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.
Maja J Matarić is the Chan Soon-Shiong Chaired and Distinguished Professor of Computer Science at the University of Southern California's Viterbi School of Engineering, with courtesy appointments in Neuroscience and Pediatrics. She serves as founding director of the USC Robotics and Autonomous Systems Center, co-director of the USC Robotics Research Lab, and Principal Scientist at Google DeepMind. Previously, she held leadership roles as USC's interim Vice President of Research (2020-2021) and Vice Dean for Research (2006-2019). Her educational background includes: PhD in Computer Science and Artificial Intelligence from MIT (1994) MS in Computer Science from MIT (1990) BS in Computer Science from University of Kansas (1987) Matarić pioneers Socially Assistive Robotics (SAR) , a field her lab named, focusing on human-robot interaction that provides assistance through social rather than physical support. Her research targets critical health and wellness challenges including post-stroke rehabilitation, autism spectrum disorder therapy, cognitive exercises for Alzheimer's patients, ADHD academic support, and mental health interventions. She develops systems modeling user engagement, personality, and motivation, with extensive real-world deployments in schools, rehabilitation centers, and homes. Analysis of her recent publications reveals dominant themes in cognitive health robotics (2025 CHI paper on LLM-powered elder care), pediatric assistive technology (2025 IDC speech therapy review), and adaptive preference modeling (2025 HRI contrastive learning work). Her research consistently bridges machine learning with human-centered design for vulnerable populations. Major scientific recognition includes: ACM Athena Lecturer Award (2024) ACM Eugene L. Lawler Humanitarian Award (2024) ACM Fellow (2020) Presidential Mentoring Award (2011) Multiple society fellowships (AAAS, IEEE, AAAI) As a dedicated mentor, Matarić has championed underrepresented groups through CRA-W, placing numerous women in faculty positions. She leads USC Viterbi's K-12 STEM Outreach Program serving low-income Los Angeles schools and authored The Robotics Prime for student education. Her research has secured significant funding enabling real-world technology transfer, with documented impact in rehabilitation centers and homes through deployable SAR systems. Her Robotics Research Lab at USC drives innovation in embodied AI, with current projects spanning LLM-integrated elder care robots, ADHD academic companions, and autism therapy systems. The lab emphasizes co-design with end-users and rigorous real-world validation across diverse populations.
Anthony Caterisano is a Professor of Health Sciences at Furman University, with over 35 years of academic and athletic leadership. He holds a Ph.D., M.A., and B.S. from The University of Connecticut, SUNY, and UNC Chapel Hill. His research focuses on exercise physiology, resistance training, and sports medicine, with notable publications in journals like Medicine and Science in Sports and Exercise . Dr. Caterisano is a Fellow of the American College of Sports Medicine (FACSM) and has authored/co-authored books on football training and resistance techniques. He has served as wrestling coach at Furman, Spartanburg Methodist College, and currently coaches at Wade Hampton High School. As a competitive powerlifter, he has secured 16 South Carolina state titles, 10 national titles, and 10 world gold medals in masters-level competitions. His work bridges scientific research and practical application, with grants and presentations on topics like strength training methodologies and cardiovascular adaptations. Key contributions include studies on Tsunami Barbell training, metabolic responses to exercise, and core muscle engagement. His awards reflect both academic excellence and athletic achievement, while his grants and presentations underscore his commitment to advancing sports science.
