Professor Gareth Jones leads research in information retrieval at DCU's School of Computing. His work develops novel methods for accessing multimedia, multilingual and personal content through search technologies. Key innovations include spoken document retrieval, cross-language search, and context-aware mobile systems. Research areas: Multilingual and multimedia information access Affective computing in search interfaces Personalized retrieval systems Evaluation methodologies Recipient of 2021 President's Research Award. Co-founded MediaEval multimedia benchmarking initiative and chaired ACM SIGIR 2013. Publications demonstrate consistent focus on improving search effectiveness across diverse content types and languages.
Kyle Diederich is an Assistant Professor of Computer Science at St. Norbert College (SNC), where he also earned his B.A. in Mathematics. His research focuses on interactive technologies that support social and physical play for young children, emphasizing the '3Cs' framework: Create, Connect, and Communicate to Learn. He designs and evaluates systems that enhance collaborative, face-to-face activities while minimizing distractions to child development. Education: B.A. in Mathematics, St. Norbert College M.S. in Mathematics Education, University of Wisconsin-Oshkosh M.S. and Ph.D. in Computer Science, University of Iowa His work bridges human-computer interaction (HCI) and education, with a focus on technologies for children under five. Key themes include sociodramatic play, voice-based interfaces, and participatory design processes that involve children in shaping their own tools. Recent projects explore how voice agents and collaborative storytelling systems can foster social skills and creativity. Publications: Over 15 articles in venues like ACM Interaction Design and Children (IDC) and CHI, focusing on play-based design, voice interfaces for preschoolers, and technology’s role in early childhood socialization. Teaching: Courses include Software Engineering, Data Structures, Algorithms, and Computer Organization.
Nam Wook Kim is an Assistant Professor of Computer Science at Boston College, specializing in Data Visualization and Human-Computer Interaction. His research focuses on making data accessible to broader audiences through innovative tools and accessibility-focused design. He holds a Ph.D. from Harvard University and has conducted research at Microsoft, Disney, and Adobe. His work bridges academic research with practical applications, emphasizing accessibility, AI-driven interfaces, and creative computing. Education: B.S. in Mathematics & Computer Science (Stony Brook University), M.S. (Stanford University), and Ph.D. (Harvard University). Research Interests: Data Visualization Accessibility, Human-Computer Interaction (HCI), Creative Computing, AI Integration in Visualization, and Design Methodologies. Awards: Recognized by ACM CHI, ACM UIST, Kantar Information is Beautiful Awards, and NSF grants. His research addresses gaps between visualization research and practice, advocating for inclusive design principles. Teaching: Courses include Human AI Interaction, Data Visualization, and Web Application Development. He actively collaborates with institutions like Washington University and Northeastern University. Lab & Teams: Leads the Data Within Reach research group, focusing on accessibility and user-centric visualization tools. His work has generated over 100 publications, emphasizing empirical studies and practical tool development.
Dr. Loutfouz Zaman is an Associate Professor in the Game Development and Interactive Media department at Ontario Tech University , part of the Faculty of Business and Information Technology . He holds a PhD in Computer Science with a focus on Human-Computer Interaction from York University. His research explores visual programming interfaces, game analytics, and extended reality technologies, with a focus on practical applications such as automated bug detection and user experience optimization. Dr. Zaman has collaborated on projects funded by MITACS, NSERC, and industry partners, addressing challenges in healthcare incident management, language learning gamification, and air traffic control simulation training. He teaches courses ranging from introductory game math to graduate-level topics in human-computer interaction and machine learning for game analytics. Education: Bachelor of Science in Computer Science (Software Systems) – Concordia University Master of Science in Computer Science (Human-Computer Interaction) – York University PhD in Computer Science (Human-Computer Interaction) – York University Research Interests: Dr. Zaman’s work spans user research in gaming, game evaluation methodologies, and emerging technologies like AR/VR. His team focuses on developing tools for visual game analytics and automated testing, with recent projects including mixed reality fitness gaming interfaces and deep learning-based bug detection systems. Grants & Collaborations: His industry partnerships include projects on healthcare incident management during pandemics, CRM gamification, and pet identification systems using computer vision. He actively seeks doctoral candidates to expand research in visual analytics, XR technologies, and automated bug detection. Labs & Affiliations: Dr. Zaman is affiliated with the Software and Informatics Research Centre (SIRC) and contributes to the university’s efforts in bridging academic research with real-world applications.
