جستجوی استاد راهنمای دانشگاهی

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

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).

• Reinforcement Learning
• Multi-Agent Systems
• Deep Learning
• +۲ مورد دیگر

Shimon Whiteson is Professor of Computer Science at the University of Oxford, leading the Whiteson Research Lab focused on reinforcement learning, multi-agent systems, and deep learning. His research develops algorithms for efficient learning in complex environments. Current work explores meta-reinforcement learning frameworks that enable agents to rapidly adapt to new tasks, with applications in autonomous driving simulation and robotics. Recent innovations include novel methods for offline reinforcement learning, multi-agent coordination, and morphology-aware control. Publications demonstrate advances in: Meta-RL algorithm design for few-shot adaptation Multi-agent reinforcement learning environments and benchmarks Imitation learning in autonomous driving Bayesian methods for sample-efficient learning Research outputs include widely used benchmarks and tools including JaxMARL for accelerated multi-agent RL research. Current doctoral supervision focuses on temporal abstraction in RL, multi-agent coordination, and reinforcement learning theory.

Walid Magdyمشاهده پروفایل

استاد

• Computational Social Science
• Natural Language Processing
• Social Content Analysis
• +۸ مورد دیگر

Walid Magdy is a Professor at the School of Informatics, The University of Edinburgh, where he is a faculty member at the Institute for Language, Cognition and Computation (ILCC). He holds a PhD from Dublin City University's School of Computing and has been a faculty fellow at The Alan Turing Institute. With substantial industry experience, he has worked for Qatar Computing Research Institute (QCRI), Microsoft, and IBM, where he filed nine patents. His research spans computational social science and natural language processing. In computational social science, he focuses on social content analysis, political bias detection, polarization, and users' behavior analysis/prediction, with particular attention to understudied communities. His natural language processing work centers on social applications including sentiment analysis, sarcasm detection, and hate-speech identification, with specialized expertise in Arabic and its dialects as well as Persian. Professor Magdy's recent publications demonstrate a consistent focus on Arabic language processing and social media analysis, with growing attention to cultural factors in NLP systems. His work bridges computational methods with social science questions, particularly regarding misinformation, cultural differences in online behavior, and the impact of platform policies on diverse linguistic communities. He has expanded his research to include Persian language processing and continues to explore social dynamics across different cultural contexts. His significant contributions have been recognized with multiple awards: Best Demo Award for TwiXplorer at CSCW 2024 Outstanding Paper Award at ACL 2024 Best Paper Award Runner-up at SocInfo 2022 Best Paper Award at WANLP-EMNLP 2022 Best Paper Award at AIRS 2015 Best Dataset Award at ICWSM 2013 Professor Magdy serves as an editor for Springer's Social Network Analysis and Mining journal and has held leadership roles in major conferences including ACL 2023, ArabicNLP 2023, ICWSM 2022, and ASONAM 2022. He has co-organized numerous shared tasks focused on Arabic language processing and social media analysis, contributing significantly to community resources and benchmarks. He founded and directs the Social Media Analysis and Support for Humanity (SMASH) research group at the University of Edinburgh, which has organized the Summer School in Computational Social Science (SICSS-Edinburgh) in 2022, 2023, and 2025, training researchers in computational social science methodologies.

