Susan Embretson is a Professor of Psychology at the School of Psychology, Georgia Institute of Technology, with a distinguished career spanning modern psychometric theory and cognitive assessment methodologies. Her educational foundation includes a Ph.D. in Psychology from the University of Minnesota (1973). Dr. Embretson pioneers the integration of cognitive theory into psychometric models , specializing in item response theory and cognitive diagnosis. Her groundbreaking work on "tests without items" leverages artificial intelligence for dynamic item generation targeting cognitive difficulty sources. Research spans fluid reasoning, spatial ability, mathematical reasoning, and verbal comprehension, fundamentally advancing personalized assessment. Analysis of her 2012-2016 publications reveals sustained innovation in multicomponent latent trait modeling, cognitive complexity applications, and AI-driven test development. Key themes include diagnostic precision in mathematics assessment, cognitive load optimization, and personality impacts on test performance, establishing new paradigms in educational measurement. She directs the Cognitive Measurement Laboratory at Georgia Tech, driving research at the intersection of cognitive science and psychometrics.
Jasvinder Singh is a Professor of Medicine and Epidemiology at the University of Alabama at Birmingham (UAB) , holding the Musculoskeletal Outcomes Research Endowed Professor title. He serves as Director of Rheumatology Research at the Birmingham VA Medical Center, Director of the UAB Cochrane Musculoskeletal Group Satellite Center, and Director of the University of Alabama Health Services Foundation Gout Clinic. Key roles: FDA Arthritis Advisory Committee member, OMERACT executive committee member, VA Rheumatology Field Advisory Committee chair, and Rheumatology Research Foundation grant review chair Education: MD (University of Delhi, 1993), MPH (University of Minnesota, 2003) Research Focus: Outcomes of arthritis and musculoskeletal diseases Patient-reported outcomes Health disparities in rheumatic diseases Comparative effectiveness research (gout, lupus, rheumatoid arthritis, joint replacement) Shared decision-making tools for chronic disease management Recent Article Trends: His 2025 work spans implementation science for lupus decision aids, health disparities in rural vs. urban populations, cardiovascular comorbidity in rheumatic diseases, and standardized outcome measures for crystal arthritis. He also contributes to bioenergy sustainability and global nutrition epidemiology . Scientific Awards: ACR Henry Kunkel Young Investigator Award (2016) Max Cooper Award for Research Excellence (2017) Arthritis Foundation Lee C. Howley, Sr. Award (2018) Best Doctors in America (2011–present) Teaching & Mentoring: Served on graduate dissertation committees and implemented patient decision aids in multicenter clinical trials during the COVID-19 pandemic.
Prof. Yu-Seop Kim is a Professor at the School of Software, Hallym University, Chuncheon-si, Republic of Korea. He holds a B.Eng. in Computer Science from Sogang University (1992), and M.Eng. (1994) and D.Eng. (2000) in Computer Engineering from Seoul National University. His academic work is centered on the integration of artificial intelligence with biomedical applications. B.Eng., Department of Computer Science, Sogang University, 1992 M.Eng., Computer Engineering, Seoul National University, 1994 D.Eng., Computer Engineering, Seoul National University, 2000 His research interests lie at the intersection of bioinformatics, computational intelligence, natural language processing, and deep learning , with a strong emphasis on medical applications. He actively explores how AI can assist in clinical diagnostics and healthcare documentation. The recent trend in his publications demonstrates a focus on AI-driven medical image analysis and automated clinical text generation . His work leverages convolutional neural networks and language models to interpret brain CT scans, detect aortic dissection, and augment medical reports for cerebrovascular diseases. These efforts reflect a consistent effort to bridge machine learning with real-world clinical challenges. While no scientific awards are listed in the provided text, his collaborative research output suggests active engagement in academic and clinical partnerships. Prof. Kim has advised multiple researchers and co-authored numerous publications, particularly in journals like Applied Sciences and Journal of Clinical Medicine . Although specific grant information is not mentioned, his research likely involves funding for AI in healthcare. He collaborates with colleagues such as Byoung-Doo Oh, Chulho Kim, and Bitnarae Kim, indicating a multidisciplinary team approach. His work appears to be conducted within a research group or lab focused on AI for medical imaging and language processing , potentially involving students and clinical collaborators from affiliated institutions like Chuncheon Sacred Heart Hospital. This environment supports translational research from algorithm development to clinical validation.
