Peer-Reviewed Scientific Journal Paper
Aali, M., Löw-Baselli, B., Zecevic, J., and Berger-Weber, G.: Assessing Flight Angle and Rotor Speed Effects on Drying Efficiency and Power Consumption of the Centrifugal Dryer of Pelletizing Systems. MDPI Journal Polymers, Volume 17, Issue 13, ArticleNo. 1829. MDPI. 2025. https://doi.org/10.3390/polym17131829
Aberger, J., Brensberger, L., Koinig, G., Häcker, B., Pestana, J., and Sarc, R.: Limitations of Influence-Based Dataset Compression for Waste Classification. MDPI Data, Volume 10, Issue 8, ArticleNo. 127. MDPI. 2025. https://doi.org/10.3390/data10080127
Aberger, J., Brensberger, L., Pestana, J., Sopidis, G., Häcker, B., Haslgrübler, M., and Sarc, R.: recAIcle: An Intelligent Assistance System for Manual Waste Sorting—Validation and Scalability. MDPI Journal Recycling, Volume 10, Issue 6, ArticleNo. 221. MDPI. 2025. https://doi.org/10.3390/recycling10060221
Aberger, J., Shami, S., Häcker, B., Pestana, J., Khodier, K., and Sarc, R.: Prototype of AI-powered assistance system for digitalisation of manual waste sorting. Elsevier Journal of Waste Management, Volume 194, pp. 366-378. Elsevier. 2025. https://doi.org/10.1016/j.wasman.2025.01.027
Azadi, B., Haslgrübler, M., and Ferscha, A.: Motion Analysis in Alpine Skiing: Sensor Placement and Orientation-Invariant Sensing. Journal MDPI Sensors, Volume 25, Issue 8, ArticleNo. 2582. MDPI. 2025. https://doi.org/10.3390/s25082582
Böck, A. J., Größbacher, S., Vrablicz, J., Stoiber, C., Rind, A., Suschnigg, J., Schreck, T., Aigner, W., and Wagner, M.: KAVAI: A Systematic Review of the Building Blocks for Knowledge-Assisted Visual Analytics in Industrial Manufacturing. MDPI Journal of Applied Sciences, Volume 15, Issue 18, ArticleNo. 10172. MDPI. 2025. https://doi.org/10.3390/app151810172
Brillinger, M., Unterkircher, I., Lackner, F., Zwickl, C., Eisele, P., Perkovic, D., Perisa, M., Cvitic, I., Teskera, P., Teixeira, S., and Teixeira, J.C.: Breaking Barriers: Digital Personal Assistants for the Inclusion of Workers with Disabilities in Production. Journal EAI Endorsed Transactions on Digital Transformation of Industrial Processes, Volume 1, Issue 3. EAI. 2025. http://doi.org/10.4108/dtip.9848
Brillinger, M., Abdul Hadi, M., Trabesinger, S., Schmid, J., and Lackner, F.: CNC machining data repository: Geometry, NC code & high-frequency energy consumption data for aluminum and plastic machining. Elsevier Journal Data in Brief, Volume 61, ArticleNo. 111814. Elsevier. 2025. https://doi.org/10.1016/j.dib.2025.111814
Demelius, L., Kern, R., and Trügler, A.: Recent Advances of Differential Privacy in Centralized Deep Learning: A Systematic Survey. Journal ACM Computing Surveys, Volume 57, Issue 6, ArticleNo. 158, pp. 1-28. ACM. 2025. https://doi.org/10.1145/3712000
Eckelt, K., Gadhave, K., Lex, A., and Streit, M.: Loops: Leveraging Provenance and Visualization to Support Exploratory Data Analysis in Notebooks. Journal IEEE Transactions on Visualization and Computer Graphics, Volume 31, Issue 1, pp. 1213-1223. IEEE. 2025. https://doi.org/10.1109/TVCG.2024.3456186
Grosinger, J.: What’s your Take on Chips? Journal IEEE Microwave Magazine, Volume 26, Issue 4, pp. 76-82. IEEE. 2025. https://doi.org/10.1109/MMM.2024.3524938
Haslgrübler, M., Behrooz, A., and Ferscha, A.: Visual saliency distribution maps for explaining time-series AI models used in continuous production of textile fibers. Journal of Information Fusion, Volume 127, Part C, ArticleNo. 103897. Elsevier. 2025. https://doi.org/10.1016/j.inffus.2025.103897
