University of Applied Sciences Wiener NeustadtAustria
Cornelia Schneider is a Professor and Head of the Institute of Computer Science at the University of Applied Sciences Wiener Neustadt. She leads research in digital health and care technologies, focusing on applications like Augmented Reality, sensor data analysis, and social robotics for vulnerable populations. Her work emphasizes user-centered design and has been supported by projects funded by FFG and the Active Assisted Living Programme. Her research spans telemedicine infrastructure, elderly care robotics, and health monitoring systems. Notable projects include 24/7-Digital (2023-2026), Care about Care (2021-2023), and AgeWell (2019-2022). She has pioneered solutions like CARU cares and DigiCare training programs. Dr. Schneider has been recognized with the AAL Award (2014) and the tecnet | accent Innovation Award (2021). She coordinates interdisciplinary teams and actively participates in conferences like Health Informatics Meets Digital Health. Her lab collaborations include FOTEC and Salzburg Research, where she previously led the e-Health Competence Center until 2019.
Georges Gielen is Full Professor in the Department of Electrical Engineering (ESAT) at KU Leuven, Belgium, and part-time Research Director at imec. He has held multiple leadership roles including Chair of ESAT Department (2012-2013, 2020-2024) and Vice-Rector for Science, Engineering & Technology (2013-2017). His academic career spans over 30 years at KU Leuven, progressing from Assistant to Full Professor. His research focuses on analog and mixed-signal integrated circuit design automation , with expertise in CAD tools, design optimization, sensor interfaces, and neuromorphic systems. His work bridges hardware design with machine learning, particularly in hardware-efficient AI implementations and biomedical applications. He has pioneered techniques for automated analog circuit sizing, topology synthesis, and reliability-aware design in nanometer CMOS. Gielen has received numerous accolades including the IEEE CAS Mac Van Valkenburg Award (2015), IEEE CAS Charles Desoer Award (2020), and EDAA Achievement Award (2021). He holds an ERC Advanced Grant AnalogCreate and is an IEEE Fellow since 2002. As a prolific scholar, he has chaired major conferences including DATE (2006), ICCAD (2007), and ESSCIRC (2017). He has graduated over 55 PhD students through the MICAS research group at KU Leuven, currently supervising 13 doctoral candidates. His research team collaborates extensively with imec and industry partners on cutting-edge projects in carbon-aware AI accelerators, uncertainty-aware design, and neuromorphic sensor interfaces.
Efstathia Bura is a Professor heading the Applied Statistics Research Unit (ASTAT) within the Institute of Statistics and Mathematical Methods in Economics at TU Wien's Faculty of Mathematics and Geoinformation. Her research focuses on dimension reduction techniques in regression and classification, high-dimensional statistics, and their applications in biostatistics, econometrics, and legal statistics. She leads projects like ProbInG (WWTF-funded) and the SecInt Doctoral College on statistical verification of cyber-physical systems. Her work integrates advanced statistical methodologies with interdisciplinary applications, emphasizing practical solutions for complex data challenges. Current projects explore probabilistic program analysis, security properties in cyber-physical systems, and dynamic econometric modeling. She collaborates internationally, with notable contributions to statistical theory and applications in law, healthcare, and telecommunications. Key research themes include time-varying regression models, sufficient dimension reduction for mixed predictors, and fusion of statistical methods with machine learning. Her publications bridge theoretical advancements and real-world problem-solving, reflecting her role as a leading academic in modern applied statistics. Her team includes postdocs and assistants working on WWTF and SecInt grants, focusing on probabilistic systems and statistical verification. While no formal student advisees are listed, her collaborative projects engage junior researchers in cutting-edge statistical research.
