Find Academic Supervisors

• Digital Forensics
• Criminal Investigation
• Computer Science
• +4 more

Matthew James Sorell is a Senior Lecturer at the University of Adelaide since October 2002. He holds a Doctor's Degree from George Mason University (1998), supervised by Geoff Orsak, focusing on 'Robust Importance Sampling'. His research spans Digital Forensics, Criminal Investigation, and Computer Science, with emphasis on image/video analysis, surveillance technologies, and data provenance. Education: PhD in Computer Sciences, George Mason University, 1998 Research Interests: His work focuses on digital evidence analysis, forensic science applications, and the development of methodologies for authenticating digital media. Key areas include photo-sensor fingerprinting, mobile forensics (e.g., Snapchat surveillance protocols), and health data provenance analysis (Apple Health databases). He has contributed to advancing video motion detection, smart camera systems, and forensic photography audit logs. Publications: His recent work emphasizes digital forensics in health data and social media, with notable contributions to Forensic Science International Digital Investigation and IEEE conferences. Earlier research includes biologically-inspired video enhancement and JPEG quantization analysis. Professional Roles: From 2017-2022, he worked as a Digital Investigations Consultant (part-time). He has edited conference proceedings (e.g., e-Forensics 2009) and contributed to interdisciplinary studies like food advertising patterns on Australian TV. Labs/Teams: Collaborates with teams in digital crime forensics, surveillance systems, and multimedia forensics, reflected in his conference organizing roles and journal editorships.

Veronica GrahamView profile

Lecturer

• Virtual Reality Art
• Experimental Comics
• Climate Change Art
• +5 more

Veronica Graham is a new media artist and printmaker serving as Lecturer in Stanford University's Department of Art & Art History. Based in Oakland and Portland, she founded the design studio Most Ancient in 2010, specializing in experimental comics and exploration games. Her interdisciplinary practice bridges digital media and analog print publishing through poetic world-building that confronts contemporary environmental and social challenges. Her research centers on virtual reality narratives, climate-focused printmaking, and surrealist comics that explore internalized fictions. Key projects include the VR experience Diatribes (2024), examining fears about global warming through a haunted house framework, and the Global Warming Agitprop Posters series (2020-present) using phosphorescent materials to visualize ecological instability. She employs techniques like Wang tile systems for pattern generation and split fountain printing to stretch technical boundaries. 2025 Writer-in-Residence, Writing Space, Chicago 2024 IndieCade Impact Award Nominee for Diatribes 2022 Oculus Launch Pad Grant Recipient 2019 Best American Comics Notable Comics selection 2017 Artist’s Book Residency Grant, Women’s Studio Workshop Graham’s work appears in MoMA, NYPL, and SFMOMA collections. Her VR projects have been presented at Kala Art Institute, Printed Matter (NYC), and Sónar+D. As an educator, she lectures on virtual reality at Stanford and has conducted workshops at institutions including Tufts University and UC Berkeley. Her studio Most Ancient functions as both creative laboratory and publishing platform, supporting collaborative projects like Real Milk (2023) which examines agricultural automation through translucent book design.

• AI & Neuroscience
• Biomedical Engineering
• Neurotechnology
• +7 more

Aldo Faisal is a Professor of AI & Neuroscience at Imperial College London's Department of Bioengineering and Faculty of Engineering. He is also the Founding Director of the UKRI Centre for Doctoral Training in AI for Healthcare (£20M), leading the Faisal Lab. His roles include associate investigator at the MRC London Institute of Medical Sciences and affiliation with the Gatsby Computational Neuroscience Unit (UCL). His research bridges AI, neuroscience, and healthcare, focusing on neurotechnology, human behavior analysis, and clinical applications. Education: Studied Computer Science and Physics in Germany, followed by Biology at the University of Cambridge (Emmanuel College). Earned a PhD in Neuroscience under Simon Laughlin, and postdoctoral work with Daniel Wolpert on sensorimotor control. Prior professional experience includes roles at McKinsey & Co. and Credit Suisse. Research Interests: Combines cross-disciplinary approaches to study brain-behavior relationships, developing technologies for neurological disorders and amputees. Key labs include the Brain & Behaviour Lab (neurotechnology) and Behaviour Analytics Lab (behavioral data science). Techniques include machine learning, robotics, and neuroimaging (EEG/fNIRS). Publications: Over 100+ peer-reviewed articles, spanning AI in healthcare, motor learning, and neurotechnology. Recent work emphasizes safety of AI in critical care, wearable biomarkers for neuromuscular diseases, and human-AI collaboration. Awards: UKRI Turing AI Fellowship, Toyota Mobility Prize ($50k), Rosetree Interdisciplinary Award (£300k), and fellowships from German National Merit Foundation and Böhringer-Ingelheim Foundation. Elected to Global Futures Council (WEF, 2016). Grants & Labs: Leads £20M CDT in AI for Healthcare, £2M Turing Fellowship project, and manages labs at Imperial and University of Bayreuth (Germany). Collaborates with institutions like CRUK Convergence Science Centre and Data Science Institute.

