جستجوی استاد راهنمای دانشگاهی

Prof. Ingmar Posner is a leading figure in applied artificial intelligence at the University of Oxford, where he serves as Principal Investigator for the Applied Artificial Intelligence Lab (A2I) and founding Director of the Oxford Robotics Institute. His work focuses on enabling robots to operate effectively in complex real-world environments through experience-driven learning. Key research areas: robot learning, scene interpretation, data-efficient learning, and transfer learning Applications in manipulation, autonomous driving, logistics, and space exploration His team has produced groundbreaking work in world models, sim-to-real transfer, and constraint-based manipulation systems (e.g., COMBO-Grasp). Notable contributions include the TWIST distillation framework and foundational research in tactile data generation (TactGen). He has received multiple best paper awards at top robotics venues. Publications reveal evolving research themes: 2025 work emphasizes language-conditioned learning (Lumos) and multi-agent decision-making, while 2024 focused on diffusion models for locomotion and differentiable simulators. Earlier work spans from urban scene analysis to physically plausible scene synthesis (RELATE).

• Robotics
• Artificial Intelligence
• Machine Learning
• +۴ مورد دیگر

Professor Andrew Davison holds the position of Professor of Robot Vision at Imperial College London's Department of Computing. He leads the Dyson Robotics Laboratory and the Robot Vision Research Group, focusing on advancing SLAM (Simultaneous Localization and Mapping) and Spatial AI. His groundbreaking work includes the MonoSLAM algorithm (2003), enabling real-time 3D vision for robotics and AR/VR. Current research emphasizes scalable, semantic-rich Spatial AI systems, as outlined in his FutureMapping papers (2018–2019). Education: BA in Physics (Oxford, 1994), D.Phil. (Oxford, 1998). Postdoctoral work at AIST, Japan (1998–2000), followed by a lectureship at Imperial (2002–present). Industrial collaborations include SLAMcore, a Spatial AI startup, and Dyson Robotics Lab. Over 18 PhD students supervised, many now leading roles at Meta, NVIDIA, SLAMcore, and academia. Notable contributions include DTAM, KinectFusion, and Event Camera SLAM. Recognized for software tools like SceneLib and contributions to robotics benchmarks (SLAMBench). Active on Twitter (@AjdDavison) for research updates.

• Computer Vision
• Robotics
• SLAM
• +۳ مورد دیگر

Andrew Zisserman is a Royal Society Research Professor at the University of Oxford's Department of Engineering Science, affiliated with the Visual Geometry Group (VGG). His research focuses on computer vision, artificial intelligence, and neural networks, with significant contributions to multimodal learning, video understanding, and 3D scene analysis. He leads projects exploring visual-language models, audio-visual synchronization, and clinical imaging applications. Key research areas include: Video analysis and temporal modeling Multimodal systems for sign language translation and action recognition 3D shape estimation and physical property inference Foundation models and cross-modal retrieval Recent work highlights: Developed Flamingo and Tapir models for video-language tasks Advancements in spinal MRI analysis and clinical imaging Leadership in EGO4D and VoxCeleb challenges Honors include Fellowship of the Royal Society (FRS) and the ISSLS Prize in Clinical Science 2023 for spinal analysis innovations. His lab collaborates globally, emphasizing real-world applications in healthcare and autonomous systems.

• Computer Vision
• Artificial Intelligence
• Machine Learning
• +۴ مورد دیگر

Michael A Osborne is Professor of Machine Learning at the University of Oxford and leads the Bayesian Exploration Lab . He serves as Director of the EPSRC Centre for Doctoral Training in Autonomous Intelligent Machines and Systems and co-directs the Oxford Martin AI Governance Initiative. His research focuses on Bayesian optimization, Gaussian processes, and probabilistic numerics with applications in quantum devices, battery modeling, and AI governance. Key Positions: Professor of Machine Learning, University of Oxford Official Fellow, Exeter College Co-founder of Mind Foundry Lead Researcher, Oxford Martin Programme on Technology and Employment Research Themes: Probabilistic modeling for quantum systems Uncertainty quantification in energy storage AI safety and societal impact analysis Automated experimental design Quantum device calibration Probabilistic numerical methods Technical Contributions: Bridging reality gap in quantum devices Efficient Bayesian quadrature techniques Personalized neurostimulation algorithms Automated measurement protocols Quantum-classical hybrid ML

