Peer-Reviewed Scientific Journal Paper
Abdul Hadi, M., Kraus, D., Kajmakovic, A., Suschnigg, J., Guiza, O., Gashi, M., Sopidis, G., Vukovic, M., Milenkovic, K., Haslgrübler, M., Brillinger, M., and Diwold, K.: Towards Flexible and Cognitive Production – Addressing the Production Challenges. Journal MDPI Applied Sciences, Volume 12, Issue 17, ArticleNo. 8696. MDPI. 2022. https://doi.org/10.3390/app12178696
Albrecht, H., Roland, W., Fiebig, C., and Berger-Weber, G.: Multi-Dimensional Regression Models for Predicting the Wall Thickness Distribution of Corrugated Pipes. Journal MDPI Polymers, Volume 14, Issue 17, ArticleNo. 3455. MDPI. 2022. https://doi.org/10.3390/polym14173455
Azadi, B., Haslgrübler, M., Anzengruber-Tanase, B., Grünberger, S., and Ferscha, A.: Alpine Skiing Activity Recognition Using Smartphone’s IMUs. Journal MDPI Sensors, Volume 22, Issue 15, ArticleNo. 5922. MDPI. 2022. https://doi.org/10.3390/s22155922
Deshpande, K., Möhl, P., Hämmerle, A., Weichhart, G., Zörrer, H., and Pichler, A.: Energy Management Simulation with Multi-Agent Reinforcement Learning: An Approach to Achieve Reliability and Resilience. Journal MDPI Energies, Volume 15, Issue 19, ArticleNo. 7381. MDPI. 2022. https://doi.org/10.3390/en15197381
Dhanoa, V., Walchshofer, C., Hinterreiter, A., Stitz, H., Gröller, E., and Streit, M.: A Process Model for Dashboard Onboarding. Journal Computer Graphics Forums (Special Issue from EuroVIS2022), Volume 41, Issue 3, pp. 501-513. Wiley. 2022. https://doi.org/10.1111/cgf.14558
Eckelt, K., Hinterreiter, A., Adelberger, P., Walchshofer, C., Dhanoa, V., Humer, C., Heckmann, M., Steinparz, Christian and Streit, M.: Visual Exploration of Relationships and Structure in Low-Dimensional Embeddings. IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG). IEEE. 2022. https://doi.org/10.1109/TVCG.2022.3156760
Eirich, J., Koutroulis, G., Mutlu, B., Jäckle, D., Kern, R., Schreck, T., and Bernard, J.: ManEx: The Visual Analysis of Measurements for the Assessment of Errors in Electrical Engines. IEEE Computer Graphics and Applications (IEEE CGA). IEEE. 2022. www.doi.org/10.1109/MCG.2022.3155306
Gao, H., Kuang, H., Ma, X., Hu, H. Lü, J., Mäder, P. and Egyed, A.: Propagating frugal user feedback through closeness of code dependencies to improve IR-based traceability recovery. International Journal on Empirical Software Engineering, Volume 27, ArticleNo. 41, Springer. 2022. https://doi.org/10.1007/s10664-021-10091-5
Gashi, M., Vukovic, M., Jekic, N., Holzinger, A., Jean-Quartier, C., Jeanquartier, F., and Thalmann, S.: State-of-the-Art Explainability methods with focus on Visual Analytics showcased by Glioma Classification. Journal of BioMedInformatics, Volume 2, pp. 139-158. MDPI. 2022. https://doi.org/10.3390/biomedinformatics2010009
Gashi, M., Gursch, H., Hinterbichler, H., Pichler, S., Lindstaedt, S., and Thalmann, S.: MEDEP: Maintenance event detection for multivariate timeseries based on the PELT approach. Journal MDPI Sensors, Volume 2, Issue 8, ArticleNo. 2837. MDPI. 2022. https://doi.org/10.3390/s22082837
Hammer, A., Roland, W., Zacher, M., Kohl, S., and Berger-Weber, G.: Experimental validation of non-Newtonian stratified co-extrusion prediction models using a digital process twin. Journal Polymer Engineering and Science, pp. 1-21. Wiley. 2022. https://doi.org/10.1002/pen.26147