Martin Corley is a Professor of Speech, Language, and Cognition and Head of Psychology at the University of Edinburgh's School of Philosophy, Psychology and Language Sciences. He holds a full-time academic position and has been affiliated with the University of Edinburgh since 1995, after completing his PhD at the University of Exeter. His research focuses on speech production and comprehension, particularly the role of disfluencies (e.g., 'um,' 'er,' silent pauses) in communication, employing methods like eye-tracking, EEG, and ultrasound imaging. Corley teaches courses such as the MSc in Univariate Statistics and Methodology using R. He currently supervises PhD students Wei Li (Lead), Esperanza Badaya (Lead), and Nora Wolf (Secondary). His work has led to over 50 publications, including studies on scalar quantifier interpretation, deception detection, and the cognitive processing of non-literal language. He is actively involved in academic recruitment, recently advertising a teaching-focused Lecturer position in Psychology. Corley’s research interests span psycholinguistics, cognitive science, and neurolinguistics, with a focus on real-time language processing and social reasoning. He collaborates internationally and maintains a Google Scholar profile and personal website (martincorley.org). His Erdős number is 4, indicating academic collaboration proximity to Paul Erdős.
Tim French is an Associate Professor in the Department of Computer Science and Software Engineering at the University of Western Australia's School of Physics, Maths and Computing. He is affiliated with the UWA Oceans Institute and serves as Regional Contest Director for the South Pacific Programming Contest and Programme Chair for the Australasian Conference on Artificial Intelligence 2022. His research focuses on logic, artificial intelligence, knowledge representation, and reasoning about uncertainty in multi-agent systems, probabilistic reasoning in games, and industrial applications like automated planning and machine learning for complex processes. French holds a PhD in Computer Science (2007) and BSc in Computer and Mathematical Sciences (1999), both from UWA. His expertise spans algorithms, automated reasoning, formal methods in software, and temporal logic verification systems. He has led or contributed to 6 major research projects including the ARC Research Hub for Transforming Energy Infrastructure and the ARC Training Centre for Transforming Maintenance through Data Science. His research outputs include 118 publications covering topics like aleatoric logic for probabilistic reasoning, semantic knowledge extraction from industrial maintenance systems, and deep learning applications in wastewater treatment. He has developed novel methods for knowledge graph construction, state estimation in complex systems, and user interface design informed by work characteristics models. Key grants: 6 active/finished projects totaling $M+ funding Leadership roles: Programming contest director, conference chair Interdisciplinary focus: Combines formal logic with industrial automation challenges French's work contributes to UN Sustainable Development Goals through education and innovation in sustainable industrial processes and environmental systems modeling. His team has developed practical solutions for maintenance procedure digitization, wastewater plant optimization, and robust agent-based systems for uncertain environments.
Jay Chen is Research Assistant Professor at NYU Tandon School of Engineering and Co-Director of the Design Technology Lab. His research develops information and communication technologies for underserved populations, focusing on voice-based systems, privacy in shared device contexts, and pluralistic network architectures. Key contributions include: Karamad voice-based crowdsourcing platform for low-literacy users Studies of mobile privacy in Bangladesh and India Stencil pluralistic cloud architecture Publications demonstrate 50% focus on Global South technologies, 30% on network architectures, and 20% on sustainable computing. Recent work examines financial networks, game theory representations, and resilient connectivity solutions.
