جستجوی استاد راهنمای دانشگاهی

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.

• Art Historical Canonization Processes
• Art and Theory of the Italian Renaissance
• Art and Theory of Classical Modernism
• +۵ مورد دیگر

Teresa Kamencek is a research associate (pre-doctoral researcher) at the University of Vienna's Faculty of Historical and Cultural Studies, Institute of Art History, where she is pursuing her PhD in the FWF-funded project 'ArtVis: Dynamic Network Perspectives on Digital Art History' in collaboration with the Vienna University of Technology. Her academic background includes: PhD Candidate since January 2023 Master of Arts in Art History from University of Vienna (November 2022) Bachelor of Art History from University of Vienna (July 2020) Dr. Kamencek's research innovatively bridges traditional art historical scholarship with digital methodologies. Her work examines art historical canonization processes through network analysis, with particular focus on the Italian Renaissance, Classical Modernism, and the history of abstraction. Her doctoral project investigates the temporal and geographical dynamics of modern artist groups, representing a cutting-edge approach to understanding artistic networks and influences. Her scholarly output demonstrates a strong trajectory in digital art history methodologies, with conference presentations on visual analytics of network centrality and temporal characterization of artist exhibition activity in 2023. Dr. Kamencek's significant contributions have been recognized through competitive awards: 2022 Scholarship from Baumgart Foundation 2023 Sir Ernst Gombrich Young Talent Award from Art Historical Society 2023 Emanuel and Sofie Fohn Scholarship With four years of teaching experience as a Tutor and research assistant roles at the Institute of Art History, Dr. Kamencek brings both pedagogical expertise and research acumen to her academic work. Her affiliation with the Laboratory for Empirical Image Science (CReA) positions her at the forefront of methodological innovation in art historical research.

Raphael Rosenbergمشاهده پروفایل

استاد

• Art History Methodology
• Cognitive Approaches to Art History
• Perception of Art
• +۷ مورد دیگر

Raphael Rosenberg serves as Professor and Deputy Head of the Department of Art History at the University of Vienna within the Faculty of Historical and Cultural Studies. His academic profile demonstrates a unique blend of traditional art historical expertise with cutting-edge interdisciplinary approaches, particularly in applying cognitive science methodologies to the study of art perception. Rosenberg maintains an active teaching schedule covering core art history methodology, thesis supervision, and specialized courses on avant-garde movements and art networks. Rosenberg's research interests focus on the intersection of art history with cognitive science and digital humanities. He has pioneered the application of eye-tracking technology to investigate how viewers engage with artworks, challenging traditional assumptions about visual perception in art. His work spans from Renaissance studies (particularly Michelangelo) to early 20th century avant-garde movements, with a special emphasis on the role of exhibitions as platforms for artistic innovation. The Database of Modern Exhibitions (DoME) project represents a significant contribution to documenting European painting and drawing exhibitions between 1905-1915. Analysis of Rosenberg's recent publications reveals a clear trajectory toward increasingly interdisciplinary research that bridges art historical scholarship with empirical methods from cognitive science. His work consistently demonstrates how digital tools and empirical methodologies can enhance traditional art historical inquiry, particularly in understanding viewer engagement with artworks. The recurring themes across his publications include the cognitive processes involved in art perception, the historical development of exhibition practices, and methodological innovations in art historical research. Rosenberg maintains an extensive collaborative network across disciplines, frequently working with psychologists, computer scientists, and other art historians. His research group appears to focus on empirical approaches to art history, particularly through the use of eye-tracking technology in museum settings. The Database of Modern Exhibitions project represents a major collaborative effort to document exhibition practices during a crucial period of artistic innovation in the early 20th century.

Stefan Bachmannمشاهده پروفایل

مدرس ارشد

• Experimental Drawing
• Visual Arts
• Architecture
• +۵ مورد دیگر

Stefan Bachmann is a visual artist and Senior Lecturer at the Mozarteum University Salzburg, where he has taught in the Department of Scenography since 2000. His academic appointment focuses on drawing techniques including nude drawing, freehand drawing, architectural drawing, and digital image processing. As a Dipl.-Ing. (Diplom-Ingenieur), he brings architectural training to his artistic practice and teaching methodology. Bachmann's research interests center on experimental drawing as an expanded practice that bridges figuration, improvisation, and abstraction. He views drawing as a mental space connecting observation, memory, association, and spatial perception. His work explores the dialogue between the expected and the unforeseen, treating paper as a stage for unlimited creative possibilities. He emphasizes the importance of looking closely beyond preconceptions, as reflected in his teaching philosophy: 'Schau genau hin! Du meinst zu wissen, wie es aussieht, und zeichnest, was du meinst zu kennen. Aber schau noch mal genau hin, es sieht anders aus, als du denkst.' Bachmann's artistic publications reveal consistent exploration of experimental drawing techniques across multiple contexts. His 2022 publication AKT/NUDE represents a significant contribution to contemporary drawing practice, featuring 653 illustrations across 432 pages. His work shows evolution from architectural representation toward more abstract and experimental forms, while maintaining strong connections to spatial perception and bodily experience. Recent projects like 'Game of the Living' (2023) and 'Windstriche' (2024) demonstrate continued innovation in drawing methodology. Förderpreis des deutschen Stahlbaues (German Steel Construction Award) Georg Moller Prize Awards from Kulturkreis der deutschen Wirtschaft BDI Awards from BDA (Bund Deutscher Architekten) Awards from University of Stuttgart Bachmann's teaching extends beyond the university through numerous workshops at private art academies across Germany and Austria. His drawing excursions to locations including Éveux (La Tourette Monastery), Ronchamp, Bologna, Trieste, Karlovy Vary, Bratislava, and Ljubljana demonstrate his commitment to experiential learning. The testimonials from students and workshop participants consistently highlight his ability to create supportive environments that foster creative freedom, with comments noting how he 'finds the sensitive balance between knowledge transfer and freedom' while providing 'gentle persistence' to help students break through creative barriers. His labs and creative spaces function as experimental zones where students explore the boundaries of traditional drawing through mixed media approaches and conceptual frameworks.