Tobias Bolch is a full Professor at the Institute of Geodesy, Graz University of Technology (TU Graz), Austria, specializing in cryospheric research with a focus on High Mountain Asia and the Tibetan Plateau. His work integrates advanced geodetic and remote sensing methodologies to address critical climate change impacts on glaciers and related systems. His research spans: Glacier dynamics and mass balance monitoring using InSAR and optical satellite data Rock glacier kinematics and permafrost interactions Glacial lake evolution and outburst flood hazards Climate-glacier-hydrology linkages in Central Asian river basins Long-term cryosphere reconstruction using historical satellite archives Analysis of his 2023-2025 publications reveals dominant trends in quantifying ice loss acceleration, particularly from lake-terminating glaciers, and the application of multi-sensor approaches (Sentinel, ASTER, UAV) for decadal-scale change detection. His work consistently emphasizes the hydrological consequences of glacier retreat for downstream water security across High Mountain Asia. No scientific awards or specific grant programs were documented in the provided materials. While student supervision details are absent, his position at TU Graz's Institute of Geodesy indicates active mentorship within geospatial and cryospheric research programs. His homepage (https://ifg.tugraz.at) serves as the primary hub for research dissemination through the university's PURE portal.
Dr. Yunjie Yang is an Associate Professor at the University of Edinburgh's School of Engineering, with affiliations at the Edinburgh Futures Institute (EFI), the Edinburgh Generative AI Laboratory (GAIL), and the Edinburgh Centre for Robotics. He previously held the Chancellor's Fellow in Data Driven Innovation (2018-2023) and Bayes Innovation Fellow (2023-2024) positions. His research focuses on AI-powered sensing and imaging, machine learning, and soft sensors & electronics for robotics. Yang received his PhD in Engineering Electronics from the University of Edinburgh, MSc in Control Science & Engineering from Tsinghua University, and BEng in Measurement & Control Engineering from Anhui University. After his PhD, he worked as a Postdoctoral Research Associate in Chemical Species Tomography before securing his lectureship. His research interests center on developing intelligent sensing systems that replicate human perception capabilities for robotics and intelligent systems. He pioneers flexible sensing and imaging technologies across various scales through innovative multi-modal sensors, soft electronics, and their modeling using machine learning approaches. His work aims to enable autonomous physical artificial intelligence by bridging the gap between robotic systems and human-like perception. Analysis of his recent publications reveals a strong focus on soft robotics perception, particularly through electrical impedance tomography (EIT) and transformer-based architectures. His research spans medical imaging applications, digital twin modeling for industrial processes, and machine learning approaches for sensor data interpretation. The trend shows increasing integration of physics-informed deep learning with traditional tomographic techniques to achieve higher accuracy and efficiency. European Research Council (ERC) Starting Grant (2024) IEEE J. Barry Oakes Advancement Award (2024) IEEE I&M Society Graduate Fellowship Award (2015) Multiple Best Paper Awards Senior Member of IEEE Fellow of the International Society for Industrial Process Tomography Fellow of the Higher Education Academy ESI highly cited papers Dr. Yang serves as Associate Editor for IEEE Transactions on Instrumentation and Measurement and holds editorial positions with Scientific Reports and IEEE Sensors Journal. His research has been licensed to overseas research institutes and industry partners and received wide media coverage including BBC, EFE, USA Today, and STV. He has secured significant grant funding including the prestigious ERC Starting Grant. He leads the Edinburgh SMART Lab (Sensing/imaging + Machine Learning + Robotics), which aims to replicate human perception capabilities for robotics and advance flexible sensing technologies through innovative multi-modal sensors and machine learning approaches. The lab focuses on enabling autonomous physical artificial intelligence with applications spanning medical diagnostics, industrial monitoring, and advanced robotics systems.