Jon Singletary serves as Dean and holds the Diana R. Garland Endowed Chair of Child and Family Studies at Baylor University's Diana R. Garland School of Social Work. He joined Baylor in 2003 after earning his PhD in Social Work from Virginia Commonwealth University (VCU), alongside an MSW from VCU and MDiv from Baptist Theological Seminary. His career includes prior roles as Associate Dean (2010–2015) before becoming Dean in 2015. Before academia, Singletary worked as a pastor, community organizer, and social service administrator. His research focuses on strengthening congregational ministries, community development, and advocacy for vulnerable populations. Notable projects include launching the Texas Hunger Initiative and directing the Strengthening Congregational Community Ministries Project. He co-founded the Faith and Service Technical Education Network (FASTENnetwork.org) to bridge faith-based organizations and social service sectors. His publications explore spirituality's role in social work, faith-based program development, and community organizing strategies. Recent work examines career resilience among professionals in aging care and leadership development through Enneagram frameworks. Earlier research addressed child food security, orphan care in Kenya, and rural community capacity building. Singletary's leadership emphasizes integrating faith and practice, evidenced by his edited volumes on Christianity and social work, and his advocacy for competency-based education models. He holds leadership roles in national organizations like the North American Association of Christians in Social Work and has advised global initiatives in Africa.
Dr. Andrew Owusu is a Professor in the Department of Health and Human Performance (HHP) within the College of Behavioral and Health Sciences at Middle Tennessee State University (MTSU), serving as graduate program director for public health. His academic appointments include teaching Foundations in Health Education, Community and Public Health, Epidemiology, and Data Management in Public Health since joining MTSU. His educational credentials include: Ph.D. in Health and Human Performance, Middle Tennessee State University (2004) M.S. in Sports Administration and Management, Wayne State College (1998) B.S. in Biology, University of Alabama (1996) Dr. Owusu's research centers on adolescent health risk behaviors including bullying, sexual risk-taking, and substance use, with specialized expertise in school health policy implementation. His 15-year leadership (2007-2020) of Ghana's Global School-based Student Health Survey (GSHS) and Global School Health Policies and Practices Survey (G-SHPPS) established critical surveillance systems for adolescent health behaviors through collaborations with WHO and CDC. His methodological innovations include classroom response systems for health education and childhood lead poisoning research. Analysis of his 15 most recent publications reveals consistent focus on Ghanaian adolescent health through school-based surveillance, examining sexting, skin-lightening practices, violence victimization, and condom use barriers. His work demonstrates interdisciplinary integration of public health surveillance, policy analysis, and behavioral science to address global adolescent health challenges. Scientific recognition includes: MTSU President Recognition (2008) for significant international research/partnership Feature in 2006-2008 MTSU President’s Biennial Report (pg.11) Dr. Owusu has secured major international collaborations as Ghana's country coordinator for WHO/CDC school health initiatives (2007-2020), directing multi-institutional teams across MTSU, Ghana Education Service, WHO, and CDC. His mentorship extends through graduate program leadership and track coaching, developing 16 NCAA All-American athletes at MTSU while serving as Ghana's Olympic track coach for three consecutive games (2012-2020). The Ghana School-based Student Health Surveillance System (GSSHSS), established under his coordination, represents a sustained partnership model integrating academic research with national public health infrastructure, producing actionable data for school health policy development across Ghanaian educational institutions.
Elena Agapie is an Assistant Professor in the Department of Informatics at the Donald Bren School of Information & Computer Sciences, University of California, Irvine. Her research lies at the intersection of human-computer interaction (HCI), health, and behavior change, focusing on designing technologies that support individuals in adopting and maintaining healthy behaviors through human-centered approaches. She is affiliated with the Connected Learning Lab and the Institute for Future Health at UCI. Her educational background includes a PhD in Human Centered Design and Engineering from the University of Washington, an MS in Computer Science from Harvard University, and a BS in Computer Science from Jacobs University Bremen in Germany. She has also conducted research at Microsoft Research, FXPAL, Intel Labs, and NASA Jet Propulsion Lab. Elena's research focuses on designing tools that integrate evidence-based behavioral interventions with user needs, particularly in mental health, chronic disease management, and social support systems. She explores how technology can support therapist-client collaboration, enable tailored health interventions, and leverage crowd expertise for personalized behavior change plans. Her work often involves participatory design, qualitative studies, and prototyping of interactive systems for diverse populations, including youth, hospitalized patients, and underserved communities. Her recent publications, primarily in top-tier venues like CHI and CSCW, reflect a strong trend toward social computing in health, longitudinal behavior support, and the design of inclusive digital health tools. Key themes include goal setting, conversational agents, social sharing in health tracking, and cross-disciplinary collaboration in health technology development. Best Paper Award (top 1%) at CHI 2017 Honorable Mention Best Paper Award (top 5%) at CHI 2016 Best Paper Award (top 1%) at HCOMP 2015 Honorable Mention Best Paper Award (top 5%) at CHI 2013 Elena has been funded by the National Science Foundation, National Institutes of Health, and UCI internal grants. She actively mentors PhD students including Bruna Oewel, Meeshu Agnihotri, and Mehreen Masood, and is currently recruiting students interested in HCI, health, and behavior change. She previously led the outreach program in the HCDE department at the University of Washington, creating workshops that introduced K–12 students to engineering and human-centered design, reaching over 2,000 students across public schools and community events. She runs initiatives to broaden participation in computing and advises undergraduate students in outreach and curriculum development. Her lab collaborates with clinical partners and interdisciplinary teams to ensure real-world impact of her research.
