AIRoV Posters

A - AI in Medicine

A01	Towards Real-Time Simulations Of Induced Electric Fields During Brain Stimulation Using Conditioned Transformers Greifeneder, Fabian; Freinberger, Dominik; Moser, Philipp*
A02	MotionDPS: Motion-Compensated 3D MRI Reconstruction Ortiz Gonzalez, Antonio; Kobler, Erich; Schletter, Lukas; Effland, Alexander*
A03	Disentangling Overfitting From Biological Signal: A Responsible AI Framework for IBS Analysis Satriani, Nathanya*
A04	CavitOmiX: A Proteome-Wide AI Framework for Structure-Based Off-Target Prediction, Drug Repurposing, and Antiviral Discovery Hetmann, Michael*
A05	Exploiting Intermediate Reconstructions in Optical Coherence Tomography for Test-Time Adaption of Medical Image Segmentation Pinetz, Thomas; Hucke, Veit; Bogunovic, Hrvoje*
A06	Generating Realistic and Accurate SMPL Body Shapes from Anthropometric Measurements Nikolic, Maja; Kaltenleithner, Sophie; Bodenhofer, Ulrich; Giretzlehner, Michael*
A07	Quantifying and Mitigating Sycophantic Bias in Medical Diagnostic LLM Satriani, Nathanya*
A08	Flow Matching for Conditional MRI-CT and CBCT-CT Image Synthesis Hadzic, Arnela; Joham, Simon Johannes; Urschler, Martin*
A09	Evidential Deep Learning for Missing Boundary Detection in Topologically Constrained OCT Layer Segmentation Fazekas, Botond; Bogunovic, Hrvoje*
A10	PINN-EM: Physics-Guided Disease Progression Model of Geographic Atrophy Lachinov, Dmitrii; Pinetz, Thomas; Bogunovic, Hrvoje*
A11	Evaluation of Anatomical Shape Priors in Deep Learning-Based Cardiac Multi-Compartment Segmentation Hudler, Michael; Thaler, Franz; Urschler, Martin*
A12	LigForge: Physics-Informed Diffusion for Structure-Based Drug Design Schopper, Tobias*
A13	Hyperbolic Representation Learning for Longitudinal Medical Imaging Emre, Taha; Pinetz, Thomas; Bogunovic, Hrvoje*
A14	Forecasting individual survival in irregularly sampled patient trajectories Sobotka, Daniel; Bogveradze, Nino; Beer, Lucian; Seeböck, Philipp; Prosch, Helmut; Langs, Georg*
A15	Multimodal Contrastive Learning for Alzheimer’s Disease Prediction in Imaging Genetics Fallmann, Jonas; Kobler, Erich*
A16	xLSTM for Irregular Multivariate Clinical Time-Series Forecasting Legat, Laura*
A17	Multimodal Masked Image Modeling for Retinal Image Analysis: An Empirical Study Wan, Qian; Morano, José; Bogunović, Hrvoje*

B - Austrian Robotics Workshop 2026 - Tactile Robotics

B01	KINESIS: A Schema-Driven Motion Capturing, Management and Augmentation Framework Günther, Hutter*
B02	Towards Recipe-driven Automation Concepts for Large-scale Food Production Dorfer, Moritz; Rathmair, Michael*
B03	Building a ROS 2 - Isaac Sim Framework for Dual Arm Manipulation of Rigid Objects and Textiles Gschnell, Jonas; Kitzinger, Alexander; Gattringer, Hubert; Mueller, Andreas*
B04	Embedded Haptic-Based Control for Robotic Grasping using a Tactile Sensor System Kammerhofer, Thomas; Thurner, Thomas*
B05	Peak Force Evaluation for an Active Contact Flange Rameder, Bernhard; Gattringer, Hubert; Müller, Andreas; Naderer, Ronald*
B06	Multi-Modal Garment Sorting and Classification Combining Tactile and Visual Sensing Ergun, Serkan; Mitterer, Tobias; Zangl, Hubert*

