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Katherine IsbisterView profile

Professor

• Human-Computer Interaction
• Digital Games
• Emotion in Design
• +12 more

Katherine Isbister is a full professor in the Department of Computational Media at the University of California, Santa Cruz, where she directs the Center for Computational Experience. She was previously an associate professor jointly appointed between the Computer Science department at New York University’s Tandon School of Engineering and the NYU Game Center, and served as the founding Research Director of the Game Innovation Lab at NYU. Her research lies at the intersection of Human-Computer Interaction and digital games, focusing on emotion, social connection, and playful experiences. Key research themes include emotion in games , social play , fidget technologies , social VR , and digital characters . Her work combines technical prototyping, design research, and empirical evaluation to understand how interactive systems can support emotional and social experiences. Her publications span top venues such as CHI, DIS, and IEEE Transactions on Affective Computing. Trends in her recent work show a strong emphasis on embodied interaction, affective design, and socio-technical systems for emotional regulation and social connection. She explores how movement, touch, and presence in virtual spaces can enhance human experience. MIT Technology Review TR100 Young Innovator (1999) Best Paper Award, ACM CSCW (2018) New Voices New Visions Award (for SimWorks art series) She has advised numerous students and led research projects involving social wearables, movement-based games, and mental health interventions. Her lab has received recognition from media outlets including NPR, Scientific American, and The Guardian. She has also collaborated with industry partners such as Microsoft, Electronic Arts, and Ubisoft. She leads the Center for Computational Experience at UCSC and has previously directed the Game Innovation Lab at NYU. Her team has produced over 100 peer-reviewed publications and several exhibition-ready games and art installations.

Jiaqi GongView profile

Associate Professor

• Artificial Intelligence
• Smart and Connected Health
• Cyber-Physical Systems
• +13 more

Dr. Jiaqi Gong serves as Associate Professor in Computer Science and Adjunct Associate Professor in Mechanical Engineering at The University of Alabama's College of Engineering, while directing the Alabama Center for the Advancement of Artificial Intelligence. His academic foundation includes: B.S. in Engineering, China University of Geoscience (2004) Ph.D. in Engineering, Huazhong University of Science and Technology (2010) Dr. Gong's research pioneers human-AI convergence through cyber-physical systems and smart health technologies, developing mobile/wearable platforms to enhance human perceptual, cognitive, and physical capabilities. His work spans artificial intelligence, machine learning, computer vision, and IoT with applications in healthcare, environmental monitoring, and education. The Sensor-Accelerated Intelligent Learning (SAIL) laboratory he founded drives innovation in behavior change interventions, human movement modeling, and educational data mining. Recent publications reveal strong interdisciplinary trends: healthcare AI dominates with medication adherence prediction and surgical classification systems, while environmental applications feature flood-risk communication and drought analysis. His work increasingly integrates generative AI and LLMs across domains, demonstrating methodological innovation in federated learning, knowledge graphs, and explainable storytelling frameworks. Notable recognitions include: Best Student Paper Award, IEEE/ACM Connected Health Conference (2022) Best Student Paper Award, Body Sensor Networks Conference (2019) Data Challenge Win, IEEE Biomedical Health Informatics (2018) Best Paper Award, Body Area Networks Conference (2014) Best Demonstration Award, IEEE Wireless Health Conference (2014) Dr. Gong leads significant funded projects including a $2M CDC/NIOSH grant for first responder safety and $3M NSF funding for hydrologic research. As SAIL laboratory director, he mentors students in developing clinically deployed technologies for multiple sclerosis, dementia, and mental health. Future work focuses on scaling AI applications in chronic disease management and climate resilience through the Alabama AI Center. The SAIL laboratory (founded 2017) operates as a multidisciplinary hub developing wearable/mobile systems for health applications, with active collaborations across medical clinics and engineering departments for real-world deployment of behavior change interventions and movement analysis tools.

