A-  A  A+  Webmail Screen Reader Intranet CIF Convocation 2026 ERP TEQIP Placements NIRF
DASA  | ICCR  | Study in India  | QIP   | Student-E-Notice  | Admission 2026                          

Contact Information

Follow Us

Departments Computer Science And Engineering Faculty

Dr. Nurul Amin Choudhury

  • Home
  • Journals
  • Auhtored Book
  • Conferences
  • Datasets
  • Patents
  • Courses Taught
  • Student Supervision
  • Admin Works
  • Invited Talks

Dr. Nurul Amin Choudhury

Assistant Professor
nurul.choudhury@nitm.ac.in   
+91 - 70027165564
Qualification : PhD, NIT Silchar
Area of Research : Human Computer Interaction, Deep Learning, eHealthcare, Action Recognition, Feature Engineering, Wearable Sensors, and Federated Learning Specialization : AI-ML for eHealthcare Application, Wearbale Sensors

Vidwan Profile     Personal Website   


View CV

Journals

  1. N.A. Choudhury, P. Das, S.K. Yadav and B. Soni "TriFuseNet: A Noise-Resilient Spatio-Temporal Fusion Framework for Complex Action Recognition Using Physiological Signals" in IEEE Sensrs Letters. [Minor Revision Submitted]
  2. 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
  3. 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.
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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, doi: 10.1109/LSENS.2023.3326126 [IF – 2.8] – ESCI
  11. 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

Authored Books

  1.  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]- Click Here

     

Conferences

  1. A. Upadhaya, A. Sah, N.J. Singh and N.A. Choudhury, "LASER-Net: A Lightweight Attention-guided Separable Convolutional Recurrent Network for Complex Human Activity Recognition" in 4th International Conference on Artificial Intelligence, Computing Technologies, and Internet of Things (AICTA 2026) [Accepted & Presented] - Recieved Best Paper Award for Technical Presentation
  2. 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)
  3. 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)
  4. 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 Modi, C., Verma, G.K., Thenkanidiyoor, V., Brankovic, L. (eds) Machine Learning, Image Processing, Network Security and Data Sciences. MIND 2024. Communications in Computer and Information Science, vol 2736. Springer, Cham. https://doi.org/10.1007/978-3-032-14531-4_46 - (Scopus)
  5. 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", in: Kumar, S., Janghel, R.R., Soni, B., Fiore, U. (eds) Artificial Intelligence for Next Generation Computing, Volume 1. AICTA 2024. Lecture Notes in Networks and Systems, vol 1549. Springer, Singapore. https://doi.org/10.1007/978-981-95-0701-6_30 - (Scopus)
  6. 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)
  7. 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)
  8. 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)
  9. 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. (Recieved 2nd Position in Best Demo Paper Award). -2020 (Scopus + Web of Science)
  10. 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)
  11. 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)
  12. 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)
  13. 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)
  14. 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, "HARSense: Statistical Human Activity Recognition Dataset", IEEE Dataport. https://dx.doi.org/10.21227/9pt3-2m34 . 2021

Patents

1. N. A. Choudhury, B.Soni, S. Moulik, K. Ray, and A. Dahal, "SYSTEM FOR HUMAN ACTIVITY RECOGNITION USING HYBRID DEEP LEARNING-ASSISTED FEATURE ENGINEERING", German Utility Patent, 2026 - Granted, Registration Number:  202026102481.3 , 23-05-2026.

2. B. Narayanapuram, L.Waikhom, K. Ray, M. Das, N. A. Choudhury, "Compact Metasurface-Integrated MIMO Antenna Array Structure for 5G mm Wave Applications", UK Design patent - Granted on 13-05-2026.

PG -

1. Advance Databases.

2. Object-Oriented Paradigms. 

3. Programming with C.

4. Database Management Systems

UG - 

1. Object-Oriented Paradigms in C++.

2. App Design

3. OOPs Using JAVA.

PhD
1

Nisha Patar (Joined 2026)

M.Tech
1 Aditya Singh
2 Shriya Singh
3 S. M. Nasir Alam
4 E. Sai Krishna

Role

Date
Warden 3-Seater Boys Hostel

May 2026 - Present
Routine Co-ordinator CSE

Nov 2025 - Present
Member, Exam Committee, CSE Jan 2025 - Present
Member, Students's Health and Wellbeing July 2025- present
Past data have been removed.......  

 

Invited Talks - 

  1. Expert Session on "Sensor-based Human Activity Recognition" in FDP on Foundations and Applications of Deep Learning and Data Sciences, NIT Raipur (April 20–24, 2026).
  2. Expert Talk on "Wearable Sensors and Their Application (A Machine and Deep Learning Approach)" in Alumni Interaction and Mentorship Program, NIT Meghalaya (March 5, 2026).
  3. Expert Talk on "Wearable Sensors and Their Application in Real-World Environment" in 5-Day Online Workshop on Advances in Generative AI: Applications in Health Care and Climate Science, NIT Jalandhar (February 23–27, 2026).
  4. Expert Hands-on Session on "Sensor-based Human Activity Recognition" in 5-Day Online Workshop on Advances in Generative AI: Applications in Health Care and Climate Science, NIT Jalandhar (February 23–27, 2026).
  5. Expert Talk on "Wearable Sensors and Their Application in Real-World Environment" in 5-Day Self-Sponsored STTP on Machine Intelligence for Health Informatics and Wearable Device Sensor Data Analysis, NIT Silchar (January 27–31, 2026).
  6. Expert Hands-on Session on "Sensor-based Human Activity Recognition" in 5-Day Self-Sponsored STTP on Machine Intelligence for Health Informatics and Wearable Device Sensor Data Analysis, NIT Silchar (January 27–31, 2026)

Main Events Organised - 

  1. 30th Bootcamp on Drone Technology and Related Applications - 11-09-2026 to 15-09-2026 (As a Coordinator)
  2. 24th Bootcamp on Drone Technology and Related Applications - 23-02-2026 to 27-02-2026 (As a Coordinator)