Prof. Wilfried Elmenreich is a Professor at the Department of Networked and Embedded Systems at Alpen-Adria-Universität Klagenfurt. He serves as a Member of the Senate and Member of the Works Council for Academic Staff. His research focuses on Cyber-Physical Systems, Smart Grids, Swarm Intelligence, and Sustainability Technologies. He leads projects involving swarm robotics, decentralized energy management, and educational technology. Key research areas include: Design of swarm-based algorithms for production scheduling and robotics Development of frameworks like SwarmFabSim for bottom-up optimization Non-Intrusive Load Monitoring (NILM) using neural networks and edge computing Integration of federated learning into smart grid systems Sustainability education and pandemic-related behavioral studies His work combines theoretical contributions with practical implementations, such as the CPSwarm project for swarm system design and the Yomopie energy monitoring tool. Recent publications emphasize interdisciplinary approaches, blending robotics, machine learning, and electrical engineering to address challenges in energy systems and autonomous systems.
Peter Pavel Arthur Petráš is a Tutor at the Institute for Intelligent System Technologies within the Faculty of Technical Sciences at the University of Klagenfurt. His research focuses on interdisciplinary applications of artificial intelligence, robotics, and systems engineering, with contributions to fields like swarmalator dynamics, automated systems design, and media literacy in digital environments. He is actively engaged in collaborative projects involving industry partners such as Infineon Technologies Austria AG and the Austrian Research Promotion Agency (FFG), emphasizing practical innovations in technology and education. While not listed as a project head, his role supports cutting-edge research in areas like radar simulation frameworks, garment sorting automation, and multi-agent localization systems. His work bridges theoretical advancements with real-world implementation, particularly in edge-cloud computing and interdisciplinary methodological innovations. Recent publications highlight his expertise in AI-driven solutions, robotics, and the societal implications of digital media. Notable themes include analyzing online political microtargeting avoidance, improving multi-robot exploration algorithms, and exploring poetry workshops in migration research. His contributions align with the University of Klagenfurt’s focus on fostering innovation through its Third Mission initiatives, emphasizing knowledge transfer to regional industries and public sectors. Petráš collaborates on projects addressing societal challenges, such as promoting media literacy through the #NoFakeFacts! Citizen Science initiative and enhancing wind turbine blade inspection via multimedia drones. His work reflects a commitment to both technical innovation and addressing ethical and educational dimensions of emerging technologies.
Radu Aurel Prodan is a Professor and Deputy Head of the Institute of Information Technology at the University of Klagenfurt, within the Faculty of Technical Sciences. His research focuses on advanced topics in Artificial Intelligence, Robotics, and Sensor Networks, with notable projects involving multi-agent systems, drone-based inspection technologies, and embedded AI applications. He actively collaborates on funded initiatives such as 'Heterogeneous multi-agent localization' (FFG-funded) and 'Embedded AI - Shaping the Future of Power Electronics' (Industry collaboration with Infineon). His work bridges theoretical advancements with practical applications in automation, environmental monitoring, and industrial systems. As part of his academic role, he contributes to teaching and research supervision, though specific advisee details are not publicly listed. His institutional address is Raum S.2.62 at the University's main building.
Christian Bettstetter is a Professor at the Institute for Networked and Embedded Systems at the University of Klagenfurt, Austria, and the Scientific Director of Lakeside Labs. He leads research in wireless communications, autonomous systems, and self-organizing networks. As Coordinator for International Relations of the Faculty of Engineering and Head of his institute, he oversees interdisciplinary projects involving drone networks, synchronization algorithms, and industrial IoT applications. His research interests span robotics , swarm intelligence , and drone communication protocols , with notable contributions to synchronization in oscillator networks and multi-robot exploration. He teaches courses on mobile communications and electricity & magnetism , and his work has been recognized with the 2022 Lehrepreis for excellence in teaching. Key projects include: Developing self-organized drone swarms using the swarmalator model Investigating interference management in 5G-connected drones Creating ROS-based frameworks for coordinated multi-robot systems He advises over 10 PhD candidates and has pioneered UWB sensor networks for industrial applications. Current work focuses on bridging simulation-to-reality gaps in drone swarm development and optimizing cellular connectivity for aerial vehicles.
