جستجوی استاد راهنمای دانشگاهی

Paolo Fornasieroمشاهده پروفایل

استاد

• Heterogeneous Catalysis
• Nanostructured Materials
• Environmental Catalysis
• +۷ مورد دیگر

Professor Paolo Fornasiero is a Full Professor of Inorganic Chemistry at the University of Trieste, Department of Chemical and Pharmaceutical Sciences, where he has worked since 1998. He serves as Deputy Director of the department since 2021 and Scientific Responsible of the CNR Research Unit associated with the Institute of Chemistry of OrganoMetallic Compounds (ICCOM) since 2008. His career spans EU projects, bilateral collaborations with China, India, and Argentina, and leadership roles in journals like ACS Catalysis (Executive Editor since 2021). Full Professor (2016–present) Associate Professor (2006–2016) Assistant Professor (1998–2006) Post-Doc, University of Reading (1996–1997) His research focuses on multi-functional metal-oxide nanosystems for energy and environmental catalysis, including green hydrogen production , CO2 valorization , and methane emission control . He pioneered core-shell catalysts and single-atom systems for stability and selectivity. His work extends to solid oxide fuel cells and photocatalytic water depollution . Recent publications highlight trends in photothermal catalysis , single-atom catalysts , and CO2 electroreduction . His 280+ papers (3 in Science , 2 in Nature Communications ) reflect expertise across Environmental Catalysis , Nanomaterials , and Green Energy . 2022 Malatesta Medal 2021 European Academy of Sciences member 2017 Edoardo Kramer Award 2016 Heinz Heinemann Award 2013 Chiusoli Gold Medal He oversees PhD/postdoc advising and participates in global capacity-building via UNIDO and World Academy of Sciences . His lab collaborates with institutions like KAUST , Czech Academy of Sciences , and Dalian Institute of Chemical Physics .

Miklós Korenمشاهده پروفایل

استاد

• International Trade
• Economic Development
• Productivity Analysis
• +۵ مورد دیگر

Miklós Koren is a Professor of Economics at Central European University and Senior Research Fellow at the HUN-REN Centre for Economic and Regional Studies. His work bridges international trade , economic development , and managerial economics , focusing on trade policy, productivity spillovers, and the role of managers in development. Ph.D., Harvard University (2005) M.A., Central European University (2000) M.Sc., Budapest University of Economics (1999) His research explores trade facilitation , managerial impact on firm performance , and technological diversification . Recent work includes studies on expatriate managers, pandemic-related business disruptions, and the legacy of communist-era management practices. Key trends in his publications (2020–2024) emphasize managerial mobility and firm productivity (2024) machine learning vs. gravity models (2024) trade volatility and development (2023) data transparency standards (2022) Scientific awards include ERC Starting Grant (2012) Nicholas Káldor Prize (2014) Young Economist Award (2002, 2004) As Data Editor for Review of Economic Studies and Associate Editor for Journal of International Economics , he shapes methodological rigor in empirical research. His 2013 paper on technological diversification remains foundational for understanding volatility in developing economies.

Frank Gloriusمشاهده پروفایل

استاد

• Photocatalysis
• C-H activation
• Arene hydrogenation
• +۷ مورد دیگر

Frank Glorius is a Professor of Organic Chemistry at the University of Münster, Germany. With a career spanning multiple institutions, he focuses on developing innovative catalytic methods for organic synthesis and materials science. Born: 1972, Germany Education: PhD in Organic Chemistry (summa cum laude), University of Basel & Max-Planck-Institut für Kohlenforschung Key Research Areas: Photocatalysis, C-H Activation, Organocatalysis, Data Science, and N-Heterocyclic Carbenes His recent work emphasizes photocatalysis , machine learning for reaction modeling , and catalytic hydrogenation . He has pioneered interdisciplinary approaches combining organic chemistry with computational methods. Scientific Awards: Clarivate Highly Cited Researcher (2014-2021) ERC Advanced Grant (2018) Gottfried Wilhelm Leibniz-Award (2013) Alfried Krupp Prize for Young University Teachers (2006) He leads the Glorius Group, which organizes symposia on photochemistry and data science, and engages in industry-academia collaborations through the Forschung der Chemischen Industrie symposium.

