Dr Shahadate has completed his PhD in Computer Science from Middlesex University London, UK in 2016. He also holds an MSc in Telecommunications and MBA in Information Management. Shahadate received his first degree in Computer Science and Engineering. His current research interests include AI, Machine Learning, Telecommunications and Network Security, 5G Wireless Communication, IoT based vehicular communication systems. Currently Dr Shahadate working with project funded by the Cancer Research UK (CRUK) and led by the Oxford University Hospital NHS Foundation Trust, with additional collaborators from the University of Oxford, University of Aberdeen and Middlesex University.
PhD in 4G LTE Wireless Communication
MSc in Telecommunication
MBA in Information Management
PG (Cert) in Wireless Communication
BSc (Hons) in Computer Science and Engineering
Learning & Teaching Interests
Research Outputs & Interests
T. Zebin, S. Rezvy, T. Chaussalet, A deep learning approach for the length of stay prediction in clinical settings from medical records, 16th IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology, (Accepted, to be held: July 9-11, 2019 –Siena - Tuscany, Italy).
S. Rezvy, Y. Luo, M. Petridis, A. Lasebae, and T. Zebin, An efficient deep learning model for intrusion classification and prediction in 5G and IoT networks, 53rd Annual Conference on Information Sciences and Systems, Maryland, USA, March 2019.
Shahadate Rezvy, Miltos Petridis, and Aboubaker Lasebae, Intrusion detection and classification with autoencoded deep neural network, , The 11th IEEE International Conference on Information technology and Communication Security, SECITC-2018, Romania, November 08-09, 2018
Shahadate Rezvy and Aboubaker Lasebae, One Cell One User - A Novel Concept to Boost System Performance in Future Cellular Communication Network, Middlesex University Research Students Summer Conference-2015
Shahadate Rezvy, Shahedur Rahman, AboubakerLasebae, and Jonathan Loo, System Capacity Improvement by On Request Channel Allocation in LTE Cellular Network, The 15th IEEE International Conference on a World of Wireless, Mobile and Multimedia Networks (WoWMoM 2014), Sydney, Australia, June 16-19, 2014.
Shahadate Rezvy, Shahedur Rahman, AboubakerLasebae, and Jonathan Loo, Downlink Femtocells-Macrocells ICI Cancellation by On Request Channel Allocation in LTE Network, The 28th IEEE International Conference on Advanced Information Networking and Applications (AINA-2014), Victoria, Canada, May 13-16, 2014.
Shahadate Rezvy, Shahedur Rahman, AboubakerLasebae, and Jonathan Loo, Interference Management in Two Tier Cellular Network, 48th Annual Conference on Information Sciences and Systems (CISS-2014), Princeton University, New Jersey, USA, March 19-21, 2014.
Shahadate Rezvy, Shahedur Rahman, AboubakerLasebae, and Jonathan Loo, On Demand Based Frequency Allocation to Mitigate Interference in Femtocells-Macrocells LTE Cellular Network, Second International Conference on Future Generation Communication Technologies (FGCT- 2013), London, UK, December 12-14, 2013.