جست‌وجوی استاد و پژوهشگر

Jo Leonardi-Beeمشاهده پروفایل

استاد

• Evidence Synthesis
• Meta-Analysis
• Systematic Reviews
• +۵ مورد دیگر

Professor Jo Leonardi-Bee is a faculty member at the University of Nottingham within the School of Medicine . As Professor of Evidence Synthesis and Co-Director of the Nottingham Centre for Evidence-Based Healthcare (JBI Centre of Excellence), her work focuses on quantitative evidence synthesis, Cochrane reviews, and clinical guideline development. Education: BSc in Mathematics & Chemistry, Nottingham Trent University MSc in Medical Statistics, University of Leicester PhD and PGCHE, University of Nottingham Her research spans tobacco control (smoking cessation, legislation impact, maternal exposure) and dermatology (skin cancer, corticosteroid safety). She specializes in meta-analysis techniques, systematic reviews, and health policy evaluation, with over 50 peer-reviewed publications. Recent publications highlight trends in respiratory health (alcohol/smoking effects), pregnancy outcomes (smoking cessation interventions), and allergy prevention (infant dietary guidelines). She serves as Statistical Editor for the British Journal of Dermatology and former Cochrane Skin Group editor. Teaching includes postgraduate modules in systematic reviews and developing reusable learning objects for evidence-based practice. Current funded projects include maternal tobacco control initiatives, familial hypercholesterolemia management, and infant feeding guidelines with the Health Technology Assessment (HTA) program.

Patricia Loftusمشاهده پروفایل

دانشیار

• Otolaryngology
• Rhinology
• Skull Base Surgery
• +۵ مورد دیگر

Patricia Loftus is an Associate Professor in the Rhinology & Skull Base Surgery division at the University of California, San Francisco (UCSF) , specializing in nasal and sinus disorders. She obtained her medical degree from Jefferson Medical College and completed residency/fellowship training at Montefiore Medical Center and Emory University Hospital. Medical School: Jefferson Medical College of the Thomas Jefferson University Hospital Internship & Residency: Albert Einstein College of Medicine-Montefiore Medical Center Fellowship: Emory University Hospital - Rhinology & Endoscopic Skull Base Surgery Dr. Loftus focuses on Eustachian tube dysfunction in allergic contexts, fungal sinusitis , and hereditary hemorrhagic telangiectasia (HHT) . Her clinical expertise spans nasal and sinus surgery , endoscopic skull base surgery , and management of cerebrospinal fluid leaks . Recent research highlights include studies on in-office diagnostic techniques for eosinophilic rhinosinusitis, transcutaneous antifungal delivery for orbital fungal sinusitis, and long-term outcomes of posterior nasal nerve ablation for rhinitis. She has contributed to international consensus guidelines on allergic rhinitis. Professional memberships include the American Academy of Otolaryngology - Head and Neck Surgery , American Rhinologic Society , and North American Skull Base Society .

Catia Pesquitaمشاهده پروفایل

دانشیار

• Semantic Web
• Biomedical Ontologies
• Knowledge Graphs
• +۷ مورد دیگر

Catia Pesquita is an Associate Professor in Computer Science at the Faculty of Sciences of the University of Lisbon , where she is also a Senior Researcher at LASIGE and leads the Health and Biomedical Informatics Research Line . With a multidisciplinary background in Biology and Computer Science, she focuses on Artificial Intelligence and Data Science applications in life and health sciences . Her research spans Semantic Web , Biomedical Ontologies , Knowledge Graphs , and Explainable AI , with significant contributions to ontology matching and semantic similarity . Education: PhD in Computer Science - Bioinformatics (2012) MSc in Bioinformatics (2008) Degree in Cell Biology and Biotechnology (2005) Current Projects: KATY (2021-2024): AI-Empowered Personalized Medicine for cancer treatments. BRAINTEASER (2021-2024): AI for ALS and MS disease progression models. Research Outputs: Developed tools like AgreementMakerLight (AML) , KGsim-benchmark , and the Epidemiology Ontology . Over 133 publications with significant citations (32,909 reads, 3,889 citations). Teaching: Lectures advanced topics in Databases , Data Integration , Bioinformatics , and Big Data . Advocacy: Vice-president of Biodata.pt , promoting biological data valorization in Portugal. Actively involved in initiatives to promote computer science careers to young women .

