性吧电台

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Dr Qadri Mishael

Job: Senior Lecturer in Data Analytics

Faculty: Computing, Engineering and Media

School/department: School of Computer Science and Informatics

Address: 性吧电台, The Gateway, Leicester, LE1 9BH

T: tbc

E: qadri.mishael@dmu.ac.uk

W:

 

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Personal profile

With nearly two decades of international experience across Jordan, Saudi Arabia and the UK, my research and teaching focus on Artificial Intelligence, Data Analytics and Big Data. My PhD at 性吧电台 advanced Intention Mining by integrating AI, sentiment analysis, fuzzy logic and behavioural theory. I lead four undergraduate programmes and design/lead modules across UG and PG levels (Big Data & Machine Learning, Data Mining, Artificial Intelligence, Big Data Applications). I supervise MSc dissertations and PhD research, and collaborate with industry and academic partners to translate data-driven methods into real-world impact.

Research group affiliations

Cyber Technology Institute (CTI)

Publications and outputs

  • Mishael, Q., Ayesh, A., & Yevseyeva, I. (2019). Users intention based onTwitter features using text analytics. In Intelligent Data Engineering andAutomated Learning–IDEAL 2019: 20th International Conference, Manchester,UK, November 14–16, 2019, Proceedings, Part I 20 (pp. 121-128).Springer International Publishing.
  • Mishael, Q., & Ayesh, A. (2020). Investigating classification techniques withfeature selection for intention mining from Twitter feed. arXiv preprintarXiv:2001.10380.

Research interests/expertise

Machine Learning, Intention Mining, Sentiment Analysis, Natural Language Processing, Fuzzy Logic, and Social Network

Areas of teaching

  • Giving lectures, seminars and practicals for:
  1. Data structures and Algorithms. (Java)
  2. Concurrent and Parallel Algorithms. (Java)
  3. Object-Oriented Design and Design. (Java)
  4. E-commerce Software Design and Development (C#, Web application, MVC project)
  5. Computer Programming (Scala, Python, Java, C#)
  6. Mathematics for Computing
  7. Web Applications and Development
  8. Big Data and Machine Learning
  9. Data Mining
  10. Artificial Intelligence
  • Supervision for Final Year Projects (BSc and MSc)

Qualifications

BSc in Computer Science

MSc in Computer Science

PhD in Computer Science

Courses taught

BSc (Hons) Computer Science

BSc (Hons) Software Engineering

BSc (Hons) Artificial Intelligence

BSc (Hons) Applied Computing

BSc (Hons) Business Data Analytics

MSc Data Analytics

Membership of professional associations and societies

Fellow of the Higher Education Academy (FHEA)

Institute of Electrical and Electronics Engineer (IEEE)

Conference attendance

Intelligent Data Engineering and Automated Learning–IDEAL 2019: 20th International Conference, Manchester,UK, November 14–16, 2019