جستجوی استاد راهنمای دانشگاهی

Professor Thomas Meier is a Visiting Professor at the Department of Life Sciences, Imperial College London (since 2015), and Director of the Centre for Structural Biology (2017–2021). He leads research on ATP synthase structure, drug targets for tuberculosis, and molecular mechanisms of disease. Previously, he was a Group Leader at the Max-Planck-Institute of Biophysics (2006–2015) and ETH Zurich's Institute of Microbiology. His work combines structural biology (X-ray crystallography, electron microscopy) with biochemical studies. Education: Dr. sc. nat. (2002) and Dipl. sc. nat. (1998) from ETH Zurich. Awards include the Wellcome Trust Investigator (2015–present). Research focuses on ATP synthase's role in energy conversion, drug development, and structural biology. His lab includes postdocs and students like Lisa Uhrig and Anthony Cheuk. Key affiliations: Centre for Structural Biology, Membrane Biology Group, and Bacterial Pathogenesis studies. Languages: German, English, French (fluent), Latin (read/write). Publications span structural biology, planetary science, and drug discovery. His work on ATP synthase inhibitors for TB has clinical implications, while astrophysical studies explore planetary formation via giant impacts.

• Structural Biology
• Biochemistry
• Microbiology
• +۵ مورد دیگر

Professor Anil Seth is a leading cognitive and computational neuroscientist at the University of Sussex, where he holds a professorship in the School of Engineering and Informatics. He is Director of the Sussex Centre for Consciousness Science and Co-Director of the CIFAR Program on Brain, Mind, and Consciousness and the Leverhulme Doctoral Scholarship Programme. His research bridges neuroscience, psychology, philosophy, and AI to investigate the biological basis of consciousness and selfhood. His research interests include: Predictive processing approaches to perception Virtual and augmented reality in self-experience studies Mathematical modeling of perception and emergence Machine learning applications in subjective perception modeling Interoception and selfhood Neural mechanisms of conscious experience The recent publications reflect a strong focus on consciousness, neural dynamics, predictive models, and interdisciplinary approaches. Trends include the use of computational modeling, neurophenomenology, causal analysis, and the ethical implications of emerging neurotechnologies. His work increasingly integrates large language models and data-driven methods for analyzing subjective experience. His scientific awards include: Segerfalk Award Perspectives Award Highly Cited Researcher (Web of Science, 2019–2022) Royal Society Michael Faraday Prize (2023) Seth has secured substantial research funding from the European Research Council (ERC), EPSRC, Wellcome Trust, CIFAR, and the Sackler Foundation. He has supervised numerous research projects and doctoral students through interdisciplinary programs. He leads the Dreamachine project and has been an Engagement Fellow with the Wellcome Trust. He serves on editorial boards including Philosophical Transactions of the Royal Society B and is Editor-in-Chief of Neuroscience of Consciousness . He leads a multidisciplinary research group at the Sackler Centre, bringing together psychologists, mathematicians, neuroscientists, computer scientists, and philosophers. His team conducts innovative research using virtual reality, neuroimaging, and computational modeling to explore the nature of consciousness and self.

• Cognitive Neuroscience
• Computational Neuroscience
• Consciousness Science
• +۱۲ مورد دیگر

Prof. Silvia Vignolini is a leading researcher in sustainable and bio-inspired materials. Since January 2023, she has served as Director at the Max Planck Institute of Colloids and Interfaces , where she leads the department of Sustainable and Bio-inspired Materials . Her academic career includes a Lecturer in Physics at University College London (2013-2017) and a Professor of Biomaterials and Sustainability at the University of Cambridge (2020-2022). Education: University of Florence (Physics, PhD) Postdoctoral Research: University of Florence , University of Cambridge Her research bridges chemistry , soft matter physics , optics , and biology , focusing on the self-assembly of natural materials into functional architectures. She pioneered work on cellulose-based photonic materials with applications in displays, pigments, and radiative cooling. The selected articles highlight her work on cellulose nanocrystals , structural coloration , and sustainable fabrication techniques . Key trends include mechanochromic hydroxypropyl cellulose systems, bio-inspired light management, and applications in microalgae growth and bacterial symbiosis. Scientific Awards : Philip Leverhululme Prize (2019) ACS Lectureship in Sustainable Chemistry (2018) Ipazia Prize for Women in Science (2012) PhD Thesis Award (University of Florence, 2009) At the Max Planck Institute, her interdisciplinary research group explores bio-inspired design principles for sustainable materials, combining experimental and computational approaches to create functional materials from natural resources.

