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Scott MoffatView profile

Professor

• Spatial Cognition
• Navigation
• Cognitive Aging
• +2 more

Scott Moffat is a Professor of Psychology at Georgia Institute of Technology, affiliated with the School of Psychology. He holds a Ph.D. in Psychobiology & Clinical Neuropsychology from the University of Western Ontario (1998). His research focuses on the cognitive neuroscience of aging, particularly the interplay between hormonal systems (e.g., cortisol, testosterone, insulin) and spatial cognition, navigation, and brain aging. He employs neuroimaging (fMRI/PET), behavioral assessments, and biochemical assays to study these topics. A key innovation is his use of virtual reality environments to evaluate spatial memory in older adults. Research interests emphasize stress physiology, including cortisol’s role in hippocampal atrophy and Alzheimer’s risk, testosterone’s impact on cognitive aging, and insulin’s effects on neural function. His work highlights individual differences in cognitive aging and the biological mechanisms underlying such variability. He has published extensively on spatial navigation strategies, age-related neural changes, and the application of virtual technologies for cognitive assessment. Labs/Teams: Director of the Cognitive Neuroscience of Aging Lab at Georgia Tech’s Center for Advanced Brain Imaging. His lab investigates brain-behavior relationships in aging using multimodal neuroimaging and endocrine measures.

• Computer Vision
• 4D Vision
• Machine Learning
• +9 more

Professor Adrian Hilton is a distinguished faculty member at the University of Surrey, serving as Director of the Centre for Vision, Speech and Signal Processing (CVSSP) and Director of the Surrey Institute for People-Centred AI. He is affiliated with the School of Computer Science and Electronic Engineering and leads the Visual Media Research Lab (V-Lab). His research focuses on pioneering next-generation 4D computer vision technologies that enable machines to understand and model dynamic real-world scenes. Key areas include 3D/4D shape capture, computer vision, machine learning, graphics, and animation for applications in sports analysis, film/TV production, virtual reality, and medical imaging. His work bridges the gap between real and computer-generated imagery, with notable contributions in volumetric capture, motion capture, and free-viewpoint video. Hilton's recent publications demonstrate a strong trend toward multimodal integration, particularly combining audio and visual processing for spatial audio applications, while advancing 4D reconstruction techniques for human performance capture. His work increasingly incorporates transformer architectures and neural rendering techniques for improved illumination estimation, shadow modeling, and multi-view consistency. Scientific Awards and Recognition Two EU IST Innovation Prizes Manufacturing Industry Achievement Award Royal Society Industry Fellowship (2008-2011) Royal Society Wolfson Research Merit Award in 4D Vision (2013-2018) Fellow of the Royal Academy of Engineering (FREng) Fellow of the International Association for Pattern Recognition (FIAPR) Fellow of the Institution of Engineering and Technology (FIET) Hilton actively mentors PhD and post-doctoral researchers through his leadership of CVSSP, which has a grant portfolio exceeding £31M and comprises 170 researchers. He has successfully commercialized several technologies, including systems used by the BBC for sports commentary visualization. His research collaborations span major industry partners including BBC, BT, Sony, Framestore, and The Foundry. He co-founded the G3 Games forum and the CVMP Conference on Visual Media Production, demonstrating strong engagement with the creative industries. Current research projects include the S3A Programme Grant in Future Spatial Audio and InnovateUK's ALIVE project for 360 video reconstruction.

Daniel AngusView profile

Professor

• Artificial Intelligence
• Social Media Analysis
• Computational Social Science
• +3 more

