Scientific Journal Paper

Chegini, M., Bernard, J., Berger, P. Sourin, A., Andrews, K., and Schreck, T.: Interactive labelling of a multivariate dataset for supervised machine learning using linked visualisations, clustering, and active learning. Journal Visual Informatics, Volume 3, No. 1, pp. 9-17. Elsevier. 2019. https://doi.org/10.1016/j.visinf.2019.03.002

Furmanova, K., Gratzl, S., Stitz, H., Zichner, T., Jaresova, M., Ennemoser, M.,  Lex, A., and Streit, M.: Taggle: Combining Overview and Details in Tabular Data Visualizations. Journal Information Visualization, Volume 19, No. 2, pp. 114-136. SAGE. 2019. https://doi.org/10.1177%2F1473871619878085

Nobre, C., Streit, M., Meyer, M., and Lex A.: The State of the Art in Visualizing Multivariate Networks. Computer Graphics Forum, Vol. 38, No. 3, pp. 807-832. Wiley. 2019. https://doi.org/10.1111/cgf.13728

Panetto, H., Iung, B., Ivanov, D.A., Weichhart, G., and Wang, X.: Challenges for the cyber-physical manufacturing enterprises of the future. Journal Annual Reviews in Control, Volume 47, pp. 200-2013. Elsevier. 2019. https://doi.org/10.1016/j.arcontrol.2019.02.002

Panetto, H., Weichhart, G., and Pinto, R.: Special section on Industry 4.0: Challenges for the future in manufacturing. Journal Annual Reviews in Control, Volume 47, pp. 198-199. Elsevier. 2019. http://doi.org/10.1016/j.arcontrol.2019.04.002

Weichhart, G., Ferscha, A., Mutlu, B., Brillinger, M., Diwold, K., Lindstaedt, S., Schreck, T., and Mayr-Dorn, C.: Human/machine/roboter: technologies for cognitive processes. Journal e & i Elektrotechnik und Informationstechnik, Volume 136, pp. 313-317. Springer. 2019. https://doi.org/10.1007/s00502-019-00740-5

Brillinger, M.: Neuartiges Verfahren für hohe Bauvolumen. Journal Additive Fertigung, Volume 2, pp. 62-63. x-technik. 2019.

Streit, M., Gratzl, S., Stitz, H., Wernitznig, A., Zichner, T., and Haslinger, C.: Ordino: visual analysis tool for ranking and exploring genes, cell lines, and tissue samples. Journal Bioinformatics, Volume 35, No. 17, pp. 3140-3142. Oxford Academic. 2019. https://doi.org/10.1093/bioinformatics/btz009

Peer-Reviewed Conference Paper

Anzengruber-Tanase, B., Ferscha, A., and Schobesberger, M.: Attention/Distraction Estimation for Surgeons during Laparoscopic Cholecystectomies. ACII 2019, 8th International Conference on Affective Computing and Intelligent Interaction, pp. 1-7. IEEE. 2019. http://dx.doi.org/10.1109/ACII.2019.8925517

Ashraf, U., Mayr-Dorn, C., and Egyed, A.: Mining Cross-Task Artifact Dependencies from Developer Interactions. SANER 2019, 26th IEEE International Conference on Software Analysis, Evolution and Reengineering, pp. 186-196. IEEE. 2019. https://doi.org/10.1109/SANER.2019.8667990

Auer, D., Jäger, M., and Küng, J.: Linking Trust to Cyber-Physical Systems. DEXA 2019, 30th International Conference on Database and Expert Systems Applications, pp. 119-128. Springer, Cham. 2019. https://doi.org/10.1007/978-3-030-27684-3_16

Azadi, B., Haslgrübler, M., Sopidis, G., Murauer, M., Anzengruber, B. and Ferscha, A.: Feasibility analysis of unsupervised industrial activity recognition based on a frequent micro action. PETRA 2019, 12th PErvasive Technologies Related to Assistive Environments Conference, pp. 368-375. ACM. 2019. https://doi.org/10.1145/3316782.3322749

Bjetak, R., Diwold, K., and Kajmakovic, A.: Retrofit: Creating Awareness in Embedded Systems-A Usecase for PLCs. IoT 2019, 9th International Conference on the Internet of Things, pp. 1-4. ACM. 2019. https://doi.org/10.1145/3365871.3365907