Matteo Bosco is a PreDoc Researcher at the Department of Software Technology and Interactive Systems, TU Wien, within the Virtual and Augmented Reality group. His work focuses on advancing human-computer interaction in immersive environments, particularly through conversational agents, neurotechnology integration, and circular economy frameworks. He contributes to the Circular Twin research project, addressing sustainable building design through digital twins and generative algorithms. Education & Roles: PreDoc Researcher (PhD candidate) at TU Wien Research Interests: His primary areas include: VR/AR interfaces enhanced by large language models BCI-driven human-robot interaction systems Procedural building design using conversational AI Sustainable architecture via circular twin frameworks He explores how immersive technologies can bridge human-centric design with computational efficiency, emphasizing accessibility and environmental sustainability. Key Projects: Circular Twin (2022–2025): Developing digital ecosystems for circular buildings using BIM and VR. Neurotag Visualization Media: Comparing AR/VR/monitor-based BCI interfaces. Labs & Teams: Active in the Mixed Reality Lab and collaborates with the Virtual Meeting Room initiative at TU Wien.
Yusuf Leblebici is a Turkish academic and current President of Sabanci University (2018-present), reappointed in December 2022. He previously served as a Chair Professor and Director of the Microelectronic Systems Laboratory at EPFL, Switzerland (2002-2018), and held academic roles at Worcester Polytechnic Institute (1997-1999), Istanbul Technical University (1993-1997), and the University of Illinois at Urbana-Champaign (1991-2000). His career spans microelectronics, VLSI design, and neuromorphic systems. BSc and MSc in Electrical Engineering from Istanbul Technical University (1984, 1986) PhD in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign (1990) His research focuses on low-power integrated circuits , VLSI design , sensor interfaces , semiconductor modeling , and neuromorphic computing . He has co-authored over 400 scientific articles and seven books, including two internationally acclaimed textbooks. Scientific Awards : 2020 ECE Distinguished Alumni Award (UIUC) 2009 IEEE Fellow 2009 IEEE Distinguished Lecturer 1999 WPI Satin Distinguished Fellow Award 1995 Turkish TUBITAK Young Investigator Award He has graduated 58 PhD students and over 100 MSc students, and played a pivotal role in establishing Sabanci University's Microelectronics Program (1999-2002) and directing EPFL's Microelectronic Systems Laboratory (2002-2018). As Sabanci University President, he has enhanced global visibility, attracted international talent, and strengthened global collaborations.
Nadiia Gumerova , PhD, is a researcher at the Institute of Biophysical Chemistry under the Faculty of Chemistry at the University of Vienna , Austria. Her work focuses on polyoxometalate chemistry, including targeted synthesis, structural analysis, and biomedical applications. She has published extensively on aqueous speciation, metal-substituted polyoxometalates, and their interactions with proteins and biological systems. PhD in Inorganic Chemistry (2014), Donetsk National University Post-doctoral fellow (2019–present), University of Vienna Lise Meitner fellow (2017–2019), University of Vienna Her research interests encompass polyoxometalate design, structural transformations in biological environments, and development of bioactive materials. Recent work includes studies on vanadate-protein interactions, antibiotic activity of Preyssler-type clusters, and enzyme inhibition by polyoxotungstates. Publications (15 most recent) highlight trends in polyoxometalate speciation under varying ionic strengths, biomedical applications of Anderson-Evans and Keggin-type derivatives, and structural insights into metal-substituted tungsten clusters. Keywords span Inorganic Chemistry , Biochemistry , and Materials Science . Grants include the FWF Meitner Program M2203 (2017–2019) and FWF Stand-Alone Project P33927 (2021–2023). She collaborates with the RompelLab and contributes to interdisciplinary projects applying inorganic chemistry in biological contexts.
