Jiannong Cao is a Chair Professor and Director of the University Research Facility in Big Data Analytics at the Department of Computing, Hong Kong Polytechnic University. He has held various academic roles since 1990, including Assistant Professor at City University of Hong Kong and Lecturer at Australian universities. PhD in Computer Science, Washington State University (1990) MSc in Computer Science, Washington State University (1986) BSc in Computer Science, Nanjing University (1982) His research focuses on cloud and edge computing , parallel and distributed computing , and mobile computing , with significant contributions to wireless sensor networks (WSN) for structural health monitoring (SHM) and software-defined networking (SDN) for vehicular communications. Recent work includes WiFi-based non-invasive health monitoring systems and multi-user computation partitioning in mobile cloud environments. Dr. Cao’s publications demonstrate trends in WSN optimization , SDN architectures , and cognitive modeling for network embedding , with applications in smart healthcare , transportation systems , and industrial IoT . Ministry of Education Natural Science Award (2018) ACM Distinguished Member (2017) IEEE Fellow (2014) Best Paper Awards at IEEE DSAA, SMARTCOMP, WCNC He has mentored numerous researchers, including Linchuan Xu , Xuefeng Liu , and Weigang Wu , who have authored key publications in top venues like ACM WSDM and IEEE INFOCOM . His professional roles include chairing IEEE committees and serving on grant panels for the Hong Kong Research Grant Council.
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Alexander Plopskiمشاهده پروفایل
استادیار
Dr. Alexander Plopski is an Assistant Professor at the Institute of Visual Computing, Technische Universität Graz. His research focuses on advancing augmented reality (AR) technologies, human-computer interaction (HCI), and optical display systems. He holds a PhD, M.Sc., and BSc in relevant fields. His work emphasizes perceptual optimization in AR displays, eye tracking integration, and accessibility solutions for color vision deficiencies. Key research areas include gaze-contingent AR interfaces, light field manipulation for extended reality, and multimodal interaction techniques. Notable contributions include the development of the 'guitARhero' interactive AR guitar tutorial system and studies on focal distance effects in optical see-through displays. His publications span topics from AR display calibration to gesture recognition using radar sensing. He has explored applications in industrial training, medical AR, and robotic telemanipulation. His work often bridges theoretical perceptual studies with practical system implementations, aiming to enhance user experience and accessibility in AR/VR environments.
Andreas Riedlمشاهده پروفایل
استادیار
Andreas Riedl is an Assistant Professor at the Department of Geography and Regional Research, University of Vienna, where he serves as Head of the Hyperglobe Research Group and Vice-Director of Studies for Geography. His work bridges cartographic heritage with cutting-edge geospatial technology, focusing on spherical display systems for global data visualization. His educational background includes a Doctorate in Geography/Cartography from the University of Vienna (1987-1992) and an Industrial Engineering degree from HTL-Hollabrunn (1979-1985). Career milestones include research at Simon Fraser University (1995-1996) and software development at ITC Enschede (1996). Riedl's research centers on Hyperglobes —interactive 1.2-meter spherical displays that visualize weather patterns, continental drift, and climate change through dual 4K projection. His group operates these systems for public education, serving schools and museums with free demonstrations of geophysical phenomena, flora/fauna distributions, and extraterrestrial topics. Complementing this, he advances GIS applications in urban planning, 3D visualization, and multimedia geocommunication. Analysis of his 15 most recent publications reveals dual research trajectories: (1) Environmental hydrology studies quantifying dew/fog water inputs in grasslands using isotope tracing and micro-lysimeters, and (2) Media studies examining migration coverage, journalistic roles, and gender representation in news. Both strands emphasize data visualization's role in public understanding of complex systems. As an educator, Riedl supervises Master's theses on GIS implementation, 3D city modeling, and geovisualization. His students explore topics including e-charging infrastructure planning, infographic-style maps, and AR navigation systems, reflecting his commitment to applied spatial analysis. The Hyperglobe Research Group provides critical infrastructure for these projects through its spherical display technology and public engagement initiatives.
