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Professor David A Palmer is a distinguished academic jointly appointed by the Hong Kong Institute for the Humanities and Social Sciences and the Department of Sociology at the University of Hong Kong, where he has been teaching since 2008. His interdisciplinary work bridges anthropology, sociology, religious studies, and Sinology, establishing him as a leading scholar in Chinese religious studies and transnational religious movements. Palmer's educational background includes a PhD in Anthropology of Religion from Ecole Pratique des Hautes Etudes (Sorbonne, Paris), an MPhil in Clinical Psychology/Medical Anthropology from University of Paris-VIII, and a BA in Anthropology and East Asian Studies from McGill University. His scholarly contributions span multiple disciplines with particular emphasis on Chinese religious traditions and their global manifestations. His research interests focus on the anthropology and sociology of spirituality and religion, especially Daoism and Chinese religion; religion in modern and contemporary China; inter-Asian and transnational religious circulations; Baháʼí Faith; civil society, volunteering, philanthropy, community engagement; and cultural and religious interactions on the Belt and Road. His work examines how religious traditions navigate modernity, state power, and globalization, with particular attention to the Belt and Road Initiative's cultural dimensions. Palmer's publications reveal a consistent focus on understanding Chinese religious traditions within broader theoretical frameworks of social theory, civil society, and transnational religious networks. His articles demonstrate how Chinese religious practices and institutions both adapt to and shape contemporary social and political contexts, with particular attention to the intersections of spirituality, modernity, and state-society relations. Joseph Levenson Award of the Association for Asian Studies PROSE award of the American Publishers' Association Francis L.K. Hsu Award of the Society for East Asian Anthropology Edward Bruner Prize for the best book in Anthropology of Tourism HK Research Grants Council RGC Research Fellowship (2021-2025) HK Research Grants Council Humanities and Social Sciences Prestigious Fellowship (2019) Palmer currently leads multiple significant research projects including 'Global China, Local Cultures: Chinese Modernity and Soft Power on the Belt and Road' (RGC Research Fellowship, 2021-2025), 'Infrastructures of Faith: Religious Mobilities on the Belt and Road' (CRF, 2019-2023), 'Rituals and Manuscripts of the Lanten Yao (Laos)' (GRF, 2021-2024), and 'Religious Cosmopolitanism in China, 1895-1927' (GRF, 2021-2024). He leads the 'Asian Religious Connections' research cluster at HKIHSS, co-convenes the 'Culture, Community and Social Equity' research cluster in the HKU Faculty of Social Sciences, and serves as co-convenor of the HKU Anthropology Research Network. As President of the East Asian Society for the Scientific Study of Religion, he plays a key role in advancing scholarly understanding of religion in the region.

• Anthropology of Religion
• Sociology of Spirituality
• Daoism
• +7 more

Matthew Louis Mauriello is an Assistant Professor in the Department of Computer and Information Sciences at the University of Delaware , where he directs the Sensify Lab . He holds a PhD in Computer Science from the University of Maryland (2018) and completed postdoctoral work at Stanford University (School of Medicine, 2020; School of Public Policy & Environmental Engineering Department, 2019). Research interests span Human-Computer Interaction (HCI), Ubiquitous Computing, and User-Centered Design with applications in: Sustainability Human-Building Interaction Wearable Technology Personal Informatics Educational Game Design Mental Health Interventions Recent publications highlight trends in stress monitoring (skin-like biosensors, workplace wellbeing), energy auditing (thermography systems), and educational technology (block-based programming tools for teachers). His work appears in ACM CHI, ACM Human-Computer Interaction, and Building and Environment. Scientific awards include: Best Paper Honorable Mention, CHI 2016 Best Paper Honorable Mention, CHI 2015 Best of WebSci'18 Teaching at University of Delaware encompasses courses like Educational Game Design Operating Systems Advanced Web Technologies Computing for Social Good with a focus on project-based learning and systems thinking.

