These are the staff members who are primarily responsible for supervising PhD students and overseeing research projects in ILCC. Academic staff also have teaching responsibilities. Image Emily AllawayReasoning, understanding implicit meaning, improving reasoning in real-world texts (dialogues, argumentation, text-based games)Personal pageBenjamin BachInteractive data visualizations for networks and temporal data, storytelling, immersive analyticsPersonal pagePeter BellAutomatic speech recognition, speech technology for under-resourced languages, unsupervised training, sequence-to-sequence modelsPersonal pageAlexandra BirchMultilingual NLP, Low-Resource NLP, Translation, Speech Analytics, NLP for Finance, Ethical and Trustworthy NLPPersonal page Image Julian BradfieldModal and temporal logics, model-checking, concurrency, independence logics, descriptive complexity and set theory, UML and modelling languages, natural language phonology.Personal pageTara CapelHuman-computer interaction, participatory design, interaction design, design methods, making and co-creation practices, in particular around: digital wellbeing, human-centred AI, generative AI, makerspaces, and civic and community engagementPersonal Page Image Shay CohenText generation, summarization, semantic and syntactic parsing, unsupervised learning, grammar learning, spectral learning.Personal pageAurora ConstantinHuman-Computer Interaction, Education Technology, Assistive Technologies, Technology for Autism, (Distributed) Participatory Design, Digital Accessibility, Multimodal Interaction, Artificial Intelligence and Human-Computer InteractionPersonal pageJeff DaltonText-based machine learning, Interactive Informational Retrieval, neuro-symbolic models, information extraction, conversational assistantsPersonal pageTJ ElmasComputational Social Science, Social Media Manipulation, Misinformation, Polarization, Applied NLPPersonal pageKobi GalArtificial Intelligence, multi-agent systems, human-computer decision-making, educational data mining, AI in education, learning analytics, AI for Social GoodPersonal page Image Sharon GoldwaterProbabilistic (esp. Bayesian) models of language acquisition, unsupervised learning for NLP, phonetics/phonology, morphology.Personal page Image Claire GroverText analytics (information extraction, text mining, bioinformatics), XML tools for text processing, text processing for cultural heritage, semantic web, methods and tools for corpus linguistics, computational linguistics (parsing, grammar engineering).Personal page Image Barry HaddowMachine translation speech translationPersonal page Image Helen HastieHuman-robot interaction, multimodal interaction, trustworthy interaction for autonomous systems, transparency and explanations through natural language, evaluationPersonal page Image Robin Hill Multimodal communication, visual cognition, eye tracking, cognitive science, psycholinguistics, human computer/robot interaction, gerontechnology and neuropolitics.Personal Page Image Uta HinrichsData visualization, Human-Computer Interaction, Interaction Design. Special interest in digital humanities, visualizing cultural collections, visualization for public knowledge institutions, and visualization teaching and learning.Personal page Image Frank KellerNatural language processing, language and vision, computational narrativePersonal pageSimon KingSpeech synthesis; new acoustic models for speech recognition; the use of articulatory information for speech recognition and synthesis; phonological/acoustic/articulatory features for speech processing.Personal pageNadin KökciyanAI for Privacy, Argument Mining, Computational Argumentation, AI Ethics, Multiagent systems, Knowledge Representation and ReasoningPersonal pageCatherine LaiSpeech prosody, discourse structure, affective computing, information extractionPersonal page Image Mirella LapataProbabilistic learning for natural language understanding and generation, language grounding, models of vision and language.Personal page Image Alex LascaridesComputational semantics, discourse and dialogue processing, symbol grounding, communication with non-verbal actions, interactive task learning, human robot interaction.Personal page Image Susan LecheltHuman-computer interaction, interaction design, responsible technology design, in particular around: sustainability and circular economy, data literacy, creativity, tangible and physical computing and children’s educationPersonal page Image John LeeMultimodal dialogue, graphics in reasoning and learning, computing and cognition in design.Personal page Image Wenda LiMachine learning for theorem proving, neuro-symbolic AI, formalising mathematics, formal verificationPersonal page Image Adam LopezNatural language processing, machine learning.Personal page Image Chris