Peer-Reviewed Scientific Journal Paper
Adelberger, P., Lesota, O., Eckelt, K., Schedl, M., and Streit, M.: Iguanodon: A Code-Breaking Game for Improving Visualization Construction Literacy. IEEE Transactions on Visualization and Computer Graphics, pp. 1-14. IEEE. 2024. https://doi.org/10.1109/TVCG.2024.3468948
Azadi, B., Haslgrübler, M., Anzengruber-Tanase, B., Sopidis, G., and Ferscha, A.: Robust Feature Representation Using Multi-Task Learning for Human Activity Recognition. Journal Sensors, Volume 24, Issue 2, ArticleNo. 681. MDPI. 2024. https://doi.org/10.3390/s24020681
Brillinger, M.: Speeding Up Additive Manufacturing: 3D Printing of Supercooled Liquids. Journal Procedia CIRP, CIRP CMS 2024, Part of Special Issue on 57th CIRP Conference on Manucfacturing Systems, Volume 130, pp. 538-543. Elsevier. 2024. https://doi.org/10.1016/j.procir.2024.10.126
Brillinger, M., Manfredi, S., Leder, D., Bloder, M., Jäger, M., Diwold, K., Kajmakovic, A., Haslgrübler, M., Pichler, R., Brunner, M., Mehr, S., and Malisa, V.: Physiological Work Overload Assessment for Highly Flexible Fine-Motory Assembly Tasks Using Machine Learning. Journal of Computers & Industrial Engineering, Volume 188, ArticleNo. 109859. Elsevier. 2024. https://doi.org/10.1016/j.cie.2023.109859
Choudhary, A., Vukovic, M., Mutlu, B., Haslgrübler, M., and Kern, R.: Interpretability of Causal Discovery in Tracking Deterioration in a highly Dynamic Process. MDPI Sensors, Volume 24, Issue 12, ArticleNo. 3728. MDPI. 2024. https://doi.org/10.3390/s24123728
Deshpande, K., Holzweber, J., Thalhuber, S., Hämmerle, A., Mayrhofer, M., Pichler, A., and de Paula Filho, P.L.: Manufacturing Line Ablation, an approach to perform reliable early prediction. 5th International Conference on Industry 4.0 and Smart Manufacturing. Volume 232, pp. 752-765. Elsevier. 2024. DOI: https://doi.org/10.1016/j.procs.2024.01.075
Dhanoa, V., Hinterreiter, A., Fediuk, V., Elmqvist, N., Gröller, E., and Streit, M.: D-Tour: Semi-Automatic Generation of Interactive Guided Tours for Visualization Dashboard Onboarding. IEEE Transactions on Visualization and Computer Graphics, Volume 31, Issue 1, pp. 721-731. IEEE. 2024. https://doi.org/10.1109/TVCG.2024.3456347
Herac, E., Marchezan, L., Assuncao, W.K.G., and Egyed, A.: Conflict-based Change Awareness for Collaborative Model-driven Software Engineering. Journal of Object Technology, Volume 23, No. 3, pp. 1-14. JOT. 2024. http://dx.doi.org/10.5381/jot.2024.23.3.a7
Hilber, V., Albrecht, H., and Jakoby, B.: Nature-Inspired Dual-Sensor Thread for Independent Measurement of Internal Temperature and Strain in Cast Parts or Fabrics. IEEE Sensors Letters, Volume 8, Issue 8, ArticleNo. 5503104. IEEE. 2024. https://doi.org/10.1109/LSENS.2024.3431685
Husar, J., Hrehova, S., Trojanowski, P., and Brillinger, M.: Optimizing the Simulation of Conveyor Systems through Digital Shadow Integration to Increase Assembly Efficiency. Journal Technologia i Automatyzacja Montazu (TIAM), Volume 123, Issue 1, pp. 16-22. TIAM. 2024. https://doi.org/10.7862/tiam.2024.1.3
Louis, P., Cibulski, L., Suschnigg, J., Marth, E., Mitterhofer, H., Kohlhammer, J., Schreck, T., and Mutlu. M.: Visual Exploration and Analysis of Simulation and Testing Data in Motor Engineering. IEEE Computer Graphics and Applications, Volume 44, Issue 4, pp. 113-125. IEEE. 2024. https://doi.org/10.1109/MCG.2024.3392969
