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Jing YangView profile

Professor

• Data Visualization
• Visual Analytics
• High Dimensional Data Analysis
• +7 more

Jing Yang is a full Professor and Director of MS CS Program in the Computer Science Department at the University of North Carolina at Charlotte (UNCC). She has been actively involved in data visualization and visual analytics research since joining UNCC in 2005 after completing her PhD at Worcester Polytechnic Institute. Dr. Yang earned her Bachelor's degrees in Engineering Mechanics and Computer Science from TsingHua University in 1997 and completed her Ph.D. in Computer Science from Worcester Polytechnic Institute in May 2005 under advisors Matthew O. Ward and Elke A. Rundensteiner. Her research focuses on developing visual analytics techniques for abstract data including multidimensional data, time-oriented data, networks, hierarchies, text documents, and trajectory data. She conducts design studies for application domains such as sports, bioinformatics, finance, network security, and health, while exploring fundamental visualization topics like interactions, insight management, clustering-based approaches, and animations. Her recent work emphasizes sports analytics, urban data, and multivariate time series visual analytics. Analysis of Dr. Yang's publication record reveals a strong focus on practical applications of visualization techniques across diverse domains. Her work consistently bridges theoretical visualization frameworks with real-world data challenges, particularly in transportation (taxi trajectories), sports (tennis match analysis), financial transactions, and bioinformatics. The publications demonstrate an evolution from foundational visualization techniques to increasingly sophisticated domain-specific applications. Dr. Yang has secured substantial research funding from NSF, EPA, DHS, and industry partners including Google and Bank of America. Her grants portfolio includes significant projects like TrajAnalytics (NSF, $200,950), Visualizing Event Dynamics (NSF EAGER, $75,317), and Visualizing High Dimensional Categorical Datasets (Google Faculty Research Award, $60,000), among others totaling over $4 million in research support. As an educator, Dr. Yang has taught numerous courses including Visual Analytics, Information Visualization, and Database Design. She directs the Charlotte Visualization Center and has mentored numerous students through research projects. Her collaborative approach is evident in her extensive co-authorship network spanning multiple institutions and disciplines. Current research directions include narrative animation for streaming text visualization and advanced techniques for exploring high-dimensional categorical datasets.

Shabnam Sadeghi EsfahlaniView profile

Associate Professor

• Robotics
• Mechatronics
• Artificial Intelligence
• +3 more

Dr. Shabnam Sadeghi Esfahlani is an Associate Professor in Robotics at the School of Engineering and the Built Environment, Anglia Ruskin University , where she serves as Deputy Leader of the BORI research group and leads the Automation & Robotics MSc program. Her interdisciplinary expertise spans mechatronics, artificial intelligence, virtual reality, and serious games , with a focus on applications for rehabilitation, medical training, and autonomous systems . As a Chartered Engineer and Senior Fellow of the Higher Education Academy , she has secured significant funding from Innovate UK, Horizon 2020, and GCRF , with grants exceeding £3 million. Education PhD in Mechanical Engineering, Anglia Ruskin University BSc (First Class) in Statistics & Mathematical Science, Shahid Beheshty University Her research integrates AI with robotics for societal impact, exemplified by the open-source SROBO ground robot and projects like Rehabgame and the Assistive Feeding Robot . She has published over 45 peer-reviewed articles and contributes to academic communities as a journal guest editor and conference organizer . Key collaborations include IET, IMechE, and the Nuffield Foundation as a mentor for young students. Scientific Awards & Recognitions: Chartered Engineer (CEng), Engineering Council UK Senior Fellow (SFHEA), Higher Education Academy Student-Voted 'Made a Difference Award' (2018) Post-Graduate Certificate in Higher Education

• Image Processing
• Video Compression
• Computer Vision
• +4 more

Fengqing Maggie Zhu is an Associate Professor at the Elmore Family School of Electrical and Computer Engineering within Purdue University , West Lafayette campus. Her research spans image processing , video compression , computer vision , and smart health , with notable contributions to learned image compression , 3D reconstruction , and nutrition analysis via computer vision . Educational background: BS in Electrical Engineering, Purdue University (2004) MS in Electrical and Computer Engineering, Purdue University (2006) PhD in Electrical and Computer Engineering, Purdue University (2011) Her work focuses on developing machine learning-based compression techniques for 2D/3D images and videos, with applications in food portion estimation , wearable dietary monitoring , and virtual reality facial expression tracking . She explores structured pruning , mixed precision quantization , and continual learning to create efficient, robust systems for edge-cloud collaboration. The 2025-2024 article collection reveals concentrated efforts in learned image compression (with 8 papers on quantization, pruning, hierarchical VAEs), food-related computer vision (12+ papers on portion estimation, databases, classification), and 3D reconstruction (MetaFood3D dataset, ICP-3DGS algorithm). Emerging themes include privacy-preserving AI for wearable cameras and class-incremental learning frameworks. Contact: zhu0@purdue.edu

