جستجوی استاد راهنمای دانشگاهی

Professor Guy Williams is a leading academic at the University of Cambridge with a focus on imaging science and clinical neurosciences, affiliated with Downing College and the Wolfson Brain Imaging Centre . Holding a PhD in Physics from his initial Natural Sciences degree, he specializes in nuclear magnetic resonance (NMR) and MRI techniques for brain imaging. Education: BA, PhD in Physics His research centers on non-invasive imaging of brain structure and function, particularly in traumatic brain injury (TBI) and dementia. His work involves developing novel MRI pulse sequences and advanced data analysis algorithms, including AI-based diagnostic tools. He leads studies on white matter integrity post-trauma, longitudinal dementia assessment, and applications of MRI in disorders of consciousness and addiction. Recent publications highlight collaborations in traumatic brain injury outcomes, AI-guided dementia prediction, and neuroimaging of post-COVID cognitive deficits. His team's work on ultra-high field laminar fMRI and distortion correction methods has advanced clinical neuroscience applications. Key techniques include diffusion tensor imaging (DTI), 7 Tesla MRI, and positron emission tomography (PET/MR). His research spans from basic NMR physics to clinical translation, with a strong emphasis on multi-site studies and real-world diagnostic implementation.

• Nuclear Magnetic Resonance (NMR)
• In vivo imaging
• MRI pulse sequence development
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Colin J Akerman is Professor of Neuroscience and Group Leader in the Department of Pharmacology at the University of Oxford, concurrently serving as Corange Fellow and Medical Tutor at Corpus Christi College. His research investigates fundamental mechanisms of synaptic circuit formation and plasticity, with direct implications for epilepsy, dementia, and schizophrenia through multidisciplinary approaches integrating electrophysiology, optical imaging, and computational modeling. His primary research interests encompass Synaptic Plasticity, Neural Circuit Formation, and Excitatory-Inhibitory Balance, with specific focus on neuronal progenitor influences on connectivity, chloride dynamics in inhibitory transmission, and learning mechanisms in disease contexts. The lab employs custom-built equipment and molecular tools to probe synaptic function across in vivo , in vitro , and in silico platforms, emphasizing how activity-dependent processes shape neural networks during development and disease. Recent publications (2023-2025) reveal strong thematic convergence on intracellular chloride regulation in sleep-wake cycles, cortical circuit assembly from embryonic progenitors, and innovative optical tools for neural monitoring. This work bridges molecular neuroscience with systems-level understanding of synaptic plasticity, particularly regarding ionic mechanisms in epilepsy and sleep homeostasis. No scientific awards or fellowships are explicitly documented in the source materials. Professor Akerman currently mentors four PhD students (Vourvoukelis, Selfe, Wang, Gemayel) and multiple postdoctoral researchers, having previously trained scientists now leading independent groups in Toronto, Edinburgh, Cape Town, Oxford, and London. His research is funded by the European Research Council, Innovative Medicines Initiative, and Wellcome Trust, supporting investigations into synaptic mechanisms underlying neurological disorders. The Akerman Group, established in 2008, operates as an integrative neuroscience hub within Oxford's Pharmacology Department. The 10-member team combines expertise in patch-clamp electrophysiology, optogenetics, multiphoton imaging, and computational modeling, with current projects spanning neuronal progenitor biology, inhibitory synaptic plasticity, and learning rule implementation in neural networks. The lab emphasizes technical innovation, regularly developing custom instrumentation and molecular tools for neural observation and manipulation.

