Research Work and Publications

Publications                      ReseachGate     Google Scholar

1. Sumit Kumar Das, Mohammad Helal Uddin, Dan O. Popa and Sabur Baidya, Neuro-Adaptive Dynamic Control with Edge-Computing for Collaborative Digital Twin of an Industrial Robotic Manipulator,ieee international conference on robotics and automation (ICRA), May 2023, London, UK. (Accepted & presented).

2. Mohammad Helal Uddin and Sabur Baidya. 2023. Optimizing Neural Network Efficiency with Hybrid Magnitude-Based and Node Pruning for Energy-efficient Computing in IoT. In Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation (IoTDI '23). Association for Computing Machinery, New York, NY, USA, 474–476. (Link)

3. M. H. Uddin, J. M. K. Ara, M. H. Rahman and S. H. Yang, "Neural network pruning: An effective way to reduce the initial network for deep learning based human activity recognition," 2021 International Conference on Electronics, Communications and Information Technology (ICECIT), Khulna, Bangladesh, 2021, pp. 1-4, doi: 10.1109/ICECIT54077.2021.9641226. (Link)

4. Helal Uddin, Mohammad, Mohammad Nahid Hossain, Md Shafiqul Islam, Md Abdullah Al Zubaer, and Sung-Hyun Yang. 2022. "Detecting COVID-19 Status Using Chest X-ray Images and Symptoms Analysis by Own Developed Mathematical Model: A Model Development and Analysis Approach" COVID 2, no. 2: 117-137. https://doi.org/10.3390/covid202000 . (Link)

5. M. H. Uddin, J. M. K. Ara, M. H. Rahman and S. H. Yang, "A Study of Real-Time Physical Activity Recognition from Motion Sensors via Smartphone Using Deep Neural Network," 2021 5th International Conference on Electrical Information and Communication Technology (EICT), Khulna, Bangladesh, 2021, pp. 1-6, doi: 10.1109/EICT54103.2021.9733607. (Link)

6. S. Baidya, S. K. Das, M. H. Uddin, C. Kosek and C. Summers, "Digital Twin in Safety-Critical Robotics Applications: Opportunities and Challenges," 2022 IEEE International Performance, Computing, and Communications Conference (IPCCC), Austin, TX, USA, 2022, pp. 101-107, doi: 10.1109/IPCCC55026.2022.9894313. (Link)

7. Mohammad Nahid Hossain, Mohammad Helal Uddin, K. Thapa, Md Abdullah Al Zubaer, Md Shafiqul Islam, Jiyun Lee, JongSu Park, S.-H. Yang, "Detecting Cognitive Impairment Status Using Keystroke Patterns and Physical Activity Data among the Older Adults: A Machine Learning Approach", Journal of Healthcare Engineering, vol. 2021, Article ID 1302989, 16 pages, 2021. https://doi.org/10.1155/2021/1302989 (Link)

8. Uddin, M.H., Hossain, M.N., Yang, SH. (2021). An ANN-Based Approach to Identify Smart Appliances for Ambient Assisted Living (AAL) in the Smart Space. In: Kaiser, M.S., Bandyopadhyay, A., Mahmud, M., Ray, K. (eds) Proceedings of International Conference on Trends in Computational and Cognitive Engineering. Advances in Intelligent Systems and Computing, vol 1309. Springer, Singapore. https://doi.org/10.1007/978-981-33-4673-4_10 (Link)

9. Uddin, M.H., Hossain, M.N., Ur Rahman, A. (2021). A Routing Protocol for Cancer Cell Detection Using Wireless Nano-sensors Network (WNSN). In: Kaiser, M.S., Bandyopadhyay, A., Mahmud, M., Ray, K. (eds) Proceedings of International Conference on Trends in Computational and Cognitive Engineering. Advances in Intelligent Systems and Computing, vol 1309. Springer, Singapore. https://doi.org/10.1007/978-981-33-4673-4_46 (Link)

10. Das, S.K., Uddin, M.H. and Baidya, S., 2022. Edge-assisted Collaborative Digital Twin for Safety-Critical Robotics in Industrial IoT. arXiv preprint arXiv:2209.12854. (Link)

11. M. H. Uddin, S. Baidya, "A Machine Learning Approach to Predict Human Depression by Monitoring Physical and Social Media Activity utilizing a Hybrid Data Acquisition Method," 2023 IEEE International Performance, Computing, and Communications Conference (IPCCC). (Submitted).