Kajmakovic, A., Diwold, K., Römer, K., Pestana, J., and Kajtazovic, N.: Degradation Detection in a Redundant Sensor Architecture. MDPI Journal Sensors, Volume 22, Issuse 12, ArticleNo. 4649. MDPI. 2022. https://doi.org/10.3390/s22124649
Koh, E., Blumenschein, M., Shao, L., and Schreck, T.: Reordering Sets of Parallel Coordinates Plots to Highlight Differences in Clusters. Journal of EuroVis Workshop on Visual Analytics (EuroVA) 2022. The Eurographics Association. 2022. https://doi.org/10.2312/eurova.20221080
Koutroulis, G., Mutlu, B., and Kern, R.: Constructing Robust Health Indicators from Complex Engineered Systems via Anticausal Learning. Journal of Engineering Applications of Artificial Intelligence, Volume 113, ArticleNo. 104926. Elsevier. 2022. https://doi.org/10.1016/j.engappai.2022.104926
Koutroulis, G., Mutlu, B., and Kern, R.: A Causality-inspired Approach for Anomaly Detection in a Water Treatment Testbed. Journal MDPI Sensors, Special Issue “Artificial Intelligence and Machine Learning for Detection of Advanced Cyber Attacks”, Volume 23, Issue 1, ArticleNo. 257. MDPI. 2022. https://doi.org/10.3390/s23010257
Kraus, D., Diwold, K., Pestana, J., Priller, P., and Leitgeb, E.: Towards a Recommender System for In-Vehicle Antenna Placement in Harsh Propagation Environments. Journal MDPI Sensors, Volume 22, Issue 17, ArticleNo. 6339. MDPI. 2022. https://doi.org/10.3390/s22176339
Lovric, M., Antunović, M., Šunić, I., Vuković, M., Kecorius, S., Kröll, M., Bešlić, I., Godec, R., Pehnec, G., Geiger, B.C., Grange, S.K., and Šimić, I.: Machine Learning and Meteorological Normalization for Assessment of Particulate Matter Changes during the COVID-19 Lockdown in Zagreb, Croatia. International Journal of Environmental Research and Public Health. Volume 19, Issue 11, ArticleNo. 6937. MDPI. 2022. https://doi.org/10.3390/ijerph19116937
Marchezan, L., Kretschmer, R., Assuncao, W.K.G, and Egyed, A.: Generating repairs for inconsistent models. Journal of Software and Systems Modeling, Volume 22, pp. 297-329. Springer. 2022. https://doi.org/10.1007/s10270-022-00996-0
Michelon, G.K., Obermann, D., Assuncao, W.K.G., Linsbauer, L., Grünbacher, P., Fischer, S., Lopez-Herrejon, R.E., and Egyed, A.: Evolving software system families in space and time with feature revisions. Journal of Empirical Software Engineering, Volume 27, ArticleNo. 112. Springer. 2022. https://doi.org/10.1007/s10664-021-10108-z
Moerth-Teo, O., Schlögl, G., Abdul Hadi, M., Brillinger, M., Weinzerl, M., and Ramsauer, C.: Production Resource Flexibility Assessment: Case Studies in the Automotive Industry. Journal Management and Production Engineering Review, Volume 13, Issue 3, pp. 20-29. MPER. 2022. https://doi.org/10.24425/mper.2022.142379
Rathner, R., Leimhofer, C., Roland, W., Hammer, A., Löw-Baselli, B., Steinbichler, G., and Hild, S.: Improving Layer Adhesion of Co-Extruded Polymer Sheets by Inducing Interfacial Flow Instabilities. Journal Polymers, Volume 14, Issue 3, ArticleNo. 587. MDPI. 2022. https://doi.org/10.3390/polym14030587
Roland, W., Hammer, A., Leimhofer, C., Kapshammer, A., and Hild, S.: Application of a novel Testing Device to Characterize the Layer Adhesion of Co-extruded Polymer Sheets. Journal Materials Today, Volume 62, Part 5, pp. 2652-2657. Elsevier. 2022. https://doi.org/10.1016/j.matpr.2022.05.140
