جست‌وجوی استاد و پژوهشگر

Lea Ann Daileyمشاهده پروفایل

استاد

• Nanomedicine
• Pharmaceutical Biophysics
• Lung Toxicology of Nanoplastics
• +۴ مورد دیگر

Prof. Lea Ann Dailey is a University Professor and Deputy Head of the Department of Pharmaceutical Sciences at the University of Vienna. Her research focuses on nanomedicine, pharmaceutical biophysics, and respiratory drug delivery. She leads projects like Imptox (studying nanoplastic toxicity) and ANTI-TB (targeting tuberculosis via inhalable nanocarriers). Her work involves advanced techniques like AFM-IR and X-ray analysis, with collaborations across Europe. She teaches courses on pharmaceutical technology, magistral formulae, and drug discovery. Her lab uses state-of-the-art equipment including BSL2 facilities and Next Generation Impactors. Current research spans nanoplastic environmental impacts, anti-infective formulations, and high-entropy nanozymes for diagnostics. Projects are funded by EU Horizon 2020 and German BMBF grants. Education details are not explicitly listed, but her professional trajectory indicates extensive academic training in pharmacy and biophysics. She advises on tuberculosis drug delivery and lipid nanotechnology, with over 50 peer-reviewed publications. Her lab's work bridges fundamental biophysics with translational drug delivery solutions, emphasizing inhaled therapies for chronic respiratory infections.

• Pharmacophore Modeling
• Computer-Aided Drug Design
• Virtual Screening
• +۳ مورد دیگر

Thomas Seidel is a Professor in the Department of Pharmaceutical Sciences at the Faculty of Life Sciences. His research focuses on computational methods for drug discovery, including pharmacophore modeling, virtual screening, and ligand-receptor interaction analysis. He has contributed to the development of tools like GRADE/X-GRADE, PharmacoMatch, and QPhAR for enhancing the efficiency and accuracy of drug design processes. His work integrates molecular dynamics simulations, machine learning, and structure-based approaches to address challenges in neuropharmacology and medicinal chemistry. Key areas include GABAA receptor modulation, metabolite prediction, and the optimization of lead compounds for drug targets such as the large neutral amino acid transporter 1 (LAT1). Seidel’s collaborative projects span academic and industrial partnerships, with a focus on advancing predictive toxicology through initiatives like the NeuroDeRisk toolbox. His research consistently bridges computational methodologies with experimental validation, emphasizing translational applications in drug development.

• Robot Learning
• Autonomous Systems
• Human-Robot Interaction
• +۲ مورد دیگر

Chengxi Li is a postdoctoral researcher at TU Wien focusing on robot learning algorithms to develop universal cross-body systems enabling autonomous human-machine interaction in real-world applications. His work emphasizes interactive robots that intuitively learn tasks through reasoning about execution. Key projects include the INVERSE initiative, which explores robots that invert tasks via reasoning about their execution. Current research trends are centered on advancing autonomous systems and human-robot collaboration. No specific awards or grants are documented in the provided text. Dr. Li's team, Team Chengxi Li , likely coordinates these research efforts, though specific lab or team details are not elaborated here.

Friedrich Fraundorferمشاهده پروفایل

استاد

• 3D Computer Vision
• Robot Vision
• Multi View Geometry
• +۴ مورد دیگر

Friedrich Fraundorfer is a Professor at Graz University of Technology, specializing in 3D Computer Vision and Autonomous Systems at the Institute of Computer Graphics and Vision (ICG). He has held academic positions at institutions including ETH Zurich, University of North Carolina at Chapel Hill, and Technische Universität München, where he served as Deputy Director of the Chair of Remote Sensing Technology. Research : Focuses on Micro Aerial Vehicle (MAV) autonomy, Visual-Inertial Fusion, and Multi-View Geometry. Projects : Led EU-funded SFly (autonomous MAVs for search-and-rescue), SNF MAV (camera-only 3D mapping), and VCharge (vision-based self-driving cars). Teaching : Offers courses like 'Camera Drones' and 'Mathematical Principles in Vision.' His Pixhawk project created open-source MAV platforms adopted globally. Key Collaborations : With NVIDIA, Volkswagen AG, University of Zurich, and German Space and Aerospace Center (DLR). His students (e.g., Dominik Hirner, Rafael Weilharter) have published on lightweight CNNs for stereo vision and self-supervised 3D reconstruction.