Robert Ahrendsمشاهده پروفایل

استاد

• Lipid Biochemistry
• Mass Spectrometry
• Lipid Metabolism
• +۳ مورد دیگر

Robert Ahrends is a Professor at the Faculty of Chemistry , affiliated with the Institute of Analytical Chemistry . His research bridges Lipid Biochemistry , Mass Spectrometry , and Lipid Metabolism , with a focus on thromboinflammation, platelet biology, and Drosophila models. Recent projects include Lipid communication in thromboinflammation (2024–2027) and Lipidomic analysis in EPA medication (2020–2023). He has published extensively on lipid signaling, proteomic-lipidomic interactions, and methodological advancements in mass spectrometry. Key publications (2024–2025) highlight work on platelet-derived lipid mediators , synaptic lipid metabolism , and ceramide standardization . Collaborations span international institutions, addressing lipidomics standardization and cardiovascular diseases.

Nikolaus Hautschمشاهده پروفایل

استاد

• Econometrics
• Finance
• Market Microstructure
• +۳ مورد دیگر

Nikolaus Hautsch is a full Professor at the Faculty of Economics, Institute of Statistics and Operations Research. His work focuses on econometrics, finance, and high-frequency data analysis. Research Interests : Market microstructure, volatility modeling, transaction costs, systemic risk, and machine learning applications in finance. Publication Trends (2025–2018): 2025: High-dimensional portfolio optimization, dynamic systemic risk 2024: Blockchain asset arbitrage, DeFi, polarization metrics, jump detection 2023–2022: Microstructural noise, volatility forecasting, neural networks Scientific Awards : Fellow of the Society for Financial Econometrics (2014) Projects : Artificial Intelligence in Rowing (2022–2025) Vienna Graduate School of Finance (2018–2022) Risk management of CCPs

Stephan Leitnerمشاهده پروفایل

دانشیار

• Agent-Based Modeling and Simulation
• Organizational Dynamics
• Complex Systems
• +۵ مورد دیگر

Associate Professor at the University of Klagenfurt , affiliated with the Department of Management Control and Strategic Management under the Faculty of Economics and Law . Research focuses on agent-based modeling applied to organizational dynamics , complex systems , and managerial economics . Holds a doctoral degree in Social Sciences and Economics (2012) and venia docendi in Business Economics (2018) . Core faculty member in the Self-Organizing Systems research cluster Academic editor for PLoS ONE and editorial board member for multiple journals Recipient of the 2021 Advancement Award (Humanities/Social Sciences) from Carinthian government Research integrates computational simulation with organizational theory , examining phenomena like decentralized task allocation , incentive mechanisms , and reproducibility in social sciences . Teaching portfolio includes business analytics , management control , and scientific modeling at undergraduate and graduate levels. Recent publications explore organizational resilience , team coordination dynamics , and financial modeling using agent-based simulation techniques. Active participant in international conferences like Social Simulation Conference and European Conference on Operational Research .

