Find Academic Supervisors

Roberto Manduchi is a Professor of Computer Science and Engineering at the University of California, Santa Cruz, within the Baskin School of Engineering. His primary affiliation is with the Computer Science and Engineering department where he leads research in assistive technology for visual impairments. He holds a Dottorato di ricerca in Electrical Engineering from the University of Padova, Italy, and previously worked at Apple and NASA JPL before joining UCSC in 2001. His research focuses on mobile computer vision, inertial sensors, and location-aware systems to enhance spatial awareness and information access for blind and low-vision individuals. Key research areas include indoor navigation systems, screen magnification for low-vision readers, obstacle detection using augmented reality, and text accessibility assessment through specialized OCR pipelines. His work bridges computer vision, human-computer interaction, and accessibility design. Analysis of his recent publications (2022-2025) reveals strong emphasis on inertial-based indoor navigation (e.g., PALMS localization system, backtracking algorithms), screen magnification usability studies, and novel approaches to scene text access for blind users. His research consistently targets practical applications for visual impairment, with significant contributions to pedestrian dead reckoning, magnetic signature localization, and gaze-contingent interfaces. Manduchi serves on the scientific advisory board of Aira and is a board member of the Vista Center for the Blind and Visually Impaired. He leads the UCSC Computer Vision Lab where his team develops accessible computing solutions. His work includes both theoretical contributions to computer vision and tangible assistive applications, with recent projects focusing on smartphone-based inertial odometry, multi-scale tactile maps, and real-time obstacle cueing systems.

• Computer Vision
• Assistive Technology
• Human-Computer Interaction
• +2 more

Tim Q. Duong, Ph.D., is a Professor at Albert Einstein College of Medicine, affiliated with the Departments of Radiology, Biochemistry, Ophthalmology & Visual Sciences, and Neuroscience. His research focuses on medical imaging, MRI, image analysis, machine learning, and predictive modeling for studying diseases like COVID-19 , neurodegeneration (Alzheimer's, multiple sclerosis), brain injuries , and breast cancer . Develops AI-driven MRI techniques for early disease detection Investigates neuroplasticity in glaucoma and diabetic retinopathy Leads grants from NIH and National Eye Institute Research Trends : Recent publications emphasize AI integration in medical imaging, long-term effects of SARS-CoV-2, and advanced MRI applications for ocular and neurological disorders. Grants include multiple R01 awards for diabetic retinopathy and glaucoma studies. Training Opportunities : Actively recruits postdocs, research coordinators, and faculty. Offers research positions for graduate, medical, and high school students, including Regeneron Scholar programs. Labs & Teams : Leads the Duong Lab at Montefiore Medical Center, focusing on translational research for clinical imaging solutions.

• Medical Imaging
• MRI
• Image Analysis
• +9 more

Lucia Carichino is an Assistant Professor in the School of Mathematics and Statistics at Rochester Institute of Technology (RIT). She holds a PhD in Mathematics from Purdue University and a BS/MS in Mathematical Engineering from Politecnico di Milano, Italy. Her research focuses on mathematical and computational models of multiscale biological systems, particularly fluid-structure interaction in biological contexts like ocular blood flow and microswimmers. She emphasizes integrating experimental data with mathematical models to advance medical understanding. Carichino teaches courses such as Differential Equations, Linear Algebra, and oversees undergraduate research projects. In 2023, she received the National Science Foundation LEAPS-MPS award for her work on computational modeling of eye-contact lens interactions. Her research has been published in high-impact journals and presented at conferences. She actively collaborates on projects addressing glaucoma, ocular hemodynamics, and biomedical applications. Education: PhD in Mathematics, Purdue University BS and MS in Mathematical Engineering, Politecnico di Milano, Italy Research interests include fluid dynamics, numerical methods, and mathematical biology. Her work bridges theoretical models with biomedical applications, such as optimizing gene therapy delivery and analyzing ocular physiology under varying environmental conditions (e.g., altitude). She explores topics like sperm motility, computational simulations of biological systems, and the interplay between fluid dynamics and biological structures. Her recent articles highlight advancements in ocular pharmacokinetics, contact lens interactions, and altitude effects on intraocular pressure. These studies underscore her expertise in multiscale modeling and fluid-structure interaction. Carichino also contributes to educational initiatives, fostering a collaborative classroom environment. Notable awards include the NSF LEAPS-MPS award (2023). She advises student research projects and collaborates with colleagues, such as Maki, on interdisciplinary studies. Her work is supported by grants and has led to presentations at ophthalmology and mathematics conferences. Carichino’s lab focuses on computational modeling of biological systems, particularly in ophthalmology and microscale fluid dynamics. Her team develops tools to simulate complex physiological processes, aiding in medical diagnostics and treatment strategies.

