Dr. Najam Ul Hasan

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Dr Najam Ul Hasan PhD

Senior Lecturer


Summary

Dr. Najam Ul Hasan is currently a Senior Lecturer in the Department of Computing at Sheffield Hallam University. He did his B.Sc. and M.Sc. degrees in Computer Engineering in 2006 and 2008 respectively. He obtained his Ph.D. in Information and Communication Engineering from Sejong University, Republic of Korea, in 2014. His current research interests include the Internet of Things (IoT), Wireless Sensor Networks, 5G and beyond networks, mobile edge computing, artificial intelligence and machine learning.

About

Dr. Najam Ul Hasan is working as a Senior Lecturer in the Department of Computing at Sheffield Hallam University. Prior to this role, Dr. Najam Ul Hasan was an Associate Professor in the Department of Electrical and Computer Engineering at Dhofar University, Salalah, Sultanate of Oman, from September 2020. Before that, he served as an Assistant Professor from September 2015 to August 2020 in the same department at Dhofar University. He has also worked as an EPSRC postdoctoral research fellow in the Department of Computing at Robert Gordon University, UK, a Brain Korea (BK 21+) researcher in the Multidimensional Insight Lab at Yonsei University, South Korea, and as a research assistant in the Micro Network Embedded Systems (MINES) lab at Sejong University.

Dr. Najam received his B.Sc. and M.Sc. degrees in Computer Engineering from the University of Engineering and Technology, Taxila, Pakistan, and the National University of Sciences and Technology, Islamabad, Pakistan. He obtained his Ph.D. degree in Information and Communication Engineering from Sejong University, Republic of Korea, in 2014. Since 2007, he has been working in higher education in full-time academic or researcher positions. Over the years, Dr. Najam has taught various modules in computer and communication engineering, including wireless communication, communication and signal processing, computer networking, and artificial intelligence. In addition to that, he possesses extensive experience in program design, review, quality assurance, and academic management.

Dr. Najam's research experience spans over 13 years, during which he has co-authored about 40 papers in Web of Science indexed journals and more than 25 papers in IEEE international conference proceedings in the field of communication and networking. His publications have been cited more than 1100 times according to Google Scholar, with an h-index of 18. In addition to this, he possesses excellent expertise in writing grant proposals for Internet of Things (IoT) projects in smart cities applications, especially in agriculture and robotics, remote healthcare management, and the use of unmanned aerial vehicles for disaster management. He has successfully secured funding for several of his projects in the past. Furthermore, he also has experience in leading the research committee at the college level. His current research interests include the Internet of Things (IoT), Wireless Sensor Networks, 5G/6G and beyond networks, mobile edge computing, machine learning, and their applications in smart cities. Dr. Najam is also a Senior Member of IEEE and a fellow of Advance HE.

Teaching

School of Computing and Digital Technologies

College of Business, Technology and Engineering

Smart Computing

Modules taught:

Computer Programming

Integrated IOT Systems

Foundations in Computing 1

Publications

Journal articles

Farooq, U., & Ul Hasan, N. (2024). Multi‐objective spectrum assignment in heterogeneous cognitive radio networks for internet of things. International Journal of Communication Systems, 37 (7). http://doi.org/10.1002/dac.5718

Saleh Ahmar, A., Boj del Val, E., A. El Safty, M., AlZahrani, S., & El-Khawaga, H. (2022). Lightweight Key Management Scheme Using Fuzzy Extractor for Wireless Mobile Sensor Network. Computers, Materials & Continua, 71 (1), 1695-1712. http://doi.org/10.32604/cmc.2022.021641

Zghaibeh, M., Farooq, U., Hasan, N.U., & Baig, I. (2020). SHealth: A Blockchain-Based Health System With Smart Contracts Capabilities. IEEE Access, 8, 70030-70043. http://doi.org/10.1109/access.2020.2986789

Ejaz, W., Hasan, N.U., Shah, G.A., Kim, H.S., & Anpalagan, A. (2018). Biologically Inspired Cooperative Spectrum Sensing Scheme for Maritime Cognitive Radio Networks. IEEE Systems Journal, 12 (3), 2141-2151. http://doi.org/10.1109/jsyst.2016.2578260

Ul Hasan, N., Ejaz, W., Ejaz, N., Kim, H.S., Anpalagan, A., & Jo, M. (2016). Network Selection and Channel Allocation for Spectrum Sharing in 5G Heterogeneous Networks. IEEE Access, 4, 980-992. http://doi.org/10.1109/access.2016.2533394

ul Hasan, N., & Tu, W. (2015). On energy‐efficient performance‐guaranteed channel assignment in cognitive radio‐based wireless mesh networks. International Journal of Communication Systems, 28 (17), 2197-2213. http://doi.org/10.1002/dac.3003

Valsalan, P., Hasan, N.U., Farooq, U., Zghaibeh, M., & Baig, I. (n.d.). IoT Based Expert System for Diabetes Diagnosis and Insulin Dosage Calculation. Healthcare, 11 (1), 12. http://doi.org/10.3390/healthcare11010012

Baig, I., Ul Hasan, N., Valsalan, P., & Zghaibeh, M. (n.d.). Energy Efficient Multicast Communication in Cognitive Radio Wireless Mesh Network. Sensors, 22 (15), 5601. http://doi.org/10.3390/s22155601

Presentations

Fernandes, C., Zasada-James, J., Adhikari,, K., Ul Hasan, N., Baldwin, J., & Hirsch, L. (2024). Fog Computing Assisted Anaesthesia Monitoring to Enhance Realtime Surgical Efficiency. Presented at: 4th International Symposium on Sensing and Instrumentation in IoT Era, Azores, Portugal, 2024 http://doi.org/10.1109/ISSI63632.2024.10720491

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