Ulrike Dieboldمشاهده پروفایل

استاد

• Surface Physics
• Chemical Physics
• Solid State Physics
• +۲ مورد دیگر

Ulrike Diebold is a University Professor at the Institute of Applied Physics, Vienna University of Technology, where she leads the Research Unit of Surface Physics. She concurrently serves as Vice President (part-time) of the Austrian Academy of Sciences (ÖAW). Her research focuses on atomic-scale investigations of oxide surfaces, catalysis, and water-oxide interactions using scanning probe microscopy and surface science techniques. Research interests span surface physics, chemical physics, and solid-state phenomena, with emphasis on TiO₂, Fe₃O₄, and perovskite oxides. Key themes include surface defects, polaron dynamics, water adsorption, and catalytic mechanisms. Her group develops advanced methodologies for surface characterization and collaborates extensively on computational modeling. She has received prestigious awards including the Wittgenstein Prize, ERC Advanced Grants (twice), and the Arthur W. Adamson Award. Major honors include memberships in the German Academy of Sciences (Leopoldina), Academia Europaea, and the American Academy of Arts and Sciences. Her laboratory utilizes STM, AFM, LEED, and PLD systems for surface synthesis and analysis. Current projects investigate single-atom catalysis, electrochemical interfaces, and oxide thin-film growth. She leads an active research group with international collaborations and extensive third-party funding.

• Medical Engineering
• Thermography
• Non-Destructive Testing
• +۳ مورد دیگر

Dr. Armin Hochreiner is an Assistant Professor at Linz University of Applied Sciences, specializing in Medical Engineering and Thermography. He leads research projects at the Research Center Linz and TIMed Center, focusing on advanced optical setups, bioprinting, and non-destructive testing. Projects: GBOLF (Greiner Bio One Leichtfried), BF-ABSAOS (Adaptive Beam Shaping), TC-LOEM (Laser-Induced Surface Modification). Research Areas: Optical coherence tomography, two-photon lithography, fiber lasers, and data acquisition systems. His recent work includes a 2025 publication on low-cost pulse generation for 3D-printed microfluidics and a 2024 study on lipid properties in high-density lipoproteins. Grants from Land OÖ Basisfinanzierung and FTI-Strukturförderung support his research on adaptive optics and biocompatible microstructures. Collaborations span biomedical imaging, machine learning integration in optical systems, and interdisciplinary projects with institutions like Greiner Bio One and Springer.

Linus Frankeمشاهده پروفایل

پژوهشگر

• Computer Graphics
• Perceptual Rendering
• Computer Vision
• +۳ مورد دیگر

Linus Franke is a postdoctoral researcher at Inria Sophia Antipolis in France, affiliated with the GraphDeco research group under George Drettakis. He previously completed his PhD at the Chair of Visual Computing , Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) in Germany under Marc Stamminger. His research focuses on Computer graphics Perceptual rendering Computer vision Machine learning Neural rendering Novel view synthesis Key trends in his recent publications include neural rendering , 3D Gaussian splatting , radiance fields , and real-time rendering with applications in virtual reality and light field displays. His work often integrates point clouds , differentiable rendering , and GPU optimization techniques. His personal website at lfranke.github.io highlights projects like VET (Visual Error Tomography) and TRIPS (Trilinear Point Splatting for Real-Time Rendering).

Simon Kranzerمشاهده پروفایل

مدرس ارشد

• Knowledge Transfer
• Cognitive Manufacturing
• Digital Twins
• +۷ مورد دیگر

Simon Kranzer is a Senior Lecturer and Head of Research Group at the Department of Information Technologies and Digitalisation, FH Salzburg. His work bridges academic research and practical application in digital transformation. Location: Campus Urstein, Room 425 Contact: simon.kranzer@fh-salzburg.ac.at | +43-50-2211-1316 Research Focus: Digital Twins for industrial systems Collaborative Robotics (Co-Bots) in retail Knowledge Transfer between academia and industry Operational Technology (OT) Security Data Acquisition and Visualization Programming Language Applications in industrial contexts Research Trends: Recent publications show expertise in retail automation (service robots, customer behavior analysis), industrial digital twins, and OT security. Earlier work spans GIS-SCADA integration, medical software implementation, and 3D microstructure analysis. Collaborative Projects: Active in interdisciplinary living labs, smart factory bootcamps, and 5G-based robotics exploration.

Egon Lüfteneggerمشاهده پروفایل

مدرس ارشد

• Business Process Management
• Sentiment Analysis
• Process Mining
• +۳ مورد دیگر

Egon Lüftenegger is a Senior Lecturer at Fachhochschule Salzburg's Department of Information Technologies and Digitalisation. His work bridges academia and industry through innovative process mining and sentiment analysis applications. PhD in Information Systems (TU Eindhoven) Focus on Service-Dominant Logic and Business Process Management Active in Industry 4.0 and Digital Transformation research His research explores sentiment-driven process redesign, technology-enabled social inclusion, and smart production analytics. Publications highlight process mining frameworks , LLM applications in BPM, and service-dominant business models . Current projects involve creating tools like SentiProMoWeb and Cost-Benefit Tracker, with applications in manufacturing, airline services, and education sectors.