James BishopView profile

Professor

• Ocean carbon cycle dynamics
• Remote sensing
• Aquatic chemistry
• +5 more

James Bishop is a Professor in the Department of Earth and Planetary Science at the University of California, Berkeley, and a Faculty Senior Scientist at Lawrence Berkeley National Laboratory. He earned a B.Sc. (Honors) in Physical and Inorganic Chemistry from the University of British Columbia and a Sc.D. in Marine Chemistry from the MIT/Woods Hole Oceanographic Institution Joint Program in Oceanography. His research focuses on ocean carbon cycle dynamics, remote sensing, aquatic chemistry, marine biogeochemistry, and autonomous observing systems. Key affiliations: Lawrence Berkeley National Laboratory (since 2006), University of Victoria (School of Earth and Ocean Sciences), and Columbia University (Lamont Doherty Earth Observatory). Dr. Bishop’s research spans marine particle dynamics, biogeochemical cycling, and development of autonomous sensors for ocean carbon monitoring. His work involves major initiatives like GEOTRACES and VERTIGO, with emphasis on particulate inorganic/organic carbon (PIC/POC) proxies, carbon flux validation, and optical sensor integration. Recent publications highlight advancements in robotic oceanography, carbon export quantification, and cross-polarized light detection methodologies.

Janice KimView profile

Lecturer

• Early Childhood Education
• Educational Policy
• Global Education Development
• +3 more

Dr. Janice Kim is a Lecturer in Education (Educational Leadership & Policy) at the University of Glasgow, specializing in global education development with a focus on early childhood and pre-primary education systems in low-resource contexts. Her research emphasizes policy analysis, equity, and North-South research partnerships, particularly during crises like the ongoing pandemic. Current Position: Lecturer in Education at University of Glasgow Research Focus: Pre-primary education expansion, pandemic impacts on education systems, policy implementation gaps, and ethical global partnerships Kim's work examines Ethiopia's educational reforms and their socioeconomic implications, including the effects of the 2020 pandemic on early childhood access and learning outcomes. She collaborates with institutions like the REAL Centre at Cambridge University, contributing to projects such as IT'S PLAY—a teacher training initiative in Africa. Her publications span over a decade, analyzing educational inequalities, financing misalignments, and crisis responses. Notable contributions include studies on pandemic-related learning loss and the role of caregiver engagement in early education. Teaching includes advanced policy inquiry and modern educational thought courses, reflecting her commitment to bridging theory and practice in global education systems.

Lee PretloveView profile

Lecturer

• Digital Preservation
• Information Management
• Extended Reality (XR) in Education
• +3 more

Dr. Lee Pretlove is a Lecturer in Librarianship and Information Management at the University of Sheffield's School of Information, Journalism and Communication. He holds a PhD from the University of Sheffield (2022), focusing on runners' embodied data experiences through wearable technology. Prior roles include Systems Archivist at Cambridge University Library and Polonsky Fellow in Digital Preservation (collaborating with Bodleian Libraries). He currently holds an ESRC WRDTP Postdoctoral Fellowship (2023/24) and will assume his lecturer role post-fellowship in 2024. Education: BA (Exeter), MA (Exeter), PhD (Sheffield), PGDip in Archive Studies (Dundee). Research interests span digital preservation, extended reality (XR) in education, data privacy, and human-technology interaction. Teaching includes modules in MSc Data Science, MSc Information Management, MA Librarianship, and the BA Digital Media and Society program. He develops AR resources using WondaVR to simulate workplace environments for student learning. Awards: AHRC doctoral funding, ESRC fellowship, Polonsky Fellowship Research groups: Digital Societies and Health Informatics at Sheffield Professional memberships: ASIS&T, University of Sheffield’s Participatory Research Network Publications include work on digital preservation collaboration, archival ethics, and runner data studies. His teaching emphasizes student-centered learning, employability, and compliance with information governance frameworks like GDPR.

