Find Academic Supervisors

Laura WallerView profile

Professor

• Computational Imaging
• Optics
• Signal Processing
• +6 more

Laura Waller is a Professor in the Department of Electrical Engineering and Computer Science at the University of California, Berkeley, where she leads the Computational Imaging Lab. Her research focuses on integrating hardware and software for optical imaging systems, with applications in microscopy, biomedical imaging, and industrial inspection. She is affiliated with the Berkeley Artificial Intelligence Research Laboratory (BAIR) and the Berkeley Institute of Data Science (BIDS). 2010 Ph.D. in Electrical Engineering and Computer Science from MIT 2005 M.Eng. in Electrical Engineering and Computer Science from MIT 2004 B.S. in Electrical Engineering and Computer Science from MIT Her research spans computational imaging , optics , and machine learning , particularly physics-based approaches for designing imaging systems. Key areas include phase imaging , light-field microscopy , and imaging through scattering . She has pioneered DiffuserCam , a lensless imaging system, and developed space-time reconstruction algorithms for dynamic samples. Her work intersects signal processing , biomedical imaging , and inverse problems . Her recent publications emphasize single-shot 3D imaging , hyperspectral capture , and machine learning-optimized optical design . Notable collaborations include projects with the Lawrence Berkeley National Lab on X-ray and EUV imaging . 2024 : Max Planck-Humboldt Medals 2021 : AIMBE Fellow, OSA Adolf Lomb Medal 2018 : SPIE Early Career Achievement Award 2016 : Carol D. Soc Mentoring Award 2014 : NSF CAREER Award, Moore Investigator in Data Driven Discovery, Packard Fellow, Bakar Fellows Spark Award She mentors graduate students across EECS , Bioengineering , and the Applied Sciences & Technology (AS&T) programs. Her lab has produced alumni who now hold faculty positions at institutions like UT Austin and UCSD.

• Scene Graphs
• Generative Models
• Unsupervised Learning
• +3 more

Azade Farshad is a Lecturer and researcher at the Technical University of Munich (TUM), affiliated with the Chair of Medical Informatics Applications under Prof. Nassir Navab. Her work focuses on advanced computer vision techniques applied to medical imaging and surgical robotics, with expertise in generative models, meta-learning, and scene graph-based systems. She actively contributes to research projects like MIGS (Meta Image Generation from Scene Graphs) and FedAP (Federated Learning for Non-IID Data), and leads initiatives in medical augmented reality and surgical data science. Her teaching portfolio includes courses such as Computer Aided Medical Procedures , Medical Augmented Reality , and Deep Learning for Medical Applications . She supervises master’s theses on topics like meta-learning, semantic image manipulation, and robust machine learning models, with notable students including Caghan Koksal and Sraddha Das. Azade is professionally active in the computer vision and medical imaging communities, serving on the executive committees of the British Machine Vision Association (BMVA) and Women in MICCAI (WiM). She co-organized workshops at CVPR and ICCV, and reviews for top conferences like CVPR, NeurIPS, and MICCAI. Her research labs include the DHM (Deutsches Herzzentrum München), IFL Lab, and NARVIS Lab, where she explores applications in generative AI, surgical data science, and vision-language systems. Key contributions include Y-Net (a medical image segmentation framework) and DisPositioNet (for semantic image manipulation).

Wei ZhangView profile

Academic

• Radiation Dosimetry
• Biomedical Imaging
• Medical Physics
• +5 more

Wei Zhang is a Research Assistant Professor in the Department of Biomedical Engineering at the University of Michigan. His work focuses on advancing medical imaging technologies for radiation therapy, including ionizing radiation acoustic imaging (iRAI) for real-time dosimetry and treatment guidance. He also explores interdisciplinary areas like wireless power transfer systems and machine learning applications in healthcare. PhD in Biomedical Engineering His research interests include radiation dosimetry, multimodal imaging techniques (e.g., ultrasound and X-ray combinations), and their clinical applications in cancer therapy. He has pioneered the development of iRAI for volumetric dose mapping during radiotherapy, enabling precise treatment monitoring deep within tissues like the liver. Additional interests span driver behavior prediction systems and energy-efficient wireless charging solutions. Dr. Zhang received the BEST IN PHYSICS (THERAPY) Award in 2020 for his work on FLASH radiotherapy dosimetry. His contributions bridge biomedical engineering, physics, and clinical oncology, with a focus on translating innovations into practical clinical tools. He advises on grants related to medical imaging and energy systems, though specific grant details are not listed here. His lab is part of the Biomedical Engineering department’s advanced imaging and therapeutic technologies initiatives.