• Dermatology
• Allergology
• Dermatoscopy
• +۴ مورد دیگر

Verena Ahlgrimm-Siess serves as a Clinical Associate Professor and Senior physician in the Department of Dermatology and Allergology at Salzburger Landeskliniken (SALK). With Privatdozent status indicating her post-doctoral academic qualification, she maintains an active clinical and research career with 150 research outputs spanning from 2007 to 2024. Her research interests focus on dermatoscopy as a non-invasive diagnostic tool with broad applications, particularly in facial lesion analysis, nevus examination, and melanoma detection. She has pioneered work in multiplex assays for allergy diagnosis, comparing technologies like Allergy Explorer 2 versus ImmunoCAP ISAC. Her fingerprint reveals strong expertise in allergen research (100%), sensitization (44%), immunoglobulin E (33%), and nevus analysis (33%). Dr. Ahlgrimm-Siess has demonstrated significant research productivity with publication peaks in 2012 (25 outputs) and consistent output through 2024. Her recent work integrates artificial intelligence with dermatology, enhancing diagnostic confidence in melanoma detection. She actively contributes to academic discourse through 98 recorded activities including 91 oral presentations, 5 publication peer-reviews, and conference organization. Her scientific engagement includes serving as a reviewer for Archives of Dermatological Research and delivering keynote presentations on dermatoscopy techniques, trichoscopy, and inflammatory skin condition visualization. Her research has gained notable attention with coverage by 10 news outlets, blog posts, and substantial readership on academic platforms.

Mirjam Ernestusمشاهده پروفایل

استاد

• Psycholinguistics
• Speech comprehension
• Laboratory phonology
• +۵ مورد دیگر

Mirjam Ernestus is a Professor of Psycholinguistics at the Centre for Language Studies within Radboud University's Faculty of Arts. She serves as Chair of the Editorial Board of Radboud University Press and Scientific Director of the Centre for Language Studies since 2017. Her career spans 20+ years in psycholinguistics and phonetics research. Member of Royal Netherlands Academy of Arts and Sciences Recipient of ERC Starting Grant and NWO VICI grant Specializes in speech comprehension and conversational speech Research Focus: Her work integrates psycholinguistics and phonetics to explore auditory word recognition, morphological processing, and cross-linguistic speech phenomena. She develops computational models like DIANA for speech comprehension analysis. Publication Trends: Recent studies examine exemplar-based processing differences between native/non-native speakers, phonetic-morphological interactions, speech rate dynamics, and multimodal language learning approaches. Her work frequently applies machine learning and experimental paradigms. Awards: ERC Starting Grant (2011) NWO VICI grant (2011) KNAW membership (2015) EURYI Award (2006) Leadership: She has directed major research initiatives including the gravitation project Language in Interaction and the Research Unit Spoken Morphology. Her management roles include overseeing 160+ researchers at the Centre for Language Studies.

Mark Steedmanمشاهده پروفایل

استاد

• Computational musical analysis
• Computational linguistics
• Combinatory logic
• +۶ مورد دیگر

Mark Steedman is a Professor of Cognitive Science at the School of Informatics , University of Edinburgh, and an Adjunct Professor in the Department of Computer and Information Science at the University of Pennsylvania. His research bridges Artificial Intelligence , Cognitive Science , and Computational Linguistics , with a focus on Combinatory Categorial Grammar (CCG) , Prosody and Intonation , and Temporal Semantics . He has led the Institute for Language, Cognition, and Computation and contributed to interdisciplinary research at the Human Communications Research Center and Centre for Speech Technology Research . Research Interests : Steedman's work explores the intersection of formal grammar, computational models, and cognitive processes. He investigates how CCG parsing can enhance semantic inference, how prosodic features improve speech processing, and the role of temporal semantics in language understanding. His projects often integrate language models with entailment graphs for question answering and dialogue systems. Scientific Awards : Fellow of the American Association of Artificial Intelligence (1993) Fellow of the Royal Society of Edinburgh (2002) Fellow of the British Academy (2002) Member of Academia Europaea (2006) Best Paper Awards at ACL 2023 and AACL/IJCNLP 2023 Influential Paper Award (IFAAMAS 2017) Recent Trends in Publications : His recent work emphasizes language models for semantic inference , entailment graphs in multilingual settings, and incremental parsing for brain-language interfaces. Papers address challenges in hallucination , cross-lingual transfer , and prosody-text alignment .