Dr. Abdessalam Elhabbash is a Lecturer in Distributed Systems at the Department of Computing and Communications, Lancaster University. His research focuses on IoT service composition, cloud computing, and self-adaptive systems. He is affiliated with the Lancaster Intelligent, Robotic and Autonomous Systems (LIRA) Centre and leads research groups such as LIRA - Environmental Modelling and LIRA - Extreme Environments. His work emphasizes ontological architectures for system composition, cloud migration optimization, and AI-driven IoT frameworks like the IoT Whisperer and TRANSITIVE. Elhabbash advises PhD student Qianhui Lin. He is contactable at a.elhabbash@lancaster.ac.uk. Research interests include: IoT service composition using large language models (LLMs) Multi-cloud performance optimization and pricing strategies Autonomous system design through ontological frameworks Predictive maintenance in Industry 4.0 environments Recent publications highlight advancements in cloud migration tools (PricingTheCloud), edge computing architectures (HolonCraft), and self-aware system development. His work bridges theoretical foundations with practical applications in smart home automation and industrial IoT. Labs/Teams: Active member of LIRA's environmental and extreme environment groups, focusing on resilient distributed systems in challenging conditions.
Jamie Yates Findlay Associate Professor of Linguistics at the University of Oslo, affiliated with the Faculty of Humanities and the Department of Linguistics and Scandinavian Studies. His work focuses on computational and mathematical approaches to syntax and semantics, particularly exploring mismatches between syntactic structures and semantic interpretations. Current research includes multiword expressions, lexical representation in formal grammars (e.g., Lexical Functional Grammar and Glue Semantics), and sociolinguistic dimensions of language use related to gender and sexuality. Education: PhD from University of Oxford, followed by lectureships at Oxford before joining UiO. Research Interests Formal syntax and semantics, computational linguistics Multiword expressions, lexicon design Sociolinguistics and discourse analysis Interaction of language with gender/sexuality Formal grammatical frameworks (LFG, Dependency Grammar) Recent Work Recent projects include contributions to the Universal Natural Language Understanding initiative, developing semantic interpretation frameworks connecting Universal Dependencies with Discourse Representation Theory. His 2023 publications focus on formal semantics integration with dependency grammars and rule-based semantic parsing systems. Awards No explicit awards listed in provided materials. Grants & Collaborations Involved in collaborative projects like DRASTIC dataset development (semantically annotated corpus) and cross-linguistic honorific studies (e.g., Korean -si-). Labs/Teams Active contributor to the Universal Natural Language Understanding research group at UiO.
Jyh-Charn 'Steve' Liu is a Professor in the Department of Computer Science & Engineering at Texas A&M University, affiliated with the College of Engineering. His research focuses on real-time distributed systems, cyber-physical security, and interdisciplinary applications such as mathematical expression analysis and GNSS spoofing mitigation. Education: Ph.D., Electrical & Computer Engineering, University of Michigan (1989) M.S., Electrical Engineering, National Cheng Kung University (1981) B.S., Electrical Engineering, National Cheng Kung University (1979) Research Interests: Real-time distributed computing systems Cyber-physical systems security Behavior modeling and simulation Mathematical expression analysis and tools for STEM education GNSS spoofing detection and mitigation Blockchain-based supply chain management Key Publications Trends: Recent work emphasizes AI-driven solutions for mathematical document processing (e.g., LaTeX conversion from images), cybersecurity in navigation systems, and interdisciplinary applications like STEM education tools. Early-career contributions include real-time scheduling algorithms and embedded systems design. Awards: Senior Member, IEEE Computer Society (2014) Nominated for ACM Eugene L. Lawler Award (2013) Conference leadership roles (RTAS 2006/2007) Lab & Collaborations: Leads the Real Time Distributed Systems Lab, exploring areas such as verifiable credentials, urban navigation systems, and medical image analysis. Collaborates on projects like DIME (mathematical expression tool) and MOP (mathematical PDF labeling).
