جستجوی استاد راهنمای دانشگاهی

Song Guo is a Full Professor in the Department of Computer Science and Engineering at The Hong Kong University of Science and Technology (HKUST). He previously held academic positions at The Hong Kong Polytechnic University (2016-2023), The University of Aizu (2007-2016), and the University of Northern British Columbia (2006). He also holds a Changjiang Chair Professorship at Wuhan University, awarded by China's Ministry of Education. Current Affiliation: HKUST Previous Affiliations: The Hong Kong Polytechnic University, The University of Aizu, University of Northern British Columbia Research Interests His work focuses on advancing edge AI architectures, 6G wireless systems, big data analytics, machine learning, mobile computing, and distributed systems. He has pioneered novel frameworks for cloud-edge computing and resilient systems over IoT and wearable devices. Scientific Contributions & Awards Edward J. McCluskey Technical Achievement Award (2024) Gold Medal, Geneva Inventions Expo (2023 & 2024) Highly Cited Researcher (Clarivate, 2020-2023) Elected Member of Academia Europaea (2022) Changjiang Scholar Award (2019) IEEE Fellow (2020) Academic Leadership He serves as Editor-in-Chief of IEEE Open Journal of the Computer Society and former Chair of IEEE ComSoc Space and Satellite Communications Technical Committee. He has chaired over 100 IEEE/ACM conferences and delivered 100+ keynotes.

• Edge AI
• 6G Technology
• Big Data
• +۸ مورد دیگر

Thomas Lampoltshammer is Professor for Information and Communication Technology at the University for Continuing Education Krems. He serves as Deputy of Department and PhD Coordinator in the Department for E-Governance and Administration. His current research focuses on digital transformation, artificial intelligence in public services, and computational social sciences with applications in smart cities and evidence-based policy making. Current projects include: Digital Passport Austria and Beyond DPP4Electronics GeoSemantic and Crowdsourced-enhanced Virtual Reality for Situational Awareness Intelligent and Sovereign Use of Data in Timber Industry Recent publications address topics like: Mobile government services across borders Digital product passports for circular economy AI ethics in disaster response Urban digital twins for sustainable development He has presented key lectures on AI in public sector, digital twins, and data governance at international conferences like IFIP EGOV and ITDRR.

• Digital Transformation
• E-Governance
• Artificial Intelligence in Public Sector
• +۶ مورد دیگر

Judith Friedl-Knirsch is a researcher at the University of Applied Sciences Hagenberg's College of Engineering, specializing in Knowledge Media and Engineering. With over 25 peer-reviewed publications and an h-index of 6, her work focuses on immersive analytics, augmented reality, and visual data analysis methodologies. Active in cross-virtuality production data analysis (X-PRO project 2020-2025) Pioneer in asymmetric display environments for collaborative visualization Recipient of ACM CSCW 2018 Best Paper Award Research Interests: Her work bridges the reality-virtuality continuum through innovative visualization techniques, including: Immersive analytics user evaluation frameworks Desktop XR integration strategies Replica-enhanced environment transitions Design principles for spatial data placement Scientific Recognition: Recipient of the ACM CSCW 2018 Best Paper Award for collaborative visualization research.

• Augmented Reality
• Virtual Reality
• Visual Analytics
• +۴ مورد دیگر

Lisa Perkhofer is an Assistant Professor at the University of Applied Sciences Upper Austria, Faculty for Business and Management, with a focus on data visualization, management reporting, and accounting systems. She holds a PhD from Vienna University of Economics and Business (2021), and master's and bachelor's degrees in Controlling and Financial Management from Upper Austria University of Applied Sciences. Her research explores interactive visualizations for big data analytics, cognitive load in information design, and sustainable reporting practices. Key research projects include FinCoM (Financial Condition Monitoring), DDI (Data-Driven Insights via Dashboarding), and USIVIS (User-Centered Interactive Visualization). She has received awards such as the Joung Researcher Award (2022) and Dr. Hermann Zemlicka Award. Her teaching includes courses on Financial Engineering, Management Reporting, and Business Analytics. Education: PhD in Social and Economic Sciences, Vienna University of Economics and Business (2014–2021) M.A. in Controlling, University of Applied Sciences Upper Austria (2011–2013) B.A. in Controlling, University of Applied Sciences Upper Austria (2008–2011) Research Interests: Data visualization techniques, dashboard design, cognitive load theory, sustainability reporting, and big data applications in accounting. Her publications span peer-reviewed journals like Journal of Management Control and Clinical Chemistry and Laboratory Medicine , with a focus on visualization efficacy and decision-support systems. She has supervised numerous bachelor and master theses on topics like AI in taxation, CRM system adoption, and sustainability metrics. Lisa contributes to academic communities through conference presentations (e.g., CARF, FRAP) and co-authored textbooks such as Grundlagen der finanziellen Unternehmensführung . Her work bridges academic research and practical business challenges, emphasizing user-centered design and data-driven decision-making.

