جستجوی استاد راهنمای دانشگاهی

Emanuel Sallinger is a Full Professor at TU Wien's Databases and Artificial Intelligence Group and Vice Dean of Academic Affairs for Business Informatics and Data Science. He leads the Knowledge Graph Lab, focusing on scalable knowledge-based systems, reasoning in knowledge graphs, and AI integration. His research spans computational logic, database theory, and blockchain applications. Education: PhD in Computer Science (awarded 'sub auspiciis praesidentis rei publicae'), Master's degrees in Computational Intelligence and Informatics Management, and a Bachelor's in Software and Information Engineering. Research Interests: Knowledge graphs (construction, reasoning, scalability), logic-based systems, AI/ML integration with databases, enterprise architecture modeling, and financial knowledge systems. His work emphasizes practical applications like enterprise modeling, sustainable waste management, and regulatory compliance. Grants & Projects: Lead Vienna Science and Technology Fund (WWTF)-funded Knowledge Graph Lab. Involved in projects like 'Knowledge Graph-driven Tour Management' (sustainability), 'SustainGraph' (waste processing), and 'Enterprise Architecture Knowledge Graphs'. Teaching: Offers courses on Knowledge Graphs, Generative AI, Database Systems, and research methodology. Supervises doctoral and master's students in AI, databases, and knowledge representation. Labs/Teams: Knowledge Graph Lab at TU Wien, collaborating with industry on blockchain-based systems, financial AI, and enterprise architecture frameworks.

• Information Systems Engineering
• Computational Logic
• Scalable Artificial Intelligence
• +۸ مورد دیگر

Victor Vianu is a Professor of Computer Science and Engineering at the University of California, San Diego and holds the INRIA International Chair at INRIA-Saclay in Paris. He has maintained continuous faculty status at UC San Diego since 1983 while developing extensive international collaborations, particularly with French research institutions including INRIA, ENST-Paris, ENS-Paris, and the University of Paris. His academic credentials include a Ph.D. in Computer Science from the University of Southern California (1983) and undergraduate studies in Mathematics and Informatics at the University of Bucharest (1974-1977). Professor Vianu's research spans computational logic, database systems and theory, and automatic verification. His work uniquely bridges theoretical foundations with practical applications in XML processing, workflow systems, and data-driven applications. He has made seminal contributions to understanding the theoretical underpinnings of database query languages and their expressive power, particularly in the context of XML technologies and workflow systems. His research demonstrates a consistent trajectory from theoretical computer science to practical database systems applications. His publication record reveals significant contributions to database theory spanning over three decades, with particular emphasis on XML technologies, workflow systems, and formal methods for data-driven applications. His work shows a clear evolution from foundational theoretical work to practical applications in business processes and web technologies. INRIA International Chair (2013) Fellow of the American Association for the Advancement of Science (AAAS) (2013) ACM PODS Alberto O. Mendelzon Test-of-Time Award (2010) Fellow of the Association for Computing Machinery (ACM) (2006) Professor Vianu has held significant leadership roles including Editor-in-Chief of the prestigious Journal of the ACM, numerous program committee chair positions for major database conferences (PODS, ICDT, ASIAN), and General Chair for ACM SIGMOD conferences. He has served on the executive committees of SIGMOD (1998-2000) and PODS (1993-2004), and was a member of the ICDT Council (1997-2007), demonstrating sustained influence in the theoretical database community. His extensive invited talks at major conferences including College de France, ACM PODS, and International Conference on Database Theory highlight his international recognition.