Professor Daniel Angus is a faculty member at Queensland University of Technology (QUT), holding the position of Professor of Digital Communication in the School of Communication and serving as Director of QUT's Digital Media Research Centre (DMRC). His research focuses on computational methods applied to communication and media studies, with a particular emphasis on AI, automation, misinformation, and digital societal impacts. He holds a PhD in computer science from Swinburne University of Technology and has extensive experience in interdisciplinary research across computer science, design, communication, linguistics, and journalism. Affiliations: ARC Centre of Excellence for Automated Decision Making & Society, ARC Centre of Excellence for the Dynamics of Language. Research Projects: Leads projects like 'Using Machine Vision to Explore Instagram’s Everyday Promotional Cultures' and 'Evaluating the Challenge of ‘Fake News’ and Other Malinformation'. Research Interests: Daniel’s work bridges technology and society, exploring AI ethics, algorithmic transparency, social media governance, and computational methodologies for analyzing communication patterns. He develops tools like Discursis and PauseCode to study discourse and conversational dynamics in healthcare, aged care, and media contexts. Grants & Awards: Principal Investigator on multiple ARC grants and collaborates with industry stakeholders to address challenges like unhealthy food advertising and platform accountability. His research has informed policy submissions to parliamentary committees on social media regulation and AI adoption. Supervision: Current PhD students focus on topics like algorithmic transparency, computational methods for meme analysis, and AI in publishing. Labs/Teams: Directs the Digital Media Research Centre, fostering interdisciplinary projects on digital culture and platform studies.

Todd OakleyView profile

Professor

• Evolution
• Bioluminescence
• Convergent Evolution
• +7 more

Todd Oakley is a Professor and Department Chair of the Department of Ecology, Evolution, and Marine Biology (EEMB) at the University of California, Santa Barbara (UCSB). He joined the faculty in 2003 and currently serves as Vice Chair of resources for EEMB, while also being a member of UCSB’s Marine Science Institute. His academic career includes a BS and MS from the University of Wisconsin-Milwaukee, a PhD in Biological Sciences from Duke University, and an NIH-NRSA postdoctoral fellowship at the University of Chicago. His research focuses on the origins and evolution of complex traits, particularly visual systems and bioluminescence in marine invertebrates. The lab investigates four main paths: (1) the evolutionary origins of vision and light-interacting genes, (2) diversification of arthropod eye designs, (3) convergent evolution in mollusks like octopuses and chitons, and (4) genetic drivers of ecological interactions in algae relevant to biofuel production. Notable tools developed include the Osiris Galaxy workflow for phylogenomic analysis and the CoMET plug-in for character evolution modeling. Dr. Oakley has advised over 17 students, including graduate and undergraduate researchers, many of whom have pursued postdoctoral or academic roles. His scientific contributions include the NIH-NRSA postdoctoral fellowship and over 119 peer-reviewed publications, often leveraging phylogenetics and genomics to address evolutionary questions. Collaborators include institutions like University of Chicago, UC-Davis, and international centers such as the University of Tartu and Museum Victoria. The lab emphasizes interdisciplinary approaches, combining fieldwork, molecular techniques, and computational biology.

Daphna BuchsbaumView profile

Associate Professor

• Behavioral Neuroscience
• Developmental Psychology
• Higher-Level Cognition
• +3 more

Daphna Buchsbaum is an Associate Professor of Cognitive and Psychological Sciences at Brown University, leading the Computational Cognitive Development Lab and Brown Dog Lab. She holds a dual background in Psychology and Statistics from UC Berkeley, a Master’s in MIT Media Lab, and a Brown undergraduate degree. Her work explores causal and social reasoning in children and non-human animals like dogs, focusing on how learners combine social and observational data. Education: A.B. in Human Biology, Brown University (2002) M.Sc. in Media Arts & Sciences, MIT Media Lab (2004) M.A. and Ph.D. in Psychology, UC Berkeley (2013) Research Focus: Investigates how children and animals form causal beliefs through social interactions and direct observation. Key topics include: Canine cognition and problem-solving Children’s causal reasoning and pretend play Computational models of belief systems Key Achievements: NSF/Office of Naval Research grants Templeton World Charity Foundation funding 2021 Society for Research in Child Development Early Career Award 2018 APS Rising Star designation Lab Activities: Conducts participatory studies with children and dogs, using eye-tracking and behavioral experiments. Recent projects include: Head-mounted eye-tracking in dogs Cross-cultural studies of causal reasoning Analysis of canine visual environments

