جست‌وجوی استاد و پژوهشگر

• Visual Analytics
• Information Visualization
• Human-Computer Interaction
• +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.

• Data Visualization
• Cybersecurity
• Industry 4.0
• +۴ مورد دیگر

FH-Prof. Dr. Markus Wagner is a full-time Professor at St. Pölten University of Applied Sciences, specializing in Industry 4.0, Data Visualization, and Cybersecurity. He holds a Dr. techn. from TU Wien (2017), an MSc in Game Engineering and Simulation from Technikum Wien (2013), and a BSc in Industrial Simulations from FH St. Pölten (2011). He leads the Josef Ressel Center for Knowledge-Assisted Visual Analytics for Industrial Manufacturing Data and serves as the Continuing Education Coordinator for Media and Digital Technologies. His roles include course leadership in programs like Agricultural Management and Technology, Data Intelligence, and UX Development. Research focuses on Visual Analytics , Cybersecurity , and Human-Computer Interaction , with notable contributions to knowledge-assisted systems for malware analysis, industrial data visualization, and second-screen applications. Projects include the Industrial Data Lab , SENSITRACK , and KAVA-Time . He is a member of the University’s board (2023–2026) and contributes to military ICT expertise at the BMLV. Key projects include developing tools for air traffic control visualization, privacy-aware IoT systems, and virtual reality driving simulations. His work bridges academic research with industrial applications, emphasizing user-centered design and cross-platform solutions.

• Visual Analytics
• Human-Computer Interaction (HCI)
• Information Visualization
• +۴ مورد دیگر

Wolfgang Aigner is a Professor at TU Wien's Faculty of Informatics, affiliated with the Institute of Visual Computing and Human-Centered Technology. His work focuses on Visual Analytics, Human-Computer Interaction (HCI), and Information Visualization. He leads projects like KAVA-Time and HypoVis, emphasizing time-oriented data analysis and user-centered design. Education: Holds a Dr.techn. (PhD) and Privatdoz. (Privatdozent) in Computer Science. Research Interests: Includes visualization onboarding methods, temporal data analysis, knowledge-assisted VA, and interactive systems for medical and enterprise data. Notable contributions include TimeBench and Radial Sets frameworks. Awards: Honored with IEEE VAST 2012 Mention, Karl Ritter von Ghega Awards (2010, 2008), and multiple Sparkling Science grants. Courses Taught: Bachelor Thesis, Information Visualization, Project courses in Computer Science, Visual Computing, and Medical Informatics. Projects: Active in EU-funded initiatives like ArtVis, DoRIAH, and VIENA (Visual Enterprise Network Analytics). Supervises PhD students in onboarding methods and VA applications. Labs: Involved in the Visual Computing lab, focusing on HCI and interactive visual systems.

• Information Visualization
• Visual Analytics
• Time-Oriented Data Analysis
• +۵ مورد دیگر

Wolfgang Aigner is a Professor at TU Wien's Department of Visual Analytics, part of the Faculty of Computer Science. His main affiliation is with the Visual Analytics Research Department (E193-07). He focuses on advancing information visualization, time-oriented data representation, and knowledge-assisted visual analytics. His work emphasizes user onboarding methods for unfamiliar visualizations, integrating explicit domain knowledge into analytic workflows, and developing systems for malware analysis and healthcare informatics. Key research areas include: Design of intuitive visualization onboarding systems Temporal data visualization and pattern detection Integration of explicit knowledge in visual analytics Malware behavior visualization and forensic analysis Healthcare data exploration focusing on temporal patient trajectories Notable contributions include the KAMAS malware analysis system, task cube conceptual framework for visualization design evaluation, and methodologies for visually guided time series imputation. He has supervised 14+ graduate theses exploring topics like glyph editors, temporal data visualization, and bias detection in language models. Recent work emphasizes educational theories in visualization onboarding, with comparative studies on user guidance effectiveness and system scaffolding approaches. His research bridges cognitive science principles with practical visual analytics tools for domains like cybersecurity and healthcare.

• Cybersecurity
• Malware Analysis
• Digital Forensics
• +۳ مورد دیگر

Robert Luh is a Professor at the University of Applied Sciences St. Pölten in the Department of Computer Science and Security . He serves as the Academic Director for the IT Security (BA) program and participates in various cybersecurity research initiatives through the Institute of IT Security Research. BSc in IT Security (2008-2011) Master of Science in Information Security (2011-2013) PhD in Computer Science from De Montfort University (2015-2019) His research focuses on cybersecurity education , malware analysis , and digital forensics , combining game theory with threat intelligence to develop innovative security training solutions. He has created the PenQuest cyber defense game series and contributed to NTFS timestamp forensic analysis. His work explores anomaly detection in system processes, malware classification through behavioral analysis, and visualization techniques for security applications. Recent publications address cybersecurity awareness programs and game theoretic models for cyber threats.

