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Tomislav MedićView profile

Lecturer

• Geomatics
• Remote Sensing
• Laser Scanning
• +6 more

Dr. Tomislav Medić is a Lecturer and PostDoc at the Department of Civil, Environmental and Geomatic Engineering, ETH Zurich. His research focuses on advanced geospatial technologies, particularly terrestrial laser scanning (TLS) applications in deformation monitoring, sensor calibration, and precision agriculture. MSc in Geodesy and Geoinformation, University of Zagreb, Croatia PhD in Geodesy, Bonn University (IGG), Germany Dr. Medić’s research spans geomatics, remote sensing, and sensor engineering. Key areas include TLS radiometric calibration, point cloud processing for 3D displacement analysis, and multispectral LiDAR applications in agriculture. He contributes to improving geodetic measurement accuracy through innovative calibration strategies. His recent publications emphasize TLS integration with RGB data for geomonitoring (2025), hyperspectral scanning for fruit quality assessment (2024), and calibration field design for panoramic scanners (2023). Articles demonstrate expertise in error modeling, multi-sensor fusion, and environmental monitoring applications. At ETH Zurich’s Geosensors and Engineering Geodesy (GSEG) group, he leads the Alpine Measurement Lab collaboration project. He also participates in PhenoRob, a cluster of excellence in robotics and phenotyping for sustainable crop production at Bonn University.

Matthew SimunovicView profile

Professor

• Emerging treatments for inherited retinal diseases
• Experimental vitreoretinal surgery
• Visual psychophysics
• +7 more

Professor Matthew Simunovic is a leading academic in ophthalmology at the University of Sydney , holding a professorial appointment in the Faculty of Medicine and Health and working at the Save Sight Institute . He serves as a Senior Consultant Ophthalmic Surgeon at Sydney Eye Hospital and Sydney Children’s Hospitals Network, specializing in retinal diseases and vitreoretinal surgery. MB BChir (Cambridge), PhD (Cambridge), FRANZCO First Australian ophthalmologist to receive Foundation Fighting Blindness Career Development Award (USA) Member of prestigious societies: American Ophthalmological Society, Macula Society His research interests span four main areas: laboratory research on gene-independent treatments for retinal diseases and optogenetics; experimental surgery for subretinal drug delivery optimization; functional biomarkers for retinal disease progression; and clinical trials including the ONL Study, Renexus Phase III Trial, and 1,2-SIT comparing subretinal injection techniques. Key projects include retinal bioglue development and international registry initiatives. Recent publications show strong focus on retinal disease treatment (2025: 15+ articles), gene therapy applications (2024), optogenetics for vision restoration (2023), and deep learning in OCT analysis (2022-2023). His work combines cutting-edge biomedical engineering with clinical practice across genetic diseases , macular degeneration , and diabetic retinopathy . Scientific Awards Multiple international fellowships (Wellcome Trust, Foulkes Foundation) Prizes from Royal College of Ophthalmologists Top publications in New England Journal of Medicine , Nature Biomedical Engineering Grants & Collaborations NHMRC Ideas Grant (2021) for optogenetics Macular Disease Foundation Australia grant Collaborations with Oxford, Tübingen, and APIED Network Equipment grants for HD-MEA technology

• Translational Pathology
• Histopathology
• Multiplex Immunohistochemistry
• +7 more