David EgglestonView profile

Professor

• Marine Ecology
• Fisheries Science
• Behavioral Ecology
• +4 more

Dr. David Eggleston is an Alumni Distinguished Undergraduate Professor and Director of the Center for Marine Sciences and Technology (CMAST) at NC State University. He leads the Marine Ecology and Conservation program, focusing on fisheries ecology, habitat restoration, and deep-sea biology. His research integrates field observations, modeling, and molecular tools to address ecological theory and sustainable resource management. Eggleston holds affiliations with the Department of Marine, Earth & Atmospheric Sciences and serves on national/international advisory boards. His academic roles include teaching courses like Introduction to Oceanography and Marine Benthic Ecology . Eggleston’s research spans tropical to temperate marine systems, emphasizing interdisciplinary approaches linking biology, physics, and economics. Awards include NSF’s Early Career Award and recognition in teaching/outreach. Current students focus on topics like oyster reef acoustics, coral reef soundscapes, and blue crab habitat dynamics. Eggleston’s lab emphasizes graduate mentorship, fostering future leaders in academia and resource management. Outreach initiatives include Ecological Synergism and educational tools like The Blue Crab in NC . Collaborative projects involve NOAA, The Nature Conservancy, and international marine organizations.

Nicole HartnettView profile

Research Fellow

• Advertising Effectiveness
• Brand Management
• Consumer Behaviour
• +7 more

Dr. Nicole Hartnett is a Senior Marketing Scientist at the Ehrenberg-Bass Institute for Marketing Science, University of South Australia, where she conducts high-impact research on advertising effectiveness, brand performance, and consumer behavior. She serves as Associate Editor of the Journal of Advertising Research , contributing to the advancement of marketing science globally. Research Focus: Nicole's work centers on how advertising content influences sales, with particular emphasis on creative drivers, distinctive brand assets, and media planning. Her research integrates data analytics with behavioral insights to improve advertising measurement and strategic decision-making for consumer packaged goods companies. Her recent publications reveal a consistent focus on advertising effectiveness, brand health, and consumer response across digital and traditional media. She frequently investigates how brands perform when advertising is reduced or paused, the role of attention in video ads, and the validity of persuasion frameworks—demonstrating a strong commitment to evidence-based marketing. Scientific Recognition: Associate Editor, Journal of Advertising Research Prolific contributor to top-tier marketing journals including International Journal of Market Research , European Journal of Marketing , and Australasian Marketing Journal Advising & Grants: While no formal students are listed, Nicole collaborates extensively with global sponsors of the Ehrenberg-Bass Institute, managing brand health trackers and delivering strategic insights. Her work is applied in real-world contexts with major CPG firms, suggesting active engagement in funded research projects and industry partnerships. Labs & Teams: She is a core member of the Ehrenberg-Bass Institute, the world’s largest center for marketing science research, working within a team of over 60 marketing scientists focused on evidence-based brand growth.

Bharath GanapathisubramaniView profile

Professor

• Experimental Fluid Mechanics
• Aerodynamics
• Hydrodynamics
• +5 more

Professor Bharath Ganapathisubramani is a faculty member in the Department of Aeronautics and Astronautics at the University of Southampton. He holds the title of Professor of Experimental Fluid Mechanics and leads research on aerodynamic/hydrodynamic phenomena relevant to transportation, energy, and autonomous systems. His work is supported by funding from EPSRC, EU programs, and industry partners like Rolls-Royce and Huawei. He is affiliated with the National Wind Tunnel Facility and serves as an Associate Editor for Experiments in Fluids and Flow . Education: B.Tech in Naval Architecture (IIT Madras, 1999), M.S. and Ph.D. in Aerospace Engineering (University of Minnesota, 2004), followed by postdoctoral research at the University of Texas at Austin. Administrative Roles: Head of Aero/Astro Department (2019–2022), Deputy Head of School for Research (2018–2019). Research focuses on experimental methods to predict/control fluid flows, including boundary layer manipulation, flow control for aerodynamics/aeroacoustics, and data-driven approaches using machine learning. Current projects explore rough wall turbulence, flapping foil energy harvesting, and advanced diagnostics like FoRMS facilities. Awards include the ERC Starting Grant (2012) and Fellowships from the Royal Aeronautical Society/AIAA. He advises ~6–7 PhD/undergraduate projects annually, emphasizing experimental design (wind/water tunnels) and CFD modeling in aerospace/energy sectors. External engagements include invited speaking roles at conferences like the International Symposium on PIV (2013) and advisory roles in international research boards.

