Summary
Overview
Work History
Education
Skills
Languages
Timeline
publications
Generic

Khadiga Seddik

BERGEN

Summary

Dynamic Doctoral Research Fellow at the University of Bergen, skilled in artificial intelligence, machine learning and advanced data analysis. Proven track record in interdisciplinary research, enhancing information diversity through innovative AI-driven news platforms.

Overview

16
16
years of professional experience

Work History

Doctoral Research Fellow

University of Bergen
Bergen, Norway
06.2022 - Current
  • Conduct interdisciplinary research at the intersection of news recommender systems, media study, and democratic theory.
  • Design and run large-scale online experiments to investigate how design AI and news recommender systems influence selective exposure and information diversity.
  • Develop and prototype interactive news platforms for experimental studies, incorporating large language models and artificial intelligence.
  • Analyze behavioral and survey data using statistical and computational methods.
  • Collaborate with journalists, computer scientists, and social scientists.
  • Disseminate research findings through peer-reviewed publications, conference presentations, and public outreach activities.

University Lecturer

MSA University
Cairo, Egypt
09.2014 - 02.2018
  • Preparing and delivering lectures, tutorials, workshops, and seminars.
  • Setting and grading assignments, tests, and exams.
  • Conduct research and help students in writing scholarly papers.
  • Implemented active learning strategies such as group projects and case studies.
  • Collaborated with faculty members to develop innovative course materials.
  • Actively participated in departmental meetings, collaborating with colleagues to identify and address areas for improvement in the curriculum and student support services.

R&D Engineer

Taya IT
Cairo, Egypt
04.2012 - 02.2014
  • Implement and maintain desktop and web application projects such as search engine, content-based recommendation systems, named-entity-recognition, and web crawling for both Arabic and English content.
  • Investigating the state of the art of researches in Natural language processing and Computational linguistics field.

Mobile Application Developer

Tawasolit
Cairo, Egypt
10.2011 - 03.2012
  • Develop mobile applications, design, code applications, fix bugs, search, valuate and identify new technologies for implementation.
  • Create projects and tasks on the projects tracking tools.
  • Working with Continues Integration Systems and Tools .

Teaching Assistant

MSA University
Cairo, Egypt
09.2009 - 10.2011
  • Teach Computer Sciences related courses to undergraduate students
  • Prepare and design teaching materials, tests, and homework assignments.
  • Assist students with hardware and software use.
  • Present subject matter using lectures, discussions, visual aids, and role-playing methods.
  • Participate in National Accreditation Tasks.

Education

Ph.D. - Computer And Information Sciences

University of Bergen
Bergen, Norway
04-2027

Master of Science - Computer Science And Artificial Intelligence

Cairo University
Cairo, Egypt
03-2016

Bachelor of Science - Computer Science And Artificial Intelligence

Cairo University
Cairo, Egypt
06-2009

Skills

  • Machine learning techniques
  • Advanced data analysis
  • Scientific communication
  • Mentoring
  • Coding
  • Teaching

Languages

Arabic
Bilingual or Proficient (C2)
English
Advanced (C1)
Norwegian
Intermediate (B1)

Timeline

Doctoral Research Fellow

University of Bergen
06.2022 - Current

University Lecturer

MSA University
09.2014 - 02.2018

R&D Engineer

Taya IT
04.2012 - 02.2014

Mobile Application Developer

Tawasolit
10.2011 - 03.2012

Teaching Assistant

MSA University
09.2009 - 10.2011

Ph.D. - Computer And Information Sciences

University of Bergen

Master of Science - Computer Science And Artificial Intelligence

Cairo University

Bachelor of Science - Computer Science And Artificial Intelligence

Cairo University

publications

  • Seddik, K. M. A.; Knudsen, E.; Trilling, D.; Trattner, C. (2023). Understanding How News Recommender Systems Influence Selective Exposure. In: RecSys‘23: Proceedings of the 17th ACM Conference.
  • Seddik, K. (2024). Exploring the Ethical Challenges of AI and Recommender Systems in the Democratic Public Sphere. Norsk IKT-Konferanse for Forskning Og Utdanning, (1). https://doi.org/10.5324/nikt.6230
  • Jeng, J. H., Kasangu, G., Starke, A., Seddik, K. M. A., & Trattner, C. (2025). The role of GPT as an adaptive technology in climate change journalism. In Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization (UMAP '25) (pp. 214–223). Association for Computing Machinery. https://doi.org/10.1145/3699682.3728332
  • Seddik, K. M., Farghaly, A., & Fahmy, A. A. (2015). Arabic anaphora resolution: Corpus of the Holy Qur’an annotated with anaphoric information. International Journal of Computer Applications, 124(15), 35–43. https://doi.org/10.5120/ijca2015905709
  • Seddik, K.M., Farghaly, A. (2014). Anaphora Resolution. In: Zitouni, I. (eds) Natural Language Processing of Semitic Languages. Theory and Applications of Natural Language Processing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45358-8_8
  • Seddik, K. M., & Farghaly, A. (2011). Arabic anaphora resolution using Holy Qur’an text as corpus. In Proceedings of the Arabic Language Technology International Conference (ALTIC).
Khadiga Seddik