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DASA|ICCR|Study in India|QIP

Computer Science And Engineering

Head of Department

Dr. Deepak Kumar
Ph.D(NIT Meghalaya)

E-mail:
hod.cse@nitm.ac.in

Faculty

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Dr. Nurul Amin Choudhury Assistant Professor

PhD, NIT Silchar

nurul.choudhury@nitm.ac.in nurul0400@gmail.com
+91-9573182258
https://sites.google.com/view/nurulaminchoudhury/home?authuser=0

Research Interest

Human Computer Interaction, Deep Learning, eHealthcare, Action Recognition, Feature Engineering, Wearable Sensors

Education Qualification

PhD, NIT Silchar

Publications - Journal

  1. 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 April1, 2025, doi: 10.1109/JSEN.2025.3540903. – [IF – 4.3] – SCIE
  2. N. A. Choudhury, S. Singh, and B. Soni, "An Efficient Ensemble Framework for Human Gait Recognition Using CNN-LSTM With Extra Tree Classifier and Smartphone Sensors in Real-World Environment," in IEEE Sensors Letters, vol. 8, no. 9, pp. 1-4, Sept. 2024, Art no. 6010504, doi: 10.1109/LSENS.2024.3435719. [IF – 2.8] – ESCI
  3. N. A. Choudhury and B. Soni, "An Adaptive Batch Size-Based-CNN-LSTM Framework for Human Activity Recognition in 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] – SCIE
  4. N. A. Choudhury and B. Soni, "An Efficient and Lightweight Deep Learning Model for Human Activity Recognition on Raw Sensor Data in Uncontrolled Environment," in IEEE Sensors Journal, vol. 23, no. 20, pp. 25579-25586, 15 Oct.15, 2023, doi: 10.1109/JSEN.2023.3312478.  [IF - 4.3] – SCIE
  5. N. A. Choudhury and B. Soni, “In-depth analysis of design & development for sensor-based human activity recognition system” in Springer Multimedia Tools Applications (2024). https://doi.org/10.1007/s11042-023-16423-5 [IF - 3.6] – SCIE
  6. 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 [IF – 2.8] – ESCI
  7. 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] – SCIE

Publication - Book and Book Chapters

N. A. Choudhury and B. Soni, Authored Book Titled – “Human Activity Recognition:  In-Depth Design Analysis with New Tools and Techniques” in Springer Book Series, 2025. – Accepted Authored Book – In Production Phase.

Publications - Conferences

  1. N. A. Choudhury and B. Soni, "HAR-CLET: A Novel Conv-LSTM with Extra Tree Classifier for Human Activity Recognition," TENCON 2024 - 2024 IEEE Region 10 Conference (TENCON), Singapore, Singapore, 2024, pp. 903-906, doi: 10.1109/TENCON61640.2024.10902714. - Core Rank - C (Scopus + Web of Science)
  2. N. A. Choudhury, G. Kaushal, and B. Soni, “An effective spatio-temporal feature engineering and classification framework for smartphone sensor-based human activity recognition,” in 6th International Conference on Machine Learning, Image Processing, Network Security, and Data Sciences - MIND, Springer, 2024 – Accepted and Presented - (Scopus)
  3. N. A. Choudhury, B. Soni, and G. Kaushal, “An Efficient Hybrid Deep Learning-based Automatic Feature Engineering and Classification Framework for Smartphone Sensor-based Human Activity Recognition System,” International Conference on Artificial Intelligence, Computing Technologies, Internet of Things (IoT) and Data Analytics (AICTA-2024) – Accepted and Presented (Scopus)
  4. N. A. Choudhury and B. Soni, "An Efficient CNN-LSTM Approach for Smartphone Sensor-Based Human Activity Recognition System," 5th International Conference on Computational Intelligence and Networks (CINE), Bhubaneswar, India, 2022, pp. 01-06, doi: 10.1109/CINE56307.2022.10037495. -2022 (Scopus)
  5. N. A. Choudhury and B. Soni, "Effect of Shallow and Ensemble Learning Models for Human Activity Recognition in Uncontrolled Environment," IEEE 19th India Council International Conference (INDICON), Kochi, India, 2022, pp. 1-6, doi: 10.1109/INDICON56171.2022.10039755. -2022 (Scopus + Web of Science)
  6. R. M. Vamsi, N. Adapa, D. Yelamanchili, N. A. Choudhury, and B. Soni, "An Efficient and Optimized CNN-LSTM Framework for Complex Human Activity Recognition System Using Surface EMG Physiological Sensors and Feature Engineering," 2024 IEEE Students Conference on Engineering and Systems (SCES), Prayagraj, India, 2024, pp. 1-6, doi: 10.1109/SCES61914.2024.10652396. – 2024 (Scopus)
  7. N. A. Choudhury, S. Moulik, and S. Choudhury, "Cloud-based Real-time and Remote Human Activity Recognition System using Wearable Sensors," 2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan), Taoyuan, Taiwan, 2020, pp. 1-2, doi: 10.1109/ICCE-Taiwan49838.2020.9258050. (2nd Position in Best Demo Paper Award). -2020 (Scopus + Web of Science)
  8. S. Singh, N. A. Choudhury and B. Soni, “Gait Recognition Using Activities of Daily Livings and Ensemble Learning Models” In: Mishra, A., Gupta, D., Chetty, G. (eds) Advances in IoT and Security with Computational Intelligence. ICAISA 2023. Lecture Notes in Networks and Systems, vol 755. Springer, Singapore. https://doi.org/10.1007/978-981-99-5085-0_20 - 2023 (Scopus)
  9. B. Deb, N. A. Choudhury and B. Soni, "Effect of Shallow Learning Techniques and Feature Selection for Breast Cancer Detection”, In: Gabbouj, M., Pandey, S.S., Garg, H.K., Hazra, R. (eds) Emerging Electronics and Automation. E2A 2022. Lecture Notes in Electrical Engineering, vol 1088. Springer, Singapore. https://doi.org/10.1007/978-981-99-6855-8_13 - 2023 (Scopus)
  10. A. 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)
  11.  I. 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)
  12. 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)

Datasets

  1. N.A. Choudhury, B. Soni, "Wild-SHARD: Smartphone Sensor-based Human Activity Recognition Dataset in Wild”, IEEE Dataport, doi: https://dx.doi.org/10.21227/dc2h-a428. – 2024
  2. S. Singh, N.A. Choudhury, B. Soni, "Gait-Motion: A Smartphone Sensor-based Gait Recognition Dataset", IEEE Dataport, October 17, 2024, doi:10.21227/maxd-y692 – 2024
  3. N. A. Choudhury, S. Moulik, D.S. Roy. (2021). HARSense: Statistical Human Activity Recognition Dataset. IEEE Dataport. https://dx.doi.org/10.21227/9pt3-2m34 . 202