Daryl FougnieView profile

Associate Professor

• Cognitive Psychology
• Visual Perception
• Visual Attention
• +5 more

Daryl Fougnie is an Associate Professor of Psychology and Global Network Associate Professor at New York University Abu Dhabi. He is a core faculty member in the Department of Psychology within the College of Arts and Science, actively conducting research and teaching undergraduate courses in cognitive psychology. His research focuses on the fundamental limits of human cognition, particularly in visual perception, attention, and memory. Through psychophysics and computational modeling, the Fougnie Lab investigates how the brain processes and retains visual information, exploring questions about capacity limits, the nature of mental representations, and the interaction between attention and memory. Key areas include visual working memory, attentional selection, retro-cueing, and memory-guided behavior. The 15 most recent publications reflect a strong thematic focus on the probabilistic and resource-constrained nature of working memory, the strategic control of attention, and the neural and cognitive mechanisms underlying perception and memory. Research often employs innovative paradigms such as betting games and reproduction tasks to probe internal representations and decision-making processes. NYUAD Research Enhancement Fund NYUAD Research Enhancement Fund Daryl Fougnie mentors undergraduate students in the Fougnie Lab and supervises capstone research projects in psychology. His lab is actively funded, as evidenced by repeated Research Enhancement Fund awards, and collaborates widely with researchers such as Kartik Sreenivasan, Clay Curtis, and Edyta Sasin. The lab is currently recruiting postdoctoral researchers, indicating ongoing and expanding research activity. The Fougnie Lab at NYU Abu Dhabi serves as a hub for cognitive science research, integrating experimental psychology with computational approaches. It provides research opportunities for undergraduates and fosters collaboration across disciplines, contributing significantly to the understanding of human cognitive architecture.

Kartik SreenivasanView profile

Associate Professor

• Working Memory
• Short-term Memory
• Cognitive Neuroscience
• +14 more

Kartik Sreenivasan is Associate Professor of Psychology and Associate Program Head for Undergraduate Studies in Psychology at New York University Abu Dhabi (NYUAD), with an affiliation in Biology. He is also a Global Network Associate Professor of Psychology, reflecting his role across NYU’s global campuses. His research is centered on the neurobiological basis of working memory and goal-directed cognition. His educational background includes a BA in Psychology from Yale University and a PhD in Neuroscience from the University of Pennsylvania under Dr. Amishi Jha. He completed postdoctoral training at UC Berkeley with Dr. Mark D’Esposito and joined NYUAD in 2014. Sreenivasan’s research focuses on how the brain maintains and manipulates information in working memory. Key interests include dynamic neural coding, feature binding, effective connectivity, and the transformation of memory into action. His lab employs fMRI, MEG, EEG, TMS, and behavioral paradigms to study both healthy and clinical populations. The most recent publications highlight trends in distributed neural systems, phase-coding mechanisms in working memory, and the role of subcortical structures. His work increasingly emphasizes network-level interactions, oscillatory dynamics, and the flexibility of memory representations under interference and attentional demands. Sreenivasan has received no explicitly mentioned scientific awards in the provided text. He actively mentors PhD students (Ying Zhou, Shanshan Li, Hannah Chu) and supervises undergraduate capstone projects. His lab has been supported by institutional funding, though specific grants are not listed. He teaches core courses such as Biopsychology, Cognitive Neuroscience, and Capstone Research in Psychology and Biology. The Sreenivasan Lab at NYUAD is a vibrant research group focused on understanding the neural underpinnings of cognition. It includes postdocs, research assistants, PhD students, and undergraduates, and has produced numerous publications in high-impact journals. The lab investigates topics such as working memory organization, neural connectivity, and the interplay between perception and memory.