• Mathematical Biology
• Fluid Dynamics
• Numerical Methods
• +5 more

Gregory D. Hager is the Mandell Bellmore Professor of Computer Science at Johns Hopkins University, with joint appointments in Electrical and Computer Engineering, Mechanical Engineering, and the Department of Surgery at the School of Medicine. He serves as the head of the NSF's Computer and Information Science and Engineering Directorate (as of 2024) and is the founding director of the Johns Hopkins Malone Center for Engineering in Healthcare. Previously, he chaired the Department of Computer Science from 2010-2015 and served as deputy director of the NSF Engineering Research Center for Computer-Integrated Surgical Systems and Technology. Hager's research focuses on collaborative and vision-based robotics, time-series analysis of image data, and medical applications of image analysis and robotics. His work spans surgical robotics, human-machine collaboration, and computer vision with applications in healthcare. As director of the Computational Interaction and Robotics Lab (CIRL), he investigates dynamic spatial interaction at the intersection of imaging, robotics, and human-computer interaction. His research has led to real-world applications in surgical training, medical imaging, diagnostics, and computer-enhanced interventional medicine. Hager's publications demonstrate consistent advancement in surgical data science, with recent work focusing on 3D reconstruction from endoscopic video, surgical skill assessment using AI, and robotic assistance in neurosurgery. His research trajectory shows increasing integration of deep learning with surgical robotics, particularly in real-time guidance systems and objective skill assessment metrics. IEEE Fellow MICCAI Fellow ACM Fellow AIMBE Fellow AAAS Fellow MICCAI Best Paper Award (2006) Fulbright Junior Faculty Award (1988) Morris Ruben Outstanding Dissertation Award (1988) Hager has advised numerous PhD students who have become leaders in computer vision and medical robotics. His lab has secured significant research funding, including NSF Engineering Research Center support. He co-founded two successful startups: Clear Guide Medical (ultrasound-guided procedures) and Ready Robotics (industrial robot usability). As chair of the Computing Community Consortium and member of the International Federation of Robotics Research board, he has shaped national research agendas in computing and robotics. Hager leads the Computational Interaction and Robotics Lab (CIRL), which is associated with the NSF Engineering Research Center for Computer-Integrated Surgical Systems and Technology (ERC-CISST) and the Laboratory for Computational Sensing and Robotics (LCSR). His team collaborates extensively with clinicians at Johns Hopkins Hospital to translate robotics research into clinical practice.

• Robotics
• Computer Vision
• Human-Machine Interaction
• +3 more

Clinical Associate Professor Keith Ong is affiliated with the University of Sydney’s Northern Clinical School, specifically within the Department of Clinical Ophthalmology & Eye Health. His clinical specialty is Ophthalmology, with a focus on corneal endothelial health, glaucoma surgery outcomes, and cataract surgical techniques. His research addresses critical areas such as postoperative ocular toxicity, intraocular lens calculations, and infection control in eye surgeries. Dr. Ong’s publications (2011–2023) consistently explore topics like corneal endothelial changes post-trabeculectomy, refractive error management post-cataract surgery, and antibiotic prophylaxis strategies. Recent work emphasizes optimizing surgical techniques to reduce complications, such as BAK-induced corneal toxicity and IOL power calculation accuracy in LASIK patients. His work demonstrates a focus on improving surgical safety and precision, with studies evaluating alternative antibiotic delivery methods and laser therapy impacts. No awards or grants are explicitly noted in the provided text, but his contributions to clinical practice and surgical protocols are evident through his publication record.

