Rahim Taheri

Accepting PhD Students

PhD projects

1- Sustainable and Robust Federated Learning for Cyber Threats Detection in 5G Networks
2- Split Learning for Malware Detection
3- PhD proposals in the following fields:
• Adversarial Machine Learning (Robustness, Uncertainty, Fairness)
• Malware Analysis and Network Intrusion Detection System
• Machine Learning Applications in Network Security (IoT, SDN and 5G Security)
• New Trends in Machine Learning (Federated Learning, Differential privacy, Split Learning)

Personal profile

Biography

Rahim Taheri is a Lecturer in the School of Computing at the University of Portsmouth, United Kingdom. Before joining the school, he was a post-doctoral research associate with King’s Communications, Learning and Information Processing (kclip) lab at King’s College London.

Rahim Taheri received the B.Sc. degree in Computer Engineering in 2007, and the M.Sc. degree and the Ph.D. degree in Information Technology-Computer Networks in 2015 and 2020, respectively. In 2018, he was a visiting Ph.D. student with the SPRITZ Security and Privacy Research Group, University of Padua, Italy.

Rahim has several peer-reviewed publications published in prestigious journals such as IEEE TII, IEEE IoT, FGCS Elsevier, ACM TOMM, and NCAA Springer. He is an IEEE Member, and an ACM Professional Member.

Research Interests

Rahim Taheri's research interests are at the intersection of security, privacy, and machine learning. His main research interests can be itemized as:

  • Malware Analysis
  • Intrusion Detection Systems
  • Adversarial Machine Learning
  • Applied Machine Learning
  • Network Security
  • Federated and Split Learning 
  • Differential Privacy

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 7 - Affordable and Clean Energy

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