• Biomaterials
• Sustainable Materials
• Biophysics
• +۶ مورد دیگر

Isabella Guido is a Senior Lecturer in Experimental Soft Matter Physics at the University of Surrey's School of Mathematics and Physics. She holds a PhD from TU Berlin (2010) and has conducted postdoctoral research at Peking University and the Max Planck Institute for Dynamics and Self-Organization. Her research focuses on synthetic biology, active bioinspired systems, and microtubule-motor protein dynamics. Guido's work bridges active matter physics and synthetic biology, aiming to develop minimal systems mimicking natural cellular structures. Key projects include synthetic beating structures resembling cilia, 3D active nematics, and investigations into cellular symmetry breaking via biomimetic systems. Her education includes a PhD on dielectrophoretic effects in mammalian cells, followed by postdoctoral studies on cell mechanics, microfluidics, and electroporation. Guido's interdisciplinary approach combines experimental biophysics with synthetic biology to uncover principles governing living matter. She leads the Synthetic Active Systems group and collaborates internationally on projects such as light-powered artificial cells and motor-driven microtubule networks. Her work addresses sustainable development goals through bio-inspired material design and active matter applications. Publications highlight contributions to electrotaxis mechanisms, live-cell imaging techniques (e.g., MIET), and microtubule network dynamics under depletion forces. Guido's research has advanced understanding of ciliary beating patterns, synthetic axoneme models, and biopolymer self-organization under mechanical stress.

• Synthetic Biology
• Active Bioinspired Systems
• Active Matter
• +۳ مورد دیگر

Joe Pitt-Francis is Associate Professor of Computer Science and Tutorial Fellow in Computer Science at St Edmund Hall, University of Oxford . Since 1999 he has tutored Oxford computer-science students and formally became a Tutorial Fellow of St Edmund Hall in 2024. His research lies at the intersection of computational biology and mathematical biology . Using sophisticated numerical techniques he constructs and analyses models of the heart , cancer and blood flow . A central strand of his work is software development for biological simulation; he is an active contributor to Chaste ( Cancer, Heart and Soft-Tissue Environment ), a large-scale C++ library that supports multiscale computational models in physiology and medicine. Across more than 60 peer-reviewed publications since 1998, his work has progressively advanced from foundational software-engineering papers describing Chaste’s architecture to highly-cited studies on cardiac electrophysiology , tumour-induced angiogenesis , microvascular haemodynamics and cell-cycle dynamics under hypoxia . The 2024-2025 corpus shows strong emphasis on multiscale frameworks , open benchmarking , and radiotherapy-induced vascular remodelling , positioning his group at the forefront of translational in-silico oncology. Contact: Email: Joe.Pitt-Francis@seh.ox.ac.uk

• Computational Biology
• Mathematical Biology
• Cardiac Electrophysiology Modelling
• +۳ مورد دیگر

Prof. Vlatko Vedral is a Professor of Quantum Information Science in the Department of Physics at the University of Oxford, affiliated with the Clarendon Laboratory. He leads research in the Frontiers of Quantum Physics group. His work focuses on quantum entanglement, quantum gravity, quantum foundations, and quantum thermodynamics, with applications to biological systems and quantum technologies. Notable contributions include theoretical frameworks for quantum gravity experiments and quantum causal inference protocols. Research interests span quantum information science, quantum gravity, atomic and laser physics, and the philosophical interpretation of quantum mechanics. Recent work explores emergent geometry from quantum correlations, quantum refrigeration with indefinite causal order, and experimental probes of quantum effects in macroscopic systems. Publications highlight interdisciplinary approaches, such as testing quantum gravity via entanglement and analyzing non-classicality in photosynthetic systems. His research often bridges theoretical physics with experimental feasibility, leveraging quantum simulators and NMR systems.