Huber, J., Anzengruber-Tanase, B., Schobesberger, M., Haslgrübler, M., Fischer-Schwarz, R., and Ferscha, A.: Evaluating User Safety Aspects of AI-based Systems in Industrial Occupational Safety: A Critical Review of Research Literatur. MDPI International Journal of Environmental Research and Public Health, Volume 22, Issue 5, ArticleNo. 705. MDPI. 2025. https://doi.org/10.3390/ijerph22050705
Kuncak, J., Hammer, A., Naderer, T., Aali, M., and Berger-Weber, G.: Digitalization techniques in polymer processing – a review. International Polymer Processing, Volume 40, Issue 5, pp.483-507. Degruyter. 2025. https://doi.org/10.1515/ipp-2025-0053
Manjunath, V., Scheipel, T., Pestana, J., and Baunach, M.: Queryable Microarchitecture Knowledge Base using Retrieval-Augmented Generation. DSD 2025, Euromicro Digital System Design Conference, Volume 11, Issue 1, ArticleNo. 4. WiPiEC. 2025. https://doi.org/10.64552/wipiec.v11i1.95
Mayr-Dorn, C., Bilal, A., Ratiu, C.C., and Egyed, A.: Generating Quality Assurance Constraints From Natural Language With LLMs. Journal of Software, Volume 37, Issue 11, ArticleNo. E70062. Wiley. 2025. https://doi.org/10.1002/smr.70062
Mayr-Dorn, C., Ratiu, C.C., Marchezan de Paula, L., Keplinger, F., Egyed, A., and Walden, G.: Actionable Light-weight Process Guidance: approach, prototype, and industrial user study. Journal of Software Engineering 2025, Lecture Notes in Informatics, pp. 61-62. Gesellschaft für Informatik. 2025. https://doi.org/10.18420/se2025-16
Rakuschek, J., Suschnigg, J., Louis, P., Mutlu, B., and Schreck, T.: Scalable visual exploration of time series and anomalies with adaptive level of detail. Journal Information Visualization, Volume 24, Issue 4. Sage. 2025. https://doi.org/10.1177/14738716251363236
Shami, S., Aberger, J., Pestana, J., Häcker, B., Sarc, R., and Krisper, M.: Federated continual learning for vision-based plastic classification in recycling. Elsevier Journal of Waste Management, Volume 205, ArticleNo. 114976. Elsevier. 2025. https://doi.org/10.1016/j.wasman.2025.114976
Sopidis, G., Haslgrübler, M., and Ferscha, A.: Counting Activities Using Weakly Labeled Raw Acceleration Data: A Variable-Length Sequence Approach with Deep Learning to Maintain Event Duration Flexibility. MDPI Sensors Special Issue Reprint Sensors for Human Activity Recognition II, pp. 63-78. MDPI. 2025. https://mdpi-res.com/bookfiles/book/10390/Sensors_for_Human_Activity_Recognition_II.pdf
Steiner, U., Haider, C., Roland, W., Kommenda, M., and Berger-Weber, G.: Using shape constraints to incorporate extrapolation capabilities into the regression models of a hybrid approach for predicting the polymer melt flow through twin-screw extruder kneading blocks. Journal Chemical Engineering Science, Volume 320, Part A, ArticleNo. 122413. Elsevier. 2025. https://doi.org/10.1016/j.ces.2025.122413
Stritzinger, U., Albrecht, H., Löw-Baselli, B., and Berger-Weber, G.: Modeling melt conveying and power consumption of conveying elements in co-rotating twin-screw extruders. Journal International Polymer Processing, Volume 40, Issue 3, pp. 336-345. Degruyter. 2025. https://doi.org/10.1515/ipp-2024-0167
Suschnigg, J., Mutlu, B., Koutroulis, G., Hussain, H., and Schreck, T.: MANDALA – Visual Exploration of Anomalies in Multivariate Time Series Data. Journal Computer Graphics Forum 2024, Volume 44, Issue 1. Wiley. 2025. https://doi.org/10.1111/cgf.70000
Peer-Reviewed Conference Paper
Ali-Ahmad, M.T., Pestana, J., and Baunach, M.: Detecting Hidden Schedulability Failures in Automotive Application Models With Client-Server Dependencies. RTNS 2025, 33rd International Conference on Real-Time Networks and Systems. Springer. 2025. DOI tba