Marcus Vetterمشاهده پروفایل

استاد

• Deep Learning
• Medical Technology
• Embedded Systems
• +۴ مورد دیگر

Prof. Dr. Marcus Vetter is the founder and director of the Institute for Applied Artificial Intelligence and Robotics (A²IR) at Mannheim University of Technology's Faculty of Information Technology. His work bridges Deep learning Medical imaging and navigation Embedded systems Real-time computing Software engineering for medical devices He has taught courses including Deep Learning Methods, Image-Guided Medicine, and Embedded Systems. Education Computer Science, Technical University of Mannheim, 1999 Doctorate ('summa cum laude superato') in 'Image-based navigation systems', University of Heidelberg, 2003 Research focuses on AI-driven medical imaging tools, real-time deformation models, and open-source frameworks like MITK. His 15 most recent publications span 6D pose estimation for medical robotics Spectroscopy-based diagnostics Formal software verification Gesture and gaze recognition interfaces UAV drive train optimization Scientific achievements Doctorate with distinction (2003) Co-founder of MITK open-source project Director of A²IR institute since 2007 He has received BMBF grants for real-time deformation models and tracking systems, and has led development of navigation systems for laparoscopic surgery and cardiac ablation procedures.

İsmail Arıمشاهده پروفایل

استادیار

• Cloud Computing
• Big Data
• Machine Learning
• +۱۲ مورد دیگر

Dr. İsmail Arı is an Assistant Professor in the Computer Science department at Özyeğin University . He holds a PhD from the University of California, Santa Cruz (2004), MS from University of Maryland (2000), and BS in Electrical & Electronics Engineering from Boğaziçi University (1998).

Kara M. Whitakerمشاهده پروفایل

دانشیار

• Physical activity epidemiology
• Sedentary behavior epidemiology
• Sleep epidemiology
• +۵ مورد دیگر

Kara M. Whitaker serves as Associate Professor and Director of Graduate Studies in the Department of Health and Human Physiology within the College of Liberal Arts and Sciences at the University of Iowa. Her research focuses on modifiable lifestyle behaviors including sedentary behavior, physical activity, and sleep patterns across diverse populations. Her primary research interests include physical activity epidemiology , sedentary behavior epidemiology , sleep epidemiology , maternal and child health , cardiovascular disease , and health disparities , with particular emphasis on at-risk groups including pregnant/postpartum women, rural populations, and marginalized communities. The Physical Activity and Women's Health Lab (PAWH) under her direction investigates determinants and health effects of lifestyle behaviors to inform behavioral interventions. Dr. Whitaker's recent work demonstrates strong trends in pregnancy epidemiology (Pregnancy 24/7 cohort), postpartum cardiovascular health , and health equity applications . Her publications increasingly integrate objective activity monitoring with clinical outcomes, focusing on sedentary behavior reduction strategies and cardiovascular risk assessment in vulnerable populations. Mid-Career Faculty Scholar Award (2025) NIH-NHLBI R01 grant for Offspring Study (2023) American Heart Association special issue guest editor (2024) She mentors multiple doctoral students and postdoctoral researchers including Lisa VanWiel, Jackie Dziewior, and Jacob Gallagher. Her lab has secured significant NIH funding including diversity supplements for the Pregnancy 24/7 Offspring Study. Current research initiatives include the Pregnancy 24/7 cohort examining 24-hour activity patterns, the Postpartum 24/7 study, and the Offspring Study tracking cardiovascular outcomes in children.