Dr Jasmin Kirkbride is a Lecturer in Publishing at City St George's, University of London, where she teaches across the BA in English and MA programs in Publishing, International Publishing, and Creative Writing and Publishing. She is also a Humanities Visiting Research Fellow at the University of East Anglia (UEA), reflecting her active engagement in interdisciplinary research. Her educational background includes a PhD in Creative and Critical Writing (UEA, 2023), an MA in Creative Writing: Prose (UEA, 2019), an MA in Ancient History (King's College London, 2013), and a BA in Classical Studies (King's College London, 2012). Jasmin’s research lies at the intersection of literature and environmental crisis, with a focus on ecocriticism, climate fiction, and radical hope . She explores how narrative forms—particularly dystopian fiction and haiku—can express emotional resilience and cultural responses to the climate emergency. Her work bridges creative practice and critical theory, often manifesting in hybrid scholarly-creative outputs. The analysis of her recent publications reveals a consistent trajectory in environmental humanities , with strong emphasis on climate narratives, literary form evolution, and interdisciplinary ecocritical methods . Her work appears in journals such as The Cormac McCarthy Journal and LOGOS , and she is co-editing a special issue of Green Letters . She frequently presents at major conferences including ASLE-UKI and UEA’s Creative Writing futures events. Shortlisted for the 2019 Museum of Haiku Literature Award Jasmin supervises and mentors students in creative writing and publishing, though no formal PhD or Master’s advisees are listed. Her extensive professional experience in trade publishing—including roles as Publishing Director and book trade journalist—enriches her pedagogy and research. She has worked on award-winning titles and bestsellers, bringing industry insight into academia. She is currently co-editing a special journal issue and developing creative-archival projects on haiku and climate change. She is actively involved with the Association for the Study of Literature and Environment, UK and Ireland (ASLE-UKI), serving as Secretary and Podcast Co-Host. Her 2022 Research-in-Residence with the British Haiku Society culminated in a keynote presentation, highlighting her leadership in creative environmental scholarship.
Paul H. Portner is a Professor in the Department of Linguistics at Georgetown University, within the College of Arts and Sciences. His primary research lies at the intersection of semantics, pragmatics, and syntax, with a particular focus on verbal mood, modality, imperatives, and discourse structure. He is actively engaged in both teaching and research, offering courses ranging from introductory linguistics to advanced seminars in semantics and pragmatics. His educational background includes an A.B. in Philosophy from Princeton University and a Ph.D. in Linguistics from the University of Massachusetts at Amherst, where his dissertation was supervised by Barbara Hall Partee. His work has been supported by multiple NSF grants, including projects on clause types and gradable modal expressions. Portner’s research interests center on how grammatical structures encode speaker-addressee relations, politeness, and mood. He explores how meaning is constructed at the syntax-semantics-pragmatics interface, particularly in imperatives, exclamatives, and modal constructions. His theoretical work is deeply formal, drawing on tools from logic and philosophy of language. His recent publications (2020–2024) show a continued focus on modality, mood selection, and discourse meaning, with applications to cross-linguistic data (e.g., Korean) and computational modeling. Key themes include modal adjectives in media discourse, honorifics, indexical restrictions, and the semantics of belief and desire predicates. Notable scientific contributions include his monographs Modality (2009) and Mood (2018), both published by Oxford University Press, and his co-editorship of major reference works such as the Semantics: An International Handbook of Natural Language Meaning . He has been a frequent lecturer at summer schools, including the LSA Institute and CreteLing, helping to train the next generation of semanticists. He advises and collaborates with researchers such as Miok Pak, Raffaella Zanuttini, and Aynat Rubinstein. He has received research funding from the NSF for projects on clause types and gradable modals, and he continues to lead theoretical and empirical investigations into the structure of meaning in natural language. Portner is affiliated with the Georgetown Linguistics Department and maintains an active research profile, with ongoing work on his book Social Relations in Semantics and Pragmatics , under contract with Oxford University Press.
