Dr.techn. Ba Lam is a researcher affiliated with the Network Lab at Technische Universität Wien (TU Wien). His work focuses on advancing data integration methodologies, semantic web technologies, and open data exploration systems. Key contributions include the development of platforms like StatSpace and Linked Widgets, which facilitate statistical data analysis and dynamic integration of heterogeneous datasets. He has actively participated in collaborative projects addressing challenges in linked data provenance, environmental data systems, and distributed data mashups. His research emphasizes practical applications such as data journalism tools and semantic stream processing for real-world scenarios. Ba Lam has co-authored numerous publications in high-impact conferences, demonstrating expertise in areas like widget-based data exploration, autocomplete annotation systems, and environmental information systems. His work often bridges theoretical advancements with user-centric design principles to enhance accessibility of complex data ecosystems.
Manuela Waldner is an Assistant Professor (tenure track) at TU Wien's Department of Computer Graphics and Visualization. She leads research in visual interfaces for exploring large-scale data, focusing on human-computer interaction and attention guidance in complex visualizations. Her work spans academic roles including Visualization Group membership and PhD Program Visual Heritage involvement. Research interests include: Interactive data exploration Guided visual attention mechanisms Emerging display environments (VR, multi-display systems) Publications emphasize practical applications of visualization techniques in domains like geographic data, medical imaging, and collaborative analytics. Notable projects include weBIGeo (geographic visualization) and Deskollage (visual information foraging). Awards include the Best Paper Award at EuroVA 2024 . Teaching roles include courses on Information Visualization , Computer Graphics , and Visual Computing . Active in academic service through program committees and editorial roles.
Camille Schreck is a researcher in Computer Graphics currently holding an Inria Starting Faculty Position (ISFP) at Inria Nancy within the MFX Team. She has been actively contributing to the field of computer graphics with a focus on physics-based simulation and geometric modeling since completing her PhD in 2016. Her educational background includes an engineering degree from ENSIMAG (Grenoble INP) in 2013, followed by a PhD at the University of Grenoble-Alpes supervised by Stefanie Hahmann and Damien Rohmer. Between 2016 and 2020, she conducted postdoctoral research at IST Austria in Chris Wojtan's group. Dr. Schreck's research spans physics-based simulation of natural phenomena, geometric modeling, and computational fabrication techniques. Her work demonstrates particular expertise in simulating deformable materials like paper, water dynamics, and developing novel methods for 3D printing and shape manipulation. She has successfully bridged theoretical computer graphics with practical applications in digital fabrication. Her publication record shows consistent high-impact contributions to top computer graphics venues including SIGGRAPH, Eurographics, and Computer Graphics Forum, with recent work focusing on star-shaped particle simulation, self-shaping 3D printed structures, and efficient mesh processing techniques. The progression of her research demonstrates a clear trajectory from fundamental paper simulation to increasingly complex physical phenomena and fabrication methods. Young Research Fellow of Eurographics France (YFR EGFR) - 2024 Dr. Schreck serves on numerous program committees including SIGGRAPH, Eurographics, and Shape Modeling International. She teaches courses in computer graphics and parallelism at ENSG-GeoRessources and Telecom Nancy, both part of Université de Lorraine. Her teaching spans from 2020 to the current 2024-2025 academic year. As a member of the MFX research team at LORIA (Inria Nancy), she collaborates on advancing the state of the art in physics-based animation and geometric modeling, with her StarDEM project representing a significant contribution to particle simulation methods.
