جست‌وجوی استاد و پژوهشگر

• Mathematical Image Analysis
• Differential Geometry
• Variational Methods
• +۷ مورد دیگر

Francois Lauze is an Associate Professor at the Department of Computer Science , University of Copenhagen, affiliated with the Image Analysis, Computational Modelling and Geometry research group. His work bridges mathematical rigor and practical applications in image processing and shape analysis. Research Focus: Mathematical Image Analysis (variational/PDE methods) Differential and Riemannian geometry for shape statistics Applications: image inpainting, motion estimation, segmentation, medical imaging Contact: Email: francois@di.ku.dk Phone: +4535335671, +4521553933 Location: Universitetsparken 1, 2100 Copenhagen Ø Recent publications highlight advancements in SE(3) group CNNs for diffusion imaging, locally orderless networks for efficient processing, and refractive multi-view stereo techniques. His work integrates geometric modeling with computational implementations, emphasizing medical and video applications.

Erik Bekkersمشاهده پروفایل

دانشیار

• Geometric Machine Learning
• Deep Learning
• Medical Image Analysis
• +۴ مورد دیگر

Erik Bekkers is an Associate Professor at the University of Amsterdam's Informatics Institute, leading research in the Machine Learning Lab (AMLab). His work bridges geometric mathematics and machine learning, focusing on developing robust and efficient deep learning architectures grounded in symmetry, equivariance, and physical principles. Education: PhD in Biomedical Engineering (cum laude) from Eindhoven University of Technology Previous Roles: Postdoctoral researcher in applied differential geometry at TU/e Department of Applied Mathematics His research spans: Group convolutional neural networks Symmetry-preserving representation learning Generative modeling on manifolds Physics-informed neural networks Medical imaging applications Recent publications emphasize geometric latent variable models, equivariant diffusion methods, and applications to molecular generation, medical imaging, and physics-driven AI. His team actively explores structure-preserving and self-supervised learning techniques. Scientific Awards MICCAI Young Scientist Award (2018) Philips Impact Award (MIDL 2018) NWO VENI grant: Context-Aware AI in Medical Imaging (2023) NWO VIDI grant: Neural Ideograms - Geometry-Grounded AI (2024) As co-founder of the ICML'24 GRaM workshop , he promotes geometry-grounded approaches in AI. His lab actively investigates geometric regularization, manifold-based PDE forecasting, and symmetry-aware generative methods.

• Environmental Economics
• Health Economics
• Inequality Studies
• +۴ مورد دیگر

Dr. Julia Mink is a Tenure Track Assistant Professor at the University of Bonn, specializing in empirical environmental and health economics. Her research focuses on quantifying societal costs of pollution, climate change, and inequality through quasi-experimental methods and large-scale data analysis. Current affiliations: Institute for Applied Microeconomics, University of Bonn Previous affiliations: French National Research Institute for Agriculture, Food and Environment (INRAE) Her research combines environmental economics with health outcomes, emphasizing: Health impacts of air pollution and agricultural pesticides Inequality distribution in pollution exposure Climate resilience via healthcare systems Long-term socioeconomic impacts of disasters Recent publications analyze air pollution healthcare costs, pesticide effects on child development, and climate shocks in sub-Saharan Africa. She collaborates with researchers in Berkeley, Paris, and within the University of Bonn. Teaching roles: Environmental Economics (Graduate), Introductory Econometrics (Undergraduate) Argelander Professorship recipient

• Biostatistics
• Missing Data Analysis
• Measurement Error
• +۲ مورد دیگر

Yang Zhao is a Professor of Statistics in the Department of Mathematics and Statistics at the University of Regina. His research specializes in biostatistical methods for incomplete data, measurement error correction, and longitudinal analysis. Current work focuses on maximum likelihood estimation and Cox regression models with complex missing data patterns. His methodological contributions include diagnostic checking of imputation models and weighted estimating equations for longitudinal studies. He teaches advanced courses in statistical inference, time series analysis, and generalized linear models.

