Find Academic Supervisors

Lorella Marina GaspariniView profile

Professor

• Visual Communication Design
• Editorial Graphics
• Performative Techniques for Visual Arts
• +5 more

Lorella Marina Gasparini is a Professor at ABABO's School of Design, specializing in Visual Communication Design. She teaches three key courses: Elements of Editorial Graphics for Comics and Illustration students, Visual Communication Design Methodology, and Performative Techniques for the Visual Arts for Fashion Design students. Her academic work bridges graphic design, fashion, and performance art, with a strong emphasis on practical application and theoretical foundations. Her research interests focus on the intersection of visual communication, editorial design, and performative practices. She examines how text, images, and color function in visual communication, the relationship between fashion and art through performance, and the role of graphic design in contemporary culture. Her work particularly emphasizes the historical context of design, including the Bauhaus movement and women's contributions to graphic design. She explores how clothing functions as a medium for environmental interaction and how performative gestures relate to space, territory, and mapping. Gasparini has an extensive exhibition history with solo shows from 2005-2023 across Italy, Japan, Finland, Germany, and the United States. Her notable works include 'Nuke Mars' (2023), 'Sewing the Empire' (2023), and 'Transiti' (2021). She has participated in international artist residencies in India, Germany, Belgium, Rajasthan, Japan, the United States, and Finland. 2022 'Sustainability and Art' Award, organized by Laguna Prize with Ca' Foscari University and NaturaSì Her teaching methodology combines theoretical lectures with practical workshops, emphasizing the development of personal branding, corporate identity, and editorial design skills. She utilizes Adobe InDesign in her courses and requires students to develop portfolios of progressively complex editorial projects. Her academic work has been recognized through her courses being designated as characterizing (C) components in the study plans for Fashion Design and Comics and Illustration programs.

Melissa GianferrariView profile

Professor

• Photographic Restoration
• Conservation of Cultural Heritage
• Photography Techniques
• +3 more

Melissa Gianferrari is a tenured Professor of Photographic Restoration at the Academy of Fine Arts in Bologna since 2021, specializing in photography techniques and conservation within the Department of Restoration – Library and Archive Material. Her career spans over two decades of hands-on restoration work and academic instruction focused exclusively on photographic heritage. Her educational foundation includes: Diploma in cultural heritage restoration from Opificio delle Pietre Dure in Florence (Drawings and Prints department, 2002) Specialization in photography restoration at Fratelli Alinari (Florence) and Bibliothèque Nationale de France (Paris) Graduation in Technologies for Conservation and Restoration of Cultural Heritage from University of Tuscia Her research centers on photographic material science and preservation methodologies , with particular expertise in film degradation mechanisms, historical photographic processes, and digital print conservation. Gianferrari actively bridges theoretical knowledge with practical conservation through extensive work on cellulose acetate negatives, instant photography materials, and transparent supports, emphasizing the dual nature of photographs as both physical artifacts and historical documents. Recent publications reveal a strategic focus on hybrid conservation approaches combining traditional craftsmanship with digital documentation. Her work addresses critical challenges in cellulose acetate preservation, non-aqueous adhesion techniques, and the restoration of experimental 1960s photographic media, establishing her as a leading voice in photographic conservation science. She has supervised numerous student projects involving condition reporting, archival surveys, and hands-on restoration of historical photographic collections. Collaborations with major institutions including Venaria Reale, Opificio delle Pietre Dure, and State Archives demonstrate significant practical impact beyond academia. Gianferrari utilizes the Academy's Historical Photographic Heritage facilities for research and teaching, conducting material analysis and restoration experiments while maintaining active engagement with professional networks through national and international conservation conferences.

