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., Mehrez, H., & Ul Hasan, N. (2024). A Reinforcement Learning Based Approach for Efficient Routing in Multi-FPGA Platforms. Sensors, 25 (1). http://doi.org/10.3390/s25010042
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
Kanika, , Singla, J., Kashif Bashir, A., Nam, Y., UI Hasan, N., & Tariq, U. (2022). Handling Class Imbalance in Online Transaction Fraud Detection. Computers, Materials & Continua, 70 (2), 2861-2877. http://doi.org/10.32604/cmc.2022.019990
Bilal, M., Maqsood, M., Yasmin, S., Hasan, N.U., & Rho, S. (2022). A transfer learning-based efficient spatiotemporal human action recognition framework for long and overlapping action classes. The Journal of Supercomputing, 78 (2), 2873-2908. http://doi.org/10.1007/s11227-021-03957-4
Rahim, A., Durrani, M.Y., Gillani, S., Ali, Z., Hasan, N.U., & Kim, M. (2022). An efficient recommender system algorithm using trust data. The Journal of Supercomputing, 78 (3), 3184-3204. http://doi.org/10.1007/s11227-021-03991-2
Aadil, F., Mehmood, B., Ul Hasan, N., Lim, S., Ejaz, S., & Zaman, N. (2021). Remote Health Monitoring Using IoT-Based Smart Wireless Body Area Network. Computers, Materials & Continua, 68 (2), 2499-2513. http://doi.org/10.32604/cmc.2021.014647
Almutiry, O., Ayaz, M., Sadad, T., Ullah Lali, I., Mahmood, A., Ul Hassan, N., & Dhahri, H. (2021). A Novel Framework for Multi-Classification of Guava Disease. Computers, Materials & Continua, 69 (2), 1915-1926. http://doi.org/10.32604/cmc.2021.017702
Ul Hasan, N., Ejaz, W., Zghaibeh, M., Ejaz, N., & Alzahrani, B. (2021). On seamless and high‐bandwidth connectivity for cognitive multi‐unmanned aerial vehicle‐assisted networks. Transactions on Emerging Telecommunications Technologies, 32 (7). http://doi.org/10.1002/ett.3979
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
Farooq, U., Ul Hasan, N., Baig, I., & Shehzad, N. (2019). Efficient adaptive framework for securing the Internet of Things devices. EURASIP Journal on Wireless Communications and Networking, 2019 (1). http://doi.org/10.1186/s13638-019-1531-0
Ul Hasan, N., Ejaz, W., & Anpalagan, A. (2019). Distributed energy‐efficient channel assignment in cognitive mesh network for IoT systems. Transactions on Emerging Telecommunications Technologies, 30 (10). http://doi.org/10.1002/ett.3607
Qureshi, Z., Shah, P.A., ul Hasan, N., Yasmin, S., Aadil, F., Khan, M.F., ... Shehzad, S.F. (2019). Fuzzy Logic‐based Efficient Interest Forwarding (FLEIF) in Named Data Networking. Transactions on Emerging Telecommunications Technologies, 30 (9). http://doi.org/10.1002/ett.3577
Zghaibeh, M., & Hassan, N.U. (2018). d-SHAM: A Constant Degree-Scalable Homogeneous Addressing Mechanism for Structured P2P Networks. IEEE Access, 6, 12483-12492. http://doi.org/10.1109/access.2018.2801259
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
Zghaibeh, M., & Ul Hassan, N. (2017). SHAM: Scalable Homogeneous Addressing Mechanism for structured P2P networks. EURASIP Journal on Wireless Communications and Networking, 2017 (1). http://doi.org/10.1186/s13638-017-0942-z
ul Hasan, N., Ejaz, W., Atiq, M.K., & Kim, H.S. (2017). Energy‐efficient error coding and transmission for cognitive wireless body area network. International Journal of Communication Systems, 30 (7). http://doi.org/10.1002/dac.2985