Katherine E. LewisView profile

Associate Professor

• Mathematics Learning Disabilities
• Dyscalculia
• Accessibility in Mathematics Education
• +7 more

Katherine E. Lewis is an Associate Professor in the College of Education at the University of Washington, specializing in Special Education with a focus on high-incidence disabilities teacher education (SPED-TEP) within the Learning Sciences & Human Development area. She holds a Ph.D. and M.A. in Education from the University of California, Berkeley, an M.Sc. in Multimedia Systems from Trinity College, Dublin, and a B.A. in Psychology from the University of Notre Dame. Dr. Lewis's research fundamentally centers on designing accessible educational contexts, particularly for students with disabilities. Her primary research line focuses on students with mathematics learning disabilities (dyscalculia), where she rejects the deficit model in favor of a disability studies approach. She believes individuals are disabled not by neurological differences but by inaccessible spaces and contexts. Her work identifies how students with mathematics learning disabilities develop unconventional understandings of mathematical representations and compensatory strategies to gain access. Her second research line involves designing educational supports for foster and adoptive parents, including the resource website foster-edu.com. A third emerging area examines how American Sign Language can support Deaf students' understanding of mathematics concepts. Her publications reveal a consistent theme of bridging mathematics education and special education, challenging traditional deficit perspectives on learning disabilities. Her work emphasizes designing accessible instruction through detailed analysis of students' unconventional mathematical reasoning rather than attempting to remediate perceived cognitive deficits. She has developed innovative research methods, including clinical interviews and video analysis of one-on-one tutoring sessions, to document students' unique approaches to mathematics. Linking Research and Practice Outstanding Publication Award from the National Council of Teachers of Mathematics, 2018 National Academy of Education - Spencer Postdoctoral Fellow, 2015 Early Career Publication Award of the Special Interest Group on Research in Mathematics, 2015 Spencer Dissertation Fellowship, 2010 Dr. Lewis has created research-recaps to make her work accessible, including visual summaries and videos explaining her reconceptualization of mathematical learning disabilities as differences rather than deficits. She also maintains the research website klewismath.com and the resource site foster-edu.com for foster and adoptive parents. Her personal experience with dyslexia informs her conceptualization of learning disabilities as cognitive differences rather than irreconcilable deficits, driving her commitment to designing accessible educational contexts.

David Scott TaubmanView profile

Professor

• Multimedia Communication
• Video compression
• Image processing
• +3 more

Professor David Scott Taubman is a faculty member and Deputy Head of School (Research) at the School of Electrical Engineering and Telecommunications (EE&T) at UNSW Sydney, Australia. He is also co-director of Kakadu Software Pty. Ltd. and its affiliates Kakadu R&D and Kakadu GPU. He earned his academic credentials from the University of Sydney and University of California at Berkeley: B.Sc. in Mathematics and Computer Science, University of Sydney, 1986 B.E. (Medal) in Electrical Engineering, University of Sydney, 1988 M.Sc. in Electrical Engineering, University of California at Berkeley, 1992 Ph.D. in Electrical Engineering, University of California at Berkeley, 1994 Professor Taubman's research interests span multiple domains within electrical engineering and telecommunications, particularly focusing on: Image Compression (EBCOT algorithm, JPEG2000 technologies) Video Compression (scalable video compression, motion compensated temporal lifting) Image and Video Processing (motion and depth estimation, demosaicing of digital color images, medical image analysis) Multimedia Communication (JPIP standard for interactive imaging, scalable communication systems) He has received numerous scientific awards and honors, including best paper awards from IEEE Signal Processing Society, IEEE Circuits and Systems Society, and IEEE Int. Conf. Image Processing. He has also received teaching awards from UNSW and was recognized with the NSi Inventor of the Year Award. Professor Taubman has contributed significantly to industry standards: Author of the EBCOT coding algorithm adopted in the JPEG2000 standard in November 1998 Author of Verification Model and associated documentation for JPEG2000 Central contributor to IS15444-1, IS15444-4, IS15444-9, IS15444-15 and IS15444-17 Developer of the commercially successful Kakadu Software tools for JPEG2000 He has held various leadership positions at UNSW including Head of the Telecommunications Research Group, Head of the Signal Processing Research Group, and Director of Research at School of EE&T.