Chi Ho CheungView profile

Researcher

• Machine Learning
• Artificial Intelligence
• Computer Vision
• +3 more

Chi Ho Cheung is a Researcher specializing in machine learning, computer vision, and multimedia systems. His career spans both academic research and industry innovation through roles at Tencent Technology (Shenzhen), TCL Corporate Research (Hong Kong), and current position at The Laboratory of Data Discovery for Health. His research interests focus on computer vision and health data analysis, particularly in Virtual view synthesis for free-viewpoint communication Advanced image inpainting and background modeling techniques Multi-sprite and depth-based solutions for video enhancement AI-driven health status classification and risk prediction systems Cheung's publication record demonstrates expertise in multimedia processing and 3D reconstruction , with a focus on disocclusion handling and motion compensation algorithms across three major IEEE Transactions on Multimedia papers (2015-2020). Currently developing AI health products for women's health applications, Cheung applies machine learning and computer vision algorithms to create end-to-end solutions from literature review through product launch. His work emphasizes cross-disciplinary collaboration, providing technical guidance to teammates for implementing AI solutions in health risk prediction and multimodal health data classification.

Sandra SchramkeView profile

Professor

• Scenography
• Curatorial Practice
• Spatial Design
• +4 more

Professor Sandra Schramke serves as Professor for Scenography and Curatorial Practice/Spatialization of Knowledge at the Muthesius Academy of Art and Design Kiel since April 2017. She brings extensive expertise in architectural theory, exhibition design, and knowledge spatialization, with particular specialization in the work of Charles and Ray Eames. Her academic journey includes significant research positions at the Bauhaus University in Weimar and Humboldt University of Berlin, establishing her as a leading scholar in cybernetic scenography. Her academic foundation was built through studies in architecture and urban planning at the Technical University of Dortmund (1989-1995), followed by professional architectural practice in Germany and Spain (1995-2002). She then transitioned to academia as a research assistant at the Faculty of Architecture at the Bauhaus University in Weimar (2002-2008), where she completed her doctorate on 'Cybernetic Scenography: The Exhibition Architecture of Charles and Ray Eames from 1959 to 1964/65' in 2009. She further expanded her research at the Chair of the History of Knowledge and Culture at Humboldt University of Berlin (2009-2016) and as a postdoctoral researcher in the Cluster of Excellence 'Image Knowledge Design' (2016/17). Professor Schramke's research focuses on how spatial arrangements communicate knowledge and shape experiences, examining scenographic principles across historical and contemporary contexts. Her work bridges architectural theory with practical applications in museums, exhibitions, and public spaces, exploring how physical environments influence perception and understanding. She investigates the theoretical frameworks that connect spatial design with knowledge transmission, with particular attention to seriality, folding in architecture, and the transformation of biological forms into spatial concepts. Analysis of her publications reveals consistent thematic development across her career, with increasing interdisciplinary reach. Her work demonstrates sophisticated integration of architectural history, theoretical frameworks, and contemporary design challenges. Key patterns include exploration of how architectural elements convey meaning, examination of historical precedents in modern contexts, and investigation of the relationship between physical form and conceptual content in exhibition design. Humboldt University of Berlin: Taught courses including Drawing in Art and Technology, Atmospheres, Cultures of Remembrance, Bodies and Images, Spatial Figures of Thought, Architectures of Representation, Genealogies, Typologies, Forms, Attention Economies, Project City Space Design, Material Meanings, Objects, Berlin's Technical Infrastructures 1800-2020, Synchronous Orders of Knowledge, Symmetries, Spaces and Things, Models, and Multimedia Architectures Weißensee Academy of Art Berlin: Taught Project City Space Design and Seminar Spaces and Things Bauhaus University Weimar: Supervised seminars, design projects, and diploma theses at both the Chair of Architectural Theory and the Chair of Urban Planning II, while overseeing the interdisciplinary Media Architecture program Muthesius Academy of Fine Arts Kiel: Teaches Project Experience Spaces, Museology, and Exhibition Architecture Professor Schramke has contributed to significant research initiatives including Movement Research at Anhalt University of Applied Sciences Dessau-Roßlau, Paper Folding in Teaching at the Bauhaus with MPI Potsdam, and the Project City Space Design with the Berlin Foundation Week. Her practical architectural experience includes participation in the renovation of the former Reichstag President's Palace in Berlin, renovation of Hannes Meyer's teachers' houses in Bernau, and numerous architectural competitions and projects across Germany and Spain. This dual engagement with theoretical research and practical application defines her distinctive scholarly approach.

