Semantics-basedExplanation of Cyber-physical Systems
Vienna University of Economics and Business (WU)
Institute of Data, Process and Knowledge Management
Prof. Dr. Marta Sabou (F), is a Full Professor for "Information Systems and Business Engineering" at the WU. She focuses on research at the intersection of Semantic Web technologies and Human Computation and Crowdsourcing. She is an accomplished academic (over 100 peer-reviewed papers, h-index=45) and has extensive project work and management experience.
Dr. Fajar J. Ekaputra (M) is an Assistant Professor at the WU on the topic of Semantic Web for Knowledge Engineering and Knowledge Management. He has a vast research project experience on the topic of the Semantic Web and its applications in several domains, including Industrie 4.0, Smart Cities, Smart Grid, and Personal Data management.
Mevludin Memedi (M) holds a PhD degree in Information Technology and MSc degree in Computer Engineering with specialization in Artificial Intelligence. His research focuses on developing and evaluating information systems containing modules for data collection (e.g., sensors), exploratory analysis (e.g., machine learning), and interactive visualizations (e.g., dashboards). He joined WU as a project staff member in February 2023.
Katrin Schreiberhuber (F) is a PhD student researching the use of neural-symbolic AI approaches to increase system explainability. She has completed her master degree in Data Science at TU Wien, where she specialized in Machine Learning, Visual Analytics and Semantic Technologies. Her master thesis focused on applying Knowledge Graph Embeddings to derive Event Explanations in a Knowledge Graph.
Dr. Thomas Frühwirth studied Computer Engineering at the TU Wien and finished his PhD in 2021. His research interests lie in combining concepts from industrial communication technologies, real-time applications, and knowledge engineering to apply them in different domains of the Industrial Internet of Things (IIoT), including Smart Grids, building automation, and smart manufacturing.
Dr. Gernot Steindl is a postdoctoral researcher at the Institute of Computer Engineering, TU Wien. He holds a master’s degree in Electrical Engineering and Building Technology. He received his Ph.D. in Computer Science from TU Wien, using semantic web technology for the digital twinning of industrial energy systems. His main research interest is utilizing semantic descriptions in industrial & building automation systems and smart energy systems to optimize operations.
Tobias Schwarzinger (M) is a Ph.D. student at the Institute of Computer Engineering at TU Wien. He holds a Master's degree in Computer Science. His research interests combine ideas from knowledge engineering and temporal logic in the context of cyber-physical systems.
Mohammad Bilal (M) is a PhD student researching the use of explainable AI and ontology design methods within the cyber-physical system scope. He holds an M.Sc. in International Business Economics and an M.Sc. in Computer Science and Artificial Intelligence. His master thesis focused on applying machine learning methods Naïve Bayes and support vector machines to data sets.
Simon Steyskal (m) is a research scientist involved in projects spanning across a multitude of industry sectors. His research focus revolves around Semantic Web technologies, Linked Data, Building Information Modeling, deep learning, computer vision, augmented reality, urban data analytics, and data integration. He is/was also an active member of various W3C standardization activities, including Shapes Constraint Language (SHACL) (WG, 2014-2017), Open Digital Rights Language (ODRL) (WG, 2016-2018), JSON-LD 1.1 (WG, 2018-2020).
Dagmar Jaehnig (F) has been a researcher and project manager with AEE INTEC since 2002. Her research topics include digital twins for buildings, simulation of energy efficient building services, heat pumps integrated into the building envelope as well as solar thermal systems for space heating, domestic hot water heating, and industrial applications.
Christoph Moser (M) has been a researcher and project manager with AEE INTEC since 2022. His research topics include the digital twins for buildings, simulation of energy efficient building services, development of renovation strategies of building portfolios as well as building information modelling (BIM).
Wolfgang Prüggler is Managing Director at MOOSMOAR Energies OG. He holds a Ph.D in Energy Economics, a M.Sc. in Electrical Engineering and a M.Sc. in Computer Science Management. He is project leader in many national and international research projects in the energy sector focusing on business modelling and economic evaluation.
Dr. Ioan Toma is Chief AI Officer and Co-Founder of Onlim and is responsible for the entire data science. Ioan received a Ph.D. in Computer Science from the University of Innsbruck and takes care of the development and operation of the AI components of the Onlim platform together with his team.
Dr. Jürgen Umbrich is Knowledge Scientist at Onlim and responsible for the development of data infrastructure and modelling of data and services. Jürgen graduated from the National University of Ireland, Galway (NUI Galway) in 2013 and worked for the WU before joining Onlim.