• Human-Computer Interaction
• Ubiquitous Computing
• Sustainability
• +7 more

Mark Y. Liberman is the Christopher H. Browne Distinguished Professor of Linguistics and Trustee Professor at the University of Pennsylvania. He holds a joint appointment in the Department of Linguistics and the Department of Computer and Information Science. His roles include Director of the Linguistic Data Consortium (LDC), Faculty Director of Ware College House, and former Director of the Institute for Research in Cognitive Science. Education: A.B. in Linguistics and Applied Mathematics from Harvard University (1965–1969), M.S. (1972) and Ph.D. (1975) in Linguistics from MIT. Research focuses on corpus-based phonetics, clinical linguistics applications, tonal phonology, formal models for linguistic annotation, and computational linguistics. He explores speech production, prosody, and interdisciplinary topics like language evolution and neurobiology of speech. Recent articles highlight advancements in speech biomarkers for neurodegenerative diseases, autism analysis, and computational linguistics. Awards include Fellowships from the AAAS and Linguistic Society of America. He advises graduate students and leads large-scale language resource initiatives like LDC, contributing to open-access linguistic datasets. Labs/Teams: Linguistic Data Consortium (LDC), Institute for Research in Cognitive Science (IRCS), and collaborations in computational linguistics and neuroscience.

• Corpus Linguistics
• Speech and Language Technology
• Clinical Linguistics
• +4 more

Abhijit Banerjee is a Professor in the Department of Economics at the Massachusetts Institute of Technology (MIT). His research focuses on development economics, public health policy, and social protection programs, particularly addressing poverty and inequality in low- and middle-income countries. He has conducted large-scale experiments evaluating interventions such as conditional cash transfers, universal basic income, and healthcare policies. Key areas of interest include the design and implementation of anti-poverty programs, behavioral economics, and the long-term health impacts of infectious diseases like COVID-19. His work often integrates experimental methods to assess policy effectiveness, with contributions to global health studies and economic development strategies. Notably, his research on the RECOVERY trial evaluates treatments for hospitalized COVID-19 patients, while other studies explore financial spillover effects of electronic government transfers in Indonesia and savings behavior interventions in Chile. Banerjee has collaborated on projects analyzing post-COVID-19 health outcomes, labor market dynamics in India, and the role of trusted messengers in public health communication during crises. Despite the breadth of his contributions, specific details about his educational background, grants, or lab affiliations are not explicitly provided in the source text.

• Economics
• Development Economics
• Public Health Policy
• +3 more

Shrikanth (Shri) Narayanan is a University Professor and holder of the Niki and Max Nikias Chair in Engineering at the University of Southern California (USC), serving as the inaugural Vice President for Presidential Initiatives. He leads the Signal Analysis and Interpretation Lab (SAIL) and holds joint appointments in Computer Science, Linguistics, Psychology, Neuroscience, Pediatrics, and Otolaryngology-Head and Neck Surgery. His research focuses on speech and audio processing, behavioral signal processing, and real-time MRI of speech production, with applications in healthcare, education, and technology. Education: B.E. in Electrical Engineering from College of Engineering, Guindy (Chennai, India, 1988); M.S., Engineer, and Ph.D. in Electrical Engineering from UCLA (1990, 1992, 1995). Research interests span computational linguistics, machine learning, and multimodal human behavior analysis. He pioneered technologies for speech biomarkers in mental health, real-time MRI of speech production, and wearable sensor systems for longitudinal health studies. His work in speech emotion recognition, forensic interviews, and clinical applications has been recognized through over 40 awards, including the IEEE Flanagan Award and ISCA Medal. He has published extensively in journals like Proceedings of the IEEE , Journal of the Acoustical Society of America , and PLOS One . Key Grants: NSF CAREER, Okawa Research, IBM Faculty, Google/Amazon awards. Labs/Teams: Signal Analysis & Interpretation Lab (SAIL), USC Information Sciences Institute (ISI), Google Visiting Faculty Researcher.

• Speech and Audio Processing
• Behavioral Signal Processing
• Real-Time MRI of Speech Production
• +4 more

