Dr Biju Issac

Associate Professor

School: Computer Science

Dr Biju Issac joined Northumbria as an academic staff in September 2018. He is an Associate Professor (Networks and Cyber Security) and is the Director of the Academic Centre of Excellence in Cyber Security Research (ACE-CSR). He is also the deputy leader of CyberNets (Cybersecurity and Networks) Research Group. He holds funded projects with the Alan Turing Institute, working on AI security projects on 'Synthetic Data detection' for UK Defence and Security, completed a funded project with the Alan Turing Institute, working for NCSC, completed a funded project for Lockheed Martin Space (USA) to create an intelligent vulnerability detection and automation tool, and has completed various other funded projects.

He was the Head of the Subject (Networks and Cyber Security) from 2022 to 2025 and the Programme Leader of BSc (Computer Networks and Cyber Security) and BSc (Computer and Digital Forensics) from 2018 to 2023. He has done PhD in Networking and Mobile Communication, having finished Bachelor of Engineering (BE) in Electronics and Communication Engineering and Master of Computer Applications (MCA) with a first. He is a Chartered Engineer (CEng), Senior IEEE member, Senior Fellow of HEA and EPSRC Associate Peer Review College member.

He founded Northumbria Cyber Clinic in 2018 that works with NEBRC (led by the police), to secure businesses against cyber attacks, where students are appointed to work as part-time ethical hackers. He currently teaches Cisco CCNA modules covering Networking, Switching, Routing and Security. He has won the ‘Innovator of the Year’ award in Dynamites 2020, organised by Dynamo North East and was shortlisted as a finalist in ‘Excellence in Cybersecurity’ for E&T Innovation Awards 2020, organised by IET, UK.

He has worked as a Computer Science academic staff at Teesside University since July 2012 where he was part of the Machine Intelligence research group and taught Network and System Administration modules. Prior to that, he worked as a Computer Science academic staff at an Australian University (Swinburne University of Technology) in Malaysia and at Madras Christian College under Madras University in India. He started his job as a project assistant at the Indian Institute of Science (IISc), Bangalore in India, where he worked on a funded Tomography project. He has authored 100+ publications such as conference papers, journal papers, book chapters and edited books. He is the Editor in Chief (EiC) of the International Journal of Information and Computer Security.

His personal profile: https://www.bijuissac.com/
Northumbria ACE-CSR: https://research.northumbria.ac.uk/ace-csr/
University research profile: https://researchportal.northumbria.ac.uk/en/persons/biju-issac

Campus Address

Room ELB120, Ellison Building
Northumbria University
Newcastle upon Tyne
NE1 8ST

0191 227 3365

Email Biju

Research Themes and Scholarly Interests

His research interests are Networks (wired and wireless), Cyber Security (Malware/Botnets), IoT device communication (smart buildings) and security, Satellite/drone/UAV communication networks and security, Secure routing protocols, Artificial Intelligence or machine learning applications, Android security, Robotics automation/security and Cloud computing optimisations.

Key Publications

Please visit the Pure Research Information Portal for further information
Insider Threat Detection Using GCN and Bi-LSTM with Explicit and Implicit Graph Representations, Yumlembam, R., Issac, B., Jacob, S., Yang, L., Krishnan, D. 22 Dec 2025, In: IEEE Transactions on Artificial Intelligence
Enhancing Decision-Making in Windows PE Malware Classification During Dataset Shifts with Uncertainty Estimation, Yumlembam, R., Issac, B., Jacob, S. 3 Dec 2025, In: Knowledge-Based Systems
Detection of AI generated images using combined uncertainty measures and particle swarm optimised rejection mechanism, Yumlembam, R., Issac, B., Aslam, N., Kollonoor Babu, E., Collyer, J., Kennedy, F. 17 Dec 2025, In: Scientific Reports
A Trustworthy and Untraceable Centralised Payment Protocol for Mobile Payment, Neera, J., Chen, X., Aslam, N., Issac, B. 31 May 2025, In: ACM Transactions on Privacy and Security
Comprehensive Botnet Detection by Mitigating Adversarial Attacks, Navigating the Subtleties of Perturbation Distances and Fortifying Predictions with Conformal Layers, Yumlembam, R., Issac, B., Jacob, S., Yang, L. 1 Nov 2024, In: Information Fusion
IoT-based Android Malware Detection Using Graph Neural Network With Adversarial Defense, Yumlembam, R., Issac, B., Jacob, S., Yang, L. 15 May 2023, In: IEEE Internet of Things Journal

Professional Activity

Please visit the Pure Research Information Portal for further information
Publication Peer-review: Scientific Reports (Journal) 2025
Editorial work: International Journal of Information and Computer Security (Journal) 2020
Publication Peer-review: IET Wireless Sensor Systems (Journal) 2017
Publication Peer-review: IEEE Access (Journal) 2017

PGR Supervision

Henry Kabuye AI-Based Intelligent Multi-stage and User-centric Ransomware Attack Detection Start Date: 01/10/2023
Christopher Taylor How can Federated Learning (FL) and Explainable AI (XAI) be integrated to detect and prevent botnet attacks in BIM-based IoT systems, while addressing challenges of model complexity, data privacy, scalability, and real-time operation? Start Date: 01/10/2023
Aaron Gabriel A Mixture-of-Experts System for Fairer Hate Speech Detection using Synthetic Training Data Start Date: 20/10/2022
Saqib Hussain Forensically Informed Multi-model Machine Learning Framework for Fake News Detection Start Date: 01/10/2024