Alessandro Di Nuovo is a Professor in the Department of Computing and Mathematics at Sheffield Hallam University, within the College of Business, Technology and Engineering. He is a leading researcher in cognitive and developmental robotics, with a focus on human-robot interaction, assistive technologies, and neuromorphic computing. His work bridges AI, robotics, and healthcare, particularly in applications for autism therapy and active ageing. His research spans cognitive robotics , neuromorphic computing , assistive robotics , and human-robot interaction , with a strong emphasis on embodied cognition, numerical cognition in robots, and privacy-aware systems. He has pioneered the use of spiking neural networks and event-based vision for real-time robotic perception and learning. His work often integrates cloud computing and multimodal interfaces to enhance robotic services for elderly care and children with developmental disorders. The recent publications highlight a consistent trend in personalized, interactive learning systems , where robots learn from human feedback using reinforcement learning, natural language, and sleep-inspired consolidation. There is also a growing focus on privacy and cybersecurity in social robotics, reflecting ethical considerations in assistive technologies. Applications are strongly oriented toward healthcare , including stroke rehabilitation, ASD screening, and in-home monitoring for older adults. He has been involved in numerous collaborative projects, often as a principal investigator or senior researcher, working with institutions across Europe. His contributions to major conferences and journals underscore his leadership in the field of cognitive and developmental systems. Di Nuovo has supervised and collaborated with a wide range of students and researchers, including Simone Varrasi, Roberto Vagnetti, Muhammad Aitsam, and Daniela Conti. His work has been supported by grants from EPSRC and other UK research councils, particularly in the domain of robotics for healthcare and social good. He is actively involved in research groups focusing on assistive robotics , cognitive systems , and cybersecurity in healthcare robotics , contributing to both theoretical models and real-world implementations of socially intelligent robots.
Antonio García Cabot is an Associate Professor in the Department of Computer Science at the University of Alcalá. His research focuses on artificial intelligence, educational technology, natural language processing, and mobile computing. He leads the INTELIA research group (Interaction Technologies and Artificial Intelligence Lab) and previously contributed to the PMI group (Intelligent Mobile Platforms). He earned his Doctorate in Computer Science from the University of Alcalá in 2013 with a thesis titled *Propuesta de un sistema multi-agente para la adaptación de contenidos docentes a las competencias, contexto y dispositivo del usuario*. His work emphasizes accessibility in digital education, gamification in MOOCs, and software engineering innovations like automated code repair using LLMs. Research trends in his 2024-2025 publications include: Advancing AI applications in educational assessment (e.g., automated question generation, distractor design) Improving mobile app usability through gesture-based interfaces and sensor integration Developing large language model-based tools for vulnerability repair and teacher simulation analysis Systematic reviews on digital competence ecosystems and multilingual AI systems His contributions to open educational resources (OER) and accessible virtual campuses have been widely adopted in Latin America. Current research extends into embedded systems education and olfactory stimuli impacts on mobile app performance.
Eva García López is a Professor in the Department of Computer Science at the University of Alcalá. She holds a PhD from the same institution, completing her thesis on improving the usability of interfaces for teaching objects in m-learning in 2013. Her research focuses on usability engineering, artificial intelligence, and educational technology, with emphases on mobile applications, accessibility, and gamification. She is affiliated with the INTELIA research group (Interaction Technologies and Artificial Intelligence Lab) and previously contributed to TIFyC (Information Technologies for Training and Knowledge) and PMI (Intelligent Mobile Platforms). Eva’s work spans developing adaptive learning systems, enhancing digital content accessibility, and leveraging large language models for educational tools. Her projects include MOOC development, social gamification experiments, and usability evaluations of mobile instant messaging apps. She has also explored the impact of olfactory stimuli on user performance and the application of NLP in automated question generation. Her contributions include guidelines for accessible digital content creation and frameworks for personalized learning paths in web engineering curricula. Her research integrates interdisciplinary approaches, combining machine learning, human-computer interaction, and educational theory to address challenges in digital learning ecosystems. Notable contributions include frameworks for curriculum development, methodologies for usability evaluation, and tools for automated code vulnerability repair.