Ewa Bloom-KwiatkowskaView profile

Professor

• Visual Art
• Critical Art
• Performative Art
• +6 more

Professor Ewa Bloom-Kwiatkowska is a distinguished visual artist and academic affiliated with the Władysław Strzemiński Academy of Fine Arts in Łódź, where she has served as a lecturer since 2010. She also previously taught at the Łódź Film School (2012-2015) where she developed specialized programs in virtual scenography. As a representative of critical and performative art movements, she works across multiple disciplines including painting, set design, direction, and experimental video art. Her artistic practice centers on creating complex visual scenarios with transmedia potential that operate in both virtual and real spaces. She employs subversive strategies to confront traditional notions of art with socio-political pressures and personal autobiography. Her research interests span critical art theory, performative practices, multimedia scenography, and the intersection of visual culture with political discourse. Professor Bloom-Kwiatkowska's artistic output shows a consistent engagement with socio-political themes, particularly examining violence in visual culture, cultural identity, and historical memory. Her work often references Polish avant-garde traditions while maintaining a contemporary critical perspective. She has developed a distinctive approach that combines theoretical rigor with artistic experimentation across multiple media. First Degree Award from the Ministry of Culture and Art for theatre scenography Three scholarships from the Ministry of Culture and Art Artistic award from the Mayor of Łódź (2017) Main prize in the 2017 national competition of the Marshal of the Łódź Voivodeship As an educator, she has developed innovative curricula in costume design and multimedia scenography. Her habilitation thesis 'Image and Violence. Screen Code' represents a significant theoretical contribution connecting her artistic practice with critical theory. She has presented her work internationally, including at the Sorbonne University in Paris and the Marek Edelman Dialogue Center in Łódź. Her artistic works are held in prestigious collections including Sammlung Hoffmann Kollektion in Berlin and Die Bildwechsel-Archive Videomuseum in Hamburg.

Joshua ThorsonView profile

Associate Professor

• Emerging Technologies
• Fine Art Photography
• Projection Design
• +5 more

Joshua Thorson is an Associate Professor and Graduate Program Director for Photography and Related Media at Rochester Institute of Technology's School of Photographic Arts and Sciences within the College of Art and Design. His work bridges fine art photography, emerging technologies, and projection design for theatrical performances, with notable contributions to Broadway productions including the Tony Award-winning revival of Oklahoma! His educational background includes a BA from the University of Minnesota-Twin Cities, an MFA from Bard College, and a PhD from Rensselaer Polytechnic Institute. Thorson's research focuses on sustainable photographic practices, as evidenced by RIT's photographic garden initiative that integrates plant-based chemistry into artistic processes. Thorson's creative output demonstrates a consistent exploration of time-based media, projection design, and interdisciplinary collaboration. His work spans experimental photography, video installations, and multimedia theater productions, often examining the intersection of historical narratives with contemporary digital technologies. Recent projects show increasing emphasis on sustainable materials and 360-degree storytelling techniques. Drama Desk Award nomination for Outstanding Projection Design (2019) Special Citation Obie Award for Oklahoma! video projections (2019) Tony Award for Best Musical Revival as video designer (2019) As Graduate Program Director, Thorson mentors MFA students in photography and related media, guiding thesis development through courses like Research Core II and Integrated Practices I. His teaching emphasizes experimental problem-solving and expanded studio practices, with RIT's co-op program providing students industry experience. Thorson leads initiatives like the photographic garden that merge sustainability with artistic practice, fostering innovation in material processes while maintaining technical excellence in imaging arts.