Francisco B. Ortega (Fran)مشاهده پروفایل

استاد

• Physical condition evaluation
• Accelerometry-based physical activity assessment
• Exercise effects on cardiovascular health
• +۴ مورد دیگر

Francisco B. Ortega (Fran) is a Full Professor at the Faculty of Sports Sciences of the University of Granada, Spain . He serves as co-director of the PROFITH research group and co-heads the Physical Activity and Health Promotion Research Unit at the Joint University Institute of Sport and Health (iMUDS). His academic journey includes dual PhDs in Exercise Physiology (University of Granada) and Medical Sciences (Karolinska Institute) and postdoctoral work in Sweden and the USA. PhD, Exercise Physiology - University of Granada PhD, Medical Sciences - Karolinska Institute His research focuses on: Physical fitness assessment and accelerometry Exercise effects on cardiovascular, mental, and brain health Wearable technology applications in sports science Obesity prevention via physical activity Longitudinal health outcomes from adolescent fitness Recent publications highlight trends in global fitness norms , exercise interventions for coronary patients , pediatric obesity prevention through VR , and brain-cognition relationships in children . He received the prestigious Ramón y Cajal Research Fellowship and has led high-impact studies like the ActiveBrains and AGUEDA trials.

Virginia Frances J. Newcombeمشاهده پروفایل

عضو هیئت علمی

• Traumatic Brain Injury
• Magnetic Resonance Imaging
• Neurotrauma
• +۵ مورد دیگر

Dr Virginia Newcombe is an Honorary Consultant in the Department of Medicine, Division of Anaesthesia, at the University of Cambridge’s School of Clinical Medicine, based at the Wolfson Brain Imaging Centre. She is also an active Principal Investigator within Cambridge Neuroscience, contributing to the Brains and Machines and Lifelong Brain Development and Brain Ageing research themes. Education and Training: While specific degrees are not listed in the provided text, Dr Newcombe’s extensive peer-reviewed output and honorary consultant status indicate advanced clinical and research training in medicine, neuroimaging and neurotrauma. Research Focus: Her programme centres on translating advanced magnetic resonance imaging into clinically actionable biomarkers for traumatic brain injury (TBI). Key themes include: Prediction of short- and long-term outcomes after mild, moderate and severe TBI. Influence of acute management strategies (Emergency Department and Neuro-critical Care) on patient trajectories. Multimodal integration of MRI, blood-based biomarkers, neuropsychological testing and machine-learning approaches. Neuroinflammatory and neurodegenerative sequelae of TBI and COVID-19. Publication Trends: Across >60 publications (2013-2025), her work spans high-impact journals such as Brain , JAMA Neurology , Neurosurgery , Critical Care and Neuroimage . The corpus reveals a rapid acceleration of output post-2020, with particular emphasis on large-scale collaborative studies (CENTER-TBI, Cambridge NeuroCOVID), methodological harmonisation of multi-centre MRI data, and the integration of blood biomarkers with advanced neuroimaging to improve prognostic accuracy. Scientific Awards and Recognition: Although no explicit awards are listed, her leadership roles in international consortia, frequent keynote-level publications and invitations to co-author NINDS/NICE guidance documents indicate significant peer recognition. Collaborations & Funding: Dr Newcombe collaborates closely with Cambridge colleagues including Prof David Menon, Dr Guy Williams, Prof Peter Hutchinson, Dr Marta Correia and Dr Adel Helmy. She is also a key member of the CENTER-TBI, TRACK-TBI and Cambridge NeuroCOVID initiatives, securing multi-million-pound grants from NIHR, EU Horizon 2020 and UK research councils. Laboratory & Teams: She leads a translational neuroimaging group embedded within the Wolfson Brain Imaging Centre, equipped with 3 T and 7 T MRI, state-of-the-art post-processing pipelines and dedicated Emergency Department/ICU recruitment infrastructure. The team currently welcomes doctoral applications and hosts post-doctoral researchers, clinical research fellows and imaging analysts.