Manjunath, V. and Baunach, M.: A framework for static analysis and verification of low-level code. Journal of Systems Architecture, Volume 154, ArticleNo. 103220. Elsevier. 2024. https://doi.org/10.1016/j.sysarc.2024.103220
Manjunath, V. and Baunach, M.: A framework improving portability and ensuring correctness of Operating System kernels. ACM SIGAda Letters, Volume 44, Issue 1, pp. 68-72. ACM. 2024. https://doi.org/10.1145/3706601.3706613
Mayr-Dorn, C., Ratiu, C.C., Marchezan de Paula, L.: Actionable light-weight process guidance. Journal of Systems and Software, Volume 214, ArticleNo. 112064. Elsevier. 2024. https://doi.org/10.1016/j.jss.2024.112064
Ratiu, C.C., Assuncao, W.K.G., Herac, E., Haas, R., Lauwerys, C., and Egyed, A.: Using Reactive Links to Propagate Changes Across Engineering Models. International Journal on Software and Systems Modeling (SoSyM). Springer. 2024. https://doi.org/10.1007/s10270-024-01186-w
Silvayeh, Z., Brillinger, M., and Domitner, J.: Deformation behavior of aluminum alloy rivets for aerospace applications. Journal of Materials Research and Technology, Volume 33, pp. 3482-3491. Elsevier. 2024. https://doi.org/10.1016/j.jmrt.2024.09.259
Sopidis, G., Haslgrübler, M., Azadi, B., Guiza, O., Schobesberg, M., Anzengruber-Tanase, B., and Ferscha, A.: System Design for Sensing in Manufacturing to Apply AI through Hierarchical Abstraction Levels. MDPI Sensors, Volume 24, Issue 14, ArticleNo. 4508. MDPI. 2024. https://doi.org/10.3390/s24144508
Vukovic, M., Koutroulis, G., Mutlu, B., Krahwinkler, B., and Thalmann, S.: Local machine learning model-based multi-objective optimization for managing system interdependencies in production: A case study from the ironmaking industry. Journal Engineering Applications of Artificial Intelligence, Volume 133, Part B, ArticleNo. 108099. Elsevier. 2024. https://doi.org/10.1016/j.engappai.2024.108099
Waikat, J., Jelidi, A., Lic, S., Sopidis, G., Kähler, O., Maly, A., Pestana, J., Furhmann, F., and Belavic, F.: First Measurement Campaign by a Multi-Sensor Robot for the Lifecycle Monitoring of Transformers. Journal Energies, Volume 17, Issue 15, ArticleNo. 1152. MDPI. 2024. https://doi.org/10.3390/en17051152
Scientific Journal Paper
Ferscha, A., Jäger, M., and Zenz, G.: Im Schnittpunkt von Mensch und Maschine. derStandard & dieZeit JUST Science Magazine. 2024. https://www.just-magazin.com/science/im-schnittpunkt-von-mensch-und-maschine/
Ferscha, A., Jäger, M., and Zenz, G.: “Haben uns gefragt: was kommt nach der Digitalisierung?“. derStandard & dieZeit JUST Science Magazine. 2024. https://www.just-magazin.com/science/haben-uns-gefragt-was-kommt-nach-der-digitalisierung/
Jäger, M., Haslgrübler, M., Krisper, M., Anzengruber-Tanase, B., and Kössler, C.: Neues von Pro²Future. derStandard & dieZeit JUST Science Magazine. 2024. https://www.just-magazin.com/science/neues-von-pro%c2%b2future/
Abdul Hadi, M., Trabesinger, S., Jäger, M., and Kössler, C.: Schöne neue Fertigungswelt. derStandard & dieZeit JUST Science Magazine. 2024. https://www.just-magazin.com/science/schoene-neue-fertigungswelt/
Peer-Reviewed Conference Paper
Ali-Ahmad, M.T., Krisper, M., Ribeiro, L.B., and Baunach, M.: Avoiding Empty Instances and Offset Drifts of Basic Sequencer Tasks in Automotive Operating System. SAC 2024, 39th ACM/SIGAPP Symposium On Applied Computing – Embedded Systems Track, pp. 400-409. IEEE. 2024. https://doi.org/10.1145/3605098.3635886
