جست‌وجوی استاد و پژوهشگر

• Acoustics
• Sound-Based Interactions
• Human-Computer Interaction
• +۵ مورد دیگر

Professor Gianluca Memoli is an Associate Professor in Sound-Based Interactions within the Department of Informatics at the University of Sussex's School of Engineering and Informatics. He also serves as Impact Leader for Informatics since June 2023. His academic profile bridges fundamental acoustics research with practical applications and commercialization. Memoli's research focuses on acoustic metamaterials and sound-based interactions, exploring how techniques previously used only for light can be applied to sound. His work spans from fundamental physics of bubbles and cavitation to advanced applications in healthcare, environmental monitoring, and human-computer interaction. He approaches acoustics through an interdisciplinary lens, connecting physics, engineering, materials science, and perception studies. His recent publications (2022-2025) demonstrate consistent output in high-impact acoustics journals, with a clear trajectory toward practical applications of acoustic metamaterials. Key themes include acoustic lens design, sound field manipulation, and the development of tools for virtual acoustic assessment. His work shows increasing emphasis on addressing real-world challenges in environmental noise and healthcare applications. Memoli has secured significant research funding from diverse sources including EPSRC, NERC, Royal Society, and European Union programs. His current major project 'Visualising the Perception of Aircraft Noise for Communities Surrounding Airports' (2023-2027) exemplifies his focus on applying advanced acoustic research to societal challenges. As an educator, Memoli teaches 'Professional Skills' and 'Entrepreneurship' courses, reflecting his dual expertise in technical acoustics and commercialization. His role as CEO of Metasonixx since 2019 demonstrates his commitment to translating academic research into real-world applications, creating a unique bridge between his academic and entrepreneurial pursuits.

Sarah Dargieمشاهده پروفایل

مدرس

• Animation
• Data Visualization
• Writing Process
• +۳ مورد دیگر

Sarah Dargie serves as Lecturer in 2D Animation and MA Animation course director at Ulster University's Belfast School of Art, Faculty of Arts, Humanities & Social Sciences. With a professional background spanning architecture studios, animation production, and educational game development for clients including BBC and Historic Scotland, she bridges industry practice with academic leadership. Her educational qualifications include a B.Arch. from Glasgow School of Art (2016), B.A and MSc in Animation and Visualisation from DJCAD, Dundee University (2011-2012), and a PGCert in Higher Education. She is currently finalising her MEd while maintaining HEA fellowship status. Research interests converge at the intersection of creative practice and societal challenges , with emphasis on data visualization for health/engineering contexts, writing process pedagogy, virtual production for theatre, and sustainable development through ecological design. Recent work demonstrates a strategic pivot toward community-engaged sustainability projects while maintaining core expertise in animation pedagogy. Publication trends reveal evolving focus from foundational educational technology research (2016-2018) toward urgent sustainability applications (2025), particularly in island community resilience and green transition frameworks. This trajectory reflects deliberate alignment with UN Sustainable Development Goals through practice-based research. Key recognitions include: HEA fellowship for teaching excellence Multiple students-led teaching awards Awarded significant research funding including AHRC's £1.8m Green Transition Ecosystem: Future Island-Island project (2023-2028) and EPSRC-funded Virtual Production Pipelines for Theatre initiative. As former programme leader at Glasgow Caledonian University and current MA Animation director, she has shaped curriculum across four undergraduate and two postgraduate programmes while mentoring emerging educators through the Caledonian Club Initiative. She actively collaborates within Ulster's Art and Design Research group and the interdisciplinary Future Island-Island consortium, recently co-organizing the "Virtual Production pipelines for Theatre affordances" conference (2023) while leading community workshops through Impact Arts as a STEM ambassador.

• Computer Vision
• Big Data Analytics
• Generative AI in Education
• +۲ مورد دیگر

Dr. Kaveh Kiani is a faculty member at the University of Salford's School of Science, Engineering & Environment, with a primary affiliation to the Informatics Research Centre. His academic profile demonstrates expertise spanning both theoretical statistics and practical AI applications across multiple industries. Doctoral degree in Applied Statistics Master's degree in Data Science Postgraduate Certificate in Academic Practice (PGCAP) Fellow of the Higher Education Academy (FHEA) Dr. Kiani's research focuses on computer vision, big data analytics, generative AI applications in education, and survival analysis. His work bridges statistical theory with practical implementations, particularly evident in medical AI applications for respiratory disease detection, skin cancer diagnosis, and prostate cancer research. His industry experience informs his approach to solving real-world problems in healthcare, construction sustainability, and financial services. His recent publications (2023-2025) demonstrate strong activity in applying deep learning techniques to medical imaging and developing novel frameworks for industry-specific challenges. The research shows a clear trajectory toward increasingly sophisticated AI applications with practical impact. Fellow of the Higher Education Academy (FHEA) awarded by Advance HE Endorsed by The Royal Academy of Engineering as a Global Talent in Data Science Dr. Kiani actively supervises PhD students and teaches across multiple postgraduate programs including MSc Data Science, MSc Artificial Intelligence, and MSc Internet of Things with Data Science. His teaching modules cover Big Data Tools and Techniques and Applied Statistics and Data Visualisation, reflecting his dual expertise in both theoretical foundations and practical applications of data science.