• Machine Learning
• Bayesian Optimization
• Gaussian Processes
• +۳ مورد دیگر

Alessio Lomuscio is a Professor of Safe Artificial Intelligence at Imperial College London, holding the prestigious Royal Academy of Engineering Chair in Emerging Technologies and recognized as an ACM Distinguished Member. He leads the Safe AI Lab, which focuses on developing methods and tools for the verification of AI systems to ensure their safe and secure deployment in applications of societal importance. His research spans verification and robust learning for neural networks and decision trees, robust machine learning in aviation and finance, monitoring of machine learning systems, assurance for autonomous systems and AI, and verification and validation of neuro-symbolic systems. Lomuscio has made significant contributions to formal verification methods for AI systems, particularly in the context of safety-critical applications. His recent publications demonstrate a strong focus on neural network verification techniques, with applications across multiple domains including finance, aviation, and autonomous systems. His work bridges theoretical advances in formal methods with practical applications in real-world AI systems, addressing critical challenges in AI safety and trustworthiness. Scientific Awards: Royal Academy of Engineering Chair in Emerging Technologies ACM Distinguished Member Lomuscio has served in numerous leadership roles, including as Co-Director (2023-present) and Deputy Director (2019-2023) of the UKRI Centre for Doctoral Training in Safe and Trusted Artificial Intelligence. He has also held positions as Director of Strategy and Planning (2017-2020), Member of Management Committee (2013-2020), and Deputy Head of Department (2016-2017). His editorial service includes roles as Associate Editor for Artificial Intelligence Journal and Editorial Board Member for Journal of Artificial Intelligence Research and Journal of Autonomous Agents and Multi-agent Systems. His research group actively mentors students and researchers, with current openings for PhD and postdoctoral positions focused on AI verification and safety. Lomuscio's work has established him as a leading figure in the field of safe and verifiable AI systems, with significant contributions to both theoretical foundations and practical applications.

• Artificial Intelligence
• Machine Learning Verification
• Neural Network Verification
• +۵ مورد دیگر

Dr Rod Thornton is a Senior Lecturer in Russian Defence and Security Studies at King’s College London, affiliated with the Defence Studies Department and School of Security Studies. He specializes in the Russian military's kinetic and sub-threshold warfare, with a focus on cyber capabilities, space warfare, and UK homeland resilience. His research includes recent British Academy-funded work on UK civil defense capacity during the pandemic, advocating for dedicated civil defense organizations. He has published extensively on Russian military tactics in Ukraine, AI-cyber integration, and space-based deterrence. Russian military cyber operations Space warfare dynamics UK resilience capacity gaps Scientific awards include a British Academy grant (2020). His students focus on asymmetric warfare, AI, cyber, and regional security issues. He teaches at the UK Defence Academy and has collaborated with institutions in Finland, South Korea, and the Freeman Air and Space Institute.

• Russian Armed Forces
• Sub-threshold Warfare
• Cybersecurity
• +۳ مورد دیگر

Jakob Foerster is an Associate Professor at the University of Oxford's Department of Engineering Science and a Supernumerary Fellow at St Anne's College. He leads the FLAIR lab, focusing on multi-agent reinforcement learning (MARL), human-AI coordination, and AI foundational research. Previously, he was a Research Scientist at Facebook AI Research (FAIR) and holds a DPhil from Oxford. His work has been cited over 5,000 times and includes seminal contributions like QMIX and the Hanabi Challenge. Research interests span compute-efficient scaling of AI, MARL applications in finance and bio, and ethical AI. He actively collaborates across academia and industry, co-organizing workshops like NeurIPS' Emergent Communication. His lab emphasizes open-ended RL, environment design, and scalable algorithms. Notable awards include the CIFAR AI Chair (2019) and NeurIPS Best Paper Runner-Up (2018). Current efforts include FLAIR's research on zero-shot coordination and the JaxMARL framework. He advises students in Oxford's Engineering DPhil and AIMS CDT programs.

• Multi-Agent Learning
• Deep Reinforcement Learning
• Human-AI Coordination
• +۵ مورد دیگر

Sebastian Riedel is a Professor at University College London (UCL) and a Researcher at DeepMind, leading the UCL NLP Lab. His work focuses on teaching machines to read, reason, and write, integrating Natural Language Processing (NLP) with Machine Learning. He holds an Allen Distinguished Investigator award and has held roles at FAIR, UMass Amherst, Tokyo University, and the University of Edinburgh. Education: PhD in Computer Science from the University of Edinburgh (advisor: Ewan Klein), postdoctoral research at UMass Amherst (advisor: Andrew McCallum), and research at Tokyo University (advisor: Tsujii Junichi). Research Interests: NLP, machine learning, information extraction, and multimodal models like Gemini. He develops tools such as UCLEED (BioNLP event extractor), frontlets (Scala map wrappers), and thebibbrag (BibTeX to HTML converter). Awards: Allen Distinguished Investigator. Software contributions include GitHub repositories for NLP, machine learning, and data tools. Contact: s.riedel@ucl.ac.uk | Office: 1st Floor, 90 High Holborn, London WC1V 6LJ | Office Hours: Mondays 11 AM–12 PM.

