جستجوی استاد راهنمای دانشگاهی

Ahmed Al-Jaishiمشاهده پروفایل

استاد مدعو

• Randomized clinical trials
• Cluster Randomized Trials
• Health Services Research
• +۲ مورد دیگر

Dr. Ahmed Al-Jaishi is an Adjunct Professor in the Department of Epidemiology and Biostatistics and a Research Scientist at the Schulich School of Medicine & Dentistry at Western University. He also holds positions as an Adjunct Scientist with ICES and Senior Epidemiologist at the Public Health Agency of Canada. Education: Ph.D. in Health Research Methodology, McMaster University (2021) M.Sc. in Epidemiology and Biostatistics, Western University (2013) B.Sc. in Biological Sciences, University of Guelph (2010) His research focuses on methodologies for pragmatic randomized controlled trials, with specialization in cluster-randomized designs. Primary research domains include: Clinical trial design and registry-based methodologies Health services research in nephrology (particularly hemodialysis) Population-based epidemiological studies Statistical methods for cluster trials Recent publications demonstrate strong thematic focus on hemodialysis care innovations, COVID-19 impacts on vulnerable populations, autism spectrum disorder epidemiology, and advanced statistical methodologies. Articles frequently utilize registry data, cluster-randomized designs, and health administrative databases across Canadian and international contexts. Dr. Al-Jaishi is actively engaged in training future epidemiologists and biostatisticians through hands-on mentorship in advanced research methodologies.

Iraklis Lazakisمشاهده پروفایل

مدرس ارشد

• Maritime Operations
• Ship Systems Maintenance and Reliability
• Condition Monitoring
• +۱۲ مورد دیگر

Iraklis Lazakis is a Reader in Maritime Operations and Maintenance at the Department of Naval Architecture, Ocean and Marine Engineering (NAOME), within the Faculty of Engineering at the University of Strathclyde. He joined the university as a PhD researcher in 2007 and began his academic career in 2011, establishing himself as a key figure in maritime systems research and education. His research interests span a broad range of topics including ship operations, systems maintenance and reliability, condition monitoring, risk and asset management, shipyard productivity, and offshore renewable energy systems (wind, wave, and tidal). His work bridges academic theory with industrial application, drawing from his 8 years of prior industry experience in maritime surveys, accident investigations, and ship repairs. The trends in his recent publications reflect a strong focus on data-driven and digital solutions for sustainable maritime operations. Key themes include the development of simulation and optimization tools, application of virtual reality for safety, cost reduction in offshore wind O&M, and decarbonization strategies such as onboard CO2 capture. His work increasingly integrates AI, digital twins, and human factors to enhance system performance and crew wellbeing. He has received numerous accolades, including: SNAME Faculty Advisor of the Year (2024) SNAME WES Best Paper Award (2023) Multiple Knowledge Transfer Partnerships Certificates of Excellence (2020, 2022) Laureate of the Franz Edelman Award (2012) ISSC Committee IV.2 Membership (2012–2015) Lazakis actively supervises undergraduate, postgraduate, and PhD students, and leads or contributes to a wide portfolio of research and knowledge exchange projects. His recent projects include decarbonizing UK shipping, structural surveys of vessels like Calmac and the Royal Yacht Britannia, and development of low-cost underwater gliders. He plays a strategic role in supporting colleagues with funding applications, publications, and industry collaboration. His work contributes to UN Sustainable Development Goals related to sustainable energy and industry innovation.

Gaurav Nandaمشاهده پروفایل

استادیار

• Applied Machine Learning
• Natural Language Processing
• Decision Support Systems
• +۴ مورد دیگر