Andrew Stephenمشاهده پروفایل

استاد

• Digital Marketing
• Social Media Strategy
• Consumer Behavior
• +۵ مورد دیگر

Andrew Stephen is the L’Oréal Professor of Marketing and Deputy Dean for Faculty and Research at Saïd Business School, University of Oxford. He leads the Marketing faculty and directs the Oxford Future of Marketing Initiative, focusing on emerging technologies like AI and data-driven strategies in marketing, media, and advertising. His research explores digital marketing, consumer behavior, and the impact of new technologies, earning him recognition as a top global marketing scholar. His academic contributions span leading journals such as the Journal of Consumer Research and Harvard Business Review. He serves as editor of the Journal of Consumer Research, co-editor of the International Journal of Research in Marketing, and actively engages with industry through councils like the Mobile Marketing Association’s Brand Safety Council. Teaching responsibilities include marketing curriculum oversight and courses across MBA, Executive MBA, and DPhil programs, focusing on digital transformation, marketing analytics, and the future of marketing. His work bridges academic rigor with industry relevance, addressing challenges in tech-enabled marketing and global brand strategies. Awards: Top marketing academic in the UK (AMA), featured in Poets & Quants’ top 40 under 40, multiple research excellence awards. Labs/Initiatives: Oxford Future of Marketing Initiative, fostering collaborations with leading companies to tackle industry challenges. Grants/Advising: Extensive industry partnerships and academic grants not explicitly detailed in the text.

David Stillwellمشاهده پروفایل

استاد

• Psychometrics
• Computational Social Science
• Big Data Analytics
• +۳ مورد دیگر

David Stillwell serves as Professor of Computational Social Science at Cambridge Judge Business School and Academic Director of The Psychometrics Centre, University of Cambridge. His research leverages big data to understand human psychology and behavior, with significant contributions in personality prediction from digital footprints and personalized advertising applications. His educational background includes: BSc in Psychology from the University of Nottingham (2007) MSc in Research Methods from the University of Nottingham (2008) PhD in Decision Making from the University of Nottingham (2012) Dr. Stillwell's research centers on computational social science and psychometrics, pioneering the myPersonality Facebook application that collected data from over 6 million users. His work demonstrates computers can predict personality as accurately as spouses, reveals psychological targeting's advertising effectiveness, and establishes links between personality-matched spending and life satisfaction. He also explores linguistic honesty markers through profanity analysis and personality-based dating patterns. His recent publications (2019-2025) reveal a strong trajectory toward AI evaluation using psychometric frameworks, particularly in medical and general-purpose AI assessment. Key themes include fairness metrics in language models, crisis emotional responses through social media, and computational personality recognition - demonstrating consistent innovation at the psychology-technology intersection. He has received significant recognition: Top 10 most influential papers of 2013 by Altmetric Nieman Journalism Lab highlight of 2013 Named in 'top 30 thinkers under 30' by Pacific Standard Magazine Dr. Stillwell maintains active industry engagement through consultancy with Barclays, Hilton, and Ubisoft on projects spanning computer-adaptive testing systems to interactive experiences like Predictive World for Watch Dogs 2. His policy impact is substantial, with citations by the European Data Protection Supervisor, World Bank, and multiple national governments, leading to speaking engagements at the European Parliament and Bank of England. As Academic Director of The Psychometrics Centre, he leads a global hub for advancing psychological assessment through innovative methods including Concerto open-source software, collaborating with organizations ranging from the European Commission to major corporations on psychometric applications in people analytics and digital behavior.

Rebecca Lawsonمشاهده پروفایل

استاد

• Computational Neuroscience
• Neuroscience
• Psychiatry
• +۶ مورد دیگر

Professor Rebecca Lawson is a Professor of Neuroscience and Computational Psychiatry at the University of Cambridge, affiliated with the Department of Psychology and Bye-Fellow at Peterhouse College. Her research focuses on understanding how humans learn to make predictions under uncertainty, with applications to mental health conditions such as anxiety and depression. She leads the Prediction and Learning (PaL) Lab, which combines computational modeling, neuroimaging (e.g., 7T MRI), and behavioral experiments to study cognitive processes in typical and atypical populations. Key research interests include computational psychiatry, autism spectrum disorders, neuroimaging techniques, and the neurochemical basis of learning mechanisms. She has received significant funding, including a £4.3m Wellcome Mental Health Award and the Sir Henry Dale Fellowship. Notable contributions include advancing theories of neural gain and sensory expectations in autism, as well as studies on uncertainty processing in anxiety and depression. Professor Lawson holds academic awards such as the BNPA Lishmann Prize and the BAP Psychopharmacology Award. She actively contributes to public engagement, including initiatives like Knit-a-Neuron and involvement with PrideinSTEM. Her lab collaborates internationally, with projects like the CamRAA study investigating autism-anxiety overlaps and the Chemical and Brain Basis of Uncertainty (CBBU) study exploring pharmacological interventions. Education: PhD in Cognitive Neuroscience (University of Cambridge), BA (Hons) Psychology & Philosophy (University of Glasgow). Grants: £4.3m Wellcome Award, Parke-Davis Fellowship, Lister Institute Prize. Labs/Teams: Principal Investigator of the PaL Lab; collaborations with MRC Cognition and Brain Sciences Unit, Yale University, and Brown University.