Botler, L., Diwold, K., and Römer, K.: We’ve got the power: Overcoming the distance enlargement fraud with wireless power transfer. WPTC 2019, IEEE MTT-S Wireless Power Transfer Conference, pp. 434-439. IEEE, 2019. https://doi.org/10.1109/WPTC45513.2019.9055566

Botler, L., Diwold, K., and Romer, K.: E-SALDAT: Efficient Single-Anchor Localization of Dual-Antenna Tags. WPNC 2019, 16th Workshop on Positioning, Navigation and Communications, pp. 1-6. IEEE. 2019. https://doi.org/10.1109/WPNC47567.2019.8970253

Brillinger, M., Abdul-Hadi, M., Haas, F., and Weinzerl, M.: Adaptive smart assembly concept in e-mobility: a research direction. MIFS 2019, 7th Mediterranean interdisciplinary forum on social sciences and humanities, pp. 1-14. ESI. 2019. https://doi.org/10.19044/esj.2019.v15n33

Brillinger, M., Martinez, J.C., and Schmid, J.: Improving CAD/CAM Process Chains in Forging Industries in the Era of Digitalization Based on a Case Study. MCM 2019, 5th World Congress on Mechanical, Chemical, and Material Engineering. ArticleNo. 121, pp. 1-7. International ASET Inc. 2019. http://www.doi.org/10.11159/icmie19.121

Eckelt, K., Adelberger, P., Zichner, T., Wernitznig, A., and Streit, M.: TourDino: A Support View for Confirming Patterns in Tabular Data. EuroVA 2019, EuroVis Workshop on Visual Analytics, pp. 7.-11. The Eurographics Association. 2019. https://doi.org/10.2312/eurova.20191117

Fernandez-Amoros, D., Heradio, R., Mayr-Dorn, C., and Egyed, A.: A Kconfig translation to logic with one-way validation system. SPLC 2019, 23rd International Systems and Software Product Line Conference, pp. 303-308. ACM. 2019. https://doi.org/10.1145/3336294.3336313

Funk, M., Kritzler, M., Mizutani, I., Mayer, S., and Michahelles, F.: LookUnlock: Using Spatial-Targets for User-Authentication on HMDs. CHI EA 2019, Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, Paper No. LBW0014, pp. 1-6. ACM. 2019. https://doi.org/10.1145/3290607.3312959

Gunawardena, N., Matscheko, M., Anzengruber, B., Ferscha, A., Schobesberger, M., Shamiyeh, A., Klugsberger, B., and Solleder, P.: Assessing Surgeons’ Skill Level in Laparoscopic Cholecystectomy using Eye Metrics. PETRA 2019, 11th ACM Symposium on Eye Tracking Research & Applications, Article No. 30, pp. 1-8. ACM. 2019. https://doi.org/10.1145/3314111.3319832

Gunawardena, N., Matscheko, M., Anzengruber, B., Ferscha, A., Schobesberger, M., Shamiyeh, A., Klugsberger, B., and Solleder, P.: The Effect of Expertise on Gaze Behaviour in Laparoscopic Cholecystectomy. EMBC 2019, 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 7123-7127. IEEE. 2019. https://doi.org/10.1109/EMBC.2019.8857612

Gutschi, C., Furian, N., Suschnigg, J., Neubacher, D. and Voessner, S.: Log-based predictive maintenance in discrete parts manufacturing. CIRP 2019, 12th CIRP Conference on Intelligent Computation in Manufacturing Engineering, pp. 528-533. Elsevier. 2019. https://doi.org/10.1016/j.procir.2019.02.098

Haslgrübler, M., Gollan, B., and Ferscha, A.: Towards Industrial Assistance Systems: Experiences of Applying Multi-sensor Fusion in Harsh Environments. PhyCS 2019, International Conference on Physiological Computing Systems, pp. 158-179. Springer. 2019. https://doi.org/10.1007/978-3-030-27950-9_9

Haslgrübler, M., Gollan, B., Thomay, C., Ferscha, A., and Heftberger, J.: Towards Skill Recognition using Eye-Hand Coordination in Industrial Production. PETRA 2019, 12th PErvasive Technologies Related to Assistive Environments Conference, pp. 11-20. ACM. 2019. https://doi.org/10.1145/3316782.3316784

Heradio, R., Fernandez-Amoros, D., Mayr-Dorn, C., and Egyed, A.: Supporting the Statistical Analysis of Variability Models. ICSE 2019, 41st International Conference on Software Engineering, pp. 843-853. IEEE. 2019. https://doi.org/10.1109/ICSE.2019.00091

