جست‌وجوی استاد و پژوهشگر

Terence Broadمشاهده پروفایل

مدرس ارشد

• Generative AI
• Computational Creativity
• Artistic Applications of Machine Learning
• +۵ مورد دیگر

Terence Broad is a Senior Lecturer at the Creative Computing Institute, University of the Arts London, and Acting Course Leader of the MSc Applied Machine Learning for Creatives. He is currently completing a PhD at Goldsmiths, University of London. His work bridges art and technology, focusing on generative AI, computational creativity, and the use of machine learning as artistic materials. His research has been exhibited globally at venues like The Whitney Museum of American Art and SIGGRAPH conferences. Education: MSci Creative Computing from Goldsmiths, University of London (2012–2016). Research interests include expressive manipulation of deep generative models, exploring the latent possibilities of 'black-box' systems, and ethical considerations in AI art. He has pioneered methods like 'Network Bending' for creative model customization. Key achievements include winning the ICCV Computer Vision Art Gallery Grand Prize (2019) and serving on the SIGGRAPH jury (2021). His work is part of Geneva's contemporary art collection and has been featured in media like The Independent and Vox. Professional activities include organizing conferences like IGGI 2020 and reviewing for journals like Leonardo and ACM Transactions on Image Processing. He actively participates in exhibitions, artist talks, and academic workshops.

Scott Noklebyمشاهده پروفایل

استاد

• Robotics Engineering
• Mechatronics Systems
• Automation Technologies
• +۷ مورد دیگر

Dr. Scott Nokleby is an Associate Dean, Academic and Professor in the Department of Automotive and Mechatronics Engineering at the University of Ontario Institute of Technology. He holds a PhD in Mechanical Engineering from the University of Victoria (2003), and has over two decades of academic leadership and research experience. His primary roles include academic administration and advancing robotics and mechatronics research. Education: PhD (Mechanical Engineering, UVic, 2003), MASc (Mechanical Engineering, UVic, 1999), BEng (Mechanical Engineering with Co-op, UVic, 1997). Research interests focus on advanced robotics topics including parallel manipulators, mobile-manipulator systems, kinematic redundancy analysis, and autonomous systems. His work emphasizes practical applications such as radiation mapping robots, perching drones, and robotic hazard management. Notable contributions include optimal design methodologies for mechanisms and control systems for human-robot interaction. Publications reflect expertise in robotics systems, mechatronics, and nuclear engineering applications. Recent work explores multi-robot task allocation, autonomous navigation, and advanced control algorithms. Awards: Fellow of ASME (2022) Fellow of CSME (2016) CSME Best Paper Award (2014) UOIT Research Excellence Award (2008) CSME I.W. Smith Award (2007) Teaches graduate courses in advanced robotics, mobile robotic systems, and mechanism design. Active in academic administration, he bridges teaching innovation with engineering education through projects like tablet computing integration in design courses. Labs/Teams: Leads robotics research initiatives focused on autonomous systems development, with collaborations spanning nuclear safety, mining automation, and aerospace applications.

Brett Amoryمشاهده پروفایل

مدرس

• Multidisciplinary Art Practice
• Visual Perception
• Quotidian Engagements
• +۳ مورد دیگر

Brett Amory is a Lecturer at Stanford University's Art Practice department, where he has been active since 2018. He received an MFA from Stanford University in 2020 and a BFA from the Academy of Arts in San Francisco in 2005. Amory’s research focuses on multidisciplinary art practice at the intersection of quotidian and habitual engagements with the everyday world. His work prioritizes visual perception prior to interpretation, using ordinary contexts to explore unfamiliar realms. Recent artworks like Jesus Was a Sailor and Sex Magic Suicide examine themes of identity, memory, and material experimentation through mixed media approaches. His exhibitions include prestigious venues such as the National Portrait Gallery (London), Scottish National Portrait Gallery (Edinburgh), Fort Wayne Museum of Art, and Contemporary Jewish Museum in San Francisco. He held an artist residency at the de Young Museum in 2017.