WANG Ye is an Associate Professor in the Department of Computer Science at the School of Computing, National University of Singapore (NUS). He holds a PhD in Information Technology from Tampere University of Technology, Finland, and has been a tenured faculty member at NUS since 2002, following his industry research role at Nokia Research Center. He is the director of the Sound and Music Computing Lab at NUS, leading cutting-edge research in AI-driven music and health technologies. PhD, Information Technology, Tampere University of Technology, Finland (2002) MSc, Telecommunications, Braunschweig University of Technology, Germany (1993) BSc, Telecommunications, South China University of Technology, China (1983) His research is centered on Sound and Music Computing for Human Health and Potential (SMC4HHP) , with a focus on eHealth, eLearning, mobile/wearable computing, and music information retrieval. His work spans AI for stroke rehabilitation, language learning through singing, singing voice synthesis, and automatic music transcription. He has pioneered systems like SLIONS (language learning via karaoke), CocoLyricist (AI co-creation for stroke recovery), and SinTechSVS (expressive singing voice synthesis). The latest articles highlight a strong trend in AI-driven music and health technologies , particularly in controllable lyric generation, singing voice synthesis, automatic pronunciation assessment, and multimodal music transcription. The research increasingly integrates large language models, explainable AI, fairness, and real-world deployment, reflecting a shift from theoretical exploration to practical, human-centered applications in healthcare and education. Dr. Wang has received numerous scientific honors, including: Best Paper Awards at ACM MM, ISMIR, IEEE ISM, and CHI First Prize, Asia Pacific Assistive, Rehabilitative, and Therapeutic Technologies Challenge (2015) Faculty Teaching Excellence Award, NUS School of Computing (2024) Top Paper Award, ACM Multimedia 2022 AI in Medicine Collaborative Grant for CocoLyricist project He has supervised over 11 PhD and 20 MComp students and is currently guiding six PhD candidates. His grants come from MOE, NRF, A*STAR, Nokia, and Smule. He has served as General Chair of ISMIR2017 and TPC Co-Chair of ICOT2017, and is on the editorial boards of IEEE Transactions on Multimedia and Journal of New Music Research. He has also developed and taught the first course on Sound and Music Computing in Singapore. Dr. Wang leads the Sound and Music Computing Lab (SMC Lab) , a multidisciplinary team exploring the synergy of music computing, AI, mobile technology, and cloud systems for health and education. The lab actively collaborates with medical institutions such as NUS Yong Loo Lin School of Medicine, Singapore General Hospital, and Harvard Medical School, and is currently working on projects in AI-supported language learning, stroke rehabilitation, and intelligent music interfaces.
