Dr. Mohamed Yasin

Areas of Research Interest
Cyber Security and Digital Forensics
Glimpses of Current Research area

Dr. Mohamed Yasin is an accomplished academic with over 23 years of teaching experience and 12 years of dedicated research in fields such as Wireless Sensor Networks, Big Data, the Internet of Things (IoT), Cyber Security, and Cyber Forensics. His work focuses on creating secure and intelligent network environments, investigating cyberattacks to trace digital evidence, and developing energy-efficient communication in wireless sensor networks. Driven by a passion for solving real-world problems, Dr. Yasin’s research journey began with the challenge of analyzing the ever-growing volumes of data using advanced big data technologies. His current work in cyber forensics plays a crucial role in reducing cyberattacks and safeguarding digital assets.

Journal Publications

1. Mohamed, M. Y. N. (2025). Effective deep convolutional neural network with attention mechanism for Alzheimer disease classification. Frontiers in Radiology. (Accepted for publication on December 17, 2025).
2. Mohamed, M. Y. N. (2025). TinyML with CTGAN based smart industry power load usage prediction with original and synthetic data visualization towards Industry 5.0. Scientific Reports, 15, 41712. https://doi.org/10.1038/s41598-025-25678-x
3. Mohamed, M. Y. N. (2025). Advancement of the ECC algorithm to prevent man-in-the-middle and replay attacks. Procedia Computer Science, 259, 1259–1269. https://doi.org/10.1016/j.procs.2025.04.081
4. Mohamed, M. Y. N. (2024). A novel renewable power generation prediction through enhanced artificial orcas assisted ensemble dilated deep learning network. IEEE Access, 12, 44207–44223.
5. Mohamed, M. Y. N., Basha, M. S. S., & Sujatha, P. (2021). System design of MEB in M-IWD model with heuristic function on WSN. Recent Patents on Engineering, 15(2), 169–186. https://doi.org/10.2174/1872212114999200521100146
6. Mohamed, M. Y. N., Basha, M. S. S., Sujatha, P., Abbas, M., & Balaji, S. B. (2019). Minimum energy broadcasting problem in wireless sensor network: A review. International Journal of Advanced Trends in Computer Science and Engineering, 8(1.2), 80–90.
7. Yasin, N. M., Balaji, N., Sambasivam, G., Basha, M. S. S., & Sujatha, P. (2017). Versatile voice handover mechanism in wireless sensor networks. Journal of Advanced Research in Dynamical and Control Systems, 9(Special Issue 12).
8. Yasin, N. M., & Sujatha, P. (2017). Algorithm formulation of modified IWD model for MEB problem. International Research Journal of Latest Trends in Engineering and Technology, 5(3).
9. Raja, M. C., Yasin, N. M., & Durairajan, M. S. (2012). Survey of tolerant network in mobile communication. International Journal of Computer Science Issues, 9(1)
10. Raja, M. C., Yasin, N. M., & Ponnurajan, P. (2011). A review on ad hoc network security. International Journal of Mathematical and Computational Methods in Science & Technology, 1(6), 86–93.

Conference Papers and Presentations

1. Alam, I., Khan, J., Zafar, A., Sheikh, J. K., Mohamed, M. Y. N., & Choudhary, S. (2026). AI-based detection of telemarketing call intent and fraud using short-duration audio analysis. In Proceedings of the 2026 Second International Conference on Emerging Computational Intelligence (ICECI 2026). IEEE. https://doi.org/10.1109/ICECI69159.2026.11519455
2. Mohamed, M. Y. N. (2025, April 15–17). Artificial intelligence enhanced metaheuristic algorithms for robust cyber attack mitigation in IoT sensor networks [Conference presentation]. 13th World Conference on Information Systems and Technologies (WorldCIST’25), Federal University of Santa Catarina, Florianópolis, Brazil.
3. Mohamed, M. Y. N. (2025, March 3–5). Investigating ethical and innovative approaches in predictive analysis and personalized online shopping recommendations with AI-powered chatbots [Conference presentation]. International Conference for Artificial Intelligence: Applications, Innovation and Ethics, Sultan Qaboos University, Muscat, Oman.
4. Mohamed, M. Y. N. (2024, December 23–24). Progression of ECC algorithm to avoid man-in-the-middle attack and replay attack [Conference presentation]. Sixth International Conference on Futuristic Trends in Networks and Computing Technologies, Graphic Era Hill University, Haldwani, India.
5. Mohamed, M. Y. N. (2024, September 5). A simple feedback form to help students reduce making mistakes in exams [Conference presentation]. 7th International Conference on Teaching and Learning, Sohar University, Sohar, Oman.
6. Mohamed, M. Y. N. (2022, December 19–21). Modeling of artificial intelligence enabled crowd density classification for smart communities [Conference presentation]. 19th IEEE International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI, Kennesaw State University, Atlanta, GA, United States.
7. Mohamed, M. Y. N. (2021, April 3). Intruder detection using machine learning algorithms [Conference paper]. National E-Conference on Emerging Trends in Advanced Computing and Communications (NCETACC’21), Surya Group of Institutions, India.
8. Mohamed, M. Y. N. (2020). Segmentation of nuclei in histopathology images using fully convolutional deep neural architecture. In 2020 International Conference on Computing and Information Technology (ICCIT-1441) (pp. 319–325). IEEE. https://doi.org/10.1109/ICCIT-144147971.2020.9213817
9. Mohamed, M. Y. N. (2018). Bi-directional self-organization technique for enhancing the genetic algorithm. In Proceedings of the 6th International Conference on Information Technology (pp. 251–255). ACM.
10. Mohamed, M. Y. N. (2018, November 2–4). QoS-aware dynamic composition of web services using novel planning-based approach [Conference paper]. 8th International Conference on Research in Engineering, Science and Technology, University of Paris, Paris, France.
11. Mohamed, M. Y. N. (2017, December 27–29). An energy efficient mechanism for data transmission and environment monitoring in rechargeable wireless sensor networks [Conference paper]. International Conference on Information Technology, Nanyang Technological University, Singapore.
12. Mohamed, M. Y. N. (2017). ADSMS: Anomaly detection scheme for mitigating sink hole attack in wireless sensor networks. In Proceedings of the International Conference on Technical Advancements in Computers and Communications (ICTACC 2017). IEEE. https://doi.org/10.1109/ICTACC.2017.47
13. Mohamed, M. Y. N. (2016, February 11). A survey of node deployment and diversification of route in wireless sensor networks [Conference presentation]. National Conference on Information System Trends (NIST), University of Nizwa, Nizwa, Oman.

Rizwan Patan, Mohamed Yasin Noor Mohamed, Advanced Metering Infrastructure System for Large Scale IOT Networks Data Collection by Streaming,” Australian Patent No 2020101173, July 22, 2020.

1. Member of International Association of Engineers (IAENG)
2.  Member of Editorial Board, European Journal of Engineering Science and Technology (EJEST)