M. Sc. Rawaa Alatrash

Ph.D. Student Rawaa Alatrash

Office location: LE 409

Office hours: By appointment only

Phone : +49 (0) 203 379-1333

E-Mail: rawaa.alatrash@stud.uni-due.de

Links: Linkedin Icon   Google scholar icon

Projects: CourseMapper

Short CV

Rawaa Alatrash is a Research Assistant and Ph.D. student of the Social Computing Group in the INKO department at the University of Duisburg-Essen. She graduated in Information System Engineering with a specialization in Development Programming Application in Syria. After her graduation, she received a scholarship to pursue a Master of Technology in Computer Science and Engineering (M. Tech in CSE) in India. Her technical expertise includes cross-platform proficiency and advanced knowledge in programming languages. She has multiple years of experience in developing interactive websites using various web technologies. She has experience in various algorithms in both Machine Learning and Deep Learning to improve Natural Language Processing techniques.

Research Interests

  • Recommender Systems
  • Deep learning and Machine Learning
  • Natural Language Processing (NLP)
  • Knowledge Base Systems
  • Text Data Mining and Knowledge Discovery
  • Sentiment Analysis
  • Social Computing

Academic Qualifications

Jun 2018 – Jun 2020
Master of Technology, Computer Science and Engineering
C.V. Raman Global University, Bhubaneswar, Odisha, India

Mar 2012 - Jan 2018
Bachelor of Information Engineering, Development of Application Programming
Syrian Virtual University, Damascus, Syria

Work Experience

since May 2022
Ph.D. student in the Social Computing Group at the University of Duisburg-Essen, Germany

Mar 2019 – Sep 2019
Website Developer at Wholesaller in Bhubaneswar, India

Jan 2018 – Sep 2018
Website Developer at Delta Trading & Contracting in Lebanon

Publications

2024

  • Rawaa Alatrash, Mohamed Amine Chatti, Qurat Ul Ain, Shoeb Joarder
    Transparent Learner Knowledge State Modeling using Personal Knowledge Graphs and Graph Neural Networks   Inproceedings  
    In Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization (UMAP’24 Adjunct), Cagliari, Italy, July 2024.
     
  • Rawaa Alatrash, Mohamed Amine Chatti, Qurat Ul Ain, Fang Yipeng, Shoeb Joarder, Clara Siepmann
    ConceptGCN: Concept Recommendation in MOOCs based on Knowledge Graph Convolutional Networks and SBERT  Journal Article Open Access
    Computers and Education: Artificial Intelligence, Volume 6, 2024, 100193, ISSN 2666-920X, https://doi.org/10.1016/j.caeai.2023.100193
     
  • Qurat Ul Ain, Mohamed Amine Chatti, William Kana Tsoplefack, Rawaa Alatrash and Shoeb Joarder
    Designing and Evaluating an Educational Recommender System with Different Levels of User Control   Inproceedings  
    In Proceedings of the 11th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS)
     
  • Qurat Ul Ain, Mohamed Amine Chatti, Paul Arthur Meteng Kamdem, Rawaa Alatrash, Shoeb Joarder and Clara Siepmann
    Learner Modeling and Recommendation of Learning Resources using Personal Knowledge Graphs   Inproceedings  
    In Proceedings of the 14th International Learning Analytics and Knowledge Conference (LAK’24), pp. 273–283
     

 

2023

  • Qurat Ul Ain, Mohamed Amine Chatti, Komlan Gluck Charles Bakar, Shoeb Joarder, Rawaa Alatrash
    Automatic Construction of Educational Knowledge Graphs: A Word Embedding-based Approach   Journal Article Open Access
    Information 2023, 14(10), 526; https://doi.org/10.3390/info14100526
     
  • Mouadh Guesmi, Mohamed Amine Chatti, Shoeb Joarder, Qurat Ul Ain, Rawaa Alatrash, Clara Siepmann, Tannaz Vahidi
    Interactive Explanation with Varying Level of Details in an Explainable Scientific Literature Recommender System   Journal Article
    International Journal of Human–Computer Interaction, 2023; https://doi.org/10.1080/10447318.2023.2262797
     
  • Mouadh Guesmi, Mohamed Amine Chatti, Shoeb Joarder, Qurat Ul Ain, Clara Siepmann, Hoda Ghanbarzadeh, Rawaa Alatrash
    Justification vs. Transparency: Why and How Visual Explanations in a Scientific Literature Recommender System   Journal Article Open Access
    Information. 2023; 14(7):401. https://doi.org/10.3390/info14070401
     
  • Mouadh Guesmi, Clara Siepmann, Mohamed Amine Chatti, Shoeb Joarder, Qurat Ul Ain, Rawaa Alatrash
    Validation of the EDUSS Framework for Self-Actualization Based on Transparent User Models: A Qualitative Study   Inproceedings
    In Adjunct Proceedings of the 31th ACM Conference on User Modeling, Adaptation and Personalization (UMAP ’23 Adjunct), Limassol, Cyprus, June 2023.
     

 

2022

  • Qurat Ul Ain, Mohamed Amine Chatti, Shoeb Joarder, Ilia Nassif, Benjamine Stella Wobiwo Teda, Mouadh Guesmi, Rawaa Alatrash
    Learning Channels to Support Interaction and Collaboration in CourseMapper   Inproceedings
    In Proceedings of the 14th International Conference on Education Technology and Computers (ICETC ’22).
     
  • Mouadh Guesmi, Mohamed Amine Chatti, Jaleh Ghorbani-Bavani, Shoeb Joarder, Qurat Ul Ain, Rawaa Alatrash
    What if Interactive Explanation in a Scientific Literature Recommender System   Inproceedings  
    In Proceedings of the 9th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS ’22).