Steven VertovecView profile

Professor

• International Migration
• Transnationalism
• Ethnic Diasporas
• +7 more

Steven Vertovec is Founding Director of the Max Planck Institute for the Study of Religious and Ethnic Diversity in Göttingen, Honorary Joint Professor of Sociology and Ethnology at the University of Göttingen, and Supernumerary Fellow at Linacre College, Oxford. Previously, he was Professor of Transnational Anthropology at the University of Oxford and Founding Director of COMPAS. He remains an active academic leader in migration and diversity studies. Research Interests: His work centers on globalization, transnational social formations, international migration, ethnic diasporas, and urban diversity. He is best known for pioneering the concept of super-diversity , which examines the increasing complexity of migration patterns and urban populations. His research integrates sociological, anthropological, and policy-oriented perspectives. Recent Publications Trends: His most recent articles focus on super-diversity, complexity thinking in migration studies, visualization of urban diversity, public attitudes toward diversity and refugees, and the societal impacts of the pandemic on transnationalism. These works emphasize interdisciplinary and systemic approaches to understanding migration and integration. Scientific Awards: Honorary Doctorate in Social Sciences, Université de Liège (2018) Advising and Grants: While no direct students are listed, Vertovec has led major research projects funded by foundations and public agencies. He has advised the Volkswagen Foundation, UK government departments, the European Commission, UNESCO, the World Bank, and the G8. His leadership in COMPAS and the Max Planck Institute reflects extensive grant management and team supervision. Labs and Teams: He leads the GlobaldiverCities (GloDiv) project and the ProDiv initiative on diversity assent in urban Germany. His teams include researchers from multiple institutions and countries, working on topics such as asylum seekers’ needs, intergroup contact, and urban integration. The Max Planck Institute serves as a hub for interdisciplinary migration research in Europe.

Ivan DuricView profile

Research Fellow

• Digitalization in agriculture
• Artificial intelligence and machine learning in agri-food systems
• Blockchain applications in agriculture and food industry
• +4 more

Dr. Ivan Duric is a Research Fellow at the Department of Agricultural Markets, Agricultural Marketing and World Agricultural Trade, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), Halle (Saale), Germany. Since October 2008 he has led and contributed to numerous international research projects focusing on digital transformation, trade policy, and value-chain analysis in agriculture and food systems. Education: Doctorate (Dr.) “summa cum laude” in Agricultural Economics, Faculty of Agriculture, Martin Luther University Halle-Wittenberg. Research Interests: Dr. Duric’s core expertise lies at the intersection of digital technologies and agri-food economics . His work explores how machine learning, blockchain, and immersive analytics reshape agricultural value chains, enhance transparency, and improve competitiveness. He continually investigates price transmission mechanisms , the impact of trade policy shocks (e.g., export bans, import restrictions), and pathways to strengthen food security in transition and emerging economies. Across more than forty peer-reviewed articles and policy briefs, a clear trend emerges: rigorous empirical assessment of how policy interventions and digital innovations jointly determine market outcomes—from wheat-to-bread chains in Serbia to salmon value networks spanning Norway, France and Poland. Awards & Recognition: Doctoral degree awarded “summa cum laude” (highest distinction), Martin Luther University Halle-Wittenberg. Grants & Collaborative Projects: Dr. Duric has co-ordinated or served as senior researcher in major EU and German-funded initiatives including AGRICISTRADE, AgriDigital, AGRIIMMERSE, VALUMICS, SecureFood, GERUKA, eTrust-Food, DITAC, GTRS, STARLAP, TAAST, UaFoodTrade , and the IAMO XR Lab . These projects investigate global grain trade, digital platform adoption, consumer trust, resilience of food systems, and immersive data analytics. Labs & Teams: He is a founding member and scientific lead of the IAMO XR Lab , where virtual-reality and immersive analytics are leveraged to visualize and interpret complex agricultural market data, creating new avenues for stakeholder engagement and policy dialogue.