C - Applied Vision

C01	Obstacle Detection Pipeline using Monocular Depth Estimation in Mobile Robotics Schweighofer, Christian*
C02	AI-Based Optimization of Roadside Mowing Operations in Austria Perko, Roland; Onsori-Wechtitsch, Stefanie; Neuschmied, Helmut; Schallauer, Peter; Hofer-Schmitz, Katharina; Stolz, Michaela*
C03	Synthetic Skeletal Pose Pre-training to Mitigate Data Scarcity in In-Cabin 2D-to-3D Pose Lifting Kunanuntakij, Thummanoon; Schörkhuber, Dominik; Gelautz, Margrit*
C04	Organ Level Representation Learning for Region Based Medical Image Retrieval Lee, Donghwan; Kim, Wooju*
C05	Diffusion Edge Detection Of Texture-less Objects Ivanov, Matvey; Vincze, Markus; Hönig, Peter*
C06	Intelligent Augmentation Methods for Training Defect Detection on Circuit Boards Kaehler, Olaf; Bailer, Werner; Thallinger, Georg*
C07	Assessing Compressive Strength of Reclaimed Clay Bricks Using SWIR Hyperspectral Imaging and Deep Learning Andreu, Jean-Philippe; Jernej, Maria; Klammer, Maximilian*
C08	GraspGen+HSR: Adapting Simulation-Trained 6-DoF Grasping to Real Service Robots Without Retraining Dvorak, Alexander; Nowak, Michael; Pulli, Tessa; Vincze, Markus*
C09	Spot and Edge Feature Based Estimation of Point-Spread Functions for Image Deconvolution Welk, Martin*
C10	Explainable AI for Efficient Hyperspectral Band Selection in Textile Recycling: A Score-CAM Approach Guenounou, Achraf*
C11	Fourier contrast optimization for occluded motion estimation Akov, Ido; Pflugfelder, Roman; Cremers, Daniel*
C12	Effect of polarization filters on hand vein sample image quality Kauba, Christof; Uhl, Andreas*

D - AI Certification, Fairness and Regulations

D01	Stochastic Application Domain Definition for Functional Trustworthiness Certification of AI Systems Schmid, Simon; Nessler, Bernhard; Aufreiter, Alexander; Brune, Barbara*
D02	Conversational Agents in Multi-User Environments Tanriverdi, Umut; Halmdienst, Tobias; Schmid, Simon; Nessler, Bernhard; Lewandowski, Michal*
D03	Safety Driven Hardware and Control Architecture for Automated Surface Vessel Systems Hamamcıoğlu, Önder; Bajrami, Semih; Komyshan, Viktor; Dasanayake, Gehan; Brandstötter, Mathias*
D04	Anthropomorphic Terminology in Artificial Intelligence Kazeeva, Iana; Schmid, Simon; Nessler, Bernhard*
D05	Explainable Selection of Machine Learning Algorithms in Social Sciences Oreski, Dijana; Kisic, Alen; Katava, Luka*

E - Digital Transformation of Agriculture & Animal Science

E01	Vision-based detection of pain and nest-building behaviors in sows within commercial farrowing pens Helf, Peter; Oczak, Maciej*
E02	Online adaptive path planning of UAVs for weed detection Pitzl, Wolfgang; Lachmann, Lukas; Völker, Raphael; Riegler-Nurscher, Peter*
E03	Lightweight Classification of Canine Eye Diseases Abdarahmane, Isselmou; Roth, Peter M.*
E04	Measuring the Specific Gravity of Urine of Dogs Using Digital Refractometers Roth, Peter M.*
E05	Interactive VetMap of Austria Roth, Peter M.*