Cin Cin Tanمشاهده پروفایل

دانشیار

• Child Development
• Eating Behaviors
• Parent-Child Relationships
• +۳ مورد دیگر

Dr. Cin Cin Tan is an Associate Professor in the Department of Psychology at the University of Toledo. She holds a PhD from the University of Texas at Dallas (2012) and leads the UT Family and Child Development Lab. Her research focuses on children’s eating behaviors (emotional eating, external eating), parent-child relationships, coparenting dynamics, childhood obesity, body weight stigma, and negative body talk among adolescents. She has published extensively on topics like anti-fat attitudes, feeding practices, and the intergenerational transmission of body image concerns. Education PhD, University of Texas at Dallas, 2012 Research Interests Children’s eating pathology (restrained eating, emotional eating) Parent-child relationships and coparenting quality Body dissatisfaction and dieting behaviors in adolescents Impact of family dynamics on child nutrition Her recent work explores how parental stress during the pandemic affects child eating behaviors and the role of mindful feeding strategies. She has developed scales like the Feeding Coparenting Scale (FCS) to assess parental coordination in feeding contexts. Dr. Tan is currently accepting graduate students for Fall 2025. Her lab focuses on translational research to prevent childhood obesity and improve family feeding practices. Labs/Teams Director of the UT Family and Child Development Lab , which examines developmental pathways of eating behaviors and family dynamics.

Kajal Gokalمشاهده پروفایل

عضو هیئت علمی

• Behavioral Medicine
• Cancer Prevention
• Behavior Change
• +۳ مورد دیگر

Kajal Gokal is a Senior Research Fellow at Loughborough University, supported by an NIHR Advanced Fellowship. Her research focuses on behavioral medicine, particularly behavioral interventions for cancer prevention and management. She leads the Prevention and Treatment of Chronic Illness theme within the Centre for Lifestyle Medicine and Behaviour. Kajal holds a PhD in Psychology from Loughborough University and an undergraduate degree in Psychology from Aston University. Her professional journey includes roles as a Research Associate at Coventry University and Senior Research Associate on the NIHR-funded Snacktivity program (2019–2020). She has collaborated on projects funded by NIHR, MRC, and CRUK, developing digital health interventions and evaluating their impact. Key areas of expertise include physical activity promotion, behavior change techniques, and health professional-patient communication. Key research interests involve using small behavior changes (e.g., Snacktivity™) to address sedentary lifestyles and cancer risks, alongside co-designing interventions with communities. Her work integrates qualitative and quantitative methods, including randomized controlled trials and feasibility studies. Scientific achievements include the NIHR Advanced Fellowship (2024) and contributions to systematic reviews on physical activity outcomes in cancer patients and weight management strategies. Kajal’s interventions often target underserved populations, such as low-resourced mothers and cancer survivors, emphasizing social cohesion and accessibility.

Emily Meversمشاهده پروفایل

استادیار

• Natural Products
• Drug Discovery
• Chemical Biology
• +۳ مورد دیگر

Emily Mevers is an Assistant Professor in the Department of Chemistry at Virginia Tech's College of Science, where she established her research program in August 2020. Her lab investigates ecological metabolomes to discover bioactive natural products with therapeutic potential, focusing on underexplored niches like marine egg masses and millipede secretions. Education: B.S. in Chemistry, University of South Florida (2009) M.S. in Organic Chemistry, University of California San Diego (2011) Ph.D. in Organic Chemistry, University of California San Diego (2014) Postdoctoral Research Fellow, Harvard Medical School (2014-2016) Research Associate, Harvard Medical School (2017-2020) Research Focus: Dr. Mevers employs a function-first discovery approach to isolate natural products evolved for specific ecological roles. Her work centers on marine egg mass microbiomes (seeking predation-deterrent compounds for cancer/infection applications) and deep-sea hydrothermal vent systems (studying electron shuttles for mineral respiration). This integrates chemical ecology , organic synthesis , and microbial physiology to bridge ecological function with drug discovery. Publication Trends: Analysis of her 15 most recent publications reveals dominant themes in millipede defensive chemistry (5 articles), marine egg mass microbiomes (4 articles), and bacterial electron transfer (3 articles). Her work consistently links ecological function to bioactive compound discovery, with increasing focus on computational prediction of redox properties and host-microbe chemical interactions since 2023. Scientific Recognition: American Society of Pharmacognosy Postdoctoral Research Fellow Travel Award (2015) Teddy Traylor Award (2013) David Carew Graduate Student Travel Award (2013) Biochemistry of Growth Regulation and Oncogenesis NIH Trainee (2011-2014) Research Leadership: Dr. Mevers directs the Mevers Lab at Virginia Tech, mentoring graduate students in natural product discovery. Her prior NIH-funded training and current institutional support enable access to advanced instrumentation for metabolomics and bioassay development. She actively collaborates with marine biologists for sample collection and ecologists for functional validation. Research Infrastructure: The lab operates from 3103 Hahn Hall South, utilizing NMR, mass spectrometry, and microbial culturing facilities. Current projects include chemical profiling of marine invertebrate microbiomes, millipede alkaloid biosynthesis studies, and high-throughput screening of redox mediators – all aligned with Virginia Tech's strategic focus on One Health initiatives.