Ali-Ahmad, M.T., Pestana, J., Krisper, M., and Baunach, M.: A Scalable Approach for Memory Optimization in The AUTOSAR Schedule Table. 40th ACM/SIGAPP Symposium On Applied Computing Embedded Systems Track (ACM SAC 2025) Track on Knowledge Representation and Reasoning: KRRTrack 2025, pp. 514-523. ACM. 2025. https://doi.org/10.1145/3672608.3707710
Azadi, B., Anzengruber-Tanase, B., Sopidis, G., Haslgrübler, M., and Ferscha, A.: Towards an Energy-Efficient and Sustainable IIoT using Embedded Neuromorphic AI. IOT ’25, 15th International Conference on the Internet of Things, pp. 237-244. ACM. 2025. https://doi.org/10.1145/3770501.3770529
Brillinger, M., Holzweber, J., Pichler, N., Lackner, F., Zwickl, C., and Bader, M.: Towards a Definition for 7D Printing. CIRP ICME 2025, 19th CIRP Conference on Intelligent Computation in Manufacturing Engineering. Elsevier. 2025. DOI tba
Brillinger, M. and Lackner, F.: Unlocking the Hidden Potential of Upcycled Metal Machining Chips for Derusting and Roughening. CIRP ICME 2025, 19th CIRP Conference on Intelligent Computation in Manufacturing Engineering. Elsevier. 2025. DOI tba
Brillinger, M., Lackner, F., Domitner, J., and Silvayeh, Z.: Unlocking the Hidden Potential of Upcycled Metal Machining Chips: An Experimental Study. CIRP ICME 2025, 19th CIRP Conference on Intelligent Computation in Manufacturing Engineering. Elsevier. 2025. DOI tba
Brillinger, M., Wagner, Georg, and Pader, M.: Teaching Sustainable Production: A Gamification Approach. CIRP ICME 2025, 19th CIRP Conference on Intelligent Computation in Manufacturing Engineering. Elsevier. 2025. DOI tba
Brillinger, M., Lackner, F., Abdul Hadi, M., Diwold, K., Kajmakovic, A., Manfredi, S., Orgler, M., Jäger, M., Gashi, G., Trabesinger, S., Guiza, O., Pichler, R., Strametz, D., Bloder, M., Pichler, M., Haas, F., Neunhäuserer, M., Mehr, S., Weinzerl, M., Malisa, V., Brunner, M., Wuwer, M., Husár, J., Tauberová, R., Tiba, Z., Bodzás, S., Teskera, P., Periša, M., Cvitić, I., and Peraković, D.: Achieving economic sustainability via low-cost automation techniques – a novel study. EAI MMS 2024, 9th EAI International Conference on Management of Manufacturing Systems, pp. 111-123. Springer. 2025. https://doi.org/10.1007/978-3-031-80881-4_9
Brillinger, M., Rom, W., Worschech, J., Gursch, H., Schreck, T., Augsdörfer, U., Jäger, M., Guiza, O., Holzweber, J., Lackner, F., Zwickl, C., Ofner, A.B., Haiberger, M., Steiner, T., Ecklmayr, H., Bauer, F., Pfleger, A., Woisetschläger, C., Lonsing, P., Linecker, D., and Ackerl, P.: Towards a Digital Decision Support Tool for Sustainable Product Design and Production. EAI MMS 2025 Conference. Springer. 2025. DOI tba
Grigorov, A., Tulska, A., Slipchenko, S., Santos, G., and Brillinger, M.: Prospects of Use of Hydrocarbon Waste as a Feedstock for the Production of Plastic Lubricants. ICIENG 2025, Innovations in Industrial Engineering IV, Prag, pp. 128-140. Springer Nature. 2025. https://doi.org/10.1007/978-3-031-94484-0_11
Holoczek, F., Hillisch, A., Hinterreiter, A., Hernandez-Garcia, A., Streit, M., and Humer, C.: GFlowNet Playground – Theory and Examples for an Intuitive Understanding. IEEE VIS 2025, 8th Workshop on Visualization for AI Explainability. IEEE. 2025. DOI tba
Hussain, A. and Ferscha, A.: iTBG-Net: Enhancing Short-Term Renewable Energy Forecasting with Incremental Deep Learning. ICECET 2025, International Conference on Electrical, Computer and Energy Technologies. IEEE. 2025. DOI tba.