• Natural Language Processing (NLP)
• Machine Learning
• Artificial Intelligence
• +۳ مورد دیگر

Professor Marina Jirotka is a leading academic in Human-Centred Computing at the Department of Computer Science, University of Oxford, and a Governing Body Fellow at St Cross College. She directs the Responsible Technology Institute and leads interdisciplinary research on responsible innovation in AI, robotics, and digital systems. University: University of Oxford School: Department of Computer Science Position: Professor of Human-Centred Computing Leadership: Director, Responsible Technology Institute Fellowships: EPSRC Established Career Fellowship (RoboTIPS) Her research focuses on integrating ethical, societal, and human values into technology design. Key areas include responsible innovation, human-computer interaction, algorithmic accountability, and socio-technical systems. She explores trust, transparency, and governance in autonomous systems, digital mental health, and quantum computing ethics. Her recent publications reflect a strong trend in responsible robotics, explainable AI, digital wellbeing, and ethical governance. Articles emphasize interdisciplinary methods, stakeholder engagement, and practical tool development such as the Ethical Black Box and TrustScapes. Themes span autonomous vehicles, social robots, algorithmic bias, and sustainability in digital innovation. Excellence in Teaching Award, University of Oxford (2006) ESRC/SSRC Fellowship (2007) UCLA Scholar Award (2011) EPSRC Established Career Fellowship (2018, 2019) Vice Chancellor’s Innovation Award Highly Commended (2020) She supervises numerous PhD and Master’s students and leads major grants including RoboTIPS, RAILS, PARIS-DE, and Adolescent Mental Health in the Digital World. She co-directs ORBIT, a leading RRI training provider, and contributes to policy through advisory roles with the House of Lords, All-Party Parliamentary Groups, and industry consortia. She is a member of the IEEE P7000 working group and the UK Committee for IIASA. Her lab work involves interdisciplinary teams focused on responsible technology design, public engagement, and ethical tool development.

• Responsible Innovation
• Human-Computer Interaction
• Ethics in AI and Robotics
• +۱۷ مورد دیگر

Marta Kwiatkowska is a Professor of Computing Systems at the University of Oxford and a Fellow of Trinity College. Her research focuses on probabilistic verification , quantitative model checking , and formal methods for complex systems including autonomous robots, medical devices, and biological systems. She leads the development of the PRISM and PRISM-games probabilistic model checkers. Key research areas: Probabilistic systems, formal verification, autonomous robotics, medical device analysis, systems biology Grants: ERC Advanced Grant VERIWARE, EPSRC Programme Grant Mobile Autonomy Awards: 2024 ETAPS Test-of-Time Tool Award for PRISM Students: Current and former advisees in topics spanning formal methods, robotics, and quantitative verification The PRISM-games extension enables verification of stochastic multi-player games with applications in network protocols, autonomous systems, and game theory. Her work bridges theory, algorithms, and practical implementation, with real-world applications in ubiquitous computing and nanotechnology.

• Probabilistic Verification
• Quantitative Model Checking
• Formal Methods
• +۴ مورد دیگر

Professor Beatrice Heuser is a distinguished academic in the Department of Politics within the School of Social & Political Sciences at the University of Glasgow. Her career spans multiple prestigious institutions across Europe, including King's College London, University of Reading, and visiting professorships at Sciences Po Paris, Bundeswehr University Munich, and MGIMO. She maintains significant affiliations with major strategic research institutes including Chatham House, RUSI, IFRI, and IRSEM. Education: BA from Bedford College London, MA from LSE, DPhil from Oxford (St Antony's/St John's), Habilitation from University of Marburg Professional Experience: Former Director of Studies at German Bundeswehr's military history research office, NATO Headquarters consultant, and extensive teaching across European institutions Her research centers on strategic studies with particular focus on the cultural dimensions of warfare, nuclear strategy, and the historical evolution of strategic thought. Key research areas include strategic culture, military exercises as political instruments, laws of war development, and European defense policy. Her work bridges historical analysis with contemporary security challenges, examining how cultural narratives shape strategic decision-making from antiquity to the nuclear age. Professor Heuser's recent publications demonstrate consistent scholarly output across strategic theory, military history, and contemporary security issues. Her work shows particular emphasis on the conceptual foundations of strategic culture, historical analysis of warfare evolution, and practical applications to modern security challenges including nuclear deterrence and asymmetric warfare. The interdisciplinary nature of her research connects political theory, historical analysis, and security studies. She actively supervises graduate students in strategic theory, nuclear strategy, insurgency studies, and defense policy-making within NATO/EU contexts. Her teaching portfolio includes War and International Relations, Defense Policy, and Strategic Theory courses.

