Dr Xiaomin Chen

I am a member of the CyberNetwork Systems and Security Research Group (CyberNets) at Northumbria University. My research interests lie at the intersection of computer networks, cyber security, and data privacy. I have rich research experience in applying mathematical, computing, engineering techniques to resolve problems in networked cyber-physical systems, such as protocol design, resource allocation, QoS, optimisation, fairness in wireless LANs, wireless sensor networks, vehicular networks, UAV networks, Internet of Things. On top of the underlying networked systems, I am also interested in practical technologies in enhancing security and privacy of data carried by the cyber-physical systems. My recent work is focused on integrating privacy preserving solutions, such as differential privacy, federated learning, multi-party computation, into Machine Learning pipeline and striking a trade-off theoretically and empirically between data utility and privacy protection, in application domains such as e-commerce, recommender systems, digital health,  intelligent transportation, finance systems and social media.

• Please visit the Pure Research Information Portal for further information
• A Multi-Stage Machine Learning and Fuzzy Approach to Cyber-Hate Detection, Ketsbaia, L., Issac, B., Chen, X., Jacob, S. 2023, In: IEEE Access
• 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
• Topology Design for Data Center Networks Using Deep Reinforcement Learning, Qi, H., Shu, Z., Chen, X. 11 Jan 2023, ICOIN 2023, Piscataway, US, IEEE
• 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
• 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. Jun 2022, 2022 IEEE 95th Vehicular Technology Conference, Piscataway, US, IEEE
• 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
• Evaluation of Cyberbullying using Optimized Multi-Stage ML Framework and NLP, Ketsbaia, L., Issac, B., Chen, X. 11 Dec 2021, Defence and Security Doctoral Symposium 2021
• An Energy Efficient Strategy for Assignment of Electric Vehicles to Charging Stations in Urban Environments, Al Ja'idi, M., Aslam, N., Chen, X., Kaiwartya, O., Khalid, M. Apr 2020, 2020 11th International Conference on Information and Communication Systems (ICICS 2020), Piscataway, IEEE
• Deep Q-Network Based Dynamic Trajectory Design for UAV-Aided Emergency Communications, Wang, L., Wang, K., Pan, C., Chen, X., Aslam, N. Dec 2020, In: Journal of Communications and Information Networks
• Detection of Hate Tweets using Machine Learning and Deep Learning, Ketsbaia, L., Issac, B., Chen, X. Dec 2020, 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), Piscataway, NJ, IEEE

Jeyamohan Neera Preserving individual privacy in ubiquitous e-commerce environments: a utility preserving approach for user-based privacy control Start Date: 01/10/2018 End Date: 19/11/2022

• Mathematics PhD
• Fellow of Higher Education Academy FHEA