• Dark Knowledge
• Knowledge Management
• Information Management
• +۷ مورد دیگر

Professor Simon Burnett is a Professor of Information Management in the School of Law and Social Sciences at Robert Gordon University (RGU). With a career spanning both academia and industry, he brings practical experience to his academic role. Prior to joining RGU, he worked in the private sector designing and implementing online information systems. He has held significant leadership positions including Director of the RGU Centre for Knowledge Management (2000-2008) and Associate Director (External) of the Scottish Graduate School of Social Science (2013-2016). Professor Burnett's educational background includes: PhD in "Knowing through Narratives" MSc in Information Analysis (1993-1994) Bachelor's Degree in Librarianship and Information Studies (1989-1993, Robert Gordon University) Professor Burnett's research focuses on Dark Knowledge , Knowledge Management, Information Management, Storytelling/Narrative, Knowledge-based Processes, Communities of Practice, Innovation Management, Social Media in Political and Policing Contexts, Information visualisation, and Digital Curation. His work explores forbidden and taboo aspects of knowledge, particularly how organizations handle information that is uncomfortable or politically sensitive. He has pioneered research on "desire lines" across information landscapes and examines how narratives function in knowledge sharing processes. His publication record shows a consistent output with 52 research outputs including 24 journal articles, 14 theses, and 9 conference presentations. Recent work (2023-2025) demonstrates growing interest in Dark Knowledge, with several publications exploring its theoretical foundations and practical implications. His research spans multiple disciplines including information science, knowledge management, social media studies, and organizational behavior, often with a focus on practical applications in industry contexts. Professor Burnett has received notable recognition including: A Knowledge Transfer Partnership (KTP) with Dean's of Huntly (2020) Funding from the Leverhulme Trust for a systematic literature review on Dark Knowledge (2024) Professor Burnett is an active supervisor with 16 doctoral students currently under his guidance across various programs. He has supervised over a dozen students to completion and serves as an external examiner for multiple universities. His research is well-funded with current projects including the Leverhulme Trust grant and an industry collaboration on digital strategy implementation. As former Director of the RGU Centre for Knowledge Management (2000-2008), Professor Burnett led a team providing knowledge management research and consultancy services to high-profile clients including the United Nations, BP, and the NHS. His current research group continues to explore cutting-edge topics in knowledge management, particularly focusing on Dark Knowledge and its implications for organizations. The group maintains strong industry connections and collaborates on practical applications of knowledge management theory.

Paula Vickertonمشاهده پروفایل

مربی ارشد

• Clinically Applied Anatomy
• Anatomical Education
• Medical Education
• +۳ مورد دیگر

Dr. Paula Vickerton serves as Director of Anatomy and Deputy Head of Year 1 for the MBBS programme at Queen Mary University of London's Faculty of Medicine and Dentistry. She oversees anatomy instruction across MBBS, Physician's Associate, Biomedical Sciences, and Prehospital Care programmes, while leading curriculum development and teaching innovation initiatives since joining in 2016. Her academic foundation includes: BSc in Human Anatomy (First Class Honours) from University of Liverpool PhD in Musculoskeletal Biology from University of Liverpool Vickerton's research centers on clinically applied anatomy and anatomical education, investigating how educational theory enhances online teaching effectiveness and developing innovative methods for anatomy instruction. Her work bridges clinical practice with pedagogical advancement, particularly in virtual learning environments. Publication analysis reveals dual thematic trajectories: adaptation of anatomy education during the pandemic (virtual laboratories, online engagement strategies) and fundamental anatomical research (vascular morphology, musculoskeletal adaptation, imaging techniques). This reflects her commitment to both educational innovation and foundational anatomical science. Her scientific recognition includes: Medical School Teacher of the Year 2020/21 Faculty Teaching Innovation Award 2022 (team) Senior Fellowship of the Higher Education Academy In academic leadership, Vickerton serves as Senior Tutor for Year 3 students, Senior Internal Examiner for Paper C, and external examiner at St George's and Liverpool medical schools. She holds module leadership for Locomotor 1, Movement and Posture GEP, and Biomedical Sciences 'Human Anatomy' courses while mentoring through the Teaching Recognition Programme. As Director of Anatomy, she leads the anatomy teaching team within the Institute of Health Sciences Education, driving collaborative curriculum development and maintaining Queen Mary's reputation for excellence in medical education through evidence-based pedagogical approaches.