Michael Bleyer is a Researcher in the Department of Computer Vision at the Technische Universität Wien (TU Wien), affiliated with the Faculty of Informatics. His work focuses on advanced imaging technologies, particularly in stereo matching, sensor design, and applications in augmented/mixed reality. He has contributed to projects funded by the Vienna Science and Technology Fund (WWTF), Austrian Science Fund (FWF), and the Federal Ministry of Transport, Innovation, and Technology (bm:vit). Education: Diplom-Ingenieur (Dipl.-Ing.) from TU Wien (2002), followed by a Dr.techn. (PhD) thesis on 'Segmentation-based stereo and motion with occlusions' (2006). He has supervised four students, including Armin Haßlacher (2012), Gregor Braun (2011), Roman Gross (2009), and Christian Rhemann (2005). Research Interests: Bleyer’s work bridges theoretical computer vision and practical sensor engineering. Recent trends emphasize SPAD-based imaging systems for low-light environments and head-mounted displays, addressing challenges like dark current compensation and temporal filtering. Earlier contributions include global stereo matching algorithms, optical flow estimation, and 3D scene reconstruction. Grants and Advising: Projects include Temporal-Consistent Stereo Matting (2009–2015, WWTF) Energy Functions for Global Stereo Matching (2007–2012, FWF) Video Engine Design Methodology (2006–2015, bm:vit) His advising spans topics like color in stereo matching and image filtering optimization.
Dr. Markus Tatzgern serves as Professor for Mixed Reality and Game Development and Head of Research at the Department for Creative Technologies, Salzburg University of Applied Sciences. He leads the Digital Realities Lab, a multi-disciplinary research group focused on human-centered solutions at the intersection of software, design, and creative engineering for technology interaction. His academic foundation includes a Master of Science and Doctorate with highest distinction from Graz University of Technology. He furthered his expertise through post-doctoral research at the Christian Doppler Laboratory for Handheld Augmented Reality, recognized as a world-leading facility in mobile AR. Tatzgern's research spans Augmented Reality, Virtual Reality, Mixed Reality, and Human-Computer Interaction with emphasis on practical applications. His work addresses critical challenges in view management, haptic feedback systems, industrial procedure visualization, medical imaging interfaces, and game development. Key contributions include novel techniques for eye-perspective rendering, breathing-based VR interaction, and latency compensation in medical robotics. His publication trajectory reveals evolving focus from foundational AR visualization (2010-2016) toward applied XR solutions in healthcare, industrial training, and user experience optimization (2017-2024). Recent work demonstrates increasing integration of physiological inputs, real-world safety applications, and enterprise-grade XR prototyping. Scientific recognition includes: Honorable Mention for Best Paper at CHI 2022 for 'AirRes Mask' breathing interface Honorable Mention for Best Paper at IEEE 3DUI 2017 for adaptive rendering techniques As Head of Research, Tatzgern actively shapes the field through program committee roles and peer review for top venues including ACM CHI and IEEE VR. His four patents in AR visualization demonstrate translational impact from academic research to practical applications. The Digital Realities Lab operates as an innovation hub where software engineers, designers, and creative technologists collaborate on next-generation interaction paradigms. Current projects emphasize medical XR applications, industrial training systems, and accessibility-focused AR solutions for vulnerable populations.
Harald Pretl is a Professor at the Department of Integrated Circuits within the Institute for Integrated Circuits and Quantum Computing at Johannes Kepler University Linz (JKU). Holding the title Univ.-Prof., he maintains active research leadership with current projects extending through 2029 and 107 documented research outputs including patents, articles, and conference proceedings. His research spans integrated circuits, quantum computing, mm-wave transmission, biomedical sensing, and open-source EDA tools. He specializes in high-frequency circuit design, ultra-low-power biomedical sensors, and educational applications of open-source design methodologies for analog/mixed-signal IC development. Recent work demonstrates cross-disciplinary innovation bridging engineering, neuroscience, and artistic expression. Recent publications reveal strong emphasis on practical implementation challenges: THz transmitter efficiency, brain-computer interface applications, ADC performance metrics, and open-source layout automation. These works collectively advance wireless communication systems, biomedical instrumentation, and accessible semiconductor design education through open-toolchain development. Prof. Pretl has supervised 3 students and actively promotes open-source EDA adoption through educational initiatives. His funded projects include Sub-blocks generators for NSSAR ADC (2025-2029), Open Parasitic Extraction for KLayout, and United Micro Technology collaborations, demonstrating sustained industry engagement. He co-leads the JKU LIT - SAL Intelligent Wireless Systems Lab (IWS Lab) and contributes to the High-Performance Integrated Quantum Computing project. Current activities include 42 documented presentations such as 'Using Open-Source EDA Tools in Hands-On IC Design Education' (2025) and 'Recent Developments in Ultra-Low-Power Biomedical Sensing' (2025), reflecting his dual focus on research innovation and pedagogical advancement.