Denny Yu is an Associate Professor at the Edwardson School of Industrial Engineering, Purdue University. His work bridges human factors, neuroergonomics, and healthcare safety through advanced sensor systems and AI. Primary Affiliation : Edwardson School of Industrial Engineering, Purdue University Research Themes : Surgical ergonomics, autonomous vehicle human factors, cognitive workload assessment, multimodal physiological sensing Dr. Yu's research focuses on neuroergonomics and human-robot interaction , particularly in surgical and transportation contexts. His team develops sensor-based systems for workload monitoring, including: EEG-eye tracking fusion for situation awareness Wearable exoskeletons for surgical posture support Computer vision tools for lifting task risk analysis Smart infusion pump usability frameworks AI-driven surgical coaching systems Recent publications emphasize deep learning applications in soft tissue deformation estimation and real-time adaptive systems for robotic surgery augmentation. His work spans both occupational health (veterinary surgeons, airport workers) and medical device innovation domains.
Dr. Dawn M. Johnson is a Professor in the Department of Counseling Psychology at the University of Akron. She holds a Ph.D. in Counseling Psychology from the University of Kentucky (2001) and completed a postdoctoral research fellowship at Brown University School of Medicine (2003), focused on clinical trials for PTSD. She has been affiliated with the Summa-Kent State Center for the Treatment and Study of Traumatic Stress and has led NIH-funded research projects since joining the University of Akron in 2008. Her research focuses on trauma-related interventions, particularly for survivors of intimate partner violence (IPV), PTSD, and domestic violence shelter residents. She developed the HOPE treatment program, a CBT and empowerment-based therapy targeting PTSD in domestic violence shelters. Current projects include trauma-informed care planning in Summit County, HIV prevention for transgender women with IPV, and online interventions for perinatal women experiencing IPV. Co-PI: Trauma Informed Care Planning in Summit County (opioid-related services) Co-PI: HIV risk reduction intervention for transgender women with IPV Co-I: Computerized Intervention for Perinatal Women with IPV Her scholarly work spans over 15 years, with publications in Psychology of Women Quarterly , Journal of Traumatic Stress , and Psychological Trauma . She emphasizes interdisciplinary approaches to address trauma, gender-based violence, and health disparities.
Dr. Muirne Paap is an Associate Professor with Ius Promovendi at the Faculty of Behavioural and Social Sciences, University of Groningen. She specializes in psychometrics, with expertise in test theory, item response theory, and computerized adaptive testing. Her research focuses on enhancing clinical decision-making through advanced measurement methodologies. Education: PhD in Psychiatry from the University of Oslo (2011), MSc in Clinical Psychology and Psychometrics from the University of Groningen (2006, cum laude). Research Interests: Development of reliable clinical assessment tools Computerized adaptive testing (CAT) applications in healthcare Measurement of personality disorders and quality of life Notable Projects: SEALS Project (2024–2028): Methodology for progressive tests in education PersoniCAT Project (2019–2022): Adaptive diagnostic interviews for personality pathology Awards: FRIPRO Young Research Talents Grant (2018) Member of the Young Academy Groningen (2021) Teaching: Test theory, item response theory, and applied statistics at undergraduate and master's levels. Collaborations: Extensive international partnerships, including with Oslo University Hospital, Harvard Medical School, and the Netherlands Cancer Institute.