• Neuroscience
• Synaptic Plasticity
• Neural Circuit Formation
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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
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Dr. Tim Halim is a Sir Henry Dale Fellow and Junior Group Leader at the Cancer Research UK Cambridge Institute (CRUK Cambridge Institute), University of Cambridge. His primary research program focuses on pancreatic cancer, with thoracic cancer as a secondary research focus within the CRUK Cambridge Centre's structured research programs. Dr. Halim's research expertise lies at the intersection of cancer biology and immunology, with particular emphasis on innate lymphoid cells (especially ILC2) and regulatory T cells within the tumor microenvironment. His work investigates how these immune cell populations interact with cancer cells and influence tumor progression, metastasis, and response to therapy. His research has significant implications for developing novel immunotherapeutic approaches for pancreatic and thoracic cancers. His publication record demonstrates a consistent focus on the role of innate lymphoid cells in cancer, with recent work examining IL-33 and ILC2 in pancreatic cancer, cross-talk between ILC2 and regulatory T cells, and the influence of innate lymphoid cells on pancreatic stromal composition. His research employs advanced techniques including in vivo labeling, single-cell analysis, and fate-mapping approaches to understand immune cell behavior in cancer contexts. Dr. Halim has been awarded the prestigious Sir Henry Dale Fellowship, a joint fellowship from the Royal Society and Wellcome Trust that supports early-career researchers of outstanding promise working at the interface of basic and clinical science.

• Cancer Immunology
• Innate Lymphoid Cells
• Regulatory T Cells
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Dr. Xin Zhou is an Oxford-Bristol Myers Squibb Fellow at the Department of Computer Science, University of Oxford. Her research integrates computational modeling, clinical data, and experimental findings to investigate cardiac disease mechanisms and develop human-based simulations for drug evaluation. BSc and MSc in Life Sciences, Beijing Normal University DPhil in Computational Biology, University of Oxford Her work focuses on multi-scale cardiac modeling , particularly in ischemic heart disease and heart failure, exploring ionic currents, tissue conduction, and organ-level dynamics. She develops electromechanical simulations to study cardiac alternans and arrhythmic risks, translating these into clinical applications for patient stratification and pharmaceutical testing. Recent publications emphasize in silico clinical trials , sex-specific cardiometabolic analysis, and Purkinje network modeling. Collaborative efforts with clinicians and pharmaceutical partners highlight her translational approach to regulatory science. Model of the Year 2024, BioModels EPSRC Impact Acceleration Account Microsoft Research Project Award Recognition Award, University of Oxford She supervises PhD and MSc students in computational cardiology, while serving on the editorial board of Frontiers in Physiology . Her current projects involve digital twinning and predictive cardiac safety models to reduce animal testing reliance.

• Computational Biology
• Health Informatics
• Cardiovascular Disease Modeling
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Vicente Grau Colomer is a Professor of Engineering Science and Biomedical Image Analysis at the University of Oxford, affiliated with the Institute of Biomedical Engineering. He serves as Director of the Centre for Doctoral Training in Healthcare Innovation and a Professorial Fellow at Mansfield College. His work bridges biomedical engineering, medical imaging, and artificial intelligence. Education: PhD in medical image analysis from Universidad Politécnica de Valencia, Spain. Postdoctoral research at Harvard University and LSU Health Sciences Center. Joined Oxford in 2004, awarded full professorship in 2015. Research focuses on medical image analysis, AI-driven diagnostics, and collaborations between academia, industry, and clinicians. Notable tools include the MSP-tracker software for cellular analysis and advancements in bone marrow fibrosis quantification. Recent articles highlight interdisciplinary efforts in AI applications, MPN pathophysiology, and biomedical software development. Awards include recognition as a Professor at Oxford. Advising: Leads the Healthcare Innovation CDT and mentors students in biomedical engineering. Active in Oxford’s e-Research Centre and Systems Approaches to Biomedical Sciences CDT. Collaborates globally to translate research into clinical solutions.

