Fajar Juang Ekaputra

Fajar Juang Ekaputra is a Tenure Track Assistant Professor at the Institute of Data, Process, and Knowledge Management (DPKM), WU Vienna and a part-time Postdoctoral Researcher at the Data Science research unit, TU Wien. With a focus on Semantic Web, Knowledge Graphs, and their integration with Machine Learning in Neurosymbolic AI systems, his work spans domains like Cyber-Physical Systems and Materials Engineering.

• Education:
  • Dr.techn. (2018), TU Wien
  • M.T. (2010) and S.T. (2008), Institute Teknologi Bandung (ITB)

Research Interests center on hybrid AI systems combining Semantic Web and Machine Learning, with applications in Cyber-Physical Systems (e.g., smart grids, smart buildings), data privacy in smart cities, and materials engineering. His 102+ publications include frameworks like SWeMLS-KG and SHACL4Protege.

Recent Articles (2024) address explainable AI in cyber-physical systems, privacy trust in data infrastructures, and neurosymbolic frameworks. Earlier works (2023–2022) explore ontology-based data management, auditable AI, and hybrid system architectures.

• Scientific Awards:
  • Best Paper Awards (ICoDSE 2023, ICoDSE 2016)
  • Best Poster Nomination (SEMANTiCS 2019)
  • PhD Scholarship (Austria’s Agency for Education and Internationalisation, 2012)

Advising includes supervising PhD students (e.g., Majlinda Llugiqi, Katrin Schreiberhuber) and master’s theses on topics like knowledge graph characteristics and data quality assessment. He leads projects such as FAIR-AI (FFG-funded, 2024–2026) and SENSE (Horizon Europe, 2023–2025).