• Neurosciences
• Biomedical Engineering
• Cognitive Sciences
• +۴ مورد دیگر

Dr. Juan Alvaro Gallego is a Senior Lecturer (equivalent to Associate Professor) in the Department of Bioengineering at Imperial College London's Faculty of Engineering. He leads the Behaviour and Neural Dynamics Lab (Be.Neural), a multidisciplinary team focused on understanding neural mechanisms underlying motor control and spinal cord learning, with applications in developing neural interfaces to restore movement in conditions like Parkinson’s disease and paralysis. His research integrates behavioral experiments, neural recordings, data analysis, and computational models, funded by the ERC, EPSRC, ARIA, and industry partners like InBrain Neuroelectronics and Meta Reality Labs. Research interests include motor control, neural dynamics, and clinical applications of neural engineering. The lab collaborates across systems neuroscience and biomedical engineering, aiming to translate fundamental discoveries into therapeutic technologies. Key areas of focus include neural manifolds, synaptic plasticity in motor learning, and closed-loop neuroprosthetics for tremor management. Funding sources include the European Research Council, Engineering and Physical Sciences Research Council, and industry collaborations. The Be.Neural Lab’s work is showcased on their dedicated website (https://beneural.ic.ac.uk).

Haitao Shiمشاهده پروفایل

پژوهشگر

• Criminal Justice
• Drug Policing
• Research Methods
• +۳ مورد دیگر

Dr Haitao Shi is a Researcher affiliated with the School of Social and Political Science at the University of Edinburgh. His research focuses on criminal justice systems, drug policing in China, and the intersection of technology with crime. He employs advanced research methods including quantitative tools (R, Python, SPSS), qualitative software (Nvivo, MAXQDA), and data visualization techniques (Gephi, QGIS). His current projects include studying Chinese students' experiences at the University of Edinburgh and analyzing rhizomatic networks in online drug trade funded by the Polish Ministry of Science. Haitao's work emphasizes cross-cultural comparisons, particularly in drug trade dynamics across Finnish, Polish, and English-speaking contexts. He explores topics like police professionalization in China, guanxi networks, and quota-driven policing strategies. His methodologies span cloud computing (Azure, AWS), database systems (MySQL), and version control (Git), reflecting a technologically adept approach to criminology research. Notable research themes include the role of marketing in darknet drug trade, generational conflicts in police culture, and community-based drug rehabilitation policies. He collaborates with international teams and utilizes platforms like Microsoft Azure for large-scale data analysis.

• Brain Plasticity
• Motor Learning
• Neurorehabilitation
• +۵ مورد دیگر

Dr. Cassandra Sampaio Baptista is a Lecturer at the University of Glasgow's School of Psychology & Neuroscience. Her research focuses on brain plasticity in adulthood, particularly exploring how experiences like skill learning or rehabilitation influence structural and functional changes in the brain. She employs neuroimaging techniques such as fMRI neurofeedback and MRI to investigate mechanisms of myelin and white matter plasticity. Her work emphasizes translational applications, including stroke rehabilitation and promoting healthy aging. Key contributions include demonstrating myelin's role in motor learning and developing MRI protocols for white matter analysis. She collaborates on projects funded by the BIAL Foundation (2025–2026) and has supervised multiple postgraduate students. Recent publications highlight studies on oligodendrocyte dynamics, neurofeedback interventions for stroke survivors, and cross-species neuroscience approaches. While no specific awards are listed, her extensive publication record reflects her leadership in neuroplasticity research.