• Quantum Information Science
• Quantum Physics
• Quantum Gravity
• +۴ مورد دیگر

Dr. Sarah Loos is an independent postdoctoral researcher at the Department of Applied Mathematics and Theoretical Physics (DAMTP), University of Cambridge, and a Research Fellow at Corpus Christi College. Her work focuses on theoretical descriptions of nonequilibrium systems, integrating statistical physics, thermodynamics, control theory, and nonlinear dynamics. PhD in Statistical Physics (TU Berlin, 2020) Marie-Curie and DFG Walter-Benjamin Fellow Key research areas: stochastic thermodynamics, non-Markovian processes, active matter, nonreciprocal systems Her research explores entropy production, time-reversal asymmetry, and collective dynamics in active matter. She has received multiple awards, including the Royal Society of Chemistry's Early Career Award (2024) and Springer Thesis Award (2020). Recent publications emphasize nonreciprocal interactions, optimal control protocols, and memory effects in complex systems. Scientific Awards: Early Career Award (2024) Marie-Skłodowska-Curie Fellowship (2022) DFG Walter-Benjamin Fellowship (2022) SKM Dissertation Prize (2021) Carl Ramsauer Preis (2020) EPL Poster Prize (2019) Her work has been supported by the Joachim-Herz Stiftung (2022) and Studienstiftung des Deutschen Volkes (2013-2015). Collaborations span institutions like ICTP Trieste, Leipzig University, and Duke University.

• Stochastic Thermodynamics
• Non-Markovian Processes
• Active Matter
• +۴ مورد دیگر

Dr. Yar Muhammad is a Principal Lecturer in Computer Science at the University of Hertfordshire's School of Physics, Engineering & Computer Science. His research develops Brain-Computer Interface applications using AI/ML techniques for healthcare. He holds a PhD in ICT (Tallinn University of Technology) and dual master's degrees. Research Leadership: Supervised PhD students: Nimra Memon (fault-tolerance in web services), Dmytro Zabolotnii (agent behavior prediction), Mahir Gulzar (context-aware modeling) Accepts self-funded PhD candidates in BCI/AI applications Awards: Young Investigator Award (Springer/IFMBE, 2014) Best Paper Award Runner-up (26th ISSC 2015) Professional Recognition: Fellow of Higher Education Academy IEEE Senior Member Editorial board member for multiple journals

• Brain-Computer Interfaces
• Artificial Intelligence
• Machine Learning
• +۱ مورد دیگر

Simon Webb is a Professor of Organic Chemistry at the University of Manchester, leading the Organic Chemistry Group within the School of Chemistry. His research focuses on molecular self-assembly to create biomimetic materials, with key themes including membrane recognition, synthetic ion channels, and magnetically responsive biomaterials. He earned his PhD from the University of Cambridge and has held academic positions since 2002. His work bridges organic chemistry, nanotechnology, and biomedicine, contributing to sustainable development through advanced materials in medicine and biotechnology. Education: B.Sc./M.Sc. Chemistry, Auckland University (1990–1994) PhD, University of Cambridge (1994–1997) Research Interests: Membrane communication via synthetic ion channels Magnetic nanoparticle-vesicle assemblies for drug delivery Peptide-based foldamers for signal transduction His lab develops materials that mimic biological membranes, such as magnetically triggered drug delivery systems (MNPVs) and foldamer-based sensors. Collaborations span advanced materials, biotechnology, and medical research. Current projects include exploring cooperativity in multivalent ligand binding and lipid raft dynamics. Publications highlight innovations in foldamer design, supramolecular arrays, and enzyme-responsive materials. His work is supported by grants and contributes to UN Sustainable Development Goals in health and advanced materials.

