About Me

Dr. Nurul Amin Choudhury

PhD - NIT Silchar

Affiliation - Assistant Professor UPES

Lab Affiliation - Multimedia and Image Processing Lab, National Institute of Technology (NIT) Silchar, Cachar, Assam, INDIA - 788010.

PastPosition - Senior Research Fellow (SRF) 08-09- 2023 - 18-12-2024.

Past Position - Junior Research Fellow (JRF) 01-08-2021 To 07-09-2023.

Membership - Graduate Student Member, IEEE, and IEEE Young Professional.

Email - nurul0400@gmail.com ; nurul21_rs@cse.nits.ac.in ; nurul_amin_chy@ieee.org

"Do not lose hope nor be sad."

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Multimedia and Image Processing (MIP) Laboratory

Ongoing Research Work

PhD Work - Human Activity Recognition (HAR)

Research Outcomes (Journals)-

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]
2. N. A. Choudhury, S. Singh, 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]
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]
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. (2023) [IF - 4.3]
5. N. A. Choudhury, B. Soni, "In-depth analysis of design & development for sensor-based human activity recognition system" in Springer Multimedia Tools Applications (2023). https://doi.org/10.1007/s11042-023-16423-5 . (2023) [IF - 3.6]
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. (2023) [IF - 2.8]
7. N. A. Choudhury, B. Soni and S. Moulik, “A Novel Hybrid Deep Learning Model with Intensity-Based Feature Selection for Improved Human Activity Recognition” in IEEE Transactions on Consumer Electronics – Minor Revision Submitted on 01-02-2025.
8. N. A. Choudhury and B. Soni, “Towards Optimal Data Acquisition and an Expert Hybrid Deep Learning Model for Sensor-based Human Activity Recognition in Ubiquitous Environment” in Elsevier Knowledge-based Systems – Under Review Since 01-02-2024.

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
2. N. A. Choudhury and B. Soni, "An Efficient CNN-LSTM Approach for Smartphone Sensor-Based Human Activity Recognition System," 2022 5th International Conference on Computational Intelligence and Networks (IEEE - CINE), Bhubaneswar, India, 2022, pp. 01-06, doi: 10.1109/CINE56307.2022.10037495.
3. N. A. Choudhury and B. Soni, "Effect of Shallow and Ensemble Learning Models for Human Activity Recognition in Uncontrolled Environment," 2022 IEEE 19th India Council International Conference (IEEE - INDICON), Kochi, India, 2022, pp. 1-6, doi: 10.1109/INDICON56171.2022.10039755.
4. 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.

M.Tech Works-

1. 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]
2. 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 (IEEE -ICCE-Taiwan), 2020, pp. 1-2, doi: 10.1109/ICCE-Taiwan49838.2020.9258050. (2nd position in Best Demo Paper Award).

Datasets-

1. 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.
2. 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.

Recent Published Works

N. A. Choudhury, B. Soni, “KNEE-HAR: A ConvLSTM-based Lightweight Hybrid Deep Learning Model for Human Activity Recognition with Knee Abnormalities using Raw Physiological Sensors Data,” in IEEE Sensors Journal – [IF - 4.3] Accepted
N. A. Choudhury, S. Singh, 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]
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, doi: 10.1109/LSENS.2023.3326126. (2023) [IF - 2.8]
N. A. Choudhury, B. Soni, "In-depth analysis of design & development for sensor-based human activity recognition system" in Springer Multimedia Tools Applications, https://doi.org/10.1007/s11042-023-16423-5 . (2023) [IF - 3.6]
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. (2023) [IF - 4.3]
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]