• Transportation Engineering
• Road Safety
• Remote Sensing
• +5 more

Dr. Karim El-Basyouny is a Killam Laureate Professor and City of Edmonton Urban Traffic Safety Research Chair at the University of Alberta's Faculty of Engineering, where he serves as Associate Dean (Research Infrastructure and Innovation) in the Civil and Environmental Engineering Department. A licensed Professional Engineer in Alberta, he holds advanced degrees in Transportation Engineering from the University of British Columbia and has dedicated his career to advancing road safety through data-driven management frameworks. His academic credentials include: Doctor of Philosophy, Civil Engineering, University of British Columbia, 2011 Engineering Management Sub-specialization, Civil Engineering, University of British Columbia, 2010 Master of Applied Science, Civil Engineering, University of British Columbia, 2006 Bachelor's degree (ABET Equivalent), Civil & Environmental Engineering, United Arab Emirates University, 2003 El-Basyouny's research pioneers the integration of remote sensing, machine learning, and statistical modeling to enhance transportation safety. His work develops automated tools for infrastructure digitization, collision prediction, and speed management, treating safety as a systemic product requiring management frameworks. Key contributions include LiDAR-based road feature extraction, network-level safety evaluations, and frameworks for vision-zero outcomes that address both human-driven and autonomous vehicle contexts. His recent publications demonstrate a cohesive research trajectory centered on leveraging point cloud data and computational intelligence for safety management. Over 15 major publications since 2021 focus on automated infrastructure assessment (light pole detection, clear zone mapping, vertical clearance evaluation), weather-impact modeling, and enforcement resource optimization. This body of work bridges transportation engineering with computer vision and operations research to create scalable safety solutions. His scientific contributions have been recognized with prestigious honors including: 2024 Killam Annual Professorship Award 2024 Road Safety Achievement Award from TAC 2023 Donald Stanley Award for environmental engineering 2022 Faculty of Engineering Graduate Teaching Award 2021 Daniel B. Fambro Student Paper Award As an academic leader, El-Basyouny actively mentors graduate students and secures significant research funding through his endowed chair position. He currently recruits fully-funded PhD and postdoctoral candidates specializing in remote sensing applications, machine learning, and geomatics for road digitization projects. His research group collaborates with national safety committees and municipal agencies to translate findings into policy, while he serves on editorial boards for Transportation Research Record and Analytic Methods in Accident Research. The research group operates at the intersection of transportation engineering and computational science, developing automated frameworks that merge sensor technologies with data processing tools. Current projects focus on semantic segmentation of 3D point clouds, safety implications of infrastructure digitization, and machine learning applications for road feature extraction in both urban and rural environments.

Duncan AstleView profile

Professor

• Developmental cognitive neuroscience
• Brain connectivity and network organization
• Neurodevelopmental disorders
• +5 more

Duncan Astle is the Gnodde Goldman Sachs Professor of Neuroinformatics at the Department of Psychiatry, University of Cambridge. He serves as a Programme Leader at the Medical Research Council's Cognition and Brain Sciences Unit (MRC CBU) and is a Fellow of Robinson College. Astle heads the 4D Lab (Development, Dynamics, Disorders, Data Science), which provides a research home for approximately 15 Early Career Researchers working at the intersection of developmental cognitive neuroscience and advanced data science methodologies. Astle's research focuses on understanding childhood development through innovative analytical approaches. His work employs transdiagnostic methods to study children with attention, learning, and memory difficulties, moving beyond traditional diagnostic categories. He investigates how neural systems develop in childhood, how they relate to developmental disorders, and how they respond to intervention. His research integrates network science, machine learning, and generative modeling to capture the complexity of neurodevelopmental diversity, examining how cognitive skills, literacy, numeracy, and mental health interrelate over developmental time. His publication record reveals a strong focus on brain connectivity and organization across development. Recent work explores structural and functional neurodevelopmental trajectories, brain wiring economics, and the impact of environmental factors on neural development. Astle's research frequently employs advanced data science techniques to identify sub-populations of children with different cognitive or brain profiles, regardless of diagnosis, and to map non-linear relationships between brain organization and cognitive difficulties. His work has increasingly focused on transdiagnostic approaches to understanding developmental disorders and the application of computational models to developmental neuroscience. Astle actively supervises PhD students and has built a substantial research group that contributes to major projects including the Centre for Attention Learning and Memory (CALM) and Resilience in Education and Development (RED). His work has been supported by prestigious funding bodies including the Royal Society, the British Academy, the Medical Research Council, and the Economic and Social Research Council, as well as multiple charitable foundations. The 4D Lab, under Astle's leadership, utilizes state-of-the-art facilities at the University of Cambridge, including on-site magnetic resonance imaging and magnetoencephalography scanners. The lab contributes to building specialist cohorts such as CALM (800 children with cognitive difficulties plus 200 comparison children) and RED, which study children's development, resilience, and educational outcomes. Astle's team explores how growing up in adverse environments affects children's brains, behavior, and mental health, with the aim of identifying early markers of risk and resilience.

