جست‌وجوی استاد و پژوهشگر

• Neurodevelopmental disorders
• ADHD research
• Remote measurement technology
• +۵ مورد دیگر

Professor Jonna Kuntsi is a leading researcher in developmental disorders and neuropsychiatry at King's College London's Institute of Psychiatry, Psychology & Neuroscience, where she holds a professorship in the Social, Genetic & Developmental Psychiatry Centre. With extensive training including BSc, MSc, and PhD from University College London and clinical experience at Great Ormond Street Hospital for Children, she has established herself as a prominent figure in ADHD research globally. Her research primarily focuses on attention deficit hyperactivity disorder (ADHD) and related conditions, with particular expertise in neurodevelopmental disorders, remote measurement technology applications, developmental trajectories, preterm birth associations, and the effects of physical activity on cognition and ADHD symptoms. Professor Kuntsi has pioneered the ADHD Remote Technology (ART) research programme, securing substantial funding including £4 million from the UK Medical Research Council and European Commission for innovative projects like ART-transition and ART-CARMA. Her publication record demonstrates consistent high-impact research across multiple domains of ADHD investigation, with recent work emphasizing digital phenotyping, remote monitoring technologies, and the developmental aspects of ADHD across the lifespan. This research portfolio shows a clear trajectory toward increasingly sophisticated technological approaches to understanding and managing ADHD. Co-Chair of EUNETHYDIS - the European Network for ADHD Member of the European ADHD Guideline Group (EAGG) Principal Investigator in International Multi-centre Persistent ADHD Collaboration (IMpACT) Steering committee member of ECNP ADHD across the Lifespan Network Steering committee member of ECNP Digital Health Applied to Clinical Research Network Professor Kuntsi actively collaborates with patient support organizations including ADHD Europe and the UK ADHD Information and Support Service (ADDISS), and with technology companies like Empatica and The Hyve. She serves as Chair of the PhD Subcommittee across Departments of Social, Genetic & Developmental Psychiatry and Biostatistics & Health Informatics, demonstrating her commitment to mentoring the next generation of researchers while leading multiple international research networks that advance both scientific understanding and clinical practice in ADHD.

Chun Wangمشاهده پروفایل

استاد

• Quantitative Research Methods
• Item Response Theory (IRT)
• Computerized Adaptive Testing (CAT)
• +۳ مورد دیگر

Chun Wang is a Professor in the Department of Measurement & Statistics at the University of Washington's College of Education. His research focuses on advancing quantitative methods in educational and psychological measurement, with expertise in item response theory (IRT), computerized adaptive testing (CAT), and cognitive diagnostic modeling. He holds affiliate faculty status at the Center for Statistics and the Social Sciences. Education: B.S. in Psychology, Peking University (China) M.S. and Ph.D. in Quantitative Psychology, University of Illinois at Urbana-Champaign Research Interests: Development and validation of multidimensional/mixture IRT models Computerized adaptive testing optimization Cognitive diagnostic modeling for classroom applications Health measurement and bias detection in assessments Recent Trends in Articles: His work bridges statistical innovation with practical applications, emphasizing fairness and efficiency in assessments. Notable areas include: - Healthcare : Predictive models for discharge disposition and functional outcomes - Education Technology : Adaptive learning systems and diagnostic feedback mechanisms - Methodology : Bias detection (DIF), Bayesian estimation techniques, and computational efficiency Scientific Awards : Includes the Anne Anastasi Award (2020), McKnight Presidential Fellowship (2017), and multiple best reviewer recognitions from leading psychometrics journals. Advising & Grants: Supervised students including Xiao J., Zhu R., and Lu J.* in high-impact projects. Co-led a $10M NIH grant (AmplifyGAIN Center) to advance Gen AI in STEM education. Published extensively in Psychometrika , Journal of Educational and Behavioral Statistics , and other top outlets. Labs/Teams: Directs the Pmetrics Lab ( https://sites.uw.edu/pmetrics/ ), collaborating on cutting-edge measurement tools for education and healthcare.