Jungwirth, F., Murauer, M., Selymes, J., Haslgrübler, M., Gollan, B., and Ferscha, A.: mobEYEle: an embedded eye tracking platform for industrial assistance. UbiComp 2019 & ISWC2019, ACM International Joint Conference on Pervasive and Ubiquitous Computing & ACM International Symposium on Wearable Computers, pp. 1113-1119. ACM. 2019. https://doi.org/10.1145/3341162.3350842

Kajmaković, A., Diwold, K., Kajtazovic, N., Zupanc, R., and Macher, G.: Flexible Soft error Mitigation Strategy for memories in mixed-critical systems. ISSREW 2019, International Symposium on Software Reliability Engineering, pp. 440-445. IEEE. 2019. https://doi.org/10.1109/ICGSE.2019.00033

Kanakis, G., Fischer, S., Khelladi, D.E., and Egyed, A.: Supporting a flexible grouping mechanism for collaborating engineering teams. ICGSE 2019, ACM/IEEE 14th International Conference on Global Software Engineering, pp. 129-138. IEEE. 2019. https://doi.org/10.1109/ICGSE.2019.00033

Kraus, D., Ivanov, H., and Leitgeb, E.: Novel Optical Network Design for Automotive Applications using ROADMs. ConTEL 2019, 15th International Conference on Telecommunications, pp. 1-6. IEEE. 2019. https://doi.org/10.1109/ConTEL.2019.8848538

Kraus, D., Priller, P., Diwold, K., and Leitgeb, E.: Achieving Robust and Reliable Wireless Communications in Hostile In-Car Environments. IoT 2019, 9th International Conference on the Internet of Things, Article No. 30, pp. 1-4. ACM. 2019. https://doi.org/10.1145/3365871.3365904

Krismayer, T., Mayr-Dorn, C., Tuder, J., Rabiser, R., and Grünbacher, P.: Using constraint mining to analyze software development processes. ICSSP 2019, IEEE/ACM International Conference on Software and System Processes, pp. 94-103. IEEE. 2019. https://doi.org/10.1109/ICSSP.2019.00021

Kuang, H., Gao, H., Hu, H., Ma, X., Lu, J., Mäder, P., and Egyed, A.: Using Frugal User Feedback with Closeness Analysis on Code to Improve IR-Based Traceability Recovery. ICPC 2019, International Conference on Performance Computing, pp. 369-379. IEEE. 2019. https://doi.org/10.1109/ICPC.2019.00055

Macher, G., Diwold, K., Veledar, O., Armengaud, E., and Römer, K.: The Quest for Infrastructures and Engineering Methods Enabling Highly Dynamic Autonomous Systems. EuroSPI 2019, 26th European Conference on Systems, Software and Services Process Improvement, pp. 15-27. Springer. 2019. https://doi.org/10.1007/978-3-030-28005-5_2

Mayrhofer, M., Mayr-Dorn, C.,Zoitl, A., Guiza, O., Weichhart, G., and Egyed, A.: Assessing Adaptability of Software Architectures for Cyber Physical Production Systems. ECSA 2019, 13th European Conference on Software Architecture, pp. 143-158. Springer. 2019. https://doi.org/10.1007/978-3-030-29983-5_10

Milenkovic, K., Mayer, S., Diwold, K., and Zehetner, J.: Enabling Knowledge Management in Complex Industrial Processes Using Semantic Web Technology. TAKE 2019, International Conference on Theory and Applications in the Knowledge Economy. 2019.

Murauer, M., Jungwirth, F., Anzengruber, B., Abbas, A.,Ahmad, A., Azadi, B., Cho, J., Ennsbrunner, H., Ferscha, A., Gerhard, D., Gollan, B., Haslgrübler, M., Selymes, J., Sopidis, G., Stütz, M., and Weißenbach, P.: A Task-Independent Design and Development Process for Cognitive Products in Industrial Applications. PETRA 2019, 12th PErvasive Technologies Related to Assistive Environments Conference, pp. 358-367. ACM. 2019. https://doi.org/10.1145/3316782.3322748

Silva, N., Blaschek, T., Jianu, R., Rodrigues, N., Weiskopf, D., Raubal, M., and Schreck, T.: Eye tracking support for visual analytics systems: Foundations, current applications, and research challenges. ETRA 2019, 11th ACM Symposium on Eye Tracking Research & Applications, ArticleNo. 11, pp. 1-10. ACM. 2019. https://doi.org/10.1145/3314111.3319919