• Computer Vision
• Ontology-Based Image Analysis
• Machine Learning
• +4 more

Dr. Christopher Town is an Affiliated Lecturer in the Department of Computer Science and Technology at the University of Cambridge. He holds dual roles as Bye Fellow and Director of Studies in Computer Science at Jesus College and as a Fellow and Tutor at Wolfson College. His research focuses on bridging the semantic gap between human and machine interpretation of visual data through ontology-based frameworks, with applications in image retrieval, automated surveillance, and biological pattern analysis. Notable contributions include the development of tools like Manta Matcher for marine species identification and algorithms for egg pattern recognition in evolutionary biology. Dr. Town earned his PhD in Computer Science from the University of Cambridge, supported by an Industrial Fellowship from the Royal Commission for the Exhibition of 1851. His academic journey includes pre-doctoral research at AT&T Labs and undergraduate studies at Trinity College, Cambridge. He has supervised over 60 student projects, lecturing courses in Machine Visual Perception and Computer Vision. Awards include the BCS Distinguished Dissertation Award (2005) and recognition for best papers in computer vision and bioinformatics. His interdisciplinary work spans computer science, ecology, and medicine, with publications in journals like Nature Ecology & Evolution and IEEE transactions. He actively promotes academic mentorship through initiatives like the PhD Mentoring Scheme at Wolfson College. Current research explores reproducibility in GANs and the application of deep learning to ecological and medical imaging challenges.

Calum ColvinView profile

Professor

• Fine Art Photography
• Constructed Photography
• Visual Illusions
• +4 more

Calum Colvin is Professor of Fine Art Photography and Associate Dean of Research at Duncan of Jordanstone College of Art and Design, University of Dundee. Born in Glasgow in 1961, he has exhibited his work nationally and internationally for over thirty years since graduating from the Royal College of Art, London in 1985. His constructed photographic artworks have been widely exhibited and are represented in numerous prestigious collections including the Metropolitan Museum of Modern Art, New York, and the Scottish National Gallery of Modern Art in Edinburgh. Education 1979-1983: Diploma in Sculpture, Duncan of Jordanstone College of Art, Dundee 1983-1985: MA in Photography, Royal College of Art, London Research Interests Professor Colvin's practice-based research centers on constructed photography, creating intricate visual illusions and allegories that explore contemporary concerns relating to society, the environment, and aspects of national identity. His work begins as large-scale studio 'stage-sets', tableaux of everyday objects carefully posed and theatrically lit, with painted trompe-l'oeil elements that integrate object and subject in complex mise en scene. His research investigates how visual narratives can engage viewers in creative dialogue about cultural identity, particularly Scottish identity, while incorporating historical references and contemporary social commentary. Through his unique photographic technique, Colvin bridges traditional and contemporary art forms, creating works that challenge perceptions and invite interpretation. Research Trends Colvin's recent work demonstrates a consistent focus on Scottish cultural identity, historical interpretation, and visual allegory. His projects often reinterpret historical figures and events through contemporary photographic practice, with recent works examining Robert Burns, Jacobite history, and national symbolism. The artist frequently engages with themes of heritage, memory, and cultural representation through constructed photographic environments that blend reality with illusion. Scientific Awards Fellow of the Royal Society of Edinburgh (2021) OBE (2001) Elected to the Royal Scottish Academy (2004) Commendation for Engaged Researcher of the Year (2018) Stephen Fry Award for Excellence in Public Engagement with Research (2013) Advising and Grants As Associate Dean of Research at Duncan of Jordanstone College of Art and Design, Professor Colvin has led significant research projects including 'Jacobites by Name' (funded by Leverhulme Trust), 'Digital Art and Activism Network' (funded by Royal Society of Edinburgh), and 'Visual Research in Creative Collections and Economies' (funded by University of Dundee). His leadership in securing research funding has contributed to the development of artistic research infrastructure and collaborative projects across Scotland and internationally. Research Environment Professor Colvin works within the Contemporary Art Practice department at Duncan of Jordanstone College of Art and Design, contributing to Dundee's vibrant artistic research community. His practice-based research integrates with the college's facilities for photography, printmaking, and digital imaging, allowing for the creation of his complex constructed photographic works. As Associate Dean of Research, he plays a key role in shaping the research environment for the entire college.

• Neurobiology
• Medical Bioinformatics
• Molecular Pathology
• +3 more

Marina Zimmermann is a Research Fellow at the University of Hamburg , affiliated with the Institute of Medical Systems Bioinformatics within the Center for Molecular Neurobiology Hamburg (ZMNH) . Her work focuses on computational pathology , AI-driven medical diagnostics , and advanced microscopy techniques . She specializes in applying deep learning to kidney disease analysis, ophthalmic diagnostics, and molecular profiling of clinical specimens. Her research interests include explainable AI in medical imaging , overcoming laboratory bias in microscopic image analysis, and developing novel tools for renal pathology and cholangitis diagnosis. She has contributed to super-resolution microscopy innovations and automated classification frameworks for conditions like diabetic retinopathy and membranous nephropathy. Zimmermann’s recent work emphasizes nano-scale molecular profiling and interpretable cancer relapse prediction , bridging computational methods with clinical applications. Her lab integrates interdisciplinary approaches from bioinformatics, machine learning, and clinical pathology to advance diagnostic precision.

