Andreas Bulling is a Professor at the Institute for Visualisation and Interactive Systems , University of Stuttgart, Germany. His research focuses on Human-Computer Interaction , Eye Tracking , and Computer Vision , with applications in Machine Learning , Virtual Reality , and Information Visualization . 2025 Publications: HOIGaze (Extended Reality), ChartQC (Data Visualization), HAIFAI (Human-AI Interaction), SummAct (Behavioral Summarization), Chartist (Chart Reading). 2024 Contributions: HumanEYEze (Multimodal AI), HOIMotion (3D Object Detection), MultiMediate'24 (Engagement Estimation), Unified Model of Saliency (Scanpath Prediction). His recent work explores gaze estimation , interactive behavior modeling , and privacy-preserving eye-tracking systems . Key subfields include Extended Reality , Neural Networks , and Behavioral Biometrics . While no explicit scientific awards are mentioned, his research has been widely cited (8,003 total citations) and downloaded (132,740 times). Andreas leads projects in Interactive Systems and collaborates with institutions such as Aalto University , KU Leuven , and National University of Singapore . His lab focuses on eye movement analysis , human motion forecasting , and task-driven input modeling .
Zahra Gharineiat is an Associate Professor at the University of Southern Queensland , affiliated with the School of Surveying and Built Environment . She has over 8 years of tertiary teaching experience and 11 years of administrative responsibilities. Bachelor of Surveying (BSurv), University of Tabriz Master of Engineering Management (MEngMgt), University of Melbourne PhD, University of Newcastle Research Interests : Zahra specializes in Geomatic Engineering and Machine Learning , with a focus on applications like Unmanned Aerial Vehicles (UAVs) , LiDAR , Digital Twins , and Remote Sensing . Her work spans Earth Science Observations , Satellite altimetry , and Geodetic data capturing , integrating Computational Modelling and Geoinformatics for innovative solutions. Professional Affiliations : She is a member of the Surveying and Spatial Sciences Institute (SSSI) and the International Union of Geodesy and Geophysics (IUGG) . Her research affiliations include the Centre for Future Materials (CFM) , Institute for Advanced Engineering and Space Sciences (IAESS) , and Centre for Astrophysics (CA) .
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.
Dr Duncan Smith is an Associate Professor in GIS and Visualisation at the Centre for Advanced Spatial Analysis (CASA) at University College London (UCL). He serves as Programme Co-Director for the MSc Urban Spatial Science, focusing on digital visualisation and Geographical Information Systems (GIS) education. His research emphasizes urban sustainability, transport accessibility, and interactive urban visualisation, with a particular interest in global mega-cities like London, Singapore, and São Paulo. Dr Smith holds a PhD from UCL (2011), an MSc from the University of Edinburgh (2005), and a BA (2003). His recent projects include leading the ESRC-funded Driving Urban Transitions project (2024) exploring sustainable travel in small cities and outer metropolitan areas. Previously, he was Co-Investigator on the SIMETRI project (NSFC JPI Urban Europe) analyzing urban sustainability in London, the Randstad, and China's Greater Bay Area. His research interests span urban visualisation techniques, transport equity analysis, and polycentric urban development. Key areas include GIS-driven urban modelling, accessibility metrics, and the intersection of housing policy with sustainable urban form. His interactive visualisations, available on citygeographics.org , showcase innovative approaches to spatial data presentation. Dr Smith's work consistently addresses global sustainability challenges through geospatial methodologies. Recent studies highlight inequalities in transport accessibility and the spatial implications of urban policies. Upcoming projects will further investigate small-city mobility dynamics using multi-national collaborations with Amsterdam and Lisbon researchers.
Rosemary Monahan is a Professor in the Department of Computer Science at Maynooth University and an affiliate of the Hamilton Institute. She holds BSc and MSc degrees from University College Dublin and a PhD from Dublin City University. As Maynooth University's institutional lead for ADAPT (SFI Research Centre for AI-Driven Digital Content Technology), she focuses on advancing software dependability through formal methods and AI integration. Her research interests include safety-critical systems, dependable software, formal verification, and computational thinking education. She co-founded the VerifyThis competition series and leads projects such as MAIVV (Modular AI Verification and Visualisation) funded by SFI, and VALU3S (Verification and Validation of Automated Systems) funded by Horizon 2020. She has secured over €2.5M in EU funding for the Erasmus Mundus programs in dependable software systems. Monahan’s educational contributions include pioneering computational thinking resources (CoCoA and InSPECT projects) and teaching modules on software verification and rigorous software processes. She supervises PhD students in data science and advanced networks and collaborates with institutions like INRIA, Microsoft Research, and Amazon Web Services. Her professional roles include editorships in journals like Science of Computer Programming and leadership in conferences like iFM and FMICS. She actively promotes gender equality in computing through initiatives like INGENIC and TechMate toolkits.