Roland, W., Stritzinger, U., Albrecht, H., Löw-Baselli, B., and Berger-Weber, G.: Symbolic Regression Model for the Drag-Flow Capacity of Co-Rotating Twin-Screw Extruder Kneading Blocks. Elsevier ScienceDirect IFAC-PapersOnline, Part of Special Issuse of 10th Vienna International Conference on Mathematical Modelling MATHMOD 2022, Volume 55, Issue 20, pp. 121-126. Elsevier. 2022. https://doi.org/10.1016/j.ifacol.2022.09.082
Schwarzinger, K. and Schlacher, K.: A Smart Sensor for the Heat Flow of an Extruder. Elsevier ScienceDirect IFAC-PapersOnline, Part of Special Issuse of 10th Vienna International Conference on Mathematical Modelling MATHMOD 2022, Volume 55, Issue 20, pp. 127-132. Elsevier. 2022. https://doi.org/10.1016/j.ifacol.2022.09.083
Schwarzinger, K. and Schlacher, K.: Temperature Management for a Model Predictive Controlled Extruder. Elsevier ScienceDirect IFAC-PapersOnline, Part of Special Issuse of 10th Vienna International Conference on Mathematical Modelling MATHMOD 2022, Volume 55, Issue 20, pp. 115-120. Elsevier. 2022. https://doi.org/10.1016/j.ifacol.2022.09.081
Schwarzinger, K. and Schlacher, K.: Modellprädikative Temperaturregelung eines Extruders. at – Automatisierungstechnik, Methoden und Anwendungen der Steuerungs-, Regelungs- und Informationstechnik, Volume 70, Issue 8, pp. 719-729. DeGruyter. 2022. https://doi.org/10.1515/auto-2022-0024
Stoiber, C., Ceneda, D., Wagner, M., Schetinger, V., Gschwandtner, T., Streit, M., Miksch, S., and Aigner, W.: Perspectives of Visualization Onboarding and Guidance in VA. Elsevier Journal of Visual Informatics, Volume 6, Issue 1, pp. 68-83. Elsevier. 2022. https://doi.org/10.1016/j.visinf.2022.02.005
Stoiber, C., Walchshofer, C., Pohl, M., Potzman, B., Grassinger, F., Stitz, H., Streit, M., and Aigner, W.: Comparative evaluations of visualization onboarding methods. Elsevier Journal of Visual Informatics, Volume 6, Issue 4, pp. 34-50. Elsevier. 2022. https://doi.org/10.1016/j.visinf.2022.07.001
Stritzinger, U., Roland, W., Berger-Weber, G., and Steinbichler, G.: Modeling melt conveying and power consumption of co-rotating twin-screw extruder kneading blocks: Part A. Data generation. Journal Polymer Engineering & Science, Volume 62, Issue 11, pp. 3721-3745. Wiley Online Library. 2022. https://doi.org/10.1002/pen.26140
Stritzinger, U., Roland, W., Berger-Weber, G., and Steinbichler, G.: Modeling melt conveying and power consumption of co-rotating twin-screw extruder kneading blocks: Part B. Prediction Models. Journal Polymer Engineering & Science, Volume x, Issue x, pp. x-x. Wiley Online Library. 2022. https://doi.org/10.1002/pen.26249
Tröls, M.A., Marchezan, L., Mashkoor, A., and Egyed, A.: Instant and global consistency checking during collaborative engineering. Journal of Software and Systems Modeling, Volume 21, pp. 2489-2515. Springer. 2022. https://doi.org/10.1007/s10270-022-00984-4
Vukovic, M., and Thalmann, S.: Causal Discovery in Manufacturing: A Structured Literature Review. Journal of Manufacturing and Materials Processing, Volume 6, Issue 1, ArticleNo. 10. MDPI. 2022. https://doi.org/10.3390/jmmp6010010
Scientific Journal Paper