Yvonne Rogersمشاهده پروفایل

استاد

• Ubiquitous Computing
• Interaction Design
• Human-Computer Interaction
• +۱ مورد دیگر

Yvonne Rogers is a Professor of Interaction Design and Director of the UCL Interaction Centre (UCLIC), with a joint appointment as Deputy Head of the Department of Computer Science at University College London. She joined UCL in 2011 after holding professorships at the Open University (2006-2011) and Indiana University (2003-2006). Her pioneering work spans ubiquitous computing, interaction design, and human-computer interaction, with a current focus on human-centered AI. She co-authored the definitive 'Interaction Design' textbook (6 editions, 300,000+ copies) and serves as CTO of LetThink.com. Research interests center on designing technologies that enhance human cognition and daily activities: Ubiquitous Computing: Augmenting learning/work activities through pervasive technologies Human-AI Interaction: Developing AI systems that enhance human decision-making Health Technologies: Creating VR therapies and ADHD support systems Community Resilience: Designing tools for environmental monitoring and sustainable practices Publication analysis reveals three dominant trends: (1) VR applications for mental health (emotion regulation, ADHD support), (2) AI systems for cognitive augmentation, and (3) community-centered tools for healthcare/environmental challenges. Recent work demonstrates strong emphasis on vulnerable populations including children with ADHD, older adults, and postoperative patients. Major scientific recognition includes: International Member, National Academy of Engineering (2024) ACM SIGCHI Lifetime Research Award (2022) Royal Society Robin Milner Medal (2022) Royal Society Fellowship (2022) Microsoft Outstanding Collaborator Award MRC Suffrage and Science Award (2020) Triple Fellow status (ACM, BCS, CHI Academy) Advises PhD students including Leon Reicherts, Sheena Visram, and Tu Duong. Secured major grants including EPSRC Dream Fellowship on ageing/computing and led the Intel Collaborative Research Institute on Sustainable Connected Cities (2012-2018). Directs UCLIC research center and previously established the Pervasive Interaction Lab at Open University.

Marina Jirotkaمشاهده پروفایل

استاد

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

• Computational Creativity
• Music Intelligence and Personalisation
• Semantic Music Web

Dr Jacopo de Berardinis is a Lecturer (Assistant Professor) in Music AI, focusing on computational methods for music analysis and information retrieval. His work spans three key areas: Computational Creativity , Music Intelligence and Personalisation , and the Semantic Music Web , aiming to enhance musical understanding and education through AI-driven agents. Prior to his current role, he held positions at the University of Manchester (S+T+ARTS MUSAE project) and King's College London (EU H2020 Polifonia project, where he led the INTERLINK pilot). He earned a PhD in Machine Learning from the University of Manchester, specializing in the automatic evaluation of generative models for music composition. Scientific awards include the AHRC Innovation Accelerator Grant (2022-2026), supporting interdisciplinary research at the intersection of artificial intelligence and musicology. His work emphasizes personalized music experiences for well-being and advancing creative applications of AI in music.

Marianna Patrickمشاهده پروفایل

پژوهشگر ارشد

• Intercultural Communication
• Generative AI in Academic Writing
• Migration Studies
• +۳ مورد دیگر

Marianna Patrick is a Research Fellow at the School of Education, Learning and Communication Sciences (SELCS), University of Warwick. She holds a PhD in Intercultural Communication (2025), MA in Global Communication from the Chinese University of Hong Kong (2013), and BA (Hons) in Politics and International Studies from Warwick University (2012). Her research focuses on generative AI in academic writing, migration narratives, and intercultural communication. She leads a Leverhulme Trust-funded project on AI chatbots' impact on academic writing practices, collaborating with the University of Edinburgh and Sophia University Tokyo. Research & Education: Her doctoral work explored language and place construction in serial migration narratives, supervised by Prof. Stephanie Schnurr and Prof. Steve Mann. She also contributed to Monash-Warwick Alliance projects on multicultural cricket team inclusivity. She teaches professional skills and research methods across Computer Science and Applied Linguistics departments, supervising MSc dissertations in intercultural communication. Awards & Engagement: Received the People's Choice Prize at the Warwick Research Festival. Actively promotes interdisciplinary collaboration through initiatives like the Social Sciences Research Exchange Group (co-founder) and chairs the Applied Linguistics PGR Student-Staff Liaison Committee. She also contributed to EDI efforts as part of the Athena Swan team and served as Assistant Director of Student Experience and Progression for the Faculty of Arts.