• Ophthalmology
• Corneal Endothelial Health
• Cataract Surgery Outcomes
• +3 more

Darryl Overby is a Professor of Mechanobiology in the Department of Bioengineering at Imperial College London's Faculty of Engineering. His academic affiliations include the CRUK Convergence Science Centre, Cancer Technology Network, and multiple interdisciplinary networks focused on ocular biomechanics, vascular science, and regenerative medicine. He holds an Orcid identifier (0000-0001-9894-7515) and was previously affiliated with Tulane University and Harvard Medical School. Education: Ph.D. in Mechanical Engineering (2002) from MIT under Prof. Roger Kamm, followed by postdoctoral research at Harvard Medical School under Prof. Donald Ingber. His work focuses on cellular biomechanics, mechanotransduction, and the role of mechanical forces in intraocular pressure regulation and glaucoma pathophysiology. Research interests span mechanobiology of Schlemm’s canal endothelial cells, nitric oxide signaling in ocular tissues, and development of organ-on-chip models for studying aqueous humor outflow dynamics. His lab explores how mechanical signals drive transcellular pore formation and how these mechanisms fail in glaucomatous conditions. Key contributions include consensus guidelines for Brillouin microscopy measurements, ex vivo perfusion studies, and the role of TRPV4 channels in mechanosensing. His work integrates engineering techniques with clinical ophthalmology to advance therapies targeting glaucoma and ocular hypertension. Professional activities include leadership roles in the Ocular Biomechanics Network and Wound Healing and Regeneration Network. His research has led to patents for devices enhancing aqueous humor drainage and RNAi-based therapies.

• Mechanobiology
• Ophthalmology
• Biomedical Engineering
• +4 more

Professor Maryse Bailly is a Professor of Cell Biology at the UCL Institute of Ophthalmology, University College London, where she has been employed since December 2000, progressing from Lecturer to Reader/Associate Professor and finally to Professor in October 2020. Her research focuses on understanding fibroblast behavior in the context of ocular diseases, scarring, and fibrosis, with particular emphasis on cytoskeletal dynamics and mechanotransduction pathways. Education: Doctor of Philosophy, Universite Claude Bernard (Lyon 1), 1992 Diplome Universitaire de Technologie, Universite Claude Bernard (Lyon 1), 1983 Professor Bailly's research program investigates how fibroblasts sense and respond to mechanical and chemical stimuli in their environment, with applications to multiple ocular pathologies including trachoma, thyroid eye disease, glaucoma scarring, and myopia. Her laboratory has developed innovative in vitro and ex vivo models that allow the study of tissue contraction mechanisms within pseudo-physiological 3D environments, leading to the identification of novel therapeutic targets such as the Rac1 small GTPase and the MRTF/SRF pathway. She has established significant collaborations with clinicians at Moorfields Eye Hospital, particularly with Dr. Annegret Dahlmann-Noor on pediatric eye growth and myopia research. Analysis of Professor Bailly's publication record reveals a consistent focus on fibroblast mechanobiology with increasing emphasis on pediatric ocular development in recent years. Her work bridges fundamental cell biology with translational applications, particularly in understanding the biomechanical properties of fibroblasts in myopia development and post-surgical scarring. The research demonstrates strong interdisciplinary connections between ophthalmology, cell biology, and tissue engineering. Teaching: CELL0016 - Actin cytoskeleton and Intermediate Filaments CELL0017 - Fibrosis and mechanotransduction CELL0009 - Models organisms and techniques MECH0031 MSc Biomaterials & Tissue Engineering - Modeling tissue contraction and fibrosis