Markus Gutmann is a Lecturer at the Alpen-Adria-Universität Klagenfurt , affiliated with the Department of Networked and Embedded Systems . His work centers on networked systems and embedded systems, with interdisciplinary applications in computer science and systems engineering. Contact: Email: markus.gutmann@aau.at
Hermann Astleitner is an Associate Professor at the Department of Educational Science within the Faculty of Social Sciences at Paris-Lodron-University of Salzburg. He leads the Digital Learning Research Group (DLRG) and the Educational Theory Building Lab, focusing on contemporary educational challenges in the digital age. His academic career spans over three decades with significant contributions to educational theory and practice. Ao.Univ.-Prof. Astleitner completed his diploma and doctoral studies in Education between 1984-1992, earned his Habilitation in Educational Research in 1996, and has held his Associate Professor position since 1997. He was considered for full professorships at prestigious institutions including TU Dresden (1999), University of Erfurt (2002), and Universities of Linz and Klagenfurt (2005). His research interests span Instructional Design , Educational Technology , Human Development and Education , and Research Methods . Astleitner's work bridges theoretical frameworks with practical applications, particularly in digital learning environments. His recent focus includes social media's impact on learning, big data in educational research, and developing theories for contemporary educational challenges. His publication trends reveal a strong focus on digital learning contexts, with increasing attention to AI's role in education, social media's psychological impacts, and theoretical frameworks for educational crises. His work consistently connects educational theory with practical applications in school development. Kurt Gödel -Stipendiat (1990) Astleitner actively serves on numerous editorial boards including Computers & Education, Learning & Instruction, and Computers in Human Behavior. He has extensive experience reviewing for major funding organizations such as Deutsche Forschungsgemeinschaft and Swiss Science Foundation. His third mission activities include teaching training programs across Luxembourg, Switzerland, and Austria. He leads the Educational Theory Building Lab, which focuses on developing theoretical frameworks for social sciences with recent work on multidimensional engagement in learning, digital learning theories, and the cascade theory of educational crises. His current research projects include Critical Thinking 2.0 in the age of AI and Cognitive neglect and advice resistance.
Renata Santiago-Walser is a Researcher affiliated with the Research Center Innsbruck Decision Sciences at the University of Innsbruck. She holds a position in the Department of Information Systems, Production and Logistics Management. Her work focuses on digital wellbeing, algorithmic management, digital nudging, and crowdsourcing, employing methods like experimental data analysis and causal mediation analysis. Team Members: Ulrich Remus, Alexander de Jong, Frederik Wiedmann, Kathrin Figl Her research has been recognized, including the 2019 THCI Best Paper Award for her work on digital nudges. She emphasizes societal challenges like sustainability and values knowledge exchange through IDS collaboration. Santiago-Walser balances research with teaching, viewing it as a means to share knowledge. Personal interests include family time and avoiding arrogance.
Ecaterina Sava-Huss is a Full Professor in Mathematics at the University of Innsbruck, Austria, affiliated with the Department of Mathematics within the Faculty of Mathematics, Computer Science and Physics. She holds a PhD from Graz University of Technology (2010) and a Habilitation in Mathematics (2019). Previously, she served as an associate professor and tenure-track assistant professor at the University of Innsbruck, and as an assistant professor and visiting scholar at institutions including TU Graz and Cornell University. Her research focuses on stochastic processes, particularly random walks and rotor walks on graphs, fractals, and aggregation models. Key interests include the interplay between structural properties of infinite state spaces and stochastic processes. She has organized conferences such as the Austrian Stochastics Days and is the outreach coordinator for the Institute of Mathematics, engaging in public science initiatives like the MIP Day and Girls' Day. Her funding includes an FWF Grant P34129 (2021–2025) on growth models and quasi-random walks, and a prior Erwin Schrödinger Fellowship (2015–2016). She has supervised numerous PhD and Master’s students, with research topics ranging from branching processes to quantum probability. Her work has been published in journals such as Advances in Applied Probability , Bernoulli , and Journal of Fractal Geometry .
Univ.-Prof. Dr. Wolfgang Lechner is a Professor at the Institute of Theoretical Physics at the University of Innsbruck, leading the Quantum Computing research group. His work focuses on theoretical and applied aspects of quantum computing, including quantum algorithms, quantum annealing, and error correction using Rydberg atoms. He holds a prominent role in advancing parity-based quantum architectures and their implementation in scalable quantum systems. Research interests include developing novel quantum algorithms for optimization problems, fault-tolerant quantum computing frameworks, and hardware-aware design of quantum circuits. His contributions span theoretical physics, computer science, and engineering, addressing both fundamental principles and practical implementations of quantum technologies. Key trends in his recent articles emphasize parity-based architectures, multi-qubit gate operations, and applications in solving industrially relevant optimization challenges. The body of work highlights innovation in quantum error mitigation, algorithm parallelization, and scalable hardware implementations. While no specific awards are listed, his active research output reflects significant contributions to the field. He advises students and collaborates on grants related to quantum computing fundamentals and applications, though explicit details are not provided in the text. Lechner's research group actively explores quantum annealing, variational methods, and the interplay between quantum systems and classical control mechanisms, positioning his work at the forefront of modern quantum computing research.
