جستجوی استاد راهنمای دانشگاهی

Professor Marc Sorel is a faculty member in the Department of Electronic & Nanoscale Engineering at the University of Glasgow's School of Engineering. He holds a PhD from Università di Pavia (1999) and joined the Optoelectronics Research Group at Glasgow in 1998 with a Rotary Foundation fellowship. Appointed Lecturer in 2002 and Senior Lecturer in 2008, he is now a Professor specializing in integrated optics, silicon photonics, and semiconductor lasers. His research focuses on applications like quantum technology, mid-infrared optoelectronics, and nonlinear photonics. Notable projects include silicon nitride optical phased arrays and rubidium-based atomic systems. He leads a team advancing chip-scale sensors and photonic integrated circuits. Collaborations with institutions like the Quantum Technology Hub highlight his industry engagement. Research interests span semiconductor ring lasers, ultrashort pulse lasers, and coupled ring resonators on silicon-on-insulator platforms. His work integrates materials science (e.g., alumina/silicon nitride) with quantum and optical engineering innovations. Over 300 publications and presentations at conferences like CLEO and ECOC reflect his global impact. Current efforts emphasize mid-infrared sensing, cold atom systems, and high-precision laser development. His lab develops photonic components for atomic trapping, quantum communication, and biomedical sensing. Recent advancements include sub-kHz linewidth lasers and low-loss waveguides. Funding from UK Research and Innovation supports his exploration of next-generation photonic technologies.

• Integrated Optics
• Silicon Photonics
• Semiconductor Lasers
• +۳ مورد دیگر

Timothy M. Hospedales is a Professor of Artificial Intelligence at the Institute of Perception, Action and Behaviour within the School of Informatics at the University of Edinburgh . He also serves as VP AI and Head of Samsung AI Research Centre Europe . His research focuses on efficient and robust AI , emphasizing meta-learning , lifelong transfer-learning , and domain adaptation in both probabilistic and deep learning frameworks. Applications span computer vision , vision and language , reinforcement learning for robotics , and finance . Professor at University of Edinburgh (2020–present) ELLIS Fellow (2021) Head of Samsung AI Research Europe (2020–present) Founding Director of Applied Machine Learning Lab at QMUL (2012–2016) His work includes pioneering contributions to meta-learning , few-shot learning , and self-supervised methods , with notable awards such as the Best Paper Prize at ICML AutoML 2018 and Best Student Paper at ICPR 2018 . He has co-authored 15+ recent papers on topics like Vision-Language Models , Medical AI Fairness , and Diffusion Model Optimization . He served as Program Co-Chair for BMVC 2018 and AAAI 2022 , and authored a book on Visual Adaptation in the Deep Learning Era (2022). Co-Chair, BMVC 2018 Guest Editor, IET CV Special Issue (2016) Keynote Speaker at TASK-CV Workshop (ECCV 2016) Special Issue on Fewer Labels (IEEE PAMI 2020) His leadership extends to organizing workshops like the Learning-to-Learn Workshop at ICLR 2021 , Meta-Learning Workshop at NeurIPS 2020 , and Domain Generalisation Workshop at ICLR 2023 . Current projects include Meta-Omnium (CVPR 2023) for general-purpose meta-learning and MetaAudio (ICANN 2022) for few-shot audio classification benchmarks.

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +۶ مورد دیگر

Mark Gales is Professor of Information Engineering at the University of Cambridge and an Official Fellow at Emmanuel College. He is currently on sabbatical leave for the 2024/25 academic year. Prior to his academic career, he worked as a consultant at Roke Manor Research Ltd, developing radar systems, before transitioning to speech and language processing. PhD in 'Model-Based Techniques for Robust Speech Recognition' (University of Cambridge, 1995) BA in Electrical and Information Sciences (University of Cambridge, 1988) His research focuses on speech and language processing , particularly in automated language assessment and low-resource speech technology . He leads the Automated Language Teaching and Assessment (ALTA) Institute , which collaborates with Cambridge University Press & Assessment (CUP&A) to develop commercial tools like Linguaskill and Speak & Improve . These platforms provide automated spoken/written assessment for millions of users globally. Recent publications highlight his work in LLM-driven speech processing , including adversarial attacks on foundation models, end-to-end spoken error correction, and uncertainty estimation frameworks. His team's research spans multilingual capabilities, with deployments in languages ranging from Dholuo to Tok Pisin . Awards : IEEE Fellow, ISCA Fellow Leadership : Fellows' Steward at Emmanuel College Mark has contributed extensively to Hidden Markov Model (HMM) applications in speech recognition, which underpinned early automatic speech systems. His work now bridges LLM-based language assessment with cross-lingual transfer learning and robustness testing for real-world deployments.

