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.
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.
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.
Dr Daniel Franchini is a Lecturer in International Law at the School of Law , University of Sheffield. He is also Deputy Director of the Sheffield Centre for International and European Law Research Cluster and Editor in Chief of its Working Papers Series. DPhil and MJur, University of Oxford MA Law, University of Trento (Italy) His research focuses on Public International Law , with specialization in international dispute settlement, state responsibility, jurisdiction and immunities of states, sanctions, and international investment law . His work explores intersections between domestic and international legal frameworks, particularly in cyber conflicts and financial diplomacy. Recent publications highlight his expertise in cyber dispute resolution , state immunity, and sanctions as tools for international conflict management. He has contributed to edited volumes and journals, emphasizing judicial roles in cyber conflicts and the legal implications of economic measures. Dr Franchini has received grants from the Society of Legal Scholars for collaborative research on international dispute settlement. He previously clerked at the Special Tribunal for Lebanon and the International Criminal Tribunal for the former Yugoslavia, and coached Oxford's Jessup International Law Moot Court team.
Yuni Xia, Ph.D., is an Associate Professor of Computer Science at the Luddy School of Informatics, Computing, and Engineering at Indiana University Indianapolis. She holds a Ph.D., M.S., and B.S. in Computer Science from Purdue University (2005, 2002) and Central China University of Science and Technology (1996), respectively. Education: Ph.D. Computer Science, Purdue University (2005) M.S. Computer Science, Purdue University (2002) B.S. Computer Science and Engineering, Central China University of Science and Technology (1996) Her research focuses on machine learning, AI, computer science education (especially AI integration), data mining, data stream mining, and database systems. She is actively involved in the school’s Database, Data Mining & Machine Learning Research Group and has collaborated with students on projects like the NSF-funded SYMBIOTE system (2008–2010). She serves as a USA Computing Olympiad national team coach and emphasizes innovative teaching methods. Research Grants: Co-PI for NSF-EHCS grant “SYMBIOTE: A Reconfigurable Logic Assisted Data Stream Management System for Multimedia Sensor Networks” (2008–2010) Awarded the IU Trustees Teaching Award twice and recognized as a Digital Faculty Fellow, Xia’s contributions span both research and education. She advocates for pedagogical advancements in AI and computational systems.
Deborah Richards is a Professor in the School of Computing at Macquarie University, affiliated with the Ethics and Agency Research Centre, Performance and Expertise Research Centre, and Frontier AI Research Centre. She holds roles as Industry and External Relations Director for the School and Director of the Virtual Reality Lab. Her research focuses on Intelligent Virtual Agents, Virtual Reality applications in education and health, knowledge acquisition, and cybersecurity ethics. She has authored over 425 publications and led 19 research projects, including studies on AI in healthcare and ethical AI design. Education: PhD (Artificial Intelligence, Macquarie University), MAppSc (Information Studies), BBus (Computing and MIS), and a Postgraduate Certificate in Higher Education (Leadership and Management). She advises on PhD and MRes students in Intelligent Virtual Agents research. Research interests include virtual agents for health behavior change, AI ethics, and educational technology. Notable projects include the eADVICE web-based management system for urinary incontinence and the development of embodied conversational agents for wellbeing support. Awards include the ABC Science Media Fellowship (2005) and Vice-Chancellor’s Citations for Outstanding Contributions to Student Learning (2017). Grants and collaborations span health informatics, cybersecurity, and AI ethics. She co-leads initiatives like the Respectful Maternity Care study and the Virtual Reality Lab’s immersive learning environments. Future work emphasizes ethical AI integration in education and healthcare.
Sjanne Marie van den Groenendaal is an Assistant Professor at the Department of Human Resource Studies, Tilburg School of Social and Behavioral Sciences, Tilburg University. Her research focuses on sustainable employability of self-employed workers and inclusive Human Resource Management (HRM), with a particular interest in freelancers' employment relationships, organizational needs, and psychological contracts. She has been recognized with multiple awards, including the Best Paper Award (2016) and Best Teacher Awards (2014-2016). Her work bridges HRM practices with societal policies, emphasizing inclusive labor markets and strategic HRM approaches. Education: Master of Science (MSc) External Roles: Founder/Consultant at van den Groenendaal Consultancy since 2020. Her research explores topics such as triad employment relationships, technological impacts on HR education, and the interplay between social security policies and strategic HRM. She actively engages in academic activities, including workshops on qualitative data analysis and invited talks on career development in turbulent contexts. Awards: Best Paper Award (second place), 2016 Best Teacher Award (2014-2016) Societal Impact Competition Award, 2019 Professional Contributions: Advises on inclusive HRM strategies, delivers courses on coaching and development in the Bachelor of Personeelwetenschappen program, and collaborates internationally on research projects.
Brent W. Roberts is a Professor of Psychology at the University of Illinois , affiliated with the Social-Personality-Organizational Division. He serves as Chair of the Social and Behavioral Sciences Research Initiative and holds the Edward William and Jane Marr Gutgsell Professorship. Education: Ph.D. in Personality Psychology (1994), University of California, Berkeley Research focuses on personality development across adulthood, personality assessment (especially conscientiousness ), and personality-health relationships . Methodologically, he emphasizes IRT and contextualized assessments. Scientific contributions include: Over 235 research outputs Highly Cited Researcher (Thomson Reuters 2016-2017) Key publications on BESSI, CONIC model, and longitudinal personality analysis Award-winning scholar: J. S. Tanaka Dissertation Award (1995) Carol & Ed Diener Mid-Career Award Theodore Millon Mid-Career Award Henry Murray Award Honorary Doctorate, University of Basel As academic advisor, he has mentored numerous graduate students and postdoctoral fellows in personality psychology, with lab alumni now at institutions like University of Houston and Carleton University.
