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Dr Chris Bowerman


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Professor of Data Science (Artificial Intelligence)

My research is centred around the areas of Artificial Intelligence (AI) and Machine Learning in Data Science. I lead the research and innovation of AI at the University of Sunderland. 

I am currently working on fraud detection and health data analysis as well as Cybersecurity and AI.

I sit on the steering groups of the North East Satellite Applications Centre of Excellence and the Digital Catapult Centre North East & Tees Valley. I sit on the NE Regional Analytics Group of the Connected Health Cities initiative. I also run an IEEE conference for Digital Forensics.

Teaching and supervision

I teach on the following modules:
  • Artificial Intelligence and Machine Learning and Data Mining
  • Ethical Hacking
  • Digital Forensics 
  • Artificial Intelligence and Cybersecurity
  • Foundations of Data Science

Research interests for potential research students

  • Artificial Intelligence
  • Machine Learning and Data Mining
  • Natural Language
  • Ethical Hacking
  • Digital Forensics
  • Data Science

Publications

Number of items: 30.

Article

Bowerman, Chris and Karamitsos, Ioannis (2013) A Resource Reservation Protocol with Linear Traffic Prediction for OBS Networks. Advances in Optical Technologies, 2013 (425372). ISSN 1687-6393

Ozgul, Fatih, Erdem, Zeki, Bowerman, Chris and Bondy, Julian (2010) Combined detection model for criminal network detection. Lecture Notes in Computer Science, 6122. pp. 1-14. ISSN 0302-9743

Ozgul, Fatih, Erdem, Zeki and Bowerman, Chris (2009) Prediction of unsolved terrorist attacks using group detection algorithms. Lecture Notes in Computer Science, 5477. pp. 25-30. ISSN 0302-9743

Malone, James, McGarry, Kenneth, Wermter, Stefan and Bowerman, Chris (2006) Data mining using rule extraction from Kohonen self-organising maps. Neural Computing & Applications, 15 (1). pp. 9-17. ISSN 0941-0643

McGarry, Kenneth, Malone, James and Bowerman, Chris (2006) Automated Trend Analysis of Proteomics Data Using Intelligent Data Mining Architecture. Expert Systems with Application, 30 (1). pp. 24-33. ISSN 09574174

Bowerman, Chris, Ke, Shih-Wen and Oakes, Michael (2006) PERC: A personal email classifier. Lecture Notes in Computer Science, 3936. pp. 460-463. ISSN 0302-9743

Bowerman, Chris and Armitage, Nicholas (2005) The LOM Approach - A CALL for Concern? Computer Assisted Language Learning, 18 (1-2). pp. 109-118.

Bowerman, Chris (2002) e-Learning: a mildly luddite view. International Journal of Continuing Engineering Education, 13 (5-6). pp. 429-435. ISSN 15604624

Bowerman, Chris and Armitage, Nicholas (2002) Knowledge Pooling in CALL: Programming an Online Language Learning System for Reusability, Maintainability and Extensibility. Computer Assisted Language Learning, 15 (1). pp. 27-53.

Book Section

Clawson, Kathy, Delicato, Louise and Bowerman, Chris (2018) Human Centric Facial Expression Recognition. In: HCI '18: Proceedings of the 32nd International BCS Human Computer Interaction Conference 2018. Proceedings of the BCS Human Computer Interaction Conference (32). ACM, pp. 1-12.

Ozgul, Fatih, Erdem, Zeki and Bowerman, Chris (2009) Two models for semi-supervised terrorist group detection. In: Mathematical Methods in Counter Terrorism. Springer, Wien, pp. 299-249. ISBN 978-3211094419

Malone, J, McGarry, Kenneth and Bowerman, Chris (2004) Using an Adaptive Fuzzy Logic System to Optimise Knowledge Discovery in Proteomics. In: RASC 2004: Proceedings of the 5th International Conference on Recent Advances in Soft Computing. Nottingham Trent University, Nottingham, pp. 80-85. ISBN 978-1842331101

Bokma, Albert, Bowerman, Chris and Graham, Paul (2004) Adaptive Navigation for Mobile Devices. In: Learning with Mobile Devices - Research and Development. LSDA Publishing, pp. 61-67. ISBN 1853388335

Conference or Workshop Item

Yasser, A, M, Clawson, Kathy, Bowerman, Chris and Lévêque, M (2017) Saving Cultural Heritage with Digital Make-Believe: Machine Learning and Digital Techniques to the Rescue. In: British Human Computer Interaction Conference, 3 - 6 Jul 2017, Sunderland University, St Peter's Campus. (In Press)

Stamoulos, M and Bowerman, Chris (2016) Providing better support to students via their Virtual Leaning Environment and exciting content? In: ‘Innovation in Learning and Teaching in Higher Education’, 18 Mar 2018, Northumbria University. (Unpublished)

Özgül, Faith and Bowerman, Chris (2015) Six Types of Terrorist Networks. In: BESC2014, 30 Oct - 2 Nov 2014, China.