Davide Sangiorgi is a Full Professor at the University of Bologna, Italy, with a distinguished career in computer science and theoretical concurrency. He has held significant roles as Director of Research at INRIA (2000), Researcher at INRIA (1995), and Research Fellow at the University of Edinburgh (1993). His work spans programming languages, distributed systems, and formal verification. Laurea (Master) in Computer Science, University of Pisa, 1987 PhD in Computer Science, University of Edinburgh, 1993 His research focuses on the theory of concurrent and distributed systems, with contributions to bisimulation, process calculi, and type systems. His publications highlight advancements in lock-freedom, environmental bisimulation, and behavioral equivalence, primarily in programming languages and concurrency theory. Key trends in his articles include the development of formal methods for concurrency, type systems for mobile processes, and the application of bisimulation in higher-order languages. His work bridges theoretical foundations with practical verification techniques in distributed systems and programming languages. Elected Chairman of IFIP Working Group 2.2 (FORMAL DESCRIPTION OF PROGRAMMING CONCEPTS) in 2005 and re-elected in 2008 Member of the Council of the Italian Chapter of the European Association for Theoretical Computer Science (EATCS), re-elected 3 times Sangiorgi has supervised 10 PhD students across France and Italy, currently advising 3. He has led 3 large EU projects and bilateral initiatives (France-USA, France-Germany, France-Italy). He co-founded the joint INRIA-University of Bologna laboratory, the first of its kind for INRIA in a foreign institution.
Peter Mohr-Ziak is a researcher affiliated with both the Institute of Computer Graphics and Vision at the University of Technology Graz (TU Graz) and VRVis Forschungs GmbH. His primary focus areas include Augmented Reality (AR) and Mixed Reality (MR) systems, specifically in the domains of AR visualization, content generation for AR, and head-mounted display (HMD) technologies. He is actively involved in projects with AVL List GmbH in addition to his academic research. Academic Rank: Researcher at TU Graz Education: Telematics, TU Graz Peter's research interests center on creating interactive AR systems with applications in industrial assembly, remote assistance, and education. His work spans technical aspects of AR visualization and practical implementations for skill training (e.g., guitar tutorials) and complex tasks like maxillofacial surgery. He investigates spatial rendering techniques, adaptive perspective models, and light field applications in mixed reality environments. Recent research trends include: 2024: Expanding into human-robot interaction and AR affordance templates 2023: Developing interactive guitar tutorials and state-aware configuration detection systems 2022: Advancing focus cues in video see-through MR and assembly instruction authoring 2019-2020: Improving HMD interaction with TrackCap and light field remote assistance 2017: Creating adaptive perspective rendering and video tutorial retargeting systems Scientific recognition includes: 2021: ISMAR Best Conference Paper 2017: CHI Best Paper Honorable Mention He contributes to projects at TU Graz's Institute of Computer Graphics and Vision, including collaborations with VRVis Forschungs GmbH and AVL List GmbH, while maintaining personal interests in photography and drone flying.
Christoph Kirsch is a Professor and Chair of the Department of Computer Science at the University of Salzburg. He also serves as Chair of the Programming Research Laboratory at the Faculty of Information Technology, CTU Prague. His research focuses on systems, concurrency, memory management, and formal methods, with notable contributions including the Selfie educational software project and work on symbolic execution. He is a prolific author with over 50 publications in top venues like LCTES and EMSOFT. Education: Ph.D. in Computer Science (details not specified). His teaching includes courses on elementary computer science concepts and curricula development. He advises students such as Anna Bolotina and has graduated over a dozen PhD students. Research highlights include the Selfie system (self-referential C compiler and emulator), work on concurrency primitives like Scal and Timestamped Stack, and contributions to real-time systems (Logical Execution Time, Variable-Bandwidth Servers). His recent focus includes teaching digital thinking and evaluating eval in R programs. He has organized conferences like MPLR’24 and served on program committees for EuroSys and RTNS. His book Elementary Computer Science emphasizes foundational concepts for broad audiences.
- Systems
- Concurrency
- Memory Management
- +۵ مورد دیگر
Arnold Neumaier is a Full Professor (Chair for Computational Mathematics) at the Faculty of Mathematics, University of Vienna, Austria. His research focuses on global optimization, heuristic optimization, nonlinear optimization, and optimization under uncertainty. He leads a research group developing state-of-the-art software for optimization, numerical analysis, and statistics. Collaborations include work on global optimization with Immanuel Bomze and Vladimir Kolmogorov, heuristic optimization with Nysret Musliu and Günther Raidl, and optimization for data analysis with Dan Alistarh and Radu Boț. Neumaier holds a Ph.D. from the Free University of Berlin (1977) and has held academic positions at the University of Freiburg (1987–1993), AT&T Bell Laboratories (1993–1994), and visiting roles at Princeton University, the University of Nice, and RWTH Aachen. His work spans computational mathematics, quantum physics, and mathematical software development. He maintains extensive web resources on optimization and numerical analysis. Research interests include algorithmic software development, verified computing, mathematical modeling languages, uncertainty modeling, and quantum physics. His group comprises 1 full professor, 1 associate professor, 1 university assistant, 3 postdocs, and multiple PhD students. Key contributions include the 'Global Optimization' WWW site and foundational work in causal perturbation theory for quantum field theory.