Stephen Bustinمشاهده پروفایل

استاد

• Cancer biomarkers
• Molecular genetics
• Reverse transcription
• +۵ مورد دیگر

Stephen Bustin is a Professor of Molecular Medicine at Anglia Ruskin University , UK. He has held multiple academic positions, including Professor of Molecular Science at Queen Mary University of London (2004-2012) and Senior Lecturer/Reader at Barts and The London School of Medicine & Dentistry. Academic Ranks: Professor (Molecular Medicine, Anglia Ruskin University, 2014-present) Education: PhD in Molecular Genetics, Trinity College Dublin Research Interests: Bustin's work focuses on improving molecular diagnostic techniques, particularly PCR, with applications in infectious disease testing (e.g., SARS-CoV-2) and cancer biomarkers (e.g., colorectal cancer). He pioneered the MIQE guidelines for standardized qPCR reporting and developed rapid diagnostic assays like CoV2-ID for point-of-care testing. Publication Trends: Recent articles emphasize PCR standardization, reproducibility challenges, and rapid diagnostic solutions for SARS-CoV-2. His work spans molecular diagnostics, assay design, and scientific integrity, with a strong focus on clinical applications. Awards: 2010 : Fellow of the Society of Biology (FSB) 2006-2013 : Visiting Professor of Molecular Biology, University of Middlesex Expert Testimony: Bustin served as an expert witness in high-profile trials, including the MMR vaccine-autism class action (2003-2007) and the Lundy murders (2015), where he critiqued flawed molecular evidence. Grants & Collaborations: While no specific grants are listed, he led international consortia for MIQE guidelines and collaborated with institutions like TATAA Biocenter and Kim-Il-Sung University. His work includes developing rapid PCR assays and debunking misinformation about diagnostic techniques. Labs & Teams: Bustin's research has been conducted at Anglia Ruskin University, with collaborations in the UK, Switzerland, and New Zealand. He actively promotes transparency in molecular research through his publications and advocacy.

• Metabolomics
• Analytical Chemistry
• Plant-Microbe Interaction
• +۲ مورد دیگر

Rainer Schuhmacher is a Full Professor for Plant and Microbe Metabolomics 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 focuses on metabolomics, analytical chemistry, and plant-microbe interactions, with emphasis on fungal secondary metabolites, mycotoxin resistance, and environmental stress responses in crops. He leads projects funded by the Austrian Science Fund (FWF), European Commission, and national agencies. Research interests span: Metabolomic profiling of plant-pathogen interactions (e.g., Fusarium -wheat systems) Stable isotope-assisted techniques for metabolic pathway analysis Cold stress mitigation in plants using Antarctic bacteria Development of computational tools for untargeted metabolomics data processing His work integrates analytical chemistry, bioinformatics, and molecular biology to study metabolic crosstalk in agricultural systems. Awards include the Fritz-Feigl-Preis (2012) and Dr.-Wolfgang-Houska-Preis (2005). He has supervised multiple PhD projects and leads the Plant-Microbe Metabolomics group, managing core metabolomics platforms and international collaborations. Key projects: Chemical crosstalk in mycoparasitic interactions (FWF) Metabolomics of cold stress tolerance mediated by psychrotolerant bacteria Extension of metabolomics platforms for plant-pathogen studies

• Demography
• Climate Change and Sustainability
• Population Forecasting
• +۵ مورد دیگر

Erich Striessnig is an Associate Professor at the University of Vienna's Department of Demography, serving as Deputy Head of the department. He actively contributes to teaching courses such as Population Forecasting and Population, Climate Change and Sustainable Development , and collaborates with the Environment and Climate Research Hub. Research Focus : Striessnig integrates demography with climate change, sustainability, and human capital. His work examines how environmental concerns interact with fertility decisions, the role of education in climate risk mitigation, and the relationship between aging populations and temperature-related mortality. He also investigates demographic metabolism, intergenerational equity, and computational reproducibility in research. Scientific Contributions : His recent publications in Global and Planetary Health and Demographic Research include analyses of sustainable wellbeing metrics (e.g., 'Years of Good Life'), demographic responses to climate change, and methodological studies on data uncertainty. A key project, Climate, Health and Population (CHAP) , explores vulnerability differences in Vienna's metropolitan region.

