Skip navigation

Dr Biju Issac

Senior Lecturer

Department: Computer and Information Sciences

Dr Biju Issac joined Northumbria as an academic staff in September 2018. He is the programme leader of BSc (Computer Networks and Cyber Security) and BSc (Computer and Digital Forensics) and is a member of Network Systems and Security (NetSyS) Research Group.

He had worked as a Computer Science academic staff at Teesside University since July 2012 where he was part of the Machine Intelligence research group and had 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 Indian Institute of Science (IISc), Bangalore in India where he worked on a funded Tomography project. He has done PhD in Networking and Mobile Communications, Master of Computer Applications (MCA) with honours and Bachelor of Engineering (BE) in Electronics and Communication Engineering with first class. He has authored many publications as conference papers, journal papers, book chapters and edited books.

His personal profile: https://www.bijuissac.com/

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

Tel: 0191 227 3365
Email Biju

Research Interests

His research interests are in networks (wired and wireless), cybersecurity, machine learning applications of text mining, image processing etc., cloud computing optimizations and technology-enabled learning.


Key Publications/Outputs

  • Shah, S. A. R., & Issac, B. (2018). Performance Comparison of Intrusion Detection Systems and Application of Machine Learning to Snort System, Future Generation Computer Systems, Elsevier, ISSN 0167-739X, Vol. 80, 157-170.
  • Sharma, R. K., Kalita, H. R. & Issac, B. (2018). Are Machine Learning Based Intrusion Detection System Always Secure? An Insight into Tampered Learning, Journal of Intelligent and Fuzzy Systems, IOS Press, ISSN 1064-1246, 17 pages.
  • Shah, S. A. R., Issac, B. & Jacob, S. M. (2018). Intelligent Intrusion Detection System through Combined and Optimized Machine Learning, International Journal of Computational Intelligence and Applications (IJCIA), Imperial College Press (World Scientific Europe), ISSN 1469-0268, 17(2), 17 pages.
  • Richert, V., Issac, B. & Israr, N. (2017). Implementation of a Modified Wireless Sensor Network MAC Protocol for Critical Environments, Wireless Communications and Mobile Computing, Wiley and Hindawi, ISSN 1530-8677, Vol. 2017, 23 pages.
  • Barlaskar, E., Singh, J. Y., & Issac, B. (2016). Energy-Efficient Virtual Machine Placement using Enhanced Firefly Algorithm, Multiagent and Grid Systems, IOS Press, ISSN 1574-1702, 12(3), 167-198.
  • Albayati, M., & Issac, B. (2015). Analysis of Intelligent Classifiers and Enhancing the Detection Accuracy for Intrusion Detection System, International Journal of Computational Intelligence Systems (IJCIS), Atlantis Press, Taylor and Francis, ISSN 1875-6891, 8(5), 841-853.
  • Shahi, A. M., Issac, B. & Modapothala, J. R. (2014). Automatic Analysis of Corporate Sustainability Reports and Intelligent Scoring. International Journal of Computational Intelligence and Applications (IJCIA), Imperial College Press, ISSN 1469-0268, 13(1), 27 pages.
  • Mistry, K., Issac, B., Jacob, S. M., Jasekar J. B. and Zhang, L. (2018, November). Multi-Population Differential Evolution for Retinal Blood Vessel Segmentation, Proceedings of the The 15th International Conference on Control, Automation, Robotics and Vision (ICARCV 2018), Singapore.


Professional Activity

  • He is a Chartered Engineer (CEng), Senior IEEE member and Fellow of Higher Education Academy. He is also a Cisco Certified CCNA instructor, Sun (now Oracle) Certified Java Instructor, Certified Lotus Notes (now IBM Notes) Specialist in Application Development and System Administration, and Certified Lotus Notes (now IBM Notes) Professional.
  • He is in the Technical Program Committee of many international IEEE, ACM or Springer conferences and has editorial responsibilities for the following journals:
    JOURNAL – Issac, B. (2017 onwards). Associate Editor of "IEEE Access - The Multidisciplinary Open Access Journal", IEEE, USA, ISSN: 2169-3536. Impact factor: 3.557
    JOURNAL – Issac, B. (2018 onwards). Associate Editor of "Journal of Systems and Information Technology", Emerald, ISSN 1328-7265
    JOURNAL – Issac, B. (2017 onwards). Member of the Editorial Board of "IET Wireless Sensor Systems", IET, UK, ISSN 2043-6394.
    JOURNAL – Issac, B. (2018 onwards). Member of the Editorial Board of "International Journal of Adaptive and Innovative Systems", Inderscience, ISSN 1740-2115.