Melanie Marianne Schranz is a researcher at the Institute of Networked and Embedded Systems within the Faculty of Technical Sciences at Alpen-Adria-Universität Klagenfurt. Her work focuses on interdisciplinary areas at the intersection of Artificial Intelligence Electrical Engineering Computer Simulation Pervasive Computing Distributed Systems . She is actively involved in teaching activities at the university, as indicated by her affiliation under the "Lehre" (Teaching) category. Her research interests span cutting-edge technological domains, particularly those related to networked and embedded systems. She is associated with ongoing projects focusing on AI applications distributed systems pervasive computing technical innovations at the university. Melanie Schranz can be contacted via email at Melanie.Schranz@aau.at . Her professional profile is publicly accessible through the university's website at http://nes.aau.at/ .
Konstantin Warneke is a Senior Researcher at the Department of Computer Science, Alpen-Adria-Universität Klagenfurt. His work focuses on robotics, multi-agent systems, and automation. While his formal teaching role at the university has concluded, he remains active in research projects such as 'Heterogeneous multi-agent localization' and 'Wind Turbine Blade Inspection Using Multimedia Drones,' funded by agencies like FFG and OeAD. His research spans radar technology, swarm intelligence, and edge-cloud computing, with recent publications in journals like Physical Review E and IEEE Sensors Journal. He collaborates on interdisciplinary projects addressing sustainability, automated systems, and media studies. Notably, his work emphasizes applied research with industry partners such as Infineon Technologies and NOI AG, contributing to practical innovations in fields like agricultural monitoring and renewable energy.
Florian Eibensteiner is a Professor at the University of Applied Sciences Upper Austria (FH Hagenberg). He is affiliated with the Research Center Hagenberg and leads initiatives in the Center of Excellence for Medical Engineering/TIMed and Smart Production Embedded Systems. His research focuses on smart textiles, embedded AI systems, sensor technology, and wearable devices. He has contributed to projects addressing aging effects in smart textiles (SMART-TEX AGING) and embedded AI on resource-limited devices (JRZ Embedded AI). Education: Not explicitly stated in the provided text. Key research interests include conductive textiles, textile sensors, and embedded systems security. His work bridges ICT, medical engineering, and societal innovation through projects like EmSense, which develops embedded sensor platforms for human motion detection. Notable collaborations span Austria, with a focus on applied research in smart textiles and embedded systems. His projects are funded by institutions like the Josef-Ressel-Center and FFG Bridge. He actively participates in conferences and serves on academic committees, such as the 8th IC-SCCE conference. Florian leads labs and teams within FH Hagenberg’s research centers, emphasizing practical applications of sensor technology and AI.
Raimund Edlinger is a research-focused academic at the University of Applied Sciences Upper Austria, Wels campus, affiliated with the Research Center Wels. He leads the Center of Excellence for Automotive/Mobility and Smart Production, with specialized focus areas in Digital Transformation, Rail Automation, Telematics, and Smart Automation and Robotics. His interdisciplinary work bridges engineering and practical robotics applications across diverse environments. Edlinger's research centers on advancing robotics for real-world challenges, particularly in GNSS-denied scenarios and hazardous environments. His expertise spans autonomous navigation, sensor fusion (LiDAR, thermal imaging, tactile systems), and human-robot interaction, with significant contributions to rescue robotics, underground mapping, and space analog missions. Recent work emphasizes digital twin applications for Mars simulations and tactile terrain assessment to enhance robot mobility in complex terrains. Analysis of his publication trends reveals a strategic shift toward multi-sensor integration for reliability in adverse conditions (e.g., smoke, narrow tunnels, Mars analogs). His 2022-2025 output shows concentrated effort in practical deployment challenges: casualty evacuation systems, nuclear disaster response, and cost-effective sensing solutions, reflecting strong industry and emergency response collaboration. His competitive robotics achievements include: 1st place EnRicH 2021 (Manipulation category) Multiple RoboCup podium finishes (2015-2022) in Rescue League and Best-in-Class Manipulation German Open championship recognitions across five consecutive years Edlinger directs significant research initiatives including the active MOBES project (Mobile Erdstall Scanner, 2025-2026), MARK Racing Team, and Autility platform development, funded by Austria's Climate and Energy Fund and ICT programs. He supervises student research while contributing to national robotics strategy through activities like ÖBFV Führungsseminar workshops on digitalization. His work is operationalized through the RRT-Roboto-Racing Team and specialized labs within Research Center Wels, featuring underground structure simulators, Mars analog testbeds, and sensor calibration facilities for extreme environments. Current projects integrate 5G communication and AI-driven manipulation for next-generation rescue systems.