Haslgrübler, M., Jäger, M., Kolb, A.: KI verhindert Arbeitsunfälle. derStandard JUST Science Magazin. 2022. https://www.just-magazin.com/science/ki-traegt-zur-unfallpraevention-am-arbeitsplatz-bei/
Mayrhofer, M., Jäger, M., Kolb, A.: Kognitive “Prototypen-Fabrik” ermöglicht flexible Produktionsanlagen. derStandard JUST Science Magazin. 2022. https://www.just-magazin.com/science/kognitive-prototypen-fabrik-ermoeglicht-flexible-produktionsanlagen/
Mutlu, B., Jäger, M., Kolb, A.: Mensch und KI sollen besser zusammenarbeiten. derStandard JUST Science Magazin. 2022. https://www.just-magazin.com/science/mensch-und-ki-sollen-besser-zusammenarbeiten/
Krisper, M., Jäger, M., Kolb, A.: Bei Testfahrten zeichnet nur noch das “Edge-Device” auf. derStandard JUST Science Magazin. 2022. https://www.just-magazin.com/science/bei-testfahrten-zeichnet-nur-noch-das-edge-device-daten-auf/
Roland, W., Jäger, M., Kolb, A.: Merschicht-Polymere. derStandard JUST Science Magazin. 2022. https://www.just-magazin.com/science/mehrschicht-polymere/
Brillinger, M., Jäger, M., Kolb, A.: Energie für Bauteile schon bei der Konstruktion sparen. derStandard JUST Science Magazin. 2022. https://www.just-magazin.com/science/energie-fuer-bauteile-schon-bei-konstruktion-sparen/
Peer-Reviewed Conference Paper
Albrecht, H., Roland, W., Fiebig, C., and Berger-Weber, G.: Simulation-driven mold geometry optimization for corrugated pipe extrusion – Maximum strength with minimum material input. PPS-37, 37th International Conference of the Polymer Processing Society, AIP Conference Proceedings, Volume 2884, Issue 1, AIP. 2022. DOI: https://doi.org/10.1063/5.0168244
Anzengruber-Tanase, B., Sopidis, G., Haslgrübler, M., and Ferscha, A.: Determining Best Hardware, Software and Data Structures for Worker Guidance during a Complex Assembly Task. PETRA 2022, 15th International Conference on PErvasive Technologies Related to Assistive Environments, pp. 63-72. ACM. 2022. https://doi.org/10.1145/3529190.3529200
Batista Ribeiro, L., Nagarajan, D., Manjunath, V., Ali Ahmad, M. T., and Baunach, M.: Verifying Liveness and Real-Time of OS-Based Embedded Software. Euromicro DSD 2022, 25th Euromicro Conference on Digital System Design, pp. 679-688. IEEE. 2022. https://doi.org/10.1109/DSD57027.2022.00096
Botler, L., Gashi, M., Diwold, K., Römer, K.: Poster Abstract: Machine Learning-based Models for Phase-Difference-of-Arrival Measurements Using Ultra-Wideband Transceivers. ISPN 2022, 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, pp. 517-518. IEEE. 2022. https://doi.org/10.1109/IPSN54338.2022.00059
Gashi, M., Botler, L., Koutroulis, G., Diwold, K.: Accurate and Efficient Hybrid Indoor Localization using ML Methods. ISPN 2022, 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, pp. 523-524. IEEE. 2022. https://doi.org/10.1109/IPSN54338.2022.00062
Gashi, M., Mutlu, B., Lindstaedt, S., and Thalman, S.: No time to crash: Visualizing Interdependencies for optimal maintenance scheduling. Cognitive 2022, 14th International Conference on Advanced Cognitive Technologies and Applications, pp. 11-16. IARIA. 2022. https://www.thinkmind.org/download.php?articleid=cognitive_2022_1_20_40013
Gashi, M., Mutlu, B., Lindstaedt, S., and Thalmann, S.: Decision support for Multi-component Systems: Visualizing interdependencies for predictive maintenance. HICSS 2022, 55th Hawaii International Conference on System Sciences, pp. 1706-1715. HICSS. 2022. http://doi.org/10.24251/HICSS.2022.211