Özgül, Faith and Bowerman, Chris (2014) Characteristics of Tenrrorists Networks Based on Ideology and Practices. In: ENIC2014, 29-30 Sep 2014, Wroclaw.

Ozgul, F, Erdem, Z, Bowerman, Chris and Atzenbeck, C (2010) Comparison of Feature- Based Criminal Network Detection Models with k-Core and n-Clique. In: The 2010 International Conference on Advances in Social Networks Analysis and Mining, August 2010, Odense, Denmark.

Bowerman, Chris, Ozgul, Fatih, Erdem, Zeki and Bondy, Julian (2010) Combined detection model for criminal network detection. In: Pacific Asia Workshop on Intelligence and computer Informatics: PAISI, 21 Jun 2010, Hyderabad, India.

Ozgul, Fatih, Erdem, Zeki and Bowerman, Chris (2009) Prediction of past unsolved terrorist attacks. In: IEEE International Conference on Intelligence Security and Informatics (ISI '09), 8-11 Jun 2009, Dallas, USA.

Orhun, Emrah, Bowerman, Chris and Ozturk, Yusuf (2009) International Co-operation in Ambient Computing Education. In: VI International Conference on Engineering and Computer Education (ICECE '09), 8-11 Mar 2009, Buenos Aires, Argentina. (Unpublished)

Bowerman, Chris, Stamoulos, Marios N and Oakes, Michael (2008) Generating topic signatures from a corpus of e-learning content. In: 6th International conference on Practical Applications in Language and Computers: PALC 2007, 19-22 Apr 2007, Lodz University Conference Centre, Poland.

Ozgul, Fatih, Askoy, Hakan and Bowerman, Chris (2008) Theft Gang Discovery Using Co-Offending Knowledge and SNA. In: 12th International Conference on Information Visualisation (IV '08), 9-11 Jul 2008, Washington DC, USA.

Oakes, Michael, Ke, Shih-Wen and Bowerman, Chris (2006) PERC: A Personal Email Classifier. In: Advances in IR: 28th European Conference on Information Retrieval Research, London.

Bowerman, Chris, Ke, George and Oakes, Michael (2006) Periodic incremental learning with enron corpus. In: 29th Annual International ACM SIGIR Conference on Research and Development on Information Retrieval, 6-11 Aug 2006, Seattle, Washington, USA. (Unpublished)

Malone, J, McGarry, Kenneth and Bowerman, Chris (2005) Intelligent hybrid Spatio-temporal mining for knowledge discovery on proteomics data. In: Symposium on Knowledge Representation for Bioinformatics, 15 Jun 2005, Helsinki University of Technology.

Malone, J, Elshaw, Mark, McGarry, Kenneth, Bowerman, Chris and Wermter, Stefan (2005) Spatio-Temporal Neural Data Mining Architecture in Learning Robots. In: International Joint Conference on Neural Networks, 31Jul - 4 Aug 2005, Montreal, Canada.

Malone, James, McGarry, Kenneth and Bowerman, Chris (2004) Performing trend analysis on spatio-temporal proteomics data using differential ratio data mining. In: Proceedings of the 6th EPSRC Conference on Postgraduate Research in Electronics, Photonics, Communications and Software (PREP 2004), 5-7 Apr 2004.

Malone, J, McGarry, Kenneth and Bowerman, Chris (2004) Trend Analysis On Spatio-Temporal Proteomics Data Using Differential Ratio Data Mining. In: Proceedings of the 6th EPSRC Conference on Postgraduate Research in Electronics, Photonics, Communications and Software (PREP 2004), 5-7 Apr 2004, University of Hertfordshire, Hatfield, UK.

Book

Bowerman, Chris (2009) Proceedings of the Fourth Colloquium on International Engineering Education, San Diego State University, 20 May 2009. Research Report, 4 . FernUniversitat in Hagen, Dept Mathematics & Computer Science. ISBN 1865-3944

This list was generated on Fri Jul 10 06:26:12 2020 BST.

Last updated 26 June 2020

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