Gaurav Nanda serves as an Assistant Professor in the School of Engineering Technology at Purdue University, where he leads research at the intersection of artificial intelligence and human-centered systems. His work develops intelligent decision support frameworks applicable across critical domains including occupational safety, smart manufacturing infrastructure, healthcare analytics, and educational technology. Education Background Ph.D. in Industrial Engineering, Purdue University Dual Degree: B.Tech. and M.Tech. in Agricultural and Food Engineering (Major) with Electrical Engineering Minor, Indian Institute of Technology Kharagpur His research program integrates applied machine learning and natural language processing to solve complex problems in safety analytics (injury surveillance systems), Industry 4.0 (IoT-enabled manufacturing), healthcare (breast cancer prediction models), and STEM education (MOOC feedback analysis). Current projects emphasize human-AI collaboration, with growing focus on ethical AI implementation and social justice integration in engineering contexts. The INDESS Research Group he directs develops systems that balance algorithmic precision with human factors considerations. Recent publications (2023-2025) demonstrate accelerating adoption of large language models and vision-language systems across application domains, particularly in safety analytics and educational technology. Key trends include human-in-the-loop validation frameworks, explainable AI interfaces, and multimodal data integration (eye-tracking, text, sensor data). His work increasingly addresses fairness considerations in AI deployment, especially regarding diversity in engineering education and workplace safety systems. Dr. Nanda actively mentors the next generation of engineers through the INDESS Research Group , advising Ph.D. candidates Madhumathi Ponnusamy and Shuning Yin, while previously supervising Master's graduates including Srushti Vichare and Meet Suthar. His research receives support through Purdue-affiliated institutes including ICON (Control/Optimization Networks), RDE (Digital Enterprise), and FWL (Future Work/Learning). He maintains active service roles as Editorial Board Member for the International Journal of Industrial Ergonomics and as reviewer for leading publications including IEEE Transactions on Learning Technologies and Safety Science. The research group maintains strong industry connections through the Purdue School of Engineering Technology, with projects spanning manufacturing automation, healthcare informatics, and educational technology platforms. Current initiatives focus on real-time anomaly detection systems, ethical AI frameworks for safety-critical applications, and inclusive curriculum development for engineering education.

Bahman Rostami-Tabarمشاهده پروفایل

استاد

• Probabilistic Forecasting
• Time Series Forecasting
• Forecasting for Social Good
• +۱۵ مورد دیگر

Bahman Rostami-Tabar is Professor of Analytics and Decision Sciences at Cardiff Business School, Cardiff University, UK. He is the founder and director of the Data Lab for Social Good and the founder and chair of the Forecasting for Social Good (F4SG) initiative sponsored by the International Institute of Forecasters. He also leads the 'Uncertainty & the Future' theme at the Digital Transformation Innovation Institute. His research spans probabilistic forecasting, operational research, and data science with applications in healthcare, humanitarian logistics, and sustainable development. Research Interests: His work emphasizes transforming data into insights for decision-making under uncertainty. His research is structured into three pillars: (1) Conceptual work on forecasting for social good and the UN Sustainable Development Goals; (2) Methodological innovations in temporal aggregation, hierarchical forecasting, and machine learning for time series; and (3) Applications in healthcare operations, global health, and humanitarian supply chains. He has collaborated with organizations such as the NHS, USAID, ICRC, and JSI. Publication Trends: His recent publications (2023–2025) focus on probabilistic forecasting in healthcare (e.g., emergency department arrivals, trauma networks), hybrid machine learning models for humanitarian demand, and the societal role of forecasting. There is a strong emphasis on real-world impact, with applications in public health, supply chain resilience, and data-driven policy. Scientific Awards: Goodeve Medal, Operational Research Society, UK (2024) Fellowship, Institute of Advanced Studies, Montpellier, France (2024) Public Value Fellow, Cardiff Business School (2021) Associate Fellow, NHS-R community (2021) MIM best paper award (IFAC, 2013) Best Track Paper Award, International Symposium on Industrial Engineering and Operations Management (2017) Supervision and Grants: He actively supervises PhD students in forecasting, healthcare systems, and supply chains. He leads the 'Democratising Forecasting' project, delivering free R-based forecasting training in developing countries. He also chairs the F4SG Research Grant program, awarding $5,000 to researchers in low- and lower-middle-income countries for socially impactful forecasting research. Labs and Teams: He founded and directs the Data Lab for Social Good at Cardiff Business School and leads the international Forecasting for Social Good network, which includes learning labs, hackathons, and a forecasting book club to foster global collaboration.

Per-Olov Östbergمشاهده پروفایل

دانشیار

• Distributed Systems
• Cloud Computing
• Autonomous Resource Management
• +۷ مورد دیگر

Per-Olov Östberg is an Associate Professor at the Department of Computing Science, Umeå University, and a research leader in the Autonomous Distributed Systems Lab (ADSLab). His work focuses on resource management for distributed cloud environments using AI/ML-based techniques, with a particular emphasis on ethical reasoning integration for responsible AI solutions. Research Themes: Cloud-edge continuum optimization, serverless frameworks, 6G computing challenges, data fabric architectures, and energy-aware systems Projects: COGNIT (cognitive serverless framework), WARA Common Information Bridge (data-driven cloud operations), De facto Center of Excellence in Autonomous Distributed Systems His publications (2011-2024) demonstrate consistent contributions to cloud resource management, including fairshare scheduling, decentralized prioritization, and power-performance tradeoffs. He has collaborated on interdisciplinary projects with institutions across Europe. Scientific Awards: None explicitly stated in provided information.

