CV

Education

• Ph.D in Computer Science, Aalborg University, 2024 (expected)
• M.S. in Software (Engineering), Aalborg University, 2020
• B.S. in Software (Engineering), Aalborg University, 2018

Academic and Professional Activities

• Fall 2021, Teaching Assistant for Web Intelligence, Aalborg University
• Fall 2020, Teaching Assistant for Web Intelligence, Aalborg University
• 01/09/2018-31/07/2020, IT Employee, Student Programmer, Aalborg University, Department of Computer Science
  • OCR correction using recurrent neural networks and database querying
• 01/10/2017-31/09/2018, IT Employee, Student Programmer, Aalborg University, School of Information and Communication Technology
  • Database and website management, as well as administrative assignments

Skills

Python, PyTorch, C#, Git, Docker, Linux, SPARQL, and SQL

Publications

Hypergraphs with Attention on Reviews for Explainable Recommendation

T.E. Jendal, TH. Le, H.W. Lauw, M. Lissandrini, P. Dolog, K. Hose, "Hypergraphs with Attention on Reviews for Explainable Recommendation," in ECIR, 2024

Knowledge graph embeddings: open challenges and opportunities

R. Biswas, L.A. Kaffee, M. Cochez, S. Dumbrava, T.E. Jendal, et al.. "Knowledge graph embeddings: open challenges and opportunities," in TGDK, 2023

GInRec: A Gated Architecture for Inductive Recommendation using Knowledge Graphs

T. E. Jendal, M. Lissandrini, P. Dolog, and K. Hose, “GInRec: A gated architecture for inductive recommendation using knowledge graphs,” in KaRS, 2023.

MindReader: Recommendation over Knowledge Graph Entities with Explicit User Ratings

A. H. Brams*, A. L. Jakobsen*, T. E. Jendal*, M. Lissandrini, P. Dolog, and K. Hose, “Mindreader: Recommendation over knowledge graph entities with explicit user ratings,” in CIKM, 2020

Services

• TheWebConf'22, TheWebConf'23, CIKM'24, TIST'24
• SIGIR'21, TheWebConf'22, SIGIR'22, ICDE'22, ISWC'22, VLDB'22, SIGMOD'22, SIGIR'23, SIGMOD'24, VLDB'24