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Daniel Lewis known as D. J. Lewis


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Main Qualifications

  • PhD in Engineering Mathematics (Intelligent Systems) – University of Bristol. Thesis: “Efficient and Meaningful Fuzzy Modelling and Mining of Hierarchical Data Sets” (April 2017).
  • BSc(Hons) in Intelligent Systems & Software Engineering – Oxford Brookes University (Sept 2003 – June 2007). Dissertation: “Adding Semantics to Social Web Tagging Systems”

Other Qualifications/Certifications

  • AccessData FTK Bootcamp (Syntricate) – (Sept 2016)
  • Science of Happiness – BerkeleyX (edX) – (2015).
  • Communication for Collaboration – GW4 Alliance (Universities of Bristol, Bath, Cardiff & Exeter) – (2014).
  • Teaching & Learning in Higher Education (Science & Engineering) – University of Bristol (Oct 2012).


Daniel J. Lewis is a Senior Research Fellow at the University of South Wales, currently associated with the Information Security Research Group (ISRG) in the Faculty of Computing, Engineering and Science (CES). His research interests relate to the applications of Artificial Intelligence, Machine Learning, Data Mining and other forms of Computational Intelligence – particularly on Information Security (inc. Cyber-Security) and Computer Forensics.

Daniel does not describe himself as a typical academic, he has a varied background in both academia and industry; having been a consultant and developer for a number of years, particularly in knowledge-based systems (especially the Semantic Web / Linked Data); and Computational Intelligence (especially Fuzzy Set Theory / Fuzzy Logic) but also having been a researcher and a teaching assistant within the broader topics of Computer Science and Engineering Mathematics.

Events organisation is one of his strong interests, and has founded/organised various “unconferences” and “meetups” in the past. One such “unconference” is the Computational Intelligence Unconference, a free-to-attend event about aspects of machine learning, data mining, artificial intelligence and the impact made to science, society and government. Daniel feels that it is through free/low-cost grassroots events that we can bring together people with differing backgrounds to provide innovative solutions to contemporary and future problems.


Academic Experience

  • January 2017 – Present: ICURe Entrepreneurial Lead (Cyber-Security Cohort 1)
  • April 2016 – Present: Senior Research Fellow, Information Security / Computing, University of South Wales.
  • August 2015 – March 2016: Senior Research Assistant, Information Security / Computing, University of South Wales.
  • September 2013 – October 2015: PhD Researcher, Intelligent Systems / Engineering Mathematics, University of Bristol & British Telecommunications (BT).
  • October 2013 – May 2015: Teaching Assistant (Part-Time) for units on C Programming and Databases
  • 2007-2012: In the professional software and web industry. Various roles, including software developer, web developer, technology consultant and “technology evangelist”. Specialist in Semantic Web and Linked Data. Partly self-employed for some of that time.

Other Experience

  • 2013 – Present: Co-founder, Chair and Chief-Co-organiser of the Computational Intelligence Unconferences (Voluntary position i.e. unpaid).
  • 2013 – Present: Voluntary web developer / webmaster for a number of non-profit organisations (unpaid)


Conference Papers

  • D. J. Lewis and T. Martin, ‘Managing Vagueness with Fuzzy in Hierarchical Big Data’, in Procedia Computer Science. Vol 53. pp 19-28. Elsevier 2015. (Proceedings of the INNS Big Data Conference 2015, San Francisco).
  • D. J. Lewis and T. Martin, ‘The X-mu Approach: In Theory and Practice’, in 2014 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), Montpellier, France, 2014. Published in Springer “Communications in Computer and Information Science” (CCIS) Volume 444, 2014, pp 406-415.
  • D. Lewis and T. Martin, ‘The X-mu fuzzy association rule method’, in 2013 13th UK Workshop on Computational Intelligence (UKCI), Guildford, Surrey, UK, 2013.

European Project Deliverables

  • D.J. Lewis, et al. LOD2 D9.3.2 – Guide and Best Practices Brochure (31st August 2012) – FP7
  • D.J. Lewis, et al. LOD2 D9.4 – Use Case 3: LOD2 for Citizen – (31st August 2012) – FP7

Academic Study

  • PhD Thesis: D.J. Lewis “Efficient and Meaningful Fuzzy Modelling and Mining of Hierarchical Data Sets”. University of Bristol.
  • BSc(Hons) Dissertation: D.J. Lewis, “Adding Semantics to Social Web Tagging Systems”. March 2007, Oxford Brookes University.