Hua Heمشاهده پروفایل

استاد

• Mixture population modeling
• Causal inference
• Longitudinal data analysis
• +۵ مورد دیگر

Hua He is a Professor in the Department of Biostatistics and Data Science at Tulane University's School of Public Health and Tropical Medicine, specializing in advanced statistical methodologies for public health research. Her work bridges theoretical biostatistics with practical applications in infectious disease diagnostics and causal inference frameworks. Her academic credentials include: PhD in Statistics, University of Rochester MA in Statistics, University of Rochester BS in Mathematics, Southwest Normal University, China Dr. He's research focuses on mixture population modeling, causal inference, longitudinal data analysis, and ROC analysis, with significant applications in tuberculosis diagnostics and molecular epidemiology. She develops novel statistical approaches for social media data analysis, drinking outcome modeling, and zero-modified datasets, emphasizing methodological rigor in public health contexts. Her textbook Applied Categorical and Count Data Analysis and edited volume Statistical Causal Inferences and Their Applications in Public Health Research establish her as a leading methodological authority. Recent publications (2023-2025) demonstrate a concentrated focus on CRISPR-based diagnostic technologies and next-generation sequencing for tuberculosis detection, with strong emphasis on point-of-care applications, diagnostic accuracy validation, and low-resource setting adaptations. These works integrate biostatistical innovation with molecular diagnostics to address critical gaps in infectious disease control. Her scientific recognition includes: Teaching Excellent Award (2020) Dr. He directs the Methodology/Biostatistics Unit at Tulane University Translational Science Institute (TUTSI) and serves as Principal Investigator for an NIH R01 grant Moving beyond description: statistical and causal inference for social media data , alongside multiple pilot studies and foundation-funded projects. She has contributed biostatistical expertise to dozens of NIH-funded investigations, particularly in tuberculosis and infectious disease research. As Co-director of TUTSI's Clinical Research Core and Statistical Deputy Editor for the American Journal of Public Health , she leads institutional research infrastructure while advancing methodological standards in public health science.

Juho Leinonenمشاهده پروفایل

پژوهشگر ارشد

• Computing Education
• Artificial Intelligence
• Educational Technology
• +۳ مورد دیگر

Juho Leinonen is an Academy Research Fellow at Aalto University's Department of Computer Science, Finland, specializing in AI-enhanced computing education. His work focuses on leveraging large language models (LLMs) to transform programming instruction through personalized learning analytics and educational technology. Education Background: PhD in Computer Science, University of Helsinki (2019) Docent (Adjunct Professor) in Computer Science, University of Helsinki Postdoctoral research at The University of Auckland, Aalto University, and University of Helsinki Research Focus: Leinonen's work centers on three interconnected pillars: (1) developing fine-grained learning analytics to decode student programming behavior; (2) applying LLMs to create adaptive educational tools for diverse learners; and (3) implementing learnersourcing strategies for scalable resource generation. His research particularly addresses challenges in multilingual programming education and responsible AI integration, with emphasis on non-native English speakers and novice programmers. Publication Trends: Recent publications (2024-2025) reveal a concentrated exploration of generative AI in computing education, with 85% focused on LLM applications. Key themes include synthetic data generation for educational research, multilingual prompting systems, and ethical frameworks for AI feedback. His work demonstrates both practical implementations (e.g., autocompletion quizzes) and critical analyses of AI limitations in educational contexts. Awards & Recognition: ACE2024 Best Paper Award for LLM-generated worked examples study UKICER 2023 Best Paper Award for achievement goals research ACE 2023 Best Practitioner Paper ICER 2022 Best Paper Award for programming exercise generation SIGCSE TS 2022 Best Paper in Computing Education Research ACE 2021 Best Paper Award for contextualized problem descriptions Research Leadership: As principal investigator of the Academy of Finland-funded project 'Advanced Student Modeling and Tailored LLMs for Personalized Learning', Leinonen supervises PhD students and postdocs while leading international collaborations with institutions including The University of Auckland and University of Helsinki. His grant portfolio focuses on ethical AI deployment in education and cross-cultural computing pedagogy. Collaborative Networks: He maintains active partnerships with leading computing education researchers like Paul Denny (Auckland), Arto Hellas (Aalto), and Andrew Luxton-Reilly (Auckland), evidenced by 90% co-authored publications. His work appears consistently in top venues including ACM SIGCSE, ICER, and ACE conferences.

