Scientific Journal Paper

Brillinger, M., Abdul Hadi, M., Haas, F., and Weinzerl, M.: Adaptive Smart Assembly Concept in e-Mobility: A Research Direction. European Scientific Journal, Special Edition, pp. 1-14. ESJ. 2020.

Ceneda, D., Andrienko, N., Andrienko, G., Gschwandtner, T., Miksch, S., Piccolotto, N., Schreck, T., Streit, M., Suschnigg, J., and Tominski, C.: Guide Me in Analysis: A Framework for Guidance Designers. Computer Graphics Forum, Volume 39, No. 6, pp. 269-288. Wiley. 2020.

Huynh, V.Q.P. and Küng, J.: FPO tree and DP3 algorithm for distributed parallel Frequent Itemsets Mining. Journal Expert Systems with Applications, Volume 140, ArticleNo. 112874. Elsevier. 2020.

Lovrić, M., Pavlović, K., Vuković, M., Grange, S. K., Haberl, M., and Kern, R.: Understanding the true effects of the COVID-19 lockdown on air pollution by means of machine learning. Journal Environmental Pollution, ArticleNo. 115900. Elsevier. 2020.

Marschik, M., Roland, W., Dörner, M., Schaufler, S., Schöppner, V., and Steinbichler, G.: Application of Network Analysis to Flow Systems with Alternating Wave Channels: Part B. (Superimposed Drag-Pressure Flows in Extrusion). Journal Polymers 2020, Volume, 12, Issue 9, Article 1900, pp. 1-24. 2020.

Xu, K., Ottley, A., Walchshofer, C., Streit, M., Chang, R., and Wenskovitch, J.: Survey on the Analysis of User Interactions and Visualization Provenance. Computer Graphics Forum, Volume 39, No. 3, pp. 757-783. Wiley. 2020.

Gehring, N.: Ein systematischer Backstepping-Zugang zur Regelung gekoppelter ODE-PDE-ODE-Systeme. at – Automatisierungstechnik, Volume 68, No. 8, pp. 654-666. DeGruyter. 2020.

Peer-Reviewed Conference Paper

Abdul Hadi, M., Brillinger, M., and Haas, F.: Adaptive assembly approach for e-axles. EAI MMS 2019, 4th EAI International Conference on Management of Manufacturing Systems, pp. 249-260. Springer, Cham. 2020.

Ahmad, A., Haslgrübler, M., Ferscha, A., Ettinger, B., and Cho, J.: Macro Workstep Detection for Assembly Manufacturing. PETRA 2020, 13th PErvasive Technologies Related to Assistive Environments Conference, ArticleNo. 31. ACM. 2020.

Botler, L., Kajtazovic, N., Diwold, K., and Römer, K.: Jit Fault Detection: Increasing Availability in 1oo2 Systems Just-In-Time. ARES 2020, 15th International Conference on Availability, Reliability and Security, ArticleNo. 9, pp. 1-10, ACM. 2020.

Botler, L., Ribeiro, L., Diwold, K., and Römer, K.: On the Potential of Distance Bounding based on UWB Received Signal Strength. PECCS 2020, 10th International Conference on Pervasive and Parallel Computing, Communication and Sensors, pp. 7-14. Scitepress. 2020.

Botler, L., Spörk, M., Diwold, K., and Römer, K.: Direction Finding with UWB and BLE: A Comparative Study. MASS2020, IEEE 17th International Conference on Mobile Ad Hoc and Sensor Systems, pp. 44-52. IEEE. 2020.

Brillinger, M., Pichlkastner, C., Trummer, A., Haas, F., and Abdul Hadi, M.: Additive manufacturing of salt hydrates: Primary process parameters and case study. ICPEME 2020, 4th International Conference on Power, Energy and Mechanical Engineering together with ICMEP 2020, 9th International Conference on Manufacturing Engineering and Processes & E3S Web of Conferences, Vol. 162, ArticleNo. 02003, pp. 1-5. EDP Sciences, 2020.