Kathryn Dumbletonمشاهده پروفایل

استاد بالینی

• Contact Lenses
• Ocular Surface
• Dry Eye
• +۳ مورد دیگر

Kathryn Dumbleton is a Clinical Professor at the Herbert Wertheim School of Optometry & Vision Science at University of California, Berkeley. She also serves as Director of Professional Engagement at Berkeley Vision CURE (Children’s Uncorrected Refractive Error). Originally trained as an optometrist in the UK, she earned her MSc in Physiological Optics and PhD in Vision Science from University of Waterloo in Canada. Her academic appointments include roles at University of Waterloo and University of Manchester, where she led clinical research at the Centre for Contact Lens Research. Research Interests: Kathryn's work focuses on contact lenses, ocular surface dynamics, dry eye, and healthcare compliance. Her studies analyze tear film kinetics, lens wettability, and presbyopia correction, with a global perspective on clinical outcomes and patient comfort. Scientific Contributions: She has authored over 150 peer-reviewed publications and abstracts, seven book chapters, and numerous professional manuscripts. Her leadership roles include Vice President of the International Society for Contact Lens Research (ISCLR) and Past President of the American Academy of Optometric Foundation. Honors: Fellow of the American Academy of Optometry (FAAO) Diplomate of the Cornea, Contact Lens, and Refractive Technologies Section (CCLRT, AAO) Fellow of the British Contact Lens Association (FBCLA) Vice President, International Society for Contact Lens Research (ISCLR)

Mary Stoddardمشاهده پروفایل

استاد

• Sensory Ecology
• Avian Vision
• Animal Coloration
• +۲ مورد دیگر

Mary Stoddard is Professor in Princeton University's Department of Ecology and Evolutionary Biology. Her research explores animal coloration, avian vision, and evolutionary processes using multidisciplinary approaches combining computer science, optics, physiology, and genomics. Fieldwork is conducted at the Rocky Mountain Biological Laboratory (Colorado) and Mountain Lake Biological Station (Virginia). Research investigates visual communication, color perception in hummingbirds, pattern recognition in eggshells, and the biomechanics of structural coloration. Develops open-source optical tools and software for quantifying animal coloration. Leads the Princeton Better for Birds Project to reduce bird-window collisions through community engagement and architectural solutions.

Diana Flores Ruízمشاهده پروفایل

استادیار

• Media Studies
• Border Studies
• Feminist Media Theory
• +۳ مورد دیگر

Diana Flores Ruíz is an Assistant Professor in Cinema and Media Studies at the Department of Comparative History of Ideas, University of Washington. Her research examines sociotechnical media infrastructures of the US-Mexico border, focusing on carceral optics, liberatory visual practices, and community resistance. She holds a PhD and MA from UC Berkeley's Film & Media Studies program and a BA in Women’s Studies from Duke University as a Mellon Mays Fellow. Her work bridges media ecology analysis with historical critiques of settler colonial visual regimes. Education includes: PhD & MA in Film & Media Studies, UC Berkeley (2023) BA in Women’s Studies, Duke University (Mellon Mays Fellow) Research interests emphasize border media ecologies, digital incarceration, and anticarceral art strategies. Her book manuscript explores how state and corporate technologies shape migrant mobilities through visual capture. Recent publications appear in Feminist Media Histories , Journal of Cinema and Media Studies , and anthologies on Indigenous cinema and urban studies. Awards include the Mellon Mays Undergraduate Fellowship. Funding sources: Simpson Center for the Humanities, Mellon Foundation, Social Science Research Council, and UC Berkeley’s Center for Latin American Studies. Her interdisciplinary work intersects with grants supporting digital humanities and Latinx studies. Advising focuses on critical media pedagogies and decolonial research methods. Labs/Teams: Collaborates with UW’s US Latino Digital Humanities Center and the Institute for Citizens and Scholars.

Xiaorong Liuمشاهده پروفایل

دانشیار

• Retinal Development
• Glaucoma Pathology
• Neuroprotection Strategies
• +۳ مورد دیگر

Xiaorong Liu is an Associate Professor in the Departments of Biology and Psychology at the University of Virginia (UVA). She holds tenured status and leads the Xiaorong Liu Lab, focusing on retinal neurobiology and glaucoma research. Her academic journey includes a B.S. from Peking University (1996), a Ph.D. from the University of Virginia (2002), and postdoctoral training at The Scripps Research Institute and the University of California San Francisco (2002–2007). Her research explores retinal ganglion cell (RGC) development, degeneration in glaucoma, and neuroprotection strategies. Key techniques include mouse models of glaucoma, visible-light optical coherence tomography (vis-OCT), and in vivo imaging. Her lab’s innovations in vis-OCT fibergraphy enable non-invasive monitoring of RGC axon bundles and early glaucoma detection. Collaborations span ophthalmology, neuroscience, and engineering. Recent work emphasizes translational applications, such as drug delivery systems for glaucoma therapy and cross-species retinal comparisons (tree shrews, mice, humans). Funding includes grants from the Glaucoma Research Foundation, NIH, and Knights Templar Eye Foundation. Liu advises students and postdocs, fostering a collaborative environment to bridge basic science and clinical outcomes.