• Organic Chemistry
• Biomaterials
• Nanotechnology
• +۷ مورد دیگر

Professor Tony Shardlow is affiliated with the Department of Mathematical Sciences at the University of Bath , UK. His research spans Stochastic Differential Equations , Bayesian Inverse Problems , Statistical Shape Modelling , and Numerical Analysis , with applications in data science, medical imaging, and computational physics. Labs/Teams : IMI (Institute for Mathematical Innovation), Prob-L@b (Probability Laboratory at Bath), SAMBa (EPSRC Centre for Doctoral Training in Statistical Applied Mathematics). Recent Research Trends : Focus on geometric shape analysis using flow fields, stochastic PDEs for particle dynamics, and Bayesian inference techniques in industrial and medical contexts. Collaborative work bridges computational mathematics with applications in hip dysplasia assessment and pesticide delivery systems. Advising : Supervised Fengpei Wang's PhD thesis on dimension reduction and Sinkhorn algorithms. Collaborates with researchers like N. D. F. Campbell and C. Poon. Teaching : Offers MA30170 - Numerical Solution of Elliptic PDEs.

• Stochastic Differential Equations
• Bayesian Inverse Problems
• Statistical Shape Modelling
• +۳ مورد دیگر

Professor David Thomas holds the position of Professor in Computer Engineering at the University of Southampton's Electronics and Computer Science Department. His research focuses on the intersection of software and hardware, particularly leveraging FPGAs for novel digital architectures and event-driven computing. He has a notable academic trajectory, having previously served as a Lecturer and Senior Lecturer at Imperial College London before joining Southampton in 2021. Dr. Thomas is actively involved in supervising PhD students and contributes to interdisciplinary research projects funded by the EPSRC, such as the SONNETS initiative exploring scalable event-triggered systems. Education: BSc in Computer Science (Imperial College London), PhD in Digital Architectures (Imperial College London). Postdoctoral roles included Research Associate and Research Fellow at Imperial's Department of Computing. Research Interests: Event-driven computing, FPGA-based systems, high-level synthesis, and high-performance computing. His work emphasizes practical implementations of theoretical models, such as custom processors and application-specific accelerators. Current projects include optimizing random number generation for FPGAs and exploring meta-programming techniques for hardware design. Advising and Grants: Supervises multiple PhD students in areas like neuromorphic computing and algorithm optimization. Active in securing funding for distributed system architectures and FPGA-based solutions. Labs/Teams: Member of the Cyber Physical Systems research group. Collaborates with interdisciplinary teams on projects like POETS (Partially Ordered Event-Triggered Systems) for large-scale parallel computing.

• Event-driven Computing
• FPGAs
• Digital Architectures
• +۳ مورد دیگر

Prof Jean Van Den Elsen is a Professor of Biochemistry at the University of Bath , affiliated with the Department of Life Sciences and several research centers including the Centre for Sustainable Chemical Technologies (CSCT) , Centre for Therapeutic Innovation , and Milner Centre for Evolution . They are actively accepting doctoral students and leading multidisciplinary projects at the intersection of structural biology and immunology. Education: Not explicitly mentioned Appointments: University of Bath (current), with collaborations across Chemistry, Biology & Biochemistry departments Research Focus: The laboratory investigates protein structural biology in two major areas: Complement System Interactions: Studying how pathogenic microbes like Staphylococcus aureus evade host immunity through complement system manipulation , with structural analysis of proteins such as C3d and C5 complexes. This work directly informs vaccine design and autoimmune disease treatment . Glycation Mechanisms: Developing diagnostic tools for detecting non-enzymatic sugar modifications linked to diabetes , Alzheimer's , and aging, with commercial partnerships like Abcam . Article Trends: Recent publications demonstrate: Structural analysis of complement evasion proteins (2022-2025) Engineering knob domains as miniature antibodies (2023) Evolutionary studies on cooperative behavior (2021-2025) Advancements in peptide synthesis platforms (2022-2023) Applications of AI protein folding (2020) Scientific Contributions: ORCID: 0000-0002-0367-1956 BBSRC Funding recipient (2023) 100+ citations across 76 research outputs Student Mentorship: Directly supervising 4 current PhD students and 1 postdoc, with a track record of mentoring 11 previous students including Daphne Jackson Fellows and MSCA researchers. Collaborations: Maintains active partnerships with Dr. Tony James (Chemistry), Dr. Rob Williams (Biochemistry), and industry partners UCB Celltech and Porton Biopharma Ltd. Their work contributes to UN Sustainable Development Goals 3 (Good Health), 12 (Responsible Consumption), and 13 (Climate Action).