Christian Vogel is a Senior Lecturer affiliated with the Institute for Signal Processing and Speech Communication at TU Graz. His work focuses on advanced signal processing techniques, analog/digital conversion systems, and mixed-signal architectures. Key research areas include time-interleaved ADC error correction, digital predistortion for RF systems, and EVM estimation methodologies. Education: Holds a Dr.techn. (Doctor of Engineering) and Dipl.-Ing. (Diploma in Engineering). His research emphasizes practical applications in mixed-signal systems, including calibration techniques for high-resolution ADCs, nonlinear system compensation, and energy-efficient transmitter design. Recent work explores optimization-based quantization, crest factor reduction in envelope tracking, and adaptive filtering for digital predistortion. Publications span over 15 years, addressing topics ranging from PWM-based RF transmission to all-digital phase-locked loops. His contributions bridge theoretical signal processing with hardware implementation challenges in modern electronic systems. Teaching expertise includes analog and digital signal processing, with authorization to teach at TU Graz. Active in industry-academia collaboration, his work aims to improve system performance in telecommunication and embedded electronics.
University of Applied Sciences Upper AustriaAustria
Hans-Georg Brachtendorf is a Professor at the Research Center Hagenberg Embedded Systems within the School of Informatics, Communications and Media at the University of Applied Sciences Upper Austria - Hagenberg Campus. His work focuses on advanced circuit simulation techniques, RF engineering, and digital signal processing with significant contributions to harmonic balance methods and nonlinear circuit analysis. His research interests span electronic circuit design, RF power amplifiers, digital signal processing, and nonlinear dynamics. Specializing in harmonic balance methods and oscillator circuits, he has developed innovative techniques for steady-state circuit simulation, nonlinear adaptive filtering, and multiplier-less digital filter design. His work bridges theoretical mathematics with practical electronic engineering applications, particularly in THz-wave detection and wireless communication systems. Analysis of his recent publications (2022-2025) reveals a strong focus on nonlinear dynamics identification using symbolic regression, optimization of digital filters through multiplier-less architectures, and governing equation reconstruction from measurement data. His work demonstrates consistent advancement in computational efficiency for circuit simulation while addressing modern challenges in RF and THz technologies. While no specific scientific awards are listed in the available data, his research has generated significant academic impact with 43 publications since 1994 and an h-index reflecting substantial citation influence. Professor Brachtendorf has supervised at least two academic works according to institutional records, though specific student names are not provided. His research activities include collaborations evidenced by joint publications with researchers such as Steiger, Dalpiaz, and Kronberger across multiple institutions. The Research Center Hagenberg Embedded Systems serves as his primary laboratory environment, focusing on digital transformation within ICT strength areas with particular emphasis on circuit simulation and signal processing applications.
Dennis Kurzbach serves as Associate Professor and Deputy Head of the NMR Center at the University of Vienna's Faculty of Chemistry, Institute of Biological Chemistry. His research pioneers magnetic resonance methodologies including NMR, EPR, and hyperpolarization techniques to solve critical challenges in chemical and biological sciences, with significant contributions to biomimetic materials and protein dynamics. His research centers on the structural dynamics of intrinsically disordered proteins (IDPs), peptide-guided biomimetic mineralization (silica/calcium phosphate systems), and hyperpolarization-enhanced NMR for real-time monitoring of transient biological processes. The Kurzbach Spectroscopy Studio develops innovative approaches to observe short-lived intermediates in protein folding, mineral nucleation, and metabolic pathways, bridging biophysical chemistry with materials science through advanced spectroscopic techniques. Recent publications demonstrate a cohesive trajectory toward enhancing NMR sensitivity for biological applications, with hyperpolarization techniques enabling unprecedented observation of fast dynamic processes. Key thematic clusters include biomimetic material synthesis driven by peptide self-assembly, domain-specific spectroscopy for DNA-protein interactions, and machine learning integration for analyzing complex IDP behavior – all converging toward real-time molecular observation in physiological conditions. Professor Kurzbach actively supervises bachelor and master theses across organic, bioinorganic, biological, and biophysical chemistry disciplines while leading post-graduate seminars in chemical and biological chemistry. His laboratory maintains cutting-edge instrumentation through the NMR Center, focusing on methodological innovation that directly impacts structural biology and materials science research.