• Vision Rehabilitation
• Neuroscience
• Ocular Biology
• +1 more

Dr. Ben Thompson is a Professor and Director of the School of Optometry and Vision Science at the University of Waterloo, Canada, and CEO/Scientific Director of the Centre for Eye and Vision Research in Hong Kong. He holds adjunct roles at McGill University (Ophthalmology) and an honorary professorship at the University of Auckland (Optometry). His research focuses on human visual cortex plasticity, amblyopia treatment, and vision rehabilitation, with expertise in neuro-ophthalmology and optical technologies. Education: BSc and PhD in Experimental Psychology from the University of Sussex, UK Postdoctoral fellowships at UCLA (Psychology) and McGill (Ophthalmology) Research Interests: Vision rehabilitation, neural plasticity in visual disorders, ocular biology, and advanced optical technologies for vision assessment. His work bridges neuroscience and clinical optometry, emphasizing translational applications for conditions like glaucoma and amblyopia. Teaching: Recently taught OPTOM 628 - Special Topics in Vision Science (2023) and OPTOM 682 - Visual Motor Neuroscience (2024). Lab & Collaborations: Leads the Human Visual Neuroscience Laboratory and collaborates across institutions in Canada, Hong Kong, and New Zealand. Current projects include non-invasive brain stimulation for glaucoma rehabilitation and pediatric amblyopia treatment protocols. Advising & Grants: Approved PhD supervisor with Sole-Supervisory Privilege Status (SSPS). Actively supervises graduate students and engages in clinical trial design for vision therapies.

• Biomedical Engineering
• Signal and Image Processing
• Ophthalmology
• +3 more

Dr David Alonso-Caneiro is an Adjunct Senior Lecturer in the School of Clinical Sciences at QUT’s Faculty of Health, specializing in Optometry and Vision Science. He holds a PhD from QUT (2010) and has held postdoctoral and industry roles, including at Analog Devices Inc. His research focuses on biomedical engineering applications in ophthalmology, particularly signal/image processing for tear film assessment and eye imaging. He leads the Contact Lens and Visual Optics Laboratory and has received the QUT Outstanding Doctoral Thesis Award 2010. His work spans corneal dynamics, optical coherence tomography, and contact lens biomechanics, with over 100 peer-reviewed publications. Professional affiliations include ORCID and Scopus profiles, and he collaborates on projects in Australia and internationally. Education: BEng (Telecommunications, University of Valencia, 2002) with First Class Honours; MEng (Electronics, University of Valencia, 2004). PhD (Optometry, QUT, 2010). Research interests: Development of non-invasive ophthalmic imaging techniques, tear film quality assessment, and application of advanced optics in clinical optometry. Key areas include dynamic-area videokeratoscopy, swept-source OCT, and lateral shearing interferometry. Recent articles emphasize corneal biomechanics under contact lenses, choroidal vascularity changes, and AI-enhanced OCT analysis. Awards include the 2010 QUT thesis award for his work on tear film surface quality. Grants/Advising: Supervises optometry and biomedical engineering research projects. His lab focuses on translating engineering principles to clinical diagnostic tools in eye care. Labs/Teams: Contact Lens and Visual Optics Laboratory at QUT, collaborating with multidisciplinary teams in vision science and biomedical engineering.