Hasan, N.U., Ejaz, W., & Kim, H.S. (2017). Frame size selection in CSMA‐based cognitive radio wireless local area networks. Transactions on Emerging Telecommunications Technologies, 28 (1). http://doi.org/10.1002/ett.2904
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
Ejaz, W., Shah, G.A., Hasan, N.U., & Kim, H.S. (2015). Energy and throughput efficient cooperative spectrum sensing in cognitive radio sensor networks. Transactions on Emerging Telecommunications Technologies, 26 (7), 1019-1030. http://doi.org/10.1002/ett.2803
Atiq, M.K., Manzoor, K., Kim, S., Hasan, N.U., & Kim, H.S. (2014). A reliable energy-balancing multi-group (REM) routing protocol for firefighter communication networks. EURASIP Journal on Wireless Communications and Networking, 2014 (1). http://doi.org/10.1186/1687-1499-2014-66
Ejaz, W., ul Hasan, N., Lee, S., & Kim, H.S. (2013). I3S: Intelligent spectrum sensing scheme for cognitive radio networks. EURASIP Journal on Wireless Communications and Networking, 2013 (1). http://doi.org/10.1186/1687-1499-2013-26
ul Hasan, N., Ejaz, W., Manzoor, K., & Kim, H.S. (2013). GSM: gateway selection mechanism for strengthening inter-cluster coordination in cognitive radio ad hoc networks. EURASIP Journal on Wireless Communications and Networking, 2013 (1). http://doi.org/10.1186/1687-1499-2013-171
Ejaz, W., ul Hasan, N., & Kim, H.S. (2013). Distributed cooperative spectrum sensing in cognitive radio for ad hoc networks. Computer Communications, 36 (12), 1341-1349. http://doi.org/10.1016/j.comcom.2013.05.002
Ejaz, W., ul Hasan, N., Azam, M.A., & Kim, H.S. (2012). Improved local spectrum sensing for cognitive radio networks. EURASIP Journal on Advances in Signal Processing, 2012 (1). http://doi.org/10.1186/1687-6180-2012-242
Hasan, N.U., Ejaz, W., Lee, S., & Kim, H.S. (2012). Knapsack-based energy-efficient node selection scheme for cooperative spectrum sensing in cognitive radio sensor networks. IET Communications, 6 (17), 2998-3005. http://doi.org/10.1049/iet-com.2011.0601
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
Hasan, N., Ejaz, N., Ejaz, W., & Kim, H. (n.d.). Meat and Fish Freshness Inspection System Based on Odor Sensing. Sensors, 12 (11), 15542-15557. http://doi.org/10.3390/s121115542
Aslam, S., Hasan, N., Jang, J., & Lee, K.-.G. (n.d.). Optimized Energy Harvesting, Cluster-Head Selection and Channel Allocation for IoTs in Smart Cities. Sensors, 16 (12), 2046. http://doi.org/10.3390/s16122046
Aslam, S., Hasan, N., Shahid, A., Jang, J., & Lee, K.-.G. (n.d.). Device Centric Throughput and QoS Optimization for IoTsin a Smart Building Using CRN-Techniques. Sensors, 16 (10), 1647. http://doi.org/10.3390/s16101647
Hasan, N.U., Valsalan, P., Farooq, U., & Baig, I. (n.d.). On the Recovery of Terrestrial Wireless Network using Cognitive UAVs in the Disaster Area. International Journal of Advanced Computer Science and Applications, 11 (4). http://doi.org/10.14569/ijacsa.2020.01104106
Baig, I., Farooq, U., Hasan, N.U., Zghaibeh, M., & Jeoti, V. (n.d.). A Multi-Carrier Waveform Design for 5G and beyond Communication Systems. Mathematics, 8 (9), 1466. http://doi.org/10.3390/math8091466
Ejaz, W., Shah, G., Hasan, N., & Kim, H. (n.d.). Optimal Entropy-Based Cooperative Spectrum Sensing for Maritime Cognitive Radio Networks. Entropy, 15 (11), 4993-5011. http://doi.org/10.3390/e15114993
Ul Hasan, N., Ejaz, W., Atiq, M., & Kim, H. (n.d.). Recursive Pyramid Algorithm-Based Discrete Wavelet Transform for Reactive Power Measurement in Smart Meters. Energies, 6 (9), 4721-4738. http://doi.org/10.3390/en6094721