Jon McCormack is a Professor jointly appointed in Monash University's Faculty of Art, Design & Architecture (MADA) and Faculty of Information Technology. He founded and directs SensiLab, a research facility focusing on computational creativity, human-machine interfaces, and generative systems. His work spans electronic media art, evolutionary music, and artificial life. McCormack holds a PhD in Computer Science from Monash University, along with degrees in Computer Science, Applied Mathematics, and Film/Television. Research interests include computational creativity, tangible interfaces, and cybernetic systems. Notable projects include 'Explainable Artificial Creativity' (ARC-funded) and 'Building 4.0 CRC,' addressing architectural innovation through AI. He has been recognized with awards for collaborative projects like the Blundstone Intelligent Footwear for Healthcare. McCormack's recent articles explore AI-driven art, generative systems, and interdisciplinary design. His work bridges artistic practice with technical innovation, emphasizing ethical and creative dimensions of human-AI collaboration. SensiLab serves as a hub for practice-based research in digital media and interactive systems. Education: PhD in Computer Science, Monash University (2004) Bachelor of Science (Honours), Computer Science/Applied Mathematics, Monash University (1987) Graduate Diploma in Film/TV, Swinburne University (1986) Bachelor of Science, Computer Science/Applied Mathematics, Monash University (1985) Key Projects: Lead investigator on 'Explainable Artificial Creativity' (2022–2026) Co-investigator in 'Building 4.0 CRC' (2020–2027), exploring AI-driven architectural design Awards: 2022 Designers Australia Award for Blundstone Footwear 2020 'On the Machine Condition' Prize McCormack's lab, SensiLab, fosters collaborations across disciplines, producing exhibitions, software, and theoretical frameworks for computational creativity. He actively supervises PhD students in practice-based research, emphasizing the intersection of art and technology.
Philipp Otto is a Professor of Statistics and Data Science at the University of Glasgow. Previously, he was a Reader in Statistics and Data Analytics (2023–2024) and held a Junior Professorship in Big Geospatial Data at Leibniz University Hannover (2018–2023). He earned his PhD in Statistics (summa cum laude) from European University Viadrina in 2016 and a B.Sc. in International Economics, with study visits to Saint Petersburg State University. His research focuses on spatial and spatiotemporal statistics, environmetrics, network modeling, and machine learning applications. Education: PhD in Statistics (2016), European University Viadrina, Frankfurt (Oder) B.Sc. in International Economics (with study visits to Saint Petersburg) Research Interests: Philipp’s work centers on spatial statistics, spatiotemporal volatility modeling, environmental data analysis, and network processes. He develops statistical methods for geo-referenced and network data, with applications in climatology, finance, and environmental risk assessment. His contributions include advancements in GARCH models, spatiotemporal clustering detection, and statistical process monitoring for AI systems. Grants & Projects: He has secured €1,038,847 in research grants, leading projects on historical map time series analysis, agricultural air quality impacts, and high-dimensional spatial dependence structures. Industry collaborations include survival analysis for building information models. Awards: 2017 Fellowship to attend the Lindau Nobel Laureate Meeting (Economic Sciences) 2017 Best Presentation Award (Data Science, Statistics, and Visualisation) Teaching: He teaches statistics and data science across disciplines, including economics, engineering, and mathematics, at both undergraduate and postgraduate levels. Professional Activities: Editorial Boards: Environmetrics (2021), AStA Advances in Statistical Analysis (2020) Member of German Statistical Society (Treasurer, 2013)
Dr. Maxime Cordeil is a Senior Lecturer in Human Centred Computing at the School of Electrical Engineering and Computer Science, The University of Queensland. His research focuses on Virtual and Augmented Reality technologies for data interaction, interactive visualization systems, and AR interfaces for industry applications. He has authored over 60 publications in top-tier venues such as ACM CHI and IEEE VR, and was nominated as Australia's Field Leader in Computer Graphics in 2021 and 2022. Research Interests: Data visualization, immersive analytics, medical imaging, collaborative systems, and human-computer interaction. Current Projects: Includes embedded visualizations for sports performance, interactive machine learning in 3D environments, and mixed-reality applications in forensic science. PhD Supervision: Actively guiding students in topics like immersive gesture exploration, AR for digital health, and collaborative VR systems. His work bridges theory and practice, with tools like IATK (Immersive Analytics Toolkit) and the MADE-Axes hardware system. He collaborates with industry partners like Raytracer and CSIRO, focusing on applications in space exploration, underwater training, and remote operations. Awards: Multiple best paper recognitions at ISS and CHI, plus industry-driven research grants. Labs: Leads the Immersive Analytics research group at UQ, specializing in embodied interaction and spatial computing.