Jan van BusschbachView profile

Professor

• Quality of Life
• Psychometrics
• Mental Health
• +12 more

Jan van Busschbach is a Full Professor in the Department of Psychiatry at Erasmus MC, a leading academic medical center in the Netherlands. His work bridges clinical psychiatry, health policy, and patient-centered outcomes research, with strong affiliations to health measurement and quality of life assessment. His research focuses on quality of life , psychometrics , mentalization , and patient-reported outcomes , particularly in mental health and chronic illness. He has led major projects validating and adapting instruments like the EQ-5D across cultures, including in Indonesia and China. His work also extends to oncology support services, lifestyle interventions, and personality disorders, especially borderline personality disorder. The most recent publications highlight a consistent trend in cross-cultural validation of health instruments, systematic reviews of patient-reported outcomes, and participatory research in cancer care. His work emphasizes methodological rigor in psychometrics and a strong commitment to improving patient experience and healthcare decision-making. Scientific Contributions: Extensive research output with 455 publications Supervision of 38 research projects and students Development of decision tools for specialized mental health care Leadership in international validation studies of EuroQol instruments He actively advises and mentors early-career researchers and contributes to major datasets in mental health assessment. While no specific grants are listed, his work appears to be supported by collaborative, multi-institutional research efforts. He is involved in developing tools that inform health policy and clinical practice. Labs and Research Teams: Active research group in psychometrics and quality of life at Erasmus MC Collaborations with international teams in Asia and Europe Contributions to EuroQol Group initiatives Participation in multi-center studies on mental health and oncology

• Otolaryngology
• Temporal Bone Research
• Otitis Media
• +3 more

Sebahattin Cureoglu is an Associate Professor at the University of Minnesota Medical School, Department of Otolaryngology. His research focuses on temporal bone pathology, otitis media, and inner ear diseases, contributing to advancements in hearing and balance disorders. Research Interests Temporal Bone Studies Otitis Media Pathogenesis Inner Ear Malformations Host-Pathogen Interactions in Ear Infections Vestibular System Degeneration Research Trends His recent work explores bacterial infections in otitis media, histopathologic damage in meningitis, and vestibular system degeneration using animal models. Publications highlight collaborations with NIH and translational approaches to auditory nerve implants. Projects & Grants NIH NIDCD Resource Center for Human Temporal Bone Research (2022–2027) NIDCD Temporal Bone, Hearing & Balance Pathology Registry (2019–2025) Intracranial Auditory Nerve Implant Development (2018–2025)

• Mitochondrial Genetics
• Optic Neuropathy
• Neurogenetics
• +3 more

Philip Griffiths is a researcher at Newcastle University specializing in mitochondrial genetics and neurodegenerative eye disorders. His work focuses on the role of mitochondrial DNA mutations in conditions such as Leber hereditary optic neuropathy (LHON), chronic progressive external ophthalmoplegia (CPEO), and dominant optic atrophy linked to OPA1 mutations. Griffiths' research explores disease mechanisms, treatment strategies (e.g., idebenone, steroids), and clinical outcomes in mitochondrial optic neuropathies. He investigates genetic modifiers, neurodegenerative pathways, and multisystemic implications of mitochondrial defects. His publications often involve collaborations with experts like Professor Patrick Chinnery and Professor Gavin Hudson . Recent articles highlight his contributions to understanding mitochondrial dysfunction in optic nerve degeneration, intraocular pressure as a risk factor, and the natural history of OPA1-related disorders. His work bridges genetic analysis with clinical neuro-ophthalmology, emphasizing diagnostic precision and therapeutic innovation.

• Melanopsin Signaling
• Photosensitive Retinal Ganglion Cells
• Ion Channels
• +4 more

Steven Hughes is a Senior Postdoctoral Research Fellow at the University of Oxford, affiliated with the Nuffield Laboratory of Ophthalmology and the Sleep and Circadian Neuroscience Institute . He holds a BSc, MSc, and PhD . Research focuses on melanopsin-based signaling pathways in the retina, particularly phototransduction in photosensitive retinal ganglion cells (pRGCs). Investigates ion channels' role in melanopsin signaling and pRGC excitability. Assesses genetic variations (OPN4 SNPs) and melanopsin-based optogenetic gene therapy for retinal degeneration. His work intersects neuroscience, molecular biology, and ophthalmology , with key themes including TRPM channels in photoreception, optogenetic vision restoration, and circadian rhythm disruption in neurodegenerative diseases like Huntington's. Collaborations include Mark Hankins and Stuart Peirson . Scientific contributions span understanding pRGC function, non-image-forming visual pathways, and translational applications in retinal disorders. No formal awards are listed, but his research drives advancements in photoreceptor mechanisms and therapeutic strategies.

