About Me
About Me
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Dr. Nurul Amin Choudhury
Current Affiliation - Assistant Professor,
Department of Computer Science and Engineering
National Institute of Technology Meghalaya,
Sohra, Meghalaya, India.
Lab Collaboration- Multimedia and Image Processing Lab, NIT Silchar, INDIA.
Past Position - Assistant Professor, SoCS, UPES, Dehradun, U.K.
Membership - IEEE Young Professional.
Email - nurul.choudhury@nitm.ac.in ; nurul0400@gmail.com
"Do not lose hope nor be sad."
Ongoing Research Work
Recent Published Works
Recent Published Works
N. A. Choudhury and B. Soni, "Smartphone Sensor-Based Human Activity Recognition System (In-Depth Design Analysis with New Tools and Techniques", Transactions on Computer Systems and Networks, ISBN 978-981-95-7206-9, Link - https://link.springer.com/book/10.1007/978-981-95-7206 [2026, Authored Book]
P. Das,S. Kumar, N.A. Choudhury, C. Chettry R. B. Sinha andR. BorahCacl: A novel chemical-ADE co-linker classifier for identifying adverse drug effects from chemical properties" Chemical Papers, 2026, https://doi.org/10.1007/s11696-026-05230-5 - [IF - 2.7]. SCIE
P. Das and N. A. Choudhury, B. Chettry" Advancing Computational Biology: The Role of Artificial Intelligence in Drug Discovery, Genomics, and Proteomics ", in Springer Archives of Computational Methods in Engineering , https://doi.org/10.1007/s11831-026-10634-3 - [IF - 12.1], SCIE.
M. M. Hassan, A. Tahsin, M. G. R. Alam, D. Alzamil, S. Garg, M. Z.Uddin, N.A. Choudhury, and G. Fortino, “Explainable multimodal fusion for breast carcinoma diagnosis: A systematic review, open problems, and future directions,” Computer Methods and Programs in Biomedicine,p. 109152, 2025, doi: https://doi.org/10.1016/j.cmpb.2025.109152. [IF - 4.8] - SCIE
N. A. Choudhury and B. Soni, "KNEE-HAR: A ConvLSTM-Based Lightweight Hybrid Deep-Learning Model for Human Activity Recognition With Knee Abnormalities Using Raw Physiological Sensor Data," in IEEE Sensors Journal, vol. 25, no. 7, pp. 12399-12406, 1 April, 2025, doi: 10.1109/JSEN.2025.3540903. – [IF – 4.3] – SCIE
G. Kaushal, B. Soni and N. A. Choudhury, "A Multi-Scale CNN–GAU Spatio-Temporal Feature Learning Model for Inertial Sensor-Based Fall Detection," 2026 IEEE Guwahati Subsection Conference (GCON), Guwahati, India, 2026, pp. 1-6, doi: 10.1109/GCON69192.2026.11648675. (Scopus)
Top 3 cited works
Top 3 cited works
Journals
N. A. Choudhury and B. Soni, "An Adaptive Batch Size-Based-CNN-LSTM Framework for Human Activity Recognition in an Uncontrolled Environment," in IEEE Transactions on Industrial Informatics, vol. 19, no. 10, pp. 10379-10387, Oct. 2023, doi: 10.1109/TII.2022.3229522. [IF- 12.3]
N. A. Choudhury, S. Moulik and D. S. Roy, "Physique-Based Human Activity Recognition Using Ensemble Learning and Smartphone Sensors," in IEEE Sensors Journal, vol. 21, no. 15, pp. 16852-16860, 1 Aug.1, 2021, doi: 10.1109/JSEN.2021.3077563. [IF - 4.3]
N. A. Choudhury and B. Soni, "Enhanced Complex Human Activity Recognition System: A Proficient Deep Learning Framework Exploiting Physiological Sensors and Feature Learning," in IEEE Sensors Letters, vol. 7, no. 11, pp. 1-4, Nov. 2023, Art no. 6008104, doi: 10.1109/LSENS.2023.3326126. (2023) [IF - 2.8]
Conferences -
S. Rajesh, N. A. Choudhury, and S. Moulik, "Hepatocellular Carcinoma (HCC) Liver Cancer prediction using Machine Learning Algorithms," 2020 IEEE 17th India Council International Conference (INDICON), New Delhi, India, 2020, pp. 1-5, doi: 10.1109/INDICON49873.2020.9342443. – 2020 - (Scopus+ Web of Science)
C. Lyngdoh, N. A. Choudhury and S. Moulik, "Diabetes Disease Prediction Using Machine Learning Algorithms," 2020 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES), Langkawi Island, Malaysia, 2021, pp. 517-521, doi: 10.1109/IECBES48179.2021.9398759. – 2021 (Scopus + Web of Science)
A. Marbaniang, N. A. Choudhury and S. Moulik, "Cardiovascular disease (CVD) Prediction using Machine Learning Algorithms," 2020 IEEE 17th India Council International Conference (INDICON), New Delhi, India, 2020, pp. 1-6, doi: 10.1109/INDICON49873.2020.9342297. – 2020 (Scopus+ Web of Science)
Datasets-
Nurul Amin Choudhury, Badal Soni, "Wild-SHARD: Smartphone Sensor-based Human Activity Recognition Dataset in Wild", IEEE Dataport, doi: https://dx.doi.org/10.21227/dc2h-a428.
N. A. Choudhury, Soumen Moulik and Diptendu Sinha Roy, June 24, 2021, "HARSense: Statistical Human Activity Recognition Dataset", IEEE Dataport, doi: https://dx.doi.org/10.21227/9pt3-2m34.
Research Areas
Domains/Areas/Fields/Topics
Domains/Areas/Fields/Topics
Wearable Sensors
Artificial Intelligence (AI)
Machine Learning (ML)
Internet of Things (IoT)
AI-IoT in Healthcare
Disease Prediction
Health Monitoring Systems
BioInformatics
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