• Speech Processing
• Language Assessment
• Natural Language Processing
• +۳ مورد دیگر

Laurence Hunt is an Associate Professor of Experimental Psychology at the University of Oxford and a Tutorial Fellow in Psychology at St John's College. He leads the Laboratory of Decision Dynamics, focusing on neural mechanisms underlying decision-making. His work integrates mathematical models with electrophysiological techniques in humans and animal models to study behavioral and neural data. Key roles include the Wellcome/Royal Society Sir Henry Dale Fellowship and prior postdoctoral positions at UCL and Oxford's Department of Psychiatry. Education: D.Phil in Neuroscience from the University of Oxford (2007-2011), pre-clinical Medicine at Cambridge University. Research emphasizes cognitive computational neuroscience, particularly how neural systems process value, uncertainty, and learning. Collaborators include notable figures like Matthew Rushworth and Christopher Summerfield. Scientific Awards: Wellcome/Royal Society Sir Henry Dale Fellow Advising & Grants: His research is supported by fellowships, though specific grants or advisees are not detailed. The Hunt Lab actively explores topics such as reward processing, decision dynamics, and neural geometry using advanced analytical methods. Labs/Teams: Director of the Laboratory of Decision Dynamics, part of the Department of Experimental Psychology. Engaged in interdisciplinary collaborations across Oxford and international institutions.

• Neuroscience
• Cognitive Science
• Decision-Making
• +۳ مورد دیگر

Professor John Pickett serves as Chair of the School of Chemistry at Cardiff University, where he holds the position of Professor of Biological Chemistry. His research program has established him as a leading figure in chemical ecology with significant contributions to understanding chemically mediated interactions between organisms. Professor Pickett's research focuses on chemical ecology involving chemically mediated interactions between various organisms, particularly pests attacking plants and animals. His work encompasses the chemical characterisation of pheromones and other semiochemicals across plants and animals, including insect pests and beneficial organisms. He investigates stress-related chemical signalling by plants and vertebrates (including humans and farm animals), elucidates biosynthetic pathways to pheromones and other semiochemicals, and explores how these compounds can be exploited in pest management through ecological approaches and genetic modification. Analysis of Professor Pickett's recent publications reveals a sustained and impactful research trajectory spanning chemical ecology, agricultural science, and sustainable development. His work demonstrates remarkable continuity in investigating semiochemicals and pheromones while expanding into interdisciplinary areas including AI applications for sustainable futures and the economic impacts of agricultural innovations. A consistent theme throughout his career is the practical application of chemical ecology principles to develop sustainable pest management solutions, particularly through the development and refinement of push-pull farming systems that have transformed agricultural practices in Africa.

• Chemical Ecology
• Pheromone Research
• Semiochemicals
• +۶ مورد دیگر

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 Shaomin Wu is a faculty member at the University of Kent's Kent Business School, where he holds the academic rank of Professor of Business/Applied Statistics. He earned an MSc and PhD in applied statistics and has extensive industry experience, including a five-and-a-half-year stint at a global manufacturer in Shanghai before moving to the UK in 2001. He has held roles as a postdoctoral researcher and lecturer before joining Cranfield University and later the University of Kent. His research focuses on recurrent event data analysis, machine learning, and reliability mathematics, with funding from the EPSRC and ESRC. His research projects include managing risk in warranty servicing policies, smart data analytics for local government, and sustainable supply chain demand forecasting. He teaches modules such as risk analysis, reliability engineering, and machine learning. Currently supervising PhD students in time series forecasting, explainable AI, and recurrent event data analysis, he also serves as a co-chair of international conferences, editorial board member, and external examiner for doctoral degrees. Notably, he ranks among the top 2% of global scientists by Stanford University. His work integrates machine learning with business analytics, resilience engineering, and environmental sustainability. Key contributions include IoT-driven resilience methodologies for smart grids and unmanned systems, as well as frameworks for corporate carbon disclosure and maintenance optimization under uncertainty.