Pamela Souzaمشاهده پروفایل

استاد

• Auditory Processing
• Hearing Aids
• Speech Recognition
• +۴ مورد دیگر

Pamela Souza is a Professor in the Department of Communication Sciences & Disorders at Northwestern University's School of Communication. She holds secondary appointments in Linguistics and Otolaryngology-Head and Neck Surgery. Her research focuses on auditory and cognitive factors influencing hearing aid outcomes, particularly in aging populations. She is affiliated with the Hearing Aid Laboratory and is a Fellow of prominent organizations like the Acoustical Society of America and the American Speech-Language-Hearing Association. Dr. Souza earned her PhD in Audiology from Syracuse University. Her clinical interests include severe hearing loss management, tinnitus, and hearing assistive technologies. She has led NIH-funded projects investigating hearing aid signal processing and cognitive-auditory interactions. Notable contributions include developing the Spectral Correlation Index and advancing remote hearing aid assessment methods. Her research spans 30+ years, with over 100 peer-reviewed articles. Key themes include speech recognition in complex environments, working memory effects on hearing aid performance, and individualized treatment approaches. She has pioneered studies on reverberation and noise reduction technologies, emphasizing real-world acoustic challenges. Dr. Souza's grants include NIH R01 awards for studying hearing aid outcomes and compression dynamics. She has advised multiple trainees and collaborates internationally on projects like the E-LOSPHERES initiative. Her lab develops tools like the Portable Automated Rapid Testing (PART) system for auditory research.

Menggang Yuمشاهده پروفایل

استاد

• Causal Inference
• Observational Studies
• Risk Prediction
• +۷ مورد دیگر

Dr. Menggang Yu is a Professor of Biostatistics at the University of Michigan School of Public Health. He holds academic leadership roles, including former Director of the Biostatistics Core at UW Carbone Cancer Center and Associate Director of the Center for Health Disparities Research. His expertise spans causal inference, clinical biostatistics, and precision health, with a focus on cancer and chronic disease research. Education: PhD in Biostatistics (University of Michigan, 2004), MS in Applied Statistics (Bowling Green State University, 1999), BS in Computational Mathematics (Fudan University, 1996). Research interests emphasize causal inference, risk prediction, and treatment selection, particularly in clinical trials and observational studies. His work addresses methodological challenges in healthcare, including optimal surveillance strategies and subgroup analysis. Key awards include the Distinguished Student Paper Award (ENAR 2023) and ASA Biometrics Section Travel Awards (2017, 2018). He collaborates widely, contributing to high-impact journals like Biometrics , Journal of the American Statistical Association , and Cancer Cell . Grants and lab involvement include leadership roles in cores for cancer research and health disparities. Courses taught include survival analysis, causal inference, and clinical trial biostatistics.

Tania Griffinمشاهده پروفایل

مدرس ارشد

• Obesity Prevention
• Public Health
• Nutrition Science
• +۳ مورد دیگر

Tania Griffin is a Senior Lecturer in the Department for Health at the University of Bath, specializing in Nutrition and Population Health. She joined the university in 2018 and focuses on promoting healthy lifestyle behaviors through mixed-methods research, including intervention development and evaluation. Her work spans obesity prevention in schools, cultural adaptation of weight management programs, and applied sports nutrition. She is a registered Sport and Exercise Nutritionist (SENR) and contributes to UN Sustainable Development Goals related to health and well-being. Her research interests include public health interventions, dietary policies, and the psychological aspects of food choice. She has led or co-investigated multiple projects funded by organizations such as the Economic and Social Research Council (ESRC), Medical Research Council (MRC), and the Department of Health and Social Care. Notable projects include the 'Health Hub: Systems Approaches to Commercial Determinants of Health and Equity' and 'Extended brief interventions for weight management in children.' Tania has collaborated on studies exploring school food standards, pandemic impacts on lifestyle, and qualitative research on public health behaviors. Her work emphasizes evidence-based solutions and policy-driven outcomes. She is currently accepting doctoral students and actively engages in interdisciplinary research teams.