• Human-AI Value Alignment
• Ethical Machine Learning
• Algorithmic Fairness
• +5 more

Neil S. Gaikwad is an Assistant Professor at the University of North Carolina, Chapel Hill, in the School of Data Science and Society and Department of Computer Science. He holds a PhD in Society-Centered AI from MIT and has affiliations with the MIT Dalai Lama Center for Ethics and UNC’s Parr Center for Ethics. His research focuses on Human-AI Alignment, ethical machine learning, and policy design for global equity, particularly in underserved populations. His work integrates ethical principles into AI systems to address societal disparities, climate change, and algorithmic fairness. Dr. Gaikwad has led projects such as the AI and Policy research program, developed systems like Daemo and EteRNA, and contributed to high-impact publications in AAAI, ACM CSCW, and PNAS. He has mentored over 30 students, many of whom have secured fellowships and advanced AI fairness research. Awards include MIT’s Karl Taylor Compton Prize and Facebook Research Fellowship. His teaching spans courses on AI ethics, policy, and societal impact at MIT, CMU, and UNC, with student evaluations praising his mentorship and course design. He has advised global institutions like the UN and EU on AI policy, and his work bridges academia, industry, and policy through initiatives like Data-driven Humanitarian Mapping. His art installations, such as Beyond Boundaries , explore environmental and ethical themes, reflecting his interdisciplinary approach to science and society.

Melanie FeinbergView profile

Professor

• Data Modeling
• Critical Data Studies
• History of Information Science
• +3 more

Melanie Feinberg is a Professor at the School of Information and Library Science (SILS), University of North Carolina at Chapel Hill. She specializes in data modeling, critical data studies, and the history of information science. Her research examines the human dimensions of data, blending information science, design, and humanities perspectives. She holds a BA in Humanities from Stanford University, an MIMS from UC Berkeley, and a PhD in Information Science from the University of Washington. Feinberg’s work focuses on classification systems, metadata architectures, and the design of expressive information collections. Her book Everyday Adventures with Unruly Data (MIT Press, 2022) explores how data interacts with human practices. She teaches courses like Foundations of Information Science (INLS 201), Organizing Information (INLS 520), and Metadata Architectures (INLS 720). Her research has been recognized with awards including the Marie Skłowdoska-Curie Fellowship (2019-2021) and IAH Faculty Fellowship (2018-2019). Her articles span HCI, library science, and design, addressing topics like database interactions, rhetorical design, and ethical classification systems. She has advised numerous projects on digital curation, metadata standards, and data-driven storytelling. Feinberg’s interdisciplinary approach bridges technical systems and humanistic inquiry. She actively contributes to academic discourse through her work on classification ethics, data criticism, and the role of design in shaping information systems.

• Human-Computer Interaction
• Design Research
• Posthuman Studies
• +3 more

Heidi Biggs is an Assistant Professor in the School of Literature, Media, and Communication at the Ivan Allen College of Liberal Arts, Georgia Institute of Technology. Her work bridges posthuman theory with design practices, focusing on narrative forms of knowledge, queer entanglements with land histories, and sustainability through interdisciplinary mapping. She teaches courses like 'Principles of Interaction Design' and 'The Computer Expressive,' emphasizing creative and critical approaches to technology and society. Her research explores intersections of HCI, environmental design, and critical theory, with notable projects on AI ethics, rural queer communities on TikTok, and the legacy of redlining in sustainability. She employs methods like multispecies ethnography and speculative design to challenge normative technological and ecological frameworks. Biggs' recent work includes analyzing hallucinations in NLP systems and developing embodied data mapping techniques that intertwine bodily, environmental, and digital data. Though no awards are explicitly listed, her contributions to critical design and posthuman studies reflect impactful scholarly engagement. Her courses and research emphasize participatory futuring and collective healing, addressing systemic inequities in technology and environmental policy. While no advising or grants are detailed, her projects often involve collaborative, community-oriented approaches to design innovation.