• Artificial Intelligence in Healthcare
• Medical Image Analysis
• ADHD Diagnosis Systems
• +5 more

Abdul Rehman is a computer science researcher currently affiliated with IMT Atlantique Bretagne Pays de la Loire in Brest, France, where he recently completed his PhD dissertation on 'Practical watermarking for multimedia traitor tracing' in 2024. His research spans multiple domains at the intersection of artificial intelligence and healthcare applications, with significant contributions in medical image analysis, neurodevelopmental disorder diagnosis, and wireless communications. His primary research interests focus on applying AI techniques to healthcare challenges, particularly in ADHD diagnosis systems using visual attention tasks, eye tracking, and serious games. He has also made substantial contributions to medical image analysis for breast cancer and leukemia detection, as well as work in multimedia security, serverless computing, and wireless sensor networks. His interdisciplinary approach combines computer vision, deep learning, and human-computer interaction to develop practical healthcare solutions. Analysis of his recent publications (2023-2025) reveals a strong trend toward healthcare AI applications, particularly in neurodevelopmental disorders and medical imaging. His work demonstrates expertise in developing explainable AI frameworks that bridge technical innovation with clinical needs, often collaborating with psychologists and medical professionals. The publications show increasing sophistication in multimodal approaches combining eye tracking, visual attention analysis, and deep learning. Abdul Rehman has established productive collaborations with researchers including Ilona Heldal, Jerry Chun-Wei Lin, and Waqas Sultani, with whom he has co-authored multiple papers on ADHD diagnosis systems. His work appears in reputable venues including IEEE Access, IEEE Big Data, and MICCAI. As a recent PhD graduate transitioning into research positions, he is actively contributing to multiple research directions while establishing himself as a specialist in AI applications for healthcare diagnostics, particularly in the areas of neurodevelopmental disorders and medical image analysis.

B.S. ManjunathView profile

Professor

• Image/Video Analysis
• Multimedia Databases
• Steganography
• +3 more

B.S. Manjunath is a Professor in the Department of Electrical and Computer Engineering at the University of California, Santa Barbara (UCSB). He serves as Director of the Center for Multimodal Big Data Science and Healthcare and the Center for Bio-image Informatics. His research focuses on image/video analysis, multimedia databases, steganography, and bio-informatics. Manjunath holds a Ph.D. from the University of Southern California (1991), M.E. from Indian Institute of Science (1987), and B.E. from Bangalore University (1985). He is an IEEE Fellow and ACM Fellow. Education: Ph.D. (1991), Signal & Image Processing Institute, EE-Systems, USC M.E. (1987), Systems Science and Automation, Indian Institute of Science B.E. (1985), Electronics Engineering, Bangalore University Research Interests: Image/video analysis (segmentation, registration, texture analysis) Multimedia databases and data mining Steganography and digital forensics Signal/image processing for bio-informatics His work includes developing the BisQue open-source platform for image informatics and leading NSF-funded initiatives in bio-image informatics and interactive multimedia. Key Contributions: Over 300 peer-reviewed publications 24 patented technologies Co-editor of the ISO/MPEG-7 multimedia standard Founder faculty of the Media Arts and Technology Program Awards and Affiliations: IEEE Fellow (2025) and ACM Fellow (2025) Affiliated with UCSB’s Computer Science Department and Dynamical Neuroscience Program Former Director of the NSF-sponsored Interactive Digital Multimedia IGERT program Labs and Platforms: Director of the Vision Research Lab Lead developer of the BisQue image informatics system Pioneering work in multimodal camera networks and healthcare analytics

Konstantinos ZagorisView profile

Lecturer

• Content-Based Image Retrieval
• Handwritten Text Recognition
• Document Image Processing
• +3 more