Thomas Schlechter is a Professor at Fachhochschule Wels (University of Applied Sciences), Austria. He holds academic roles in multiple centers of excellence including Automotive/Mobility, Food Technology and Nutrition, and Smart Production. His professional roles include serving as Brew Youngster Scout for BierIG Österreich and member of its executive board, alongside fisheries association roles. Education includes advanced certifications: Diplom Biersommelier (2023) and Diplom Brauerei Sensoriker (2023) from Kiesbye Akademie. His research focuses on AI applications in brewing industries, mechatronics, digitization trends, and Industry 5.0 implementations. Recent work explores blockchain adoption barriers in international trade and radar-based gesture recognition systems. He leads the PhD project 'Daniel Louback - PhD Project' (2022–2025) as Principal Investigator. Key awards include specialized brewing certifications. Recent presentations include invited talks on AI's impact in brewing at international conferences across Europe. Current initiatives involve developing human-centric smart brewing plants integrating advanced manufacturing technologies. Collaborations span academic and industrial partners in mechatronics education and production system innovation.
Professor Marco Mondelli is a faculty member at the Institute of Science and Technology Austria (ISTA), where he has been employed since 2019. He was promoted from Assistant Professor to full Professor in 2025. His research focuses on machine learning, high-dimensional statistics, data science, information theory, and modern coding theory. He maintains affiliations with the ELLIS network as an ELLIS Member and collaborates extensively across European institutions. His research interests span theoretical foundations of machine learning with particular emphasis on high-dimensional phenomena, neural network theory, information limits in statistical inference, and applications in quantitative genetics. He has made significant contributions to understanding neural collapse phenomena, spectral methods for high-dimensional estimation, and privacy-preserving machine learning in overparameterized regimes. His work combines rigorous mathematical analysis with practical applications in modern AI systems. Mondelli's recent publications demonstrate strong trends in theoretical machine learning, particularly analyzing the behavior of deep neural networks, developing optimal estimation algorithms for high-dimensional problems, and establishing fundamental limits for various learning tasks. His research bridges statistical physics approaches with modern machine learning theory. ERC Starting Grant recipient for project "Inference in High Dimensions: Light-speed Algorithms and Information Limits" Co-organizer of the "Youth in High Dimensions" conference series Editor for IEEE BITS special issue on Generative Models Associate Editor for IEEE Transactions on Information Theory Professor Mondelli actively mentors PhD students and postdoctoral researchers, currently supervising seven PhD students and one postdoc. His group has secured significant funding through the ERC Starting Grant, supporting multiple positions at all levels. He serves on program committees for top machine learning conferences including NeurIPS, ICML, and ICLR, and has organized workshops on high-dimensional learning dynamics.
Bernd Bickel is a Full Professor for Computational Design at ETH Zurich, embedded in the Design++ research center. He holds a Master's degree from ETH Zurich and a PhD from ETH Zurich under Markus Gross. Previously, he was at IST Austria (2015–2023), Disney Research, and TU Berlin as a visiting professor. His research focuses on computational design, digital fabrication, and simulation, with applications in robotics, computer vision, and material science. Key interests include physics-based simulation, geometry processing, and interdisciplinary engineering. Notable awards include the Academy of Motion Picture Technical Achievement Award (2019), SIGGRAPH's Significant New Researcher Award (2017), and the EUROGRAPHICS Best PhD Thesis (2012). He leads the Computational Design Lab at ETH Zurich and collaborates with institutions like Inria Nancy on projects such as MFX team collaborations. His work spans academic contributions (over 50 publications) and industrial applications, including the FlexMaps Pavilion (First Prize at IASS 2019) and computational tools for 3D printing. He actively mentors PhD students and oversees grants like ERC Starting Grant 'Materializable'.