David Clingingsmithمشاهده پروفایل

دانشیار

• Economic History
• Social Economics
• Labor Economics
• +۶ مورد دیگر

David Clingingsmith is an Associate Professor in the Department of Economics at the Weatherhead School of Management, Case Western Reserve University, where he has been faculty since 2007. His research integrates economic theory with empirical analysis across diverse domains including automation, entrepreneurship, and social behavior. Education: PhD in Economics, Harvard University (2007) MA in Anthropology, University of Chicago (1998) BA, University of Toronto (1994) His research program explores the socioeconomic impacts of technological change, particularly how automation transforms manufacturing work and entrepreneurship. He employs mixed methodologies spanning causal inference econometrics, lab/field experiments, and qualitative analysis, with recent work developing AI techniques for analyzing interview corpora. Current projects examine job design in craft entrepreneurship and historical automation effects. Publication trends reveal strong focus on automation's economic consequences (2022-2024), pitch dynamics in entrepreneurship (2018-2023), and crisis policy responses (2020). His work consistently bridges economic history with contemporary issues, showing particular interest in behavioral mechanisms underlying status, consumption, and charitable behavior. Scientific Awards: Academy of Management Prize for Best Paper in Organizational Neuroscience (2021) Academy of Management Lewis-Progressive Fellowship (2016) Weatherhead School of Management Explorations Prize (2009) Dr. Clingingsmith serves as reviewer for top journals including Journal of Political Economy and Quarterly Journal of Economics, and participates in institutional governance through the Academic Integrity Board. While no specific grants are detailed in source materials, his research appears in leading outlets like Management Science and Experimental Economics. He also contributed COVID-19 policy analysis through Economic Policy Ideas for COVID-19 initiatives. He collaborates with interdisciplinary teams including healthcare economists (Helper, Shane) and development researchers (Khwaja, Kremer), and maintains an active ceramics practice at Brick Ceramic + Design studio since 2023.

• Control Systems
• Biomechanics
• Neuroprosthetics
• +۴ مورد دیگر

Raviraj Nataraj is an Associate Professor in the Department of Biomedical Engineering at Stevens Institute of Technology, leading the Movement Control Rehabilitation (MOCORE) Laboratory. He holds a PhD from Case Western Reserve University (2010) and an MS from Stanford University (2003). His research focuses on integrating control systems with assistive technologies to enhance motor function recovery for individuals with neurotrauma, including spinal cord injury, stroke, and amputation. Key areas include wearable sensors, virtual reality environments, and neuroprosthetics. Education: PhD in Biomedical Engineering, Case Western Reserve University (2010) MS in Mechanical Engineering, Stanford University (2003) Research interests emphasize sensory feedback mechanisms, cognitive factors in motor rehabilitation, and the development of personalized computerized interfaces. His lab creates instrumented wearables and VR tools to improve functional movement. Recent work includes optimizing feedback modalities for upper-limb rehabilitation and studying neural responses to altered visual feedback. Notable awards include the NSF CAREER Award (2023) and Stevens’ Harvey Davis Distinguished Teaching Award. He has secured grants from NSF, Department of Veterans Affairs, and New Jersey Health Foundation for projects like ‘Personalizing sensory-driven interfaces for motor rehabilitation’. Professional roles include NIH Review Panelist and Associate Editor for Frontiers of Medical Engineering. He chairs Stevens’ Institutional Review Board and oversees BME faculty searches. The MOCORE Lab (www.mocorelab.com) collaborates on clinical solutions like the ‘Cognition Glove’ and muscle-training braces.

• Human Factors Engineering
• Neuroergonomics
• Robotic Surgery
• +۳ مورد دیگر

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.

Dele Owodunniمشاهده پروفایل

مدرس ارشد

• Design and Manufacturing
• Computer-aided Design (CAD)
• Aerospace Manufacturing
• +۴ مورد دیگر

Dr. Dele Owodunni is a Senior Lecturer in Mechanical Engineering and Programme Leader of the MSc Mechanical Engineering at the University of Chester. He specializes in Design and Manufacturing, focusing on socially-responsible computerization of engineering processes based on law-like principles. His research includes developing taxonomies for design shapes and advancing sustainable manufacturing practices. Dr. Owodunni has secured over £100,000 in UK funding for research and enterprise activities. His work emphasizes improving design for manufacturing (DFM) in aerospace contexts, defect data management, and energy efficiency in machining. He has supervised PhD students and contributed to collaborative knowledge-sharing frameworks in manufacturing. His research interests span feature recognition in CAD/CAM, process optimization, and sustainability. Notable contributions include frameworks for micro-blogging in knowledge sharing and energy-efficient machining strategies. He actively engages in enterprise activities and has over 15 years of experience in UK academia and industry.

