51Âþ»­

Dr Qadri Mishael

Job: Lecturer in Data Analytics

Faculty: Computing, Engineering and Media

School/department: School of Computer Science and Informatics

Address: 51Âþ»­, The Gateway, Leicester, LE1 9BH

T: tbc

E: qadri.mishael@dmu.ac.uk

W:

 

Personal profile

With almost two decades in Computer Science as an educator, researcher, and technophile, my enriched journey spans diverse cultures and academic settings, from Jordan and Saudi Arabia to the UK. Experience includes teaching in Jordan, lecturing at Umm Al Qura University, and sharing knowledge at the Arab Open University. Pursuing a PhD at 51Âþ»­, I explored cutting-edge areas like AI, Data Mining, Machine Learning, Fuzzy Logic, Social Media Analysis, and Intention Mining. I've co-authored research papers in reputable journals, contributing to Computer Science knowledge. My broad teaching and research experiences, along with understanding of diverse educational environments, offer a unique perspective in academia.

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 practical for:
  1. Data structures and Algorithms. (Java)
  2. Concurrent and Parallel Algorithms. (Java)
  3. Object Oriented Design. (Java)
  4. Object Oriented Development. (Java)
  5. E-commerce Software Design and Development (C#, Web application, MVC project)
  6. Computer Programming (Scala, Python, Java, C#)
  7. Mathematics for Computing
  • 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

Membership of professional associations and societies

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