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
• +۷ مورد دیگر

Professor Tim Claridge is a Visiting Professor of Nuclear Magnetic Resonance at the University of Oxford's Department of Chemistry. His research focuses on developing NMR techniques for structural characterization of molecules, studying protein-ligand interactions, and applying NMR-based metabolomics for disease diagnosis. Collaborations include work with Professors Chris Schofield, Daniel Anthony, and Niki Sibson, among others. Key research areas include: Development of NOAH NMR supersequences for efficient small molecule characterization Protein-observe and ligand-observe NMR methods to study biological systems (e.g., oxygen sensing, epigenetics, antibacterial resistance) NMR metabolomics applied to multiple sclerosis and cancer research He leads the NMR Facility and collaborates across disciplines within the University of Oxford and external institutions. His work emphasizes methodological innovation in NMR spectroscopy and its translational applications in chemical biology and clinical research.

• Nuclear Magnetic Resonance (NMR) Spectroscopy
• Solution-state NMR Techniques
• Protein-Ligand Interactions
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John Clark is a Professor of Computer and Information Security at the University of Sheffield since 2017 and Director of the Siemens Digital MINE. Previously, he held roles as Professor of Critical Systems at the University of York (1992–2017) and worked at Logica in security R&D. He studied Mathematics and Applied Statistics at the University of Oxford. His research focuses on cybersecurity, software engineering, and AI applications, particularly in threat modeling, intrusion detection, quantum cryptanalysis, and secure autonomous systems. Clark leads the Security of Advanced Systems research group and has secured grants totaling over £36 million. Notable projects include the EPSRC-funded DAASE (2012–2019) and the Active Building Centre (2018–2022). His work on phishing detection (e.g., analyzing user behavior) and malware analysis has been widely recognized. He has been awarded the Royal Society Wolfson Merit Award (2013), GEECO medals (2005, 2013), and multiple best-paper prizes. Clark’s research spans theoretical and applied domains, including evolutionary computation for cryptanalysis, robotic system security, and smart grid protection. His labs explore areas like digital twin authentication and privacy-aware energy theft detection. He has supervised numerous grants and maintains active collaborations with industry and academia.

• Cybersecurity
• Software Engineering
• Artificial Intelligence
• +۵ مورد دیگر

Dr. Nathanael L. Baisa is a Lecturer in Artificial Intelligence at De Montfort University (DMU), part of the Computing, Engineering and Media faculty within the School of Computer Science and Informatics. His academic career includes roles as a senior research associate at Lancaster University, researcher at AnyVision, and research fellow at the University of Lincoln, focusing on computer vision and machine learning projects funded by ERC, EPSRC, and Innovate UK. Education: PhD in Electrical Engineering (Computer Vision/ML - Heriot-Watt University, 2018) MSc in Computer Vision and Robotics (Erasmus Mundus program, 2013) Research focuses on computer vision applications including object detection, scene understanding, autonomous systems, and biometrics. He leads work on deep learning for visual tracking, hand-based person identification, and robotic perception. He teaches courses like Introduction to Computer Vision and Deep Learning frameworks. His recent publications emphasize vision-language models, multi-object tracking algorithms, and geoscience machine learning applications. He collaborates with the Institute of Artificial Intelligence (IAI) and contributes to interdisciplinary projects in robotics and energy exploration.

• Computer Vision
• Machine Learning
• Deep Learning
• +۵ مورد دیگر

Ben Davis is a Professor of Chemical Biology at the University of Oxford and Science Director for Next Generation Chemistry at the Rosalind Franklin Institute . He obtained his BA (1993) and DPhil (1996) at Oxford under Professor George Fleet, followed by postdoctoral work at the University of Toronto. Research Focus: His work bridges carbohydrate chemistry and protein engineering , emphasizing synthesis methodologies , biocatalysis , enzyme mechanisms , and glycobiology . Key applications include drug delivery , molecular imaging , and plant productivity via SugaROx. Recent Publications highlight advancements in cryo-EM structure determination , NMR pulse calculation , protein acylation , ALS therapeutics , and agricultural biotechnology . These reflect his interdisciplinary approach spanning synthetic chemistry, structural biology, and translational applications. Scientific Leadership: Elected Fellow of the Royal Society (2015) TR35 Innovator (MIT Technology Review, 2003) BBSRC Innovator Finalist (2010) Editorial leadership in Chemical Science , ChemBioChem , and others Co-founder of biotech ventures: Glycoform, Oxford Contrast, SugaROx, Scindo