• Data Visualization
• Big Data
• Management Reporting
• +۶ مورد دیگر

Christian Ploder is a Lecturer at MCI Management Center Innsbruck, focusing on Information Systems, ERP systems, and e-business. He holds a Dr. in Information Systems from the University of Innsbruck and has over 15 years of professional experience across academia and industry. Education: PhD in Information Systems, University of Innsbruck (2005-2009) Mag. in Information Systems, University of Innsbruck (2000-2005) Research interests include Quality Management Systems, Blockchain in healthcare, IoT applications in education, and gamification in learning. His work bridges theoretical frameworks with practical implementations in ERP systems, data analytics, and digital transformation. Recent articles explore blockchain for electronic health records, AR in engineering education, and machine learning for manufacturing cost estimation. These contributions highlight interdisciplinary approaches combining IT systems with organizational and educational contexts. Awarded for contributions to knowledge management frameworks and ERP integration strategies. Advised over 50 students, focusing on topics like RPA post-implementation, AR in classrooms, and cybersecurity in SMEs. Led projects on digital twin simulations, cloud-based ERP systems, and enterprise risk management. Active in SAP Academic Community and IEEE conferences, emphasizing practical teaching tools for emerging technologies.

• Information Systems
• Quality Management
• Blockchain Technology
• +۷ مورد دیگر

Johanna Schmidt is a Lecturer at the Vienna University of Technology (TU Wien) and the Head of the Visual Analytics Research Group at VRVis Zentrum für Virtual Reality und Visualisierung Forschungs-GmbH. She holds a PhD in data visualization from TU Wien (2016) and has extensive experience in project management and industry collaboration. Her primary research focuses on visual analytics for large datasets, particularly time-series data from industrial and energy sectors, as well as immersive analytics for decision support. She leads the Visual Analytics group at VRVis, a COMET research center, and has contributed to projects such as ArtVis, GuidedVA, and KnoVA. Her work integrates human perception studies with visualization techniques to enhance data interpretation. She has been recognized as the FEMtech Expert of the Month (2021) for promoting women in technology. Her academic roles include teaching at TU Wien and the Salzburg University of Applied Sciences. Key research interests span data visualization literacy, exploratory data analysis, and the application of visual methods in healthcare and energy sectors. Notable collaborations include developing tools like Visplore for industrial data analysis and advancing immersive analytics for hydropower turbine lifecycle predictions. Her work bridges academia and industry, emphasizing practical solutions for complex data challenges.

• Data Visualization
• Visual Analytics
• Time Series Analysis
• +۳ مورد دیگر

Andreas Holzinger leads the Holzinger Group (HCAI, Human-Centered AI Lab) at the Institute for Medical Informatics/Statistics, Medical University Graz, and holds a venia docendi at TU Graz. He serves as consultant for multiple governments and scientific organizations and participates in the advisory boards of national AI strategies. PhD in Cognitive Science (Graz University, 1998) Habilitation in Applied Computer Science (TU Graz, 2003) His research focuses on Explainable AI , Interactive Machine Learning , and Human-in-the-Loop approaches within Health Informatics , combining Human-Computer Interaction and Knowledge Discovery . He founded the Expert Network HCI-KDD and organizes the IFIP Cross-Domain Conference CD-MAKE . His recent publications emphasize human-centric AI , medical data visualization , and interactive knowledge discovery , particularly in biomedical and clinical domains. He has contributed to gamification approaches in education technology and virtual patient applications. 2018 - Top 10 AI expert in Austria (IFIP WCC) 2018 - Elected Austrian Representative to IFIP TC 12 2017 - Invited Keynote at DATA 2017 2016 - Invited Keynote at KES Conference Andreas has participated in 30+ multinational R&D projects (€6M+ budget), published 300+ works (11k+ citations, h-index 48), and actively promotes cross-domain collaboration between AI and biomedical research.