Josep M. Font-Llagunesمشاهده پروفایل

استاد

• Rehabilitation Robotics
• Biomechanics of Human Movement
• Multibody System Dynamics
• +۱۲ مورد دیگر

Josep M. Font-Llagunes is a Full Professor of Mechanical Engineering at the Polytechnic University of Catalonia (UPC), where he leads the Biomechanical Engineering Lab (BIOMEC) within the Research Centre for Biomedical Engineering (CREB). His work bridges engineering and clinical rehabilitation, focusing on robotics, biomechanics, and computational modeling for human movement disorders. His research interests include rehabilitation robotics, biomechanics of human movement, multibody system dynamics, gait analysis, wearable exoskeletons, and neuromuscular rehabilitation. He employs advanced computational techniques to model human motion and optimize assistive devices, with a strong emphasis on clinical translation. The trends in his recent publications highlight a focus on predictive simulation of human movement, clinical evaluation of exoskeletons, musculoskeletal modeling, and upper limb assessment in neuromuscular diseases. His work integrates biomechanical modeling with wearable sensor technology and virtual reality to enhance rehabilitation outcomes. Agustín de Betancourt y Molina Medal by the Royal Academy of Engineering (2017) OpenSim Outstanding Researcher Award (2018) He actively mentors students and collaborates on numerous research projects involving PhD candidates and postdoctoral researchers. His lab conducts clinical trials and develops novel computational protocols for prosthetic alignment, exoskeleton control, and muscle force estimation. The Biomechanical Engineering Lab (BIOMEC) at UPC is a key hub for innovation in rehabilitation technology, focusing on personalized, evidence-based solutions for gait and upper limb rehabilitation.

Crystal Fausettمشاهده پروفایل

استادیار

• Human-Centered Cybersecurity
• Human-Computer Interaction
• Research Methods
• +۶ مورد دیگر

Dr. Crystal Fausett is an Assistant Professor in the School of Information at San José State University. Her academic work bridges human factors, cybersecurity, and human-computer interaction, with a strong focus on how individuals and teams interact with technology in high-stakes environments such as healthcare, emergency services, and cyber operations. She teaches courses including ISDA 121 – Human Centered Cybersecurity and ISDA 130 – User Centered Interface Architecture and Prototyping, reflecting her interdisciplinary expertise. Ph.D. in Human Factors, Embry-Riddle Aeronautical University (2024) M.S. in Human Factors, Embry-Riddle Aeronautical University (2022) B.A. in Psychology, San José State University (2020) A.A. in Social and Behavioral Sciences, Santa Barbara City College (2018) Her research interests include human-centered cybersecurity, human-computer interaction, usability and UX design, teamwork and transactive memory systems, training methodologies (particularly simulation-based), and information behavior across diverse user groups such as healthcare providers, cyber defenders, and naval personnel. She applies both qualitative and quantitative methods, including expert interviews, board game simulations, and meta-analytic techniques. The recent publications highlight a strong trend in applying human factors principles to cybersecurity team performance, adaptive training, and healthcare safety. Her work increasingly explores innovative methods such as gamified simulations to study team dynamics and cognitive load in complex operational environments. There is a consistent emphasis on improving system efficiency, safety, and collaboration through human-centered design. Dr. Fausett has no listed scientific awards in the provided text. She has served as an Instructor of Record in Human Factors and Behavioral Neurobiology at Embry-Riddle Aeronautical University (2023–2024) prior to her current role. There is no mention of current grant funding or student advising in the provided materials. Her research often involves collaboration with experts in human factors and healthcare, particularly Dr. Joseph R. Keebler and Dr. E. Salas, suggesting active participation in research teams focused on team performance and safety-critical systems. She is involved in research labs or teams centered on human factors in cybersecurity and healthcare, particularly through collaborative projects involving simulation-based training and team cognition studies. Her use of board games like [d0x3d!] as experimental testbeds indicates innovative lab-based methodologies for studying real-world team interactions in controlled environments.