Michelle A. Wood-Trageser, PhD is an Assistant Professor in the Division of Translational Pathology at the University of Pittsburgh School of Medicine. She serves as co-director for the CAP/CLIA certified Research Histology Services Laboratory, working alongside Dr. A. Jake Demetris to advance the field of transplant pathology through innovative histological techniques. Dr. Wood-Trageser earned her BS from Elizabethtown College in 2004 and her PhD from the University of Pittsburgh in 2009, establishing a strong foundation for her career in translational research. Her research program focuses on integrating traditional histopathological approaches with multiplex immunohistochemistry and digital image analysis to enhance understanding of disease processes within tissue. The laboratory's primary focus is on characterizing the immune microenvironment within biopsy tissues, with recent expansion into genomic capabilities for developing novel clinical tests that correlate geographical information from biopsies with molecular signatures. This integrative approach bridges the gap between classical pathology and modern molecular diagnostics. Dr. Wood-Trageser's publication record demonstrates consistent productivity across two major research domains: reproductive genetics (particularly ovarian biology and infertility) and transplant pathology. Her recent work (2020-2023) shows an increasing emphasis on digital pathology applications in transplantation, including immune synapse detection and T cell monitoring in allografts. She has developed expertise in combining genomic data with spatial tissue information to create more comprehensive diagnostic tools. Dorothy Lyet Research Endowment, Summer Research Stipend, Elizabethtown College (2002, 2003) Beta Beta Beta, Biological Honors Society, Elizabethtown College (2003-2004) Stephen L. Phillips Scientific Achievement Award, University of Pittsburgh, School of Medicine (2008) Gary Betty Scholar, University of Michigan (2009) Trainee Day Travel Award, Endocrine Society (2009) Outstanding Abstract Award, Endocrine Society (2011) Lalor Foundation Travel Fellow, Society for the Study of Reproduction (2014) Cornelia Post Channing New Investigator Award, Society for the Study of Reproduction (2014) Dr. Paul M. Rike Fellowship Award, Magee-Womens Research Institute (2014) As co-director of the Research Histology Services Laboratory, Dr. Wood-Trageser oversees a CAP/CLIA certified facility that serves as a hub for advanced histological techniques applied to both clinical and research specimens. Her mentorship approach emphasizes technical excellence in histopathology while encouraging innovation in digital and genomic pathology applications. Current research directions include developing methods to correlate spatial tissue architecture with molecular signatures, creating more precise diagnostic frameworks for transplant pathology and reproductive disorders.

• Food Science
• Meat Technology
• Nutritional Value
• +5 more

Monika Modzelewska-Chapter is a Professor at the Department of Meat Technology and Chemistry, Faculty of Food Sciences, University of Warmia and Mazury in Olsztyn. Her research focuses on food science, specifically meat technology, antimicrobial resistance, and nutritional value optimization. ORCID: 0000-0001-7258-1084 Laboratory infrastructure and funding available for doctoral projects Her work emphasizes sustainable meat processing technologies, collagen dynamics in beef, and microbial safety in food systems. She supervises 1 doctoral student and has published extensively on meat quality parameters. Key research themes include: Antimicrobial resistance in meat production Sous-vide and modified atmosphere packaging Nutritional profiling of conventional vs. organic meat Collagen solubility and meat tenderness Computer vision applications in meat quality assessment

• Video Coding for Machines
• Neural Network-Based Video Processing
• Immersive Video Coding
• +5 more

Professor Marek Domański is a distinguished faculty member at Poznań University of Technology, holding the position of Professor at the Institute of Multimedia Telecommunications within the Faculty of Computing and Telecommunications. With over four decades of academic career since completing his dissertation in 1983, he has established himself as a leading researcher in video coding and processing. His research primarily focuses on advanced video coding techniques, particularly Video Coding for Machines (VCM), neural network applications in video processing, immersive video coding, and multiview video compression. Professor Domański has made significant contributions to the field through his extensive publication record and active participation in international standardization efforts, particularly at MPEG meetings. Analysis of his recent publications (2020-2025) reveals a strong emphasis on machine-oriented video coding, with numerous contributions to MPEG standardization activities. His work demonstrates a consistent evolution from traditional video coding toward specialized techniques for machine vision applications, incorporating artificial neural networks to improve coding efficiency and processing capabilities. As an academic supervisor, Professor Domański has guided 27 doctoral students to completion, with recent dissertations focusing on cutting-edge topics in video processing and coding. His research group at PUT maintains active international collaborations, particularly with South Korean institutions like ETRI, reflecting the global relevance of his work. Professor Domański's research has practical applications in virtual reality, free-viewpoint television, and machine vision systems, with numerous technical reports indicating ongoing research projects focused on improving machine vision coding techniques. His work bridges theoretical advances with practical implementations, contributing significantly to both academic knowledge and industry applications in video technology.