Jennifer Olsen, PhD, is an Assistant Professor of Computer Science at the University of San Diego since 2020. She holds a PhD, MS, and BS in Human-Computer Interaction and Cognitive Science from Carnegie Mellon University, followed by postdoctoral research at the Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland. Her research focuses on the intersection of human-computer interaction, cognition, and education, emphasizing collaborative learning and educational technology design from both learner and instructor perspectives. Education: PhD in Human-Computer Interaction, Carnegie Mellon University MS in Human-Computer Interaction, Carnegie Mellon University BS in Cognitive Science, Carnegie Mellon University Research Interests: Dr. Olsen explores how collaboration supports learning, designs technologies to enhance educational practices, and investigates gaze-based metrics for understanding collaborative problem-solving. Her work spans gamified robotics, AI-driven orchestration systems, and virtual reality applications in vocational training. She emphasizes learner-centered design and the integration of social robots and virtual agents in pedagogical settings. Grants/Advising: While no specific grants or advisees are listed, her prolific publication record indicates active involvement in educational technology research and development. Her work addresses challenges in classroom orchestration, multimodal data analysis, and accessibility in educational robotics. Labs/Teams: Collaborates with interdisciplinary teams focused on educational technology, human-robot interaction, and adaptive learning systems. Her research leverages tools like FROG orchestration graphs and eye-tracking technologies to develop practical classroom solutions.

• Human-Computer Interaction
• Learning Sciences
• Educational Technology
• +2 more

Dr. Carolyn Emery is a Professor in the Faculty of Kinesiology at the University of Calgary, with joint appointments in Pediatrics and Community Health Sciences at the Cumming School of Medicine. She holds leadership roles as Chair of the Sport Injury Prevention Research Centre (an International Olympic Committee Research Centre) and the Alberta Children’s Hospital Research Institute. Her affiliations include the McCaig Institute for Bone and Joint Health, Hotchkiss Brain Institute, and O’Brien Institute for Public Health. Dr. Emery’s education includes a BScPT from Queen’s University (1988), MSc in Epidemiology from the University of Calgary (1999), and PhD in Epidemiology from the University of Alberta (2004). Her research focuses on injury prevention in youth sports, concussion, and pediatric rehabilitation, aiming to reduce long-term health consequences such as osteoarthritis and post-concussion syndrome. She leads major grants including CIHR’s “SHRed Injuries” and NFL-funded concussion surveillance programs. Her research interests emphasize practical interventions for injury prevention, including neuromuscular training and policy changes. Recent work explores concussion outcomes in adolescents, biomechanical injury mechanisms, and global sport safety initiatives. She has published extensively on topics like sport-related musculoskeletal injuries, concussion management, and the epidemiology of youth sports. Dr. Emery has received over 20 awards, including the Royal Society of Canada Fellowship, Killam Professorship, and CIHR Canada Research Chair. Her work bridges clinical practice, policy, and community engagement to enhance public health outcomes in sports and youth recreation. Her lab, the Sport Injury Prevention Research Centre, collaborates internationally to develop evidence-based strategies for injury prevention. Current projects include evaluating the impact of tackle laws in rugby, head acceleration in wrestling, and long-term consequences of pediatric concussions.

• Injury Prevention
• Concussion Research
• Pediatric Rehabilitation
• +3 more

Samuel J. Gershman is a Professor of Psychology at Harvard University, affiliated with both the Department of Psychology and the Center for Brain Science. He directs the Computational Cognitive Neuroscience Lab (CCNLab), where he investigates how the brain acquires richly structured knowledge about the environment and uses this knowledge to guide adaptive behavior. Gershman received his B.A. in Neuroscience and Behavior from Columbia University in 2007 and his Ph.D. in Psychology and Neuroscience from Princeton University in 2013, followed by postdoctoral training in the Department of Brain and Cognitive Sciences at MIT (2013-2015). His research spans computational neuroscience, cognitive psychology, and machine learning. His primary research interests include learning, memory, decision making, and computational neuroscience. Gershman's work integrates behavioral, neuroimaging, and computational techniques to understand cognitive processes. He has made significant contributions to understanding memory systems, reinforcement learning, and the computational principles underlying human cognition. Analysis of Gershman's recent publications reveals a strong focus on computational approaches to understanding cognitive processes, with particular emphasis on memory systems, decision-making mechanisms, and the intersection of artificial intelligence with cognitive neuroscience. His work often bridges theoretical computational models with empirical neuroscience data, exploring how the brain implements efficient cognitive algorithms. Gershman actively mentors graduate students and postdoctoral researchers, with current advisees working on diverse projects spanning computational modeling, neuroimaging, and behavioral experiments. His lab investigates topics ranging from dopamine signaling to social cognition using a combination of theoretical and experimental approaches. The CCNLab, which Gershman directs, brings together researchers from psychology, neuroscience, computer science, and related fields to explore the computational principles of cognition. The lab utilizes a range of methodologies including behavioral experiments, neuroimaging, computational modeling, and theoretical analysis to address fundamental questions about how the mind works.