Jana Herwig serves as a Lecturer at the Center for Teaching and Learning (CTL) of the University of Vienna, where she teaches courses including Development of Media and Forms of Communication and Didactics: Teaching and Learning with Media . The CTL provides university-wide support for educational media production and teaching innovation. Her research critically examines digital media through interdisciplinary lenses, prioritizing Media Studies , Digital Humanities , and Educational Technology . Key focal points include accessibility in higher education ( Disability Studies ), algorithmic power structures ( Critical Algorithm Studies ), and sensory perception in media interfaces ( Sensory Studies ), with particular emphasis on haptic media and touch. Analysis of her recent publications reveals consistent exploration of how media technologies shape human experience and social structures. Recurring themes include digital proximity in virtual communication, self-service automation, disability representation, and historical-contemporary media transitions. Her work bridges critical theory with practical educational applications, advocating for inclusive, alternative media practices. Within the CTL, she actively supports faculty through the service desk for producing teaching videos and audio materials, integrating her scholarly research on media into practical educational infrastructure development.
Arndt von Haeseler is a Full Professor for Bioinformatics at the Center for Molecular Biology and Department for Computer Sciences at the University of Vienna, as well as at the Department for Medical Biochemistry at the Medical University of Vienna. He serves as the Scientific Director of the Center for Integrative Bioinformatics Vienna (CIBIV) and was previously Dean of the Center of Molecular Biology at the University of Vienna and Head of the Center for Medical Biochemistry at the Medical University of Vienna from 2017-2020. His research focuses on phylogenetic inference, phylogenomics, neural networks, sequence evolution, and complex patterns of evolution. With expertise spanning mathematics, biology, and computer science, he has made significant contributions to computational biology through the development of algorithms and software tools for phylogenetic analysis. His work bridges theoretical approaches with biological applications, particularly in evolutionary biology and genomics. Dr. von Haeseler's recent publications demonstrate a strong trend toward integrating machine learning approaches with traditional phylogenetic methods, while expanding into single-cell RNA sequencing analysis and organoid modeling. His research spans computational methodology development, evolutionary analysis, and biomedical applications, with a consistent focus on improving analytical frameworks for biological sequence data. Visiting Professor at Division of theoretical Genetics, National Institute of Genetics, Mishima, Japan (since 2012) WWTF Science Chair Award, Vienna, Austria (2005) Honorary Professor for Theoretical Biology, University of Leipzig, Germany (since 1999) PhD scholarship, Studienstiftung des Deutschen Volkes, Germany (1985-1988) He mentors numerous PhD students and researchers, including Heiko A. Schmidt, Alina Leuchtenberger, and Cassius Manuel. His laboratory develops computational methods that have found widespread application in evolutionary biology and genomics research. The Center for Integrative Bioinformatics Vienna (CIBIV), which he directs, serves as a hub for interdisciplinary research bridging computational approaches with biological questions.
Joost Joostenمشاهده پروفایل
دانشیار
Joost Joosten is an Associate Professor at the University of Barcelona since 2015, with a focus on Mathematical Logic and its applications. He holds an ORCID and leads the Barcelona Group on Pure and Applied Proof Theory. His research spans two domains: Foundations of mathematics : Exploring questions about numbers, infinity, and formalized theorems through proof theory and metamathematics. Formal Methods in software : Developing error-free legal software and studying societal impacts of legal AI, via the spin-off Formal Vindications SL and collaborations with legal scholars. Scientific recognition : ICREA Acadèmia award recipient (2022) Ordinary member of the Academy of Europe (2024) Best Thesis and teaching awards at Utrecht University (2004) Joosten founded the Workshop on Proof Theory, Modal Logic and Reflection Principles (Wormshop) , which has hosted six editions since 2012, with the 2024 event in Ghent.