Emma RichView profile

Professor

• Sociology
• Education
• Sport
• +14 more

Professor Emma Rich is affiliated with the University of Bath as a Professor of Physical Activity and Health Pedagogy and Director of the SPHERE Research Centre (Centre for Sport, Physical Activity and Health Equality). Her work bridges sociology and education , focusing on intersections between digital health technologies , body politics , and health inequities in educational and sport contexts. University: University of Bath Role: Professor & Research Centre Director Research Interests : Emma’s expertise spans critical pedagogy , digital health studies , obesity policy critique , and gendered body narratives . She pioneers feminist new materialist approaches to analyze how digital platforms shape health identities and practices among youth. Recent Publications examine digital health’s impact on body dissatisfaction , teacher mind maps , and spatial dynamics in digitized health education. These works emphasize datafication and quantified self trends in adolescent health behaviors. Awards & Recognition : Elected Fellow of the Academy of Social Sciences (2022) Nominated for FSHI Book Prize (2024) Bristol Bath Healthcare Research Impact Award (2019) Leadership & Collaborations : She leads international projects like the Wellcome Trust-funded Digital Health Generation and DigiHealthPE (UNA Europa), collaborating with institutions across the UK, Australia, and New Zealand. Her work integrates UN Sustainable Development Goals , particularly those addressing health equity and digital inclusion .

Karen CochraneView profile

Assistant Professor

• Human-Computer Interaction (HCI)
• Mental Health Technologies
• Accessibility
• +6 more

Dr. Karen Cochrane is an Assistant Professor at the University of Waterloo, specializing in Human-Computer Interaction (HCI) with a focus on wearable and tangible computing for mental health and accessibility. Her research integrates soma design, autoethnography, and design fiction to address the needs of underrepresented communities, particularly those with disabilities. Key projects include developing assistive technologies for queer/crip identities, accessible gaming wearables, and tactile interfaces for sensory exploration. She explores embodied experiences through multidisciplinary approaches, blending traditional craft practices with modern computational tools. Her work prioritizes participatory design methodologies, collaborating with occupational therapists, disabled communities, and neurodivergent individuals to co-create inclusive technologies. Recent innovations include VARitouch (a haptic feedback device), Breathing Scarf (for emotional regulation), and adaptive switches for children with motor disabilities. Her research extends into sensory narratives, exploring how fabric and data can articulate bodily experiences through projects like Sensory Data Dialogues and Queer/Crip Body Mapping. While no formal grants or awards are listed, her publications reflect a strong focus on ethical technology, accessibility, and embodied interaction. Current projects emphasize the intersection of wearable tech with identity expression, mindfulness practices, and neuromotor rehabilitation. She actively designs prototypes that bridge clinical needs with creative technology solutions, though specific lab affiliations or team collaborations are not detailed in available texts.