Michael Quell is a Researcher at the Microelectronics Research Department (E360-01) at TU Wien. His work focuses on numerical methods for semiconductor process simulation, including level-set techniques, hierarchical mesh processing, and high-performance computing. He holds a Dipl.-Ing. (Master's equivalent) and a Dr.techn. (PhD) in technical sciences. His research emphasizes parallel algorithms for material flow simulation, adaptive mesh refinement, and TCAD applications. Education: Dipl.-Ing. and Dr.techn. in Technical Sciences Research interests span computational engineering, numerical analysis, and semiconductor fabrication modeling. Key contributions include shared-memory parallel implementations of the Fast Marching Method, hierarchical re-distancing algorithms, and feature detection for topography simulations. His work often addresses challenges in nanoscale fabrication processes and multi-material wet etching. Collaborations involve projects on parallel mesh adaptation frameworks and quantum transport simulations. He has contributed to advancing computational tools for semiconductor process design and manufacturing optimization.
Prof. Dr. Hunger Brezinova is an Assistant Professor at TU Wien's Institut für Theoretische Physik. Her research focuses on quantum many-body systems, strong-field atomic physics, and reduced density matrix methods. She leads projects on adaptive quantum propagation techniques and two-particle density matrix theories for attosecond correlation dynamics. Main Affiliation: E136 - Institut für Theoretische Physik Key Research Areas: Attosecond Science, Quantum Correlations, Non-Equilibrium Dynamics, Strong Laser Fields Her work bridges theoretical developments with computational methods, particularly in simulating ultrafast electron dynamics in atoms and condensed matter systems. Recent studies include ionization processes in helium, fermionic Hubbard models, and coherence effects in Bose-Einstein condensates. Publications highlight advancements in density matrix formalisms and their applications to non-equilibrium systems. She advises PhD students like Stefan Donsa and Fabian Lackner, contributing to foundational studies in quantum many-body theory.
Albert Rafetseder is affiliated with the Faculty of Computer Science and the Research Group Cooperative Systems . He holds academic qualifications including Dr.techn., Bakk. (FH), and MSc degrees. His research focuses on mobile device technologies, networking performance evaluation, IoT systems, and ecodesign principles. Rafetseder has been actively publishing since 2010, with notable work in 2024 including contributions to IoT upgradeability frameworks and duplex communication protocols. His research fingerprints highlight expertise in service provider systems, control plane analysis, and qualitative/quantitative data methodologies. Collaborations span technical and interdisciplinary domains, evidenced by patents and conference contributions. Recent activities include public talks on digital ethics and privacy in online platforms.
Dr. Daniel Page is a Senior Lecturer in Computer Science at the University of Bristol, specializing in Cryptography and Information Security. His research bridges cryptographic engineering, hardware/software security, and programming language design. Research interests: Cryptographic engineering (hardware and software implementation of cryptographic primitives), side-channel attacks, fault attacks, secure processor architectures, domain-specific compiler optimizations for cryptography (e.g., AES, ECC), and cross-disciplinary studies in software defects and game glitch analysis. Recent research trends focus on hardware/software co-design for security, including novel instruction set extensions (ISEs) to mitigate leakage in masked implementations and protect against cache-based side-channel attacks. His work spans both theoretical and applied domains, with collaborations in digital security policy and embedded systems. Projects include DiScriBe (Digital Security by Design Social Science Hub, 2020–2024) and EPSRC-funded initiatives (2019–2022/2023). He has contributed datasets like GMOPST14 (University of Bristol, 2014).
