جست‌وجوی استاد و پژوهشگر

Thomas Bäckمشاهده پروفایل

استاد

• Artificial Intelligence
• Evolutionary Computation
• Machine Learning
• +۶ مورد دیگر

Thomas Bäck is a Full Professor at the Leiden Institute of Advanced Computer Science (LIACS), Leiden University, and Chief Scientist at NORCE Norwegian Research Center, Norway. His career spans roles as Director of the Center for Applied Systems Analysis (Germany) and Vice Scientific Director at LIACS (since 2017). He holds additional positions like Adjunct Professor at the University of Calgary and Visiting Professor at Xi'an Jiaotong University. Bäck's research focuses on evolutionary computation, machine learning, and their applications in sustainable smart industry and health. He leads interdisciplinary initiatives like the Society, Artificial Intelligence, and Life Sciences (SAILS) program, with expertise in natural computing, data-driven optimization, and quantum computing challenges. IEEE Fellow (2022) Member of KNAW (2021) IEEE CIS Pioneer Award (2015) Fellow of International Society of Genetic and Evolutionary Computation (2003) Best PhD Thesis Award from German Society of Computer Science (1995) Bäck has graduated 22 PhD students and currently supervises 14, with 62 MSc students mentored. His editorial roles include Editor-in-Chief of the Evolutionary Computation Journal and Associate Editor for multiple journals. He has secured grants from the Dutch Research Council and The Research Council of Norway for projects like ECOLE and CIMPLO.

Tobias Schreckمشاهده پروفایل

استاد

• Visual Data Analysis
• 3D Object Retrieval
• Visual Analytics
• +۵ مورد دیگر

Tobias Schreck is a Professor at the Institute of Visual Computing (formerly Computer Graphics and Knowledge Visualization) at Graz University of Technology, affiliated with the Faculty for Computer Science and Biomedical Engineering. His research focuses on Visual Data Analysis, 3D Object Retrieval, and Immersive Analytics, with applications in engineering and industrial contexts. He holds a Dr.rer.nat. from the University of Konstanz and has held academic positions including Assistant Professor at the University of Konstanz and Head of the Visual Search and Analysis Group at TU Darmstadt. Education: Dr.rer.nat., University of Konstanz (2006) M.Sc. in Information Engineering, University of Konstanz (2002) Dipl.-Volkswirt (M.Sc. Economics), University of Konstanz (1999) His research interests include visual analytics for high-dimensional and spatial-temporal data, digital libraries, and collaborative analysis tools. He leads funded projects like HEREDITARY (EU Horizon Europe) and VR4CPPS (FFG), and has served as a program chair for IEEE VAST and EuroVis. His work emphasizes user interaction, eye-tracking integration, and immersive visualization techniques. He supervises a research team including postdocs, PhD students, and student assistants, and collaborates on projects like CrossSAVE-CH and the Joint PhD Programme with Nanyang Technological University. His contributions span publications in IEEE Transactions, EuroVis, and ACM conferences, addressing challenges in data exploration, anomaly detection, and visualization design.

• Social Sciences
• Demography
• Statistics
• +۳ مورد دیگر

Dr. Marcus Wurzer is a researcher in the Department of Statistics and Mathematics at WU Vienna. His work focuses on social stratification, education policy, demography, and microsimulation modeling. He has contributed to studies on gender segregation in educational fields, demographic projections in heterogeneous societies, and pension system dynamics. Key projects include the development of dynamic microsimulation models for Austrian labor markets and pension systems. Education background not explicitly detailed in text, but his academic contributions span interdisciplinary research in statistics, sociology, and economics. He received the 'Preis für innovative Lehre' award in 2007 for his teaching concept 'Statistik integrativ', collaborating with colleagues at WU Vienna. His research activities include presentations at international conferences on topics like socio-economic segregation in teacher training programs and graphical models in microsimulation. He has led a major research project from 2007–2014 focused on developing microsimulation tools for long-term career trajectory projections.

Georg Pölzlbauerمشاهده پروفایل

پژوهشگر

• Machine Learning
• Data Visualization
• Artificial Intelligence
• +۳ مورد دیگر

Georg Pölzlbauer is a researcher affiliated with the Department of Information and Software Engineering at Vienna University of Technology (TU Wien). His work focuses on machine learning, data visualization, and artificial intelligence, particularly leveraging self-organizing maps (SOM) for exploratory data analysis. He holds a Dipl.-Ing. (Diploma in Engineering) and a Dr.techn. (Doctor of Technical Sciences). His research emphasizes advanced visualization techniques for SOMs, including vector fields and graph-based methods, applied to diverse domains like petroleum data and political datasets. He has contributed to supervised learning algorithms inspired by self-organization, such as Decision Manifolds. Publications span algorithm design, cluster analysis, and pattern recognition, with applications in music feature extraction and industry-specific data visualization. No scientific awards are explicitly mentioned, but his work reflects sustained engagement with computational and visual data analysis. While no advising or grant information is provided, his affiliation with TU Wien’s research unit suggests active participation in collaborative academic projects.