Jelidi, A., Kajmakovic, A., Palmisiano, A., Sentobe, F., and Römer, K.: V-Models: LLMs for the Development Lifecycle of Safety-critical Systems. ISSRE 2025, International Symposium on Software Reliability Engineering, pp. 15-20. IEEE. 2025. https://doi.org/10.1109/ISSREW67781.2025.00039
Jelidi, A., Kraus, D., Saukh, O., Pestana, J., Priller, P., and Römer, K.: Benchmarking Vision-based Analog Gauge Reading Methods for Vehicle Dashboard Validation. IAVVC 2025, IEEE International Automated Vehicle Validation Conference, pp. 1-6. IEEE. 2025. https://doi.org/10.1109/IAVVC61942.2025.11219595
Jobst, A., Atzberger, D., Scheibel, W., Döllner, J., and Schreck, T.: A Natural Language Interface for 2.5D Treemap Visualization of Source Code. IVAPP 2025, 16th International Conference on Information Visualization Theory and Application, pp. 867-874. Scitepress. 2025. http://doi.org/10.5220/0013119600003912
Kajmakovic, A., Durkic, B., and Avdic, S.: Progress of Industrial Revolutions – Reality Check for Bosnia and Herzegovina. ECOS 2025, 27th International Conference ECONOMIC COMPETITIVENESS AND SUSTAINABILITY, published in European Journal of Business Science and Technology (EJOBSAT) open access, pp. 87-100. Mendel University Brno. 2025. https://doi.org/10.11118/978-80-7701-047-4-0087
Krisper, M. and Moling, D.: Prompt Feedback Loop: A Design Pattern for Iterative LLM-Assisted Code Generation. EuroPLoP 2025, 30th European Conference on Pattern Languages of Programs, People, and Practices. ACM. 2025. DOI tba
Manjunath, V., Scheipel, T., and Baunach, M.: Formal Modeling and Verification of Low-Level AUTOSAR RTOS Specifications: Towards Portability and Correctness. ACM/SIGAPP SAC, 40th ACM/SIGAPP Symposium On Applied Computing, pp. 2007-2015. ACM. 2025. https://doi.org/10.1145/3672608.3707867
Perisa, M., Teskera, P., Cvitic, I., and Brillinger, M.: Conceptual Framework for Designing Assistive Technologies in the User’s Working Environment. EAI MMS 2024, 9th EAI International Conference on Management of Manufacturing Systems, pp. 83-97. Springer. 2025. https://doi.org/10.1007/978-3-031-80881-4_7
Shakya, S., Hartl, A.-R., Hochreiter, S., and Pöppl, K.: Adaptive Retrieval helps reasoning in LLMs—but mostly if it’s not used. EurIPS 2025 Workshop on Principles of Generative Modeling (PriGM). arXiv. 2025. https://doi.org/10.48550/arXiv.2602.07213
Stocker, M., Bögl, A., Schuh, M., Römer, K., Boano, C.A., Ember, E., Tertinek, S., and Pelegrin, P.C.: Modeling the Impact of WiFi 6E Traffic on Ultra-Wideband Communication Performance. MSWIM 2025, The 27th International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems. ACM/IEEE: 2025. DOI tba
Suschnigg, J., Mutlu, B., Bauer, M., Burgholzer, M., and Schreck, T.: Cluster-Based Approach for Visual Anomaly Detection in Multivariate Welding Process Data Supported by User Guidance. ACM IUI 2025, 30th Annual ACM Conference on Intelligent User Interfaces, pp. 325-340. ACM. 2025. https://doi.org/10.1145/3708359.3712076
Vuković, M., Mutlu, B., Kristan, T., Krahwinkler, P., Tauber, C., and Thalmann, S.: Leveraging Causal Discovery to Tackle Complexity in Model-Based Anomaly Detection: Case-Study from Blast Furnace Operation. DSAA 2025, IEEE 12th International Conference on Data Science and Advanced Analytics, pp. 1-10. IEEE. 2025. https://doi.org/10.1109/DSAA65442.2025.11248001
Wang, D., Sikic, H., Tiele, L., and Saukh, O.: Forget the Data and Fine-Tuning! Just Fold the Network to Compress. ICLR 2025, The Thirteenth International Conference on Learning Representations. ICLR. 2025. DOI tba
Talks & Presentations
Haslgrübler, Michael: Impulsstatement: Interdisziplinäres Zusammenarbeiten. Kick-off- Talk @ Aufbau Ökosystem: Spannungsfeld Regulierung, Technologiesouveränität und Innovation – Digitale Technologien als Lösungsansatz? Wien, 08.04.2025