• Learning
• Memory
• Decision Making
• +6 more

Rhonda Goldman is a Full Professor in the Clinical Psychology Department at The Chicago School of Professional Psychology in Chicago, Illinois. She is a licensed Clinical Psychologist in Illinois and runs her private practice, Emotion-focused Therapy, Chicago, where she sees both couples and individuals. Dr. Goldman is a founding board member of the International Society of Emotion-focused Therapy and serves as President of the Emotion-focused Therapy Institute. Dr. Goldman earned her academic credentials from York University in Toronto, Ontario, Canada, receiving her Bachelor of Arts in 1987, Master of Arts in 1991, and Doctor of Philosophy in Clinical Psychology in 1997. She taught at the Illinois School of Professional Psychology for 22 years before transitioning to her current position at The Chicago School of Professional Psychology following the closure of the Illinois School. Dr. Goldman is a leading expert in Emotion-Focused Therapy (EFT), a therapeutic approach that integrates elements of client-centered therapy, Gestalt therapy, and modern emotion theory. Her research focuses on EFT for couples, emotional processes, empathy, vulnerability, depression, case formulation, and self-soothing. She has authored six texts on EFT and two professional videos published by the American Psychological Association. Dr. Goldman teaches graduate courses in Humanistic and Experiential Psychotherapy, Psychotherapy Seminars, and Emotion-Focused Therapy, emphasizing the importance of emotional processing in therapeutic change. Dr. Goldman's publications demonstrate a consistent focus on advancing Emotion-Focused Therapy through both theoretical development and practical application. Her work spans individual therapy, couples therapy, case formulation, and therapist training, with recent emphasis on adapting EFT for online delivery. Her research shows how emotional awareness and processing serve as central mechanisms of change in psychotherapy, with applications across various clinical issues including depression and relationship distress. Dr. Goldman is actively involved in professional organizations that support the development and dissemination of Emotion-Focused Therapy. She serves as a founding board member of the International Society for Emotion-focused Therapy, past-president of the Society for the Exploration of Psychotherapy Integration, Action-Editor for the Journal of Person-centered and Experiential Psychotherapies, and member of the Society for Psychotherapy Research. As an educator and clinician, Dr. Goldman has mentored numerous professionals in the field of psychotherapy. She travels internationally conducting training workshops for mental health professionals in Emotion-focused therapy for Couples and Individuals across Europe, Asia, and North America. Her work bridges research and practice, emphasizing the importance of emotional processing in therapeutic change while maintaining a strong commitment to evidence-based practice. Dr. Goldman co-founded the Emotion-focused Therapy Institute (EFTI), which facilitates and fosters training and educational opportunities for psychologists and therapists interested in incorporating EFT into their professional practices. Through EFTI and her international workshops, she has created a global community of practitioners dedicated to advancing Emotion-Focused Therapy.

• Clinical Psychology
• Emotion-Focused Therapy
• Psychotherapy
• +7 more

Tanzeem Choudhury is a Professor at the Jacobs Technion-Cornell Institute at Cornell Tech, specializing in Information Sciences. She co-founded HealthRhythms Inc. and directs the People-Aware Computing lab, focusing on machine learning for human activity and social network analysis. Her work pioneered the 'Reality Mining' field, leveraging mobile sensors to model social interactions. Choudhury holds a Ph.D. from MIT's Media Lab and B.S. in Electrical Engineering from the University of Rochester. Her research spans wearable tech, mental health interventions, and ubiquitous computing. Notable projects include affective touch wearables for anxiety reduction, stress detection systems (e.g., StressSense), and the BeWell app for well-being monitoring. Choudhury has been recognized as an ACM Fellow and SIGCHI Academy member, with impactful contributions to healthcare technology and sensor-based behavioral analysis. Current lab initiatives include developing closed-loop interventions for mental health, equity-driven sensing systems, and exploring AI integration in psychotherapy. She advises PhD students on topics like digital biomarkers, burnout detection in healthcare workers, and smartphone-based mental health assessment. Education: Ph.D. in Media Arts & Sciences (MIT), M.S. (MIT Media Lab), B.S. in Electrical Engineering (University of Rochester) Lab Team: Includes PhD candidates (Dan Adler, Yiran Zhao) and researchers focusing on health AI, wearable devices, and clinical applications. Major Awards: ACM Fellowship (2020), SIGCHI Academy (2018), Best Paper Awards at Ubicomp and MobileHCI conferences. Key Projects: OptoBeat (skin-tone calibrated blood oxygen sensor), EmotionCheck (anxiety intervention), and Affective Touch devices.