• Clinical Psychology
• Forensic Psychology
• Neuropsychology
• +۱۲ مورد دیگر

Carolina Dall'Antonia da Motta is an Assistant Professor and researcher at Universidade Lusófona Lisboa, with a focus on clinical psychology, forensic psychology, and neuropsychology. She is also a collaborator at the University of Coimbra's Center for Research in Neuropsychology and Cognitive and Behavioral Intervention (CINEICC). Her academic roles include directing the Master's in Forensic Psychology and coordinating curricular internships at Universidade Lusófona. Education : PhD in Psychology, Master's in Psychology, and certifications in digital transformation and machine learning from MIT. Her research interests center on emotional intelligence, stress in neurodegenerative conditions, paranoid ideation, and psychometric assessment. She explores the interplay between cognitive-behavioral mechanisms and mental health outcomes, particularly in adolescence and schizophrenia. Recent articles address emotional regulation in self-injury, stress models in multiple sclerosis, PTSD mechanisms, and psychometric adaptations of clinical tools. These works reflect her commitment to advancing psychological assessment and intervention frameworks. She co-supervises a doctoral thesis and multiple master's dissertations, with a track record of 20 completed master's. Her scientific output includes 47 peer-reviewed articles, 11 book chapters, and 4 books, alongside participation in 35 events and leadership in collaborative research projects. Carolina is President of Casa Qui (an IPSS) and contributes to developing cognitive-behavioral rehabilitation programs like "Ancoragem" for schizophrenia caregivers. She also engages in translating and validating international psychological instruments for Portuguese populations.

• Clinical Pharmacy
• Medication Safety
• Pediatric Pharmacology
• +۵ مورد دیگر

Maxime Thibault is a Clinical Associate Professor at the Université de Montréal, affiliated with the Faculty of Medicine and the Department of Anesthesiology and Pain Medicine. His research focuses on clinical pharmacy, medication safety, pediatric pharmacology, healthcare technology, and process improvement in healthcare systems. He has contributed to advancements in machine learning applications for medication order review, parenteral nutrition management, and opioid crisis mitigation strategies. His work bridges clinical practice, technology, and patient outcomes through rigorous methodological approaches including mixed-methods evaluations, retrospective cohort studies, and pilot trials. Professional interests also extend to healthcare workforce adaptations during pandemics and the ergonomic design of hospital environments. Key research themes include optimizing pharmacist workflows via AI-driven tools, reducing medication errors through CPOE systems, and managing controlled substances to address opioid misuse. He has pioneered studies on neonatal cholestasis and parenteral nutrition-associated liver disease, emphasizing evidence-based interventions such as ursodeoxycholic acid therapy. His work integrates quantitative analyses (e.g., GANomaly algorithms for anomaly detection) with qualitative insights from healthcare professionals and patients. Dr. Thibault collaborates across disciplines, engaging in national and international comparisons of pharmaceutical practices (e.g., France-Québec medication validation comparisons). He actively participates in healthcare policy discussions related to medication safety, telehealth implementation, and the economic implications of automation in pharmacy compounding. His contributions reflect a commitment to translating technological innovations into actionable solutions for improving patient care and clinical outcomes.