Dr. Radu Jianu is a Lecturer in the Department of Computer Science at City, University of London , where he has been a faculty member since 2016. He is affiliated with the giCentre , a leading research group in information visualization. He earned his PhD and MSc in Computer Science from Brown University, USA, and a Diploma in Engineering from the Polytechnic University of Timisoara, Romania. His academic career includes a previous role as Assistant Professor at Florida International University (2012–2016). His research focuses on Data Visualisation, Visual Analytics, and Human-Computer Interaction . He conducts interdisciplinary collaborations with domains such as biology, food policy, and energy decarbonisation, aiming to develop interactive visual tools that enhance data understanding and decision-making. His methodological approach includes user studies, eye-tracking, and the design of novel visualization techniques. Dr. Jianu teaches Programming in Java and Cognition and Technologies , and he coordinates the Programming Bootcamp. He also holds administrative responsibilities as the Progression and Support Director in the Computer Science Department and is a member of its Executive Committee (ExCo). His recent publications reflect a growing interest in LLM-assisted visual analytics, gaze-aware systems, and collaborative human-AI analytical frameworks . He has published in top venues such as IEEE TVCG, CHI, EuroVis, and Nature Immunology, with several best paper awards. His work on the RAMPVIS project highlights his contributions to visualization in public health emergencies. Scientific Awards: Best Paper Award, Symposium on Graph Drawing (2018) Best Short Paper Award, EuroVis (2020) Advising and Grants: Dr. Jianu supervises multiple PhD and MSc students, including Dany Laksono (Energy Decarbonisation) and Maeve Hutchinson (NLP-mediated Visualization). His students have co-authored high-impact, award-winning papers. He has been involved in funded research initiatives such as RAMPVIS, which received support from UKRI/EPSRC for developing visual analytics infrastructure during the COVID-19 pandemic. Labs and Teams: He is an active member of the giCentre at City, University of London, a hub for visualization research. He also collaborates with interdisciplinary teams in epidemiology, immunology, and computer science, contributing to large-scale projects like the Immunological Genome Project and RAMPVIS.
Jonathan Roberts is a researcher at Bangor University, UK, with a focus on data visualization, visual analytics, and educational technology. His work bridges computer science and creative design, particularly in data art exhibitions and authentic learning. Key research areas: Data Visualization, Visual Analytics, Educational Technology, Digital Art Recent publications explore generative AI in visualization design, multiple-view patterns for time series data, and frameworks for creative learning. His collaborations span institutions like QUT, University of Manchester, and University of Cambridge. Notable awards include VAST 2012 Honorable Mention and VAST 2010 Analytic Process Recognition. He contributes to visualization pedagogy and has co-authored works on haptic interfaces, immersive analytics, and coastal data modeling.