Wolfgang Straub is a part-time lecturer and researcher in German Studies, currently affiliated with the University of Vienna and the University of Salzburg. He holds a PhD and Master’s in German Studies from the University of Vienna and has held project leadership and research positions at Alpen-Adria-Universität Klagenfurt, Danube University Krems, and the University of Vienna. His academic work centers on Austrian literature, intermediality, and digital humanities. PhD in German Studies, University of Vienna (2001) Mag. in German Studies, University of Vienna (1991) His research interests include Austrian post-war literature, digital scholarly editions, intermediality, and literary networks. He is particularly known for his work on Werner Kofler, Hans Weigel, and Elisabeth Löcker. His work bridges traditional literary scholarship with digital innovation, especially in annotated and multimedia editions. The most recent publications reflect a strong focus on annotated editions, intermedial analysis (especially between literature, music, and radio), and the role of key cultural mediators in post-war Austria. His scholarly output combines monographs, journal articles, and digital interactive resources, showing a clear trajectory toward digital and collaborative humanities. Wolfgang Straub has not received any explicitly mentioned scientific awards in the provided text. He has led multiple externally funded research projects, primarily through the Austrian Science Fund (FWF), including the annotated complete works of Werner Kofler and studies on remigration and literary networks. While no formal advisees are listed, his collaborative projects involve significant team-based research. He contributes extensively as an editor, writer, and project leader. He leads the Forschungsplattform Werner Kofler and has been involved in creating digital research environments and interactive editions, particularly through FWF-funded projects. His work often involves interdisciplinary teams focused on digital publishing, textual scholarship, and literary history.
Andrea M. Tonello is a Full Professor at the Institute of Networked and Embedded Systems, University of Klagenfurt, Austria, where he chairs the Embedded Communication Systems Lab. He previously held positions at the University of Udine, Italy, where he was an Associate Professor and founded the Wireless and Power Line Communication Lab (WiPLi Lab). His research spans power line communications, wireless systems, embedded communications, smart grids, and machine learning applications in signal processing. Doctor of Engineering, University of Padova (1996) Doctor of Research, Telecommunications, University of Padova (2003) His research interests focus on next-generation communication systems, including power line and wireless networks, signal processing, machine learning for communications, UAV systems, and smart grid technologies. He has made significant contributions to PLC channel modeling, full-duplex communications, and information-theoretic learning for communication systems. His work integrates theoretical innovation with practical implementation in real-world networks. The most recent publications highlight a strong trend toward integrating machine learning and information theory into communication systems, particularly in power line and wireless networks. Themes include f-divergence based classification, mutual information estimation, neural decoding (MIND), noise-robust receivers, and topology-aware machine learning for PLC quality prediction. There is also a notable focus on UAV control, full-duplex PLC, and digital pre-distortion techniques for high-speed converters. IET 2016 Premium Award Best Paper Award, ISPLC 2016 Best Student Paper Award, ISPLC 2016 Aerospace Best Paper Award, 2018 Best Paper Award, ISPLC 2021 Best PhD Dissertation Award, 2019 IEEE ComSoc Distinguished Lecturer (2018) Two Awards from IEEE ComSoc TC-PLC (2019) University of Klagenfurt Technology Scholarships (2019) Dr. Tonello has supervised numerous PhD and Master’s students, including notable advisees such as Nunzio A. Letizia, Davide Righini, and Babak Salamat. He has led over 10 institutional and multiple industrial research projects with a total funding exceeding 20 million euros. He played a key role in promoting international academic collaboration, including Erasmus agreements, joint PhD programs with INSA Rennes and Ecole Polytechnique de Grenoble, and a joint master’s program with the University of Klagenfurt. He founded and led the WiPLi Lab at the University of Udine, which received around 3 million euros in funding and involved over 60 researchers and students. He also founded WiTiKee s.r.l., a spin-off company specializing in PLC for smart grids. Currently, he chairs the Embedded Communication Systems Lab at the University of Klagenfurt, focusing on next-generation networked and embedded communication technologies.
Frank Pallas is a Professor at the Paris Lodron University of Salzburg, affiliated with the Faculty of Digital and Analytical Sciences. His research focuses on Privacy Engineering and Policy-Aligned Systems (PEPSys), integrating technical and legal aspects of emerging technologies. Education: Dipl.-Inform. and Dr.-Ing. in Computer Science from TU Berlin His work emphasizes techno-legal privacy engineering , policy-alignment mechanisms , and experimental assessment of privacy techniques , addressing anonymity, utility metrics, and societal impacts. Recent publications explore data anonymization, GDPR compliance, and privacy in distributed systems. Key projects include co-leading Salzburg's EXDIGIT initiative for digital sciences. Activities span organizing international workshops on privacy engineering, media contributions, and third-mission engagements like public lectures on digital privacy.