• Cell Biology
• Ophthalmology
• Fibrosis
• +5 more

Professor Arcot Sowmya is a distinguished academic at the University of New South Wales, serving as Professor in the School of Computer Science and Engineering. With a strong background in both computer science and mathematics, she has established herself as a leading researcher in machine learning and computer vision applications, particularly in medical imaging and diagnostics. Dr. Sowmya earned her PhD in Computer Science from the Indian Institute of Technology, Bombay, along with an MTech in Computer Science, MSc in Mathematics, and BSc in Mathematics from the same institution. Her academic journey has positioned her at the intersection of theoretical computer science and practical medical applications. Her research interests span multiple domains with a primary focus on Machine Learning for Computer Vision . She has made significant contributions to learning object models, feature extraction, segmentation, and recognition techniques. Her work extends into medical image analysis, computer-aided diagnostics, high-resolution remote sensing, and biomedical informatics. More recently, she has applied similar techniques to social sciences domains, developing improved forecasting models for genocide and politicide. Her earlier work also includes contributions to real-time, concurrent, and embedded systems. Analyzing her recent publications reveals a strong trend toward medical applications of computer vision and deep learning. Her work spans from OCT-based glaucoma diagnosis to tumor segmentation, lung disease detection, and breast cancer prognosis. She has successfully bridged computer science with clinical medicine, developing practical tools for disease diagnosis and prediction that incorporate explainable AI approaches. Professor Sowmya's collaborative approach is evident in her extensive publication record across multiple journals and conferences. She has worked with researchers from diverse fields including ophthalmology, oncology, neurology, and public health, demonstrating the interdisciplinary nature of her research. Her laboratory work focuses on developing robust deep learning architectures for medical image analysis, with particular attention to segmentation networks, transformer models, and multimodal data fusion techniques. Her team has developed specialized networks for lung segmentation, tumor detection, and disease classification that address specific challenges in medical imaging.

• Machine Learning
• Computer Vision
• Medical Image Analysis
• +7 more

Yunlan (Emma) Zhang is an Assistant Professor in the Department of Civil, Architectural, and Environmental Engineering at the University of Texas at Austin, part of the Cockrell School of Engineering. Her research focuses on architected materials, deployable structures, nature-based solutions, and extraterrestrial materials. She holds a B.S. from The Ohio State University (2012), M.S. and Ph.D. from Purdue University (2014, 2019), and completed a postdoc at the University of Oxford (2022). Her work bridges mechanical metamaterials with biomedical and environmental applications, including deployable medical devices and sustainable infrastructure. Education: B.S., The Ohio State University, 2012 M.S., Purdue University, 2014 Ph.D., Purdue University, 2019 Postdoc, University of Oxford, 2022 Her research interests emphasize biomimetic materials inspired by natural systems (e.g., avian feathers) and their translation into engineered solutions. Current projects include developing lightweight superalloys for aerospace, shape-memory materials for medical devices, and artificial reefs for marine conservation. She leads the UT Metamaterials and Advanced Structures Lab (UTMASLab), accessible at https://sites.utexas.edu/utmaslab/ . Recent publications explore novel applications of architected materials in healthcare, disaster-resistant structures, and environmental sustainability. Her work frequently appears in top journals across mechanical engineering, materials science, and biomedical engineering disciplines.

• Architected Materials
• Mechanical Metamaterials
• Deployable Structures
• +3 more

Gary M. Shaw is the Rosemarie Hess Professor and Professor (Research) at Stanford University , with courtesy appointments in the Department of Epidemiology and Population Health and Department of Obstetrics & Gynecology - Maternal Fetal Medicine . He serves as Co-PI of the March of Dimes Prematurity Research Center at Stanford and PI of the California Center for Finding Causes and Preventives of Birth Defects . His research focuses on the Epidemiology of birth defects Gene-environment interactions in perinatal outcomes Nutritional factors in reproductive health . He has developed machine learning approaches for precision parenteral nutrition and predictive models for preterm birth, while investigating persistent metabolomic signatures following hypertensive pregnancy disorders. Shaw's recent work explores Climate change impacts on reproductive health Maternal-fetal immune interactions Epigenetic mechanisms in perinatal disease with applications of multiomics to neonatal intensive care units. As a member of Bio-X and the Maternal & Child Health Research Institute , he contributes to translational research networks while serving as Associate Editor for Birth Defects Research and American Journal of Medical Genetics . He supervises Med Scholar Project student Richard Liang Doctoral co-advisor for Saskia Comess and Richard Liang Master's advisor for Lenae Joe while leading the Division of Neonatology as Associate Chair for Clinical Research (2012-2025). His laboratory work integrates Metabolomic profiling Proteomic analysis Computational modeling Machine learning for biomedical data to advance neonatal care through precision medicine approaches.

