th Indian Engineering Congress,IEI.
  10. Chowdhuri, S., Bhattacharjee, M., Bhowmick, A., Ghosh, S., Das, S., Garika, N.K., Ghosh, S. and Pyne, A., 2023. Heart Disease Diagnosis Using Machine Learning Algorithms. In Renewable Resources and Energy Management (pp. 403-410). CRC Press.
  11. Chowdhuri, S., Banerjee, S. and Mondal, S., 2022, April. SDinIWTrack: A Novel Database for Training Self-driving Vehicles. In International Conference on Computational Intelligence in Pattern Recognition (pp. 283-295). Singapore: Springer Nature Singapore. (SCOPUS)