LucasInductive learning, causal inference, cognitive development, Bayesian models.Personal pageTiejun MaResearch focuses on risk analysis and decision-making using quantitative modelling and data techniques applied to FinTech, and Cyber-Risk research fields, via state-of-the-art information retrieval, sentiment analysis and computing techniques (e.g. risk quantification using NLP); modelling human's risk taking and decisions are influenced by sentiments, news and online information. Image Walid MagdyInformation retrieval, Social computing, Social media, Data mining, Arabic NLPPersonal page Image Fiona McNeillComputing education and access to computing, especially for under-represented and disadvantaged groups; data matching and integration, especially during crisis management; language-aware matching and linguistic resources for minority languages, particularly Gaelic; Semantic Web, Linked Data and Knowledge GraphsPersonal page Image Pasquale MinerviniNatural language processing and machine learning: relational and graph machine learning, question and query answering, hybrid neuro-symbolic models, compositional generalisation, data-efficient and robust deep learning models.Personal page Brian Mitchell Computer Science education, Human-Computer Interaction, accessibility, Language Engineering generally and Named Entity Classification especially, applying Machine Learning to Natural Language Processing, core corpus linguistics topics especially parsingPersonal page Image Siddharth N.Explainable AI, Interpretable ML, Structure learning, Probabilistic programming, Bayesian program learning, Approximate inference, Human-machine interaction, Neuro-symbolic systemsPersonal pageJeff PanKnowledge representation and artificial intelligence, knowledge based reasoning and learning, knowledge based natural language understanding and generation.Personal page Image Benjamin Peters Biological and artificial visual perception and cognition, robust and efficient vision, real-world dynamic visual cognition, representational geometries, cognitive modelling, brain-computational modelling, biologically inspired AI (NeuroAI)Personal page Image Edoardo PontiMultilingual NLP; ML for language; language grounding; computational typology; few-shot learning; modular NNs.Personal page Image Korin Richmond All aspects of text-to-speech synthesis and speech generation, acquisition and modelling of articulatory data for speech technologies, pronunciation modelling, lexicography, technologies for child speech therapy and pronunciation training.Personal pageJudy Robertson Personal page Image Björn RossComputational social science; social computing; information systems; social media analytics and communication; social network analysis, agent-based modelling and simulation, natural language processing and text classification for social media.Personal page Image Paul SchweizerPhilosophical logic, the computational paradigm and conceptual foundations of cognitive science and AI, philosophy of mind and language. Image Hiroshi ShimodairaTrainable lifelike conversational agents, Acoustic models for automatic speech recognition, Handwriting recognition.Personal page Image Mark SteedmanComputational linguistics, artificial intelligence, formal grammar, spoken intonation, statistical parsing, spoken language processing, animated conversational agents, computational musical analysis.Personal page Image Zee TalatContent moderation; hate speech detection; responsible NLP, machine learning, and AI; politics of machine learning Personal page Image Hao TangSpeech and language processing, machine learning.Personal pageAlex TaylorDesign justice, Human Computer Interaction (HCI), intersectional and feminist theory, multi-species relations, Participatory Design, Responsible AI, Science & Technology Studies (STS), and sociology of technology.Personal page Image Henry ThompsonMarkup languages (XML, SGML) and architectures (Standoff markup, Schema languages, pipelines); Web Architecture; Philosophy of the Web.Personal pageIvan TitovStatistical modeling for natural language understanding, syntactic and semantic parsing of natural language, machine learning for NLP, probabilistic models of graph-structured data, multilingual NLPPersonal page Image John VinesHuman-computer interaction, interaction design, co-creation and participatory design, responsible technology design, digital social innovation, especially around: ageing and the lifecourse, personal and community finance, health and care, and civic and community action. Personal page EMERITUS MEMBERS PhotoMemberPersonal page Image Michael FourmanPersonal page Image Ewan KleinPersonal page Image Johanna Moore Image Helen PainPersonal page Image Steve RenalsSteve Renals Image Bonnie WebberPersonal page This article was published on 2024-11-22