• Epidemiology of Birth Defects
• Gene-Environment Interactions in Perinatal Health
• Nutrition and Reproductive Outcomes
• +4 more

Anja Liekfeld serves as Adjunct Professor of Ophthalmic Optics/Optical Device Technology at Brandenburg University of Technology since 2018 while concurrently holding the position of Chief Physician at Klinikum Ernst von Bergmann's Department of Ophthalmology in Potsdam since 2009. Her dual roles bridge academic research in optical engineering with clinical ophthalmology practice, focusing on technological advancements for eye care delivery. Her educational foundation includes medical studies at Essen and Berlin Universities (1986-1992), state examination (1992), ophthalmology residency at Charité (1994-1997), specialist certification (1997), doctoral degree magna cum laude (1997), and habilitation on capsular bag models for cataract research (2007). Liekfeld's research centers on optical properties of intraocular lenses, clinical applications of medical devices in ophthalmology, refractive surgery techniques (laser and IOLs), cataract surgery technologies, glaucoma diagnostics/therapy, and gerontological ophthalmology. Her work emphasizes translating engineering principles into clinical solutions for complex vision correction challenges. Over 25 years of publications reveal evolving expertise from molecular glaucoma research to advanced IOL development. Recent work focuses on multifocal/toric lenses, dysphotopsia analysis, and visual outcomes measurement, demonstrating consistent innovation at the optics-clinical interface with practical applications for patient care. Her accolades include: DOG/SFO Travel Grant (2000) DGII Best Presentation Award (2008) DOC Gold Medal (2011) Focus Magazine Top Doctor (2013-2021) Stern Magazine Top Doctor (2022) As an educator, she trains surgical assistants, diet technicians, and operating room staff while teaching ophthalmology to visually impaired pedagogy students at Humboldt University. She conducts international wet labs for surgeons and optometrists, serves on editorial boards for Concept and Karger Kompass Ophthalmologie, and reviews for major ophthalmology journals. Active in professional societies including DGII, ESCRS, DOG, BBAG, and BDOC, she chairs Brandenburg's Ophthalmology Examination Board since 2021 and serves on the board of Die Augenchirurginnen e.V. Her research utilizes human capsular bag models for cataract studies and maintains focus on improving optical device performance in clinical settings.

• Ophthalmology
• Optical Device Technology
• Refractive Surgery
• +3 more

Dr. Alex Black is an Associate Professor in the School of Optometry & Vision Science at Queensland University of Technology (QUT), Faculty of Health. He serves as Course Coordinator for the Master of Optometry program and leads the Vision and Everyday Function research group within QUT's Centre for Vision and Eye Research. His expertise spans vision science, ageing-related vision decline, falls prevention, and driving safety. Dr. Black holds dual qualifications: a PhD in Vision Science (QUT, 2010) and a Masters of Public Health (University of Queensland, 2012). Teaching roles: Coordinates OP85 Master of Optometry program Research focus: Vision impairment impacts on mobility, driving safety, and academic performance Awards: FAAO (Fellow of American Academy of Optometry), FHEA (Fellow of Higher Education Academy) Research highlights include AUD $3.2 million in grants, over 100 publications, and contributions to international journals like Clinical & Experimental Optometry . His work bridges clinical practice and research, addressing real-world issues through innovative studies such as night-time pedestrian safety clothing design and advanced driver assistance system (ADAS) usability for older adults. Key collaborations include NHMRC-funded projects on injury prevention and Vision and Driving research laboratory studies. Dr. Black also serves editorial roles for Clinical & Experimental Optometry and peer review activities.