Kathryn Lilleyمشاهده پروفایل

استاد

• Spatial biology
• Quantitative proteomics
• Subcellular biology
• +۷ مورد دیگر

Kathryn Lilley is a Professor in the Department of Biochemistry at the University of Cambridge, where she has held academic positions since 2004. She is Director of the Cambridge Centre for Proteomics and a Fellow of Jesus College, Cambridge. She also serves as a Member of the Milner Therapeutics Institute and previously led the Mass Spectrometry theme at the Rosalind Franklin Institute. Her research focuses on developing innovative technologies for spatial proteomics and transcriptomics, with particular emphasis on understanding the dynamic organization of proteins and RNA within cells. Her group creates robust open-source informatics pipelines that enable end-to-end analysis of proteomic data, making their methods widely accessible to the research community. Recent work has expanded into investigating the subcellular spatial transcriptome and its interactions with the proteome, generating significant interest in RNA biology. Lilley's publications reveal a strong focus on advancing spatial proteomics methodologies, with recent work emphasizing computational approaches, neural networks for data analysis, and novel techniques for studying RNA-protein interactions. Her research bridges biochemistry, computational biology, and cell biology, with applications in understanding cellular perturbation responses and disease mechanisms. 2020 Elected as a member of EMBO 2018 Human Proteomics Organisation, Distinguished Achievement in Proteomic Sciences Award 2017 European Proteomics Association Juan Pablo Albar Proteomics Pioneer award 2012 Fellow of the Royal Society of Biologists Lilley receives considerable funding from the Pharmaceutical Industry and collaborates widely both nationally and internationally. She heads a large research group that develops technologies for interrogating spatial distributions of the proteome and its reorganization upon cellular perturbation. Her work is highly regarded in the field, as evidenced by numerous plenary and keynote invitations at international conferences.

• Geomechanics
• Peridynamics
• Phase-field model
• +۷ مورد دیگر

Privatdozent Dr. Yunteng Wang is a faculty member at the Institute of Geotechnical Engineering within the Department of Landscape, Water and Infrastructure at the University of Natural Resources and Life Sciences, Vienna (BOKU). He earned his Habilitation in Geotechnical Engineering from BOKU University in 2024 and previously served as an FWF Lise Meitner Research Fellow at the institution (2021-2024). His academic background includes a Ph.D. in Engineering from Chongqing University, China (2013-2019) and a Bachelor's degree in Civil Engineering from the same university (2009-2013). Dr. Wang's research focuses on advanced computational methods in geomechanics, particularly in the areas of: Geomechanics and rock mechanics Peridynamics and phase-field modeling Fracture and localization phenomena Data-driven approaches and machine learning applications Geothermal energy extraction mechanics His recent publications demonstrate a strong trend toward integrating traditional geomechanical modeling with cutting-edge computational techniques, including sophisticated numerical frameworks that combine peridynamics, phase-field methods, and data-driven strategies to address complex fracture and failure phenomena in geological materials. His work spans from fundamental theoretical developments to practical applications in geothermal energy and infrastructure engineering. Dr. Wang has been recognized with notable awards including the Acta Geotechnica Best Paper Prize (2019) and the Excellent Doctoral Dissertation award from the Chinese Society for Rock Mechanics & Engineering (2020). He currently leads three significant research projects funded by the European Commission and industry partners, focusing on: Solid and Fluid Phase Transition of Granular Materials (2026-2030) Modern numerical methods for high-fidelity simulation of geohazards (2025-2029) CO2 enhanced development of HDR and safe capping (2023-2025) Dr. Wang serves as an active member of the scientific community, reviewing for prestigious journals including Computers & Structures, Rock Mechanics and Rock Engineering, Acta Geotechnica, GEOTECTONICS, Geofluids, and Engineering Fracture Mechanics, while also evaluating proposals for organizations like the Vienna International School of Earth and Space Sciences (VISESS).

• Vehicle Dynamics
• Automotive Engineering
• Tire-Road Interaction
• +۴ مورد دیگر

Cornelia Lex is an Associate Professor at Graz University of Technology's Institute for Vehicle Engineering. Her work focuses on vehicle dynamics, tire-road interaction, and human-machine interaction in automated driving systems. She employs advanced modeling and control strategies for tire mechanics, friction estimation, and safety-enhancing driver assistance technologies. Academic Affiliation: Graz University of Technology Research Areas: Vehicle dynamics, tire modeling, friction estimation, automated driving Contact: cornelia.lex@tugraz.at Her research spans tire wear emissions, sensor fusion for vehicle state estimation, and environmental impact analysis of transportation systems. Recent publications address tire wear particle distribution, online tire modeling, and water detection systems for automated driving. She leads projects funded by the Austrian Society of Automotive Engineers (ÖVK) and contributes to multidisciplinary development of driving simulators and driver assistance systems.