Kajmakovic, Amer: Ensuring AI Safety: Ethical Considerations and Practical Implementations. Speaker @ QA Summit organized by System Verification (Sweden) in Sarajevo, Bosnia and Herzegovina, 14./15.05.2025
Kajmakovic, Amer: Connecting Knowledge, Industry, and the Diaspora. Organizer @ BH TechConnect 2025: Connecting Knowledge, Industry, and the Diaspora in Graz, 17.05.2025
Kajmakovic, Amer: Student and Professional Networks as the Foundation for Future Cooperation and the Development of Competent Young Leaders. Moderator @ Panel Session at BH TechConnect 2025. Lendhafen Graz, 17.05.2025
Brillinger, Markus: Making the Invisible Visible – Patented torque measurement as the key to optimizing efficiency, wear and screw design in polymer extrusion. Keynote @ CIRPLEX Messe, Klagenfurt, 15.05.2025
Technical Reports, Patents & Posters
Shakya, S., Hartl, A.-R., Hochreiter, S., and Pöppl, K.: Adaptive Retrieval helps reasoning in LLMs—but mostly if it’s not used. Poster @ EurIPS 2025 Workshop on Principles of Generative Modeling (PriGM)
Sysoykova, E., Anzengruber-Tanase, B., Haslgrübler, M., Seidl, P., and Ferscha, A.: Federated Few-Shot Learning for Epileptic Seizure Detection Under Privacy Constraints. arXiv. 2025. https://doi.org/10.48550/arXiv.2512.13717
Awards & Honors
Abdul Hadi, M. and Trabesinger, S.: Innovationspreis Steiermark 2025, Kategorie Digitalisierung: F&E-Institutionen. 2025.
Brillinger, M., et al.: Best Paper Award: Prospects of Use of Hydrocarbon Waste as a Feedstock for the Production of Plastic Lubricants. Best Paper Award, ICIENG 2025, Innovations in Industrial Engineering IV, Prag. Springer. 2025.
Mutlu, B.: Best Paper Award: Honorable Mentions in the Category “Impact on Business” for the Paper “Visual Exploration and Analysis of Simulation and Testing Data in Motor Engineering”. Best Paper Award of Fraunhofer IGD and the Visual Computing Groups of TU Darmstadt. 2025.
Jelidi, A., Kajmakovic, A., Palmisiano, A., Sentobe, F., and Römer, K.: Best Industry Paper Award: V-Models: LLMs for the Development Lifecycle of Safety-critical Systems. ISSRE 2025, International Symposium on Software Reliability Engineering. IEEE. 2025.
Finished PhD Theses
Sopidis, Georgios: Cognitive Augmentation for Manual Assembly
Azadi, Behrooz: Skill Level Recognition of Recreational Alpine Skiers
Vukovic, Matej: Causal Discovery in Industrial Data Analysis: A Framework for Trustworthy Industrial Intelligence
Kraus, Daniel: Test and Validation Engineering: Innovations in Automotive Support and Recommendation Systems
Suschnigg, Josef: Visual Analytics for Data-Driven Decision Support in Industrial Applications
Finished Master Theses
Moling, David: Towards a Light-Weight and Scalable AI-based Processing Platform for Learning Applications
Steiner, Maximilian: Performance and Memory Considerations Comparing C and C++ for Embedded Applications
Sysoykova, Ekaterina: Multiclass Epileptic Seizure Detection Using Few-Shot Learning with Federated Learning Extension
Unterkircher, Iris: The Cognitive Glove: A Wearable Sensor-Based Hand Movement Tracking and Spatial Positioning System
Quant, Simeon: NL2Py: A Natural Language Interface for Processing Data with Python
Sikic, Haris: Deep Neural Network Compression using Model Folding
Agape, Alexandru: Accelerating the Development of an LLVM Compiler Backend
Schütz, Lukas: PFEADi: Precursor Framework for Embedded Architectures
Shakya, Srijan: Enhancing LLMs reasoning capabilities strongly by including retrieval
Gashi, Granit: Adaptive Threshold Learning in Machine Signals
Finished Bachelor Theses
Roca, Javier Farfan: Functional Safety AI Assistant
Diaz Cajas, Nico Sami: Streaming AI :: Adaptive Energy Demand Forecasting for Smart Homes Using Lifelong Learning
Finished Habilitations
Kern, Roman: Towards Causal Data Science for Non-Independent Data