• Analytical Chemistry
• Chemometrics
• Food Chemistry
• +3 more

Alessandro Ulrici is a Full Professor of Analytical Chemistry (SSD CHIM/01) in the Department of Life Sciences at the University of Modena and Reggio Emilia (UNIMORE), a position he has held since December 2023. He also serves as Vice-Director of the Department of Life Sciences. Previously, he was an Associate Professor at UNIMORE from November 2010 to December 2023 and a University Researcher from August 2001 to October 2010. Professor Ulrici's research focuses on three main areas: Development and application of rapid, non-destructive analytical techniques based on chemometric approaches for food control and characterization Development of new algorithms for signal and image analysis, for the selection of significant variables and for the study of complex systems Product and process optimization through multivariate experimental design techniques His recent publications (2023-2025) demonstrate a strong focus on applying advanced analytical techniques to food science problems, particularly in viticulture and oenology, food authentication, and quality control. His work frequently employs NIR hyperspectral imaging, electrochemical sensors, and smartphone-based analytical devices, combined with sophisticated chemometric analysis. Professor Ulrici has received numerous scientific awards including: Highly cited research paper 2016 from Chemometrics and Intelligent Laboratory Systems Multiple Best Poster and Best Oral Presentation Awards from NIRITALIA, IASIM, and the Scandinavian Symposium on Chemometrics As an educator, Professor Ulrici teaches courses in Analytical Chemistry and Chemometrics for undergraduate and graduate students in biotechnology, food safety, and agricultural sciences. He previously served as Coordinator of the PhD Course in Agri-Food Sciences, Technologies and Biotechnologies at UNIMORE from 2017 to 2023. Professor Ulrici directs research activities through the Chemistry and Spectroscopy Laboratory (ChimSLab) at UNIMORE, which maintains an online presence at http://www.chimslab.unimore.it/ .

• Color Theory
• Art History
• Painting Techniques
• +3 more

Salvatore Palazzolo is a Professor at Ababo in Bologna, Italy, where he has taught Chromatology and Painting Techniques since settling in Bologna in 2003. He delivers Chromatology across multiple programs including Decoration – Art and Environment, Painting, Graphic Design, Art Education and Communication, and Comics and Illustration, while also teaching Painting Techniques specifically within the Painting program. His research spans the interdisciplinary study of color through three integrated domains: Scientific Chromatology : Structure of the eye, trichromatic vision, Newton's light theory, visible spectrum physics, and refraction phenomena Structural Chromatology : Pigment chemistry (organic/inorganic), historical dyeing techniques, lacquer composition, medieval color alchemy, and chromatic spatial interactions Symbolic Chromatology : Psychological color perception, historical/cultural symbolism across civilizations, religious iconography, and marketing applications like the Luscher test His pedagogy emphasizes laboratory experimentation where students synthesize these domains through transversal research projects culminating in exhibition essays. Born in Palermo, Sicily (the capital of Italy's triangular island) in the 1960s, Palazzolo began his contemporary art career in the 1980s with works characterized by irony and desecration. After studying art in Sicily, he migrated to mainland Italy ('the boot'), developing what he describes as 'amusement parks and rides for the intellect' before establishing his academic base in Bologna.

