AI and Cybersecurity: Bridging Research and Practice

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Event Overview:

  • Title: AI and Cybersecurity: Bridging Research and Practice
  • Date: Wednesday, November 19th
  • Time: 13:00 – 15:45
  • Location: Online
  • Organised by: IEEE UK and Ireland Computational Intelligence Chapter

Objective:

This workshop will convene experts from academia and industry to discuss advancements in AI applications for cybersecurity and address security and privacy challenges in AI and machine learning systems.

 

Teams link:

Meeting ID: 353 494 876 118 05

 

 



  Date and Time

  Location

  Hosts

  Registration



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  • Contact Event Host
  • hossein.abroshan@aru.ac.uk

  • Starts 08 November 2025 12:00 AM UTC
  • Ends 19 November 2025 12:00 AM UTC
  • No Admission Charge


  Speakers

Topic:

SECURE-AI: SME Education for Cybersecurity and Use of Responsible Emerging AI

 

 

Biography:

Dr Erika Sanchez is a Deputy Head of School at Anglia Ruskin University. Her research interests focus on network security, including Software-Defined Networking, IoT and critical infrastructure. She has a keen interest in enhancing the cyber resilience of SMEs and supporting them in achieving this goal. She has participated in several training programs and projects, delivering advice to SMEs on preparing for the Cyber Essentials certification and understanding the technical requirements for compliance.

Topic:

AI for Threat Detection: From Sensor Anomalies to Network Intrusions

Biography:

Dr Raj Mani Shukla is a Senior Lecturer at Anglia Ruskin University, Cambridge, UK. His research focuses on trustworthy and responsible AI, privacy-preserving machine learning, and the safety and security of AI applications in areas such as the Internet of Things (IoT), Cloud/Edge computing, cybersecurity, healthcare, and smart cities. He has published in venues including IEEE TNSE, Elsevier IoT, and International Journal of Electrical Power & Energy Systems, as well as conferences such as IEEE IECON, IEEE TrustCom, IEEE Big Data, CCNC, and GLOBECOM. He has led the Innovate UK CyberASAP projects—including SIROCCO, ZEPHYR, p-CTI, and OTRAND (Co-Lead)—focused on developing trustworthy and resilient AI systems for cybersecurity.

Dr Shukla serves on IEEE CTSoc Technical Committees for IoT and Smart Cities, and as a Technical Program Committee member for multiple IEEE conferences, including CCNC, ICCE, and the UK-Ukraine Research Twinning Conference. He regularly reviews for journals such as IEEE TII, IEEE TETC, and Computer Networks (Elsevier).

Prior to joining ARU, Dr. Shukla worked as a KTP Associate – Data Scientist at the University of Bristol. He earned his PhD in Computer Science and Engineering from the University of Nevada, Reno, USA, served as a Junior Research Fellow (JRF) at IIT Kanpur, received his M.Tech. from NIT Kurukshetra, and completed his B.Tech. at BIET Jhansi.


Topic:

Special Interest Group on AI for National Research and Education Networks (SIG-AI for NRENs)

Biography:

Dr Daniela Brauner, PhD in Computer Science at PUC-Rio, and Senior Research Engagement Manager at GÉANT, working in the New Services Development area. She is the AI coordinator for the GÉANT Project and chair of the Special Interest Group on AI for NRENs. 

Topic:

Real traffic, real impact: CESNET datasets for robust AI

Biography:

Karel Hynek, a Full PhD at FIT CTU in Prague, and a full-time researcher at CESNET a.l.e., the Czech national research and education network. He is very active in research areas concerning network security, focusing on high-speed network monitoring and ISP-level security protection. The outcomes of his research are network classifiers, detectors and data exporters which are deployed to protect production ISP monitoring infrastructure.

 


Topic:

Security and Privacy Issues of AI and a Solution to Protect AI

Biography:

Dr Hossein Abroshan is a Senior Lecturer; Director of Cyber Security, Networking, and Applications Research Group (CNA); and Director of MSc Cyber Security course at Anglia Ruskin University (ARU). Hossein’s research focus is various cybersecurity and AI areas including adversarial machine learning and applied AI for cyber defence. His recent work includes building AI poisoning-detection pipelines; developing AI-driven ransomware detection for OT; and AI-powered phishing detection using human factors. He has also developed AI and cybersecurity materials for CyBOK (ai4cs.uk and secai.uk). He held cyber security leadership roles in industries, like critical infrastructures, manufacturing, banking, telecom, and maritime, and has been leading/supervising several cybersecurity and AI projects in various sectors. Hossein’s interests include AI security and trustworthy AI, human factors in cyber security, and protection of critical infrastructures.

 





Agenda

Agenda:

  • 13:00 – 13:10: Opening Remarks
    • Prof Hujun Yin, Chair and Dr Hossein Abroshan, Vice-Chair of IEEE UK and Ireland Computational Intelligence Chapter

  • 13:10 – 13:45:
    • AI Cybersecurity for Business Continuity: Future Proofing SMEs in the East of England

Dr Erika Sanchez-Velazquez (ARU), Sandra (MHK Consulting)

  • 13:45 – 14:30:
    • AI for Threat Detection: From Sensor Anomalies to Network Intrusions

Dr Raj Shukla, Anglia Ruskin University

  • 14:30 – 15:00:
    • GÉANT SIG: AI for Enhancing Cybersecurity of European Research and Education

Daniela Brauner, GÉANT

  • 15:00 – 15:30:
    • Security and Privacy Issues of AI and a Solution to Protect AI

Dr Hossein Abroshan

  • 15:30 – 15:45: Closing Remarks

    • Future Directions in AI and Cybersecurity