Kristen LindquistView profile

Professor

• Emotion
• Affective Neuroscience
• Emotional Development
• +4 more

Dr. Kristen Lindquist is an incoming Professor and Robert K. and Dale J. Weary Chair in Social Psychology at The Ohio State University. She holds a A.B. in Psychology and English from Boston College (2004) and a Ph.D. in Psychology from Boston College (2010). Her research focuses on the psychological and neural basis of emotions, integrating tools from social cognition, neuroscience, and big data. She previously served as an Assistant Professor (2012–2018) and Associate Professor (2018–2022) at the University of North Carolina at Chapel Hill before being promoted to Professor in 2022. Her work emphasizes how emotions emerge from interactions between bodily states, cultural learning, and neural processes across the lifespan. She leads the Affective Science Lab, exploring cultural influences on emotion perception and the role of language in shaping emotional experiences. Lindquist’s research has been featured in Science , NeuroImage , and Trends in Cognitive Sciences , among others. Education: A.B. in Psychology and English, Boston College, 2004 Ph.D. in Psychology, Boston College, 2010 Research Interests: Lindquist investigates emotion construction theory, the neurobiological underpinnings of affect, interoception, and cultural influences on emotion semantics. Her work bridges cognitive, social, and developmental psychology with neuroscience, emphasizing interdisciplinary methods. Recent studies explore how language shapes emotional understanding and the impact of aging on physiological-emotional linkages. Key Contributions: Developed the theory of constructed emotion, challenging traditional discrete emotion models. Conducted large-scale meta-analyses mapping brain networks underlying emotion. Explored cultural variation in emotion semantics using linguistic and neuroimaging data. Labs/Teams: Her Affective Science Lab at OSU will continue investigating emotion’s neural and cultural foundations, with a focus on translational applications in mental health and education.

• Virtual Reality
• Social Interaction
• Human-Computer Interaction
• +4 more

Andrea Stevenson Won is a researcher at Cornell University in the Department of Communication , focusing on virtual reality (VR), human-computer interaction, and social dynamics in immersive environments. Her work explores avatar embodiment , nonverbal behavior , and accessibility in VR for users with disabilities. Research Themes : Virtual embodiment and its psychological effects Accessibility solutions for blind and low-vision users in social VR Nonverbal communication analysis in immersive environments Pro-social behavior through VR interventions Collaborative VR systems and AI integration Recent Article Trends : 2024: Investigated avatar behavior transformation in mixed reality ( MRTransformer ), AI-guided accessibility tools, and nonverbal cue adaptations 2023-2022: Focused on educational VR applications, 360° video narratives, and longitudinal team dynamics 2021-2014: Pioneered avatar embodiment studies, anxiety detection via movement tracking, and homuncular flexibility in VR

Hui LuanView profile

Assistant Professor

• Spatial Epidemiology
• Bayesian Spatiotemporal Statistics
• Geographical Information Science (GIS)
• +4 more

Hui Luan is an Assistant Professor in the Department of Public Health at the Peter O’Donnell Jr. School of Public Health, UT Southwestern Medical Center. He joined UT Southwestern in 2024 after serving as an Associate Professor (tenured) at the University of Oregon (2018–2024). His research focuses on spatial epidemiology, Bayesian spatiotemporal statistics, and GIS applications to address health disparities and environmental determinants of disease. Education: Ph.D. in Planning, University of Waterloo, 2017 M.S. in Cartography and GIS, Wuhan University, 2011 B.S. in GIS, Wuhan University, 2009 Research Interests: Dr. Luan investigates spatial and temporal variations in health outcomes, particularly HIV incidence, and the role of social, physical, and built environments. He develops Bayesian models and spatial analytics to inform geographically tailored interventions. Current projects include optimizing PrEP accessibility, analyzing food environment equity, and leveraging spatial data science for public health policy. Key Achievements: Lead investigator of an NIH-funded R01 project on reducing HIV incidence via spatial data science Editorial board member of Spatial and Spatiotemporal Epidemiology Recipient of the Vu Fellowship (2021–22) Teaching: Teaches courses on GIS in Public Health, Spatial Analysis, and Big Data applications in geography. Recent courses include GIS and Public Health and Spatial and Spatiotemporal Analysis at the University of Oregon. Labs/Teams: Leads the Spatial Data Science Lab focused on advancing Bayesian methods for health data analysis and promoting GIS applications in public health practice.

Barak ArielView profile

Professor

• Experimental Criminology
• Evidence-Based Policing
• Technology in Policing
• +3 more