Jakob Lechner is an External Lecturer in the Computer Engineering department at Vienna University of Technology. His work focuses on fault-tolerant digital circuit design, asynchronous systems, and robust hardware architectures. Education : PhD in Computer Engineering (2014), Diploma in Computer Engineering (2008) Research interests include: Fault-tolerant computing Asynchronous circuit design Transient error mitigation in FPGAs Triple Modular Redundancy (TMR) Metastability containment Single Event Transients (SET) resilience His publications (2006–2018) emphasize fault injection techniques, robust GALS circuits, and asynchronous communication protocols. Key projects include Intel CARS (2017–2019) on delay-insensitive codes. Supervision : Guided K. D. Pados' thesis on AXI4 bus systems (2013).
Yang Liu is a PreDoc Researcher at the Embedded Computing Systems group (Institute of Computer Engineering, Faculty of Informatics) at TU Wien, actively teaching courses including Advanced Computer Architecture and Computer Engineering projects/practicals. His office is located at Treitlstrasse 3, Room DE0210. His research centers on Embedded Systems and Computer Architecture, with specialized focus on Extended Reality (XR) and 6G Networks. He investigates scalable multi-user interaction for heterogeneous XR devices and AI-native network architectures for next-generation telecommunications, emphasizing practical implementations in distributed computing environments. Mr. Liu's 2024 IEEE Network publications reveal converging trends in XR scalability and AI-driven network design, highlighting cross-disciplinary integration of embedded systems, real-time networking, and machine learning. His work prioritizes bridging theoretical frameworks with hardware-aware solutions for emerging technologies. As a core member of TU Wien's Embedded Computing Systems research team, he contributes to both academic instruction and cutting-edge projects in cyber-physical systems, with future work likely extending into AI-optimized network architectures and immersive multi-device interaction frameworks.
Peyman Mohseni Kiasari is a PreDoc Researcher at the Cyber-Physical Systems institute (E191-01) of Vienna University of Technology, focusing on interdisciplinary research blending Machine Learning and Neuroscience . Currently working on the MATTO-GBM project (2024–2027), he investigates depthwise convolutional architectures for their biological plausibility and interpretability. Active in Computer Vision and Neural Network Optimization Contributing to research on Biological Receptive Fields and Kernel Clustering His work bridges computational models with neuroscientific principles, aiming to enhance AI systems' transparency and biological alignment. Recent publications highlight trends in depthwise convolutional kernels for feature extraction and neural network interpretability . Current affiliations: Vienna University of Technology (Cyber-Physical Systems, E191-01).
Gábor Recski is a computational linguist and postdoctoral researcher at TU Wien's Faculty of Informatics, affiliated with the Data Science Research Unit. He holds a PhD and previously served as an assistant professor at the Budapest University of Technology. His research focuses on natural language processing (NLP), particularly computational semantics and transparent information extraction. He teaches courses such as Natural Language Processing and Information Extraction, and supervises students at BSc, MSc, and PhD levels. His work includes over 50 peer-reviewed publications and projects like BRISE-Vienna (2019–2025) and Honeypot LLM: Creation of a Scam Conversation Dataset. Roles: PostDoc Researcher, Substitute Member of Faculty Council, Substitute Member of Curriculum Commission for Business Informatics Education: PhD (previous role at Budapest University of Technology) Research Interests: Transparent information extraction, semantic modeling, legal text analysis, and explainable AI His research projects span legal corpus construction (e.g., BRISE-plandok), offensive text detection, and AI applications in legal research. He actively contributes to conferences like ACL, EMNLP, and SIGIR. Supervised students have explored topics ranging from explainable prediction models to graph-based relation extraction.