Wolfgang Aignerمشاهده پروفایل

استاد

• Information Visualization
• Visual Analytics
• Human-Computer Interaction
• +۳ مورد دیگر

Wolfgang Aigner is a Professor and Deputy Head of the Faculty of Engineering and Business at the University of Applied Sciences St. Pölten. He leads the Institute of Creative Media Technologies and is affiliated with the Department of Media and Digital Technologies. His expertise spans Information Visualization, Visual Analytics, and Human-Computer Interaction, with a focus on time-oriented data. He holds a PhD from TU Wien and a Habilitation in Practical Computer Science. Education : PhD (Dr. techn.) in Computer Science, TU Wien (2006) Habilitation (Priv.-Doz.), TU Wien (2013) MSc (Dipl.-Ing.) in Computer Science, Johannes Kepler University Linz and TU Wien (1997-2003) Research : Aigner's work emphasizes visual analytics for time-series data and data journalism. Key projects include VALiD (Visual Analytics in Data-Driven Journalism) and VisOnFire (workflow visualization). He authored over 125 peer-reviewed articles and the book Visualization of Time-Oriented Data (Springer, 2011). Projects & Labs : Active in initiatives like KAVA-Time, IoT4LAC, and Trust AI. He leads research groups in Media Computing, focusing on areas like Data Science, Health Informatics, and Machine Learning.

• Machine Learning
• Image Processing
• Pattern Recognition
• +۱ مورد دیگر

Muntaha Sakeena is a Junior Researcher in the Media Computing Research Group at the Institute of Creative\Media/Technologies, Department of Media and Digital Technologies, St. Pölten University of Applied Sciences (FHSTP) in Austria. She has held this position since 2017 and is currently on leave. Her educational background includes a Master's in Computer Engineering from NUST, Pakistan (2016) and a Bachelor's in Computer System Engineering from NFCIET, Pakistan (2012). Her research focuses on machine learning, image processing, pattern recognition, and computer vision applications across diverse domains including real estate analysis, environmental monitoring, medical imaging, and cybersecurity. She has contributed to projects such as: IMREA (Intelligent Multimodal Real Estate Assessment) Active deep learning for object detection Scribe ID AI InfraBase (Automatic Building Footprint Segmentation) ImmoAge (Visual Age Prediction of Real Estate) Her publications demonstrate consistent focus on computer vision applications, with recent work expanding into digital heritage preservation and environmental disaster response. Research trends show progression from medical imaging (2017-2018) toward geospatial and architectural analysis (2019-2023), utilizing deep learning methods like CNNs and level sets.

Sakeena Muntahaمشاهده پروفایل

پژوهشگر

• Machine Learning
• Computer Vision
• Image Processing
• +۳ مورد دیگر

Sakeena Muntaha serves as a Junior Researcher at the University of Applied Sciences St. Pölten, affiliated with the Institute of Creative\Media/Technologies and the Department of Media and Digital Technologies since 2017. Currently on leave, she contributes to the institution's research mission through interdisciplinary projects spanning computer vision and applied machine learning. Her academic foundation includes a Master's degree in Computer Engineering from the National University of Sciences and Technology (NUST), Pakistan (2016) and a Bachelor's degree in Computer System Engineering from the NFC Institute of Engineering and Technology (NFCIET), Pakistan (2012). These qualifications underpin her technical expertise in visual computing systems. Dr. Muntaha's research program centers on machine learning and computer vision with dual application tracks: medical diagnostics (skin lesion segmentation, dermoscopy analysis) and environmental/urban systems (building footprint extraction, flood monitoring, real estate analysis). Her methodological approach integrates deep learning architectures with classical image processing techniques like level sets and Gabor filters, demonstrating versatility across domains from cultural heritage preservation to cybersecurity. Recent work shows increasing focus on robustness evaluation and real-world deployment challenges in vision systems. Analysis of her 15 most recent publications reveals strong thematic continuity in computer vision applications, with growing sophistication in handling real-world data constraints. Early work focused on medical imaging and malware detection, while recent publications emphasize urban infrastructure analysis and environmental monitoring, reflecting strategic alignment with societal challenges. The consistent use of deep learning frameworks across diverse domains highlights her technical agility. As an active member of the Media Computing Research Group, she contributes to projects including IMREA (Intelligent Multimodal Real Estate Assessment), Scribe ID AI (cultural heritage analysis), and ImmBild (location assessment via computer vision). Her collaborative research involves partnerships with institutions across Austria and Pakistan, though specific grant details and advising activities are not documented in available sources.

• Cybersecurity
• Data Protection
• Security Requirements Engineering
• +۳ مورد دیگر

Nicola Zannone serves as Associate Professor and Chair of the Data Protection research group within the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e). He holds a PhD in Computer Science from the University of Trento (2007), where his dissertation focused on security requirements engineering during a research visit to the Center for ... Research Focus: His work centers on cybersecurity with emphasis on data protection, phishing defense mechanisms, and access control systems. Recent investigations explore emerging threats like quishing and LLM-generated phishing attacks, autonomous navigation security, and industrial control system vulnerabilities. His research uniquely bridges technical security solutions with human behavioral factors in organizational contexts. Publication Trends: Between 2024-2025, Zannone's output demonstrates growing attention to AI-powered threats and automated vulnerability mitigation. His systematic reviews and empirical studies consistently address practical security challenges in critical infrastructure and software supply chains, reflecting industry relevance through collaborations with security practitioners. Leadership Roles: As Chief Editor for Computer Security (Frontiers in Computer Science) and Associate Editor for Cybersecurity and Privacy (Frontiers in Big Data), he shapes discourse in security research. His editorial work on topics like "Generative AI for Cybersecurity" highlights forward-looking engagement with evolving threat landscapes.