Prof. Dr. Claudia Peus is a full Professor of Research and Science Management at the Technical University of Munich (TUM) School of Management , serving since May 2011. She holds executive roles as Founding Director of the TUM Institute for LifeLong Learning (TUM IL3) since December 2019 and Executive Vice President for Talent Management and Diversity since October 2017. Her career spans visiting positions at MIT's Sloan School of Management and Harvard University, alongside her habilitation (2011) and PhD (2005) from LMU Munich. Current affiliations: TUM School of Management, TUM IL3, RWI – Leibniz Institute for Economic Research Research focuses: Leadership development in the digital age, diversity in organizations, ethical leadership, and research organization management Recent research trends analyze digital leadership dynamics, gender-decoded recruitment practices, robotic leadership interfaces, and neurophysiological mechanisms in leadership behavior. Her 2025 work on moral careers and 2024 resource-based absorption theory highlight evolving themes in organizational psychology. Scientific honors include: Highly Cited Research Award, Leadership Quarterly (2016) Emerald Citations of Excellence (2016) Best Teaching Award, TUM School of Management (2014) Academy of Management Symposium Award (2010) Bayerische Landesbank Wissenschaftspreis (2006) Prof. Peus advises organizations on diversity and talent management. She was recognized as one of Germany's Most Inspiring Women (2020) and leads projects like FührMINT, ForGenderCare, and the TUM Neurophysiological Leadership Lab (NeLeLab).
Melissa Coyle is a Senior Lecturer at the School of Sport, Exercise and Rehabilitation, Marjon University. She specializes in sport and exercise psychology, focusing on applications in sport science, coaching, physical education, outdoor education, and health and well-being. Her qualifications include HCPC registration as a sport and exercise psychologist, BASES chartered scientist, and BASES-accredited sport scientist (Psychology), alongside a PGCert, MSc, and BSc. Her research explores psychological factors in high-stakes environments, including military training, cancer patient exercise programs, and aging populations. Notable studies include a qualitative evaluation of an 8-week exercise referral program for cancer patients and an investigation into psychological factors in Royal Artillery Army Commando training. She has also examined motivations and barriers to indoor bowls participation among over-65s and mental health transitions in university students. Dr. Coyle has been awarded grants for studies like 'Psychological factors in Army Commando training' and 'Exercise adherence for cancer recovery.' Her publications span journals like Psychology of Sport and Exercise and conferences such as the Association of Applied Sport Psychology. She actively contributes to professional bodies like HCPC and BASES. Her teaching emphasizes practical applications of psychology in sports and health, complemented by research-driven insights. Beyond academia, she is an avid golfer and hill walker.
Martin T. Wells is the Charles A. Alexander Professor of Statistical Sciences at Cornell University, with joint appointments in the Department of Statistical Science, Department of Biological Statistics and Computational Biology, Department of Social Statistics, and as Professor of Clinical Epidemiology and Health Services Research at Weill Medical School. He serves as Editor-in-Chief of the ASA-SIAM Book Series and Co-Editor of the Journal of Empirical Legal Studies. Cornell University, Ithaca, NY Weill Cornell Medical College Research Interests span applied and theoretical statistics, Bayesian methods, biostatistics, clinical epidemiology, and computational biology. His work bridges disciplines like finance, legal studies, and health services research. Article Trends highlight advancements in Bayesian modeling, quantum cognition machine learning, tensor analysis, and misclassification correction, with applications in genomics, finance, and public health. Fellow of the American Statistical Association Fellow of the Royal Statistical Society Contributions include developing statistical software (e.g., rTensor), methodological innovations in clinical trials, and empirical legal studies on civil rights and the death penalty.