Karl Michael Göschka is an Associate Professor at Vienna University of Technology (TU Wien) in the Department of Distributed Systems (E194-02) within the Faculty of Computer Science. His academic title of Privatdozent indicates he has completed habilitation, the highest academic qualification in the German/Austrian system. He maintains an active research and teaching profile with courses scheduled through 2026S, including Bachelor Thesis supervision, Computer Science Projects, and PhD Seminars. His research spans over two decades with consistent publications from 2004 to 2022. Göschka's primary research interests focus on Dependable Distributed Systems, Web Engineering, and the convergence of voice and data technologies. His work demonstrates particular expertise in middleware, service-oriented architecture, wireless sensor networks, and fault tolerance mechanisms. He has supervised numerous master's and diploma theses since 2006, with his most recent doctoral supervision completed in 2022. Göschka's publication record shows a clear evolution from foundational work in distributed systems and replication (2004-2013) to more recent contributions in wireless sensor networks and dependable computing (2020-2022). His research consistently addresses the challenge of balancing dependability, performance, and security in distributed environments, with notable contributions in temporal decoupling techniques and adaptive systems. GIT-Preis des Österreichischen Vereins für Elektrotechnik (1999) Würdigungspreis des Ministeriums für Wissenschaft und Forschung (1998) GIT-Förderpreis des Österreichischen Vereins für Elektrotechnik (1994) Göschka has led and participated in multiple significant research projects including TRADE (2008-2011) on adaptive performance optimization, COMPASS (2005-2007) for automotive software systems, S-Cube (2008-2012), ALL-TIMES (2007-2010), and DeDiSys (2004-2007) on dependable distributed systems. His research has strong practical applications in automotive systems, online auctions, and critical infrastructure monitoring.
Dominik Schörkhuber is a PreDoc Researcher at the Vienna University of Technology (TU Wien) in the Computer Vision department. With a background in Informatics (BSc, Dipl.-Ing.), he focuses on computer vision applications for autonomous driving, robotics, and human-machine interaction. His work spans driver action recognition, pedestrian prediction, and adaptive lighting systems. Current projects: Empathic Vehicle (2024–2026), SyntheticCabin (2021–2025), SmartProtect (2020–2025) Research themes: Video transformers, synthetic data transfer learning, multi-task learning, and sensor-lighting integration Specializes in 3D sensing, nighttime driving analysis, and mobile video creation tools
Martin Kaltenbrunner is a Professor in the Department of Soft Matter Physics at the Faculty of Engineering & Natural Sciences, Johannes Kepler University Linz (JKU). He leads the LIT Soft Materials Lab and is affiliated with the Linz Institute of Technology (LIT), focusing on sustainable material innovations for next-generation electronics. His research spans biodegradable flexible electronics, energy-autonomous systems, and eco-friendly substrates. Key interests include perovskite solar cells for healthcare robotics, mycelium-based electronic skins, and algal polysaccharide conductive nanocomposites. He pioneers sustainable alternatives using organic materials to replace conventional electronics in soft robotics and wearable devices. Recent publications (2024-2025) emphasize circular economy principles, featuring mycelium substrates for PCBs, algae-derived transistors, and passivation techniques for high-efficiency solar cells. The work integrates materials science with environmental sustainability, targeting applications in medical sensors and autonomous robotics. Professor Kaltenbrunner has supervised 18 research works and leads multiple major grants: Personalized Sustainable Smart Patch Omnificence (Persimmon) - EU project (2024-2028) Mycelium-based substrate for sustainable flexible PCBs (MycoSub) - EU project (2024-2025) Intelligent cellulose-based sensors - FFG project (2022-2025) Metasurface Fabrication (META-FAB) - FFG project (2024-2027) Nadelholzreststoffe for mycelium packaging (MycoSoft) - FFG project (2023-2026) He directs the LIT Soft Materials Lab, which develops biodegradable gels, fungal biomaterials, and sawmill byproduct-based insulation. The lab collaborates across JKU's engineering and natural sciences divisions to advance sustainable electronics through interdisciplinary projects like Persimmon and MycoSub, emphasizing real-world deployment of eco-friendly technologies.
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.
Markus Vincze is an Associate Professor at the Institute of Automation and Control Engineering (ACIN) at Vienna University of Technology (TU Wien). He founded the Vision for Robotics (V4R) group in 1996 to advance robotic perception, particularly in real-world environments and homes. His work focuses on cognitive computer vision techniques for robotics. Education: Diplom in Mechanical Engineering (1988) and PhD (1993) from TU Wien; M.Sc. (1990) from Rensselaer Polytechnic Institute. V4R coordinates EU projects like ActIPret, robots@home, HOBBIT, and national initiatives like vision@home. Markus has edited a book on Robust Vision with Gregory Hager and authored 62 peer-reviewed journal articles and over 400 reviewed publications. His recent research explores zero-shot 6D pose estimation, sim-to-real transfer, and transparent object detection. Markus has served as program chair for ICRA 2013 and organized HRI 2017 in Vienna. He has advised numerous students and secured grants from the Austrian Academy of Sciences for work at HelpMate Robotics and Yale's Vision Laboratory. The V4R group leads innovations in robotic vision, including frameworks for synthetic data generation (Unrealgensyn), depth completion (CAGT), and educational robotics applications for sustainability. Their work spans household robotics (RH3), agricultural robotics (EdgeSoil), and human-robot collaboration.