• Synthetic Biology
• Chemical Biology
• Chemical Medicine
• +۹ مورد دیگر

George R. Bacanu is a Senior Research Fellow at the University of Southampton affiliated with the Interdisciplinary Centre for Magnetic Resonance (ICMR). His research focuses on spectroscopic analysis of fullerenes, endofullerenes, and endofullerides to investigate dynamics of confined atomic and molecular species using Nuclear Magnetic Resonance, Neutron scattering, Infra-red, and THz spectroscopy. His primary research explores molecular confinement within carbon cages, particularly examining noble gas interactions in endofullerenes. By integrating multiple spectroscopic techniques, Bacanu characterizes interaction potentials and dynamic behaviors of encapsulated species like helium-3 and krypton, bridging physical chemistry, quantum mechanics, and nanomaterials science. This work reveals fundamental insights into non-bonded interactions and molecular motion at nanoscale. Recent publications (2021-2023) demonstrate consistent methodological innovation through combined NMR, neutron scattering, and computational approaches. Key studies include rubidium endofulleride superconductivity, helium dynamics in C60 cages, and krypton encapsulation synthesis, establishing patterns in confined species behavior across varying experimental conditions and fullerene structures. As a core member of the Spectroscopy, Spectrometry, and Structure group within ICMR, Bacanu utilizes advanced magnetic resonance facilities and collaborates on interdisciplinary projects involving molecular synthesis, quantum dynamics simulation, and neutron scattering experiments at international research centers.

• Fullerene Spectroscopy
• Endofullerene Spectroscopy
• Endofulleride Spectroscopy
• +۵ مورد دیگر

Roles & Affiliations: Alexander Golovanov is an Associate Professor (Reader) in the Department of Chemistry, Faculty of Science and Engineering at The University of Manchester. He leads research in structural biology and applications of light-coupled NMR spectroscopy. He coordinates courses BIOL10551 and CHEM10520. Education: MSc equivalent from Moscow Institute of Physics and Technology (1988) PhD from Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry (1994) Research Interests: Golovanov’s work focuses on protein interactions and their roles in diseases like viral infections and cancer. Key areas include NMR spectroscopy for structural studies, herpesvirus protein ICP27’s role in HSV-1 infection, and methods to prevent protein aggregation in biopharmaceuticals. His lab develops novel NMR techniques for multi-component binding analysis and stabilizes proteins using additives like arginine glutamate. Research Contributions: Over 91 publications and 2 datasets highlight his work on protein-drug interactions, viral protein dynamics, and formulation stability. His methods have advanced understanding of HSV-1’s molecular mechanisms and improved monoclonal antibody stability. Grants & Labs: Active in Manchester Institute of Biotechnology. Research aligns with UN Sustainable Development Goals through contributions to healthcare innovation and pharmaceutical advancements.