Monika FormankiewiczView profile

Associate Professor

• Vision Science
• Optometry
• Binocular Vision
• +4 more

Dr. Monika Formankiewicz serves as Associate Professor in the Department of Vision and Hearing Sciences within the School of Psychology, Sport and Sensory Science at Anglia Ruskin University's Faculty of Science and Engineering. A registered optometrist, she specializes in vision science with emphasis on binocular processing and clinical vision testing. Her educational credentials include: Postgraduate Certificate in Teaching and Learning from Anglia Ruskin University PhD from the University of Cambridge Bachelor of Optometry (First Class Honours) from the University of New South Wales, Sydney, Australia Her research investigates fundamental mechanisms of spatial vision, binocular integration, amblyopia development, contour interaction phenomena, and color perception physiology. Employing psychophysical methodologies, she examines how visual systems combine information across eyes and respond to optical distortions, with significant focus on clinical applications for vision impairment detection. Analysis of her 2010-2013 publications reveals consistent investigation into contour interaction effects under varying visual conditions, particularly comparing luminance-modulated versus contrast-modulated stimuli. Her work demonstrates how factors like blur, eccentricity, and noise impact visual acuity measurements, with direct implications for pediatric amblyopia screening protocols and clinical vision assessment tools. Professional recognition includes: Fellow of the Higher Education Academy While specific grant funding details aren't provided, her active research output and membership in the Vision and Hearing Sciences Research Group indicate ongoing scholarly activity. She teaches in BOptom (Hons) Optometry and BSc (Hons) Ophthalmic Dispensing programs. She contributes to the Vision and Hearing Sciences Research Group, which advances understanding of sensory perception mechanisms and develops clinical applications for vision and hearing disorders.

Jan FröhlichView profile

Professor

• High Dynamic Range (HDR)
• Wide Color Gamut (WCG)
• Image Encoding
• +5 more

Prof. Dr. Jan Fröhlich is a Professor for Motion Picture Engineering at Stuttgart Media University (HdM), specializing in advanced imaging technologies. His research focuses on high dynamic range (HDR) and wide color gamut (WCG) image encoding, color rendering, camera metrology, and HDR workflows. Prior to his academic appointment, he held key industry positions including Senior Image Scientist at ARRI Munich where he contributed to professional cinema camera systems, and Dolby Laboratories where he helped develop the ITU Rec.2100 ICtCp color space and Dolby Vision platform. He also served as Technical Director at CinePostproduction GmbH. His core research areas include: HDR/WCG encoding and color science Virtual production workflows Camera metrology and image sensor technology Perceptual aspects of high frame rate and HDR imaging Real-time HDR/SDR conversion systems Recent publications demonstrate extensive work in virtual production technologies, including LED volume workflows, HDR broadcast graphics, and light field displays. His research consistently addresses both theoretical foundations and practical implementation challenges in cinematography and broadcast engineering.

• Artificial Intelligence
• Machine Learning
• Data Science
• +5 more

Professor Kristina Schädler is a faculty member at the West Coast University of Applied Sciences (FH Westküste), where she serves as Professor of Data Processing within the School of Technology. She has been with the university since 2005 and also served as Dean of the Department of Technology. Her academic background includes a PhD in machine learning from TU Berlin, where she was awarded the Chorafas Research Prize for young scientists. West Coast University of Applied Sciences (since 2005) TU Berlin, Institute of Computer Science (1994-1999) Martin Luther University Halle/Wittenberg (1990-1994) Professor Schädler's research focuses on artificial intelligence and machine learning applications, particularly in image processing and data analysis. Her work spans multiple domains including industrial automation, agricultural technology, renewable energy, and animal husbandry. She has led numerous research projects that bridge academic theory with practical industrial applications, with particular emphasis on developing robust image processing systems that can be deployed in real-world settings. Her research portfolio demonstrates a consistent pattern of applying advanced machine learning techniques to solve practical problems across diverse industries. The ANIMET project, which developed facial recognition for horses, and the MaviSeg system for multichannel image segmentation represent her innovative approach to adapting computer vision technologies for specialized applications. Her work often involves close collaboration with industry partners to ensure practical relevance and implementation. Chorafas Research Prize for young scientists Innovationspreis at Equitana (2013) for the ANIMET project Professor Schädler has supervised numerous student theses that have resulted in practical applications across various domains. Her research group has secured funding from multiple sources including the European Commission, BMBF, and regional development agencies. She has established the CICAD project as a sustainable competence center for industrial image processing, which has trained multiple doctoral students through cooperative programs with the University of Lübeck. Her work demonstrates strong industry connections with companies like HIT Hinrichs Innovation + Technik, MBJ Solutions, and Fischer und Tausche Kondensatoren. Her research laboratory focuses on industrial image processing applications, with specialized equipment for 2D/3D imaging, spectral analysis, and machine learning implementation. The CICAD project established a dedicated competence center that continues to develop new applications of image processing technology across multiple industries.