Neda Ghiassiمشاهده پروفایل

پژوهشگر

• Urban Energy Modeling
• GIS Applications
• Sustainable Architecture
• +۳ مورد دیگر

Neda Ghiassi is an affiliated researcher at TU Wien's E259 - Institut für Architekturwissenschaften , focusing on urban energy modeling and computational frameworks. Her work integrates Geographic Information Systems (GIS), data analysis, and interdisciplinary approaches to address urban energy challenges. Key projects include MOTIVE (vacuum glass integration in construction) and EMULATE (urban energy assessment tools). She has published extensively on topics like high-resolution energy modeling, building product data handling, and cluster analysis for urban systems. Her research emphasizes sustainable urban development through innovative computational methods, bridging technical, social, and policy dimensions. She collaborates on projects funded by Research Studios Austria and contributes to teaching via research-guided courses. Notable outputs include a doctoral thesis on an hourglass model for urban energy systems and reports detailing project advancements in energy efficiency and building technology. Her expertise spans technical documentation, multi-stakeholder data collaboration, and scenario-based modeling. Current work explores human-centric energy modeling (MAIN_STREAM) and semantic web approaches for building product data. No awards are explicitly listed, but her contributions reflect significant engagement in academic and applied research.

• Applied Statistics
• Statistical Modeling
• Data Analysis
• +۳ مورد دیگر

Siegfried Hörmann is a Professor at the Institute of Statistics within Graz University of Technology. His research focuses on applied statistics and related disciplines in statistical modeling and data analysis. Contact: Email: shoermann@tugraz.at Phone: +43 316 873-6476 Fax: 6977 Office: Room NT03110, Kopernikusgasse 24/III, 8010 Graz, Austria

• Statistical Methods
• Machine Learning
• Materials Science
• +۵ مورد دیگر

Matthias Neumann is an Assistant Professor at the Institute of Statistics, Graz University of Technology . He completed his PhD in 2020 at Ulm University under Prof. Volker Schmidt, earning the PhD prize of Ulm University . His research focuses on stochastic 3D modeling and statistical analysis of micro- and nanostructures for functional materials, including battery electrodes , fuel cells , and paper-based materials . He has received start-up funding from ProTrainU (2020-2022) and served as principal investigator in the POLiS Cluster of Excellence (2022-2023). Research Interests: His work integrates mathematical morphology , machine learning , and spatial statistics to develop methods for microstructure quantification , estimation of geometrical descriptors (e.g., tortuosity, constrictivity), and data-driven models linking morphology to effective physical properties . He utilizes random fields , point processes , and copulas for virtual microstructure generation and parameter estimation. Teaching: He lectures on Applied Statistics , Statistical Modeling , and Mathematical Statistics at Graz University of Technology, with prior teaching experience at Ulm University in Multivariate Stochastic Modeling , Point Processes , and Spatial Statistics . Scientific Achievements: PhD prize of Ulm University (2020) ProTrainU start-up funding (2020-2022) POLiS Cluster of Excellence grant (2022-2023) Publications: His 15 most recent articles (2023-2025) emphasize machine learning techniques for microstructure segmentation , stochastic 3D modeling of nanoporous materials , and data-driven quantification of transport-property relationships . Key topics include random forests , neural networks , and R-vine copulas applied to fuel cells , sodium-ion batteries , and polymer electrolytes .

Christian Huckمشاهده پروفایل

استاد

• Analytical Chemistry
• Vibrational Spectroscopy
• Quantum Chemical Simulations
• +۷ مورد دیگر

Christian Huck is a full Professor and Head of the Institute of Analytical Chemistry and Radiochemistry at the University of Innsbruck. He holds roles including Deputy Head of Institute (2009), Vice-President of the Austrian Chemical Society (2019), and Head of the Faculty of Chemistry and Pharmacy Council (2021). His academic journey includes a Dr.rer.nat. (1998), Habilitation in Analytical Chemistry (2006), and professorships at Universities of Stuttgart (2014) and Innsbruck (2015). Research focuses on vibrational spectroscopy (NIR/MIR/Raman/FUV), quantum chemical simulations, separation technologies (LC/MS/MS), and applications in phytomics, metabolomics, and proteomics. He leads projects like 'Cereal' (Interreg Austria-Italy) and 'Qualimeat' (Interreg Austria-Bavaria), and collaborates with industries like Bionorica SE. His lab uses advanced instruments including Bruker SenterraII Raman and Orbitrap Exploris 120. Huck is an award-winning scientist with honors including the SAS Fellow Award (2021) and Birth Award (2022). He chairs conferences like NIR 2023 and serves on editorial boards of Spectrochimica Acta and Frontiers in Chemistry . Current research spans forensic bone analysis, environmental microplastics, and handheld NIR sensors for food safety.