(n.d.). Unleashing the Potential: The Joint of 5G and 6G Technologies in Enabling Advanced IoT Communication and Sensing Systems: A Comprehensive Review and Future Prospects. Journal of Communications, 19 (11). http://doi.org/10.12720/jcm.19.11.523-535
Valsalan, P., Hasan, N.U., Baig, I., & Zghaibeh, M. (n.d.). Remote Healthcare Monitoring using Expert System. International Journal of Advanced Computer Science and Applications, 13 (3). http://doi.org/10.14569/ijacsa.2022.0130370
Conference papers
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. In 4th International Symposium on Sensing and Instrumentation in IoT Era, Azores, Portugal, 29 August 2024 - 30 August 2024. IEEE: http://doi.org/10.1109/ISSI63632.2024.10720491
Barhoumi, E.M., Zghaibeh, M., Okonkwo, P.C., Hasan, N.U., Farhani, S., & Bacha, F. (2022). Energy Management System for Photovoltaic-Battery-Fuel Cell using Arduino Board and Matlab Simulink. 2022 IEEE Delhi Section Conference (DELCON), 1-6. http://doi.org/10.1109/delcon54057.2022.9753625
Farooq, U., Ul Hasan, N., Baig, I., & Zghaibeh, M. (2021). Efficient FPGA Routing using Reinforcement Learning. 2021 12th International Conference on Information and Communication Systems (ICICS), 106-111. http://doi.org/10.1109/icics52457.2021.9464626
Baig, I., Farooq, U., Hasan, N.U., Zghaibeh, M., Arshad, M.A., & Imran, M. (2020). A Joint SLM and Precoding Based PAPR Reduction Scheme for 5G UFMC Cellular Networks. 2020 International Conference on Computing and Information Technology (ICCIT-1441), 30-33. http://doi.org/10.1109/iccit-144147971.2020.9213778
Baig, I., Farooq, U., Hasan, N.U., Zghaibeh, M., Rana, U.M., & Sajid, A. (2020). A Precoding Based Power Domain UFMC Waveform for 5G Multi-Access Edge Computing. 2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC), 34-37. http://doi.org/10.1109/fmec49853.2020.9144955
Hasan, N.U., Ejaz, W., Farooq, U., Baig, I., & Zghaibeh, M. (2019). Adaptive Error Control Framework for a Multihop Cognitive Radio based UAVs for Disaster Management. 2019 IEEE 5th International Conference on Mechatronics System and Robots (ICMSR), 87-91. http://doi.org/10.1109/icmsr.2019.8835473
Hasan, N.U., Zghaibeh, M., Ejaz, W., Shahid, A., & Anpalagan, A. (2019). On Provision of Resilient Connectivity in Cognitive Unmanned Aerial Vehicles. 2019 IEEE International Conference on Communications Workshops (ICC Workshops), 1-6. http://doi.org/10.1109/iccw.2019.8756672
Baig, I., Farooq, U., Hasan, N.U., Zghaibeh, M., Jeoti, V., & Imran, M. (2019). A Low PAPR Universal Filtered Multi-Carrier System for 5G Machine Type Communications. 2019 Wireless Days (WD), 1-4. http://doi.org/10.1109/wd.2019.8734188
Baig, I., Farooq, U., Hasan, N.U., Zghaibeh, M., Sajid, A., & Rana, U.M. (2019). A Low PAPR DHT Precoding Based UFMC Scheme for 5G Communication Systems. 2019 6th International Conference on Control, Decision and Information Technologies (CoDIT), 425-428. http://doi.org/10.1109/codit.2019.8820502
Farooq, U., Ul Hasan, N., & Baig, I. (2019). Securing Internet of Things (IoT) Through an Adaptive Framework. 2019 16th International Multi-Conference on Systems, Signals & Devices (SSD), 387-392. http://doi.org/10.1109/ssd.2019.8893153