• Health Communication
• Public Health Messaging
• Media Effects
• +۵ مورد دیگر

Laura Crosswell serves as Associate Professor of Health Communication and Director of the Center for Advanced Media Studies at the University of Nevada, Reno's Reynolds School of Journalism and Media Studies. She holds a joint appointment with the university's School of Medicine, reflecting her interdisciplinary approach to health communication research. Crosswell previously taught at the College of Charleston, Louisiana State University, and Arizona State University before joining UNR. Her research focuses on the intersection of consumerism, persuasive texts, and public health messaging, with particular attention to how commercial interests influence health communication. Crosswell frequently employs advanced eye-tracking technology to examine physiological and psychosocial responses to media content, especially in pharmaceutical advertising and public health campaigns. Her book Politics, Propaganda, and Public Health: A Case Study in Health Communication and Public Trust analyzes Merck's Gardasil vaccination campaign, exploring how corporate interests shape public health messaging. Crosswell's recent publications reveal consistent focus on contemporary health communication challenges, particularly surrounding the COVID-19 pandemic, vaccine hesitancy, and environmental health risks. Her work spans multiple disciplines including communication, public health, psychology, and medical education, often employing innovative methodologies like virtual reality simulations and biometric measurement. Recipient of Organizational Behavior Management (OBM) Innovative Research Award, 2023 Co-author of scholarly book on pharmaceutical marketing and public health trust Regular contributor to journals including Critical Public Health , Public Health Perspectives , and Journal of Environmental Studies and Sciences Crosswell has received recognition for her innovative research approaches that bridge communication theory with practical health applications. Her work examining virtual reality applications in healthcare education demonstrates her commitment to developing new methodologies for training healthcare professionals. With numerous forthcoming publications for 2025, she remains an active contributor to the field of health communication research.

Kevin S. LaBarمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Emotional Memory
• Fear Conditioning
• +۸ مورد دیگر

Kevin S. LaBar is Professor of Psychology and Neuroscience and Professor in Psychiatry and Behavioral Sciences at Duke University's Trinity College of Arts & Sciences. He serves as Associate Director of the Center for Cognitive Neuroscience and maintains affiliations with the Duke Initiative for Science & Society, the Center for Brain Imaging and Analysis, and the Center for Cognitive Neuroscience. His academic journey began with a B.A. from Lafayette College in 1990, followed by a Ph.D. from New York University in 1996. Dr. LaBar's research focuses on understanding how emotional events modulate cognitive processes in the human brain. His laboratory aims to identify brain regions that encode the emotional properties of sensory stimuli and demonstrate how these regions interact with neural systems supporting social cognition, executive control, and learning and memory. His integrative approach utilizes psychophysiological monitoring, functional magnetic resonance imaging (fMRI), machine learning, and behavioral studies in both healthy adults and psychiatric patients. His work spans multiple domains including fear conditioning, emotional memory, emotion regulation, and the neural basis of emotional experience. His recent publications reveal a strong emphasis on emotional memory mechanisms, emotion regulation strategies across the lifespan, neural correlates of anxiety and fear, and developing neuroscience-informed interventions for emotional dysregulation. His research increasingly incorporates advanced neuroimaging techniques, computational approaches, and translational applications for clinical populations. Fellow, Association for Psychological Science (2010) Young Investigator Award, Cognitive Neuroscience Society (2005) CAREER Award, National Science Foundation (2003) Ralph E. Powe Junior Faculty Enhancement Award, Oak Ridge Associated Universities (2001) Young Investigator Award, National Alliance for Research on Schizophrenia and Depression (2000) Scholar of the Year Award, Lafayette College Alumni Association (1990) Dr. LaBar has secured substantial research funding, including multiple NIH grants and VA awards, with projects spanning from basic emotion research to clinical applications for conditions like PTSD, depression, and misophonia. His laboratory has trained numerous graduate students and postdoctoral fellows who have gone on to successful careers in academia and research. His work bridges cognitive neuroscience with clinical applications, particularly in developing neurostimulation-enhanced behavioral interventions for emotion dysregulation.