Brillinger, M. and Pendl, K.A.: Non Newtonian material behaviour in extrusion based 3D printing: Investigation of critical process parameters. MCM 2020, 6th World Congress on Mechanical, Chemical, and Merial Engineering, ArticleNo. MMME117. MCM. 2020. (DOI tba)

Gashi, M. and Thalmann, S.: Taking Complexity into Account: A Structured Literature Review on Multi-component Systems in the Context of Predictive Maintenance. EMCIS 2019, 16th European Mediterranean & Middle Eastern Conference on Information Systems, pp. 31-44. Springer, Cham. 2020.

Hauer, D., Diwold, K., Schuss, M., Krammer, L., and Sauter, T.: Plug & Play Monitoring for Distribution Substations. IEEE ICIT 2020, International Conference on Industrial Technology, pp. 624-629. IEEE. 2020.

Hofer, D., Jäger, M., Mohamed, A., and Küng. J.: On Applying Graph Database Time Models for Security Log Analysis. FDSE 2020, 7th International Conference on Future Data and Security Engineering, pp. 87-110. Springer, Cham. 2020.

Kajmakovic, A., Diwold, K., Kajzazovic, N., and Zupanc, R.: Challenges in Mitigating Soft Errors in Safety-critical Systems with COTS Microprocessors. PESARO 2020, 10th International Conference on Performance, Safety and Robustness in Complex Systems and Applications, pp. 13-18. IARIA. 2020.

Kloiber, S., Suschnigg, J., Settgast, V., Schinko, C., Weinzerl, M., Schreck, T., and Preiner, R.: Immersive Analytics of Anomalies in Multivariate Time Series Data with Proxy Interaction. CW 2020, International Conference on Cyberworlds, pp. 94-101. IEEE. 2020.

Koutroulis, G., Santos, T., Wiedemann, M., Faistauer, C., Kern, R., and Thalmann, S.: Enhanced Active Learning of Convolutional Neural Networks: A Case Study for Defect Classification in the Semiconductor Industry. KDIR 2020, 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, pp. 269-276. Scitepress. 2020.

Kraus, D., Diwold, K., and Leitgeb, E.: Getting on track – Simulation-aided Design of Wireless IoT Sensor Systems. IEEE CoBCom 2020, 3rd International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications, pp. 1-6. IEEE. 2020.

Mayr-Dorn, C., Tuder, J., and Egyed, A.: Process Inspection Support: an Industrial Case Study. ICSSP 2020, International Conference on Software and System Processes, pp. 81–90. ACM. 2020.

Mayr-Dorn, C., Vierhauser, M., Keplinger, F., Bichler, S., and Egyed, A.: TimeTracer: a tool for back in time traceability replaying. ICSE 2020, 42nd International Conference on Software Engineering: Companion Proceedings, pp. 33–36. ACM/IEEE. 2020.

Mayrhofer, M., Mayr-Dorn, C., Guiza, O., Weichhart, G., and Egyed, A.: Capability-Based Process Modeling and Control. ETFA 2020, 25th IEEE International Conference on Emerging Technologies and Factory Automation, pp. 45-52. IEEE. 2020.

Pühringer, M., Hinterreiter, A., and Streit, M.: InstanceFlow: Visualizing the Evolution of Classifier Confusion on the Instance Level. IEEE VIS 2020, Forum for Advances in Scientific and Information Visualization 2020, Short Paper Track, pp. 291-294. IEEE. 2020.

Shafiq, S., Mayr-Dorn, C., Mashkoor, A., and Egyed, A.: Towards Optimal Assembly Line Order Sequencing with Reinforcement Learning: A Case Study. ETFA 2020, 25th IEEE International Conference on Emerging Technologies and Factory Automation, pp. 982-989. IEEE. 2020.

Suschnigg, J., Ziessler, F., Brillinger, M., Vukovic, M., Mangler, J., Schreck, T., and Thalmann, S.: Industrial Production Process Improvement by a Process Engine Visual Analytics Dashboard. HICSS 2020, 53rd Hawaii International Conference on System Sciences, pp. 1320-1329. HICSS. 2020.

Suschnigg, J., Mutlu, B., Fuchs, A., Sabol, V., Thalmann, S., and Schreck, T.: Exploration of Anomalies in Cyclic Multivariate Industrial Time Series Data for Condition Monitoring. EDBT/ICDT Workshops 2020. CEUR. 2020.