  • IEEE (Institute of Electrical and Electronics Engineers) – MEMBER.
    • IEEE CIS (Institute of Electrical and Electronics Engineers – Computational Intelligence Society) – MEMBER.
    • IEEE SMC (Institute of Electrical and Electronics Engineers – Systems, Man and Cybernetics Society) – MEMBER.
    • IEEE Cyber Ethics Ontology Working Group.
  • WCIT (Worshipful Company of Information Technologists), a City of London Livery Company. – JOURNEYMAN MEMBER.
  • Lifeboat Foundation – MEMBER.
    • Lifeboat Foundation AI & Robotics Advisory Board – MEMBER.
    • Lifeboat Foundation Futurists Board – MEMBER.
  • The Industrial Workers of the World (IWW) UK Union Member.
    • IWW-UK Wales General Membership Branch (IWW Cymru Wales GMB).
    • IWW IU620 Education Workers Industry Union.
  • Within the University of South Wales (USW):
    • The Gender Equality Sub Group – MEMBER.
      • The Athena Swan Self-Assessment Team – MEMBER.
    • The HR Excellence in Research Sub Group – MEMBER.


Current Research Interests

  • Commercialisation of academic research
  • European Co-operation, and Horizon 2020 projects.
  • Information Sharing.
  • Security and privacy in Critical Infrastructures.
  • Case-based Reasoning.
  • Definitions and relations of terms within the context of Cyber-Ethics.
  • The limitations of Phishing.
  • Computer Forensics
  • SCADA and Industrial Control Systems (ICS)
  • Security & Forensics of Robotics

Recent & Future Research Interests

  • Fuzzy Set Theory / Fuzzy Logic
  • Other forms of Computational Intelligence: Artificial Neural Networks, Evolutionary Computing / Genetic Algorithms, Swarm Technology
  • Data Mining
  • Data Modelling / Knowledge-based Systems / Knowledge Engineering
    • Semantic Web / Linked Data
    • Expert Systems
    • Ontologies, Taxonomies & “Folksonomies”
  • Belief Modelling:
    • Fuzzy Linguistic Modelling
    • Belief Logics, Doxastic Logic
    • Beliefs-Desires-Intentions
    • Dempster-Shafer
    • Belief Networks
  • Security & Identity Systems (including Public-Key Infrastructure (PKI), OpenID and OAuth), and Information Leakage
  • Intelligent Security Models (including inference engines)
  • Distributed Object Storage

Areas of Expertise

Digital Forensics on Industrial Control Systems, Digital Forensics on Hard drives, Fuzzy Set Theory, Fuzzy Logic, Semantic Web, Linked Data, Ontologies, Data modelling, Data Mining (in particular association rule mining and sequence mining), Web Development, Software Development / Programming, Standardisation, Events Organisation, Security of information objects, Futurism, Transhumanism, Arduino Amateur Robotics, Academia-Industry partnerships.

Programming/Scripting: Python, Java, C, Haskell, Prolog, SQL, SPARQL and many more.
Other: (X)HTML, CSS, XML, RDF, OWL and many more.

Also a keen interest in: belief, logic, intuition, inspiration, religion, spirituality. “Will intelligent agents ever have spirituality?”


I am currently learning the Welsh Language. I know some basic Italian conversation. I am also aware of various words and phrases in French, Spanish, Swedish, Latin and Hebrew.

Contact Me

  • I have an interest in academic-industry links, including knowledge transfer partnerships and collaborative research projects. Feel free to contact me if you are in industry and would like to work with me, and the university, on cutting-edge R&D.
  • I am also looking for further academic project collaborations, and so if you are an academic and are looking for someone to collaborate with then please do get in touch. I’m happy to bounce around ideas, and potentially work on things long term.

Non-professional Life
In my spare time I enjoy discussing topics relating to religion/spirituality, philosophy, psychology and politics. I enjoy learning new things, and challenging my own knowledge and beliefs. I am married, have two cats, and I am vegetarian. I am somewhat of an activist, yet have an introverted personality.
Myers-Briggs: INFP. Enneagram Type 2 with a 3 or 4 wing.



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