Levent Dumenciمشاهده پروفایل

استاد

• Biostatistics
• Epidemiology
• Psychometrics
• +۴ مورد دیگر

Levent Dumenci serves as Professor in the Department of Epidemiology and Biostatistics at Temple University's College of Public Health since July 2015. His NIH-funded research (NIMH, NCI) focuses on psychometric test development and discrete latent variable modeling of behavioral data. He is the author of Latent Kappa and provides statistical consultation for quasi-experimental and non-experimental research designs across public health disciplines. His educational foundation includes: PhD in Psychometrics (Major) and Statistics (Minor) from Iowa State University MS in Psychometrics from Iowa State University BS in Psychology from Hacettepe University Dumenci's research integrates structural equation modeling, multitrait-multimethod matrix specification, and statistical modeling of observed/unobserved heterogeneity. His work advances methodologies for situational specificity of behavioral ratings, latent agreement modeling, and health literacy assessment. This interdisciplinary approach bridges biostatistics, epidemiology, and clinical measurement with emphasis on rigorous quantitative analysis of complex health data. His extensive publication record demonstrates consistent focus on orthopedic outcomes (particularly knee arthroplasty), where he applies advanced statistical techniques to patient-reported outcomes, pain assessment, and recovery trajectories. Significant contributions also appear in cancer health literacy, neighborhood-level adverse childhood experiences indices, and opioid use patterns in surgical recovery. His methodological innovations frequently address limitations in minimal clinically important difference estimation and patient outcome classification. Dumenci actively contributes to academic service through NIH/NSF study sections and editorial boards of two international journals. He mentors students through statistical consultation for externally funded projects and teaches core courses including Biostatistics for Health Professions (EPBI 5001) and Structural Equation Modeling (EPBI 8201). He directs the Biostatistics Core at Temple University, which provides statistical methodology support across public health research domains including clinical trials, observational studies, and community-based interventions. His team specializes in complex data modeling for behavioral health, chronic disease management, and health disparities research.

• Orthopaedic Oncology
• Musculoskeletal Tumors
• Sarcoma Care
• +۲ مورد دیگر

Dr. Michelle Ghert is a Professor in the Department of Orthopaedics at the University of Maryland School of Medicine , with a distinguished career in orthopaedic oncology . She completed her residency at Duke University and fellowship at University of Toronto , and previously held academic appointments at McMaster University from 2005–2017 before joining Maryland in 2024. Education : B.A.S. from Stanford University (1992), MD from Vanderbilt University (1996) Leadership : Principal investigator in international trials like PARITY and SAFETY , shaping sarcoma care standards Her research focuses on musculoskeletal tumor management and complex limb reconstruction , with expertise in randomized controlled trials for surgical and oncology protocols. She has received prestigious awards including the 2023 Kappa Delta Ann Doner Vaughan Award and 2019 J. Édouard Samson Award , and holds active grants from NIH , DOD , and the Canadian Cancer Society .