• Structural Biology
• Nuclear Magnetic Resonance (NMR) Spectroscopy
• Protein Interactions
• +۵ مورد دیگر

Mathias Nilsson is a Professor of Physical Chemistry at the School of Chemistry, University of Manchester. He holds a BSc in Food Chemistry from Linneaus University (1993) and a PhD in Food Science from the Swedish University of Agricultural Sciences (1999). He has held postdoctoral positions in Aveiro, Portugal (2002–2003) and Manchester (2004–2007), followed by an EPSRC Advanced Research Fellowship. His research focuses on developing novel methods in liquids NMR spectroscopy, particularly in analyzing complex mixtures using diffusion-ordered spectroscopy (DOSY) and pure shift techniques. He leads the Mathias Nilsson Research Group, which collaborates globally and contributes to the Manchester NMR Methodology Group. His work addresses challenges in mixture analysis, spectral overlap resolution, and multidimensional NMR methodologies. Education: BSc in Food Chemistry, Linneaus University (1993) PhD in Food Science, Swedish University of Agricultural Sciences (1999) Research Interests: His group specializes in advancing NMR spectroscopy for mixture analysis, including DOSY, pure shift techniques, and multivariate data analysis. Key areas include reducing spectral overlap via pure shift DOSY, 3D DOSY methods, and covariance-based signal processing. Applications span pharmaceuticals, materials science, and food chemistry. The group also develops software tools like the DOSY Toolbox for diffusion data processing. Key Achievements: EPSRC Advanced Research Fellowship (2007) Contributions to economic and technological impacts via DOSY and pure shift NMR methodologies Development of the DOSY Toolbox software Advising & Grants: Supervised multiple PhD students and postdocs, including those working on pure shift NMR, matrix-assisted DOSY, and diffusion-based mixture analysis. His research aligns with UN Sustainable Development Goals through innovations in analytical chemistry. Labs & Teams: Part of the Manchester NMR Methodology Group and collaborates with international researchers in spectroscopy and analytical chemistry.

• Nuclear Magnetic Resonance (NMR) Spectroscopy
• Analytical Chemistry
• Physical Chemistry
• +۷ مورد دیگر

Professor Richard Whitby holds the position of Professor of Organic Chemistry at the University of Southampton. His research focuses on endohedral fullerenes, flow chemistry optimization, and optoelectronic materials synthesis. He leads the 'Dial-a-Molecule' Grand Challenge initiative aiming to revolutionize molecular synthesis efficiency. Education: BA in Natural Sciences (Trinity College, Cambridge, 1982), PhD (University of Leeds, 1980s) Key Roles: Former Reader (1996-1999), Promoted to Professor (1999) Research Interests: - Molecular surgery for endofullerene synthesis (e.g., H₂@C₆₀, He@C₆₀) - Flow chemistry with in-line analytical tools (IR/UV/HPLC-MS) - Polyaromatic molecules for organic electronics Recent Publications Highlight: Focus on encapsulated gases in fullerenes (He, Ne, Ar), flow chemistry process optimization, and novel synthetic methodologies for optoelectronic applications. Awards: Royal Society of Chemistry Bader Award (1999), GlaxoWelcome Innovative Chemistry Award (1996) Supervision: Currently guiding PhD student Geoffrey Paul McNulty. Active in mentoring across 20+ research projects funded by EPSRC, Royal Society, and EU initiatives.

• Synthesis of atomic/molecular endofullerenes
• Flow chemistry
• Organic optoelectronics
• +۲ مورد دیگر

Peter Rayner is an Associate Lecturer in the Department of Chemistry at the University of York, affiliated with the Centre for Hyperpolarisation in Magnetic Resonance. He holds an MChem (2009) and a PhD in Organic Chemistry (2013), both from the University of York. His research focuses on developing synthetic and catalytic chemistry for biomedical applications, particularly leveraging the SABRE (Signal Amplification by Reversible Exchange) technique to enhance nuclear magnetic resonance (NMR) imaging for diagnostic purposes. Key areas include designing isotopically labeled substrates and novel ligands for SABRE catalysts to improve hyperpolarization and prolong magnetic lifetimes. He has presented at conferences such as the Dalton Division Northern Meeting and the NMR Discussion Group, and his work spans interdisciplinary collaborations in analytical chemistry, catalysis, and materials science. Rayner’s research emphasizes translating SABRE advancements into pre-clinical MRI applications for disease diagnosis. His publications highlight innovations in catalyst design, hyperpolarization methods, and applications in drug scaffolds, including tuberculosis treatments. Over 30 peer-reviewed articles and seven datasets underscore his contributions to SABRE’s development and its biomedical potential. His lab utilizes techniques like X-ray crystallography and mass spectrometry to study structure-activity relationships, driving advancements in hyperpolarized MRI probes and pharmaceutical agents.

