Meet Our Members: Fajar J. Ekaputra

Fajar received his bachelor's and master's degrees from the Institute Technology of Bandung (ITB), Indonesia, and a doctoral degree in Informatics from TU Wien, Austria, in 2018. He is currently working as Assistant Professor at the Institute for Data, Process, and Knowledge Management at WU.

Fajar's research mainly concerns the intersection of Semantic Web, Knowledge Engineering, and Neurosymbolic AI, as well as their applications in application domains, mostly related to Cyber-Physical Systems, such as Industrie 4.0, Smart Grid, and Smart Cities. Recently, his research focus has extended to the topic of pattern-based engineering of neurosymbolic AI systems through investigating existing and upcoming neurosymbolic AI system design patterns (https://dl.acm.org/doi/10.1145/3586163 and https://journals.sagepub.com/doi/10.1177/29498732251320078), and designing and developing frameworks and tools for supporting AI systems with design patterns.

Fajar is actively involved in several National and European research projects, including the FAIR AI project, an FFG flagship project aiming to prepare Austrian AI community for the upcoming AI-related regulation such as EU AI Act, the DORSET project, a WWTF project focusing on investigating the interconnection between knowledge characteristics, AI algorithms, and downstream tasks performance, and the PERKS project, a Horizon Europe project aiming to support the holistic governance of Industrial Procedural Knowledge through AI and Knowledge Graphs.