• Data Management
• Digital Preservation
• Machine Learning
• +۴ مورد دیگر

Andreas Rauber is an Associate Professor in the Department of Data Science at Technical University of Vienna. He serves as Curriculum Coordinator for Bachelor and Master programs in Business Informatics and Data Science, and chairs the Curriculum Commission for Business Informatics. His research focuses on Information Systems Engineering, Logic and Computation, and Visual Computing, addressing challenges in data management, digital preservation, and reproducibility in e-science. He leads projects like OS Trails and FAIR-AI, emphasizing FAIR principles and trustworthy research infrastructures. Rauber has contributed to over 150 publications, including works on data citation frameworks, adversarial ML defenses, and reproducibility in IR. His work bridges technical innovation with policy, exemplified through roles in the EOSC Support Office Austria and RDA Austria initiatives. Key projects include establishing FAIR data practices across universities and advancing digital preservation through repositories like DBRepo. He coordinates international collaborations, such as the EU-funded EOSC-Life and EGI Advanced Computing projects. His teaching spans courses in machine learning, information retrieval, and research methods, fostering next-generation data scientists.

• Data Mining
• Machine Learning
• Clustering Algorithms
• +۳ مورد دیگر

Anna Beer is a researcher in the Faculty of Computer Science, specializing in data mining and machine learning with a focus on density-based clustering, spectral clustering, and interactive clustering frameworks. She holds a BSc and MSc in computer science and maintains an ORCID profile (https://orcid.org/0000-0002-6890-997X) for her research contributions. Research Themes: Development of clustering algorithms (e.g., DISCO, Scar, LUCKe), fairness in density-based clustering (FairDen), and applications to molecular dynamics and climate research (DROPP). Collaborations: Works with colleagues like Ira Assent, Christian Plant, and Lars Krieger, with recent contributions to conferences like ICLR 2025. Activities: Presented research on density-connectivity distance at a 2023 oral contribution. Publications: 9 publications since 2019, including 3 in 2025 and 6 in 2024, covering topics from cluster evaluation to deep active learning strategies.

• Formal Methods
• Software Verification
• Concurrent Systems
• +۶ مورد دیگر

Thomas Henzinger is a Professor at the Institute of Science and Technology Austria (ISTA), where he leads the Henzinger Thomas Group focused on improving software reliability through mathematical methods. He previously served as ISTA's President (2009–2022) and held academic positions at EPFL, Max Planck Institute, UC Berkeley, and Cornell University. Education: Dipl.-Ing. in Computer Science (Johannes Kepler University, Austria), M.S. in Computer and Information Sciences (University of Delaware), PhD in Computer Science (Stanford University), and Honorary Doctorates from Fourier University (France) and Masaryk University (Czech Republic). The group's research spans concurrent systems , embedded systems , quantitative model checking , runtime monitoring , and trustworthy AI . They develop tools like HyTech and VAMOS, emphasizing predictability, robustness, and fairness in safety-critical software. Recent publications highlight trends in quantitative automata , fairness in AI , quantum algorithms , and automata theory , reflecting interdisciplinary applications from cyber-physical systems to neural networks. Collaborative projects include SPyCoDe (security foundations) and VAMOS (software monitoring). Honors & Awards: 2024 Fellow of the Royal Society 2020 Member, US National Academy of Sciences 2015 Royal Society Milner Award 2012 Wittgenstein Award 2006 ACM and IEEE Fellow 1995 NSF CAREER and ONR Young Investigator Awards Henzinger advises current and former PhD students including Mahyar Karimi, Pavol Kebis, and Mathias Lechner. His grants include ERC Advanced Grants (QUAREM, VAMOS) and FWF funding (Wittgenstein Award, NFN RISE). Labs & Teams: He leads the Henzinger Thomas Group at ISTA, collaborating with FORSYTE (TU Wien) and contributing to EU-funded initiatives. The group integrates postdocs, PhD students, and interns in formal methods and system verification.

