Andreas Bulling is a Professor at the Institute for Visualisation and Interactive Systems , University of Stuttgart, Germany. His research focuses on Human-Computer Interaction , Eye Tracking , and Computer Vision , with applications in Machine Learning , Virtual Reality , and Information Visualization . 2025 Publications: HOIGaze (Extended Reality), ChartQC (Data Visualization), HAIFAI (Human-AI Interaction), SummAct (Behavioral Summarization), Chartist (Chart Reading). 2024 Contributions: HumanEYEze (Multimodal AI), HOIMotion (3D Object Detection), MultiMediate'24 (Engagement Estimation), Unified Model of Saliency (Scanpath Prediction). His recent work explores gaze estimation , interactive behavior modeling , and privacy-preserving eye-tracking systems . Key subfields include Extended Reality , Neural Networks , and Behavioral Biometrics . While no explicit scientific awards are mentioned, his research has been widely cited (8,003 total citations) and downloaded (132,740 times). Andreas leads projects in Interactive Systems and collaborates with institutions such as Aalto University , KU Leuven , and National University of Singapore . His lab focuses on eye movement analysis , human motion forecasting , and task-driven input modeling .
Jonathan Winawer is an Associate Professor of Psychology and Neural Science at New York University (NYU). He leads the Winawer Laboratory for Human Visual Perception and Neuroscience, which is affiliated with the NYU Psychology Department, NYU Center for Neural Science, NYU Neuroscience Institute, and collaborates with the NYU Comprehensive Epilepsy Center and Stanford University's Human Intracranial Cognitive Program. Ph.D., Massachusetts Institute of Technology (2007) M.S., City College of the City University of New York (2005) A.B., Columbia University (1995) His research focuses on the biological basis of visual perception, including computational models of the visual pathways using fMRI, EEG, ECoG, and psychophysics. Key areas include: Encoding of visual stimuli in neural pathways Perceptual memory's influence on cognition Neural circuit properties underlying imaging signals Individual differences in visual perception Publications highlight interdisciplinary approaches spanning computational neuroscience, neuroimaging, and psychophysics, with recent work on population receptive fields, spatial frequency tuning, and memory-related cortical dynamics. He has mentored numerous students and postdocs, many of whom have advanced to academic and research roles at institutions like Stanford, Columbia, and the University of Amsterdam. Department of Psychology, NYU Center for Neural Science, NYU Neuroscience Institute, NYU Comprehensive Epilepsy Center, NYU Stanford University collaborations
Anocha Aribarg is a Professor of Marketing and Area Chair of Marketing at the Ross School of Business, University of Michigan, with additional faculty affiliation at the Center for Southeast Asian Studies (CSEAS). Her interdisciplinary research bridges psychological theory, consumer behavior, and advanced statistical modeling to address complex marketing challenges. Education: PhD in Marketing, University of Wisconsin, 2004 MBA, University of Wisconsin-Milwaukee, 1998 BS in Statistics, Chulalongkorn University, Thailand, 1994 Research Focus: Prof. Aribarg investigates cognitive processes in consumer decision-making, specializing in individual/joint choice dynamics, product search behaviors, and responses to marketing stimuli. Her methodology integrates Bayesian econometrics with physiological measures (eye tracking, skin conductance) and multi-method experimental designs to uncover hidden decision mechanisms. Publication Trends: Her 14 recent publications (2009-2024) reveal consistent innovation in choice modeling, with increasing emphasis on attention dynamics (2020), moral psychology in aesthetics (2022), and high-frequency service data integration (2023). Work appears predominantly in Marketing Science Journal of Marketing Research, and Psychological Science, demonstrating methodological rigor across consumer behavior, advertising, and service contexts. Academic Service: She serves as Associate Editor for Marketing Science, Journal of Marketing, and Journal of Marketing Research, while contributing to the Journal of Retailing editorial board. Teaching: Prof. Aribarg delivers graduate-level courses in Marketing Research and Analytics and Predictive Analytics at Ross, emphasizing data-driven decision frameworks.