• Organic Chemistry
• Catalytic Chemistry
• Nuclear Magnetic Resonance (NMR)
• +۳ مورد دیگر

Professor Katja Strohfeldt is a Professor of Pharmaceutical Chemistry and Associate Pro-Vice-Chancellor (Education and Student Experience) at the University of Reading. She leads strategic initiatives in teaching and learning across multiple schools, including Agriculture, Archaeology, Built Environment, and Mathematical Sciences. Her academic career includes roles as School Director of Teaching and Learning and Warden of Stenton Hall. Strohfeldt earned a PhD in Chemistry from the University of Wuerzburg, Germany, followed by postdoctoral research in Dublin on metal-based anti-cancer drugs. She joined the University of Reading in 2006 and was promoted to Professor in 2018. Her research focuses on anticancer drug design (particularly titanocene and ruthenium complexes), quality assurance of herbal medicines, and innovative teaching methods like problem-based learning (PBL). Her textbook Essentials of Inorganic Chemistry integrates PBL case studies for pharmacy education. Awards include University Teaching Fellow and Principal Fellow of the Higher Education Academy. She sits on the British Pharmacopoeia’s Expert Advisory Group and contributes to regional academic governance. Key achievements include advancing data-driven improvements in teaching quality, developing PBL frameworks for large classes, and publishing over 40 peer-reviewed articles. Her research group explores thrombosis modulation via metal complexes and herbal medicine standardization.

• Pharmaceutical Chemistry
• Metal-Based Anti-Cancer Drugs
• Quality Assurance of Herbal Medicines
• +۳ مورد دیگر

Dr. Michele Piscitelli is a Lecturer in Italian Language at the University of Oxford's Department of Italian, within the Faculty of Medieval and Modern Languages. He holds a Ph.D. from the University of Birmingham, where his research focused on English learning of Italian during the Tudor period, and an MA in History, Archival Studies, and Librarianship from the Università degli Studi di Genova. His academic career includes teaching Italian and English in the UK, Australia, Honduras, and Spain. Education: Ph.D., University of Birmingham (M4C-funded) MA in History, Archival Studies, and Librarianship, University of Genoa His research interests bridge classical reception, comparative literature, and early modern cultural studies, including utopian/dystopian literature, Renaissance art of memory, and globalization. His work also intersects with interdisciplinary quantum physics research, as evidenced by his publications on superconducting qubits, dark matter detection, and quantum sensor technologies. Recent articles explore cutting-edge topics like scalable quantum lattice designs, self-driving laboratory systems, and axion dark matter searches, reflecting his dual engagement with humanities and experimental physics. Though no scientific awards are explicitly mentioned, his publications highlight contributions to both language pedagogy and quantum engineering. No advising or grant details are provided. His work spans teaching, cultural history research, and quantum physics, underscoring a unique interdisciplinary profile.