Stoiber, C., Grassinger, F., Pohl, M., Stitz, H., Streit, M., and Aigner, W.: Visualization Onboarding: Learning How to Read and Use Visualizations. IEEE VIS 2019, IEEE Workshop on Visualization for Communication, pp. 1-6. IEEE & OSF Preprints. 2019. https://doi.org/10.31219/osf.io/c38ab

Suschnigg, J., Thalmann, S., Vukovic, M., Ziessler, F., Mangler, J., and Schreck, T.: Understanding Industrial Processes using Process-Driven Visual Analytics. WM 2019, 10. Konferenz Professionelles Wissensmanagement, pp. 303-306. Fachhochschule Potsdam. 2019. https://doi.org/10.34678/opus4-2412

Thalmann, S., Gursch, H., Suschnigg, J., Gashi, M., Ennsbrunner, H., Fuchs, K., Schreck, T., Mutlu, B., Mangler, J., Kappl, G., Huemer, C., and Lindstaedt, S.: Cognitive Decision Support for Industrial Product Life Cycles: A Position Paper. Cognitive 2019, 11th International Conference on Advanced Cognitive Technologies and Applications, pp. 3-9. IARIA. 2019.

Thalmann, S., Vukovic, M., Mangler, J., Huemer, C., Kappl, G., and Lindstaedt, S.: Data Analytics for Process Improvement in Industrial Settings. ECDA 2019, European Conference on Data Analysis, Extended Abstract, pp. 36-37. Universität Beyreuth. 2019.

Thomay, C., Gollan, B., Haslgrübler, M., Ferscha, A., and Heftberger, J.: A multi-sensor algorithm for activity and workflow recognition in an industrial setting. PETRA 2019, 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, pp. 69-76. ACM. 2019. https://doi.org/10.1145/3316782.3321523

Trendafilov, D. and Polani, D.: Information-theoretic Sensorimotor Foundations of Fitts’ Law. CHI 2019, Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, Paper No. LBW2516, pp. 1-6. ACM. 2019. https://doi.org/10.1145/3290607.3313053

Trendafilov, D., Zia, K., Ferscha, A., Abbas, A., Azadi, B., Selymes, J., and Haslgrübler, M.: Cognitive Products: System Architecture and Operational Principles. Cognitive 2019, 11th International Conference on Advanced Cognitive Technologies and Applications, pp. 62-71. IARIA. 2019.

Vuković, M., Kittl, C., Mangler, J.,and Thalmann, S.: An Approach for Secure Data Transmission in a Distributed Production Environment. BLED 2019, 32nd Bled eConference. AISEL. 2019.

Zia, K., Ferscha, A., and Trendafilov, D.: Importance of Coordination and Cultural Diversity for an Efficient and Flexible Manufacturing System. Cognitive 2019, 11th International Conference on Advanced Cognitive Technologies and Applications, pp. 28-31. IARIA. 2019.

Zia, K., Ferscha, A., and Trendafilov, D.: Conceptualization of Cultural Diversity for Efficient and Flexible Manufacturing Systems of the Future. CogSci 2019, 41st Annual Meeting of the Cognitive Science Society, pp. 1290-1295. CogSci. 2019.

Talks & Presentations

Diwold, K.: Reaching Industrial Standards: The Quest For a Dependable Internet of Things. Research Journal of Graz University of Technology #22. 2019

Ferscha, A.: T12 / T22 = a13 /a23. Jubiläumssymposium 400 Jahre Keplers Buch, Linz, Austria. 2019. 

Ferscha, A.: Ich bitte um Ihre Aufmerksamkeit! Wahrnehmungsgesteuerte Selbstanpassung zukünftiger IT-basierter Produktionssysteme. Keynote Production & IT Conference in Linz, Austria. 2019.

Ferscha, A.: Cognitive IT: The Dawn of the Age of Machine Thinking. Keynote ComputationWorld 2019, Venice, Italy. 2019.

Ferscha, A.: Cognitive Load in Laparoscopic Surgery. 5. Kepler Science Day am Kepler Universitätsklinikum, Linz, Austria. 2019.

Ferscha, A.: Cognitive Systems in Industry. ÖWGP Tagung 2019, Vienna, Austria. 2019.

Haas, F., Brillinger, M., and Eisele, P.S.: Die Zukunft der Fertigungstechnik – E-Achse, Batteriesysteme, Brennstoffzelle & Co. Tooling Days, Kapfenberg, Austria. 2019.