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.
Gail E. Joseph is a Professor in the College of Education at the University of Washington, with affiliations in Early Childhood & Family Studies and Learning Sciences & Human Development. She teaches courses, advises students, and conducts research on early care and education, focusing on child care quality, social-emotional learning, teacher education, and technology integration. Ph.D., University of Washington Her research projects include statewide surveys on early childhood workforce conditions, studies on digital professional learning tools like Circle Time Magazine, and evaluations of coaching interventions (e.g., FIND in Childcare) to improve teacher-child interactions. She co-created resources such as Teacher Time and the EarlyEdU Alliance, which aims to enhance early childhood education through accessible bachelor’s degrees. Her publications span topics like social-emotional curricula, behavioral interventions, and inclusive education frameworks. She has held leadership roles as Principal Investigator (PI) of the Head Start Center for Inclusion and Co-PI of the National Center for Quality Teaching and Learning (NCQTL). 2018 David R. Thorud Leadership Award (University of Washington) She currently serves as Executive Director of Cultivate Learning at the University of Washington, advancing professional development and quality improvement initiatives nationwide.
Dr. Ben Clarke is an Associate Professor and Department Head of Special Education and Clinical Sciences at the University of Oregon’s College of Education. His research focuses on mathematical development, assessment systems, and school-based interventions to support student achievement. He has led over 20 federally funded grants totaling ~$55 million, emphasizing early numeracy interventions and multi-tiered instructional models. Clarke’s work bridges theory and practice, with publications on mathematics instruction, assessment, and RTI frameworks. Education: PhD (2002), MA (2001) in School Psychology/Special Education from University of Oregon; BS (1997) in Psychology from Wabash College (Phi Beta Kappa). Research Interests: Mathematics intervention design and efficacy Early numeracy assessment Multi-tiered systems of support (MTSS) Technology in education Equity in mathematics education Publications highlight his focus on intervention fidelity, tiered models, and outcomes for students with learning difficulties. Awards include the AERA Special Education SIG Research Award and recognition for academic excellence. Grants and Advising: Principal Investigator on ~$55M in federal grants; advises graduate students in School Psychology and Special Education. His lab develops evidence-based tools like the KinderTEK iPad program and contributes to national practice guides (e.g., IES RTI for Mathematics). Labs/Teams: Leads research teams focused on early mathematics intervention and MTSS implementation, collaborating with schools and policymakers to scale effective practices.
Dr. Iro Armeni is Assistant Professor of Civil and Environmental Engineering at Stanford University, leading the Gradient Spaces research group. Her interdisciplinary research bridges architecture, civil engineering, and computer vision to develop data-driven methods for sustainable and adaptive built environments. Professor Armeni's work focuses on creating gradient environments that blend physical and digital realities through mixed reality technologies. She develops computational methods for 3D scene understanding, generative design, and adaptive spaces that respond to human needs. Her research integrates AI with architectural design to improve sustainability, inclusivity, and reusability of built spaces. Current projects include 3D scene graph representations, automated BIM modeling from visual data, and neuro-symbolic approaches for design optimization. She has developed tools like HoloLabel (AR semantic labeling) and SemSpray (VR annotation) for construction information management. Professor Armeni holds a PhD from Stanford University, supported by a Google PhD Fellowship, and completed postdoctoral research at ETH Zurich with an ETH Fellowship. She teaches courses on Computer Vision for the Built Environment and Mixed Reality applications.
Ahmed Hassoon is an Assistant Research Professor at the Johns Hopkins Bloomberg School of Public Health, with a primary appointment in the Department of Epidemiology and joint appointments in the Department of Neurology at the School of Medicine and the School of Engineering. He is affiliated with several key research centers, including the Welch Center for Prevention, Epidemiology and Clinical Research, the Center for Diagnostic Excellence, and the Center for Humanitarian Health. MPH, Johns Hopkins Bloomberg School of Public Health, 2014 MD, Baghdad College of Medicine, 2004 Dr. Hassoon’s research is centered on leveraging data science and artificial intelligence to improve healthcare quality and safety, particularly in diagnostic accuracy. His work spans applications in lung cancer, stroke, and emergency medicine, with a strong emphasis on reducing diagnostic errors using frameworks like symptom-disease pair analysis (SPADE). He is deeply engaged in developing AI models that reason across multiple clinical modalities to enhance patient outcomes. His recent publications highlight a strong trend in diagnostic safety, AI-driven interventions, and epidemiological analysis of misdiagnosis harms. Key themes include the validation of computable phenotypes, measurement of diagnostic error burden, and the impact of mental health on acute care diagnostics. Hubert Humphrey Fellowship Award, U.S. Department of State (2010) US President Appreciation Certificate, The White House (2011) Atlas Corps Award (2012) Sommer Scholarship Award (2013) State of Maryland Cigarette Restitution Fund Faculty and Translational Research Awards (2016–2017) Institute for Healthcare Improvement (IHI) Fellowship (2024) Dr. Hassoon is a recipient of the AHRQ K08 Career Development Award focused on improving cancer diagnostic safety at Johns Hopkins Hospital. He co-instructs graduate-level courses in data science and AI with Professor Brian Caffo, contributing to the training of the next generation of public health data scientists. He has not formally advised students listed in the provided texts. His collaborative research spans multiple institutions and has been widely disseminated through policy, news, and social media, indicating significant real-world impact. His work is deeply integrated with the Welch Center and the Center for Diagnostic Excellence, where he contributes to translational research initiatives aimed at improving clinical decision-making and patient safety through innovative data-driven approaches.