Barak Ariel is a Professor of Experimental Criminology at the Institute of Criminology, University of Cambridge. He holds a PhD in Criminology from Hebrew University of Jerusalem, an LLM (Hebrew University), LLB (Academic Centre of Law & Business), MA in Criminology (Hebrew University), and BA in Psychology (University of New York). Since 2008, he has been affiliated with the Jerry Lee Centre of Experimental Criminology and teaches on the MSt in Applied Criminology and Police Management. Academic Rank: Professor of Experimental Criminology Key Affiliations: University of Cambridge, Jerry Lee Centre of Experimental Criminology Education: PhD, LLM, MA, LLB, BA Dr. Ariel specializes in experimental criminology, evidence-based policing, and the role of technology in crime prevention. His research focuses on evaluating policing strategies through randomized controlled trials (RCTs), particularly in areas such as body-worn cameras, domestic abuse hotspots, and interventions to reduce violence against women. He has advised police departments and governments across the UK, USA, Latin America, and Europe. His recent publications highlight trends in global crime dynamics, the impact of police interventions on offender behavior, and the use of machine learning for crime forecasting. These works span subfields including hot spots policing, procedural justice, victim-offender overlaps, and network analysis of organized crime. Scientific Awards : Academy of Experimental Criminology Young Experimental Scholar Award European Society of Criminology Young Criminologist Award Fellow of the Division of Experimental Criminology As Chair of the Division of Experimental Criminology (2019–2021), Dr. Ariel has contributed to advancing methodological rigor in criminological research. He has conducted extensive evaluations of police-led interventions, including trials on body-worn cameras, victim communication strategies, and data-driven approaches to domestic homicide prevention. His work bridges academic research with practical policing reforms, emphasizing the importance of empirical evidence in criminal justice policy.

Andrew D. EatonView profile

Assistant Professor

• Social Work
• Health Disparities
• HIV/AIDS Research
• +8 more

Dr. Andrew D. Eaton is an Assistant Professor at the University of Regina’s Faculty of Social Work (Saskatoon Campus) and holds a Status-Only Assistant Professorship at the Factor-Inwentash Faculty of Social Work, University of Toronto. He earned his PhD and MSW from the University of Toronto and his BSW from Toronto Metropolitan University. His research focuses on HIV/AIDS, mental health crises, aging populations, sexual health, and harm reduction, with a commitment to community-based participatory research. Eaton’s work addresses complex comorbidities affecting marginalized groups, particularly sexual and gender minorities. He leads projects such as the '3 Infections, 1 Fight Study' using geospatial tools to reduce harm from injection drug use, and the 'ReportNeedles.ca' initiative to map needle disposal hotspots. His studies also explore cognitive remediation therapies for aging HIV-positive populations and crisis mental health response models. He holds grants from CIHR, SSHRC, CTN, and OHTN. His publications emphasize innovative interventions, including cognitive training programs, civilian-led crisis response systems, and global comparative studies on sexual identities. Eaton’s lab (eaton-lab.com) fosters collaboration between academics, practitioners, and communities to translate research into actionable health policies and practices.

Amy J. SchulzView profile

Professor

• Racial and socioeconomic health inequities
• Environmental racism and environmental justice
• Community-based participatory research (CBPR)
• +7 more

Amy J. Schulz is the University Diversity and Social Transformation Professor at the University of Michigan School of Public Health , specializing in the Department of Health Behavior and Health Equity . She is a sociologist and leading scholar in community-based participatory research (CBPR) , focusing on how social and physical environmental exposures contribute to racial and socioeconomic health inequities . Her current work with the Community Action to Promote Healthy Environments (CAPHE) partnership addresses air pollution disparities in the Detroit Metropolitan Area through policy intervention and community science initiatives. Education PhD, University of Michigan (1994) MSW, University of Michigan (1990) MPH, University of Michigan (1981) Her research examines environmental racism , health impact assessments , and CBPR methodologies . She has conducted policy evaluations for the Gordie Howe International Bridge and state energy plans, while also linking policing, clean water access, and COVID-19 disparities to systemic racism. Recent publications analyze cumulative environmental risks , neighborhood poverty effects , and policy advocacy tools for health equity. She teaches graduate courses such as Environmental Health Promotion and Community-Based Participatory Research , emphasizing interventions for vulnerable populations. Her collaborative work spans public health practice , community science , and urban health disparities , with funding for projects in air quality monitoring , student environmental advocacy , and policy translation . She maintains active partnerships with community organizations in Detroit and has published extensively on the intersection of social determinants and physical environmental risks .