• Metrology
• Electromagnetic Field Measurement
• Power Quality
• +۴ مورد دیگر

Prof. Plamen Tsvetkov is a faculty member at New Bulgarian University (NBU) in the Department of Telecommunications since 2013. He previously held roles at Technical University of Sofia (1986–2019), including Head of the Department of Electrical Metrology (2004–2019). His academic career spans over 35 years in teaching and research. Education : PhD in Electrical Metrology from Technical University of Sofia (1998), specializing in robust structures for measurement systems. Research Interests : Metrology and calibration of measurement devices Power quality and electromagnetic field analysis Design of information-measurement systems Robust structures for measurement accuracy Applications in telecommunications and computer technology Recent Work Trends : His 15 most recent publications focus on power quality calibration methods, 4G/5G network protocols, and advanced signal processing techniques. Collaborations with international researchers emphasize standards like BDS EN 50160 and tools such as LabVIEW and MATLAB. Scientific Awards : Silver Medal, Technical University of Sofia Grants and Projects : Led 8 international projects and participated in over 30, including EU-funded initiatives on measurement standards and power quality. He also contributed to educational reforms in electrical engineering curricula. Publications and Leadership : Authored over 20 books and 130+ publications, with 15+ indexed in Scopus/Web of Science. Active in symposiums like International Symposium Metrology and Metrology Assurance as committee member.

Justin Kernمشاهده پروفایل

دانشیار

• Educational Measurement
• Psychological Measurement
• Item Response Theory (IRT)
• +۶ مورد دیگر

Justin Kern is an Associate Professor in the Department of Educational Psychology at the University of Illinois, Urbana-Champaign . He earned his Ph.D. in Quantitative Psychology (2017) and holds additional graduate degrees in Psychology and Statistics. His research focuses on educational and psychological measurement with emphasis on item response theory (IRT) , Bayesian statistical methods , and multivariate data analysis . Research Themes Item Response Theory (IRT) and extensions Computerized Adaptive Testing (CAT) Four-parameter IRT models Response time modeling Measurement invariance Bayesian estimation techniques Recent Publications His recent work (2025-2020) spans topics in educational measurement , psychological testing , and family behavior analysis . Key trends include: Development of IRT-based frameworks for health survey data Investigations into extreme response styles using IRTree models Advancements in four-parameter IRT modeling Applications of Bayesian methods in test construction Analysis of father involvement in early intervention Collaborations Kern collaborates across disciplines with researchers in psychology , statistics , healthcare informatics , and special education . His work has been supported by grants from the Institute for Education Sciences and NICHD .

Matthew Guthrieمشاهده پروفایل

استادیار

• Physics Education Research
• Educational Equity
• Online Learning Environments
• +۳ مورد دیگر

Matthew Guthrie is an Assistant Professor in Residence in the Department of Physics at the University of Connecticut. He joined UConn in 2022, focusing on three main areas: teaching introductory physics courses, conducting physics education research, and modernizing the university’s planetarium and observatory facilities. His research emphasizes equitable teaching practices, online learning environments, and the pedagogical value of Lagrangian mechanics. Education: Ph.D. in Physics, University of Texas (2018) B.Sc. in Physics with minors in Astrophysics and Mathematical Sciences, Michigan Technological University (2011) Research Interests: Optimizing group work dynamics and inclusive pedagogy in physics education Analyzing online learning behaviors and their impact on student outcomes Revitalizing physics education through modernized instructional tools and facilities Exploring the educational benefits of Lagrangian formulations in classical and relativistic physics He has co-founded MidataLabs, a nonprofit focused on advancing public data literacy, and previously served as an Adjunct Professor at multiple institutions. His work includes developing curricula for UConn’s Studio facilities and leading efforts to integrate advanced technology into the planetarium and observatory. Key Projects: Planetarium modernization (since 2022) Observatory computerized telescope control upgrades MidataLabs: Data analysis and civic engagement initiatives

• Non-Destructive Testing
• Materials Engineering
• Quality Management
• +۳ مورد دیگر

Peter Hammersberg is a Senior Lecturer at the Division of Quality Sciences within the Department of Technology Management and Economics at Chalmers University of Technology. His expertise spans non-destructive testing, materials engineering, and quality management. He has over a decade of experience in industrial quality development as a certified Six Sigma Master Black Belt, leading to significant cost savings through projects. He teaches material engineering and Lean Six Sigma methodologies, and oversees the master’s program in Materials Engineering. His research focuses on integrating quantitative methods with material science to improve manufacturing processes and product quality. Ongoing work includes predictive modeling using Barkhausen noise for material hardening analysis and studies on surface integrity of advanced alloys like Alloy 718. He also explores educational tools for circular economy concepts, emphasizing practical applications in engineering design. Peter’s publications reflect a blend of experimental and computational approaches to quality assurance, welding optimization, and sustainable manufacturing. His earlier work includes foundational studies on X-ray imaging and computerized tomography performance in the late 1990s, showcasing his long-standing engagement with advanced testing technologies. His advisory role includes supervising over 70 industrial projects, emphasizing Lean Six Sigma and process optimization. While no formal awards are listed, his contributions to bridging academic research and industrial applications are notable. He actively collaborates with interdisciplinary teams across material science, manufacturing, and quality systems.