• Environmental History
• Canadian History
• Agricultural History
• +4 more

Shannon Stunden Bower is a Professor in the Department of History, Classics, and Religion at the University of Alberta. Her research focuses on environmental history, particularly in northern North America with an emphasis on Canada’s Prairies and northern Great Plains. She examines water management, agricultural industrialization, and government institutions, with recent work on post-1945 irrigation projects in Saskatchewan and Alberta. Bower is actively involved in academic leadership, serving on the executive and editorial collective of the Network in Canadian History and Environment (NiCHE) and as an associate editor for Prairie History . She co-curated the Climate and Change website, integrating digital tools to explore 1930s drought history. Teaching responsibilities include courses such as HIST 260 (Pre-Confederation Canada) and graduate methodology seminars. Her courses emphasize historiography and research methodologies for honors students. Her research spans topics like irrigation infrastructure in Ghana, GIS technologies in mid-20th century Canada, and urban environmental activism in Edmonton. Bower’s work bridges historical analysis with contemporary environmental challenges, emphasizing interdisciplinary approaches. Recent publications address gendered knowledge in agricultural rehabilitation and the socio-ecological impacts of water management policies. She collaborates widely, contributing to scholarly debates on rural economies, environmental justice, and development policies. Bower advises students on Canadian and environmental history topics, particularly those related to the Prairie West. Her grants and fellowships support projects analyzing the intersections of environment, technology, and governance. She maintains active participation in academic networks, ensuring her research informs both scholarly discourse and public understanding of environmental history.

Noura HowellView profile

Assistant Professor

• Ethical AI
• Emotion AI
• Design Futuring
• +4 more

Noura Howell is an Assistant Professor in the School of Literature, Media, and Communication at the Georgia Institute of Technology. Her work focuses on ethical AI, emotion AI, and design futuring, emphasizing inclusivity and critical reflection through artistic and technical explorations. She holds a PhD in Information & Management Systems from UC Berkeley and a BS in Engineering from Olin College. Research interests include biosensing technologies, queer/crip design methodologies, and the intersection of embodiment with emerging technologies. Notable projects include the Future Feelings Lab, which critiques emotion AI through participatory audits and fabulative design practices, and investigations into thermal feedback systems and Sufi spiritual practices mediated by technology. Awards include an NSF CAREER Award for reimagining emotion AI, a Google TensorFlow Faculty Award for educational outreach, and the Ralph E. Powe Junior Faculty Enhancement Award. Teaching spans computational media, interaction design, and design futuring courses. Her lab explores speculative design through projects like the Heart Sounds Bench (life-affirming biosensing) and Salaam, an inflatable sculpture addressing Islamophobia. She has collaborated on interdisciplinary STEAM education initiatives like PREMIER artist residencies.

Josh ReissView profile

Professor

• Audio Engineering
• Signal Processing
• Music Production
• +4 more

Josh Reiss is a Professor of Audio Engineering at Queen Mary University of London (QMUL), part of the School of Electronic Engineering and Computer Science . He holds additional roles including President-Elect and Fellow of the Audio Engineering Society (AES), and Visiting Professor at Birmingham City University. His research focuses on audio signal processing, procedural audio, and intelligent music production. He earned degrees including BSc in Physics, BSc in Mathematics, and a PhD. Research & Awards : Reiss has published over 200 papers, authored books like Intelligent Music Production , and received awards such as the AES Board of Governors Award (2009, 2010) and Best JAES Paper 2016. His work spans sound synthesis, dynamic range compression, and live audio systems. Teaching & Industry : Teaches modules like Artificial Intelligence and Sound Design. Co-founded startups LandR (AI mixing), Tonz, and Nemisindo. Leads the Centre for Digital Music at QMUL, advancing research in audio technology. Labs & Teams : Active in the Centre for Digital Music, collaborating on projects like the Open Multitrack Testbed and semantic audio evaluation tools.