• Classical Reception
• Comparative Literature
• Creative Multilingualism
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Dr. Laura Castanar Acedo is an Honorary Lecturer in Chemistry at the University of Manchester, specializing in advanced NMR methodology. She holds a Dame Kathleen Ollerenshaw Research Fellowship and has been recognized with awards such as the Ritchey Award (2015) and Lindau Nobel Laureate Meeting participation (2017). Her research focuses on NMR spectroscopy techniques for complex mixture analysis, including pure shift methods and fluorine-containing systems. Education: BSc Chemistry, Complutense University of Madrid (2011) MSc Chemical Science & Technologies, Autonomous University of Barcelona (2012) PhD in NMR Methodology, Autonomous University of Barcelona (2015) Research Interests: Her work develops innovative NMR tools for structural characterization of organic molecules, solvent suppression techniques, and high-resolution spectroscopy. Key areas include pure shift NMR methods, fluorinated spin systems, and ultra-fast NMR analysis for complex biological/chemical mixtures. Recent Article Trends: Recent publications focus on advancing NMR resolution and selectivity, particularly in fluorinated compounds and solvent suppression. Techniques like FESTA and IPAP-FESTA are highlighted for their role in analyzing dynamic mixtures and heteronuclear couplings. Awards: 2019: Dame Kathleen Ollerenshaw Fellowship 2018: EPSRC Grant Co-I, SMASH Conference Organizer 2017: Lindau Nobel Laureate Meeting attendee 2015: Ritchey Award for NMR Contributions Grants & Advising: Currently supervising an iCASE-funded PhD project in NMR methods for industrial challenges. Previous grants include EPSRC funding for high-dynamic-range mixture analysis techniques.

• Nuclear Magnetic Resonance (NMR)
• Analytical Chemistry
• Mixture Analysis
• +۳ مورد دیگر

Chris Lusher is a Researcher in the Department of Physics at Royal Holloway, University of London. His research focuses on applying DC SQUIDs to Nuclear Magnetic Resonance (NMR) and Noise Thermometry, with collaborations at the Physikalisch-Technische Bundesanstalt and the Millikelvin Laboratory. He teaches courses on Electromagnetism and Nuclear Magnetic Resonance, and coordinates experimental projects for students. His work includes fundamental physics experiments on 3He in Zeolite MCM-41 and applications in low-field SQUID MRI. Education: B.A. in Natural Sciences (Physical) from the University of Cambridge (1981), D.Phil. in Low Temperature Physics from the University of Sussex (1985). Joined Royal Holloway as a postdoc in 1988, becoming academic staff in 1995. Research Interests: Explores SQUID-based NMR/MRI for weak magnetic responses, noise thermometry development, and quantum phase transitions. Collaborates internationally on projects like the EU-funded Biodiagnostics initiative. Key Projects: Led the EPSRC-funded 'Quantum Phase Transitions and Quantum Criticality in Helium Films' (2010–2013). Published 35+ research outputs, including advancements in millikelvin thermometry and nanofluidic NMR detection. Labs/Teams: Active in the Millikelvin Laboratory and Cryosensors collaborations. Supervises project students and contributes to first-year laboratory demonstrations.

• Nuclear Magnetic Resonance (NMR)
• Noise Thermometry
• Superconducting Quantum Interference Devices (SQUIDs)
• +۳ مورد دیگر

Chiheb Ben Mahmoud is a Junior Research Fellow and Swiss National Science Foundation Postdoctoral Fellow in the Department of Chemistry at the University of Oxford, working under Prof. Volker Deringer. He holds a PhD in Materials Science and Engineering from the Swiss Federal Institute of Technology (EPFL) and Master’s degrees from Ecole CentraleSupélec (France) and the University of Paris-Saclay (France). His research focuses on applying machine learning to model macroscopic properties of materials, with a particular emphasis on atomistic simulations and computational materials science. Key research interests include graph neural networks for interatomic potentials, solid-state NMR predictions, and addressing data challenges in atomistic machine learning. His work bridges machine learning methodologies with fundamental materials science problems, such as charge density wave modulation and hot-electron dynamics. He collaborates with experts like Dr. Andy Anker and Dr. Dmytro, advancing interdisciplinary approaches to materials modeling. No scientific awards are explicitly mentioned in the provided text. His advisory and grant activities are not detailed here, though his postdoctoral position suggests affiliation with the Swiss National Science Foundation. He contributes to Prof. Deringer’s research group, focusing on cutting-edge computational techniques for materials discovery and analysis.

• Machine Learning
• Materials Science
• Computational Chemistry
• +۳ مورد دیگر