Hui Pan is a distinguished academic holding dual positions as Nokia Chair in Data Science and Professor of Computer Science at the University of Helsinki, and Chair Professor of Computational Media and Arts at the Hong Kong University of Science and Technology (HKUST). His research spans networking, mobile computing, augmented reality, and computational social science. He earned his Ph.D. in Computer Science from the University of Cambridge in 2007. His work bridges social networks with mobile systems, pioneering fields like mobile social networks and opportunistic forwarding algorithms. Research interests include data science, complex networks, and innovative applications of augmented reality. His recent publications focus on low-latency AR frameworks, blockchain for computation offloading, and mobile web visualization. He has received prestigious awards, including IEEE Fellow (2018), ACM Distinguished Scientist (2016), and the Nokia Chair Endowment (2017). He has supervised over 15 PhD and 12 MPhil graduates, with 13 current Ph.D. students and 2 MPhil students. His editorial roles include Associate Editorships at IEEE Transactions journals and guest editorships at top venues like IEEE JSAC and ACM Transactions. He has organized conferences such as WWW Track Chair and ExtremeCom General Chair.
Marco Di Renzo is a CNRS Professor (Directeur de Recherche Titulaire) at University of Paris-Saclay, affiliated with CentraleSupelec and the Signals and Systems Laboratory (L2S). He serves as Coordinator of the Communications Networks Area at the DigiCosme Laboratory of Excellence and Editor-in-Chief of IEEE Communications Letters. His academic leadership includes membership in the Ph.D. School on ICT Admission Committee at Paris-Saclay University. His educational background includes a Laurea (cum laude) and Ph.D. in Electrical Engineering from University of L'Aquila, Italy (2003, 2007), and a Habilitation à Diriger des Recherches from University Paris-Sud (2013). Laurea (cum laude), Electrical Engineering, University of L'Aquila (2003) Ph.D., Electrical Engineering, University of L'Aquila (2007) Habilitation à Diriger des Recherches, University Paris-Sud (2013) Di Renzo's research focuses on next-generation wireless communications, particularly reconfigurable intelligent surfaces (RIS), 6G technologies, and stochastic geometry modeling. His work bridges theoretical communication theory with practical implementations in cellular networks, millimeter-wave communications, and ultra-wide band systems. Recent publications demonstrate leadership in holographic metasurfaces, integrated sensing and communication (ISAC), and AI-empowered network design, establishing him as a pioneer in electromagnetic wave manipulation for future networks. His award-winning publications span RIS-aided communications, channel modeling, and security frameworks. Analysis of his recent work reveals consistent focus on three pillars: (1) fundamental electromagnetic theory for wave manipulation, (2) practical RIS implementations across frequency bands, and (3) integration with AI for network optimization. His articles frequently address industrial applications including factory automation and space-air-ground networks. Di Renzo's scientific recognition includes: IEEE Fellow (2020) and IET Fellow (2020) Highly Cited Researcher (Web of Science, 2019) SEE-IEEE Alain Glavieux Award (2017) Multiple Best Paper Awards (IEEE ICC, EURASIP) Nokia Foundation Visiting Professorship (2020) As Principal Investigator for CNRS, he coordinates multiple Horizon 2020 projects including SURFER, PathFinder, and MetaWireless. His leadership extends to serving as Project Coordinator for H2020 5Gwireless, 5Gaura, MAPNET, and REDESIGN. With over 350 publications, 17,000+ citations, and h-index of 66+, his research group maintains strong industry partnerships with Nokia and other telecommunications leaders. Di Renzo directs the Signals and Systems Laboratory (L2S) at Paris-Saclay and coordinates the DigiCosme Excellence Lab's Communications Networks Area. His team specializes in electromagnetic modeling for wireless networks and has pioneered the European Telecommunications Standards Institute (ETSI) Industry Specification Group on RIS. The group maintains active collaborations with Aalto University (Finland), University of Technology Sydney (Australia), and University of L'Aquila (Italy).