Guiza, O., Mayr-Dorn, C., Mayrhofer, M., Egyed, A., Rieger, H., and Brandt, F.: Assembly Precedence Graph Learning based on Historical Data. IEEE ICIT 2022, IEEE International Conference on Industrial Technology, Shanghai, pp. 1-7. IEEE. 2022. https://doi.org/10.1109/ICIT48603.2022.10002729
Laube, M., Haslgrübler, M., Azadi, B., Anzengruber-Tanase, B, and Ferscha, A.: Skill Level Detection in Arc Welding towards an Assistance System for Workers. PETRA 2022, 15th International Conference on PErvasive Technologies Related to Assistive Environments, pp. 73-82. ACM. 2022. https://doi.org/10.1145/3529190.3529206
Lovric, M., Antunović, M., Šunić, I., Vuković, M., Kecorius, S., Kröll, M., Bešlić, I., Šimić, I., and Pehnec, G.: Insignificant changes in particulate matter concentrations during the COVID-19 lockdown: A long-term study based on Random Forests and meteorological normalization in Zagreb, Croatia. ICEPTP22, 7th International Conference on Environmental Pollution, Treatment and Protection, ArticleNo. 187. ICEPTP. 2022. https://doi.org/10.11159/iceptp22.187
Marchezan, L., Assuncao, W.K.G., Kretschmer, R., and Egyed, A.: Change-Oriented Repair Propagation. ICSSP 22, International Conference on Software and System Processes and International Conference on Global Software Engineering, pp. 76-86. ACM. 2022. https://doi.org/10.1145/3529320.3529330
Marchezan, L., Assuncao, W.K.G., Michelon, G., Herac, E., and Egyed, A.: Code smell analysis in cloned Java variants: the apo-games case study. SPLC 22 – 26th ACM International System and Software Product Line Conference, pp. 250-254. ACM. 2022. https://doi.org/10.1145/3546932.3547015
Ratiu, C.C., Assuncao, W.K.G., Haas, R., and Egyed, A.: Reactive links across multi-domain engineering models. MODELS 22, 25th International Conference on Model Driven Engineering Languages and Systems, pp.76-86. ACM. 2022. https://doi.org/10.1145/3550355.3552446
Rodrigues, N., Shao, L., Yan, J.J., Schreck, T., and Weiskopf, D.: Eye Gaze on Scatterplot: Concept and First Results of Recommendations for Exploration of SPLOMs Using Implicit Data Selection. ETRA 2022, Symposium on Eye Tracking Research and Application, ArticleNo. 59, pp. 1-7. ACM. 2022. https://doi.org/10.1145/3517031.3531165
Schobesberger, M., Huber, J., Haslgrübler, M., Grünberger, S., Hochreiter, D., Ferscha A., Effenberger, G., and Malisa, V.: A Survey on Safety II in Assistance Systems for Industrial Domains: State-of-the-Art, Advantages, Challenges, Recommendations. WOS 2022 – 11th International Conference on Working on Safety – Focus on Humans in a Technological World, Book of Abstracts. Universidade do Minho. 2022. ISBN: 978-989-54863-3-5
Schobesberger, M., Huber, J., Grünberger, S., Haslgrübler, M., and Ferscha, A.: Designing Proactive Safety Systems for Industrial Workers Using Intelligent Mechanisms. PETRA 2022, 15th International Conference on PErvasive Technologies Related to Assistive Environments, pp. 103-112. ACM. 2022. https://doi.org/10.1145/3529190.3534775