Justin HarveyView profile

Lecturer

• Generative Artificial Intelligence
• Experimental Media Arts
• Creative Practice Research
• +7 more

Justin Harvey is a Lecturer at the University of Technology Sydney (UTS) within the Faculty of Design, Architecture and Building, specializing in Media Arts and Production. He is an active member of the Creative Practice Research Group and serves on the Faculty Board and Faculty Research Committee. Harvey holds a PhD in Media Art & Design from the University of New South Wales and a Bachelor of Arts in Communication (Media Arts & Production) with First Class Honors from UTS. Harvey's research interests focus on creative uses of generative Artificial Intelligence, experimental approaches to media art making, and creative practice led research. His artistic practice spans moving image, installation, and virtual reality experiences, with a particular fascination for human-machine interaction and the creative potentials of digital technologies. He explores glitch aesthetics, digital video feedback, and imagery generated using diffusion models, often collaborating with AI systems in unexpected ways. Harvey has exhibited his work internationally at venues including VIVID Sydney, ISEA (International Symposium on Electronic Art) in Vancouver, Hong Kong, and South Korea. His 2023 collaboration with generative AI, Unprompted Studies 1-3 , was a finalist in the Fisher's Ghost Art Award. In 2024, he was selected as a Scholar in the Sydney Powerhouse Museum's Research Scholars Program for the "Knit Forward" project, which reimagines historical garments using generative AI and seamless knitwear technology. His research on creative applications of GenAI directly informs his teaching in Experimental Media and Creative Project Development. Harvey has extensive studio-based teaching experience since 2010, covering subjects such as Situated Media Installation Studio, Drama Production, and Experimental Media. Fisher's Ghost Art Award (2023 finalist) Powerhouse Museum Scholars Program funding (2024) UTS ECR Capability Development Initiative funding (2024) FASS ECR Funding (2024) Harvey supervises PhD and Masters of Research students in creative practice research and has mentored hundreds of students through capstone projects in drama, documentary, animation, and media arts installation. His current research projects include collaborations with Dr. Doris Li on reimagining historical garments using AI, and exploring the intersection of Surrealist techniques with generative AI in works like Oneironaut , exhibited at VIVID Sydney 2025.

• Coastal hydrodynamics
• Sediment transport
• Morphological changes
• +4 more

Suzana Ilic is a Senior Lecturer at the Lancaster Environment Centre, Lancaster University, specializing in coastal processes and management. Her research focuses on understanding coastal hydrodynamics, sediment transport, and morphological changes along coastlines. She develops practical tools for coastal managers to predict future changes, addressing complex challenges of coastal structures' influence on natural systems including shoreline evolution, water quality, and habitat preservation. Dr. Ilic's research interests center on coastal hydrodynamics and sediment transport processes, with emphasis on developing predictive tools for coastal management. Her work aligns with major environmental initiatives including the Foresight programme on coastal flooding and erosion, Water Framework directives, and offshore sustainable energy development. She employs integrated methodologies combining field monitoring, numerical modeling, and community engagement to address contemporary coastal challenges. Her recent publications demonstrate a strong focus on coastal morphodynamics, with increasing attention to interdisciplinary approaches connecting physical processes with social dimensions of coastal management. The research spans multiple geographical contexts including the UK's Holderness coast and Morecambe Bay, as well as international sites like Croatia, reflecting her global perspective on coastal challenges. Dr. Ilic actively supervises PhD students including Juan Montalvan Lume and leads significant research projects such as NERCOUTE Inclusive Natural Environment Futures (2025-2026) and Adaptation Pathways (2025-2026). Her professional engagement extends to the North West Regional Flood and Coastal Committee and various workshops, demonstrating her commitment to translating research into practical coastal management solutions.

