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. https://doi.org/10.1111/cgf.14017

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. https://doi.org/10.1016/j.eswa.2019.112874

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. https://doi.org/10.1016/j.envpol.2020.115900

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. https://doi.org/10.3390/polym12091900

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. https://doi.org/10.1111/cgf.14035

Gehring, N.: Ein systematischer Backstepping-Zugang zur Regelung gekoppelter ODE-PDE-ODE-Systeme. at – Automatisierungstechnik, Volume 68, No. 8, pp. 654-666. DeGruyter. 2020. https://doi.org/10.1515/auto-2020-0030

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. https://doi.org/10.1007/978-3-030-34272-2_23

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. https://doi.org/10.1145/3389189.3397976

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. https://doi.org/10.1145/3407023.3407054

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. https://doi.org/10.5220/0010282200070014

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. https://doi.org/10.1109/MASS50613.2020.00016

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. https://doi.org/10.1051/e3sconf/202016202003

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. https://doi.org/10.1007/978-3-030-44322-1_3

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. https://doi.org/10.1109/ICIT45562.2020.9067226

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. https://doi.org/10.1007/978-3-030-63924-2_5

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. https://doi.org/10.1109/CW49994.2020.00021

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. https://doi.org/10.5220/0010142902690276

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. https://doi.org/10.1109/CoBCom49975.2020.9174177

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. https://doi.org/10.1145/3379177.3388900

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. https://doi.org/10.1145/3377812.3382141

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. https://doi.org/10.1109/ETFA46521.2020.9212013

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. https://doi.org/10.1109/VIS47514.2020.00065

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. https://doi.org/10.1109/ETFA46521.2020.9211982

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. http://www.doi.org/10.24251/HICSS.2020.163

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. http://www.doi.org/10.33313/380/218

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. https://doi.org/10.1109/VAST50239.2020.00006

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. http://dx.doi.org/10.1145/3384441.3395973

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.

Bookchapters

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. https://doi.org/10.1007/978-3-030-44685-7_13

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. https://doi.org/10.1007/978-3-319-68847-3_3-1

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

Abdul Hadi, M.: Best Paper Award “Adaptive assembly approach for e-axles”. EAI MMS 2019.

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

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

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

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)