Alison J. Mackey is Professor and Chair of the Department of Linguistics at Georgetown University, College of Arts and Sciences. She is a leading scholar in second language acquisition (SLA), with a focus on interaction, feedback, research methodology, and language learning across the lifespan. Her research interests include second language acquisition , task-based language teaching , research methodology , interaction and corrective feedback , and language learning in children and adults . She has published extensively in top-tier journals and book series, shaping methodological standards in the field. Her recent publications reflect a strong trend in methodological rigor , interactionist approaches , and practical applications of SLA research. Themes include data elicitation , stimulated recall , task design , and pragmatic development , spanning both theoretical and classroom-based inquiry. Mildenberg Prize (2012) for The Handbook of Second Language Acquisition American Association for Applied Linguistics Distinguished Scholarship and Service Award International Association of Task-based Language Learning and Teaching Distinguished Achievement Award CHOICE Outstanding Academic Title (2012) Alison Mackey has advised numerous scholars through co-authorship and editorial leadership. She is Editor-in-Chief of Cambridge University Press Annual Review of Applied Linguistics and Editor of the Routledge Second Language Research series, guiding the publication of cutting-edge research. While specific grants are not listed, her editorial work and high citation count (>35,000) reflect significant research impact and funding support. She leads and contributes to major research initiatives such as the IRIS Repository , promoting open-access research instruments in SLA. Her work fosters collaboration across institutions and supports methodological transparency and replication in the field.
Xiaoming Hu is a Professor at the Division of Numerical Analysis, Optimization and Systems Theory within the Department of Mathematics at KTH Royal Institute of Technology (Kungliga Tekniska Högskolan) in Stockholm, Sweden. Born in Chengdu, China, he received his B.S. degree from University of Science and Technology of China in 1983, followed by M.S. and Ph.D. degrees from Arizona State University in 1986 and 1989 respectively. After serving as a research assistant at the Institute of Automation, Chinese Academy of Sciences (1983-1984), he was a Gustafsson Postdoctoral Fellow at KTH (1989-1990) before becoming a faculty member. His educational background includes: B.S. in Engineering, University of Science and Technology of China, 1983 M.S. in Engineering, Arizona State University, 1986 Ph.D. in Engineering, Arizona State University, 1989 Xiaoming Hu's research primarily focuses on multi-agent systems, nonlinear feedback stabilization, nonlinear observer design, and sensing and active perception. His work bridges theoretical control theory with practical applications in robotics and autonomous systems. He has made significant contributions to geometric control theory, mathematical systems theory, and nonlinear systems analysis and control. His research often involves developing theoretical frameworks for distributed control, formation control, and cooperative behavior in multi-robot systems. Professor Hu's publication record shows a consistent research trajectory with numerous high-impact publications in top-tier journals like Automatica, IEEE Transactions on Automatic Control, and Systems & Control Letters. His research has evolved from fundamental control theory to more applied problems in robotics and multi-agent systems, while maintaining strong mathematical foundations. Recent work shows increasing focus on safety-critical control, inverse problems in estimation, and networked systems. His scientific contributions include: Development of theoretical frameworks for multi-agent coordination and formation control Advances in nonlinear observer design for robotic systems Contributions to geometric control theory and systems theory Research on distributed estimation and control algorithms Applications of control theory to robotics and autonomous systems Professor Hu teaches several advanced courses including Mathematical Systems Theory, Geometric Control Theory, and Nonlinear Systems: Analysis and Control. He has supervised numerous degree projects at both undergraduate and graduate levels in mathematics, optimization, systems theory, and scientific computing. His teaching reflects his research expertise, providing students with both theoretical foundations and practical applications of control theory.