Moe Thandar WynnView profile

Professor

• Process Mining
• Data Quality
• Business Process Management
• +3 more

Professor Moe Thandar Wynn is a Co-Director of QUT's Centre for Data Science and holds a Professorship in the School of Information Systems at Queensland University of Technology (QUT). She leads the Process Science Academic Program and serves as the Academic Lead of Research for the School of Information Systems. Her expertise spans Process Mining, Data Quality, and Robotic Process Automation (RPA). Prof Wynn has attracted over AUD 6 million in research funding and holds an h-index of 41 with 8700+ citations. She is a member of the Australian Research Council College of Experts (2023–2025) and has received prestigious awards including the QLD Women in Technology Excellence Award (2024). Her research focuses on formal foundations of process modeling, verification, and automation. She has contributed to international conferences as a co-chair and program committee member, and co-edited special issues on RPA and process dynamics. Prof Wynn collaborates with industries like healthcare, insurance, and agriculture to optimize business processes through data-driven insights. Current research includes privacy-preserving process mining and quality-driven event log enhancement. Education: PhD (QUT, 2006), M. Information Technology (Research, QUT) Key Projects: Hospital Capacity Optimization, Liquid Process Model Collections, Risk-Aware BPM Supervision: Over 10 completed PhD/MSc students in process mining and analytics Awards: Multiple QUT Excellence Awards, ARC College Membership Her lab focuses on advancing process intelligence and RPA, with ongoing efforts in data quality frameworks and process mining standards (e.g., IEEE XES). She actively participates in industry partnerships, such as the CRC Food Agility project, to bridge research and real-world applications.

Natasha SchüllView profile

Associate Professor

• Cultural Anthropology
• Digital Technology and Society
• Addiction Studies
• +4 more

Natasha Schüll is an Associate Professor of Media, Culture, and Communication at New York University, serving as Director of Undergraduate Studies. Her work bridges cultural anthropology and technology studies, focusing on addiction, anxiety, and digital self-regulation. She holds affiliations with NYU’s Steinhardt School of Culture, Education, and Human Development. Her research has been supported by grants from the National Science Foundation, Alfred P. Sloan Foundation, Woodrow Wilson Foundation, and Robert Wood Johnson Foundation. Notable outputs include her 2012 book Addiction by Design: Machine Gambling in Las Vegas , which analyzes casino design tactics, and her upcoming project Keeping Track examining sensor-based self-tracking technologies. She also directed the documentary Buffet: All You Can Eat Las Vegas , broadcast on PBS. Her research interests include the psychological impacts of digital technologies, self-quantification practices, and the intersection of health with wearable devices. Her articles explore topics like data-driven self-care, algorithmic addiction, and the ethics of digital containment systems. Media features include coverage by 60 Minutes , New York Times , Economist , and National Public Radio. Her work critiques how technology shapes human behavior while proposing frameworks for ethical design.

James BradburyView profile

Lecturer

• Machine Learning
• Sound Art
• Computer Music
• +3 more

James Bradbury is a Music Lecturer at the Conservatorium of Music, University of Western Australia. He holds a PhD in Music Technology (2021) from the same institution. His research focuses on integrating machine learning into music creation and performance, with expertise in sound art, experimental art, and software development for creative applications. Previously, he served as a Post-Doctoral Research Fellow in Creative Coding at the University of Huddersfield (2021–2022). Education: Doctor of Philosophy in Music Technology, University of Western Australia (2021) Research Interests : Bradbury explores machine learning's role in shaping contemporary music through real-time interactive systems, sound art installations, and experimental music performance. His work emphasizes computational tools for creative processes, including the Fluid Corpus Manipulation (FluCoMa) platform, which enables novel compositional workflows. He investigates how algorithmic approaches can expand artistic expression while maintaining human creativity at the core. Research Trends : Recent works highlight interdisciplinary collaborations between music and computer science, particularly in developing open-source tools like FluCoMa. His performances and publications demonstrate a focus on non-narrative musical forms and real-time algorithmic generation. The 2025 Audible Edge performance exemplifies this through live machine learning-driven sample selection. Awards and Grants : No specific awards or grants mentioned in the provided texts. His contributions are primarily reflected in creative outputs and academic publications. Labs and Teams : Active within the Conservatorium of Music, Bradbury collaborates with institutions like the University of Huddersfield and participates in festivals such as Audible Edge. His work is closely tied to the FluCoMa research collective, emphasizing open-source software development for artistic innovation.