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Professor Nauman Aslam

Professor

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
  • Coverage-Aware and Reinforcement Learning Using Multi-Agent Approach for HD Map QoS in a Realistic Environment, Redondo, J., Yuan, Z., Aslam, N., Zhang, J. 23 Jul 2024, 2024 11th International Conference on Wireless Networks and Mobile Communications (WINCOM), Piscataway, US, IEEE
  • Cross-layer Adaptable Contention Window for High-definition Map QoS Enhancement, Redondo, J., Yuan, Z., Aslam, N., Zhang, J. 27 May 2024, Proceedings of the 2024 International Wireless Communications and Mobile Computing (IWCMC), New York, IEEE
  • Deep reinforcement learning based Evasion Generative Adversarial Network for botnet detection, Randhawa, R., Aslam, N., Alauthman, M., Khalid, M., Rafiq, H. 1 Jan 2024, In: Future Generation Computer Systems
  • Local Energy Market Design for Power- and Hydrogen-based Microgrids Considering a Hybrid Uncertainty Controlling Approach, Mansour Saatloo, A., Mehrabidavoodabadi, A., Marzband, M., Mirzaei, M., Aslam, N. 1 Jan 2024, In: IEEE Transactions on Sustainable Energy
  • Malware and botnet prevention in smart building IoT devices using blockchain-enabled federated learning, Taylor, C., Issac, B., Aslam, N., Rogage, K., Kelly, G. 24 Jun 2024, International Conference on AI and the Digital Economy (CADE 2024), Stevenage, IET
  • Malware Threats Targeting Cryptocurrency: A Comparative Study, Alauthman, M., Al-Qerem, A., Alkasassbeh, M., Aslam, N., Aldweesh, A. 28 Feb 2024, 2024 2nd International Conference on Cyber Resilience (ICCR), IEEE
  • QoE-Based Assignment of EVs to Charging Stations in Metropolitan Environments, Aljaidi, M., Aslam, N., Kaiwartya, O., Chen, X., Sadiq, A., Kumar, S., Alsarhan, A. 11 Jun 2024, In: IEEE Transactions on Intelligent Vehicles
  • Reinforcement Learning for EV Fleet Smart Charging with On-Site Renewable Energy Sources, Li, H., Dai, X., Goldrick, S., Kotter, R., Aslam, N., Ali, S. 31 Oct 2024, In: Energies
  • A Simulation Environment of Solar-Wind Powered Electric Vehicle Car Park for Reinforcement Learning and Optimization, Li, H., Dai, X., Kotter, R., Aslam, N., Cao, Y. 10 Mar 2023, Proceedings of the 3rd International Symposium on New Energy and Electrical Technology, Singapore, Springer
  • Data-Driven EV Charging Load Forecasting and Smart Charging, Dai, X., Li, H., Olanrewaju, I., Kotter, R., Putrus, G., Aslam, N., Bentley, E., Wang, Y., Marzband, M., Das, R., Van der Hoogt, J., Portvik, S. 2023, In: Transportation Research Procedia

  • Please visit the Pure Research Information Portal for further information
  • COVER - Cooperative and intelligent unmanned aerial vehicles for emergency response applications, Chen, X. (Principal Investigator), Aslam, N. (Co Investigator), European Commission, 01/07/23 - 30/06/27, £63,601.00
  • EVOLVE - Electric vehicles point location optimisation via vehicular communications, Aslam, N. (Principal Investigator), European Commission, 01/01/23 - 31/12/25, £79,286.00

  • Rizwan Hamid Randhawa Evasion-Aware Intelligent Botnet Detection using Artificial Intelligence Start Date: 01/10/2018 End Date: 28/04/2023
  • 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
  • Husnain Rafiq Android Malware Detection using Machine Learning to Mitigate Adversarial Evasion Attacks Start Date: 01/10/2018 End Date: 23/12/2022
  • 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
  • Jeffrey Redondo Sarmiento QoS Enhancement for the Dissemination of Low-latency Collaborative Autonomous Driving in Multi-Service Environment Start Date: 15/12/2023
  • Oghenerekefe Agwae FEASIBILITY OF BATTERY SWAPPING FOR HEAVY (HGVs) VEHICLE OPERATIONS Start Date: 16/06/2023
  • 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
  • Phoebe Barraclough Intelligent Phishing Detection and Protection Scheme for Online Transactions Start Date: 11/07/2014 End Date: 25/03/2015
  • Andrew Raine Improved HVAC Energy Throughput Measuring System Start Date: 18/10/2012 End Date: 03/10/2016
  • 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

  • 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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