• University of Huddersfield
    Queensgate
    Huddersfield
    HD1 3DH

    United Kingdom

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20172024

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10 from 768 citations 

Last updated 17th April 2024

Biography

Dr Saad Khan is a Senior Lecturer at Cyber Security in the Department of Computer Science, School of Computing and Engineering, University of Huddersfield. He completed his PhD in late 2019. He has previously worked in both industry and academia as a security researcher. He is a Fellow of the Higher Education Academy. He has taught on several under- and post-graduate modules at the University of Huddersfield. He is currently the main supervisor for 2 PhD students.

Dr Khan's research interest is in developing intelligent systems for cyber security and digital forensics. This involves various research areas such as Security Information and Event Management (SIEM), access control and authentication, vulnerability assessment, anomaly detection, and image forensics. His research is determined to address the shortage of security expertise and knowledge by developing automated software tools that are capable of keeping the digital infrastructure secure against modern malicious attacks.

Dr Khan is a frequent reviewer for various Journals and Conferences and is part of programme and organising committees. He has also been part of a team that secured 3 government funded projects (Innovate UK, DCMS, and DASA) to perform commercial research and development.

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 3 - Good Health and Well-being
  • SDG 4 - Quality Education
  • SDG 7 - Affordable and Clean Energy
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 11 - Sustainable Cities and Communities
  • SDG 16 - Peace, Justice and Strong Institutions

Research Expertise and Interests

  • Cyber Security
  • Artificial Intellegence
  • Machine Learning
  • Access Control
  • Biometrics
  • Authentication

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