Dr. Shanna Williams is an Assistant Professor in the Department of Educational and Counselling Psychology at McGill University's Faculty of Education. She holds clinical licensure in Quebec and Ontario, with expertise in forensic child psychology and maltreatment-related research. Her work focuses on child lie-telling, commercial sexual exploitation, moral development, and eyewitness testimony. Prior roles include a postdoctoral fellowship at the University of Southern California’s Gould School of Law and forensic law enforcement collaboration in Los Angeles. Education: Ph.D., McGill University: School/Applied Child Psychology M.A., McGill University: Educational Psychology B.A., McGill University: Psychology Postdoctoral Visiting Fellow, University of Southern California Research Interests: Lie-Telling Dynamics: Investigating how cognitive and social factors influence children's deception across contexts. Child Maltreatment: Developing trauma-informed forensic interview protocols and assessing maltreatment impacts on memory and disclosure. Legal Systems: Enhancing child-witness support through improved questioning techniques and cross-cultural legal practices. Publications Trends: Her recent work emphasizes pandemic-era challenges in child protection, digital exploitation, and legal system adaptations. Over 20 peer-reviewed articles address topics like forensic interviewing methods, maltreatment detection, and interdisciplinary collaboration. Awards: SSHRC Postdoctoral Fellowship (2016-2017) SSHRC Joseph-Armand Bombardier CGS Doctoral Fellowship (2010-2013) Advising & Grants: Supervises graduate students in child psychology and maltreatment studies. Research funded by SSHRC, NSF, and NIH grants focusing on forensic child development. Labs/Teams: Child Interviewing & Witness Lab Canadian Child Interviewing Research Team
Barbara Gail Montero is the Rev. John A. O’Brien Professor of Philosophy at the University of Notre Dame, where she holds a faculty position in the Department of Philosophy within the College of Arts and Letters. She earned her BA from the University of California, Berkeley, and her PhD from the University of Chicago. Her research focuses on two core areas: the metaphysical relationship between mind and body, and the role of consciousness in expert action. Notably, she explores how physicalism interacts with abstract entities and how athletes defy skill plateaus through orthogonal models of attention and automaticity. Her key publications include Continuous Improvement: Intertwining Mind and Body in Athletic Expertise (2022, co-authored), A Very Short Introduction: Philosophy of Mind (2021), and Thought in Action: Expertise and the Conscious Mind (2016). She has also published influential papers on pain memory gaps, expertise-induced amnesia, and critiques of flow-state theories. Montero’s interdisciplinary work bridges philosophy with dance performance, as seen in collaborations like Curved Spacetimes: Where Friedrich Nietzsche Meets Virginia Woolf . Her teaching spans philosophy of mind, logic, and science, emphasizing neural plasticity and conscious engagement in expertise.
Christoph Stadtfeld is Associate Professor of Social Networks at ETH Zurich's Department of Humanities, Social and Political Sciences and co-director of the ETH Social Networks Lab. His research examines social network dynamics, focusing on tie formation processes, network effects on individuals, and advanced statistical methodologies for longitudinal network analysis. Education: PhD from Karlsruhe Institute of Technology (2011) Postdoctoral researcher and Marie-Curie fellow at University of Groningen, University of Lugano, and MIT Media Lab (2011-2014) His work bridges sociology, statistics, and computer science to address fundamental questions about how social structures evolve and influence behavior. Key interests include relational event modeling, co-evolution of networks and attributes, and applications in mental health, political polarization, and scientific collaboration. He develops innovative methods for analyzing dynamic networks using cutting-edge computational approaches. Recent publications reveal strong emphasis on methodological rigor in temporal network analysis, with significant contributions to relational event modeling and dynamic network actor frameworks. His work increasingly addresses societal challenges including political polarization, mental health impacts of social isolation, and innovation dynamics in healthcare. Scientific awards: Raymond Boudon Award of the European Academy of Sociology (2017) Freeman Award of the International Network for Social Network Analysis (2021) As co-director of the ETH Social Networks Lab, Stadtfeld leads interdisciplinary research teams developing novel network methodologies. His work has been supported by prestigious fellowships including Marie-Curie funding, and he actively mentors graduate students in network science methodology and applications across diverse domains. The ETH Social Networks Lab serves as a hub for advancing network theory and methodology, with ongoing projects examining student networks during crises, scientific collaboration dynamics, and innovation ecosystems through the lens of network science.
Denise Head is Professor of Psychological & Brain Sciences and Associate Chair at Washington University in St. Louis, with an additional appointment as Associate Professor in Radiology. Her research integrates cognitive neuroscience and neuroimaging to study cognitive aging and Alzheimer's disease. PhD, University of Memphis MS, University of Memphis BS, University of New Orleans Her research focuses on age-related cognitive changes and their neural underpinnings. Key areas include spatial navigation deficits in aging, the role of lifestyle factors (exercise, sleep, stress) in brain aging, and interventions to support cognitive function in older adults. She uses virtual reality, mobile eye-tracking, and neuroimaging techniques such as fMRI and DTI. The recent publications highlight a consistent trajectory in cognitive neuroscience and aging research, with emphasis on neuroimaging biomarkers, structural brain changes, and cognitive performance in normal and pathological aging. Her work bridges psychology, neurology, and radiology, contributing to early detection and understanding of Alzheimer's disease. Scientific Awards: No awards listed in the provided text. Dr. Head advises graduate students and leads a research lab focused on cognitive aging, though specific student names are not listed. Her lab investigates mediators of brain aging and develops methods to support spatial navigation in older adults. While specific grants are not mentioned, her ongoing research and recent publications suggest active external funding. She leads a research team in the Department of Psychological & Brain Sciences, utilizing advanced neuroimaging and behavioral methods to study aging and dementia. The lab integrates real-world and virtual experimental designs to understand spatial cognition and brain health in older populations.