• Analytical Chemistry
• Food Safety
• Mycotoxins
• +۵ مورد دیگر

Rudolf Krska is a full Professor at the University of Natural Resources and Life Sciences, Vienna (BOKU), where he leads the Institute for Bioanalytics and Agro-Metabolomics in Tulln. His joint appointments include Professorships at Queen's University Belfast and Kansas State University. With a career spanning over three decades, he specializes in analytical chemistry, food/feed safety, and mycotoxin research. Research Focus: Krska's work centers on developing cutting-edge analytical methods (LC-MS/MS, infrared spectroscopy) for detecting contaminants in food chains. Key areas include: Mycotoxin control strategies and metabolomics of plant-fungi interactions Immunoassays, reference materials, and proficiency testing Climate change impacts on food contaminants and rapid on-site detection technologies Scientific Output: His recent publications (2024-2025) demonstrate a strong emphasis on spectroscopic mycotoxin detection, climate-related contaminant patterns, and global food safety challenges, particularly in vulnerable regions like Sub-Saharan Africa. Awards & Honors: Nils Foss Excellence Prize (2024), Chemistry Leader Award (2023) 5x Web of Science Highly Cited Researcher (2015-2019) Honorary Professor (China), Royal Irish Academy Membership Golden Ring of Tulln, Fritz-Pregl-Medal, and 20+ other distinctions Leadership & Projects: Krska directs major initiatives including FFoQSI's strategic research and EU projects like MyControl-ET. He founded two spin-offs (Biopure, Quantas Analytics) and oversees BOKU's analytical core facilities. Education & Training: Trained at TU Wien (Dipl.-Ing. 1990, Dr.techn. 1993), he mentors emerging scientists through international collaborations and laboratory management.

• Mycotoxins
• Mass Spectrometry
• Analytical Chemistry
• +۳ مورد دیگر

Franz Berthiller is an Associate Professor at the University of Natural Resources and Life Sciences, Vienna (BOKU), affiliated with the Department of Agricultural Sciences and the Institute of Bioanalytics and Agro-Metabolomics in Tulln an der Donau. His research specializes in mycotoxin analysis, mass spectrometry, and metabolomics, with a focus on developing advanced detection methods and understanding toxin metabolism in food/feed systems. He leads significant projects like the EU-funded BIOTOXDoc (2023–2027) and FWF-supported studies on modified fumonisins. Research interests include: Development of LC-MS/MS methods for mycotoxin quantification Metabolic pathways of trichothecenes and fumonisins Plant-fungal interactions affecting toxin production Biomarker discovery for contaminant exposure Multi-omics approaches in food safety Berthiller's recent publications emphasize metabolomics method optimization, environmental impacts on mycotoxin biosynthesis, and enzymatic modification of toxins. His work integrates analytical chemistry, molecular biology, and agricultural science to address food safety challenges. He directs a research group at the Institute of Bioanalytics and Agro-Metabolomics, collaborating internationally on projects related to mycotoxin management. No awards or supervised students are documented.

Thomas Forstnerمشاهده پروفایل

مدرس ارشد

• Medical Statistics
• Biostatistics
• Dental Implant Research
• +۳ مورد دیگر

Thomas Forstner is a Senior Lecturer and Deputy Head of the Department of Applied Systems Research and Statistics at Johannes Kepler University Linz. With over 15 years of academic experience, he has established himself as a prominent researcher in medical statistics with a particular focus on dental implant studies and clinical research methodology. His educational background includes: Bachelor's degree in Statistics from Johannes Kepler University Linz (2005), with thesis on "Imputation methods in Austrian economic statistics" and "Selected multiple test procedures" Master's degree in Statistics from Johannes Kepler University Linz (2007), graduated with distinction, with thesis on "ROC curves as a means of evaluating classification schemes" Dr. Forstner's research primarily focuses on medical statistics, particularly in dental implantology and clinical research. His work examines classification systems, covariate adjustment in medical studies, and statistical methodology for clinical trials. He has made significant contributions to understanding factors affecting dental implant success, sinus augmentation procedures, and bone regeneration techniques. His research bridges statistical methodology with practical clinical applications, providing valuable insights for both statisticians and medical professionals. His recent publications demonstrate a strong trajectory in dental implant research, with particular emphasis on sinus augmentation techniques, bone grafting materials, and long-term outcomes of implant procedures. He has also maintained an active interest in statistical methodology, particularly in multiple testing procedures and educational applications of statistics. Dr. Forstner is actively involved in teaching statistics across multiple disciplines including Business Informatics, Computer Science, and AI. He also teaches specialized courses in Biostatistics and Clinical Research at both JKU and external institutions including the University of Applied Sciences for Health Professions in Linz and Steyr.