• Biomedical Image Analysis
• Medical Image Analysis
• Artificial Intelligence in Healthcare
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Dr. Danial Chitnis is a Chancellor's Fellow and Lecturer in Electronics at the School of Engineering, University of Edinburgh. He holds a DPhil in Engineering Science from the University of Oxford (2013) and has expertise in microelectronics, biomedical engineering, and quantum imaging. His research focuses on SPAD arrays, time-of-flight sensors, and wearable optical systems for biomedical applications. Education: BSc in Electronics Engineering, Chamran University of Ahvaz (2002–2007) MSc in Advanced Microelectronics Systems Engineering, University of Bristol (2007–2008) DPhil in Engineering Science, University of Oxford (2009–2013) Research Interests: Single-Photon Avalanche Diode (SPAD) arrays for optical communications and biomedical imaging Quantum-enhanced imaging via QuantIC Hub Wearable sensors for near-infrared spectroscopy (NIRS) AI-driven automation in test and measurement systems Articles Trends: Recent work emphasizes AI integration in electronics design, photon-counting receivers for 6G networks, and portable biomedical devices. Notable contributions include SYCL-based acceleration of circuit simulations and FPGA-driven time-to-digital converters. Grants & Collaborations: Principal Investigator of multiple grants, including EPSRC-funded projects on AI-enhanced human-machine interfaces and quantum technology applications. Collaborates with UCL, QuantIC, and industry partners like Keysight Technologies. Labs/Teams: Co-investigator at QuantIC, the UK Quantum Technology Hub in Quantum Enhanced Imaging. Leads interdisciplinary research on detector arrays and systems for quantum physics and consumer cameras.

• Microelectronics
• Biomedical Engineering
• Quantum Technology
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Christos Tapeinos is a Lecturer in Pharmaceutical Sciences at the University of Manchester, specializing in pharmaceutical nanotechnology for treating brain diseases (e.g., glioblastoma, neuroinflammation) and pancreatic cancer. His research focuses on developing smart nanomedicines, advanced in vitro models (e.g., fluidic systems mimicking brain environments), and stimuli-responsive nanomaterials to overcome biological barriers like the blood-brain barrier. He leads the development of skin-mimicking models for subcutaneous drug delivery as a Co-Investigator in the HALo program. Education: Docent in Pharmaceutical Nanotechnology (2022) PhD in Materials Science (2013) MSc in Materials Science (2010) BSc in Materials Science (2006) Research Interests: Drug delivery systems, nanoparticle engineering, in vitro disease models, biomimetic materials, and translational nanomedicine. He integrates nanotechnology with precision medicine to address complex diseases. Recent Articles Trends: Focus on nanoparticle-cell interactions, phototherapy systems, graphene-cerium oxide hydrogels, and targeted theranostics. Highlights include ROS-scavenging systems and multi-stage nanovectors for CNS pathologies. Awards: Marie Skłodowska-Curie Actions Fellowship. Grants/Projects: Supported by EPSRC, The Royal Society, and Translation Manchester. Active in the Hub for Long-Acting Technologies (2024–2030). Labs/Teams: Leads research groups developing fluidic BBB models, skin-mimicking drug diffusion systems, and nanomaterial-based therapies.

• Pharmaceutical Nanotechnology
• Drug Delivery Systems
• Brain Diseases (Glioblastoma, Neuroinflammation)
• +۵ مورد دیگر

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
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Professor Denis Doorly is a Professor of Fluid Mechanics in the Department of Aeronautics at Imperial College London's Faculty of Engineering. His research focuses on biomedical fluid mechanics, particularly respiratory and cardiovascular systems, with expertise in computational fluid dynamics (CFD) and aerosol transport. He has published extensively on nasal airflow modeling, cardiovascular MRI simulations, and aerosol dynamics in medical contexts. Key contributions include CFD cohort studies on nasal decongestion effects, benchmarking models for SARS-CoV-2 transmission, and ventilator strategies during the pandemic. Research interests span biological fluid mechanics, biomedical flows, and medical device design. His work integrates computational modeling with clinical applications, addressing issues like tracheal compression, myocardial perfusion, and aerosol extraction during surgeries. Collaborations include studies on isolated heart models and particle deposition in respiratory systems. Affiliations include the Biological Fluid Mechanics and Biomedical Flows groups at Imperial. His publications (139+ articles) highlight interdisciplinary applications of fluid mechanics to healthcare challenges.