Konstantinos Zagoris is a Lecturer in Databases and Distributed Systems at Neapolis University Pafos, Department of Computer Science. He coordinates ERASMUS programs and student affairs. Previously, he held research roles at Salford University, Institute of Informatics & Telecommunications (Demokritos), and Democritus University of Thrace. Education: Diploma in Electrical and Computer Engineering (2003) - Democritus University of Thrace, Greece PhD in Content and Metadata Based Image Document Retrieval (2010) - Democritus University of Thrace Research focuses on content-based image retrieval, handwritten text recognition, document image processing, and medical image analysis. He has authored over 40 publications in journals and conferences, emphasizing innovative methods like Fuzzy Delphi Method for staff selection, convolutional recurrent neural networks for historical manuscript recognition, and bio-inspired models for document enhancement. Led projects funded by Hellenic/EU grants, with notable contributions to competitions like ICDAR DIBCO and ICFHR H-KWS. His work bridges computer science and digital humanities, advancing archival digitization and medical diagnostic tools.

• 3D Graphics
• Point Cloud Compression
• Augmented Reality
• +5 more

Prof. Marius Preda is a Lecturer at Telecom SudParis, specializing in multimedia technologies and standards. His work focuses on 3D graphics, point cloud compression, augmented and virtual reality, and MPEG standardization. He has contributed to numerous international conferences and publications, particularly in advancing compression techniques and interactive media systems. Key research areas include MPEG standards for 3D graphics, point cloud compression (notably G-PCC), and AR/VR applications in industrial and educational contexts. He has led projects like ATOFIS, an AR training system for manufacturing, and explored lightweight neural network libraries (FasterAI). His work bridges theoretical advancements with practical implementations, emphasizing interoperability and efficiency. Preda has collaborated extensively on international standards through MPEG, contributing to the development of protocols for mixed reality, media convergence, and interactive systems. His research also addresses challenges in real-time processing, hardware optimization, and user-centric design across domains like robotics, energy systems, and cultural heritage preservation.

Djamila AouadaView profile

Assistant Professor

• Computer Vision
• Signal Processing
• Image Processing
• +3 more

Djamila Aouada is an Assistant Professor and Senior Research Scientist at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), where she heads the Computer Vision, Imaging, and Machine Intelligence (CVI2) research group. She earned her State Engineering degree from École Nationale Polytechnique, Algeria, and PhD from North Carolina State University. Her research spans computer vision, signal processing, pattern recognition, and data modeling. Dr. Aouada leads several national and European projects including FNR FAVE, 3D-Act, and H2020 STARR, focusing on AI-driven solutions for industrial and security applications. She has received four IEEE Best Paper Awards for her contributions. Dr. Aouada has supervised 5 completed PhD theses and currently mentors 5 PhD candidates, while maintaining collaborations with Los Alamos National Laboratory and Mitsubishi Electric Research Labs. She serves as Senior IEEE Member and previously chaired IEEE Benelux Women in Engineering.

Bimal ViswanathView profile

Associate Professor

• Machine Learning Security
• Privacy
• Adversarial Attacks
• +2 more

Dr. Bimal Viswanath is an Associate Professor in the Department of Computer Science at Virginia Tech. His research focuses on security and privacy aspects of large online services, particularly at the intersection of machine learning and security. His work covers three main directions: attacks using ML, attacks on ML systems, and ML for improved security/privacy. He has received multiple awards including the Distinguished Paper Award at SOUPS 2014 and Best Paper Award at COSN 2015. Dr. Viswanath completed his Ph.D. in Computer Science at the Max Planck Institute for Software Systems and was a postdoctoral researcher at UCSB's SAND lab. His research group currently includes several PhD students working on security and machine learning projects. His work has been supported by grants from CCI, NSF and 4-VA. Recent research has focused on security challenges in generative AI systems, including deepfake detection, chatbot vulnerabilities, and adversarial attacks on ML systems. His team develops practical defenses against emerging threats in AI-powered systems. Teaching activities include courses on Foundation Models and Security, Secure Computing Capstone, and Security Analytics. Dr. Viswanath serves on program committees for top security conferences including CCS, USENIX Security, and IEEE S&P.