Kristin Bernard, Ph.D. (University of Delaware, 2013), is an Associate Professor of Clinical Psychology at Stony Brook University’s Department of Psychology. Her research focuses on the neurobiological consequences of early adversity, parent-child relationships, and the efficacy of early parenting interventions such as Attachment and Biobehavioral Catch-up (ABC). She collaborates with Power of Two, a NYC-based nonprofit, and leads the Developmental Stress and Prevention Lab. Current grants include studies on epigenomics, maternal attachment representation, and community-based ABC interventions. Dr. Bernard’s work bridges clinical and developmental psychology, emphasizing prevention science and translational research. Education: Ph.D. in Clinical Psychology, University of Delaware, 2013. Research Interests: Child maltreatment, neurobiological impacts of early adversity, parenting interventions, psychobiology of attachment, and intervention efficacy. Her lab investigates mechanisms linking caregiving quality to child outcomes, including cortisol regulation, brain development, and behavioral compliance. Lab & Partnerships: Directs the Developmental Stress and Prevention Lab, focusing on high-risk populations. Collaborations include Power of Two for ABC implementation and NYC agencies like the Administration for Children’s Services. Current projects explore neighborhood influences on parenting (Geography of Parenting Study) and neural correlates of parenting behavior (SNAP study). Grants & Funding: Principal Investigator on NIH-funded projects (R03 HD099372, R01 MH119310) and co-PI on Stony Brook’s seed grants. Projects examine accelerated aging biomarkers and intervention effectiveness in community settings. Publications: Over 50 peer-reviewed articles and a co-authored book on ABC interventions. High-impact journals include Psychoneuroendocrinology , Development and Psychopathology , and Child Development .
Dr. Ray Bobrownicki is a Lecturer in Sport Psychology and Co-Programme Director of the BSc (Hons) Applied Sport Science at the University of Edinburgh's Moray House School of Education and Sport. He holds affiliations with the Institute for Sport, Physical Education and Health Sciences (ISPEHS) and the Human Performance Science Research Group. As a chartered psychologist (BPS) and licensed athletics coach, his work bridges academic research and real-world sport practice. Educations: PhD (Sport Psychology and Coaching), University of Edinburgh MSc (Performance Psychology), University of Edinburgh AB (Psychology), Brown University PGCert (Academic Practice), University of the West of Scotland His research focuses on optimizing coaching instruction, motor learning, and performance under pressure. He explores how verbal instructions, analogies, and technology (e.g., VR) influence skill acquisition and athlete motivation. Secondary interests include the societal impacts of sporting policies on athlete welfare and identity. Recent work critiques traditional sport science methodologies and advocates for interdisciplinary, applied research. His publications span 2015–2025, emphasizing critical analysis of coaching practices, motor learning mechanisms, and systemic issues in sport. Key themes include instructional design, constraints-led approaches, and translational research validity. Awards: Fellow of the Higher Education Academy Chartered Psychologist (British Psychological Society) Associate Fellow (British Psychological Society) Teaching responsibilities include programme leadership for BSc Applied Sport Science and contributions to MSc Performance Psychology modules. He currently supervises PhD student Tongyu Liu on esports support taxonomies and welcomes inquiries on coaching instruction, performance psychology, and athlete policy impacts. Dr. Bobrownicki’s career integrates athletic experience (Commonwealth Games finalist, high jumper) with coaching expertise (e.g., mentoring record-breaking athletes) to inform evidence-based practice in sport science.