• Computational Logic
• Database Systems
• Database Theory
• +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 Management
• Digital Preservation
• Machine Learning
• +۴ مورد دیگر

Alexander Kaiser serves as Associate Professor and Head of the Department of Knowledge Management at the Vienna University of Economics and Business (WU Wien). With over two decades of academic experience since his appointment in March 2000, he has established himself as a leading figure in knowledge management, organizational learning, and strategic vision development. His position as Head of Department and Deputy Director demonstrates his significant institutional leadership within the university. Dr. Kaiser completed his education at the University of Vienna, where he studied business informatics. He earned his doctorate with distinction from the Vienna University of Economics and Business, followed by his habilitation in Business Administration and Business Informatics in December 1999, which was awarded the prestigious Cardinal Innitzer Promotion Prize and Senator Wilhelm Wilfling Promotion Prize . His academic journey reflects a strong foundation in both business administration and information systems. His research focuses on the intersection of knowledge management, organizational learning, and spiritual dimensions of professional work. Kaiser has pioneered approaches to spiritual knowledge management, exploring how individuals and organizations can develop toward their 'best version' through meaningful knowledge processes. His work on vision development as a knowledge-creating process has significantly contributed to strategic management literature. He investigates how organizations can identify hidden needs, develop sustainable visions, and implement learning processes that incorporate future-oriented thinking, with recent work examining the connection between spirituality, calling, and knowledge management. Over his prolific career, Kaiser has published 91 scholarly works spanning from 1988 to 2025, with a noticeable acceleration in output since 2010. His publication pattern reveals a clear evolution from technical business informatics topics toward more holistic approaches integrating knowledge management with organizational psychology, spirituality, and sustainability. Recent publications (2023-2025) demonstrate his growing focus on wisdom, AI, and the integration of rational and non-rational knowledge in business contexts. Cardinal Innitzer Promotion Prize Senator Wilhelm Wilfling Promotion Prize Beyond his academic work, Professor Kaiser maintains strong practical connections through his role as founder and managing director of WaVe - Center for Growth and Change. His professional training as a systemic coach complements his academic research, creating a unique bridge between theoretical knowledge management frameworks and practical organizational applications. He has developed innovative methodologies like the 'Theory Wave' for sustainable vision development and tools for assessing transversal professional competences that have been implemented in both academic and business settings. As department head, Kaiser leads a research team focused on advancing knowledge management theory while maintaining strong connections to practical applications. The department hosts symposium series that foster interdisciplinary dialogue between academia and practice, reflecting Kaiser's commitment to ensuring knowledge management research remains relevant to real-world organizational challenges.

• Knowledge Management
• Organizational Learning
• Business Informatics
• +۴ مورد دیگر

Dr. Franz-Karl Skala is a Senior Lecturer at the Vienna University of Economics and Business (WU) in the Business Education department, with over 15 years of academic and professional experience in higher education. He has held teaching and research positions at institutions including the University of Graz, University of Applied Sciences Burgenland, and Fachhochschule Wiener Neustadt. Current Senior Lecturer at WU (since 2012) Teaching focus on programming didactics and e-learning Specializes in business informatics didactics and vocational training Research interests center on curriculum development for hybrid education models, digital transformation in business training, and vocational education reform. His recent FLUENT project (2022-2025) develops flexible universal education models for AI-era learning. He has secured multiple Erasmus+ grants for international education initiatives in Central Asia. Scientific awards include four Vienna University of Economics and Business Innovative Teaching Awards (2020, 2019, 2017, 2010), University of Graz teaching excellence recognition (2020), AK Science Prize (2013), and Leopold-Kunschak Science Prize (2013). Developed modular curriculum frameworks Created e-learning platforms for entrepreneurs Conducted comparative studies on vocational vs academic degrees

• Business Education
• Vocational Training
• Didactics of Business Informatics
• +۳ مورد دیگر