• Vaccinology
• Immunology
• Malaria Vaccines
• +10 more

Dr Ahmed M. Salman is a Senior Immunologist-Vaccinologist and Research Group Leader at the Jenner Institute , University of Oxford, working under Professor Sir Adrian Hill. He is also a Fellow and advisor of Clinical Medicine at Kellogg College , University of Oxford. His role involves leading research on innovative vaccines for infectious and cancerous diseases, with a focus on antigen discovery, vaccine platform development, and clinical translation. Education: BSc in Biochemistry, Ain Shams University, Cairo, Egypt (2006) MSc in Biochemistry (Tuberculosis Immunology and Immuno-diagnosis), Ain Shams University & Statens Serum Institut, Copenhagen, Denmark (2011) DPhil (PhD) in Clinical Medicine, University of Oxford, UK (2015) Research Interests: Dr Salman’s work spans across vaccinology, immunology, molecular biology, and translational medicine . His primary focus is on the design and evaluation of novel vaccine candidates against major human and veterinary pathogens such as Plasmodium falciparum (malaria), Plasmodium vivax , SARS-CoV-2 (COVID-19), and Taenia solium . He employs advanced platforms including viral vector vaccines, viral-like particles (VLPs) , and other delivery systems to induce robust immune responses. His recent research also delves into gene therapy applications in ocular diseases, including retinal degeneration and autoimmune uveitis, utilizing CRISPR/Cas systems and nanoparticle-based delivery . Scientific Contributions & Patents: Co-inventor on three Plasmodium falciparum malaria vaccine patents Contributed to the development of the Oxford-AstraZeneca ChAdOx1 nCov-19 vaccine Lead researcher on novel P. vivax malaria sporozoite vaccine nearing GMP manufacturing Funding & Collaborations: Dr Salman serves as Co-Principal Investigator and Senior Immunologist/Vaccinologist on multiple projects funded by the Bill & Melinda Gates Foundation , European Commission , and Medical Research Council (MRC) . His collaborative network includes the Pirbright Institute , Leiden University Medical Centre , and international consortia. Professional Memberships: British Society for Immunology (BSI) American Society of Tropical Medicine and Hygiene (ASTMH) International Veterinary Vaccinology Network (IVVN) Labs & Teams: Dr Salman leads the Jenner's VLP and Insectary (SRF) team and is a key figure in Professor Sir Adrian Hill’s lab at the Jenner Institute. His group integrates expertise in immunology, bioinformatics, proteomics, and vaccine manufacturing to accelerate preclinical and clinical vaccine development.

• Visual Psychophysics
• Perimetry
• Glaucoma
• +3 more

Peter Jones is a vision science researcher at City, University of London, specializing in developing novel ophthalmic assessment tools. His work focuses on creating accessible vision testing methodologies, including tablet-based perimeters (Eyecatcher), VR/AR impairment simulators (OpenVisSim), and child-friendly assessment protocols. Research Focus: Innovating visual field testing through mobile technology and AI algorithms Quantifying functional vision in retinal diseases (glaucoma, AMD, CRB1-retinopathies) Developing age-appropriate psychophysical tests for pediatric populations Validating real-world vision simulation using VR/AR technologies Publication Trends: Jones' 59+ publications demonstrate consistent focus on translational vision science. Recent work (2020-2025) emphasizes: 1) Home-based monitoring solutions for chronic eye diseases, 2) Child-friendly computerized vision assessments, and 3) Validation of novel perimetry algorithms. His collaborative studies frequently involve clinical validation across diverse populations.