Roland, W.: Ein hybrider Modellierungsansatz in der Kunststoffverarbeitung. LIT Factory ditiTea(m)-Time, Linz, Austria. 2019.

Weichhart, G.: Mensch/Maschine/Roboter: Technologien für Kognitive Prozesse. IT-Kolloquium 2019 Intelligente Roboter, Vienna, Austria. 2019.

Bookchapters

Brillinger, M.: 3D-Druck von Natriumacetat-Trihydrat (Auszüge aus der Dissertation). pp. 1-108. SVH Verlag. 2019. ISBN 978-3-8381-5241-7

Technical Reports, Patents & Posters

Bloder, M., Brillinger, M., Bader, M., Ratasich, M., Kopsch, P, and Hick H.: AXIALFLUSSMASCHINE – Neuartiges Motorkonzept verbessert Umweltbilanz von Elektroantrieben. Poster @ IONICA 2019, Zell am See, Austria. 2019.

Brillinger, M., Abdul Hadi, M., Haas, F., Weinzerl, M.: Low-Cost E Mobility: Cost Reduction Through New Approaches in Production. Poster @ MIFS 2020 – 7th Mediterranean Inderdisciplinary Forum on Social Sciences and Humanities, Barcelona, Spain. 2019.

Brillinger, M., Abdul Hadi, M., Haas, F., Weinzerl, M.: LEISTBARE E-MOBILITÄT – Kostensenkung durch neue Ansätze in der Produktion. Poster @ IONICA 2019, Zell am See, Austria. 2019.

Brillinger, M.: 3D-Druck von Natriumacetat-Trihydrat: produktiv, einfach, ressourcenschonend. Poster @ PEG – Production Engineering Graz, Austria. 2019.

Jekic, N., Mutlu, B., Faschang, M., Neubert, S., Thalmann, S., and Schreck, T.: Visual Analysis of Aluminum Production Data with Tightly Linked Views. Poster @ EuroVis 2019, Porto, Portugal. 2019.

Stoiber, C., Grassinger, F., Pohl, M., Stitz, H., Streit, M., and Aigner, W.: Visualization Onboarding: Learning How to Read and Use Visualizations. Poster @ IEEE VIS 2019 Application Spotlight Workshop. IEEE. 2019.

Awards & Honors

Abdul Hadi, M.: Best Paper Award “Adaptive Assembly Approach for E-Axles”. MMS2019 & MobilityIoT 2019.

Brillinger, M. and Bloder, M.: Best Poster Award “Axialflussmaschine – Neuartiges Motorkonzept verbessert Umweltbilanz von Elektroantrieben”. IONICA 2019.

Kraus, D.: Forschungspreis 2018 “Informationstechnologie” für die Masterarbeit “Approach for a novel optical network design for future automotive applications”. Österreichische Bundeskammer der ZiviltechnikerInnen. 2019.

Kraus, D.: Best Paper Award “Achieving Robust and Reliable Wireless Communications in Hostile In-Car Environments”. IoT 2019.

Trendafilov, D.: Best Paper Award “Importance of Coordination and Cultural Diversity for an Efficient and Flexible Manufacturing System”. COGNITIVE 2019.

Finished PhD Theses

Roland, Wolfgang: Selected Topics of Modeling Transport Phenomena in Single-Screw Extrusion: Viscous Dissipation, Melt-Conveying, and Mixing

Huynh, Phuong Van Quoc: Frequent Itemsets Mining for Big Data

Jäger, Markus: Working with Trust and Precision of Information and Data in Knowledge Processing Systems

Anzengruber-Tanase, Bernhard: A Cognitive Ensemble Reference Architecture

Finished Master Theses

Huber, Christian: MODELING OPC UA FROM IEC 61131-3

Kraus, Daniel: Approach for a novel optical network design for future automotive applications

Kassem, Ahmed: Simulation Based Concepts for Adaptive Assembly Line for E-axles

Martinez, Juan Calejero: System benchmark of CAD-CAM in the area of tool making

Abdul Hadi, Muaaz: Adaptive Assembly Methods for E-Axles

Schwarzinger, Kevin: Mathematische Modellbildung eines Schneckenextruders mittels finiter Volumina-Methode

Wührer, Manuel: Mathematische Modellbildung eines Schneckenextruders mittels finiter Elemente-Methode

Finished Bachelor Theses

Laube, Markus: Person Re-Identification from Top Down Cameras

Bahman-Zangi, Bahman: Modeling and Simulating Assembly Processes

Schwaiger, Simon: Analyse und Auswertung von Getrieben