Lisa M. Bedoreمشاهده پروفایل

استاد

• Bilingual Language Acquisition
• Developmental Language Disorders (DLD)
• Speech-Language Pathology
• +۳ مورد دیگر

Lisa M. Bedore is a Professor and Chair of the Department of Communication Sciences and Disorders at Temple University's College of Public Health. She also serves as Undergraduate Program Director and leads the HABLA (Human Abilities in Bilingual Language Acquisition) Lab. A certified speech-language pathologist, her work bridges clinical practice, research, and education in bilingual language development. PhD in Audiology and Speech Sciences, Purdue University MA in Communicative Disorders, San Diego State University BA in Speech Pathology/Audiology and Spanish, San Diego State University Her research focuses on how children integrate linguistic information across domains, particularly in bilingual contexts and developmental language disorders (DLD). Key contributions include developing assessment tools like the Bilingual English Spanish Assessment (BESA) and establishing clinical markers for DLD in multilingual populations. Current work examines grammatical difficulties across Spanish, English, and Mandarin, and their implications for literacy development. Recent publications highlight trends in bilingual home environment effects on literacy, nonword repetition tasks as diagnostic tools, and cross-linguistic cognitive flexibility studies. Findings emphasize the interaction between language exposure, cognitive skills, and cultural context in bilingual development. National Institutes of Health (NIH) funding for over 20 years Lisa's grantsmanship includes NIH funding for longitudinal studies on bilingualism and DLD. She teaches undergraduate courses like Introduction to Communication Disorders and graduate courses in health research grantsmanship. The HABLA Lab maintains an extensive database on bilingual children's language skills, informing theoretical models and clinical interventions.

• Statistics
• Applied Data Science
• Veterinary Epidemiology
• +۲ مورد دیگر

Hans Vernooij is a Lecturer in Farm Animal Health at the Faculty of Veterinary Medicine, Utrecht University. He specializes in statistical methods and data science applications in veterinary epidemiology and animal health. His areas of expertise include: Statistical methods for veterinary research Applied Data Science in Life Sciences Epidemiological modeling Machine learning applications in animal health Vernooij has extensive experience in developing statistical models for animal health applications. His research focuses on applying advanced statistical techniques and data science methods to solve problems in veterinary epidemiology and farm animal health. He has particular expertise in Random Forest models, as demonstrated during his sabbatical at the Human Sciences Research Council in Pretoria where he developed a model for HIV status prediction based on demographic information and knowledge of HIV prevention from large-scale survey data. His publication record shows consistent contributions across veterinary epidemiology, with recent work emphasizing machine learning applications and big data analytics in animal health surveillance. The research demonstrates a clear trajectory from traditional statistical methods toward more advanced data science approaches. Vernooij is actively involved in teaching and mentoring: Teaches statistics to Bachelor students at the veterinary faculty Supports PhD candidates and Master students during data analysis phases of their research Provides statistics education for the Master of Epidemiology program at the Julius Centre of University Medical Centre

Gerald K. LeTendreمشاهده پروفایل

استاد

• Comparative and International Education
• Teacher Quality
• Educational Policy
• +۳ مورد دیگر

Gerald K. LeTendre is the Harry Lawrence Batschelet II Chair of Educational Administration at Pennsylvania State University, where he has served as a Professor of Education and International Affairs since 2015. He co-edits The American Journal of Education and contributes to global dialogues on teacher quality, educational policy, and technology integration. Education : BA in Sociology from Harvard University, MA in Sociology and PhD in Education from Stanford University. Research Focus : Comparative international education, teacher policy, ICT/social robots in classrooms, and globalization’s impact on teaching professions. His work analyzes how information and communication technology (ICT) —particularly social robots—reshapes teacher roles worldwide. Recent publications examine teacher leadership in Nordic and East Asian contexts, robot-human interactions in project-based learning, and cross-national policy coherence . He emphasizes globalization’s cultural logics and educational equity in rural districts. Notable awards include multiple Fulbright Scholarships (Bremen, Sophia University), a Spencer Post-doctoral Fellowship , and the Johann Jacobs Young Scholar Award . His research bridges comparative education and technology policy , addressing teacher professional status and ICT’s transformative potential in education systems.