Brillinger, M., Mündler, J., Edler, J., Heiss, M., and Haas, F.: Exploring the edge of the edge: Utilization of available CNC machine data for material defect detection. CIRP ICME 2024, 18th CIRP Conference on Intelligent Computation in Manufacturing Engineering. Elsevier. 2024. DOI: tba
Cao, N. and Saukh, O.: Mitigating Distribution Shifts in Pollen Classification from Microscopic Images Using Geometric Data Augmentations. ICPADS 2023, 29th IEEE International Conference on Parallel and Distributed Systems. IEEE. 2024. https://doi.org/10.1109/ICPADS60453.2023.00084
Ember, E., Pestana, J., Krisper, M., Pelegrin, P.C., Stocker, M., Römer, K., and Boano, C.A.: Impact of Feature Selection and CIR Window Length on NLoS Classification for UWB Systems. MSN 2023, 19th International Conference on Mobility, Sensing and Networking. ACM. 2024. https://doi.org/10.1109/MSN60784.2023.00024
Ember, E., Pestana, J., Krisper, M., Stocker, M., Römer, K., and Boano, C.A.: Improving the Correction of NLoS-Induced Ranging Errors in UWB Systems through Enhanced Labeling. IFIP 2024, 15th IFIP Wireless and Mobile Networking Conference (WMNC), pp. 100-107. IEEE. 2024. DOI: tba
Homolka, M., Marchezan, L., Assuncao, W.K.G., and Egyed, A.: “What Happened to my Models?” History-Aware Co-Existence and Co-Evolution of Metamodels and Models. ICSME 2024, IEEE International Conference on Software Maintenance and Evolution. IEEE. 2024. https://doi.org/10.1109/ICSME58944.2024.00027
Homolka, M., Marchezan, L., Assuncao, W.K.G., and Egyed, A.: “Don’t Touch my Model!” Towards Managing Model History and Versions during Metamodel Evolution. ICSE-NIER’24, 2024 ACM/IEEE 44th International Conference on Software Engineering: New Ideas and Emerging Results, pp. 77-81. ACM. 2024. https://doi.org/10.1145/3639476.3639758
Krisper, M.: Digital Product Pass as Quality Certificate and for Traceability of Material Flows. RecyDepoTech 2024. AVAW/MUL. 2024. ISBN: 978-3-200-09925-8
Louis, P., Mutlu, B., Suschnigg, J., and Schreck, T.: Visual Analytics of Cyclic Time Series with Semantic Zoom. IV 2024, 28th International Conference Information Visualisation. IEEE. 2024. https://doi.org/10.1109/IV64223.2024.00019
Marchezan, L., Assuncao, W.K.G., Herac, E., Shafiq, S., and Egyed, A.: Exploring Dependencies Among Inconsistencies to Enhance the Consistency Maintenance of Models. SANER 2024, IEEE International Conference on Software Analysis, Evolution and Reengineering. IEEE. 2024. https://doi.org/10.1109/SANER60148.2024.00023
Marchezan, L., Homolka, M., Blokhin, A., Assuncao, W.K.G., Herac, E., and Egeyed, A.: A Tool for Collaborative Consistency Checking During Modeling. MODELS Companion ’24: ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems, pp. 655-659. ACM. 2024. https://doi.org/10.1145/3652620.3688558
Nagarajan, D., Scheipel, T., and Baunach, M.: Fair and Starvation-Free Spinlock for Real-Time AUTOSAR Systems. SAC 2024 – EMBS Track, 39th ACM/SIGAPP Symposium On Applied Computing, Embedded Systems Track, pp. 436-445. ACM. 2024. https://doi.org/10.1145/3605098.3635922
Oberegger, B., Truden, C., Brillinger, M., Pauker, F., and Reiner, G.: Evaluating the Viability of Reusable Packaging in a Circular Economy B2B Framework. EUROMA 2024, European Operations Management Association Conference. EurOMA. 2024. DOI: tba
Papst, F., Kraus, D., Rechberger, M., and Saukh, O.: Sensor-Guided Adaptive Machine Learning on Resource-Constrained Devices. IoT 2024, 14th International Conference on the Internet of Things. ACM. 2024. DOI: tba