• Structural Biochemistry
• Protein Homeostasis
• Immune Evasion Mechanisms
• +۵ مورد دیگر

Dr. Youngchan Kim is a Lecturer in Quantum Biology at the University of Surrey , serving as Director of the Quantum Biology Doctoral Training Centre (QB-DTC). He is affiliated with multiple departments including the School of Biosciences, Advanced Technology Institute, and Quantum Sciences Group. PhD in Physics (2011), Korea Advanced Institute of Science and Technology MSc in Physics (2008), KAIST BSc in Physics (2006), Chung-Ang University Graduate Certificate in Learning and Teaching (2022), Advance HE His research focuses on quantum phenomena in biological systems at physiological temperatures, particularly using femtosecond optical spectroscopy and genetically engineered fluorescent proteins to explore evolutionary adaptations and develop quantum-bio-inspired technologies like room-temperature single-photon sources. The 15 most recent publications span quantum biology, biophotonics, and optical spectroscopy, with particular emphasis on quantum coherence in biological systems , terahertz birefringence , fluorescent protein dynamics , and biomedical imaging innovations . These works demonstrate his interdisciplinary approach bridging physics, biology, and medical applications. As QB-DTC Director, he leads transdisciplinary initiatives fostering collaboration between quantum physics and biosciences. His technical expertise includes time-correlated single-photon counting , common-path interferometry , and ultrafast fluorescence depolarization techniques.

• Quantum Biology
• Biophotonics
• Bioimaging
• +۳ مورد دیگر

Dr. Bin Zhu is a Research Fellow in the School of Mechanical Engineering Sciences at the University of Surrey, affiliated with the Centre for Engineering Materials. He obtained his PhD from the same institution, focusing on multiscale residual stress evaluation and mechanical property characterization using microscopy and large-scale facilities. His research develops techniques for harsh environments to enhance material longevity by managing manufacturing-induced residual stress, with applications in nuclear fusion components. Education PhD, University of Surrey (Research focus: Multiscale residual stress evaluation and mechanical property characterization) Research Focus Dr. Zhu's research centers on three interconnected areas: 1) Multiscale residual stress evaluation using advanced techniques like plasma-focused ion beam and neutron diffraction; 2) In situ mechanical testing under extreme conditions; and 3) Computational modeling for predicting stress distributions and material behavior. His work primarily addresses nuclear fusion reactor challenges, particularly laser-welded Eurofer97 steel components, where residual stress critically impacts structural integrity. Publication Trends Dr. Zhu's recent publications (2021-2025) demonstrate three key themes: 1) Advanced residual stress analysis in nuclear materials using machine learning, neutron imaging, and synchrotron techniques; 2) High-temperature mechanical performance of welded joints for fusion reactors; and 3) Biomimetic material characterization, including bioinspired composites and biological light-diffraction mechanisms. His methodologies consistently integrate multiscale experimental approaches with computational modeling.

• Multiscale residual stress evaluation
• In situ mechanical testing
• Computational modelling
• +۳ مورد دیگر

Prof. Radek Erban is a Professor of Applied Mathematics at the Mathematical Institute , University of Oxford. He is affiliated with the Oxford Centre for Industrial and Applied Mathematics and works across interdisciplinary fields including Mathematical Biology, Stochastic Processes, and Reaction-Diffusion Systems. His research focuses on: Multiscale modeling of biological and chemical processes Stochastic simulation algorithms for reaction-diffusion systems Mathematical analysis of collective behavior in biological systems Computational methods for chemotaxis and gene regulatory networks Partial differential equation models for biological phenomena Recent work explores multi-resolution simulations of ions, morphogen gradient modeling, and hybrid numerical methods for stochastic processes. His publications span journals in applied mathematics, computational biology, and physical sciences. Current projects involve bridging atomistic and continuum models for chemical systems.

• Applied Mathematics
• Mathematical Biology
• Multiscale Modelling
• +۵ مورد دیگر