Sana BilgramiView profile

Lecturer

• Cross-Cultural Identity
• Documentary Film
• Intercultural Communication
• +5 more

Sana Bilgrami serves as a Lecturer in the School of Arts and Creative Industries at Edinburgh Napier University, where she teaches introductory and advanced documentary film practice to undergraduate students. An award-winning Pakistani-born filmmaker, her creative and research work interrogates cross-cultural identity through innovative techniques including 8mm film, archival materials, and intimate voice-over narration. She actively bridges academic research with creative practice through international collaborations spanning Scotland and Pakistan. Bilgrami's research centers on the cinematic representation of South Asian women in Scottish cinema, the use of personal voice in documentary filmmaking, and the interplay between historical archives and geographical spaces. Her practice-based approach explores portrait films, essay films, and fiction-documentary crossovers to examine diasporic identity formation. This work consistently addresses themes of cultural heritage, migration, and memory through both scholarly analysis and creative outputs. Recent publications (2020-2024) reveal a cohesive trajectory examining representation politics through interdisciplinary lenses combining film studies, gender theory, and postcolonial critique. Her outputs demonstrate methodological innovation through autoethnographic film practice, collaborative curation, and archival experimentation, with particular emphasis on South Asian diasporic experiences in Scotland. This body of work consistently bridges theoretical frameworks with tangible creative outcomes across film and visual arts. Scientific Awards: Shortlisted for BAFTA Scotland Award (Tree Fellers, 2004) Shortlisted for Satyajit Ray Award (Across the Waters, 2004) Award at Scottish Students on Screen (Under My Skin, 2001) Shortlisted for Saltire Grierson award (Under My Skin, 2001) Best Documentary at Chichester Film Festival (Under My Skin, 2001) Bilgrami has secured significant research funding including a £7010 grant from the Royal Society of Edinburgh (2021-2024) for her project on South Asian women in Scottish cinema, a Creative Scotland development grant for her feature documentary 'The Album', and a 'Connect and Collaborate' grant from the British Council and Creative Scotland for the 'Ecologies of Displacement' international artist residency. While she teaches undergraduate film students, no formal graduate advisees are documented in her current profile. She collaborates extensively through Edinburgh Napier University's Centre for Creative Practice Research and Centre for Child & Family Law and Policy, while maintaining active partnerships with Koel Gallery (Pakistan), Summerhall (Edinburgh), and Art in Healthcare. Her international projects like 'Landscape of Memory' and 'Ecologies of Displacement' demonstrate sustained commitment to building transnational artistic networks focused on displacement, memory, and cultural exchange between South Asian and Scottish communities.

Angelika BraunView profile

Professor

• Sociophonetics
• Forensic Phonetics
• Contrastive Phonetics
• +6 more

Prof. Dr. Angelika Braun is a full Professor of Phonetics at the University of Trier since October 2009, with a career spanning forensic phonetics, sociophonetics, and cross-cultural speech analysis. She previously held roles at the Bundeskriminalamt (Wiesbaden/Düsseldorf) and Philipps-Universität Marburg, where she habilitated in Phonetics and Speech Processing (2000). Her work bridges academic research with forensic practice. Research Focus: Her Sociophonetics (language and emotions, gender-specific speech) Forensic Phonetics (speaker identification, voice analysis) Contrastive and Hawaiian Phonetics Speech prosody and toxin effects (smoking, alcohol) Intercultural dubbing studies Academic Contributions: Over 15 recent articles explore voice quality, emotional speech, forensic age estimation, and cross-cultural dubbing effects. Key conferences include Interspeech, International Congress of Phonetic Sciences, and ISCA. Her work appears in journals like Forensic Linguistics and The Phonetician . Scientific Honors: Fellow of the American Academy of Forensic Sciences (AAFS) Founder Member and former Chairperson of the International Association for Forensic Phonetics (IAFP) Life-Member of the International Phonetic Association (IPA) Leadership roles in ISPhS and GAL Practical Impact: Developed the Almeida-Braun Transcription System for dialect analysis and contributed to forensic audio enhancement protocols (e.g., Rodney King case). Serves as reviewer for Language and Speech , Forensic Linguistics , and JIPA . Collaborates on longitudinal studies of vocal aging and speaker identification.