• Artificial Intelligence
• Recommender Systems
• Information Systems
• +۲ مورد دیگر

Dietmar Jannach is a Full Professor at the University of Klagenfurt, Austria, affiliated with the Institute for Artificial Intelligence and Cybersecurity where he leads the Research Group for Information Systems. His academic roles include membership in the university's Senate and Curricular Commissions for Liberal Arts and Information Management. His research spans: Core Areas : Artificial Intelligence, Recommender Systems, and Software Engineering. Methodological Focus : Algorithm reproducibility, fairness in AI, sequential recommendations, and hybrid learning models. Emerging Interests : Generative AI for group decision support, ethical recommender systems, and foundation model applications. Jannach's recent publications critically evaluate reproducibility challenges in AI research, advocate for calibrated recommendations to mitigate bias, and explore agentic paradigms in group recommender systems. He emphasizes real-world validation, with studies on deployment challenges and developer experiences in software processes. He actively contributes to academic governance and mentors through research groups, though specific student advisees are not listed. Contact via Dietmar.Jannach@aau.at .

Christine Bauerمشاهده پروفایل

استاد

• Recommender Systems
• Human-Computer Interaction
• Algorithmic Fairness
• +۴ مورد دیگر

Christine Bauer is a University Professor at the University of Salzburg specializing in Artificial Intelligence and Human Interfaces. She serves as Head of the program area 'InterMediation. Music—Effect—Analysis' (2024-2028) and is actively involved in the EXDIGIT project (Excellence in Digital Sciences and Interdisciplinary Technologies) running from 2022 to 2028. Her work spans computer science, social sciences, and economics, contributing to Sustainable Development Goals related to education and responsible innovation. Her research focuses on recommender systems, particularly examining fairness, gender bias, and ethical considerations in music recommendation algorithms. She investigates how choice models and ranking strategies impact gender imbalance in music recommendations, explores value alignment in news recommenders, and develops frameworks for evaluating conversational agents. Her interdisciplinary approach bridges technical algorithm development with social science perspectives to create more equitable and transparent recommendation systems. The analysis of her recent publications reveals a strong trend toward interdisciplinary evaluation frameworks for recommender systems, with particular emphasis on fairness metrics, gender bias mitigation, and stakeholder-centered perspectives. Her work increasingly addresses the social implications of algorithmic decision-making, especially in music streaming contexts where artist diversity and representation are critical concerns. She has been instrumental in establishing evaluation standards that consider multiple stakeholder perspectives beyond just end-users. Women in RecSys Journal Paper of the Year Award 2024, Senior category Women in RecSys Journal Paper of the Year Award 2023, Senior category Best Reviewer Award @ UMAP 2022 Best Reviewer Award @ RecSys 2019 CPDP 2013 Multidisciplinary Privacy Research Award Professor Bauer actively mentors through conference workshops and serves as an Independent Ethics Advisor (2023-2025). She has secured significant research funding through projects like EXDIGIT and has contributed to numerous grant-funded initiatives focused on digital sciences and interdisciplinary technologies. Her organizational activities include chairing major conferences such as the European Conference on Information Retrieval (2026) and the Human-Computer Interaction Conference of the Alpine region (2026). She leads research teams focused on recommender systems evaluation, particularly through the Perspectives on Evaluation of Recommender Systems (PERSPECTIVES) workshop series and the Music Recommender Systems (MuRS) workshops. Her current work with the EXDIGIT project involves collaboration with researchers across multiple disciplines to advance digital sciences and interdisciplinary technologies.

Andreas Rauberمشاهده پروفایل

دانشیار

• Digital Preservation
• Machine Learning
• Data Citation
• +۳ مورد دیگر

Ao.Univ.Prof. Dipl.-Ing. Dr.techn. Andreas Rauber is an Associate Professor at TU Wien's Research Department E-Commerce. His work focuses on digital preservation, machine learning, and reproducible research. He leads projects like EOSC-Life (FAIR principles in life sciences) and PLANETS (long-term data access). Key affiliations include the Network Lab and TU Wien's Institute for Software Technology. His research emphasizes data citation frameworks, secure data infrastructure (OSSDIP), and ethical AI practices. He has advised over 20 PhD/Master’s students in areas like adversarial ML and privacy-preserving systems. Notable contributions include DBRepo (semantic databases) and the DBRepo infrastructure for relational data. He collaborates internationally on initiatives like EOSC support offices and cultural heritage projects linking ethnomusicology datasets.