• Fluid Mechanics
• Biomedical Flows
• Computational Fluid Dynamics (CFD)
• +۳ مورد دیگر

Benjamin Simons is the Royal Society EP Abraham Professor and Herchel Smith Professor of Physics at the University of Cambridge. He serves as Director of the Gurdon Institute, Senior Group Leader at the Gurdon Institute, Principal Investigator at the Cambridge Stem Cell Institute, and member of the Theory of Condensed Matter physics group. He is also a Fellow of St. John's College, Cambridge. His research integrates quantitative approaches from physics and mathematics with experimental biology to investigate stem cell fate regulation in tissue development, maintenance, and cancer pathogenesis. Research focuses on: Stochastic cell fate decisions in epithelial tissues Self-organization principles in tissue morphogenesis Single-cell lineage tracing and gene expression analysis Mathematical modeling of stem cell dynamics Cancer initiation through stem cell reprogramming Publication analysis reveals consistent themes: spatial dynamics of stem cell niches, mechanical regulation of cell fate, computational modeling of tissue organization, and evolutionary principles in cancer development. Recent work emphasizes in vivo lineage tracing, single-cell omics, and interdisciplinary approaches bridging physics and biology. Scientific Awards: Fellow of the Royal Society (FRS) Fellow of the Academy of Medical Sciences (FMedSci) Leads an interdisciplinary research group combining wet-lab experiments (lineage tracing, single-cell genomics) with theoretical modeling. Research supported by EPSRC, MRC, Wellcome Trust, Cancer Research UK, and Royal Society grants. Current projects include gliomagenesis mechanisms, spermatogenic wave regulation, and injury response pathways co-opted in cancer.

• Stem Cell Biology
• Developmental Biology
• Cancer Biology
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Amir Farokh Payam is a Senior Lecturer in Electronics and Software at the School of Engineering, Ulster University, UK since 2019. He holds a PhD in Electronics Engineering-Nanotechnology and has previously worked at Instituto de Ciencia de Materiales de Madrid (2012–2015), Durham University (2016–2018), and University of Bristol (2018–2019). Education: B.Sc. and M.Sc. in Electrical and Electronics Engineering, PhD in Electronics Engineering-Nanotechnology His research focuses on dynamic Atomic Force Microscopy (AFM) , NEMS/MEMS , Surface Science , and Applied Nonlinear Control . Recent work explores nonlinear harmonics in AFM, solid-liquid interfacial dynamics, and single-cell biomechanical profiling. He leads projects on quantum sensor fabrication and cancer cell viscoelasticity analysis. Key trends in his 15 most recent publications (2025–2023) include advancements in nanoscale imaging , multifrequency AFM , viscoelastic material analysis , and biomedical applications such as viral protein sensing and corneal cell profiling. Collaborative projects span institutions in Ireland, Spain, and the UK. Scientific Awards: Editor's Highlights in Journal of Applied Physics (2018) and Nanotechnology (2015) Best Innovative Idea, Second International R&D Award of Iran (2012) Distinct Graduate Student, University of Tehran Visiting Study Scholarship, Instituto de Microelectronica de Madrid (2010) M.Sc. First Class Student (top among 15) He serves as Unit Director for Mechatronics II and Electronics II modules and supervises BEng/MEng research projects. Active research grants include Royal Society funding (2024–2026) for cancer cell biomechanics and an ongoing 2022–2026 project on solid-liquid interface dynamics.

• Atomic Force Microscopy
• Nanotechnology
• Mechatronics
• +۴ مورد دیگر

Professor Susan Brooks is a faculty member at Oxford Brookes University in the School of Biological and Medical Sciences . Her research focuses on glycobiology , cancer progression , and the role of extracellular vesicles in metastasis. Professor of Cell Biology Director of Researcher Development Focus on breast and ovarian cancer Specialized in glycosylation mechanisms Research Interests : Dr. Brooks' work explores how aberrant glycosylation of proteins and glycans influences cancer cell behavior, including metastasis and drug resistance . Her recent studies examine extracellular vesicles as diagnostic tools and therapeutic targets. Article Trends : Over 25 years, Dr. Brooks has published 15+ articles on glycosylation patterns in breast and ovarian cancer. Key areas include lectin binding , miRNA regulation , and radiation-induced metastatic changes . Her work bridges cell biology and clinical applications .