A. Lynn AbbottView profile

Professor

• Computer vision
• Pattern recognition
• Artificial intelligence
• +5 more

A. Lynn Abbott is a Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech , specializing in computer vision, biometrics, and AI-driven sensing systems. His work bridges theoretical and applied domains, including autonomous vehicle perception, physiological signal analysis, and secure healthcare monitoring. Education: Ph.D., University of Illinois, 1990 M.S., Stanford University, 1981 B.S., Rutgers University, 1980 Research Interests focus on computer vision for autonomous systems, biometrics using physiological signals, and deep learning applications in transportation safety and healthcare. Recent projects include neural networks for intersection safety modeling and vision-based cardiovascular signal recovery. Publications highlight advancements in graph neural networks for traffic analysis, spatiotemporal filtering for 3D object detection, and privacy-preserving biometric authentication. His work spans disciplines like transportation safety, biomedical signal processing, and computer architecture. Labs & Teams: Affiliated with the Center for Embedded Systems for Critical Applications , contributing to real-time vision systems and hardware-software co-design for safety-critical domains.

• Developmental Psychology
• Autism Spectrum Disorders
• Technology in Education
• +5 more

Prof Nicola Yuill is a Professor of Developmental Psychology at the University of Sussex's School of Psychology. She leads the Autism Community Research Network Sussex (ACoRNS) and the Children & Technology Lab. Her research focuses on neurodiversity, particularly autism, emphasizing collaborative technologies and stakeholder co-creation of support tools. She explores digital storytelling, social interaction analysis, and inclusive design for neurodivergent populations. Yuill has secured grants from ESRC, NIH, and other bodies to investigate topics like online therapy efficacy, playground design for social play, and technology for communication. She trains Video Interaction Guidance practitioners and serves as a primary school governor. Her work bridges psychology and technology, aiming to empower autistic individuals through innovative methodologies. Key projects include the 'Digital Stories' initiative and evaluations of tablet interfaces for collaborative learning. Yuill's research highlights the importance of stakeholder partnership, with outputs featured on the National College for Research Methods and in guidelines for online therapy. Advising and grants: Yuill supervises UG/PG students and PhD candidates in children's social interaction and technology. She has led over 15 grants, including ESRC-funded studies on autism and EPSRC projects on collaborative learning interfaces. Her labs collaborate across disciplines, integrating informatics, linguistics, and education. Labs/teams: ACoRNS (focusing on autistic communities) and the Children & Technology Lab (designing inclusive tech solutions).

Nikitas KaranikolasView profile

Professor

• Natural Language Processing and Understanding
• Computational Linguistics
• Computational Phonology
• +7 more

Nikitas Karanikolas serves as Professor in the Department of Informatics and Computer Engineering at the University of West Attica since March 2018, following a distinguished career progression from Assistant Professor (2004) to Associate Professor (2010) and Professor (2014) at the Technological Educational Institute of Athens. His professional trajectory includes significant roles as Systems Head of TEI Athens Library (1996-1997) and Chief of Informatics at Aretaieio University Hospital (1997-2004), alongside leadership positions in the Greek Computer Society as Board Member (2004-2006) and Secretary General (2006-2008). His academic foundation includes: Bachelor's in Statistics and Informatics from Athens University of Economics and Business (1988) PhD in Applied Informatics from Athens University of Economics and Business (1994) with thesis "Technological and Linguistic approaches in Natural Language Understanding" Dr. Karanikolas maintains an exceptionally broad research portfolio spanning Natural Language Processing , Computational Linguistics , Medical Informatics , and Green Energy systems. His work consistently bridges theoretical computational frameworks with practical healthcare applications, particularly evident in recent dementia care technologies and Greek language processing systems. The interdisciplinary nature of his research connects computational phonology with medical diagnostics and e-government applications. Analysis of his 15 most recent publications reveals a pronounced shift toward AI-driven healthcare solutions (particularly dementia patient monitoring), multilingual NLP systems (Greek and Polish), and urban safety applications . His work demonstrates consistent methodology development in ontological representations and multimodal fusion techniques, with increasing emphasis on real-world clinical and governmental implementations since 2023. No scientific awards were documented in the source materials. With 16 journal papers, 68 conference publications, and six authoritative Greek university textbooks, Dr. Karanikolas maintains an active research trajectory. His advising capacity is evidenced through extensive publication mentorship, particularly in medical informatics and NLP projects. While specific grant details are unavailable, his hospital information system implementations and textbook authorship suggest successful research funding acquisition. Current research activities focus on multimodal aggression prediction systems for dementia care, Greek language ontological frameworks, and urban navigation safety applications, primarily conducted through the University of West Attica's informatics infrastructure.

