Mohsen Eslamnejad

Mohsen Eslamnejad is a Research Fellow at the 5G/6G Innovation Centre (5G/6GIC), Institute for Communication Systems (ICS) at the University of Surrey, UK. He received an MSc degree in Cyber Security from the University of Portsmouth, UK, where he also was a Research Associate in the School of Computing. His research interests include AI, machine learning applications in cybersecurity, federated learning, split learning, and adversarial machine learning.

Mohsen has extensive experience in programming and leading professional teams. As the programming team lead at ASPA, he supports team members with programming tasks by solving challenges, fixing errors, and introducing new methods in machine learning using Python. In this role, he has contributed to several projects at ASPA, including the following:

• SPLIT-IDS: Label Flipping Attack against Split Learning based Intrusion Detection System

• Secure Electric Traction Drives Using Federated Predictor in Connected Vehicles

• Unveiling vulnerabilities in deep learning-based malware detection: Differential privacy driven adversarial attacks.

• Federated Learning Under Attack: Exposing Vulnerabilities through Data Poisoning Attacks in Computer Networks

• Adversarial Deep Botnet Detection: Uncertainty Aware Approaches