Prof. Dr. Nuri Dogan is a Professor at Hacettepe University, Faculty of Education, Department of Educational Sciences, where he serves as Head of the Department of Educational Sciences since 2021 and previously as Head of the Department of Measurement and Evaluation in Education since 2019. He earned his BA (1996), MA (1999), and PhD (2002) from Hacettepe University's Department of Educational Measurement and Evaluation. After working as a research assistant (1998-2002) and lecturer (2003-2010), he became an Associate Professor in 2011 and a full Professor in 2016. He conducted post-doctoral research at University of Massachusetts-AMHERST under Ronald K. Hambleton in 2014-2015 with a TÜBİTAK scholarship. His research focuses on educational measurement and evaluation, psychometrics, test development, classical test theory, item response theory, and computerized adaptive testing. He teaches courses on measurement and evaluation in education, test development, scaling techniques, classical test theory, psychological foundations of measurement, research techniques, computerized measurement applications, and various other topics related to educational assessment. His extensive body of work demonstrates strong expertise in educational assessment methodologies, with particular emphasis on the technical aspects of measurement and evaluation. Dogan's publication record shows a clear progression from foundational work in classical test theory to more sophisticated applications in computerized adaptive testing and multistage testing. His recent work (2023-2024) reveals a strong focus on practical applications of measurement theory in large-scale assessments like PISA, with increasing integration of data mining and machine learning approaches. His research spans both theoretical psychometrics and practical applications across various educational contexts. Scientific Awards: TÜBİTAK scientist support program (BİDEP) scholarship for post-doctoral research at University of Massachusetts-AMHERST Prof. Dogan has supervised 55 graduate students (28 master's and 27 PhD candidates) whose research spans educational measurement, psychometrics, test development, and various applications of assessment methodology. His research projects include significant work on computerized adaptive testing, multistage testing, measurement invariance, and large-scale international assessments like PISA. He has received multiple research grants from TÜBİTAK and other national and international funding bodies. Prof. Dogan also chairs the Board of Directors of the Association for Measurement and Evaluation in Education and Psychology (EPODDER) and has been actively involved in numerous national and international research projects related to educational assessment and measurement.
Leanne M. Currie is an Associate Professor at the UBC School of Nursing , part of the University of British Columbia's Faculty of Applied Science. Her work bridges nursing practice with health informatics, focusing on technology-mediated stigma reduction, usability design, and equity in digital health platforms. Nursing Informatics Health Information Technology Virtual Health Systems Stigma Reduction in Digital Platforms Equity, Diversity, and Inclusion (EDI) in Technology Community and Rural Health Equity Her recent research explores EHR compatibility, mHealth adoption, and the social determinants of critical illness recovery. She develops tailored digital tools for patient self-management and integrates Indigenous knowledge frameworks into health informatics curricula. Her work emphasizes human-centered design, safety in clinical technology, and cross-sectoral collaboration. Dr. Currie's publications highlight partnerships with healthcare providers to address technology-related safety events, co-design of person-centered apps, and the impact of digital tools on nurse emotional exhaustion. She actively contributes to defining anti-stigma design guidelines and advancing fair classification systems in health equity.
Ying Alison Cheng is a Professor at the University of Notre Dame and Associate Director of the Lucy Family Institute for Data and Society. She is also a Fellow of the Institute for Educational Initiatives. Her work focuses on two key areas: psychological/educational measurement and learning analytics. She directs the LAMBS lab, which applies data mining to large-scale, multi-modal learning data and advances theoretical frameworks in item response theory (IRT), computerized adaptive testing (CAT), and cognitive diagnostic models. In measurement research, her interests include test equity, classification accuracy, and DIF analysis. For learning analytics, she explores process data from human-computer interactions and integrates self-report methods with performance outcomes. Her research bridges statistical rigor and practical applications in educational assessment. No scientific awards are explicitly listed in the provided text. Her advising and grants activities are not detailed here, though her lab's focus suggests collaborative projects in educational technology and psychometrics. The LAMBS lab serves as a hub for interdisciplinary research in behavioral sciences and data-driven education.