Adín Ramírez RiveraView profile

Professor

• Computer Vision
• Machine Learning
• Representation Learning
• +6 more

Adín Ramírez Rivera is a Professor in the Digital Signal Processing and Image Analysis (DSB) group at the Department of Informatics, University of Oslo. His research focuses on representation learning and computer vision, particularly exploring machine learning methods to describe and understand visual data. He is a Senior Member of the IEEE and a member of the ELLIS Society. Education : PhD from Kyung Hee University's Image Processing Lab, South Korea; Bachelor's degree in Engineering from Universidad de San Carlos de Guatemala, majoring in Computer Science and Systems Engineering. Ramírez Rivera's research spans diverse computer vision tasks including facial analysis, object detection, image enhancement, and vision transformers. His work emphasizes self-supervised learning, fair representation learning, and novel neural network architectures for image segmentation and classification. Recent publications highlight trends in vision transformers, crowd counting, facial expression recognition, and fair representation learning. His articles frequently address statistical modeling, feature extraction, and deep learning techniques for visual tasks. Scientific Awards : Senior Member of the IEEE, Member of the ELLIS Society. He collaborates with researchers across institutions, contributing to projects involving anomaly detection, multilingual translation, and astrophysical modeling. His lab affiliations include the Digital Signal Processing and Image Analysis group and the Section for Machine Learning at the University of Oslo.

Hyojoon KimView profile

Assistant Professor

• Computer Networks
• Programmable Networks
• Software-Defined Networking
• +3 more

Hyojoon Kim is an Assistant Professor in the Department of Computer Science at the University of Virginia. His research focuses on computer networks and distributed systems, emphasizing in-network computing, programmable networks, software-defined networking (SDN), network measurement, and security. He received his Ph.D. from Georgia Tech (2015) and B.S. from the University of Wisconsin-Madison (2005). Prior to UVA, he worked as an Associate Research Scholar at Princeton University. Education: Ph.D. in Computer Science, Georgia Institute of Technology, 2015 B.S. in Computer Science, University of Wisconsin-Madison, 2005 Research Interests: Programmable Networks & SDN Network Measurement & Performance Analysis Network Security & Privacy In-Network Computing & Real-Time Monitoring Teaching: CS 7457: Advanced Computer Networks (Graduate) CS/ECE 4457: Computer Networks (Undergraduate) CS 6501: Software-Defined Networking & Programmable Networks (Graduate) Lab & Group: The Network Mechanics Group at UVA focuses on improving network monitoring, troubleshooting, and configuration through SDN, P4, and programmable data planes. Advising: Current advisees include Di Zhu (PhD) and Carson Kuzniar. The group actively seeks PhD students interested in systems and networking research.

Patrick OlivierView profile

Professor

• Human-Centred Design
• Digital Health
• Collaborative Computing
• +3 more

Patrick Olivier is a Professor at Monash University's Department of Human Centred Computing, with adjunct roles at Monash University Indonesia and Malaysia. He leads the Action Lab, a multidisciplinary research group focusing on human-centred design, digital health, and social innovation. His work bridges academia and real-world impact, particularly in co-design methods and implementation science. He holds a PhD in Language Engineering from the University of Manchester and has extensive industry experience, including founding Lexicle Ltd and Axivity Ltd. Education: PhD in Language Engineering, University of Manchester (1998) MSc in Artificial Intelligence, University of Wales (1991) Postgraduate Diploma in Computing, University of Bradford (1990) BA in Natural Sciences (Physics), University of Cambridge (1989) Research Interests: Co-design methods, digital health, technology-enhanced learning, collaborative and social computing. Recent Work Trends: His articles (2023–2025) emphasize digital health interventions, community engagement in tech design, and the societal impacts of light exposure. Key themes include participatory frameworks for marginalized groups and scalable healthcare systems. Awards: 2022 Dean's Award for Excellence in Research Engagement 2021 Dean’s Community Research Award 2018 ACM Honorable Mention & Sydney Vice Chancellor's Award Advising & Grants: Supervises PhD students in digital health and co-design. Principal Investigator on projects like the EPSRC Centre for Digital Civics and global health initiatives (e.g., Open Nutrition, PIP-Kids). Lab/Teams: Action Lab (Australia, Malaysia, Indonesia) focuses on tech for social innovation, digital health, and civic engagement.