• Machine Learning
• Business Analytics
• Risk Management
• +۵ مورد دیگر

Mike Grimble is a Research Professor in the Department of Electronic and Electrical Engineering at the University of Strathclyde, Faculty of Engineering. His work is centered on advanced control systems with applications across automotive, aerospace, marine, and industrial domains. He is actively involved in theoretical and applied research, particularly in nonlinear and robust control methodologies. Research Interests: Theory and application of nonlinear and robust control for multivariable systems Adaptive control and estimation methods Benchmarking and performance assessment of control systems Condition monitoring and industrial applications Real-time control and embedded systems His recent publications highlight a strong trend in applying predictive and adaptive control techniques to electric vehicles, battery systems, underwater robotics, and industrial machinery. These works emphasize real-time implementation, energy optimization, and robustness—critical for modern sustainable and autonomous systems. Scientific Recognition and Activities: Invited speaker on the benefits and challenges of advanced control in industrial applications (2013) Contributor to UN Sustainable Development Goals, particularly in sustainable industry and innovation Active research output with over 158 publications, including journals, conferences, and book chapters Research Leadership and Funding: Principal Investigator on multiple EPSRC and RSE-funded projects Co-investigator in interdisciplinary initiatives such as the Medical Devices Doctoral Training Centre Organizer of international workshops on hybrid and predictive control Labs and Research Teams: He is associated with the Industrial Control Centre at the University of Strathclyde, a leading hub for control engineering research. His collaborations span departments and institutions, involving real-time LabVIEW implementations, hardware demonstrations, and partnerships with industry players like National Instruments and Quanser Inc.

• Nonlinear Control
• Robust Control
• Adaptive Control
• +۷ مورد دیگر

Rachel Sippy is a Research Fellow at the University of Cambridge , specializing in epidemiology and infectious disease dynamics within the Department of Psychiatry . Her work bridges public health, climate science, and computational methods.

• Epidemiology
• Vector-Borne Diseases
• Dengue Fever
• +۴ مورد دیگر

Gian-Luca Oppo is Professor of Computational and Nonlinear Physics at the University of Strathclyde and Director of the Institute of Complex Systems. His research spans nonlinear photonics, quantum cavity solitons, Bose-Einstein condensates, and optical pattern formation. Oppo develops theoretical models for laser dynamics, quantum correlations in light sources, and soliton formation in microresonators. Recent work (2024-2025) explores topological photonics applications in frequency combs, polarization symmetry breaking for optical Ising machines, and optomechanical quantum droplet dynamics. He has made fundamental contributions to understanding spontaneous symmetry breaking in Kerr resonators and control of extreme optical events. Oppo's group collaborates internationally on experimental implementations of photonic computing architectures and quantum sensing technologies. Honors include the Occhialini Medal (2011), Royal Society-Leverhulme Senior Research Fellowship (2003), and fellowships from the Royal Society of Edinburgh, OSA, and Institute of Physics.

• Nonlinear Photonics
• Quantum Cavity Solitons
• Bose-Einstein Condensates
• +۲ مورد دیگر

Banu Lokman is a Professor of Operational Research (OR) at the University of Portsmouth, serving as Associate Head (Research and Innovation) in the School of Organisations, Systems and People within the Faculty of Business & Law. She leads the Centre for Innovative and Sustainable Finance and contributes to the Centre for Operational Research & Logistics. Her expertise spans multi-criteria decision-making, optimization, and their applications in healthcare and sustainability. She holds editorial roles at OMEGA and the IMA Journal of Management Mathematics and organizes the NATCOR MCDM courses. Previously, she served as Deputy Director of CORL (2011–2024), Secretary of the International MCDM Society, and Board Member of INFORMS MCDM Section. She currently chairs the INFORMS MCDM Section as President-elect/Vice-President. Education: BSc, MSc, and PhD in Industrial Engineering from Middle East Technical University (METU, Turkey), followed by postdoctoral research at Aalto University (Finland). She taught at METU (2014–2019) and held visiting roles at Aalto University. Research Interests: Focuses on developing optimization methods for multi-criteria decision problems, particularly in healthcare (e.g., optimizing prostate biopsy decisions with Portsmouth NHS Trust) and sustainability. Her work emphasizes algorithms for nondominated set representation, robust efficiency analysis, and cluster ensemble methods. Key Awards: Bernard Roy Award (2022) for outstanding contributions to Multiple Criteria Decision Aiding, and Young Researcher Award (2015). Advising & Grants: Leads a healthcare-related PhD project and contributes to projects like the Social Investment Fund collaboration with Waltham Forest Council. She actively supervises students and participates in research initiatives on supply networks and data control systems. Labs & Teams: Engaged with interdisciplinary teams in operational research and logistics, particularly in applying OR to real-world challenges such as energy market optimization and MRO supply networks.

• Operational Research
• Multi-criteria Decision Making
• Optimization
• +۳ مورد دیگر