• Explainable AI
• Interpretable machine learning
• Health informatics
• +۳ 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.

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

David Philip Kreil is an Associate Professor at the Institute of Molecular Biotechnology within the Department of Biotechnology and Food Science at the University of Natural Resources and Life Sciences, Vienna (BOKU) . He holds a joint appointment as Chair of Bioinformatics at the University of Warwick (2012-2014) and has held research positions at the European Bioinformatics Institute (EBI) and the University of Cambridge . His work bridges computational biology, transcriptomics, and plant-nematode interactions. 2012-2014: Chair of Bioinformatics, University of Warwick 2005: WWTF Vienna Science Chair at BOKU 2001-2004: MRC Research Fellow, University of Cambridge 1997-2001: EMBL PhD Programme, EBI Kreil's research focuses on transcriptomic analysis of plant-pathogen interactions (e.g., Fusarium resistance in wheat, nematode-induced syncytia) and computational methods for microarray calibration, data normalization, and statistical modeling. He has applied machine learning to weather forecasting and biomedical data. Scientific Awards : Research Fellow, Darwin College, University of Cambridge (2002-2005) His 15 most recent articles emphasize bioinformatics tools, plant immunity, and interdisciplinary applications of machine learning in biology and climate science. He has supervised theses on wheat transcriptomics and nematode-induced gene expression.

• Bioinformatics
• Transcriptomics
• Gene Expression Analysis
• +۴ مورد دیگر

Associate Professor Roberto Viviani, PhD is affiliated with the University of Innsbruck , where he leads neuroimaging research in clinical psychology. His work focuses on bridging psychopathology with brain function networks through functional neuroimaging, genetic variation, and statistical modeling. Research Interests : Functional neuroimaging of affective processes and social cognition Genetic polymorphisms in drug-metabolizing enzymes and their neurobiological effects Pharmacogenetics in polypharmacy and affective disorders Statistical analysis of neuroimaging data Development of tools like PHATE for high-dimensional data visualization Methodological Contributions : Advocates for multimodal imaging to enhance brain structure-function characterization Active in validating neuroimaging inference through advanced analytical techniques Grants : Recipient of a NEURON-Eranet grant for studying genetic influences on brain imaging endophenotypes. Collaborations : Engages in interdisciplinary projects, including AI-driven semantic similarity assessments and clinical applications of neuroimaging in depression, borderline personality disorder, and Parkinson's disease.

• Clinical Neuroscience
• Functional Neuroimaging
• Emotion and Social Cognition
• +۳ مورد دیگر

Gabriele Kotsis is a Full Professor at the Institute of Telecooperation, Johannes Kepler University Linz, with extensive contributions to Artificial Intelligence research. Her institutional presence spans multiple departments through interdisciplinary projects while maintaining her primary affiliation with JKU's engineering-focused research units. Her research expertise encompasses: Natural Language Processing and Neural Machine Translation systems Reinforcement Learning applications for Smart Grid optimization Mobile Computing and Multimedia Intelligence frameworks Big Data Analytics and Database Systems innovation Human-centered AI development methodologies Recent publications (2024-2025) reveal a strategic focus on practical AI implementations addressing multilingual communication barriers and energy efficiency challenges. Her work consistently bridges theoretical AI advances with real-world applications across multiple domains. Professor Kotsis maintains an active supervision record with thesis guidance and leads multiple funded research initiatives. Her current portfolio includes: 'Enhancing Neural Machine Translation' project (2025-2026) for Southeast Asian languages 'INTES' regulatory compliance ecosystem (2023-2026) 'Human-centered Artificial Intelligence' initiative (2022-2026) Through her leadership in international conferences (iiWAS, MoMM, DEXA) and editorial roles for major proceedings, she maintains significant influence in the global computer science research community while advancing JKU's research profile.

• Artificial Intelligence
• Natural Language Processing
• Machine Learning
• +۶ مورد دیگر