Dr. Verena Geist

Key Researcher Software Science
Research Team Lead Complex Software Systems Analysis

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Verena Geist is key researcher in the area of Software Science at SCCH. She has over 16 years of experience in working as a researcher in the field of process-aware information systems, business process modelling and workflow management, rigorous specifications, and knowledge representation.

Research Interests

Knowledge Graphs
Business Process Intelligence and Process Mining
Process Automation
Artificial Intelligence for Software Engineering

Key Facts

Project manager of six research projects on (dynamic) knowledge graphs, code analysis, user interfaces and technologies, model-based engineering, adaptivity and rigorous semantics of business processes, as well as formal process models (2011 - now)
Best Paper Award of the Journal of Software and Systems Modeling (2020)
Promotio sub auspiciis Praesidentis rei publicae (2012)
Doctoral Studies in Technical Sciences, Institute for Application Oriented Knowledge Processing, Johannes Kepler University, Linz, Austria (2005 - 2011)
Würdigungspreis des Bundesministers für Wissenschaft und Forschung (2011)
Best Academic Thesis Award (2005)
Diploma Studies in Software Engineering for Medical Purposes, University of Applied Sciences Upper Austria, Hagenberg, Austria (2001 - 2005)

Publikationen

2024
Innovating Industry with Research: eknows and Sysparency

Geist, V., Moser, M., Pichler, J., & Schnitzhofer, F. (2024). Innovating Industry with Research: eknows and Sysparency. IEEE Software, 1–7.
2023
Using AI-Based Code Completion for Domain-Specific Languages

Piereder, C., Fleck, G., Geist, V., Moser, M., & Pichler, J. (2023). Using AI-Based Code Completion for Domain-Specific Languages. Lecture Notes in Computer Science, 227–242.
Documenting and Comparing OPC UA Information Models

S. Schöberl, B. Dorninger, A. Kern and V. Geist, "Documenting and Comparing OPC UA Information Models," 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA), Sinaia, Romania, 2023, pp. 1-8, doi: 10.1109/ETFA54631.2023.10275554.
Using Architecture Decision Records in Open Source Projects - An MSR Study on GitHub

Buchgeher, G., Schöberl, S., Geist, V., Dorninger, B., Haindl, P., & Weinreich, R. (2023). Using Architecture Decision Records in Open Source Projects – An MSR Study on GitHub. IEEE Access, 1–1.
Leveraging and Evaluating Automatic Code Summarization for JPA Program Comprehension

Mayer, R., Moser, M., & Geist, V. (2023). Leveraging and Evaluating Automatic Code Summarization for JPA Program Comprehension. 2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER).
2022
Enhancing TransE to Predict Process Behavior in Temporal Knowledge Graphs

Karetnikov, A., Ehrlinger, L., & Geist, V. (2022). Enhancing TransE to Predict Process Behavior in Temporal Knowledge Graphs. Database and Expert Systems Applications - DEXA 2022 Workshops, 369–374.
Graph-Based Managing and Mining of Processes and Data in the Domain of Intellectual Property

Hübscher, G., Geist, V., Auer, D., Ekelhart, A., Mayer, R., Nadschläger, S., & Küng, J. (2022). Graph-based managing and mining of processes and data in the domain of intellectual property. Information Systems, 106, 101844.
2021
Evolution von Wissen, Aufgaben und Prozessen in einem 2D-Knowledge&Process-Graph

Hübscher, G., Auer, D., Geist, V., & Küng, J. (2021) Evolution von Wissen, Aufgaben und Prozessen in einem 2D-Knowledge&Process-Graph. ERP Future 2020 - Die Fachveranstaltung für Enterprise Systems in Österreich, 10. November 2020 in Hagenberg, Oberösterreich
KI in der Praxis: Key Challenges im System-Engineering

Fischer, L., Ehrlinger, L., Geist, V., Ramler, R., Sobieczky, F., Zellinger, W., & Moser, B. (2021) KI in der Praxis: Key Challenges im System-Engineering. ERP Future 2020 - Die Fachveranstaltung für Enterprise Systems in Österreich, 10. November 2020 in Hagenberg, Oberösterreich
Representation and Presentation of Knowledge and Processes - An Integrated Approach for a Dynamic Communication-intensive Environment

Hübscher, G., Geist, V., Auer, D., Hübscher, N., & Küng, J. (2021). Representation and presentation of knowledge and processes – an integrated approach for a dynamic communication-intensive environment. International Journal of Web Information Systems, 17(6), 669–697.
2020
AI System Engineering - Key Challenges and Lessons Learned

Fischer, L., Ehrlinger, L., Geist, V., Ramler, R., Sobiezky, F., Zellinger, W., Brunner, D., Kumar, M., & Moser, B. (2020). AI System Engineering—Key Challenges and Lessons Learned. Machine Learning and Knowledge Extraction, 3(1), 56–83.
Integration of knowledge and task management in an evolving, communication-intensive

Hübscher, G., Geist, V., Auer, D., Hübscher, N., & Küng, J. (2020). Integration of Knowledge and Task Management in an Evolving, Communication-intensive Environment. Proceedings of the 22nd International Conference on Information Integration and Web-Based Applications & Services.
Leveraging machine learning for software redocumentation – A eomprehensive comparison of methods in practice

Geist, V., Moser, M., Pichler, J., Santos, R., & Wieser, V. (2020). Leveraging machine learning for software redocumentation—A comprehensive comparison of methods in practice. Software: Practice and Experience, 51(4), 798–823. Portico.
Applying AI in practice: Key challenges and lessons learned

Fischer, L., Ehrlinger, L., Geist, V., Ramler, R., Sobieczky, F., Zellinger, W., & Moser, B. (2020). Applying AI in Practice: Key Challenges and Lessons Learned. Machine Learning and Knowledge Extraction, 451–471.
Leveraging machine learning for software redocumentation

Geist, V., Moser, M., Pichler, J., Beyer, S., & Pinzger, M. (2020). Leveraging Machine Learning for Software Redocumentation. 2020 IEEE 27th International Conference on Software Analysis, Evolution and Reengineering (SANER).
2019
Thirteen years of SysML: A systematic mapping study

Wolny, S., Mazak, A., Carpella, C., Geist, V., & Wimmer, M. (2019). Thirteen years of SysML: a systematic mapping study. Software and Systems Modeling, 19(1), 111–169.

Dr. Verena Geist

Details

Research Interests

Key Facts

Publikationen

2024

Innovating Industry with Research: eknows and Sysparency

2023

Using AI-Based Code Completion for Domain-Specific Languages

Documenting and Comparing OPC UA Information Models

Using Architecture Decision Records in Open Source Projects - An MSR Study on GitHub

Leveraging and Evaluating Automatic Code Summarization for JPA Program Comprehension

2022

Enhancing TransE to Predict Process Behavior in Temporal Knowledge Graphs

Graph-Based Managing and Mining of Processes and Data in the Domain of Intellectual Property

2021

Evolution von Wissen, Aufgaben und Prozessen in einem 2D-Knowledge&Process-Graph

KI in der Praxis: Key Challenges im System-Engineering

Representation and Presentation of Knowledge and Processes - An Integrated Approach for a Dynamic Communication-intensive Environment

2020

AI System Engineering - Key Challenges and Lessons Learned

Integration of knowledge and task management in an evolving, communication-intensive

Leveraging machine learning for software redocumentation – A eomprehensive comparison of methods in practice

Applying AI in practice: Key challenges and lessons learned

Leveraging machine learning for software redocumentation

2019

Thirteen years of SysML: A systematic mapping study