Hans Irschik is a Full Professor and Head of the Institute of Technical Mechanics at Johannes Kepler University of Linz, Austria. He has held key academic roles, including Vice-Rector for Research (1995-2001) and Chair of the Senate (2009-2013) at JKU, and serves as Editor-in-Chief of Acta Mechanica . His work bridges structural mechanics, mechatronics, and control systems. Education: Studied Civil Engineering at Vienna University of Technology, earned Doctor of Technical Sciences (1981) and Habilitation in Mechanics (1986). Research interests include structural control, continuum mechanics, and smart materials. His contributions span theoretical developments and applied control strategies for aging structures. Recent articles focus on Lagrangian formulations, piezoelectric sensors, and beam theories, reflecting his expertise in mechanics and structural health monitoring. Scientific Awards & Memberships: Full Member, Austrian Academy of Sciences (since 2011) Honorary Doctorate, St. Petersburg Polytechnical University (2009) President, European Association of Structural Control and Health Monitoring (2008-2012) Fellow, Japanese Society for the Promotion of Science (2006) City of Vienna Award (1988) Kardinal Innitzer-Award (1988) Grants & Projects: Led Austrian Science Fund (FWF) research since 1993. Key researcher in the K2-Austrian Center of Competence in Mechatronics (since 2001). Participated in EUROMECH committees and European Science Foundation programs.
Marco Canteri is a Researcher in the Department of Experimental Physics at the University of Innsbruck, Austria. He holds an MSc degree and contributes to quantum information science with a focus on trapped-ion systems for quantum computing and networking. His educational background includes a Master of Science degree. The specific institution is not provided in available sources. Canteri's research spans quantum networking, quantum communication, and quantum sensing using trapped ions. Key areas include ion-photon interfaces, quantum memory, entanglement distribution, and scalable quantum hardware. His work addresses challenges in noise resilience and long-distance quantum links through experimental implementations of multiqubit systems and telecom-wavelength interfaces. Analysis of his 12 recent publications (2020-2025) reveals consistent advancement in trapped-ion quantum technologies. Notable achievements include entanglement distribution over 101 kilometers, multimode quantum networking, and development of ten-qubit quantum registers. The research demonstrates strong interdisciplinary integration of atomic physics, quantum optics, and quantum information theory for practical quantum network applications. No scientific awards are listed in the available information. Information regarding students advised or research grants obtained by Marco Canteri is not provided in current sources. He operates within the quantum information research group of the Department of Experimental Physics, utilizing advanced laboratories equipped for trapped-ion quantum computing experiments including optical cavities, precision laser systems, and single-photon detection infrastructure under department head Hanns-Christoph Nägerl.
Jia Min Chin is an Associate Professor at the Faculty of Chemistry , affiliated with the Institute of Functional Materials and Catalysis . Her research focuses on advanced materials, particularly Metal-Organic Frameworks (MOFs), Gold nanoparticles, and N-Heterocyclic Carbene (NHC) chemistry, with applications in catalysis, environmental remediation, and sustainable technology. Her scientific work contributes to United Nations Sustainable Development Goals (SDGs) through innovations in functional materials and catalytic systems. Key projects include Breaking the ice – novel energy efficient hybrid de-icing systems and DYNAMOF: Electric Field Assisted Dynamic MOF Alignment , funded by major research grants. She received the prestigious ERC Grant in 2020 for her contributions to materials science. Chin's research spans MOF-based nanocomposites, photonic assemblies, and biomedical applications. Her publications highlight trends in Stimuli-responsive materials (electric/magnetic fields) Green catalytic systems Anti-icing and humidity-sensing coatings Cancer therapy platforms Scientific Awards ERC Grant (2020) She collaborates globally on cutting-edge topics like MOF alignment, nerve agent decomposition, and CO2 reduction, with recent activities including lectures at international conferences and workshops on material structuring.