Current/Recent Projects

  • Co-Investigator for ‘North East Innovation Observatory Project’ during 2017-2018. Source of funding is North East LEP Grant through Durham University, UK.
  • Principal Investigator for the project, ‘Automatically Detecting Eye Diseases through Retinal Image processing and Machine Learning’ during 2017-2108. Source of funding is Teesside University Grand Challenge Research Fund, UK.
  • Co-Investigator for the project, ‘Smart City Sensing’ during 2017-2108. Source of funding is Teesside University Grand Challenge Research Fund, UK.
  • Co-Investigator for the project, ‘Analyzing Corporate Reports in a Three-Dimensional Perspective using Data Mining and Statistical Approach towards Sustainability Reporting’ during 2009-2010. Source of funding is Swinburne University of Technology Research Grant, Malaysia.
  • Principal Investigator for the project, ‘Robust Spam Detection Filter – Analysis and Implementation on Large Spam Corpus’ during 2008-2009. Source of funding is Swinburne University of Technology Research Grant, Malaysia.
  • Co-Investigator for the project ‘A CSI-based Throughput and QoS Enhancement Scheme for TCP over Cooperative Broadband Wireless Networks’ during 2008-2010. Source of funding is eScience Fund (901-01-09-SF0039), Malaysia.


PGR Supervision

  • Co-Supervising (2018 – till date) the PhD student Mr Husnain Rafiq (along with supervisor Dr Nauman Aslam) for his thesis – “Android Malware Detection using Machine learning Techniques to Mitigate Adversarial Attacks” (tentative title) in the Department of Computer and Information Sciences, Northumbria University, UK
  • Supervised (December 2017 – August 2018), and now Co-Supervising (September 2018 – till date) and being the External advisor for the PhD student Mr Mohammed Faruk Suleiman (along with supervisor Dr Jing Tang) for his thesis – “Intelligent intrusion detection using multi-agent model” (tentative title) in Teesside University, UK
  • Co-Supervising (2014 – till date) the PhD student Ms Bismita Choudhury (along with supervisor Dr Patrick Then) for her thesis – “Computer Aided Diagnosis of Retinal Vein Occlusion using Machine Learning” (tentative title) in Swinburne University of Technology, Malaysia.
  • Co-Supervised (2013 – 2018) the PhD student Mr Mathew Kuruvilla (along with supervisor Dr C. E. Tan) for his thesis – “An Intelligent Wireless Communication Scheme for Remote Telemetry in Forest Terrains using a Multi-Band Network” in University Malaysia Sarawak, Malaysia.
  • Supervised (2011 – 2014) the MSc (by research)/MRes student Mr Amir Mohammed Shahi (along with co-supervisor Dr Jashua Rajesh Modapothala) for his thesis – “Automatic Analysis and Scoring of Corporate Sustainability Reports - A Machine Intelligence Approach” in Swinburne University of Technology, Malaysia. The DOI of thesis: http://hdl.handle.net/1959.3/380961
  • Supervised (2010 – 2013) the MSc (by research)/MRes student Ms Lauretha Rura (along with co-supervisor Prof Manas Haldar) for her thesis – “A Secure Electronic Voting Software Application based on Image Steganography and Cryptography” in Swinburne University of Technology, Malaysia. The DOI of thesis: http://hdl.handle.net/1959.3/379825

Biju Issac

Campus Address

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

0191 227 3365

Qualifications

  • PhD
  • MEng
  • BEng
  • CCNA Cisco Academy Instructor
  • Chartered Engineer
  • Member of IET
  • Senior Member of IEEE