F - Physics-Informed Machine Learning and Hybrid Modelling

F01	Introducing Monge-GPs: A new class of physics-informed Gaussian Processes (extended abstract) Moser, Johanna; Albert, Christopher; Ranftl, Sascha*
F02	Joint Bayesian Inference on Lagrangian Physics and Trajectories Obermayr, Michael; Peharz, Robert*
F03	Stabilizing PINNs: A regularization scheme for PINN training to avoid unstable fixed points of dynamical systems Babić, Miloš; Rohrhofer, Franz; Geiger, Bernhard*
F04	Physics-Informed Neural Network Estimation of Active Material Properties in Time-Dependent Cardiac Biomechanical Models Hoefler, Matthias; Regazzoni, Francesco; Pagani, Stefano; Karabelas, Elias; Augustin, Christoph; Plank, Gernot; Haase, Gundolf; Caforio, Federica*
F05	A framework integrating physics-informed symbolic regression with finite element simulations for damage law discovery Asadzadeh, Mohammad Zhian*
F06	Understanding the Role of Domain Knowledge in Bayesian Optimization under Small-Data Constraints Schuscha, Bernd; Rohrhofer, Franz Martin; Geiger, Bernhard C.; Scheiber, Daniel*
F07	Derivative-Enhanced Training for Data-efficient Surrogate Modeling Horvath, Paul; Staggl, Marian; Posch, Stefan*
F08	Towards a PIRL framework for efficient airflow diffuser design Lopez, Alfredo; Sobieczky, Florian; Lackner, Christopher; Hochsteger, Matthias; Scheichl, Bernhard; Sobieczky, Helmuth; Feichtinger, Christoph*
F09	Equayes - Democratizing Probabilistic Model Construction and Exploration with automatic Equation to Bayesian Model transformation Findenig, Christian; Mücke, Manfred*
F10	Conceptual-Model-Guided Physics-Inspired Feature Engineering: A 3D-Printer Case Study M. Paczona*

G - RoboWork Workshop

G01	ZeroShop: Automated Metric Mesh Generation for Zero-Shot 6D Object Pose Estimation Lechner, Stefan; Ausserlechner, Philipp*
G02	PASTA: Vision Transformer Patch Aggregation for Weakly Supervised Target and Anomaly Segmentation Neubauer, Melanie; Rueckert, Elmar; Rauch, Christian*
G03	1D Profiles vs. Spectral Images: A Comparative Study of Machine Learning Models for Mineral and Rock Classification Gottam, Sai Puneeth Reddy; Findl, Martin Johannes; Sedlazeck, Klaus Philipp; Galler, Robert; Rueckert, Elmar*
G04	When to Trust the Teacher? Adaptive Coupling in Interactive Robot Learning Feith, Nikolaus; Rückert, Elmar*
G05	Towards Robust Gaussian Splatting SLAM: Lessons from Benchmarking and Pipeline Analysis Ellensohn, Björn; Kahrizi, Peyman; Rauch, Christian; Rückert, Elmar*

H - Spiking Neural Networks - Current Trends and Future Potential

H01	Linearized Bregman Iterations for Sparse Spiking Neural Networks Windhager, Daniel; Lunglmayr, Michael; Moser, Bernhard*
H02	On the role of nonlinear recurrence in Spiking Neural Networks Mayr, Alexander; Hitzginger, Simon; Legenstein, Robert*
H03	Effective Online SNN Training with One-Step Backpropagation Higuchi, Saya; Corradi, Federico; Bohté, Sander M.; Otte, Sebastian*
H04	Probabilistic LIF Neurons Improve Learning in Recurrent Spiking Neural Networks Higuchi, Sebastian; Kloosterman, Niels A.; Hallermann, Stefan; Otte, Sebastian*
H05	Memorising Spike Patterns with a Recurrent Heterogeneous-Delay SNN Perrinet, Laurent*

I - Semantic Scene Representations

I01	Enhanced Environmental Context Encoding for Accurate Trajectory Prediction in Intralogistics Prutsch, Alexander; Possegger, Horst*
I02	D²DINO: Dense Descriptors from DINO for Pixel‑Level Object Understanding Sebeto, Paolo; Weibel, Jean-Baptiste; Hartl-Nesic, Christian; Vincze, Markus*
I03	A Simulation-based Benchmark for LiDAR SLAM in featureless Tunnels with a novel Robustness Evaluation Cao, qiuyi*
I04	Event Camera Localization in LiDAR Maps via Event-to-LiDAR Depth Registration Chen, Kuangyi*
I05	Overcoming Nature: Perception for Autonomous Navigation in Dense Vegetation Wimmer, Lukas; Koczka, Andre; Petrovic, Uros; Steinbauer-Wagner, Gerald*
I06	Good Deep Features to Track: Self-Supervised Feature Extraction and Tracking in Visual Odometry Gottam, Sai Puneeth Reddy; Zhang, Haoming*

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