Mario Huemer is a Professor at the Institute of Signal Processing, Johannes Kepler University Linz (JKU), serving as Principal Investigator for 41 research projects including the Christian Doppler Pilot-Laboratory for Steel Industry Signal Processing and Machine Learning and the JKU LIT - SAL Intelligent Wireless Systems Lab. His expertise spans signal processing applications in wireless communications, radar systems, and machine learning. His primary research interests include: Signal Processing Wireless Communications Radar Systems Machine Learning Joint Communications and Sensing Calibration Techniques Automotive Systems 5G/6G Networks Recent publications reveal strong trends in deep learning for signal processing, robust 5G/6G waveform design, and advanced automotive radar techniques. His work consistently bridges theoretical innovation with industrial implementation, particularly in ADC calibration, I/Q imbalance correction, and joint sensing-communication systems. No scientific awards are listed in the provided information. Huemer has supervised 29 students and leads diverse research initiatives including industry collaborations (e.g., automotive radar systems) and publicly funded projects like the Christian Doppler Laboratory. Current projects focus on radar synchronization (2025-2028), steel industry signal processing (2025-2032), and intelligent wireless systems development (2024-2026). He directs the Intelligent Wireless Systems Lab (IWS Lab), a JKU LIT-SAL collaboration advancing interdisciplinary research in wireless communications, sensing, and machine learning with strong industry partnerships.
University of Natural Resources and Life Sciences ViennaAustria
Norbert Kaiblinger is an Associate Professor at the Institute of Mathematics, BOKU University, Vienna, Austria. His research focuses on applied mathematics, harmonic analysis, and numerical methods, with applications in fluid mechanics, statistics, and chemical engineering. He holds a habilitation in Mathematics from the University of Vienna, granting him teaching authorization in the field. His work bridges theoretical mathematics with practical computational problems, particularly in adsorption modeling and fluid dynamics. Key research interests include multicomponent batch adsorption models, dynamics of subaqueous systems, analysis of variance (ANOVA) methodologies, and special functions. Recent publications (2023–2025) highlight advancements in equilibrium composition calculations and statistical experimental design. His earlier work (2007–2019) explores Fourier analysis, operator theory, and algebraic structures like cyclotomic rings and circulant matrices. While no formal advising relationships or grants are listed, his collaborative research involves co-authors from diverse fields such as chemical engineering and fluid mechanics. Kaiblinger’s work is disseminated through journals like Adsorption, Journal of Fluid Mechanics, and Transactions of the American Mathematical Society.
University of Applied Sciences Technikum WienAustria
Prof. Martin Horauer is a Professor and Head of both the Bachelor in Electronics Engineering and Master in Embedded Systems programs at Technikum Wien, Austria. He holds a Doctoral degree from Vienna University of Technology and has over two decades of expertise in embedded systems, automotive electronics, and real-time communication protocols. His research focuses on fault tolerance, high-level synthesis, and verification of embedded systems. Education: Electrical Engineering from Vienna University of Technology (1994 Ph.D.) Affiliations: Research Group Embedded Systems, Vienna University of Technology (1997–2002), Technikum Wien (2002–present) His work spans FlexRay automotive networks , FPGA reliability , and system-on-chip verification . Notable contributions include the SynUTC synchronization project and contributions to the Josef Ressel Center for Verification of Embedded Systems. Awards include the Vienna MA27 Research Prize (2008) and best paper awards at FMICS 2011 and DSN 2001. Grants include EU EFRE-funded projects (AC-Centrope II) and FFG initiatives (Flexicount). He chairs review boards for academic programs and serves on technical committees for DATE, RTAS, and MESA conferences.