Elizabeth Phelps is the Pershing Square Professor of Human Neuroscience in the Department of Psychology at Harvard University's Faculty of Arts and Sciences. She directs the Phelps Lab, which investigates how emotions influence learning, memory, and decision-making using multidisciplinary approaches including behavioral studies, neuroimaging (fMRI), physiological measurements, and computational modeling. The lab collaborates widely across psychology, neuroscience, economics, and clinical disciplines. Her research examines: Human neuroscience of affect and cognition interactions Emotional modulation of learning and memory systems Neural mechanisms of decision-making under uncertainty Impact of emotion on social cognition and behavior Translational applications for psychological disorders Contact information: Email: phelps@fas.harvard.edu Lab email: phelpslab@fas.harvard.edu Address: Northwest Lab Building, 52 Oxford Street, Cambridge, MA 02138 The lab welcomes study participants and research assistant applicants, emphasizing diversity and inclusion in research.
Dr. Harry O. Maier is Professor of New Testament and Early Christian Studies at Vancouver School of Theology since 1994, with ongoing fellowships at the Max Weber Center for Advanced Cultural and Social Studies at the University of Erfurt since 2017. His academic career spans over 25 years with significant contributions to understanding early Christianity within the context of the Roman Empire. His educational background includes a D. Phil from Oxford University (1987), Master of Divinity from Lutheran Theological Seminary (1989), and B.A. from Pacific Lutheran University (1981). Maier's research focuses on the intersection of New Testament studies, early Christianity, and spatial theory within the Roman Empire. His work examines how early Christian communities navigated urban spaces, constructed religious identity, and engaged with imperial ideologies. He has pioneered approaches that analyze biblical texts through spatial theory, examining how geography, urban structures, and neighborhood dynamics shaped early Christian thought and practice. His research particularly emphasizes the Book of Revelation, the Shepherd of Hermas, and Pauline literature, with attention to how these texts engaged with Roman imperial culture. His scholarly contributions include significant publications such as New Testament Christianity in the Roman World (Oxford University Press, 2018) and Picturing Paul in Empire (Bloomsbury, 2013), which won recognition for their innovative approaches to understanding early Christian texts within their socio-spatial contexts. Canadian Christian Writers Association Award for Best Book in Philosophy and Christian Leadership (2003) for Apocalypse Recalled: The Book of Revelation after Christendom Canadian Corportation of Religion Award for Best Dissertation in Religion (1990) for The Social Setting of the Ministry as Reflected in the Writings of the Shepherd of Hermas, Clement and Ignatius Maier has organized numerous academic conferences including "The Shepherd of Hermas and Religious Experience" (2018), "Religion of Quarters" (2018), and "Locating Martyrs and Space/Time" (2017). He serves on editorial boards for several prestigious publications including as associate editor for the Bryn Mawr Classical Review since 2016 and co-editor of the Christian Religion and Public Life book series since 2020. His external reviewing work includes major academic presses such as Oxford University Press and Cambridge University Press. As founder and co-organizer of The Greater Vancouver Biblical Colloquium since 2008, Maier has fostered interdisciplinary dialogue among scholars of biblical studies and related fields. His academic leadership extends to professional societies including the Society of Biblical Literature and the North American Patristics Society.
Marcelo Mattar is an Assistant Professor of Psychology and Neural Science at New York University, leading the Mattar Lab. His research focuses on the neural computations underlying memory, decision-making, and reinforcement learning. He holds a Ph.D. in Psychology from the University of Pennsylvania and has held academic positions at NYU, UC San Diego, and postdoctoral roles at Princeton University and the University of Cambridge. His work bridges computational neuroscience and artificial intelligence, aiming to model how the brain uses internal models for planning and decision-making. Education: Ph.D. in Psychology (Computational and Cognitive Neuroscience), University of Pennsylvania, 2016 M.A. in Statistics, University of Pennsylvania, 2016 B.A. in Electronics Engineering, Instituto Tecnologico de Aeronautica, Brazil, 2010 Research Interests: The lab develops mathematical models of learning and decision-making, leveraging reinforcement learning, Bayesian statistics, and neural networks. Experiments involve human behavioral studies and neuroimaging, with collaborations in animal electrophysiology and computational psychiatry. Key Contributions: His work explores how episodic memory and hippocampal replay support flexible decision-making. Recent studies highlight parallels between human cognition and AI systems, such as language models' metacognitive abilities and brain-inspired algorithms. Awards: Newton International Fellowship, Royal Society (2018–2019) Lab Team: The lab includes postdocs, PhD students, and undergraduates from diverse fields like cognitive science, neuroscience, and computer science. Current members are listed on the lab's website. Lab Location: Meyer Hall, 6 Washington Place, New York, NY 10003.