Scott Morris is a Professor and Nambury S. Raju Endowed Chair in Psychology at Illinois Institute of Technology (IIT), leading the Industrial/Organizational Psychology Program within the Lewis College of Science and Letters. He holds a Ph.D. from the University of Akron (1994) and a B.A. from the University of Northern Iowa (1987). A Fellow of the Society for Industrial and Organizational Psychology and the American Psychological Association, Morris is also an associate editor for the Journal of Applied Psychology . His research focuses on advanced statistical methods in personnel selection systems, including meta-analysis, adverse impact analysis, and computer adaptive testing. He explores bias in subjective hiring practices and develops psychometric models to ensure fairness in employment decisions. Morris’s work bridges quantitative methodology with real-world applications, emphasizing ethical and equitable employment practices. Key research areas include adverse impact measurement, meta-analytic techniques, differential item functioning, and the design of efficient testing systems. He co-authored Adverse Impact Analysis: Understanding Data, Statistics and Risk (2017), a foundational text in the field. Morris’s lab, the Personnel Selection & Analytics Lab , investigates topics like multidimensional adaptive testing and statistical methodologies for EEO compliance. Awards: Fellowships from SIOP and APA, recognition for contributions to organizational psychology and statistical rigor. Media Expertise: Regularly consulted on psychology, data science, and ethics in employment. Labs/Teams: Leads the IIT Personnel Selection & Analytics Lab, focusing on quantitative methods in HR and equity analysis.
Prof. Dr. Marcus Hasselhorn is Acting Director at DIPF | Leibniz Institute for Educational Research and Information and serves as a professor in the Department of Educational Psychology at Goethe University Frankfurt's Department 05 Psychology & Sports Science . His career spans over 25 years of leadership roles in educational research, including geschäftsführender Direktor (2012-2019) at DIPF and speaker of the Hessian LOEWE Center IDeA (2008-2019). Professor of Psychology (2007-present) at DIPF Former Director roles (2012-2019) and ongoing Scientific Board membership Leadership in Leibniz Research Network Bildungspotenziale (2013-2025) Research focuses on the ontogenesis of learning prerequisites , learning disorders , and educational diagnostics , particularly examining individual development and adaptive education for at-risk children. His recent work includes computerized learning assessment systems ( LONDI , iLearn ), language acquisition interventions ( BiSS-Transfer ), and inclusive education frameworks ( INCLASS ). Scientific engagement includes: President of German Psychological Society (2006-2008) Editorial leadership in Zeitschrift für Erziehungswissenschaft (2017-2024) Scientific Board member at IDeA Center (2008-present) Advisory roles in Mercator Institute (2013-present) and Kassel University Council (2010-present) Active in developing diagnostic tools like the Frostig Developmental Test of Visual Perception-3 and leading the BRISE initiative for early childhood education. Current projects address neurobehavioral development ( ReAL ), mental health in schools ( Mentale Gesundheit ), and language acquisition ( TRIO ).
Jinming Zhang is a Professor at the University of Illinois at Urbana-Champaign , affiliated with the College of Education and the Educational Psychology department. He also holds appointments in Statistics and the Center for East Asian and Pacific Studies . His research focuses on advanced statistical methodologies for educational and psychological measurement. Research Interests: Dr. Zhang specializes in multidimensional item response theory (MIRT) , dimensionality assessment , large-scale assessments , generalizability theory , and test security . His work addresses critical challenges in psychometric modeling, including bias correction, item compromise detection, and standards alignment for English Language Learners (ELL). Notable Contributions: He developed the DETECT procedure for dimensionality analysis and pioneered real-time item monitoring systems for computerized adaptive testing (CAT) security. His empirical studies span applications to the National Assessment of Educational Progress (NAEP) and Law School Admission Test (LSAT) analysis.
Patricia Martinkova is an Associate Professor at the Faculty of Education, Charles University , a Senior Researcher leading the Department of Statistical Modelling at the Institute of Computer Science, Czech Academy of Sciences , and an Affiliate Associate Professor at the University of Washington (Statistics and Social Sciences). She is also the founder of the Computational Psychometrics Group and the Center for Educational Measurement and Psychometrics at Charles University. Her research focuses on advanced psychometric models and estimators for granular insights in education, psychology, and health, with emphasis on inter-rater reliability , differential item functioning (DIF) , and reproducible research via tools like ShinyItemAnalysis . She has developed software packages ( difNLR , SIAmodules , SIAtools ) and authored the book Computational Aspects of Psychometric Methods. With R (2023). Recent projects include the 2025–2027 EduCoDe (Czech Science Foundation) and 2024–2028 Digital Technologies and Wellbeing (EU-funded). She has received recognition as a Fulbright Alumna (2013–2015) and organized the IMPS 2024 conference (570+ participants). Teaching includes courses on Statistical Methods in Psychometrics and Item Response Theory , incorporating active learning and R-based tools.