Sopidis, G., Haslgrübler, M., Azadi, B., Anzengruber-Tanase, B., Abdelrahman, A., Ferscha, A., and Baresch, M.: Micro-activity recognition in industrial assembly process with IMU data and deep learning. PETRA 2022, 15th International Conference on PErvasive Technologies Related to Assistive Environments, pp. 103-112. ACM. 2022. https://doi.org/10.1145/3529190.3529204
Santellani, E., Sormann, C., Rossi, M., Kuhn, A., and Fraundorfer, F.: MD-Net: Multi-Detector for Local Feature Extraction. ICPR2022, 26th International Conference on Pattern Recognition, pp. 3944-3951. IEEE. 2022. https://doi.org/10.1109/ICPR56361.2022.9956504
Stritzinger, U., Roland, W., Albrecht, H., Berger-Weber, G., and Steinbichler, Georg.: Conveying Characteristics of Co-Rotating Twin-Screw Extruder Kneading Blocks – Comparison of Various Modeling Approaches. 2nd International Symposium on Plastics Technology, pp. TBA, AIP. 2022. DOI: TBA
Stritzinger, U., Roland, W., Wolf, S., Albrecht, H., Berger-Weber, G., and Steinbichler, G.: A Global Model for Fully-Intermeshing Co-Rotating Twin Screw Extruders using Novel Conveying Parameters. PPS-37, 37th International Conference of the Polymer Processing Society, pp. TBA, AIP. 2022. DOI: TBA
Vukovic, M., Bettinger, D., Koutroulis, G., Krahwinkler, P., Mutlu, B., Schaler, M., Tauber, C., and Thalmann, S.: Interpretable Deep Learning Techniques and Meta Information for Automated Decision Making in Ironmaking Plants. AISTech 2022, Iron & Steel Technology Conference and Exposition. AIST. 2022. https://doi.org/10.33313/386/016
Zacher, M., Roland, W., Löw-Baselli, B., Berger-Weber, G., and Steinbichler, G.: A Network-Theory Based Approach Predicting the Flow of Barrier Screws in Combination with Grooved Plasticizing Barrels. PPS-37, 37th International Conference of the Polymer Processing Society, AIP Conference Proceedings, Volume 2884, Issue 1, AIP. 2022. DOI: https://doi.org/10.1063/5.0176813
Talks & Presentations
Brillinger, M.: Sustainable Production Systems – Game Changers from Augmented Reality to Zero-Defect Manufacturing. Keynote @ EAI MMS 2022 – 7th EAI International Conference on Management of Manufacturing Systems. Poland. 2022.
Brillinger, M.: Subcooled Liquid Printing – How to Increase Profitability of Additive Manufacturing by Scales? Keynote @ MSE 2022 – 6th International Conference on Material Science & Engineering. Dubai. 2022.
Ferscha, A.: Produkte mit kognitiven Fähigkeiten – Miniaturisierte, eingebettete KI. Keynote @ OÖ Zukunftsforum, voestalpine Stahlwelt, Linz. 2022.
Ferscha, A.: Tiny Embedded Intelligence – Heavily Resource Restricted AI. Keynote @ NEXTGEN TRAINING TECHNOLOGIES – Industrial Conference. Vienna. 2022.
Ferscha, A.: Industrial Innovation Post Digitalisation. Keynote @ ISM 2022 – International Conference on Industry 4.0 and Smart Manufacturing. Hagenberg. 2022.
Ferscha, A.: Können Maschinen denken? Keynote @ A1 OneTEC Future Shots. Vienna. 2022.
Ferscha, A., and Pollak, C.: Nachhaltige Produktion. Keynote @ Intertool (Fachmesse für Fertigungstechnik). Wels. 2022.
Manjunath, V.: Formal Modeling and Verification of Low-Level OS Code using Abstract Interpretation. Fachgruppe Betriebssysteme, Frühjahrstreffen 2022. Hamburg. 2022
Prechtl, M.: Axial Torque Measurement in Single-Screw Extrusion. “Treffpunkt Extrusion”, Kunststoff-Cluster. Linz. 2022.
Schreck, T.: Visual Analytics for Industrial Production Data. Keynote @ Sino-European Workshop Series on Visualization. USA. 2022.