• Ubiquitous Computing
• Mobile Sensing Systems
• Wearable Technology
• +4 more

Abigail L. Rosen, Ph.D., is a Senior Lecturer in the Department of Psychiatry and Psychology at the University of Rochester School of Medicine and Dentistry. She is affiliated with UR Medicine Faculty Group and Accountable Health Partners, focusing on clinical research and patient care. Ph.D. in Clinical Psychology, University of Rochester (2019) M.A. in Clinical Psychology, University of Rochester (2016) B.A. in Psychology, Vassar College (2010) Her research centers on trauma exposure and child maltreatment in low-income populations. A 2018 publication explores how trauma patterns affect mental health outcomes in maltreated versus non-maltreated children, highlighting intersections of socioeconomic status and developmental psychology. Her work aligns with clinical psychology and psychiatry, emphasizing early-life adversities and their long-term impacts. No awards, students, or grants are documented in the provided text.

• Clinical Psychology
• Child Trauma
• Child Maltreatment
• +2 more

Dr. Kaya de Barbaro is an Associate Professor in the Department of Psychology at the University of Texas at Austin (College of Liberal Arts). She holds a Ph.D. from the University of California San Diego. Her research focuses on bridging computer science and developmental/clinical psychology, particularly maternal mental health and infant social-emotional development. She directs the Daily Activity Lab, which uses mobile/wearable sensors and machine learning to analyze real-world interactions, aiming to develop just-in-time interventions for new mothers. Key research areas include maternal-infant dynamics, physiological synchronization, and the impact of environmental chaos on development. She has pioneered methods for analyzing high-density data, such as Granger causality and machine learning algorithms to detect behaviors like crying and holding. Recent work emphasizes leveraging ecological momentary assessment surveys and 24-hour LENA audio recordings to understand proximal mechanisms of development. Dr. de Barbaro teaches Psychology 333D (Introduction to Developmental Psychology) and has developed curricula for both in-person and online formats. She is actively involved in training students through the Eureka program at UT Austin. Her lab collaborates on tools like chatbots for postpartum mental health and has published extensively on sensor-based methodologies in developmental science.