Gerti Kappel is a full professor at the Institute of Information Systems Engineering at TU Wien, affiliated with the Business Informatics Group (BIG). Since 2020, she has served as Dean of the Faculty of Informatics at TU Wien, previously holding the role of Dean’s team member responsible for research, diversity, and financial affairs (2016–2019). She previously held a full professorship in computer science (database systems) and led the Department of Information Systems at Johannes Kepler University Linz (1993–2001). Her research focuses on Model Engineering, Web Engineering, and Process Engineering, particularly in cyber-physical production systems. She has co-authored influential works such as UML@Work (2005), UML@Classroom (2015), and Web Engineering (2006). Key projects include leadership roles in Vienna Informatics Living Lab (2018–2019), MPM4CPS (2014–2019), and ARTIST (2012–2015), addressing topics like model versioning, cloud architecture modeling, and inter-organizational systems. Her recent articles explore circular systems engineering, IoT-based simulation environments, and model-driven approaches for time-series analytics and cloud applications. She actively contributes to academic governance, including managing the Office of the Dean (E199-01) and overseeing faculty services. Her work emphasizes bridging theory and practice through collaborative frameworks like ERPEL and TROPIC . Grants: Projects funded by Austrian Research Promotion Agency, European Cooperation in Science and Technology, Vienna Business Agency, and others. Advising: Supervised over 15 graduate theses, including recent works on model-driven techniques for railway planning, debugging frameworks for modeling tools, and cloud-based IDEs. Labs/Teams: Leads research within the Business Informatics Group (BIG) and collaborates with the Vienna Informatics Living Lab for applied systems engineering.

• Model Engineering
• Web Engineering
• Process Engineering
• +۹ مورد دیگر

Christine Bauer is a Professor of Interactive Intelligent Systems at the Department of Artificial Intelligence and Human Interfaces (AIHI), University of Salzburg, Austria. She is also Co-Lead of the interdisciplinary focus area InterMediation. Music—Effect—Analysis at the inter-university organization Wissenschaft & Kunst. Her research lies at the intersection of artificial intelligence, human-computer interaction, and human-centered computing, with a strong emphasis on fairness, context-awareness, and multi-method evaluation in recommender systems. Doctoral degree in Social and Economic Sciences (Business Informatics), 2009, University of Vienna MSc in Business Informatics, 2011, TU Wien Diploma in International Business Administration, 2002, University of Vienna Study of Jazz Saxophone, Konservatorium der Stadt Wien Her research interests center on interactive intelligent systems , particularly recommender systems in music and media, with a human-centered approach. She investigates how technology can align with societal and individual needs, focusing on fairness in algorithms , culture-aware recommendation , and multi-stakeholder evaluation . Her work often integrates interdisciplinary methods and real-world impact. The recent publications highlight a consistent trend in fairness and diversity in music and news recommendation, cross-cultural user behavior , and evaluation frameworks . Her research bridges technical rigor with ethical considerations, particularly in algorithmic bias and artist equity. She has made significant contributions to understanding gender imbalance , cultural granularity , and user conformity in digital music ecosystems. Elise Richter laureate (FWF) 6 best paper awards, 5 nominations Women in RecSys Journal Paper of the Year Award (2023, 2024) 5 awards and 6 recognitions for reviewing excellence Christine Bauer has supervised over 70 theses and taught at 17 institutions worldwide. She is deeply involved in academic service, including editorial roles (AE at TOIS, TORS, JITT), conference organization (RecSys, CHI, CIKM), and mentoring initiatives (WiMIR, LEA, Allyship at CHI). She leads impactful projects such as FairRecKit and SpART: Spotlight on Artists in Recommender Systems , aiming to create more equitable and transparent recommendation technologies. She frequently engages in public outreach through keynotes, media appearances, and policy discussions. She is affiliated with the University of Salzburg as her primary institution and was previously associated with JKU Linz and the University of Klagenfurt. Her labs and research teams focus on interactive intelligent systems , music recommenders , and fair AI , often in collaboration with interdisciplinary partners in arts and social sciences.