Key Publications

  • Please visit the Pure Research Information Portal for further information
  • A Semi-Supervised Learning Approach for Tackling Twitter Spam Drift, Imam, N., Issac, B., Jacob, S. Jun 2019, In: International Journal of Computational Intelligence and Applications
  • Intrusion Detection and Response System Inspired by the Defense Mechanism of Plants, Sharma, R., Issac, B., Kalita, H. 2019, In: IEEE Access
  • Are machine learning based intrusion detection system always secure? An insight into tampered learning, Sharma, R., Kalita, H., Issac, B. 1 Oct 2018, In: Journal of Intelligent and Fuzzy Systems
  • A Survey on Biometrics and Cancelable Biometrics Systems, Choudhury, B., Then, P., Issac, B., Raman, V., Haldar, M. 25 Jan 2018, In: International Journal of Image and Graphics
  • Developing an innovation ecosystem: Policy, skills and operations, Fernandes, K., Goumagias, N., Shukla, M., Oxley, G., Purvis, K., Cabras, I., Xiong, Y., Seddighi, H., Watson, D., Coleman, P., Matthew, S., Issac, B., Mary Jacob, S. 31 May 2018
  • Enhanced cuckoo search algorithm for virtual machine placement in cloud data centres, Barlaskar, E., Singh, Y., Issac, B. 28 Feb 2018, In: International Journal of Grid and Utility Computing
  • Extended LBP based Facial Expression Recognition System for Adaptive AI Agent Behaviour, Mistry, K., Jasekar, J., Issac, B., Zhang, L. Jul 2018
  • Intelligent Intrusion Detection System Through Combined and Optimized Machine Learning, Shah, S., Issac, B., Jacob, S. 18 Jun 2018, In: International Journal of Computational Intelligence and Applications
  • Multi-Population Differential Evolution for Retinal Blood Vessel Segmentation, Mistry, K., Issac, B., Jacob, S., Jasekar, J., Zhang, L. 20 Dec 2018, 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV), IEEE
  • Performance Comparison of Intrusion Detection Machine Learning Classifiers on Benchmark and New Datasets, Suleiman, M., Issac, B. 30 Oct 2018

Key Publications

  • Please visit the Pure Research Information Portal for further information
  • Multi-Population Differential Evolution for Retinal Blood Vessel Segmentation. Publication Status: Published 2018
  • Performance Comparison of Intrusion Detection Machine Learning Classifiers on Benchmark and New Datasets. Publication Status: Published 2018
  • Are machine learning based intrusion detection system always secure? An insight into tampered learning. Publication Status: Published 2018
  • Extended LBP based Facial Expression Recognition System for Adaptive AI Agent Behaviour. Publication Status: Published 2018
  • Intelligent Intrusion Detection System Through Combined and Optimized Machine Learning. Publication Status: Published 2018
  • Performance comparison of intrusion detection systems and application of machine learning to Snort system. Publication Status: Published 2018
  • Enhanced cuckoo search algorithm for virtual machine placement in cloud data centres. Publication Status: E-pub ahead of print 2018
  • A Survey on Biometrics and Cancelable Biometrics Systems. Publication Status: Published 2018
  • Online voting system based on image steganography and visual cryptography. Publication Status: Published 2017

Qualifications

Philosophy PhD September 03 2018

Research Themes and Scholarly Interests

His research interests are in networks (wired and wireless), cybersecurity, machine learning applications of text mining, image processing etc., cloud computing optimizations and technology enabled learning.

PGR Supervision

  • Lida Ketsbaia Start: 01/10/2019
  • Yousuf Al Kindi Start: 01/10/2019


+

Northumbria Open Days

Open Days are a great way for you to get a feel of the University, the city of Newcastle upon Tyne and the course(s) you are interested in.

Research at Northumbria
+

Research at Northumbria

Research is the life blood of a University and at Northumbria University we pride ourselves on research that makes a difference; research that has application and affects people's lives.

+

Order your prospectus

If you would like to know more about our courses, or life in general as a student at Northumbria, then we can help you.

Latest News and Features

More news
More events

Upcoming events

Kickstart Your Graduate Career
Working in the UK for international students
Psychometric tests - numeracy

Back to top