Lixin Chengمشاهده پروفایل

مدرس ارشد

• Multiphase Flow and Heat Transfer
• Thermal Energy Systems
• Sustainable Energy
• +۳ مورد دیگر

Dr. Lixin Cheng is a Senior Lecturer in Chemical Engineering at the Department of Engineering and Mathematics, Sheffield Hallam University, where he contributes to teaching core modules such as Transport Phenomena and oversees the chemical engineering program. His research focuses on multiphase flow and heat transfer, including enhanced heat transfer technologies, nanofluids, and carbon capture systems. He has held academic roles globally, including at Aarhus University, EPFL, and Xi'an Jiaotong University, and has extensive industry experience as a design engineer. Dr. Cheng is an Alexander von Humboldt Fellow and serves as editor-in-chief for multiple journals, including the International Journal of Microscale and Nanoscale Thermal & Fluid Transport Phenomena . Education: PhD in Thermal Energy Engineering (Xi'an Jiaotong University, 1998), followed by postdoctoral and research roles at leading institutions. His interdisciplinary research spans oil-gas-water systems, sustainable energy, and thermal energy management. He has authored over 80 papers and 8 books, with a focus on advancing thermal-fluid science and engineering applications. Research interests include gas-liquid two-phase flow dynamics, flow boiling/condensation, microchannel heat transfer, and CO₂-based thermal systems. His work bridges experimental studies, computational modeling, and industrial collaborations, addressing challenges in energy efficiency and environmental sustainability. Key contributions include editorial leadership in thermal-fluid journals, organizing international conferences (e.g., ISTFD), and developing predictive models for flow boiling in microchannels. His recent publications (2021–2025) emphasize green hydrogen systems, supercritical CO₂ applications, and heat transfer enhancement in microscale systems. Awards: Alexander von Humboldt Fellowship (2000–present). Grants and collaborations include partnerships with international universities and industry players, focusing on thermal-fluid innovation. Labs/Teams: Active in Sheffield Hallam's Engineering and Mathematics Department, leading interdisciplinary research in multiphase systems and sustainable energy solutions.

• Applied Thermodynamics
• Heat Pump Systems
• Energy Efficiency
• +۳ مورد دیگر

Dr Muhammad Abid serves as Lecturer in Mechanical Engineering at Ulster University's School of Computing, Engineering and Intelligent Systems on the Derry~Londonderry campus, where he also coordinates Degree Apprenticeships for Mechanical and Manufacturing Engineering programmes, driving industry-academia collaboration for workforce development. His academic credentials include a PhD in Applied Thermodynamics from Ulster University and a Postgraduate Diploma in Academic Practice from the University of Liverpool, complemented by over 15 years of international experience across UK and Middle Eastern institutions. Research focuses on decarbonizing thermal systems through advanced heat pump technologies, with expertise spanning applied thermodynamics, energy efficiency optimization, and sustainable heating/cooling solutions for residential applications. His work directly addresses UN Sustainable Development Goals through climate-resilient engineering innovations. Recent publications demonstrate consistent investigation into heat supply temperature effects on system performance and economics, establishing critical relationships between operating parameters, housing characteristics, and decarbonization pathways for domestic heating. Professional recognition includes: Chartered Mechanical Engineer (CEng MIMechE) Fellow of Advance HE (FHEA) As an educator, Dr Abid implements Education for Sustainable Development principles across curricula while supervising postgraduate research. He actively shapes sector policy through IMechE's Energy, Environment and Sustainability Group Board membership and serves as a Climate STEM Ambassador advancing public engagement with climate solutions.