• Interactive Intelligent Systems
• Recommender Systems
• Human-Computer Interaction
• +۹ مورد دیگر

Manuel Wimmer is a Full Professor and Head of the Department of Business Informatics – Software Engineering at Johannes Kepler University Linz, Austria. He also serves as the Program Director for the Business Informatics master's program since 2019. His academic leadership extends to representing JKU Linz in the AutomationML society and leading significant research initiatives. Dr. Wimmer received his Ph.D. and Habilitation from TU Wien. His academic journey includes: Research associate at the University of Malaga, Spain Visiting professor at the University of Marburg, Germany Visiting professor at TU Munich, Germany Assistant professor at the Business Informatics Group (BIG), TU Wien, Austria Professor Wimmer's research focuses on Model-Driven Software Engineering and its applications, particularly in the emerging field of Digital Twins . His work bridges theoretical foundations with practical industrial applications, with special emphasis on model transformations, runtime modeling, and the integration of artificial intelligence techniques into model-driven approaches. More recently, he has been exploring the intersection of model-driven engineering with quantum computing, investigating how modeling principles can be applied to quantum software development. His recent publications reveal a strong trend toward Digital Twin engineering, with approximately 40% of his 2023-2025 publications focusing on various aspects of Digital Twin technology. Another significant strand of his work involves the application of AI and machine learning techniques to enhance model-driven engineering processes. The emergence of quantum software engineering as a research direction is also notable in his most recent publications, demonstrating his ability to identify and explore cutting-edge research frontiers. From 2017-2023, Professor Wimmer led the Christian Doppler Laboratory on Model-Integrated Smart Production (CDL-MINT), where he developed engineering approaches for digital twins. He is also the co-author of the influential book "Model-driven Software Engineering in Practice" (2nd edition, 2017). Professor Wimmer is actively involved in the organization of major scientific events including the IEEE International Conference on Quantum Software (QSW) and the International Conference on Engineering Digital Twins (EDTconf), demonstrating his leadership in these emerging research communities. His research has practical applications across various domains including smart cities, industrial automation, tunneling/construction, and quantum computing. The MATISSE project represents a significant multi-partner effort to develop a framework for federated digital twins of industrial systems.

• Model-Driven Software Engineering
• Digital Twins
• Model-Driven Engineering
• +۵ مورد دیگر

Alexander Rind is a full-time Researcher at the University of Applied Sciences St. Poelten , affiliated with the School of Media and Digital Technologies and the Media Computing Research Group . He holds an MSc in Business Informatics from Vienna University of Technology, University of Vienna, and Lund University. Education : 1998-2004 MSc in Business Informatics His research interests span Visual Analytics , Information Visualization , and Human-Computer Interaction , with specialization in time-oriented data analysis , electronic health records visualization , and multimodal analytics . Recent projects focus on integrating sonification with visualization for enhanced data exploration. Key publication trends reveal expertise in temporal data modeling , multimodal analytics , and domain-knowledge integration for healthcare and social work applications. His work includes TimeBench (open-source time-oriented data library) and tools like easyBiograph / easyNWK for social diagnostics. He actively contributes to scientific communities as program committee member for IEEE VIS, EuroVis, and journals like TVCG, while developing visual analytics systems for clinical gait analysis, media transparency, and industrial manufacturing.

• Visual Analytics
• Information Visualization
• Human-Computer Interaction
• +۵ مورد دیگر

Schahram Dustdar is Full Professor of Computer Science (Informatics) at Vienna University of Technology (TU Wien) and Head of the Distributed Systems Group. He held previous academic roles as Honorary Professor of Information Systems at the University of Groningen (2004-2010) and Associate Professor at TU Wien (2003-2005). Education: M.Sc. (1990) and PhD (1992) in Business Informatics from the University of Linz, Austria; Habilitation (2003) in Computer Science at TU Wien. His research focuses on Distributed systems , Service-oriented computing , Cloud computing , and Internet technologies , with significant contributions to software engineering for collaborative processes and scalable computing environments. He has secured over €15M in competitive research funding, including a joint cloud computing lab with Pacific Controls. 2016 IEEE Fellow 2012 IBM Faculty Award 2012 Best Paper Award at CAiSE 2009 ACM Distinguished Scientist Dustdar has led editorial roles (e.g., Computing (Springer) , IEEE Internet Computing ) and served on steering committees for major conferences like ICSOC and BPM. He co-founded Caramba Labs Software AG, recognized internationally for innovative team collaboration software.