• Developmental Psychology
• Clinical Psychology
• Social Interactions
• +5 more

Professor Maria Craig is a distinguished academic and researcher at the University of New South Wales, Faculty of Medicine & Health, specializing in childhood diabetes research. She holds a prominent position as a Professor with extensive contributions to the field of pediatric endocrinology and diabetes, particularly focusing on type 1 diabetes in children. Professor Craig's educational background includes: MB BS from the University of Melbourne MMedSc(ClinEpid) from the University of Newcastle PhD from the University of Sydney FRACP (Fellow of the Royal Australasian College of Physicians) Professor Craig's research primarily focuses on childhood diabetes, with special emphasis on prediction and prevention of type 1 diabetes. She has a significant interest in the association between viruses and type 1 diabetes, collaborating with the Virology Research Group at Prince of Wales Hospital (POWH). Together with Professor Bill Rawlinson, she leads the viral theme for the multicentre ENDIA study (endia.org.au). As principal investigator for the CoRD trial, she is conducting a world-first phase 1 study using autologous cord blood for prevention of type 1 diabetes in children with islet autoimmunity. Additionally, she serves as principal investigator for the Australasian Diabetes Data Network (ADDN). Her research portfolio also encompasses the epidemiology of various forms of childhood diabetes (type 1, type 2, cystic fibrosis related diabetes and monogenic diabetes) and diabetes complications, in collaboration with Professor Kim Donaghue at the Children's Hospital at Westmead. Professor Craig's extensive publication record, including over 361 journal articles, demonstrates her leadership in advancing our understanding of childhood diabetes. Her recent work shows increasing focus on early detection methods, risk prediction models, technological interventions for diabetes management, and the complex interplay between viral infections and autoimmune diabetes development. She has been instrumental in developing clinical practice guidelines through her role as co-editor of the International Society for Pediatric and Adolescent Diabetes (ISPAD) guidelines. Professor Craig has received numerous prestigious awards recognizing her contributions to pediatric endocrinology and diabetes research: Australian Paediatric Endocrine Group Young Investigator's Award (1997) Asia Pacific Paediatric Endocrine Society Clinical Teaching Award (2008) Lifetime Honorary Member, Caring and Living as Neighbours (2013) Australian Diabetes Society Jeff Flack Diabetes Data Award (2019) Australian Paediatric Endocrine Group Norman Wettenhall Award for Research and Innovation (2019) Throughout her career, Professor Craig has demonstrated exceptional leadership in professional societies, having served as former president/treasurer of the Australasian Paediatric Endocrine Group (APEG) and currently as Scientific Convenor of the Asia Pacific Paediatric Endocrine Society Fellows school. Her work with the ENDIA study and Australasian Diabetes Data Network represents significant collaborative research efforts involving multiple institutions across Australia and internationally. Her principal investigator roles for major studies indicate substantial research funding support. Professor Craig leads several important research initiatives including the ENDIA study, the CoRD trial, and the Australasian Diabetes Data Network. These programs involve multidisciplinary teams of researchers, clinicians, and support staff working collaboratively to advance understanding and treatment of childhood diabetes. Her work at the intersection of virology and diabetes represents a unique and innovative approach to understanding the environmental triggers of type 1 diabetes.

• Childhood Diabetes
• Type 1 Diabetes
• Virology and Diabetes
• +4 more

Tim Althoff is an Associate Professor at the Paul G. Allen School of Computer Science & Engineering, University of Washington, specializing in Artificial Intelligence and Human-Centered Computing. His research focuses on behavioral data science, combining Data Science Natural Language Processing Social Computing Human-Centered AI Ethics & Fairness to extract insights about health and well-being. Recent publications highlight advancements in: Mental health support through AI Wearable sensor health monitoring Online community analysis Reproducibility in data science Public health interventions with notable papers in ACL, Nature Machine Intelligence, and NeurIPS. Scientific recognition includes: ACL 2023 Outstanding Paper Award WWW 2021 Best Paper Award Double ICWSM 2021 Best Paper Awards SIGKDD Dissertation Award 2019 Fulbright Scholarship German National Merit Foundation Actively mentoring postdoctoral researchers and seeking PhD students in areas like neural representation learning, NLP applications to psychology, and mobile health technologies through his Behavioral Data Science Group .

• Artificial Intelligence
• Human-Centered Computing
• Data Science
• +5 more

Dr. Sudie E. Back is a Professor in the Department of Psychiatry and Behavioral Sciences at the Medical University of South Carolina (MUSC), College of Medicine. She also serves as Director of the NIH-sponsored Drug Abuse Research Training (DART) program and is a Staff Psychologist at the Ralph H. Johnson VA's STAR program. Her expertise lies in treating substance use disorders and PTSD, particularly among veterans and civilians. She leads both behavioral and pharmacological clinical trials, as well as neuroimaging studies. Education: PhD in Clinical Psychology from the University of Georgia (2004), clinical internship at Yale University School of Medicine (2002–2003), and postdoctoral training at MUSC (2004–2005). Research Interests: Co-occurring substance use and PTSD, trauma-focused therapies, veterans' mental health. Funding: NIH, Department of Defense, and VA grants, including K23, R01, K02, and a Fulbright award. Dr. Back has pioneered integrated treatment approaches, such as combining oxytocin with exposure therapy for AUD and PTSD. She also developed COPEWeb , a web-based training program for providers treating PTSD and SUD. Her trials include randomized clinical trials on cognitive processing therapy and relapse prevention. Awards: Career Development Award (K23) R01 grants Independent Scientist Award (K02) Fulbright Scholar Award (Australia) Labs/Teams: Director of DART program at MUSC and STAR program at the VA, focusing on translational research and clinical training.

• Substance Use Disorders
• Post-Traumatic Stress Disorder (PTSD)
• Co-occurring Disorders
• +3 more