• Industry 4.0
• Internet of Things (IoT)
• OT/IT Integration
• +۴ مورد دیگر

Prof. Dennis Kolberg serves as Professor of Industrial Engineering at Lübeck University of Applied Sciences, holding dual leadership roles as Head of Industrial Engineering Bachelor/Master programs and Head of the Institute for Entrepreneurship and Business Development (IEBD). His career uniquely bridges academic research and industry implementation, with recent executive experience as Chief Product Officer at DIGIMONDO (2020-2023) and co-founding SPARETECH (2019). M.Sc. Industrial Engineering, University of Bremen (2007-2014) Ph.D. in Industrial Engineering, Technical University of Kaiserslautern (2014-2018) focusing on Industry 4.0 and Lean Management Vocational Training as Industrial Clerk, RK Rose+Krieger (2004-2007) His research pioneers the integration of lean production methodologies with digital technologies , specializing in Industry 4.0 implementation and OT/IT convergence for manufacturing environments. Key contributions include developing reference architectures for cyber-physical production systems and optimizing human-machine interfaces through lean automation principles. Current work emphasizes digital transformation in B2B contexts , particularly for software startups in industrial settings. Publications from 2015-2022 reveal a consistent trajectory from foundational CPS architectures toward applied IoT solutions, with recent focus on digital twins for production optimization. His work consistently bridges theoretical frameworks and practical implementation , demonstrating how lean principles enhance digital transformation outcomes in manufacturing. Kolberg actively supervises bachelor's and master's theses at Lübeck University of Applied Sciences, with students registering via email for thesis topics. His industry background informs practical research directions, though specific grant funding isn't detailed in available sources. As IEBD Director, he drives academic-industry partnerships focused on digital entrepreneurship. Leading the Institute for Entrepreneurship and Business Development, Kolberg oversees initiatives connecting academic research with business development in digital manufacturing. Previously at DFKI's SmartFactory KL, he directed research on changeable cyber-physical production systems, establishing methodologies now applied in his current industry collaborations.

Heather Petcovicمشاهده پروفایل

استاد

• Geoscience Education
• Field-Based Learning
• Cognitive Development in Geology
• +۳ مورد دیگر

Dr. Heather Petcovic is Chair and Professor in the Department of Geological and Environmental Sciences at Western Michigan University, with a joint appointment in the Mallinson Institute for Science Education. Her research bridges geoscience and education, focusing on field-based learning, cognitive development, and K-12 teacher training. Ph.D., Oregon State University (2004) M.S., Oregon State University (2000) B.A., Smith College (1995) Her research explores how field experiences shape geoscientists' cognition, integrating mixed methods to study spatial reasoning, mental models, and instructional design. She leads NSF-funded initiatives to democratize geoscience education at two-year and minority-serving institutions. Recent publications highlight her expertise in spatial thinking, virtual field experiences, and hydrogeology pedagogy. Awards include the National Association of Geoscience Teachers' Distinguished Lecturer. She mentors graduate students and contributes to geoscience education policy through roles like former associate editor for the Journal of Geoscience Education .

Aleksandra Sarcevicمشاهده پروفایل

استاد

• Computer Science
• Human-Computer Interaction
• Healthcare Informatics
• +۷ مورد دیگر

Aleksandra Sarcevic is a Professor of Information Science at Drexel University's College of Computing & Informatics (CCI), where she directs the Interactive Systems for Healthcare (IS4H) Research Lab. She earned her PhD (2009) and MLIS (2005) from Rutgers University's School of Communication and Information, and holds a BA in Film and TV Production from the University of Arts, Belgrade. PhD, Communication, Information and Library Studies MLIS, Library and Information Science BA, Film and TV Production Her research focuses on computer-supported cooperative work (CSCW) , human-computer interaction (HCI) , and healthcare informatics , with specializations in: Collaboration in high-risk environments Medical team coordination Context-aware systems for critical care Crisis informatics Socio-technical system design Recent publications examine AI-enabled decision support , PPE compliance monitoring , and real-time clinical alert systems , with funding from NIH , NSF , and AHRQ . She received the NSF CAREER award in 2013 and mentors both current and graduated PhD students in interdisciplinary research. The IS4H lab develops interactive healthcare systems for trauma resuscitation and infection control, employing ethnographic methods and sensor-based activity recognition to improve medical team performance.