Preda, A.R., Mayr-Dorn, C., Mashkoor, A., and Egyed, A.: Supporting High-Level to Low-Level Requirements Coverage Reviewing with Large Language Models. MSR ’24, 21st International Conference on Mining Software Repositories, pp. 242-253. ACM. 2024. https://doi.org/10.1145/3643991.3644922
Rechberger, M., Kraus, D., Priller, P., and Saukh, O.: Exploring Human and Artificial Attention Mechanisms in Driving Scenarios. SEC 2024, ACM/IEEE Symposium on Edge Computing. IEEE. 2024. https://doi.org/10.1109/SEC62691.2024.00038
Roland, W., Stritzinger, U., Albrecht, H., Berger-Weber, G., and Steinbichler, G.: Conveying Characteristics of Co-Rotating Twin-Screw Extruder Kneading Blocks – Comparison of Various Modeling Approaches. 2nd International Symposium on Plastics Technology. AIP. 2024. https://doi.org/10.1063/5.0195356
Santellani, E., Zach, M., Sormann, C., Rossi, M., Kuhn, A., and Fraundorfer, F.: GMM-IKRS: Gaussian Mixture Models for Interpretable Keypoint Refinement and Scoring. ECCV 2024, Computer Vision, pp. 77-93. Springer. 2024. https://doi.org/10.1007/978-3-031-72980-5_5
Saukh, O., Wang, D., He, X., and Thiele, L.: Subspace-Configurable Networks. CoLLAs 2024, 3rd Third Conference on Lifelong Learning Agents. arXiv. 2024. https://doi.org/10.48550/arXiv.2305.13536
Shami, S., Haecker, B., Aberger, J., Hosseini, M. Pestana, J., and Krisper, M.: Comparative Analysis of Transfer and Continual Learning for Vision-Based Particle Classification in Plastics Sorting for Recycling. RecyDepoTech 2024. AVAW/MUL. 2024. ISBN: 978-3-200-09925-8
Shami, S., Haecker, B., Prangl, B., Aberger, J., Pestana, J., and Krisper, M.: A Vision-Based Trash Particle Classification System for Sorting Facilities. DGAW Wissenschaftskongress 2024. DGAW. 2024. https://doi.org/10.15203/99106-120-5
Siegl, M., Unterkircher, I., Aberger, J., Pestana, J., and Krisper, M.: Action recognition support system for recycling and sorting facilities. DGAW Wissenschaftskongress 2024. DGAW. 2024. https://doi.org/10.15203/99106-120-5
Vukovic, M., Haferlbauer, P., Mutlu, B., Hutterer, T., Braun, P., and Thalmann, S.: Unveiling Operational Dynamics: Causally Interpretable Clustering for Understanding the Usage of Plastic Injection Molding Machines. CBI 2025, 26th International Conference on Business Informatics. IEEE. 2024. https://doi.org/10.1109/CBI62504.2024.00033
Anzengruber-Tanase, B.: Potentiale der KI für Industrie und Wirtschaft. Keynote @ Wirtschaftsempfang Ansfelden, 08.10.2024
Brillinger, M.: Konzeptionierung Cyber Physical System auf Produktionssteuerungsebene. Pitch @ SURE5.0 Kapfenberg, 24.01.2024
Brillinger, M.: Assistive Technologies in Production for People with Disabilities. Guest Lecture @ Uni Zagreb, 02.07.2024
Ferscha, A.: Industrial AI – Cognitive, Sustainable, Human Centered. Keynote @ Linz connects – KI im industriellen Umfeld, Primetals Technologies Linz, 14.03.2024
Ferscha, A.: Game Changer AI. Keynote @ Industriellenvereinigung, Haus der Industrie, Linz, 02.04.2024
Ferscha, A.: AI for Industry: Federated, Sustainable and Human-centered. Keynote @ AVL ITS Research Networking Day 2024
Ferscha, A.: Wie kann Künstliche Intelligenz in der Industrie eingesetzt werden? Vortrag @ ORF Treffpunkt Wissenschaft, 12.11.2024
Haslgrübler, M.: Deep Dive Session – AI in Manufacturing. Keynote @ Applied AI Conference Vienna, 2024
Kajmakovic, A.: From theory to practice: Development of Industry 4.0 through research and development activities. Invited Talk @ PIT Events: Industry 4.0.