Marcus BellamyView profile

Associate Professor

• Supply Chain Management
• Sustainable Operations
• Innovation
• +6 more

Marcus Bellamy is an Associate Professor of Operations and Technology Management at the Questrom School of Business, Boston University . His research focuses on innovation , environmental sustainability , and performance dynamics in supply networks, using empirical models to analyze spatial resource proximity and interdependence. Education : PhD in Operations & Technology Management from Georgia Tech (2015), MS in Industrial Engineering (2010), BS in Aerospace Engineering from University of New Mexico (2006). His research bridges supply chain structure with outcomes like CSR practices , resilience , and economic welfare . He employs visual analytics and computational tools to study industries ranging from automotive to electronics , addressing policy impacts and platform economies like Uber . Recent work trends include analyzing two-sided sharing platforms , environmental disclosure in supply chains, and network resilience under risks. His empirical studies often integrate spatial spillovers and collaborative ecosystems . Scientific Awards : Isabel Anderson Career Development Professorship 2019 AOM Best Paper in Supply Chains 2013 AOM Operations Management Division Best Student Paper Fulbright Scholar (Madrid, Spain) NSF STEP Fellow Bellamy has served as a founder of the PhD Project Committee under the White House Initiative on Hispanic Education and collaborated with corporations like Lockheed Martin and General Motors on supply chain risk & resilience. His methodological contributions include interactive visual analytics systems for network evaluation.

Kristen BakerView profile

Research Fellow

• Face Identification
• Face Recognition
• Decision Making
• +3 more

Kristen Baker is a Newton International Fellow (awarded by the Royal Society) at the University of Kent's School of Psychology, conducting research under Dr. Markus Bindemann on decision-making in face identification with implications for eyewitness testimony and border security. She earned her PhD from Brock University, where her dissertation examined individual differences in face identification and learning, supported by Natural Sciences and Engineering Research Council of Canada and Ontario Graduate Scholarship funding. Her research integrates cognitive and developmental perspectives to investigate face recognition mechanisms, focusing on individual variability, familiarity processes, and forensic applications. She employs experimental methods comparing adult and child participants across controlled identification tasks. Recent publications in Cognition and Perception reveal consistent exploration of stable individual differences in face identification, expertise effects (e.g., photographers), aging impacts on familiar face recognition, and within-person variability in identity perception. Her scientific recognition includes: Newton International Fellowship (Royal Society) Natural Sciences and Engineering Research Council of Canada PhD Fellowship Ontario Graduate Scholarship Supported by prestigious fellowships throughout her career, she currently contributes to Dr. Bindemann's research group without documented student supervision or independent grant leadership. She operates within the University of Kent's visual cognition research team, focusing on empirical face processing studies with real-world forensic relevance.

Eugene KennedyView profile

Professor

• Educational Research Methodology
• Psychometrics
• School Effectiveness
• +3 more

Eugene Kennedy is a Professor in the Department of Educational Research at Louisiana State University's College of Human Sciences & Education. Holding a PhD in Educational Research Methodology from the University of South Carolina (1990), Kennedy's career spans academic research, state education departments, and technical consulting roles. His work focuses on educational effectiveness, psychometrics, and technology integration in education. Bachelor's: Sociology, Benedict College (1977) Master's: Educational Statistics & Measurement, University of Iowa (1982) PhD: Educational Research, University of South Carolina (1990) Kennedy's research interests include educational research methodology , psychometrics , school effectiveness , STEM education , data-driven decision making , and learning analytics . His recent publications demonstrate increasing focus on AI's role in education and data-driven strategies for improving educational outcomes. His academic work shows trends in educational technology integration , quantitative research methods , and STEM equity initiatives . Key themes include using data mining for educational insights, technology tools for school leadership, and innovative teaching strategies to improve student outcomes. Kennedy has participated in grants including: Co-PI for Evaluation proposal for the EBRPS American Recovery and Reinvestment Act Program (2010-2011) PI for Longitudinal Study with University of Louisiana Lafayette (2008-2009) Contact: ekennedy@lsu.edu | 221 Peabody Hall | 225-578-2193