Hasan, N.U., Ejaz, W., Shahid, A., Baig, I., & Zghaibeh, M. (2018). Self-organized energy efficient channel assignment for cognitive D2D communication in 5G networks. 2018 5th International Conference on Electrical and Electronic Engineering (ICEEE), 404-407. http://doi.org/10.1109/iceee2.2018.8391371
Zghaibeh, M., & Ul Hassan, N. (2018). d-SHAM: An O(d) Scalable Routing Algorithm. 2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA), 40-46. http://doi.org/10.1109/aina.2018.00019
Baig, I., Farooq, U., Ul Hasan, N., Zghaibeh, M., Rana, U.M., Imran, M., & Ayaz, M. (2018). On the PAPR Reduction: A Novel Filtering Based Hadamard Transform Precoded Uplink MC-NOMA Scheme for 5G Cellular Networks. 2018 1st International Conference on Computer Applications & Information Security (ICCAIS), 1-4. http://doi.org/10.1109/cais.2018.8441999
Baig, I., ul Hasan, N., Zghaibeh, M., Khan, I.U., & Saand, A.S. (2017). A DST precoding based uplink NOMA scheme for PAPR reduction in 5G wireless network. 2017 7th International Conference on Modeling, Simulation, and Applied Optimization (ICMSAO), 1-4. http://doi.org/10.1109/icmsao.2017.7934861
Qureshi, S., Ahmad, S., Ikram, A.A., & ul Hasan, N. (2016). Joint energy and throughput based multichannel assignment in cognitive radio sensor network. 2016 IEEE 3rd International Symposium on Telecommunication Technologies (ISTT), 65-69. http://doi.org/10.1109/istt.2016.7918086
ul Hasan, N., Ejaz, W., Baig, I., Zghaibeh, M., & Anpalagan, A. (2016). QoS-aware channel assignment for IoT-enabled smart building in 5G systems. 2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN), 924-928. http://doi.org/10.1109/icufn.2016.7536931
ul Hasan, N., Ejaz, W., Atiq, M.K., & Kim, H.S. (2013). Distributed connectivity restoration using cognitive relay nodes positioning in damaged wireless sensor network. 2013 IEEE Symposium on Wireless Technology & Applications (ISWTA), 159-162. http://doi.org/10.1109/iswta.2013.6688760
ul Hasan, N., Ejaz, N., Ejaz, W., & Kim, H.S. (2012). Malicious odor item identification using an electronic nose based on support vector machine classification. The 1st IEEE Global Conference on Consumer Electronics 2012, 399-400. http://doi.org/10.1109/gcce.2012.6379638
Ejaz, W., Hasan, N.U., & Kim, H.S. (2012). iDetection: Intelligent Primary User Detection for Cognitive Radio Networks. 2012 Sixth International Conference on Next Generation Mobile Applications, Services and Technologies, 153-157. http://doi.org/10.1109/ngmast.2012.38
Manzoor, K., Ejaz, W., ul Hasan, N., Arif, M., Seok Lee, , & Hyung Seok Kim, (2012). Air embolism protecting system for safe intravenous therapy. 2012 IEEE Symposium on Humanities, Science and Engineering Research, 1077-1081. http://doi.org/10.1109/shuser.2012.6268786
Hasan, N.U., Ejaz, W., Kim, H.S., & Kim, J.H. (2011). Particle Swarm Optimization Based Methodology for Solving Network Selection Problem in Cognitive Radio Networks. 2011 Frontiers of Information Technology, 230-234. http://doi.org/10.1109/fit.2011.49
Ejaz, W., Hasan, N.U., Kim, H.S., & Azam, M.A. (2011). Fully Distributed Cooperative Spectrum Sensing for Cognitive Radio Ad Hoc Networks. 2011 Frontiers of Information Technology, 9-13. http://doi.org/10.1109/fit.2011.10
Ejaz, W., Hasan, N.U., Aslam, S., & Kim, H.S. (2011). Fuzzy Logic Based Spectrum Sensing for Cognitive Radio Networks. 2011 Fifth International Conference on Next Generation Mobile Applications, Services and Technologies, 185-189. http://doi.org/10.1109/ngmast.2011.41