Dr. Eva-Maria Graefe is a Royal Society University Research Fellow and Senior Lecturer in the Department of Mathematics at Imperial College London. She specializes in quantum dynamics, focusing on the interplay between quantum and classical systems, particularly chaos and dissipation in non-Hermitian systems. Her research explores foundational questions such as how quantum motion relates to macroscopic physical laws and how dissipation can be engineered to control quantum behavior. Education: She earned her PhD in theoretical quantum physics from the Technical University of Kaiserslautern, Germany, followed by a postdoctoral position at the University of Bristol’s mathematical physics group. She joined Imperial College in 2010 as a Junior Research Fellow. Research Interests: Her work spans non-Hermitian quantum systems (e.g., PT-symmetric models), quantum chaos, semiclassical quantization, and Bose-Hubbard systems. She investigates exceptional points, Landau-Zener transitions, and the dynamics of open quantum systems with losses or gain. Her group is supported by the Royal Society and an ERC Starting Grant. Scientific Contributions: Notable achievements include studies on Husimi distributions in non-Hermitian systems, quantum-jump dynamics, and the semiclassical analysis of Bloch oscillations in dissipative lattices. Teaching & Outreach: She teaches quantum mechanics to undergraduates and Master’s students and engages in outreach to inspire high school students. She mentors a research group of PhD and Master’s students. Labs/Teams: Her lab focuses on theoretical and computational studies of quantum dynamics, supported by advanced grants and collaborations within Imperial’s Faculty of Natural Sciences.

• Quantum Mechanics
• Quantum Dynamics
• Non-Hermitian Quantum Systems
• +۳ مورد دیگر

Professor Tariq Butt of Swansea University's Faculty of Science and Engineering leads the Biocontrol and Natural Products (BANP) group , focusing on entomopathogenic fungi and natural product-based biopesticides for managing pests impacting food security , human health , and agriculture . He co-directs the Natural Products BioHub and Health Technology Solutions Research Institute . His cross-disciplinary research includes collaborations with Dr Joel Loveridge (Chemistry) for chemical ecology, Professor Chedly Tizoui (Engineering) for plant-based molluscicides, and Professor Dan Eastwood (Biosciences) for fungal biocontrol. Externally, he works with experts in Greece, Brazil, Turkey, Saudi Arabia , and companies like Certis Belchim and Lallemand . Recent publications highlight his work on fungal volatile organic compounds for pest control, mosquito repellents , and microbial consortia to reduce chemical dependencies. He has supervised over 35 PhD/MSc students and contributed to 174+ peer-reviewed articles and 14 book chapters .

• Biological Control
• Natural Products
• Entomopathogenic Fungi
• +۳ مورد دیگر

Dr Stathis Tingas is a Lecturer at Edinburgh Napier University's School of Computing Engineering and the Built Environment. His research focuses on hydrogen fuel systems, combustion engineering, and sustainable transportation technologies. With numerous publications in high-impact journals and conference proceedings, Dr Tingas has established himself as a significant contributor to the field of alternative energy systems. Dr Tingas' research interests center on hydrogen and ammonia as alternative fuels for transportation, with particular emphasis on combustion characteristics, engine performance, and emissions control. His work spans theoretical modeling, computational analysis, and practical applications for decarbonizing various transportation sectors including aviation, heavy-duty vehicles, and maritime transport. Recent publications demonstrate his focus on hybrid propulsion systems combining fuel cells with traditional engine technologies. Dr Tingas' publication record shows consistent productivity with research outputs spanning from fundamental combustion science to applied engineering solutions. His work often employs computational singular perturbation techniques for analyzing complex combustion phenomena, with recent focus shifting toward practical applications of hydrogen and ammonia fuels in real-world engine systems. The trend in his publications indicates growing emphasis on zero-emission transportation solutions aligned with net-zero targets. Dr Tingas serves as a second supervisor for PhD students, including Richard Wallace who is working on subsurface hydrogen storage simulation. He has successfully secured multiple research grants from UK government bodies including the Department for Science, Innovation & Technology, Scottish Government, and the Royal Society of Edinburgh, with projects totaling over £500,000 in funding. His current research portfolio includes projects focused on accelerating clean energy technology development, creating sustainable cities, advancing electromobility, and developing zero-carbon hydrogen engines for heavy transport applications. These projects demonstrate his commitment to addressing practical challenges in the transition to sustainable energy systems.

• Hydrogen fuel
• Combustion engineering
• Alternative energy systems
• +۷ مورد دیگر

Bernhard von Stengel is a Professor of Mathematics at the Department of Mathematics, London School of Economics and Political Science . His work bridges game theory, computational complexity , and mathematical economics , with a focus on equilibrium computation and algorithmic aspects. Developed Game Theory Explorer , open-source software for analyzing strategic and extensive-form games. Organized major workshops like What is Strategic Information? (2024) and Game Theory and Machine Learning (2023). Authored the textbook Game Theory Basics (Cambridge University Press, 2021). His research spans zero-sum games , correlated equilibrium , inspection games , and communication over noisy channels . Recent work includes characterizing the Condorcet dimension of metric spaces (2024) and stable-set bounds for Nash equilibria in bimatrix games. He has collaborated with institutions like the Game Theory Society and contributed to public discourse via talks on algorithms' societal impact (2021) and game theory in politics (2020).

• Game Theory
• Algorithmic Game Theory
• Computational Complexity
• +۲ مورد دیگر