• Distributed systems
• Service-oriented computing
• Cloud computing
• +۳ مورد دیگر

Johann Eder is a full professor for Information and Communication Systems at the Department of Informatics Systems, University of Klagenfurt, Austria, and currently serves as Deputy Head of Department. He previously held positions at the Universities of Linz, Hamburg, Vienna, and Klagenfurt, and was Vice President of the Austrian Science Funds (FWF) from 2005-2013. He was also a visiting scholar at AT&T Shannon Labs, NJ. Educational Background: Diplom-Ingenieur, University of Linz Doctor of Technical Sciences, University of Linz Johann Eder's research focuses on databases, information systems, and data management for medical research, including temporal information modeling, process evolution, and workflow systems. His work spans temporal data warehousing, exception handling in workflows, and application interoperability, with a particular emphasis on privacy and quality in medical data lakes and federated biobanks. Recent publications highlight trends in temporal reasoning for business processes, medical data quality, and service composition optimization. His editorial roles include positions at ACM Transactions on Database Systems and IEEE Transactions on Knowledge and Data Engineering . He leads the Information and Communication Systems Research Group at AAU, contributing to projects like federated biobank integration and blockchain-based smart contracts.

• Databases
• Information Systems
• Data Management
• +۹ مورد دیگر

Stephan Schlögl is a Full Professor at MCI - The Entrepreneurial School in Austria, leading research and teaching in Human-Computer Interaction (HCI), Artificial Intelligence (AI), and Information Systems. He holds editorial roles at journals like the Springer Discover Artificial Intelligence Journal and MDPI Multimodal Technologies and Interaction Journal. His work spans over two decades, with key roles including Postdoctoral Research Fellow at Télécom ParisTech (2012–2013) and PhD Researcher at Trinity College Dublin (2008–2012). Schlögl’s research focuses on HCI, AI-driven conversational systems, and assistive technologies for aging populations. Education includes a PhD in Computer Science from Trinity College Dublin, an MSc in Human-Computer Interaction from University College London, and a Mag.(FH) in Applied Informatics & Management from MCI. His teaching spans Software Engineering, Business Intelligence, and Research Methods. Research interests emphasize natural language interfaces, AI ethics, and technology’s societal impact. Notable projects include the EU-funded EMPATHIC initiative (2017–2021), developing an empathic virtual coach for elderly care, and the CRYSTAL project (2024–present) on conversational systems for emotional support. Schlögl has supervised numerous theses on AI applications, chatbots, and UX design. He co-organized major conferences like CUI (Conversational User Interfaces) and received awards for best papers in AI-HCI and CHIRA. His work bridges academia and industry, addressing challenges in AI adoption, digital well-being, and ethical technology design.

• Human-Computer Interaction (HCI)
• Artificial Intelligence
• Interaction Design
• +۶ مورد دیگر

