About Me
Nurul Amin Choudhury
Currently pursuing Ph.D. as a Doctoral Research Scholar in the Multimedia and Image Processing Lab, Department of Computer Science and Engineering, National Institute of Technology (NIT) Silchar, Cachar, Assam, INDIA - 788010.
Current Position - Senior Research Fellow (SRF) Since - 08-09- 2023
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."
Ongoing Research Work
PhD Work - Human Activity Recognition (HAR)
Research Outcomes (Journals)-
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]
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, 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]
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]
N. A. Choudhury, B. Soni, S. Moulik, “HAR-DIFS: Data Intensity-based Feature Selection for Wearable Sensor-based Human Activity Recognition System” in Springer Iranian Journal of Science and Technology, Transactions of Electrical Engineering – Under Review Since 30-11-2023.
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 Elsevier Biomedical Signal Processing and Control – Under Review Since 01-11-2023.
S. Singh, N. A. Choudhury, B. Soni, “EGRS: Embracing Inbuilt Smartphone Sensor Fusion and Next-Gen Ensemble Learning for Efficient Gait Recognition System in Uncontrolled Environment” in Springer Multimedia Tools Applications – Under Review Since 01-06-2023.
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.
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.
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-
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, 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-
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 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]
Other Research Works
Disease Prediction using Machine Learning Algorithms
Real-time Visualization of Structures Things
Fall Detection Using Machine learning and Physiological Data
Research Areas
Domains/Areas/Fields/Topics
Artificial Intelligence (AI)
Machine Learning (ML)
Internet of Things (IoT)
AI-IoT in Healthcare
Disease Prediction
Health Monitoring Systems
BioInformatics
Computer Vision
Feature Engineering