• Cancer Biology
• Glycobiology
• Cell Signaling
• +۴ مورد دیگر

Stuart Allan is Professor of Neuroscience at the University of Manchester's Faculty of Life Sciences, Division of Neuroscience. His research focuses on neuroinflammation mechanisms in stroke and neurodegenerative diseases, with particular expertise in cytokine signaling (especially IL-1) and neuronal injury pathways. He leads projects targeting interleukin-1 for acute brain injury treatment and investigates stroke-immune mediated pathways in cognitive trajectory. Research Interests: Neuroinflammatory responses, cytokine-mediated neuronal injury, stroke pathophysiology, Alzheimer's disease mechanisms, and neurovascular coupling. His work bridges experimental paradigms (in vitro and in vivo) with clinical applications. Education: PhD Biomedical Sciences (University of Aberdeen, 1990-1993) BSc Pharmacology (University of Dundee, 1986-1990) Professional Appointments: Professor of Neuroscience (2012-present) Senior Lecturer (2008-2012) Lecturer (2002-2008) Postdoctoral Research Associate (1993-2002) Research Beacons & Institutes: Dementia@Manchester, Manchester Regenerative Medicine Network, Lydia Becker Institute, Christabel Pankhurst Institute, Manchester Institute for Collaborative Research on Ageing. Scientific Output: 179 research outputs including articles on cerebrovascular health, neurovascular coupling, and cytokine mechanisms in stroke models. Research demonstrates consistent focus on translational neuroscience and neuroinflammatory pathways.

• Neuroinflammation
• Stroke Pathology
• Cytokine Signaling
• +۳ مورد دیگر

Professor Jim Haseloff is a faculty member at the University of Cambridge, serving as Head of the Synthetic Biology for Engineering Plant Growth Group within the Department of Plant Sciences, School of Biological Sciences. His research focuses on applying engineering principles to construct new genetic systems in plants, with particular emphasis on using Marchantia polymorpha as a model system for understanding and engineering plant growth and development. Professor Haseloff's research interests span synthetic biology, genetic circuit design, plant transformation technologies, and the development of low-cost tools for biological research. His laboratory develops novel DNA tools and imaging techniques for visualizing, manipulating, and modeling genetic interactions and morphogenesis in plants. His work bridges the gap between fundamental plant biology and applied engineering approaches to reprogram plant development and physiology. The lab has established Marchantia polymorpha as a simplified model system with a streamlined genome, haploid genetics, and an open form of development ideal for quantitative analysis. Analysis of Professor Haseloff's recent publications reveals a strong focus on advancing the Marchantia model system for synthetic biology applications. His work spans genetic tool development, chloroplast engineering, plant sensing technologies, and fundamental developmental processes. Notably, his research increasingly integrates low-cost sensing technologies with traditional plant biology, reflecting his commitment to making synthetic biology more accessible worldwide. Professor Haseloff is actively involved in several major initiatives including OpenPlant (promoting open technologies for plant synthetic biology), Biomaker (funding construction of low-cost devices for biology), and the Engineering Biology IRC. He has taught undergraduate courses on Plant and Microbial Sciences (NST PMS 1B), Plant Development (NST CDB 1B), and Synthetic Biology (NST PS 2), with extensive teaching materials publicly available online. His laboratory has pioneered techniques for cell-free expression systems that are 200-400 times cheaper than commercial versions, low-cost microreactors using 3D-printed components, and innovative in vivo plant sensing devices. The group has developed extensive resources for the plant synthetic biology community, including standardized DNA parts, microscopy techniques, and educational materials for no-code programming in biology.

• Synthetic Biology
• Plant Engineering
• Genetic Circuits
• +۷ مورد دیگر