Vesna ZeljkovicView profile

Professor

• Signal Processing
• Image Processing
• Medical Diagnostics
• +4 more

Vesna Zeljkovic serves as a Professor in the Chemistry & Physics Department at Lincoln University, where she applies her expertise in signal and image processing to develop mathematical models and novel algorithms for medical applications. Her office is located in the Ivory V. Nelson Science Center Room 334, and she can be reached at vzeljkovic@lincoln.edu or by phone at 484-365-7258. Professor Zeljkovic's research spans multiple interdisciplinary domains with a strong focus on medical diagnostics. Her work integrates advanced signal processing techniques with clinical applications, particularly in cardiopulmonary analysis and dermatological imaging. She has developed numerous algorithms for medical image analysis, sound signal processing, and diagnostic classification systems that bridge physics, engineering, and medical science. Her publication record demonstrates a consistent research trajectory from 2003 through 2025, with recent work focusing on vaccination effectiveness quantification, dermatological condition assessment, and advanced cardiopulmonary signal analysis. The articles reveal a methodological trend toward increasingly sophisticated machine learning applications while maintaining strong foundations in mathematical modeling and signal processing theory. While specific awards are not documented in the available materials, her extensive publication record across medical and engineering disciplines indicates significant scholarly contributions. Her research appears to focus on practical applications of signal and image processing to solve real-world medical diagnostic challenges across multiple specialties. Professor Zeljkovic's work demonstrates strong interdisciplinary collaboration, particularly between physics, engineering, and medical fields. Her research group appears to focus on developing computational tools for medical diagnostics, with particular emphasis on non-invasive assessment techniques using signal and image analysis.

• Digital Accessibility
• Human-Computer Interaction
• User Experience (UX)
• +5 more

Rubén Alcaraz Martínez is an Associate Professor at the Department of Library Science, Documentation and Audiovisual Communication at the University of Barcelona's Faculty of Information and Audiovisual Media. He teaches in the bachelor's degree in Information Management and Digital Documentation, the master's degree in Digital Content Management, and the master's degree in Digital Humanities at UB, while also collaborating with UPF on master's programs in Search Engines, Digital Documentation, and UX, as well as with EINA (UAB) on Graphic Design and Art and Design Research programs. Doctor in Engineering and Information Technologies (UdL) Master in Digital Content Management (UB/UPF) Diploma in Library Science and Documentation (UB) Senior Technician in Web Application Development Alcaraz Martínez's research focuses on digital accessibility, human-computer interaction, usability and user experience (UX), digital repositories and libraries, and search engine optimization (SEO). His work demonstrates a strong commitment to inclusive design, particularly in making data visualizations accessible for people with low vision. He has pioneered methodologies for evaluating the accessibility of statistical charts and has explored the integration of search experience optimization (SXO) with information architecture and web accessibility. His recent publications (2023-2025) reveal a research trajectory centered on practical applications of digital humanities, with particular emphasis on accessibility challenges in data visualization, SEO ethics, and the intersection of AI with design practices. His work bridges theoretical frameworks with practical implementation, often involving user testing and real-world applications. The publications span multiple disciplines including information science, human-computer interaction, digital humanities, and media studies, demonstrating his interdisciplinary approach to digital information systems. Rubén Alcaraz Martínez is actively involved in the Adaptabit and Culture and Digital Content research groups at the University of Barcelona. He has previously served as a member and coordinator of the COBDC's Free Software Working Group for Information Professionals and has provided consulting services related to web accessibility for public administration and SEO for both public and private companies. His work extends to the development of teaching materials on accessible document composition, color contrast in web accessibility, and accessible data visualizations through the Open University of Catalonia (FUOC).