Enas Khwaileh

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Current Research

Intention is All you need

2023-current 2024/2025

Expand Miraculous to explain dataset usefulness

  • In collaboration with Ibraheem Taha Aalborg and Athens Universities Supervised by Yannis Velegrakis and Albert Ghatt

Understanding Hallucinations in Large Language

Current Project 2025

More insights to explore

Matching Denormalized Schemas with Joinable Paths

Current Project 2024/2025

More insights to explore

  • In collaboration with University of Maryland, Baltimore County (USA) and Kolon University and under supervision of Yannis Velegrakis and Albert Ghatt

Publications

(2025/3) Dataset Discovery using Semantic Matching Khwaileh, Enas; Velegrakis, Yannis © 2025 Copyright held by the owner/author(s). Published in Proceedings of the 28th International Conference on Extending Database Technology (EDBT), 25th March-28th March, 2025, ISBN 978-3-89318-099-8 on OpenProceedings.org. Distribution of this paper is permitted under the terms of the Creative Commons license CC-by-nc-nd 4.0. https://openproceedings.org/2025/conf/edbt/paper-198.pdf

(2020/8) An Optimized Dynamic Trickle Algorithm for Media Technology Khwaileh, Enas; Muneer Bani Yassein, Omar Al Zoubi. International Journal on Communications Antenna and Propagation. DOI: 10.15866/irecap.v10i4.193

(2020/01/01) Question to Question Similarity Analysis Using Morphological, Syntactic, Semantic, and Lexical Features Khwaileh, Enas; Mahmoud M Hammad, Mohammad Al-Smadi, Qanita Bani Baker, Nour Al-khdour, Mutaz Bni Younes,. Journal of Universal Computer Science, vol. 26, no. 6 (2020), 671-697

(2020/12) ELMo-NB at SemEval-2020 Task 7: Assessing Sense of Humor in EditedNews Headlines Using ELMo and NB. Khwaileh, Enas; Muntaha A Al-As’ad. Proceedings of the Fourteenth Workshop on Semantic Evaluation 1001-1007. DOI:10.18653/v1/2020.semeval-1.130

(2019/11/3) Question to Question Similarity Analysis using Morphological, Syntactic, Semantic, and Lexical Features Khwaileh, Enas; Muntaha Al-Asa'd, Nour Al-Khdour, Mutaz Bni Younes, Mahmoud Hammad, AL-Smadi Mohammad. 2019 IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA) DOI:10.1109/AICCSA47632.2019.9035248

Teaching

Block 4 2024/2025: Will supervise 4 master students on their thesis in The Applied Data Science one year masters course

Block 3 2024/2025: Teaching Supervisor for the Database Course (Second year students)

Block 2 2024/2025: Supervising 20 students to start and finalise their projects in course Introductory Projects for first year bachelor computer science students

Block 4 2023/2024: Supervised 3 master students on their thesis in The Applied Data Science one year masters course

Block 3 2023/2024: Teaching Supervisor for the Database Course (Second year students)

Block 2 2023/2024: Supervising 20 students to start and finalise their projects in course Introductory Projects for first year bachelor computer science students

Block 1 2023/2024: Teaching assitant for Data Wrangling (Applied Data Science Masters Students)

Block 4 2022/2023: Supervised 3 master students on their thesis in The Applied Data Science one year masters course

Block 3 2022/2023: Teaching Supervisor for the Database Course (Second year students)

Block 2 2022/2023: Supervising 20 students to start and finalise their projects in course Introductory Projects for first year bachelor computer science students

Block 1 2022/2023: Teaching assitant for Data Wrangling (Applied Data Science Masters Students)

Block 4 2021/2022: Supervised 3 master students on their thesis in The Applied Data Science one year masters course

Block 3 2021/2022: Teaching Supervisor for the Database Course (Second year students)

Block 2 2021/2022: Supervising 20 students to start and finalise their games in course Game Technology for first year bachelor computer science students

Block 1 2021/2022: Teaching assitant for Data Wrangling (Applied Data Science Masters Students)

Skills

Empowering Seamless Data Exploration and Integration for Smarter Solutions

Deep and Machine learning with Python (numpy, pandas, pyplot, sklearn, TensorFlow)
Natural Language Processing and Database Federations (GPT, S-BERT, BERT)
Frontend: API's infrastructure (HTML, CSS, JavaScript)
RDBMS (Oracle Databse, PostgreSQL), NoSQL(MongoDB), Graph Database (Neo4j), and Vectors Database (PGVector, Qdrant, Chroma)