Curriculum Vitae and Publications Genet Asefa Gesese

Education

• 2018 - Present: PhD Student/Junior Researcher, FIZ Karlsruhe – Leibniz Institute for Information Infrastructure and Karlsruhe Institute of Technology (KIT), Institute of Applied Informatics and Formal Description Methods (AIFB)
• 2015 - 2018: European Masters in Computational Logic(EMCL), Dresden University of Technology Dresden, Germany
• 2010 - 2013: MSc. in Computer Science, Addis Ababa University Addis Ababa, Ethiopia
• 2006 - 2009: Bachelor of Science in Computer Science, Hawassa University, Hawassa, Ethiopia

Master’s thesis

• EMCL: Genet Asefa Gesese: Topic Detection and Labeling for Online Meetings and Webinars, 2018.
  Supervisors: Dr. Daniel Esser and Dr. Thomas Springer, [local copy (PDF)]
  Supervising professor: Prof. Dr. rer. nat. habil. Dr. h. c. Alexander Schill
• MSc in computer science: Genet Asefa Gesese: Ontology-based Semantic Indexing for Amharic Text in Football Domain, 2013.
  Advisor: Dr. Fekade Getahun, [local copy (PDF)]

Experience

• 2013 - 2015: Lecturer, Addis Ababa Science and Technology University, Ethiopia
• 2009 - 2010: Graduate Assistant, Hawassa University, Ethiopia

• Natural Language Processing
• Semantic Web
• Machine Learning
• Knowledge Graph

G. A. Gesese, R. Biswas, M. Alam, H. Sack:
A Survey on Knowledge Graph Embeddings with Literals: Which model links better Literal-ly?, submitted to Semantic Web Journal, Oct 25, 2019 (under review) [Copy at arxiv.org]

G. A. Gesese, R. Biswas, H. Sack:
A Comprehensive Survey of Knowledge Graph Embeddings with Literals: Techniques and Applications, Workshop on Deep Learning for Knowledge Graphs (DL4KG), co-located with of the 16th Extended Semantic Web Conference (ESWC 2019), CEUR workshop proceedings, vol. 2377, pp. 31-40, CEUR-WS.org, online at http://ceur-ws.org/Vol-2377/), [local copy (PDF)].

F. Getahun, G. A. Gesese:
Towards Amharic Semantic Search Engine, in Proceedings of the 7th International Conference on Management of computational and collective intelligence in Digital EcoSystems (MEDES '15), pp. 103-110, ACM New York, NY, USA 2015. https://dl.acm.org/citation.cfm?id=2857235, [local copy (PDF)]

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