George Streftarisمشاهده پروفایل

استاد

• Bayesian Statistics
• Epidemiology
• Actuarial Science
• +۳ مورد دیگر

Professor George Streftaris is a faculty member at Heriot-Watt University within the Actuarial Mathematics and Statistics department under the School of Mathematical and Computer Sciences . His academic career spans over two decades, including roles as associate professor and lecturer at Heriot-Watt University (2004-2019) and post-doctoral positions at BioSS and Heriot-Watt (2001-2004). He serves on the Board of Examiners for the Institute and Faculty of Actuaries and acts as an external examiner for multiple institutions. Professional memberships include Fellow of the Royal Statistical Society , member of the International Society for Bayesian Analysis , and the Greek Statistical Institute . Education: PhD in Statistics (University of Edinburgh) MSc in Statistics and OR (University of Essex, Distinction) BSc in Statistics and Actuarial Science (University of Piraeus, Greece) Research Interests: Streftaris specializes in Bayesian stochastic modeling , inference, and assessment at the intersection of statistics, epidemiology, and actuarial science. His work addresses critical illness insurance, longevity risk, and health-related insurance through predictive modeling and statistical machine learning. Key themes include disease transmission dynamics, model diagnostics, and uncertainty quantification in epidemic systems. Collaborations extend to life and biomedical sciences. Recent Publications: Recent articles focus on COVID-19 pandemic impacts on breast cancer mortality using semi-Markov models, neural network approaches for admission rate prediction, and Bayesian modeling of epidemic systems. Notable projects involve machine learning for multi-asset strategies, model uncertainty in insurance pricing, and stochastic frameworks for disease spread. Research Projects: Centers of Actuarial Excellence (SOA, 2019-2023): Predictive modeling for medical morbidity risk SCOR Foundation of Science (2022-2024): Breast cancer life insurance impact ARC Project (IFoA, 2016-2022): Longevity and morbidity risk management The Data Lab (2017-2018): Machine learning for multi-asset strategies Advising: Supervises ongoing PhD students in Bayesian and neural network modeling in epidemiology, with completed students working on topics like critical illness insurance, disease transmission, and stochastic mortality. Collaborations include researchers in the UK, USA, and international institutions.

Brian Hanleyمشاهده پروفایل

دانشگاهی

• Sport Biomechanics
• Human Gait Analysis
• Athletics Science
• +۳ مورد دیگر

Brian Hanley is a Reader in Sport and Exercise Biomechanics at Leeds Beckett University , affiliated with the Carnegie School of Sport and Centre for Sports Performance . He lectures on biomechanics of health, sports injury, and human gait. Education: Applied Physiology, Carlow Institute of Technology First-class Honours in Sport and Exercise Science, Leeds Metropolitan University PhD, Leeds Beckett University (Biomechanical Analysis of Elite Race Walking) First-class Honours in Psychology, Open University Brian's research focuses on track and field athletics , with emphasis on biomechanics of technique, pacing strategies, athlete development, sports technology, and training methods. He specializes in distance running and race walking , particularly analyzing real-world data from elite competitions. His recent publications explore diverse topics including gait parameter validity, footstrike patterns, pacing optimization in 400m/1500m events, kinematic differences in 10,000m runners, and the impact of super shoes on marathon performance. These studies highlight his expertise in translating lab-based findings to field applications. Brian serves as an external consultant for European Athletics on high-performance development programs and collaborates with elite athletes globally. His work bridges academic research with practical coaching applications, notably through the Centre for Human Performance at Leeds Beckett.

Yan Xiaمشاهده پروفایل

دانشیار

• Statistical Methods for Structural Equation Modeling
• Item Response Theory
• Categorical Data Analysis
• +۳ مورد دیگر

Dr. Yan Xia is an Associate Professor in the Department of Educational Psychology at the University of Illinois at Urbana-Champaign. He holds a Ph.D. in Educational Psychology and Learning Systems from Florida State University and completed a postdoctoral fellowship at Arizona State University's T. Denny Sanford School of Social and Family Dynamics. Key research areas: Statistical methods for structural equation modeling, item response theory, categorical/nonnormal/missing data analysis, and applications in special education, child development, organizational behavior, and sports psychology. Current appointments: Faculty, College of Education, University of Illinois (since 2025). Recent contributions: 2025 Monte Carlo simulation on developmental research generalizability, 2024 work on parallel analysis improvements, and meta-analysis of autism eye-tracking studies. His methodological work critically examines fit indices like RMSEA, CFI, and TLI in ordered categorical data contexts. Collaborations span autism research, educational interventions, and cross-cultural studies. Publications demonstrate expertise in DWLS/ULS estimation, factor retention, and missing data techniques. Scientific awards: Not explicitly mentioned in provided texts. Advising: Accepts new graduate students (2025). No student list provided.