Maurice Smith serves as the Gordon McKay Professor of Bioengineering at Harvard University's School of Engineering and Applied Sciences (SEAS), where he leads the Neuromotor Control Lab. His primary appointment resides within the Department of Bioengineering, focusing on the computational and neural mechanisms underlying human movement control. Smith's research centers on sensorimotor learning , motor adaptation , and neuromotor control systems . He investigates how the brain forms and retains motor memories, particularly examining cerebellar contributions to long-term sensorimotor memory and the dissociation between implicit and explicit learning pathways. His work frequently employs computational modeling to dissect neural tuning properties and motor variability regulation. Analysis of his recent publications reveals a strong emphasis on temporal dynamics in motor learning , cerebellar function in memory consolidation , and Bayesian frameworks for understanding sensorimotor adaptation . His research demonstrates consistent focus on how error processing, uncertainty, and neural plasticity shape motor memory formation across multiple timescales. Smith maintains active collaborations with researchers including Wilsaan M. Joiner, Yohsuke R. Miyamoto, and Nathan Sandholtz, as evidenced by frequent co-authorship patterns. His laboratory investigates fundamental questions in motor control with implications for neurorehabilitation and adaptive robotics.
Professor Gail S. Goodman, a Distinguished Professor of Psychology at the University of California, Davis, is a pioneering scholar in developmental psychology and psychology-law intersections. She directs the Center for Public Policy Research and has established foundational research in children's eyewitness memory and child victims' experiences in legal contexts. Ph.D., M.A., B.A. in Psychology from the University of California, Los Angeles Her research focuses on memory development and children's roles as witnesses, examining trauma-memory relationships, attachment influences, emotional regulation, and forensic interview techniques. Her work has informed legal policies and been cited in U.S. Supreme Court decisions. Key trends in her recent publications include trauma's impact on memory accuracy, false memory balancing, and courtroom dynamics for child witnesses. Her studies span developmental psychology, forensic science, and trauma recovery. 2017 APSAC Handbook chapter on child interview techniques 2017 American Psychologist review on trauma memory and counseling 2016 chapters on memory development and trauma psychopathology Professor Goodman has received numerous accolades, including APA's Urie Bronfenbrenner Award, APS's James McKeen Cattell Award, and an Honorary Doctorate from the University of Oslo. She has also earned teaching and mentoring awards at UC Davis. As Director of UC Davis's Center for Public Policy Research, she consults with global agencies on child maltreatment policies and leads interdisciplinary teams studying memory, trauma, and legal systems. Her work bridges academic research with practical applications in law and child welfare.
Bradley Buchsbaum is an Associate Professor and Senior Scientist at the Rotman Research Institute, Baycrest , Toronto, Canada. His research focuses on cognitive neuroscience, particularly on working memory, episodic memory, and functional neuroimaging using fMRI. PhD in Cognitive Science (2003) from University of California, Irvine BSc in Bio-Psychology (1997) from University of California, Santa Barbara His lab investigates how memories are stored, represented, and reactivated in the brain, combining functional neuroimaging, eye-tracking, and computational modeling. Key areas include multivariate statistics, machine learning applications in neuroimaging, and quantifying memory fidelity through behavioral and neural data. Recent publications emphasize neuroimaging methodology (e.g., MRI data consistency checks), memory pattern completion mechanisms, and feature-specific neural reactivation during episodic recall. Research trends highlight interdisciplinary approaches merging cognitive neuroscience with advanced statistical techniques. Lab team includes post-doctoral fellows (Stephen Rhodes), graduate students (Carolyn Guay, Corey Loo, Michael Bone, Nick Hoang, Ryan Barker), and research assistants. The lab actively develops open-source tools like rMVPA and neuroim2 for fMRI analysis.