Holly J. Benjamin, MD is a distinguished sports medicine specialist at the University of Chicago, serving as the inaugural Director of the Primary Care Sports Medicine Program at UChicago Medicine Student Wellness Center. She holds leadership positions including Chair of the Committee on Sports Medicine & Fitness for the Illinois Chapter of the American Academy of Pediatrics, and serves as Head Medical Team Physician for the WNBA Chicago Sky and medical officer for major events including the Bank of America Chicago Marathon, US Soccer, and USA Triathlon. Her educational background includes: B.S. in Integrated Life Sciences, Kent State University (1994) Combined BS/MD, Northeastern Ohio Universities College of Medicine (1994) MD, Northeastern Ohio Universities College of Medicine (1994) Residency in Pediatrics, The University of Chicago Children's Hospital (1997) Fellowship in Primary Care Sports Medicine, Lutheran General Hospital (1998) Dr. Benjamin specializes in sports medicine with particular expertise in youth, adolescent, and collegiate athletes. Her research spans acute and overuse sports injuries, concussion management, sport biomechanics, and musculoskeletal ultrasound. She has made significant contributions to understanding injury prevention strategies, safe return-to-play protocols, and the psychological aspects of sports injuries. Her work frequently addresses female athletes and elite/professional athletes, with emphasis on evidence-based approaches to optimize performance while minimizing injury risk. Recent publications demonstrate a strong focus on concussion research, with multiple studies examining diagnostic approaches, recovery trajectories, and factors influencing outcomes. Her work spans biomechanics, mental health considerations in sports injuries, and innovative approaches to injury prevention across various athletic populations. Her scientific recognition includes: Election as Fellow of the American College of Sports Medicine (2003), becoming the second female pediatrician ever elected Election as Fellow of the American Medical Society of Sports Medicine Distinguished Alumni Award from The New Aurora High School Alumni (1999) Invitation to serve as volunteer physician for the Olympic Training Center (2008) Multiple expert contributions to national media including Runner's World and the Naperville Sun Dr. Benjamin actively mentors through her coaching roles at high school and collegiate levels, emphasizing safe return-to-play post-injury and injury prevention. She has developed educational content through video productions for the American Academy of Pediatrics and serves as head team physician for the University of Chicago Lab School and the NCAA Division III UChicago Maroons. Notably, she is one of only a few sports medicine specialists in the country offering diagnostic and procedural musculoskeletal ultrasound in her office, demonstrating her commitment to advanced diagnostic capabilities for patient care.
Karin Allor Pfeiffer is a Professor in the Department of Kinesiology at Michigan State University (MSU) and Director of the Institute for the Study of Youth Sports. She holds additional membership in the Center for Physical Activity and Health. With a Ph.D. from MSU, her research focuses on physical activity measurement methodologies and population health interventions, particularly among children and adolescents. Her work addresses obesity prevention, environmental design impacts on activity levels, and sociocultural factors influencing youth sport participation. Education: Ph.D. in Kinesiology from Michigan State University Her research interests emphasize: - Quantitative methods for physical activity assessment - Schoolyard redesign strategies and their health impacts - Cardiometabolic risk factors in pediatric populations - Longitudinal tracking of physical fitness and health outcomes Recent work explores accelerometer fragmentation metrics, GPS-linked activity tracking, and disparities in sedentary behavior across demographic groups. She has pioneered interdisciplinary approaches integrating spatial analysis, wearable technology, and policy evaluation. Key contributions include developing the Observational System for Recording Physical Activity in Children and advancing consensus methods for accelerometer data interpretation. Her studies frequently highlight socioeconomic and environmental determinants of health behaviors. Dr. Pfeiffer collaborates with public health agencies and urban planners to translate research into actionable policies. Her lab focuses on scalable interventions for underserved communities, leveraging community-engaged methods to address greenspace accessibility and safety concerns.
Emma Brunskill is an Associate Professor of Computer Science at Stanford University, with a courtesy appointment in Education. She holds a PhD in Computer Science from MIT (2009). Her research focuses on reinforcement learning, educational technology, and healthcare applications, aiming to develop AI systems that support human learning and decision-making. Notable projects include AI tutoring systems, policy evaluation methods, and behavior change interventions using large language models. Her work bridges theory and practice, addressing challenges in off-policy evaluation, fairness-aware decision making, and scalable educational tools. Brunskill has contributed to foundational research in reinforcement learning algorithms and their applications in real-world scenarios such as healthcare, education, and human-AI collaboration. She also leads initiatives to improve equity and efficiency in educational technologies through data-driven approaches. Brunskill's research has been supported by grants such as the NSF RI: Small grant for data-efficient reinforcement learning. She actively explores the ethical implications of AI systems, particularly in healthcare and education settings. Her recent work emphasizes leveraging large language models (LLMs) for personalized feedback and simulated training environments, as seen in studies like GPTCoach and LLM-based counselor upskilling.