Bookchapters
Anslinger, J., Huber, J., Haslgrübler, M., and Thaler, A.: Verantwortungsvolle Einbindung von KI-Assistenzsystemen am Arbeitsplatz. Ein Handbuch für Arbeitnehmende und ihre Vertretung. VEKIAA. 2022. https://www.doi.org/10.17605/OSF.IO/98B4H
Brillinger, M.: Smarte Elemente als Grundlage flexibler Produktionssysteme. Erfolgsstories der Digitalisierung – Good Practices für die digitale Transformation, pp. 140-143. DMVS/ASMET. 2022. ISBN 978-3-200-08038-6
Diwold, K.: Bewusstsein in Automatisierungssystemen. Erfolgsstories der Digitalisierung – Good Practices für die digitale Transformation, pp. 130-133. DMVS/ASMET. 2022. ISBN 978-3-200-08038-6
Gehring, N.: A Systematic Backstepping Design of Tracking Controllers for ODE-PDE-ODE Systems with Nonlinear Actuator Dynamics. Advances in Distributed Parameter Systems, Advances in Delays and Dynamics, Volume 14, pp. 171-196. Springer. 2022. https://doi.org/10.1007/978-3-030-94766-8_8
Irscheid, A., Gehring, N., Deutscher, J., and Rudolph, J.: Tracking Control for 2×2 Linear Heterodirectional Hyperbolic PDEs that Are Bidirectionally Coupled with Nonlinear ODEs. Advances in Distributed Parameter Systems, Advances in Delays and Dynamics, Volume 14, pp. 117-142. Springer. 2022. https://doi.org/10.1007/978-3-030-94766-8_6
Technical Reports, Patents & Posters
Albrecht, H., Roland, W., Löw-Baselli, B., Fiebig, C., Berger-Weber, G., and Steinbichler, G.: Wellrohrproduktion. Poster @ LIT Factory Symposium 2022. JKU. 2022.
Zacher, M., Roland, W., Hammer, A., Löw-Baselli, B., Berger-Weber, G., and Steinbichler, G.: Coextrusions Blasformen. Poster @ LIT Factory Symposium 2022. JKU. 2022.
Awards & Honors
Anzengruber-Tanase, B., Sopidis, G., Haslgrübler, M., and Ferscha, A.: Best Technical Paper Award “Determining Best Hardware, Software and Data Structures for Worker Guidance during a Complex Assembly Task“. PETRA 2022.
Gashi, M., Mutlu, B., Lindstaedt, S., and Thalman, S.: Best Paper Award “No time to crash: Visualizing Interdependencies for optimal maintenance scheduling“. COGNITIVE 2022.
Ratiu, C.C., Assuncao, W.K.G., Haas, R., and Egyed, A.: Best Paper Award “Reactive links across multi-domain engineering models“. MODELS 2022.
Suschnigg, J., Mutlu, B., Koutroulis, G., Thalmann, S., Sabol, V., and Schreck, T.: Fraunhofer IDG and Visual Computing Groups of TU Darmstadt Honorable Mentions of BigDataResearch JOURNAL 2021 “Visual Exploration of Anomalies in Cyclic Time Series Data with Matrix and Glyph Representations“. 2022.
Finished PhD Theses
Gashi, Milot: Taking a Multi-Component Perspective to provide Decision Support for Predictive Maintenance
Haslgrübler-Huemer, Michael: Skill Recognition in Industrial Production
Prechtl, Maximilian: Axial Torque Measurement in Single-Screw Extrusion
Hammer, Alexander: A Hybrid Framework to Investigate Selected Interfacial Phenomena in Plastics Co-Extrusion
Stritzinger, Ursula: Modeling Conveying and Power-Consumption Behavior of Fully Intermeshing Co-Roating Twin-Screw Extruders
Finished Master Theses
keine
Finished Bachelor Theses
Schalk, Gerolf: Einfluss von Lagefehlern bei Wälzlagerungen
Zeilinger, Hannah: Experimentelle Untersuchungen an Einschneckenextrudern und Materialcharakterisierung mittels unterschiedlicher Prüfmethoden
Smajic, Benjamin: Abschätzung des Energieverbrauchs für spanabhebende Fertigungsverfahren
Manfredi, Samuel: Development of an adaptive machine-assisted assembly station
Louis, Patrick: Semantic Zooming for Visual Analysis of Time Series Data
Finished Habilitations
keine