Lin GanView profile

Professor

• Neuroscience
• Molecular Biology
• Genetics
• +4 more

Lin Gan is a Professor at the Medical College of Georgia , with appointments in the Department of Cellular Biology and Anatomy and the Department of Neuroscience and Regenerative Medicine . His research focuses on gene regulation, retinal and inner ear development, and translational applications of mouse models. Ph.D. in Biological and Biomedical Sciences, University of Texas Health Science Center, 1992 B.S. in Biochemistry and Molecular Biology, Zhongshan University, 1985 Dr. Gan's work explores the molecular mechanisms underlying neuronal differentiation, synaptic connectivity, and disease models in the retina and cochlea. His expertise spans CRISPR-Cas9 technology, transcription factor networks, and developmental genetics. Recent publications highlight his contributions to gene editing (prime editing), retinal degeneration (keratoconus models), and neurodevelopmental processes (Lhx, Pou4f1, Isl1 gene interactions). Scientific Recognition: Recipient of the GRA Eminent Scholar Chair in Neuroscience , reflecting his leadership in neuroscience and regenerative medicine.

• Gene Therapy
• CRISPR Gene Editing
• Retinal Diseases
• +3 more

Celia Sourd serves as a Research Fellow within the Nuffield Department of Clinical Neuroscience at the University of Oxford, conducting research in Dr. Kanmin Xue's Retinal Disease and Repair laboratory group. Her academic credentials include: MSc in Biochemistry and Biotherapy from the University of Limoges (2018), specializing in CRISPR-based gene editing techniques PhD from Genethon (Evry, France) focused on developing AAV vector-based gene therapy strategies for muscular disorders Dr. Sourd's research critically examines gene therapy applications for inherited retinal conditions, particularly Retinitis Pigmentosa, with dual emphasis on therapeutic validation and immune response characterization against AAV delivery vectors. Her work bridges molecular biotherapy development with translational immunology challenges in ocular gene therapy. As an active member of the Retinal Disease and Repair laboratory, she contributes to advancing preclinical models for blinding disorders through innovative vector engineering and immune modulation approaches.

Alev CumbulView profile

Assistant Professor

• Histology
• Developmental Biology
• Tissue Engineering
• +4 more

Dr. Alev Cumbul is an Assistant Professor in the Department of Histology & Embryology at Yeditepe University Faculty of Medicine, where she has been since 2011. Her research focuses on tissue engineering, wound healing mechanisms, and molecular pathways in degenerative diseases. PhD in Histology & Embryology (Eskişehir Osmangazi University, 2003-2008) BSc in Veterinary Medicine (Ankara University, 1995-2001) Her scientific work spans histopathology , apoptosis , neuroprotection , and biomaterials development . Recent publications examine pomegranate seed oil's protective effects against colitis-related organ damage and nanoparticle-based wound healing formulations. She supervises graduate students in projects exploring polycystic ovary syndrome and neurodegenerative models . As a principal investigator in multiple funded projects (e.g., TÜBİTAK grants), she has developed novel scaffolds for bone regeneration and evaluated antioxidant therapies. Her 15 most recent articles reveal consistent focus on VEGF signaling , oxidative stress , and stem cell applications across cardiovascular , neurological , and gastrointestinal models. 2024: Poster Mansiyon Award (Yeditepe University) 2022: Best Poster Award (Yeditepe University)

Hai LinView profile

Professor

• Computer Graphics
• Scientific Visualization
• Volume Rendering
• +2 more

Hai Lin is a Professor at the State Key Lab of CAD&CG (Zhejiang University, China). His research spans computer graphics, scientific visualization, volume rendering, virtual reality, and graphical electromagnetic computing. He earned B.Eng and M.Eng degrees from Xidian University (1987, 1990) and a Ph.D. in Computer Science from Zhejiang University. Current Position: Professor, Zhejiang University (1990–Present) Research Fellow, Medical Visualization, De Montfort University (2000–2003) Visiting Professor, University of Bedfordshire Research Focus includes: Medical Imaging: AI-driven tumor segmentation (colorectal, liver), retinal disease classification (SatFormer), and mandible segmentation via LRVRG. Electromagnetic Computing: Shape deformation optimization, GPU-based wave propagation prediction, and scattering analysis. Scientific Visualization: Graph convolutional networks for volume data, voxel2vec representations, and dynamic network exploration. Collaborations involve PhD students (Huan Liu, Yiming Li, YanKai Jiang, Han Wang) and teams at Zhejiang University. His work integrates AI with electromagnetic and medical imaging domains, emphasizing GPU acceleration and novel algorithm design.