Hiroko H. Dodge is a Full Professor of Neurology at Harvard Medical School and serves as Director of Research Analytics at the Interdisciplinary Brain Center, Massachusetts General Hospital (MGH) in Boston, Massachusetts, USA. Her work bridges clinical neurology, data science, and epidemiology with a focus on dementia research. Dr. Dodge's research spans multiple critical areas in aging and cognitive decline, with particular emphasis on clinical trials (both behavioral and pharmacological) in dementia research. Her expertise includes the epidemiology of dementia, application of demographic methods to clinical fields, and advanced data science approaches to understanding cognitive aging. She has made significant contributions to understanding the relationship between social isolation and cognitive decline, as demonstrated through her leadership of the Internet-Based Conversational Engagement Clinical Trial (I-CONECT). Her work explores how social engagement, environmental factors, and nutritional status impact cognitive trajectories in older adults. Dr. Dodge has pioneered research on digital biomarkers for early detection of cognitive impairment, utilizing computerized cognitive testing, speech analysis, and facial expression recognition through projects like the ARMADA study. She has also investigated the role of environmental exposures such as air quality and lead in dementia risk. Editorial Board Member for The Journals of Gerontology Series B Editorial Board Member for Alzheimer's & Dementia Associate Editor for Alzheimer's & Dementia: Translational Research & Clinical Interventions Her research has been widely recognized, with 445 publications that have garnered over 15,000 citations. Dr. Dodge leads innovative clinical trials and methodology development for dementia research, including decentralized trial approaches and synthetic control methods that address challenges in contemporary Alzheimer's disease therapeutic development. She leads "Hiroko Hayama Dodge's Lab" which focuses on innovative approaches to dementia research, particularly through the integration of technology and clinical assessment. Her I-CONECT project, which investigates the impact of frequent social interactions via webcam/internet on cognitive function in socially isolated older adults, represents a novel approach to dementia prevention. Dr. Dodge collaborates extensively with researchers across multiple institutions, with notable partnerships at Oregon Health & Science University and other leading research centers.
Professor Stuart Johnstone is a prominent researcher and educator in the School of Psychology at the University of Wollongong. He has held academic positions at UOW since 1999, progressing from Lecturer to his current role as Professor since 2018. He previously served as Deputy Head of School (Teaching and Learning) from 2020-2023 and Acting Head of School in 2024. He also maintains a Visiting Professor position at Zhejiang Normal University's Faculty of Special Education since 2018. His educational background includes a PhD and Bachelor of Science (Honours Class I) from the University of Wollongong, followed by post-doctoral work at the University of Sydney's Department of Psychological Medicine. He is a Registered Psychologist with the Australian Health Practitioner Regulation Agency (2001-2022). Johnstone's research focuses on neurophysiological approaches to understanding and treating ADHD, particularly using brain electrical activity measures to improve assessment and diagnosis. His work spans biological psychology, psychophysiology, and developmental psychology, with emphasis on neurocognitive training interventions for children with ADHD. He has developed innovative approaches to ADHD assessment that incorporate EEG measurements alongside traditional clinical evaluations. His publication record demonstrates consistent focus on ADHD neurophysiology, with recent work expanding into cross-cultural applications, portable EEG technology for educational settings, and animal-assisted interventions. His research shows growing emphasis on practical applications of neurocognitive assessment and training, with increasing attention to remote delivery methods and cross-cultural validity of interventions. UOW Vice-Chancellors Award for Outstanding Achievement in Research Commercialisation (2013) UOW Vice-Chancellors Award for Global Strategy (2018) Johnstone actively supervises numerous PhD students, with current projects examining sleep patterns in ADHD, human-dog interactions for wellbeing, and test anxiety in school children. His research is supported by multiple grants including external funding from the Prevention Research Support Program and internal University of Wollongong grants focused on neurocognitive assessment and training. His work has strong international collaboration, particularly with Chinese institutions. He coordinates courses in Biological Psychology and Psychophysiology and has developed international educational programs in Singapore. His research group focuses on translating neurophysiological findings into practical assessment tools and interventions for ADHD, with recent work emphasizing portable technology and cross-cultural applications.