Hao Wuمشاهده پروفایل

مدرس ارشد

• Commercial Property Markets
• Urban Economics
• Valuation and Price Theory
• +۷ مورد دیگر

Dr. Hao Wu is a Senior Lecturer in Property at the University of Melbourne's Melbourne School of Design. He holds dual affiliations with Ormond College (Senior Common Room member) and has served on professional committees for organizations like the Royal Institution of Chartered Surveyors (RICS) and the Australian Property Institute (API). His academic journey includes degrees from the University of Melbourne, University of Auckland, and Nanjing University. Research focuses on commercial property markets, urban economics, valuation theory, and sustainable land development. He applies new institutional economics and case study methods to explore property rights, policy design, and investment strategies. Spatial economics analyses in housing supply and brownfields redevelopment are key themes. Dr. Wu has taught at both undergraduate and graduate levels and serves on the editorial board of the Journal of International Housing Markets and Analysis. Professional activities include peer reviewing for academic journals and columnist roles in China Real Estate Business. His work bridges academic research with practical applications in property valuation, urban planning, and policy development. Recent collaborations involve developing quantitative frameworks for assessing brownfield redevelopment impacts and urban growth sustainability.

Rob van Gentمشاهده پروفایل

پژوهشگر

• History of Astronomy
• Celestial Cartography
• Historical Scientific Instruments
• +۳ مورد دیگر

Dr. Rob van Gent is a Researcher at the Mathematical Institute within the Faculty of Science at Utrecht University. His work focuses on the history of astronomy, celestial cartography, and historical scientific instruments. He has contributed extensively to studies of star catalogs, medieval astronomical instruments like astrolabes, and the evolution of celestial maps from antiquity to modern times. Key research interests include the analysis of historical star atlases (e.g., Cellarius' Harmonia Macrocosmica), cross-cultural astronomy transmission (e.g., Al-Sufi's influence), and the digitization of historical astronomical resources. He served on the editorial board of KNAW Press from 2009 to 2010, reflecting his engagement in scholarly publishing. With over 44 publications, van Gent explores topics ranging from ancient eclipse records to the origins of telescopic technology. His work bridges historical documentation with modern astronomical practices, particularly through projects like the IAU Working Group on Star Names. He actively contributes to public understanding of astronomy history through publications and digitization efforts of rare celestial maps and instruments.

Arnab Mukherjeeمشاهده پروفایل

استادیار

• Molecular Bioimaging
• Biomedical Engineering
• Protein Engineering
• +۴ مورد دیگر

Arnab Mukherjee is an Assistant Professor in the Department of Chemical Engineering at the University of California, Santa Barbara (UCSB), with a joint appointment in the Department of Chemistry & Biochemistry (DCB). He leads the Mukherjee Lab, focused on molecular bioimaging, combining imaging science with synthetic biology, protein engineering, and chemical biology. His research addresses challenges in visualizing biological processes via non-invasive technologies like MRI and optical imaging. His work includes developing genetically encoded reporters for MRI, such as aquaporin-based systems that enhance water diffusion for diffusion-weighted imaging. Parallel efforts involve engineering oxygen-independent fluorescent proteins (LOV domains) to enable anaerobic and deep-tissue imaging, overcoming limitations of traditional GFP-derived reporters. These innovations target applications in tumor microenvironment studies, infectious disease diagnostics, and functional imaging of cellular processes. Mukherjee's lab is located in Elings Hall (Engineering II), and he collaborates across disciplines to advance biomolecular imaging tools. His research has produced over 20 peer-reviewed articles, with recent focuses on biomolecular probes, phage-based nanomaterials, and calcium-responsive contrast agents. He holds a robust publication record spanning molecular engineering, biosensor design, and imaging technologies. He is contactable at arnabm@ucsb.edu and office 3349 Engineering II. The lab’s work is supported by grants from NIH, NSF, and industry partnerships, though specific grants are not detailed in the provided texts.