• Knee Osteoarthritis
• Biomechanics
• Rehabilitation Science
• +7 more

Monica Maly is a Part-Time Associate Professor in Rehabilitation Science within the Faculty of Health Sciences at McMaster University. Her academic profile demonstrates extensive expertise in biomechanics and rehabilitation, with particular focus on knee osteoarthritis research. She maintains an active research program with numerous recent publications spanning rheumatology, biomechanics, and rehabilitation science. Dr. Maly's research interests center on understanding the biomechanical and physiological factors contributing to knee osteoarthritis progression and developing effective interventions. Her work examines knee joint mechanics, muscle strength and capacity, gait analysis, pain management strategies, and the impact of exercise interventions on OA symptoms. She has conducted significant research on sex differences in OA, racial disparities in pain experiences, and the relationship between obesity, inflammation, and joint function. Her methodological approaches include biomechanical analysis, clinical trials, systematic reviews, and innovative technologies like soft robotics for knee bracing. Analysis of her recent publications (2023-2025) reveals a strong focus on understanding knee osteoarthritis mechanisms through biomechanical and physiological lenses, with increasing attention to social determinants of health and health disparities. Her work spans multiple disciplines including rheumatology, biomechanics, rehabilitation science, and public health, demonstrating interdisciplinary collaboration. Key trends include examining racial disparities in pain experiences, developing novel interventions like soft robotic knee braces, and investigating the complex relationships between joint loading, biomarkers, and cartilage changes. Dr. Maly has collaborated extensively with researchers across multiple institutions, as evidenced by her numerous publications in high-impact journals such as Osteoarthritis and Cartilage, Arthritis & Rheumatology, and Clinical Biomechanics. Her work often utilizes data from large longitudinal studies including the Osteoarthritis Initiative and the Canadian Longitudinal Study on Aging. While specific grant information isn't detailed in the provided text, her extensive publication record suggests successful funding of multiple research projects.

Anupriya TuliView profile

Research Fellow

• Human-Computer Interaction (HCI)
• Global Health
• Feminist Technology Design
• +5 more

Anupriya Tuli is a Postdoctoral Research Fellow at the KTH Royal Institute of Technology , affiliated with the Division of Media Technology and Interaction Design . She collaborates with Madeline Balaam and Airi Lampinen to examine ethics in data collection for intimate topics and designs interactions fostering trust and collective care in reproductive/menstrual journeys. Research Focus : Intersection of Human-Computer Interaction (HCI), global health, taboo, marginality, and activism Expertise : Qualitative research, feminist design, health equity Education : PhD in Human-Centered Design from IIIT-Delhi, India Their work emphasizes technology as a tool for equity and empowerment , particularly for marginalized communities. Recent publications explore themes like intimate technologies, post-growth HCI, and menstrual mobilities. Awards include fellowships from the Indian Government, Google, and the MARFATIA AWARD (2018). Scientific Awards Fellowship from the Indian Government (for doctoral research) Google Fellowship (for doctoral research) MARFATIA AWARD (2018)

Tyler SchmidtView profile

Assistant Professor

• Neurosurgical Oncology
• Brain Tumor Surgery
• Spinal Tumor Surgery
• +10 more

Tyler Schmidt, D.O., is an Assistant Professor in the Department of Neurosurgery at the University of Rochester Medical Center. He serves as Surgical Director of the Metastatic Brain and Spinal Tumor Program within the Wilmot Cancer Institute and is actively involved in the Translational Brain Mapping Program, integrating neuroscience research to optimize neurological outcomes in brain tumor surgery. Clinical Focus: Neurosurgical oncology, brain/spinal tumor surgery, metastasis management, and degenerative spine conditions. Technical Expertise: Minimally invasive techniques, stereotactic neuro-navigation, brain mapping, and tumor fluorescence-guided resection. Research Emphasis: Patient-centered value-based care for spinal disorders and surgical complication risk modeling. His publications span glioma surgery, spinal reconstruction, pediatric neurosurgical emergencies, and mobile stroke units, reflecting interdisciplinary collaborations. Recent works (2017-2020) highlight outcomes research in spinal surgery, thromboembolic complications in meningioma resection, and innovative approaches to neonatal neurovascular malformations. Dr. Schmidt completed his neurosurgical residency (2014-2020) and fellowship (2017-2018) at Rochester, with prior internship (2013-2014) at the same institution. He holds certification from the American Board of Neurological Surgery and contributes to national neurosurgical organizations.