Gabriella Giannachi is Professor of Performance and New Media and Director of the Centre for Intermedia at the University of Exeter's Faculty of Humanities, Department of English. She leads interdisciplinary collaborations between artists, academics, and scientists to advance research in performance and digital arts. Her educational background includes: BA in Modern Languages and Literatures from Turin University's Faculty of Letters and Philosophy PhD in English from Cambridge University, researching silence in modern European Drama with Trinity Hall scholarship Giannachi's research pioneers performance documentation in mixed reality environments, examining how digital archives function as mobile interpretation hubs for cultural engagement. She investigates mobile user-generated documentation's role in knowledge production, museum visitor dynamics, memory formation, and identity construction within ecological and heritage contexts, with significant focus on copyright and accessibility implications. Her publication trends reveal consistent exploration of presence theory across physical-digital boundaries, with award-winning CHI conference papers (2009-2013) and books like 'Performing Mixed Reality' (2011) establishing frameworks for understanding mixed reality performance, environmental art, and digital heritage preservation. Her scientific recognition includes: Three consecutive CHI Best Paper Awards (2009, 2012, 2013) Theatre Library Association Book Award nomination for 'Performing Presence' (2012) Royal Society of Arts Fellowship nomination (2012) While specific advisees aren't documented, her research partnerships demonstrate extensive collaborative supervision across institutions including Tate, Imperial War Museum, British Library, and Stanford Libraries, securing projects that integrate artistic practice with scientific research. As Centre for Intermedia Director, she cultivates experimental teams investigating how digital archives transform cultural engagement through mobile platforms, particularly in environmental contexts via partnerships with Met Office Hadley Centre and Ludwig Boltzman Institute.
Hongbo Jiang is a Distinguished Professor and Vice Dean of the College of Computer Science and Electronic Engineering at Hunan University, China. He holds concurrent roles as Director of the Trusted Systems and Networking Key Laboratory of Hunan Province and Director of the Hunan International Technical Cooperation Base for High-Performance Computing and Distributed Systems. His academic journey includes tenures as a Professor at Huazhong University of Science and Technology and a Hong Kong Scholar Research Fellow at The Chinese University of Hong Kong. Education: PhD in Computer Science (Case Western Reserve University, 2008), B.S./M.S. in Mathematics (Huazhong University of Science and Technology, 2002). Research Interests: Distributed systems, mobile computing, smart sensing, wireless networks, IoT, and edge computing. Ongoing projects include mobile/wireless applications, data science in IoT, and edge computing platforms. His work emphasizes practical implementations such as DriverSonar for driving safety and SmileAuth for biometric authentication. Key Achievements: Elected Member of Academia Europaea (2022), Fellow of AAIA, IET, and BCS. Notable awards include the Wu Wenjun Science and Technology Award (2020) and multiple best paper recognitions. Over 100+ publications in top venues like ACM MobiCom, IEEE/ACM Transactions. Professional Contributions: Editorial roles across 8+ journals including IEEE Transactions on Mobile Computing and ACM Transactions on Sensor Networks. Conference leadership includes co-founding ACM TURC and EAI ICECI. Active in technical committees for INFOCOM, MOBIHOC, and ICDCS. Labs/Teams: Leads research groups focused on networking, IoT, and edge computing. Current openings for PhD/MSc students and PostDoc researchers with strong mathematical and systems backgrounds.
Thorsten Schumm - Academic Overview Thorsten Schumm is an Associate Professor at Vienna University of Technology (TU Wien), leading the Quantum Metrology research group within the Atomic Institute. He is a key member of the Erwin Schrödinger Center for Quantum Science & Technology (ESQ) and the Vienna Center for Quantum Science and Technology (VCQ). His research focuses on developing novel quantum measurement techniques, particularly nuclear clocks using thorium-229 isotopes and matter-wave interferometry with collective many-body states. Key Affiliations & Roles Associate Professor, TU Wien (since 201X) ERC Synergy Grant recipient (2019) for the 'Thorium Nuclear Clock' project Principal Investigator for EU-funded MoSaiQC network (2019) and AQUclock project (2022) Research Interests His work bridges quantum metrology with nuclear physics , precision spectroscopy , and many-body quantum systems . He pioneers the development of nuclear clocks—next-generation timekeeping devices using nuclear transitions instead of electronic transitions for unprecedented accuracy. Recent breakthroughs include direct measurement of the thorium-229 isomer energy and advances in laser-driven nuclear excitation techniques. Notable Achievements 2019 ERC Synergy Grant: Enabled global collaboration toward the world's most precise atomic clock 2022 AQUclock project: TU Wien collaboration with Austrian authorities to build state-of-the-art atomic infrastructure 2019: First experimental determination of thorium-229 isomer energy published in Nature Academic Leadership He has mentored 5 PhD students and hosted 5 postdoctoral researchers. His group actively participates in the Vienna Graduate Program on Complex Quantum Systems (COQUS), training the next generation of quantum scientists.