David Brainardمشاهده پروفایل

استاد

• Behavioral Neuroscience
• Cognitive Neuroscience
• Sensation and Perception
• +۳ مورد دیگر

David Brainard is the RRL Professor of Psychology at the University of Pennsylvania. He leads the Brainard Lab, which investigates human vision through experimental and computational approaches, focusing on how the visual system interprets object properties from light signals. His research integrates psychophysics, computational modeling, and machine learning to understand color perception, visual processing, and neural mechanisms. Education: BS in Physics from Harvard University; PhD in Psychology from Stanford University. Research interests include human vision, visual neuroscience, and computational modeling of visual processing. Specific areas: color appearance under varying illumination, object identification via color, and development of machine vision systems mimicking human performance. Recent work explores retinal physiology, chromatic aberration correction, and evolutionary constraints on color naming systems. Notable contributions include studies on retinal ganglion cell physiology in primates, image reconstruction frameworks, and quadratic models of visual cortex responses. Collaborations span neurobiology, optics, and cognitive science. Awards: None explicitly listed. Active advising of graduate students and postdocs including Callista Dyer, Semin Oh, and Raymond Warner. Labs/Teams: The Brainard Lab at Penn, with ongoing projects on retinal imaging, computational models of vision, and cross-disciplinary applications in machine learning.

Krishnan Venkatakrishnanمشاهده پروفایل

استاد

• Nano and quantum medicine
• Nano and quantum scale fabrication
• Nano and quantum cancer diagnosis and therapy
• +۷ مورد دیگر

Krishnan Venkatakrishnan is a Professor in the Department of Mechanical, Industrial, and Mechatronics Engineering at Toronto Metropolitan University, Faculty of Engineering and Architectural Science. His research bridges advanced laser nanomanufacturing with biomedical and energy applications, focusing on quantum-scale solutions for real-world challenges. Education: PhD, Nanyang Technological University, 2000 MEng Sci, Queensland University of Technology, 1996 BE, Bharathiar University, 1994 His research interests lie at the intersection of nano and quantum medicine , ultrafast laser nanofabrication , and cancer stem cell targeting . He develops quantum-scale probes capable of detecting, monitoring, and destroying individual cancer cells, enabling earlier and more precise diagnosis than traditional methods like biopsies or MRI. His work extends into DNA methylation detection , solar energy materials , and single-cell level cancer metastasis analysis , using non-plasmonic and photoluminescent nanoprobes for label-free, high-sensitivity applications. The selected publications reflect a strong trend in leveraging quantum and nanostructured materials for biomedical diagnostics and targeted therapy , particularly in oncology. His team utilizes advanced optical techniques like SERS and Raman spectroscopy to achieve single-cell resolution, pushing the boundaries of early disease detection and personalized medicine. Scientific Awards: Early Research Award (ERA) YSGS Outstanding Contribution to Graduate Education Award Dean Service Award Dean’s Scholarly, Research and Creative Activity Award Krishnan actively supervises graduate students and emphasizes student-driven innovation in research. He leads major research initiatives funded through competitive grants, although specific grant details are not listed in the text. His mentorship philosophy centers on collaborative discovery, where students play a pivotal role in shaping breakthroughs. He is deeply committed to advancing graduate education and fostering a dynamic, interdisciplinary research environment. He directs two advanced research facilities: the BioNanointerface Facility and the Ultrashort Laser Nanomanufacturing Research Facility , which support cutting-edge work in nanomaterial synthesis, bio-integrated devices, and ultrafast laser processing. These labs serve as hubs for innovation in quantum probe development and next-generation medical diagnostics.

David Naylorمشاهده پروفایل

استاد

• Heat Transfer
• Convective Heat Transfer
• Laser Interferometry
• +۷ مورد دیگر

Dr. David Naylor is a Professor in the Department of Mechanical, Industrial, and Mechatronics Engineering at Toronto Metropolitan University, Faculty of Engineering and Architectural Science. His research focuses on heat transfer, laser interferometry, and computational fluid dynamics, with applications in energy efficiency and engineering education. He is actively involved in both experimental and numerical investigations of thermal systems. Education: PhD, University of Western Ontario (1992) MESc, University of Western Ontario (1985) BESc, University of Western Ontario (1983) Dr. Naylor's research interests center on convective heat transfer, particularly in building envelopes and nanofluids. He employs advanced optical techniques such as laser interferometry to visualize and quantify thermal fields. His work bridges experimental innovation with computational modeling, contributing to energy conservation and sustainable engineering solutions. He has developed a unique laser interferometer capable of real-time temperature field visualization, one of only a few such instruments in Canada. His recent publications demonstrate a consistent focus on convection modeling, thermal measurement techniques, and building energy performance. Key themes include fenestration systems, isothermal boundary problems, and full-field visualization of nanofluids. These works appear in leading journals such as the International Journal of Thermal Sciences and Energy and Buildings , reflecting strong interdisciplinary engagement. Scientific Awards: Engineering Medal for Research and Development, Professional Engineers Ontario (2014) Fellow, Canadian Academy of Engineering (2013) Fellow, Canadian Society for Mechanical Engineers (2004) Teaching Excellence Award, Faculty of Engineering and Architectural Science (2016) Dr. Naylor has supervised graduate students and is currently available to advise new ones. He serves as Editor-in-Chief of the International Journal of Mechanical Engineering Education , highlighting his commitment to pedagogy. His research has been supported through institutional and professional recognition, though specific grants are not listed. He holds a professional engineering license (PEng) and continues to innovate in both research and teaching. His laboratory work centers on experimental heat transfer using custom-built optical instrumentation. The laser interferometry setup enables high-precision, non-intrusive thermal measurements, forming the core of his research team’s experimental capabilities. This apparatus supports both fundamental fluid dynamics studies and applied energy conservation projects.