Eilidh Fergusonمشاهده پروفایل

مدرس ارشد

• Craniofacial growth and development
• Human identification
• 3D digitisation and learning tools
• +۳ مورد دیگر

Dr. Eilidh Ferguson is a Senior Lecturer in Anatomy at the University of Glasgow, where she serves as the Anatomy Programme Lead for Medicine and the Anatomy Lead for the Glasgow Access to Medicine Programme (GAP). She coordinates and teaches anatomy across both professional and BSc degree programmes, with expertise spanning forensic anthropology, craniofacial development, and innovative anatomy education methods. Dr. Ferguson completed her PhD in juvenile facial identification at the Centre for Anatomy and Human Identification, University of Dundee. She subsequently conducted research at Face Lab, Liverpool John Moores University on an MoD-funded project, and later received a fellowship to conduct research at the Defense POW/MIA Accounting Agency in Hawaii, where she provided identification services for skeletal remains from WWII, Korean, and Vietnam wars. Her research interests focus on craniofacial growth and development, human identification techniques, 3D digitization for learning tools, and widening access to medical education. Dr. Ferguson has developed innovative teaching methods to make anatomy education more accessible, particularly for students from underrepresented backgrounds, which contributed to the GAP program winning the Times Higher Education Award for widening participation in 2019. Analysis of Dr. Ferguson's recent publications reveals a strong focus on anatomy education innovation, particularly in making anatomy more accessible through tactile learning, reducing student anxiety in practical settings, and developing inclusive teaching methods. Her work bridges traditional anatomical knowledge with modern educational technology, while maintaining her expertise in forensic anthropology and facial identification. Dr. Ferguson has received several notable recognitions: Times Higher Education Award for widening participation (2019) as part of the GAP program Fellow of the Royal Anthropological Institute (RAI) Certified Forensic Anthropologist (FA-III) As an educator, Dr. Ferguson supervises MSc Medical Visualisation and Human Anatomy students as well as MSci Honours Year Life Science Projects. She has been instrumental in developing the Glasgow Access to Medicine Programme, which provides pathways for underrepresented students to enter medical school. Her grant-funded work includes MoD-funded projects on facial image comparison and 3D laser scanning, as well as research at the Defense POW/MIA Accounting Agency in Hawaii. Dr. Ferguson is actively involved with the Anatomical Society, where she serves as an elected councillor and currently holds the position of Meetings Officer. She collaborates with various research teams focused on anatomical education, forensic anthropology, and 3D visualization techniques for teaching anatomy.

• Dental Research
• Endocrinology
• Biomedical Visualisation

Dr. Joao Carlos Miguel serves as a Senior Lecturer at the University of Glasgow within the School of Medicine, Dentistry & Nursing. He is based at the Glasgow Dental Hospital & School, located at 378 Sauchiehall Street, Glasgow, with contact details including telephone 01412119755 and email Joao.Miguel@glasgow.ac.uk. His research spans three core domains: Dental Research : Focuses on evaluating research prize impacts and pioneering virtual microscopy adaptations for dental education during the COVID-19 pandemic. Endocrinology : Investigates insulin secretion mechanisms, beta cell electrophysiology, and muscarinic receptor signaling pathways through molecular and cellular studies. Biomedical Visualisation : Develops digital teaching tools for medical education, emphasizing remote learning solutions during global health crises. His publication trajectory from 2002-2023 reveals an evolution from molecular endocrinology (examining calcium dynamics and receptor interactions in insulin-secreting cells) toward dental education innovation, culminating in pandemic-responsive virtual microscopy applications. This shift demonstrates interdisciplinary adaptability while maintaining core expertise in physiological mechanisms.