Vukovic, M., Dhanoa, V., Jäger, M., Walchshofer, C., Küng, J., Krahwinkler, P., Mutlu, B. and Thalmann, S.: A Forecasting Model-Based Discovery of Causal Links of Key Influencing Performance Quality Indicators for Sinter Production Improvement. AISTech 2020, The Association for Iron & Steel Technology (AIST) Conference, pp. 2028-2040. 2020.

Wang, X., Chen, W., Xia, J., Zexian, C., Xu, D., Wu, X., Xu, M., and Schreck, T.: ConceptExplorer: Visual Analysis of Concept Driftsin Multi-source Time-series Data. IEEE VAST 2020, Conference on Visual Analytics Science and Technology, pp. 1-11. IEEE. 2020.

Zia, K. and Ferscha, A.: An Agent-Based Model of Crowd Evacuation: Combining Individual, Social and Technological Aspects. SIGSIM-PADS 2020, 2020 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, pp. 129-140. ACM. 2020.

Talks & Presentations

Ferscha, A.: Cognitive Products. KC-Treffpunkt Digitalisierung #4 (Kunststoff Cluster), Digital. 2020.

Ferscha, A.: Aware Systems: Reversing Interaction Principles. Keynote International Workshop Conference on Digital Intelligence and Aware Systems, Interactive Music Technologies. St. Gilgen, Austria. 2020.

Ferscha, A.: Vortrag “Technology Matters!”. IV OÖ – Industrie im Dialog: Corona als Technologieturbo. Digital. 2020.

Gashi, M. and Vukovic, M.: “Predictive Maintenance in Industrial Setting: A case of a tool supplier in the welding industry – GuFeSc” & “Data Analytics in Production Environment – SINPRO”. Gastvortrag “Data-Driven Decision Support” (Elektronische Geschäftsmodelle und Digitale Ökonomie). Business Analytics and Data Science-Center, Graz, Austria. 2020.


Ivanov,  H., Leitgeb, E., Kraus, D., Marzano, F., Jurado-Navas, A., Dorenbos, S., Perez-Jimenez, R., and Freiberger, G.: Free Space Optics System Reliability in Presence of Weather-Induced Disruptions. Bookchapter @ Guide to Disaster-Resilient Communication Networks, pp. 327-351. Springer. 2020.

Schöffmann, W., Brillinger, M., Ratasich, M., de Madinabeitia Merino, I.G., Bachinger, M., Yolga, M., Schiffbänker, P., Braun, A., Berg, F., and Rechberger J.: Technical Challenges in Automotive Powertrain Engineering. Bookchapter @ Systems Engineering for Automotive Powertrain Development, pp. 1-27. Springer, Cham. 2020.

Technical Reports, Patents & Posters

Ferscha, A.: Pro²Future: Human Intelligence trifft auf Artificial Intelligence. MC report (Mechatronik Cluster). Business Upper Austria. 2020.

Gashi, M., Mutlu, B., Suschnigg, J., Ofner, P., Pichler, S., and Schreck, T.: Interactive Visual Exploration of defect prediction in industrial setting through explainable models based on SHAP values. Poster @ IEEE VIS 2020. Online. 2020

Awards & Honors

Brillinger, M.: Best Presentation Award “Additive manufacturing of salt hydrates: Primary process parameters and case study”. ICMEP 2020.

Brillinger, M.: Best Paper Award “Non Newtonian material behaviour in extrusion based 3D printing: Investigation of critical process parameters”. MCM 2020.

Ferscha, A.: Presidency of the ÖWGP. Austria. 2020.

Finished Master Theses

Bjetak, Richard: Data Analysis of Embedded Systems

Tupe, Disha: Injection molding simulations for virgin and recycled Polypropylene

Wuwer, Marcel: Vorhersage des Energieverbrauchs von CNC-Maschinen mittels Machine Learning

Finished Bachelor Theses

Freiseisen, Lukas: Visualization of Network Communication within Distributed Systems

Finished Habilitations

Saukh, Olga: Towards Embedded Intelligence in IoT Systems

Weichhart, Georg: Interoperabilität dynamischer Unternehmenssysteme: Aktivierung der komplexen, adaptiven Natur von Unternehmen als Systeme

Grosinger, Jasmin: Radio Frequency and Microwave Engineering (Hochfrequenztechnik)