• Vision science
• Ageing and vision
• Falls prevention
• +5 more

Ignacio Provencio is a Professor of Biology at the University of Virginia. His research focuses on melanopsin-based photoreception and its role in non-visual light responses, including circadian rhythm regulation, fear modulation, and glaucoma pathophysiology. His lab investigates melanopsin signaling pathways and their broader implications for vertebrate physiology. Education: B.A., Swarthmore College, 1987 Ph.D., University of Virginia, 1996 Postdoctoral Research, Uniformed Services University, 1996–1999 Key research interests include: Melanopsin phototransduction mechanisms Role of intrinsically photosensitive retinal ganglion cells (ipRGCs) in non-image-forming vision Impact of light on circadian rhythms and neurodegenerative diseases like glaucoma Light’s influence on fear behavior and weight regulation Recent work highlights: ipRGC survival in glaucoma models Melanopsin’s role in weight loss under dietary challenges Clinical applications of melanopsin-based light therapy His research spans in vivo and in vitro studies, integrating molecular, cellular, and behavioral approaches to understand light’s multifaceted effects on physiology.

• Circadian Rhythms
• Neuroscience
• Photobiology
• +3 more

Professor Emanuele (Manuel) Trucco is the NRP Chair of Computational Vision in the Department of Computing, School of Science and Engineering, at the University of Dundee. He holds additional roles as an Honorary Clinical Researcher at NHS Tayside and formerly served as an Adjunct Professor at the Chinese Academy of Sciences from 2018 to 2021. He earned his MSc and PhD in Electronic Engineering from the University of Genoa, Italy, in 1984 and 1990, respectively. His research focuses on medical image and data analysis, particularly in retinal imaging, using machine and deep learning techniques. He is co-director of VAMPIRE, a major international initiative in retinal image analysis, which supports biomarker studies in cardiovascular disease, diabetes, dementia, and neurodegenerative disorders. His recent work includes AI-driven tools for predicting dementia from brain scans and cardiovascular risk from retinal images. The latest publications reflect strong trends in applying deep learning to retinal and brain imaging for early disease detection, with themes centered on AI in healthcare, precision medicine, and non-invasive diagnostics. FRSA (Fellow of the Royal Society of Arts) FIAPR (Fellow of the International Association for Pattern Recognition) Professor Trucco has led and co-led significant research projects funded by EPSRC, NIHR, and EU programs. He has supervised PhD students through industry-sponsored studentships (e.g., OPTOS, NIDEK, Toshiba) and collaborated with institutions such as the Universities of Edinburgh and Liverpool. His research is supported by extensive industrial partnerships including Canon Medical, Epipole plc, and NIDEK. He is a key member of the UK Biobank Eye and Vision Consortium and co-director of the VAMPIRE initiative, a collaborative effort between the Universities of Dundee and Edinburgh focused on retinal image analysis. His work also involves participation in major research networks such as the Academic Health Science Partnership in Tayside.

• Computer Vision
• Medical Image Analysis
• Retinal Image Analysis
• +7 more

Jung Soo Lim is an Assistant Professor in the Department of Computer Science at California State University, Los Angeles, within the College of Engineering, Computer Science, and Technology. He earned his B.S. from Cal State LA and M.S. and Ph.D. from UCLA, returning to his alma mater as a part-time lecturer in 2014 before transitioning to a full-time assistant professor role in 2019. Education: B.S. (Cal State LA), M.S. (UCLA), Ph.D. (UCLA) His research focuses on Internet of Things (IoT) , Cyber-Physical Systems , Wireless Networking , Software Engineering , and Medical Computing . He has active projects in IoT applications for healthcare, urban safety, and wastewater monitoring, including the Center for Inclusive Computing (CIC) Transfer Pathways Project. Recent publications highlight interdisciplinary work bridging IoT, healthcare diagnostics, and smart city infrastructure. Notable topics include stroke detection algorithms , IoT communication protocols , and sensor-based environmental monitoring . Scientific Awards: Outstanding Senior at Cal State LA (1997) He teaches core computer science courses such as Computer Programming Fundamentals and Analysis of Algorithms, and actively mentors graduate students. His lab focuses on developing embedded systems and IoT solutions for real-world challenges.

• Internet of Things
• Cyber-Physical Systems
• Wireless Networking
• +6 more