Baki Kocaballiمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Digital Health
• Interaction Design
• +۵ مورد دیگر

Baki Kocaballi serves as a Senior Lecturer at the School of Computer Science within the Faculty of Engineering and Information Technology at the University of Technology Sydney (UTS), a position held since May 2020. He concurrently maintains an Honorary Research Fellow appointment at Macquarie University since the same date. His academic foundation includes a PhD in Interaction Design from the University of Sydney, completed in 2013. His research critically examines the convergence of artificial intelligence, digital health, and interaction design, with particular emphasis on multimodal and conversational systems. This interdisciplinary work manifests through projects like the Activating the Everyday Research Program and investigations into spatial collective intelligence developed with UNSW colleagues through the Smart Cities Research Cluster. His methodological approach integrates topological thinking—a conceptual framework he actively develops through dedicated research blogging—to challenge conventional spatial and relational assumptions in design. Analysis of his recent publications reveals dominant trends in healthcare AI applications, particularly conversational agents for clinical settings, digital scribes for documentation reduction, and context-aware systems for chronic disease management. These works consistently bridge technical AI development with human-centered design principles, reflecting his core commitment to usable and trustworthy digital health solutions. Best DC Paper Award at European Conference of Cognitive Ergonomics Doctoral Consortium (2010) Best Poster Award at Research Expo'09, University of Sydney (2009) His teaching portfolio includes advanced subjects in Design Thinking (2015-2017), Installation Studio (2012), and the Interdisciplinary Design Lab (2011), where he emphasizes human-centered methodologies, sensor-based interactive environments, and real-world problem solving. He actively supervises Masters and PhD research while collaborating across institutions through the Visualisation Institute Research Network and Trustworthy Digital Society initiatives. His artistic practice in photography and video complements his academic work, with exhibitions including the MAMA Art Foundation National Photography Prize and multiple international screenings.

• Data visualisation
• Visual Analytics
• Information Visualisation
• +۴ مورد دیگر

Christy Jie Liang is an Associate Professor at the School of Computer Science, University of Technology Sydney (UTS), where she leads the Data Visualisation Research Lab in the Visualisation Institute. With extensive experience in both academic and industry settings, including appointments at IBM and Peking University, she has established herself as a leading researcher in data visualization and visual analytics. Dr. Liang earned her PhD in Data Visual Analytics from UTS, where she was awarded the University Medal with First Class Honours. Her educational background includes a Bachelor of Information Technology (First Class Honours) also from UTS. Professor Liang's research focuses on data visualization and visual analytics, with particular emphasis on information visualization, narrative visualization, and the application of these techniques to real-world problems. Her work spans multiple domains including finance, food safety, biomedical applications, smart cities, and social media. She has developed novel visualization techniques and owns five intellectual properties in this field. Her recent publications demonstrate a clear trajectory toward more sophisticated visualization techniques that integrate machine learning, with increasing focus on narrative visualization, user engagement across demographics, and practical applications in domains such as public health and education. The interdisciplinary nature of her work is evident in collaborations across computer science, behavioral science, and domain-specific applications. Dr. Liang has received significant recognition for her work, including: University Medal with First Class Honours from UTS Capital Markets CRC Honours scholarship Australian Postgraduate Awards As an educator, Professor Liang coordinates core subjects for Bachelor of Information Technology, Bachelor of Computer Science with Honours, Master of Interaction Design, and Master of Business Analytics programs. She has recently developed enterprise learning courses including short courses and micro-credentials in data visualization education. Her leadership extends to service roles as associate editor for JVLC and Journal Visual Informatics, program committee member for numerous conferences, and advisory board member for the Australian Computer Society and Peking University Medical Visualization Centre. Professor Liang leads the Data Visualisation Research Lab, which focuses on developing innovative visualization techniques and applying them to real-world problems. The lab maintains strong industry connections, with collaborations spanning government agencies, academic institutions, and commercial enterprises across multiple continents.

• Information Visualisation
• Usability
• Web Engineering
• +۳ مورد دیگر

Veit Simon Stephan serves as a Lecturer at the Faculty of Electrical Engineering, Media and Computer Science, Amberg-Weiden University of Applied Sciences, where he also holds administrative responsibilities. His academic profile combines engineering expertise with advanced research in data visualization and human-computer interaction. Dr. Stephan completed his doctoral research under Prof. Dr. Dieter Meiller, focusing on location-based visualization of complex relational data through food environment maps. His educational background includes a Doctorate and Master of Engineering degree, establishing a foundation in both theoretical and applied technical disciplines. His research spans critical domains in modern computing: Information Visualisation for complex datasets Usability engineering principles Web Engineering frameworks Information Retrieval systems Interactive Multimedia Systems design Human-Computer Interaction (HCI) methodologies Dr. Stephan's work emphasizes practical applications of visualization techniques to enhance user experience with spatial data, particularly through web-based interactive systems. His current contact is v.stephan@oth-aw.de .