• Bayesian Inference
• Monte Carlo Methods
• Machine Learning
• +۷ مورد دیگر

Dr. David Delgado Gómez is a Full Professor in the Department of Statistics at Universidad Carlos III de Madrid , where he serves as Director of the Doctoral Program in Statistics for Data Science . He leads the Statistical Data Science Group (SDS) and is affiliated with the UC3M-Santander Big Data Institute . Research Focus: His work bridges Bayesian inference , Monte Carlo methods , and mental health diagnostics , particularly in ADHD assessment and suicide risk prediction using machine learning and virtual reality . He develops computerized adaptive tests for behavioral analysis and contributes to gamified learning environments for statistical education. Recent Publications highlight his methodological innovations in importance sampling (pyLAIS package), thermodynamic integration , and ADHD diagnostic tools using motion tracking and game-based data. His research spans computational statistics , psychiatric epidemiology , and public health applications . Projects include: GIITN (2023-2025) - Interdisciplinary neurodevelopmental disorders research Paideia (2022-2025) - Digital tools for neurodevelopmental disorder diagnosis Desarrollo de un sistema de diagnóstico y tratamiento del TDAH (2021-2024) - Data science applications Higia (2019-2022) - Pattern recognition for ADHD diagnosis Contact: david.delgado@uc3m.es | ddelgado@est-econ.uc3m.es

• Physiotherapy
• Geriatrics
• Neurorehabilitation
• +۳ مورد دیگر

Katia Giacomino is a Researcher at the HES-SO Valais-Wallis - University of Health , specializing in Physiotherapy with a focus on Geriatrics and Neurorehabilitation . Her work emphasizes evidence-based practice , functional decline prevention in older adults, and multidomain training for cognitive improvement. Holds a BSc HES-SO in Physiotherapy Active in multidisciplinary collaborations across Europe Research interests include: Development of standardized assessment tools for hospital-associated disability Creation of targeted balance exercise programs for multiple sclerosis patients Implementation of computerized home-based interventions like StayFitLonger Evaluation of multimodal datasets for prosthetic control enhancement Her publications cover systematic reviews , randomized controlled trials , and methodological frameworks for clinical research, with recent work on machine learning applications in bias assessment of medical trials.

Bryant Aubrey Seamonمشاهده پروفایل

استادیار

• Rehabilitation Science
• Neurorehabilitation
• Motor Function
• +۴ مورد دیگر

Bryant Aubrey Seamon is an Assistant Professor in the Department of Rehabilitation Sciences within the College of Health Professions at the Medical University of South Carolina (MUSC). His research focuses on neurorehabilitation, particularly in stroke recovery, gait analysis, and balance assessment across diverse populations including stroke survivors, children with medical complexity, and older adults. Dr. Seamon holds a PhD and Doctor of Physical Therapy (DPT) degree, grounding his work in both clinical practice and scientific research. His research interests encompass: Neurorehabilitation and stroke recovery mechanisms Advanced gait and balance assessment methodologies Measurement science and psychometrics in rehabilitation Pediatric motor development tracking Biomechanical analysis of movement disorders Precision rehabilitation frameworks Analysis of his 15 most recent publications (2023-2025) reveals a dominant focus on developing and validating measurement tools for gross motor function, with significant contributions to stroke rehabilitation assessment. His work consistently employs advanced methodologies including computerized adaptive testing, biomechanical analysis, and causal modeling to enhance measurement precision and efficiency. Key population targets include stroke survivors (60% of publications), pediatric patients (20%), and geriatric populations with arthritis or mobility limitations (20%). No scientific awards were explicitly documented in the provided materials. Information regarding student mentorship, grant funding, laboratory infrastructure, or collaborative research teams was not included in the source materials. His clinical appointment and research activities appear centered within MUSC's College of Health Professions infrastructure.