Skip navigation

Prof 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
  • A Simulation Environment of Solar-Wind Powered Electric Vehicle Car Park for Reinforcement Learning and Optimization, Li, H., Dai, D., Kotter, R., Aslam, N., Cao, Y. 10 Mar 2023, Proceedings of the 3rd International Symposium on New Energy and Electrical Technology, Singapore, Springer
  • Deep reinforcement learning-based long-range autonomous valet parking for smart cities, Khalid, M., Wang, L., Wang, K., Aslam, N., Pan, C., Cao, Y. 1 Feb 2023, In: Sustainable Cities and Society
  • Enhancing Small Medical Dataset Classification Performance Using GAN: Informatics, Alauthman, M., Al-qerem, A., Sowan, B., Alsarhan, A., Eshtay, M., Aldweesh, A., Aslam, N. 8 Mar 2023, In: Informatics
  • Hierarchical User-Driven Trajectory Planning and Charging Scheduling of Autonomous Electric Vehicles, Mansour Saatloo, A., Mehrabi, A., Marzband, M., Aslam, N. Mar 2023, In: IEEE Transactions on Transportation Electrification
  • Mitigating Malicious Adversaries Evasion Attacks in Industrial Internet of Things, Rafiq, H., Aslam, N., Ahmed, U., Lin, J. 1 Jan 2023, In: IEEE Transactions on Industrial Informatics
  • Private and Utility Enhanced Recommendations with Local Differential Privacy and Gaussian Mixture Model, Neera, J., Chen, X., Aslam, N., Wang, K., Shu, Z. 1 Apr 2023, In: IEEE Transactions on Knowledge and Data Engineering
  • 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
  • AndroMalPack: Enhancing the ML-based Malware Classification by Detection and Removal of Repacked Apps for Android Systems, Rafiq, H., Aslam, N., Aleem, M., Issac, B., Randhawa, R. 14 Nov 2022, In: Scientific Reports
  • 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

  • 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 End Date: 23/12/2022
  • 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 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

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


a sign in front of a crowd
+

Northumbria Open Days

Open Days are a great way for you to get a feel of the University, the city of Newcastle upon Tyne and the course(s) you are interested in.

Research at Northumbria
+

Research at Northumbria

Research is the life blood of a University and at Northumbria University we pride ourselves on research that makes a difference; research that has application and affects people's lives.

NU World
+

Explore NU World

Find out what life here is all about. From studying to socialising, term time to downtime, we’ve got it covered.


Latest News and Features

Psychologists encourage Gateshead households to expand use of innovative heat networks
Jessica Whittle, Theatre and Performance BA (Hons)
Michal Špitálský, Film and TV Production BA (Hons)
Lecturer to support Team GB medical needs at Special Olympics in Berlin
Northumbria appoints leading business figures as Visiting Professors
Crime scene
More news
More events

Upcoming events

Grow Your Own – How To Attract, Develop and Retain a Talented Team.
Digital Asset Management – Data Saves Lives (and Money)
Northumbria alumnus John Mark Williams talks Future Readiness

Back to top