- Proof theory
- Formal logic
- Logic in AI and law
- +۱ مورد دیگر
Janis Lena Meißner is a post-doctoral researcher in the HCI research group at TU Wien, focusing on inclusion in digital transformation processes. She teaches courses including "Computational Aspects of Digital Fabrication" and "Free and Open Technologies," while conducting research that critically examines technology use among non-expert users and marginalized communities. Her educational background includes a doctoral degree in Digital Civics from Open Lab at Newcastle University, an MSc in Media Informatics, and a Bachelor's degree in Media Informatics. Prior to her academic career, she worked in the IT department of an Austrian governmental institution and as a consultant for a software company. Meißner's research centers on productive creative practices of non-expert technology users and their meaning-making processes with digital tools. She has explored sociomaterial practices of "makers-in-the-making," including people with disabilities using 3D printers for empowering hacks, charity workers creating interactive e-textile blankets, and Men Shed organizers combining traditional crafts with digital technologies. Her work challenges the "non-technical" framing of non-expert users and highlights social justice issues in digital transformation. She has particular expertise in participatory and creative research methods, examining how co-design can establish healthy researcher-participant relationships. Her recent publications reveal strong trends in inclusive maker spaces, accessibility for Deaf communities, hidden technological labor in female-dominated professions, and feminist approaches to human-computer interaction. As a co-founding member of fempower.tech, she actively promotes feminist perspectives in HCI. Her work bridges academic research with practical applications in digital inclusion, particularly through projects exploring hidden technological labor of service workers and telemonitoring in healthcare contexts.
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.
- Augmented Reality
- Virtual Reality
- Mixed Reality
- +۳ مورد دیگر
Martin Wolfمشاهده پروفایل
پژوهشگر
Martin Wolf is a Researcher at the Institute of Experimental and Clinical Cell Therapy , part of Paracelsus Medical University . He holds an email contact at pmu.ac.at and has been actively publishing in diverse fields including Extracellular Vesicles, Stem Cell Research, and Regenerative Medicine. His research interests span Immunomodulation, Angiogenesis, Allergy & Immunology, and Machine Learning-based analysis of cellular systems. His work often bridges Biomedical Engineering with clinical applications. Recent research trends highlight a focus on extracellular vesicles (EVs) , including their role in SARS-CoV-2 interactions , skin regeneration , and cartilage repair . Collaborative studies explore human stem cell therapies and biomarker discovery in cardiovascular and neurological contexts. Labs & Teams : Collaborates with the Strunk Lab on EV-Quant, a microfluidic chip project for EV quantification (active 2021–2025). Participates in interdisciplinary teams studying cell-based therapies and tissue engineering.
Thomas W. Reps is a Professor in the Department of Computer Science at the University of Wisconsin, holding the position since 1985. He has served as President and Co-founder of GrammaTech, Inc. since 1988, and held visiting roles including Guest Professor at the University of Paris 7 (2007-08), Visiting Researcher at CNR in Pisa, Italy (2000-01), and Guest Professor at the University of Copenhagen (1993-94). He previously served as Associate Chairman of the Computer Sciences Department at Wisconsin (1990-93) and held postdoctoral roles at Cornell University and INRIA. Reps' research spans programming languages, software engineering, and computer security, with a focus on static program analysis, machine-code analysis, and program slicing. His work in model checking, software maintenance, and analysis techniques for information security has significantly impacted the field of computer science. 2017 ACM SIGPLAN Programming Languages Achievement Award 2015 WARF Named Professorship 2005 ACM Fellow 2000 Guggenheim Fellowship 1986 NSF Presidential Young Investigator Award Reps' publications highlight advancements in interprocedural dataflow analysis, weighted pushdown systems, and symbolic computation. His work bridges theoretical foundations with practical applications in software verification and security, creating tools that have shaped modern program analysis techniques. He has collaborated extensively with researchers like Somesh Jha, Mooly Sagiv, and Gogul Balakrishnan across institutions in Europe and the U.S.
Christian Beckmann is a Full Professor of Statistics in Imaging Neurosciences at Radboud University Medical Centre Nijmegen and a Principal Investigator at the Donders Institute for Brain, Cognition and Behaviour. His career spans institutions including the University of Twente, Imperial College London, and the University of Oxford, with a focus on interdisciplinary approaches integrating cognitive neuroimaging, imaging genetics, and pharmacology. Education: MSc and DPhil degrees at the University of Oxford (20014). His research centers on developing novel computational analysis methods for neuroimaging data, particularly Independent Component Analysis (ICA), applied to connectomics, imaging epidemiology, and big data analytics. He emphasizes creating sensitive, specific, and interpretable tools for neurobiological applications, such as the widely used FSL (FMRIB Software Library), which impacts over 650 institutions globally. Scientific Awards: Thomson Reuters/Clarivate Analytics Highly Cited Researcher (2014–2016) NWO VIDI Fellowship (2014) Wiley OHBM Young Investigator Award (2011) Membership, Young Academy, University of Twente (2011) Advising & Grants: He has trained over 20 PhD students (8 completed) and 9 postdoctoral researchers, securing grants from the Netherlands Organisation for Scientific Research and other international bodies. His work bridges technical innovation with clinical applications, advancing diagnostics and treatment strategies.
- Big Data
- Neuroimaging
- Model-Free Data Analysis
- +۴ مورد دیگر