Daria Tsoupikova is a Professor of Digital Media Design at the University of Illinois Chicago's School of Design. She serves as Co-Founder and Design Chair of the bachelor's in computer science and design program and is affiliate faculty in the UIC Electronic Visualization Laboratory (EVL). Her work bridges artistic expression and technological innovation, focusing on virtual reality and interactive media applications across multiple domains. Her educational background includes: MFA in Computer Art from Syracuse University BFA in Graphic Design from Moscow State Academy Positioned at the crossroads of artistic and technological innovation, Tsoupikova's research explores the potential of new media and interactivity in relation to traditional arts. Through development of virtual reality art projects and networked multiuser exhibitions for VR projection systems like the CAVE and CAVE2, her work applies computer graphics to diverse research domains including educational multimedia, cultural heritage, and virtual rehabilitation for stroke survivors. Her approach integrates theater methodologies, design principles, and coding to create immersive experiences that address global challenges while preserving cultural heritage. Analysis of her publication history reveals an evolving trajectory from foundational VR art installations toward increasingly sophisticated therapeutic applications. Her recent work demonstrates a strong focus on the intersection of art, healthcare, and virtual reality, with particular emphasis on collaborative multiuser environments that transform traditional storytelling and therapeutic practices. The progression shows movement from artistic exploration to clinically validated therapeutic interventions with measurable patient outcomes. Her notable awards include: Session's Best Paper at IMCIC 2019 and QRMS/IMCIC 2016 Fulbright Scholar Award (2011) and Intercountry Lecturing Award Communication Arts Award of Excellence and Creative Quarterly Excellence Award National Endowment for the Arts grant and Presidential Award from University of Illinois Tsoupikova has secured significant research funding from the National Science Foundation, National Institute on Disability and Rehabilitation Research (NIDILRR), and the Department of Education for projects including MARS2 (2007-2012) and MARS3 (2012-2018). She has developed innovative courses including Mobile App Design where students collaborate with professional partners such as Caterpillar, UIC medical departments, and clinics. Her work with stroke survivors at the Shirley Ryan AbilityLab has demonstrated improvements in patients' daily lives, regained trust in their hands, and increased therapy motivation. She is deeply involved with the UIC Electronic Visualization Laboratory, collaborating on advanced visualization projects including IBM partnerships exploring sustainable development goals through VR. Her leadership in establishing the computer science + design undergraduate program positions UIC as the only public university in the United States offering such a specialized degree, reflecting her commitment to interdisciplinary education at the technology-art intersection.
Gordon Fletcher serves as Associate Dean: Research and Innovation at Salford Business School, University of Salford, where he leads the development of the School's research presence and profile while guiding bidding activities, staff development, and impact initiatives. With extensive experience since 2002 teaching programming, digital transformation, and information systems, Fletcher employs a hands-on, interactive pedagogical approach. University: University of Salford School: Salford Business School Academic Rank: Professor Research Focus: Digital business, culture, and practice Fletcher's research explores digital transformation through multiple lenses including conflict within online finance communities, virtual game economies, and digital grieving practices. His scholarly work connects theoretical frameworks with practical applications in business environments, particularly examining how organizations navigate digital change while maintaining strategic coherence. His recent publications (2022-2025) demonstrate a consistent focus on practical frameworks for digital transformation, with particular attention to organizational readiness, leadership approaches, and strategic implementation. The recurring themes across his work include visualization techniques for strategic planning, responsive business model design, and the cultural dimensions of digital adoption. Awards and Professional Recognition: Emerald Literati Award (2017) for Outstanding Paper Claudio Ciborra Award for most provocative paper (2011) Vice-Chancellor's Distinguished Teaching Award (2014) Fellow of the Higher Education Academy (2012) Fellow of the Royal Society for the Arts (2011) Chartered Manager designation (2015) Fletcher actively supervises doctoral research in digital transformation topics and has contributed to multiple Knowledge Transfer Partnerships with organizations including the Greater Manchester Chamber of Commerce. His professional service includes committee roles with the International Federation of Information Processing and editorial responsibilities for major information systems conferences.
Dr Nour Ali is a Reader in the Department of Computer Science at Brunel University London , where she co-heads the Brunel Software Engineering Lab and serves as Vice-Dean of Education for the College of Engineering, Design and Physical Sciences. She holds a PhD in Software Engineering from Universidad Politecnica de Valencia, Spain, and a Major in Computer Science from Bir-Zeit University, Palestine. Research Interests: Software architecture for distributed and adaptive systems, integrating techniques like Model-Driven Engineering, Reverse Engineering, and Machine Learning. Teaching: Module leader for Software Project Management and supervisor of undergraduate group projects and final-year projects. Scientific Contributions: Over 70 publications in journals, conferences, and books. Key research areas include microservice architecture recovery, autonomic healthcare systems, and mobile self-adaptive architecture. Scientific Awards: Fellow of the Higher Education Academy (HEA). Membership: Deputy Editor-in-Chief for IET Software, member of multiple conference program committees, and reviewer for EPSRC, NWO, and other funding bodies.