Zoran Obradovic holds the prestigious L.H. Carnell Professorship of Data Analytics at Temple University where he serves as Professor in the Computer and Information Sciences Department and the Statistics Department. He also directs the Center for Data Analytics and Biomedical Informatics and maintains secondary appointments at Temple's Fox School of Business. Internationally, he serves as Research Professor at The Mathematical Institute of the Serbian Academy of Sciences and Arts, and as Visiting Professor at both the School of Medicine and School of Management at the University of Belgrade. His research spans multiple cutting-edge domains of data science: Bioinformatics and protein disorder prediction Healthcare informatics and clinical decision support systems Machine learning for complex networks and big data Spatial and temporal data analytics Applications in healthcare management, social networks, and earth science Dr. Obradovic pioneered research on intrinsically disordered proteins, earning multiple CASP awards. His work addresses challenges related to heterogeneous, spatial, and temporal data analytics with applications across healthcare, power systems, earth science, and social sciences. His research has been funded by prestigious organizations including NIH, NSF, DARPA, DOE, and industry partners. With approximately 450 publications and an H-index of 68 (over 33,000 citations), his scholarly impact is substantial. He serves as editor-in-chief of the Big Data journal and chairs the SIAM Data Mining conference steering committee, reflecting his leadership in the field. Scientific Recognition Elected Member of Academia Europaea (2015) Foreign Member of Serbian Academy of Sciences and Arts (2015) Asia-Pacific Artificial Intelligence Association Fellow (2021) Multiple best paper awards at international conferences Temple University's President's Outstanding Faculty Research Award (2009) Three consecutive CASP awards for protein structure prediction (2002-2006) Dr. Obradovic has mentored approximately 50 postdoctoral fellows and Ph.D. students, many of whom now hold positions at leading academic institutions and tech companies including Amazon, Facebook, IBM, Microsoft, and Uber. He has served on editorial boards for 13 journals and organized numerous international conferences in data mining and bioinformatics. His Center for Data Analytics and Biomedical Informatics develops advanced data science methods addressing real-world challenges in healthcare, science, engineering, and business applications, with active recruitment for Ph.D. students and postdoctoral researchers.

• Bioinformatics
• Healthcare informatics
• Data mining
• +۱۲ مورد دیگر

Thomas Gärtner is a Professor at the Institute of Logic and Computation within the Faculty of Informatics at Vienna University of Technology, leading the Machine Learning research group (E194-06). His work bridges theoretical machine learning with practical applications in chemistry, biology, and network analysis. His primary research focuses on graph neural networks (GNNs) and geometric deep learning, with significant contributions to GNN expressivity, graph transformations, and kernel methods for structured data. He explores fundamental questions about the limitations of message-passing architectures while developing practical enhancements like path-based extensions and expectation-complete representations. His chemical informatics work applies these techniques to binding affinity prediction, reaction classification, and solvent selection, demonstrating real-world impact in computational chemistry. Analysis of his 15 most recent publications (2023-2025) reveals three dominant research thrusts: theoretical GNN advancements (35% of articles), chemical informatics applications (40%), and novel learning frameworks (25%). The theoretical work increasingly addresses expressivity limitations through graph transformations and path-based approaches, while chemical applications show growing sophistication in molecular representation. Recent publications also indicate expanding interest in foundation models for graphs and robustness verification. He actively supervises master's students including Fabian Traxler (binding affinity prediction), Maximilian Plattner (SGD optimization), Fabian Jogl (graph transformations), and Thomas Schmied (reinforcement learning). His research is conducted through the Network Lab at TU Wien, where he serves as Principal Investigator for the Structured Data Learning with Generalized Similarities project.

• Machine Learning
• Graph Neural Networks
• Geometric Deep Learning
• +۳ مورد دیگر

Thomas Neumayr is a researcher at Johannes Kepler University Linz's Research Center Hagenberg, specializing in Business Informatics and active in Human-Computer Interaction, Artificial Intelligence, and Smart Production. He contributes to projects like HYCOS and COIN, focusing on hybrid collaboration and AI-enhanced analysis. PhD in Business Informatics (2023, Johannes Kepler University Linz) His research explores Human-Computer Interaction , Collaborative Spaces , AI Creativity , and Smart Collaboration . Recent publications analyze real-time AI adaptability, human-AI autonomy, and personalized interaction frameworks. Scientific recognition includes Best Paper Awards at ACM CSCW 2018 and HUCAPP 2018, plus the Microsoft Productivity Research Grant .

• Human-Computer Interaction
• Artificial Intelligence
• Collaborative Workspaces
• +۳ مورد دیگر