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Prof Nauman Aslam


Department: Computer and Information Sciences

Nauman Aslam is Professor of Network Systems and Security in the Department of Computer and Information Sciences, Northumbria University, UK. Before joining Northumbria University as a Senior Lecturer in 2011, he worked as an Assistant Professor at Dalhousie University, Canada. He received his PhD in Engineering Mathematics from Dalhousie University, Canada in 2008. Professor Aslam is leading the Cyber Security and Network Systems (CyberNets) research group at Northumbria University. His research interests cover diverse but interconnected areas related to communication networks. His current research efforts are focused at addressing problems related to wireless body area networks and IoT, network security, QoS-aware communication in industrial wireless sensor networks and application of Artificial Intelligence (AI) in communication networks. He has led an Erasmus Mundus Action-2 project titled Sustainable Green Economies through Learning, Innovation, Networking and Knowledge Exchange (gLINK), which is funded by the European Union (worth 3.03 million Euros). He has published over 100 papers in peer-reviewed journals and conference. Professor Aslam is a member of IEEE.

Nauman Aslam

  • Please visit the Pure Research Information Portal for further information
  • A Local Differential Privacy based Hybrid Recommendation Model with BERT and Matrix Factorization, Neera, J., Chen, X., Aslam, N., Issac, B., O'Brien, E. 11 Jul 2022, Proceedings of the 19th International Conference on Security and Cryptography (SECRYPT 2022), Setúbal, Portugal, Scitepress
  • An Enhancement for Image-based Malware Classification Using Machine Learning with Low Dimension Normalized Input Images, Son, T., Lee, C., Le Minh, H., Aslam, N., Dat, V. 1 Sep 2022, In: Journal of Information Security and Applications
  • An Investigation on Fragility of Machine Learning Classifiers in Android Malware Detection, Rafiq, H., Aslam, N., Issac, B., Randhawa, R. 2 May 2022, IEEE INFOCOM 2022, Piscataway, US, IEEE
  • A Reinforcement Learning-based Assignment Scheme for EVs to Charging Stations, Al Ja'idi, M., Aslam, N., Chen, X., Omprakash, ., Al-Gumaei, Y., Khalid, M. 9 Mar 2022, 2022 IEEE 95th Vehicular Technology Conference, Piscataway, US, IEEE
  • Evasion Generative Adversarial Network for Low Data Regimes, Aslam, N., Randhawa, R., Alauthman, M., Rafiq, H. 4 Aug 2022, In: IEEE Transactions on Artificial Intelligence
  • Hierarchical User-Driven Trajectory Planning and Charging Scheduling of Autonomous Electric Vehicles, Mansour Saatloo, A., Mehrabi, A., Marzband, M., Aslam, N. 5 Aug 2022, In: IEEE Transactions on Transportation Electrification
  • Intra WBAN routing using Zipf's law and Intelligent Transmission power switching Approach (ZITA), Roy, M., Chowdhury, C., Ahmed, G., Aslam, N., Chattopadhyay, S., Ul Islam, S. 1 Sep 2022, In: Journal of Ambient Intelligence and Humanized Computing
  • Joint Trajectory and Passive Beamforming Design for Intelligent Reflecting Surface-Aided UAV Communications: A Deep Reinforcement Learning Approach, Wang, L., Wang, K., Pan, C., Aslam, N. 5 Aug 2022, In: IEEE Transactions on Mobile Computing
  • Mitigating Malicious Adversaries Evasion Attacks in Industrial Internet of Things, Rafiq, H., Aslam, N., Ahmed, U., Lin, J. 7 Jul 2022, In: IEEE Transactions on Industrial Informatics
  • Optimizing Power Allocation in LoRaWAN IoT Applications, Al-Gumaei, Y., Aslam, N., Chen, X., Raza, M., Ansari, R. 1 Mar 2022, In: IEEE Internet of Things Journal

  • Phoebe Barraclough Intelligent Phishing Detection and Protection Scheme for Online Transactions Start Date: 11/07/2014 End Date: 25/03/2015
  • Mohammad Alauthman An Efficient Approach to Online Bot Detection Based on a Reinforcement Learning Technique Start Date: 01/04/2012 End Date: 13/06/2016
  • Andrew Raine Improved HVAC Energy Throughput Measuring System Start Date: 18/10/2012 End Date: 03/10/2016
  • Sami Smadi Detection of Online Phishing Email Using Dynamic Evolving Neural Network Based on Reinforcement Learning Start Date: 25/06/2015 End Date: 30/03/2017
  • Husnain Rafiq Android Malware Detection using Machine Learning to Mitigate Adversarial Evasion Attacks Start Date: 01/10/2018
  • Mohammad Al Ja'idi Design and Development of Adaptive EV Charging Management for Urban Traffic Environments Start Date: 01/10/2018 End Date: 27/05/2022
  • Rizwan Hamid Randhawa Evasion-Aware Intelligent Botnet Detection using Artificial Intelligence Start Date: 01/10/2018
  • Stephen Doswell Measurement and Management of the Impact of Mobility on Low-Latency Anonymity Networks Start Date: 09/12/2011 End Date: 03/01/2017

  • Engineering Mathematics PhD June 30 2008
  • Fellow (FHEA) Higher Education Academy (HEA) 2014
  • Information not provided Institute of Electrical & Electronic Engineers (IEEE) 2011

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