Professor Jinman Kim is a Professor in the School of Computer Science at the University of Sydney and Director of the Biomedical Data Analysis and Visualisation (BDAV) Lab. He also serves as Research Director of the Telehealth and Technology Centre at Nepean Hospital. His research focuses on machine learning applications in biomedical image analysis, visualization, and multi-modal data processing. Kim holds a PhD in Computer Science from the University of Sydney (2006) and has held roles including Senior Lecturer (2013), Associate Professor (2016), and Professor (2022). He is an Area Editor for Computer Methods and Programs in Biomedicine and actively contributes to AI-driven healthcare initiatives. His academic journey includes a Marie Curie Fellowship at the University of Geneva (2010) and leadership roles in projects like the ARC Training Centre in Innovative Biomedical Engineering. He co-leads the Digital Health Imaging initiative under the Faculty of Engineering’s Digital Science Initiative. Kim has developed teaching programs such as the Master of Digital Health and Data Science, co-taught with the Faculty of Medicine and Health. Research interests span AI in medical imaging, telehealth systems, and interdisciplinary biomedical engineering. His work includes advancements in PET/CT fusion, tumor segmentation, and medical visual analytics. Kim’s lab explores applications like AI in dental education, cutaneous lymphoma detection, and fair AI models for healthcare. Notable collaborations include the Telehealth Remote Monitoring System for chronic patients and contributions to datasets like the HRDC Challenge for hypertension classification. His labs prioritize translating AI innovations into clinical tools for improved healthcare accessibility and precision.
Professor Massimiliano Tani Bertuol is a distinguished academic specializing in economics at UNSW Canberra's School of Business, where he has served as Professor since 2015. His professional affiliations extend beyond UNSW as he is an Associate Investigator/Member at CEPAR; Ageing Futures; uDASH; AI Institute; and Cyber security (IFCYBER). Additionally, he maintains international connections as a Research Fellow at the Institute for the Future of Labor (IZA) in Germany since 2005, an Associate Member at Macquarie University's Centre for Workforce Futures since 2018, and a Research Fellow at the Global Labor Organization (GLO) in Maastricht since 2016. His educational background reflects a strong foundation in economics and business, having earned a PhD in Economics from the Australian National University (2003), a Master of Science in Economics from the London School of Economics (1992), and a Bachelor's degree in Business/Economics from Bocconi University in Milan, Italy (1989). His academic journey has positioned him as a leading researcher in human capital economics with international recognition. Professor Tani Bertuol's research centers on human capital development and its economic implications. His work examines how human capital can be fostered, efficiently transferred internationally through migration, and how it affects productivity, innovation, and economic growth at both firm and national levels. His research spans multiple regions including Australia, Europe, the US, Africa, and China, with particular focus on migration economics, labor market outcomes, and the economic impacts of education and skills. His current research agenda includes non-pecuniary incentives, behavioral/financial decisions in China, occupational licensing, language skills and economic assimilation, AI-human interactions in health contexts, and labor mobility and productivity. Analysis of his recent publications reveals significant interdisciplinary trends bridging economics with public health, environmental science, and technology. His work connects migration dynamics with economic outcomes, examines household financial behaviors through gender lenses, and investigates the complex relationships between environmental factors like air pollution and economic activities including education investment and entrepreneurship. More recent work explores AI applications in health and the economic implications of pandemic responses, demonstrating his ability to address contemporary challenges through rigorous economic analysis. 2023: UNSW ARC Postgraduate Council (Arc PGC) award for excellence in research supervision 2011: Vice-Chancellor Award for Teaching Excellence 2011: Faculty Award for Teaching Excellence for teaching economics Professor Tani Bertuol has successfully supervised 4 PhD students to completion, with 1 submitted dissertation and 5 currently under supervision. His active research program is supported by significant grant funding including an ARC Linkage Project (2023-27) on regional Australia's skills shortages and high-skill refugees' employment ($354,811), an ARC Discovery Project (2019-23) on migrant aging and wellbeing ($478,000), and a NUW Alliance grant (2021-23) on hearing screening and academic outcomes ($73,367). He serves as Associate Editor for Social Indicators Research and Higher Education Research & Development, contributing to scholarly discourse in his fields of expertise. His teaching portfolio includes courses in data analytics, finance, and professional executive education focused on cost-benefit analysis and data communication. He teaches ZBUS2333 Data Analytics and Visualisation, ZBUS8105 Finance and Investment Appraisal, and ZBUS8149 Introduction to Finance, demonstrating his commitment to developing the next generation of economics professionals with both theoretical knowledge and practical skills.