• Strategic Studies
• War Theory
• Nuclear Strategy
• +۷ مورد دیگر

Dr. Fumiya Iida is a researcher affiliated with the University of Cambridge , contributing to interdisciplinary research through Cambridge Reproduction and the Department of Engineering . His work spans bio-inspired robotics , soft robotics , and embodied intelligence , with a focus on biomechanics and human-robot interaction. His research integrates evolutionary robotics , reservoir computing , and tactile sensing , aiming to bridge engineering, physiology, and synthetic biology. Recent publications highlight innovations in Soft robotic actuation Robust control systems Multimodal sensor integration Human-robot collaborative tasks Dr. Iida's 15 most recent 2025 articles emphasize reservoir computing , soft sensor design , and adaptive motor coordination , reflecting his commitment to advancing embodied intelligence in robotics. No formal awards or student advisement details were found in the provided texts.

• bio-inspired robotics
• evolutionary robotics
• soft robotics
• +۳ مورد دیگر

Vaishak Belle is a Reader in Logic and Learning at the School of Informatics, University of Edinburgh, and serves as Director of Research and Innovation at the Bayes Centre (40% position). His academic career focuses on the critical intersection of artificial intelligence, formal logic, and machine learning systems. His research spans multiple domains within AI: Neurosymbolic AI integration approaches Logic-based machine learning frameworks Ethics, fairness, and responsibility in AI systems Generative AI and its societal impact Robotics with advanced reasoning capabilities Causal modeling and probabilistic reasoning Belle leads a research laboratory dedicated to advancing neurosymbolic AI, which combines the explainability of symbolic systems with the learning capabilities of neural networks. His recent work has explored abduction in logical frameworks, formal languages for AI safety, and the relevance of logic for general-purpose AI systems. He has made significant contributions to bridging the gap between theoretical AI foundations and practical applications. His publications demonstrate consistent focus on creating AI systems that can reason formally while learning from data, with applications ranging from robotics to ethical decision-making frameworks. His research addresses fundamental challenges in developing trustworthy, explainable AI that can operate safely in complex environments. Beyond technical research, Belle is actively engaged in AI education through executive programs on AI leadership and ethics, and has contributed to public understanding through his children's book "The girl and the robot" which explores human-robot relationships and emotional projection onto artificial agents. He maintains an active presence in the international AI research community, regularly participating in major workshops including Dagstuhl seminars on neurosymbolic AI, and collaborating with researchers across disciplines from computer science to philosophy.

• Artificial Intelligence
• Neurosymbolic AI
• Logic and AI
• +۷ مورد دیگر

Dr. Chunyan Mu serves as a Senior Lecturer in the School of Natural and Computing Sciences at the University of Aberdeen, actively contributing to both academic instruction and cutting-edge research in computing science while currently accepting new PhD students. Her research program centers on Trustworthy AI and Safe Autonomy, with specialized expertise in formal verification of responsibility, accountability, and privacy mechanisms within multi-agent systems. She investigates resilience frameworks for autonomous intelligent systems and develops advanced methodologies for information flow security analysis, bridging theoretical computer science with practical security implementations. Analysis of her publication trajectory (2014-2025) reveals consistent innovation in applying formal methods to security-critical systems. Key thematic developments include probabilistic strategy logic for observability analysis, quantitative verification of opacity properties, and game-theoretic approaches to security verification, demonstrating increasing sophistication in handling multi-agent accountability and system resilience challenges. Dr. Mu currently supervises PhD candidates and offers a fully funded doctoral position focused on formal verification of safety properties in autonomous systems, providing comprehensive financial support including tuition coverage, £20,780 annual stipend, and dedicated research funding for candidates with strong backgrounds in formal methods and artificial intelligence.

• Artificial Intelligence
• Computer Security
• Multi-Agent Systems
• +۳ مورد دیگر

Professor Gopal Ramchurn is a Professor of Artificial Intelligence at the University of Southampton. He leads research in human-swarm interaction, explainable AI (XAI), and responsible AI governance. His work spans interdisciplinary projects funded by EPSRC, BAE Systems, and AXA SA, focusing on applications in healthcare, maritime systems, and autonomous technologies. He is a member of the Agents, Interaction and Complexity research group and contributes to initiatives like the National Edge AI Hub and the AI UK ecosystem. Research Projects: Includes AI management frameworks, human-swarm teaming performance, and ethical AI in healthcare. Supervision: Currently mentors 10 PhD students in Computer Science and related fields. His research interests emphasize ethical AI deployment, scalable AI systems, and collaborative human-AI decision-making. Notable achievements include the AAMAS Best Demonstration Award (2023 and 2025) for work on human-swarm interaction and contributions to XAI in medical decision support.

• Artificial Intelligence
• Human-Swarm Interaction
• Explainable AI (XAI)
• +۳ مورد دیگر