Hans Martin Kjerمشاهده پروفایل

دانشیار

• Ultrasound Imaging
• Super-Resolution Imaging
• Biomedical Image Analysis
• +۷ مورد دیگر

Hans Martin Kjer is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU), where he is affiliated with the UltraSound and Biomechanics group within the Visual Computing Center and the Center for Fast Ultrasound Imaging. His research bridges engineering and medical imaging, with a strong emphasis on developing and validating advanced ultrasound techniques for biomedical applications. Research Interests: His work focuses on super-resolution ultrasound imaging, microvascular analysis, 3D reconstruction of biological structures, and image registration. He applies computational methods to improve the resolution and accuracy of ultrasound, particularly in renal and lymph node vasculature imaging. His research contributes to the UN Sustainable Development Goals in health and well-being through innovative diagnostic tools. Publication Trends: Over the past several years, Kjer has consistently published in high-impact journals and conferences in biomedical engineering and imaging. His recent work emphasizes the validation of super-resolution ultrasound against micro-CT, realistic 3D blood flow simulation, and the application of AI in enhancing imaging resolution. These studies reflect a strong trend toward quantitative, reproducible, and clinically relevant imaging solutions. Scientific Contributions: While no specific awards are listed, his leadership in major research projects and frequent collaborations with leading experts in ultrasound (e.g., Jørgen Arendt Jensen) underscore his significant role in the field. Advising and Funding: Kjer serves as a supervisor and principal investigator in several funded research initiatives, including AI for Extreme Super-Resolution CT , 3DIM: 3D Imaging Center , and QIM: Center for Quantification of Imaging Data from Max IV . He mentors PhD students and collaborates across disciplines, contributing to both biomedical and materials science imaging projects. Laboratories and Teams: He is an integral member of the Center for Fast Ultrasound Imaging and the Visual Computing Center at DTU. These teams focus on cutting-edge ultrasound technologies, image processing algorithms, and multimodal imaging integration, positioning Kjer at the forefront of computational biomedical imaging in Denmark.

Katherine Storrsمشاهده پروفایل

مدرس ارشد

• Visual perception
• Deep learning
• Psychophysics
• +۷ مورد دیگر

Katherine Storrs is a Senior Lecturer in the School of Psychology at the University of Auckland, New Zealand. She leads the Computational Perception Lab, where she combines computational modeling and psychophysical experiments to study visual perception. Her research is supported by a Marsden Fast Start grant, and she is actively involved in teaching and academic service. She earned her PhD in Psychological Science from the University of Queensland in 2015 and has held postdoctoral positions at Justus-Liebig University (Germany) and the MRC Cognition and Brain Sciences Unit (Cambridge, UK). She also worked as a Data Scientist at Twitter in London. Dr. Storrs' research focuses on how the visual system interprets material properties such as gloss, shape, and reflectance. She uses unsupervised deep learning models to simulate and predict human perception, particularly in ambiguous or complex visual environments. Her work bridges cognitive science, neuroscience, and artificial intelligence. Her most recent publications explore topics such as gloss perception, mental rotation, face similarity, and the role of statistical learning in shape encoding. These works frequently appear in high-impact journals like Nature Human Behaviour , PNAS , and Current Biology , demonstrating a strong trend toward using computational models to explain perceptual phenomena. Marsden Fast Start Grant (2021) Humboldt Research Fellowship (2019) UK National Finalist, FameLab (2017) Editorial Board Member, Nature Communications Psychology (2023–) Editorial Board Member, OpenMind (2022–) Social Media Editor, Perception and i-Perception (2020–) She supervises graduate students and teaches courses including PSYCH 306 (Research Methods), PSYCH 775 (Visual Perception in Brains and Machines), and PSYCH 109. She also mentors students in honours, master's, and PhD programs. Her lab is actively involved in interdisciplinary collaborations, particularly with researchers in machine learning and computational neuroscience. The lab is funded by the Marsden Fund and supported by access to high-performance computing resources for training deep neural networks.