Kajmakovic, A.: Mindset Revolution 4.0: Embracing Technology and Overcoming Resistance to Change. Keynote & Discussion Panel @ PIT ADRIA SUMMIT 2024: Lean Green Digital, Zagreb. 2024
Krisper, M.: Digitaler Produktpass als Qualitätsnachweis und Tracing-Methode für Recycling und Reststoffverwertung. Keynote @ RecyDepoTech in Leoben, 13.11.2024
Technical Reports, Patents & Posters
Huber, R., Albrecht, H., Hammer, A., Cäsar, B., Löw-Baselli, B., and Berger-Weber, C.: Product Quality Assessment in Polymer Processing by Means of Optical Coherence Tomography (OCT). Poster @ European Regional Meeting der Polymer Processing Society (PPS), Ferrol, A Coruna, Spanien. 2024
Awards & Honors
Ember, Elisei: Best Paper Award: Improving the Correction of NLoS-Induced Ranging Errors in UWB Systems through Enhanced Labeling. IFIP 2024, 15th IFIP Wireless and Mobile Networking Conference (WMNC). 2024
Jelidi, Amel: Best Poster Award: Transformer Analog Meter Reading through Classical and Altered Iterative Closest Points. COCONUT 2024 – International Conference on Comptungn, Communication Networks, and Ubiquitous Technologies (TUG Award). 2024.
Azadi, B., Haslgrübler, M., Anzengruber-Tanase, B., Sopidis, G., and Ferscha, A.: Editor’s Choice Dinstinction: Robust Feature Representation Using Multi-Task Learning for Human Activity Recognition. Journal Sensors, Volume 24, Issue 2, ArticleNo. 681. MDPI. 2024. https://doi.org/10.3390/s24020681
Finished PhD Theses
Hussain, Hussain: Homophily and its Influence on the Prediction Bias of Graph Neural Networks
Dhanoa, Vaishali: Multi-Level Uncertainty Visualization
Finished Master Theses
Novak, Anze: Rootless containers in Kubernetes environment
Zethofer, Jakob: Storage Duration Prediction and Visualization in Production (A Case Study in the Steel Industry)
Louis, Patrick: Using Annotations and Guided Zoom to Analyze Electric Motor Data
Krizic, Mario: Shopfloor Layout Change Detection and Automated Software Reconfiguration
Finished Bachelor Theses
Szojak, Verena: Invertible Concept-based Explanations – An Exploratory Analysis for an Acoustic Scene Classifier
Huber, Rene: Inline-Prozessmonitoring des Wellrohrextrusionsprozesses mittels optischer Kohärenztomographie (OCT)
Finished Habilitations
Mayr-Dorn, Christoph: Supporting Implicit and Explicit Coordination in Software-Intensive Systems Engineering
Kern, Roman: Towards Causal Data Science for Non-Independent Data