Maria Teresa Grønning Daleمشاهده پروفایل

دانشیار

• Quantitative Methods
• Trauma and Disasters
• Prenatal Risk Factors
• +۲ مورد دیگر

Maria Teresa Grønning Dale is an Associate Professor at the University of Oslo's Department of Psychology, affiliated with the Methodology, Work, Cultural and Social Psychology division. She holds dual roles as a researcher at the Norwegian Centre for Violence and Traumatic Stress Studies (NKVTS) and an Associate Professor II/Lecturer in the Psychology Department. Her academic journey includes a PhD from the National Institute of Public Health (2009-2012) and postdoctoral research there until 2018. Research Interests: Her work focuses on quantitative methods, trauma and disasters, prenatal risk factors, positive psychology, and personality psychology. Key projects include studies on workplace trauma, maternal health outcomes, and the psychological impacts of terrorism and congenital heart defects. Publications: Dr. Dale's research spans epidemiological studies, longitudinal cohort analyses, and clinical psychology. Recent work examines childhood trauma and adult revictimization (2025), post-terrorist attack psychosocial factors (2021), and prenatal dietary impacts on birth outcomes (2019). Her earlier studies (2011-2013) explored maternal well-being in families with congenital heart defects. Affiliations: She teaches courses like PSY1010 (Methodology) and PSY4020 (Quantitative Research Methods). Her research collaborations include NKVTS and the National Institute of Public Health. Professional experience includes roles in HR consulting and Red Cross leadership. Labs/Teams: Active in NKVTS trauma research and affiliated with the Psychology Department's quantitative methodology group.

Jose Pina-Sánchezمشاهده پروفایل

استاد

• Criminal Justice
• Sentencing Disparities
• Quantitative Criminology
• +۵ مورد دیگر

Professor Jose Pina-Sánchez is a Professor of Quantitative Criminology at the University of Leeds, affiliated with the School of Law within the Faculty of Social Sciences. His research focuses on criminal justice decision-making, particularly sentencing disparities, and employs advanced statistical methods to promote transparency and fairness in the justice system. He holds academic leadership roles, including Program Manager of the BSc Criminal Justice and Criminology (Quantitative Pathway) and Co-Director of the Social Research Methods Centre. Pina-Sánchez has collaborated with institutions like the Sentencing Council for England and Wales, the Scottish Sentencing Council, and law enforcement agencies to develop evidence-based policies. Education: BSc in Economics (Universidad Autónoma de Madrid), MA in Political Economics (Université Pierre Mendès France), MSc and PhD in Social Statistics (University of Manchester). Prior roles include a Fellowship at the London School of Economics and consultancy in public policy evaluation. Research interests include methodological rigor in addressing measurement error, longitudinal data analysis, and causal inference. His current projects explore ethnic sentencing disparities, the 'dark figure' of unreported crime, and judicial decision-making patterns. He emphasizes open science practices and critiques positivist methodologies in complex social issues. Teaching: Leads courses on statistical modeling, criminology research methods, and quantitative pathways. Supervises postgraduate researchers and delivers workshops on topics like missing data, multilevel modeling, and expert elicitation techniques. Advising and grants: Oversees advanced quantitative methods training at the White Rose DTP and contributes to interdisciplinary projects funded by the N8 Research Partnership and others. Labs/teams: Active in the Centre for Criminal Justice Studies and directs the Social Research Methods Centre, promoting innovative data-driven approaches to criminal justice challenges.

Saw Pui Sanمشاهده پروفایل

مدرس

• Public Health
• Pharmacy Practice
• Healthcare Workforce Dynamics
• +۵ مورد دیگر

Saw Pui San is a Lecturer in the Malaysia School of Pharmacy at Monash University, specializing in public health and pharmacy practice. She focuses on healthcare systems, person-centered care strategies, and workforce dynamics in Malaysia. Her research is funded by grants from the Ministry of Health Malaysia and WHO. She actively reviews for the National Institute of Health Malaysia. Research interests include healthcare access, primary care strengthening, and pharmacy integration into healthcare systems. Her work addresses avoidable hospitalizations, dementia care, and pharmacist roles in vaccination programs. Recent articles highlight digitalization of pharmaceutical supply chains, mental health screening in pharmacies, and person-centered care strategies. She has received multiple teaching awards, including PVC Commendations for Innovations in Education (2020–2022), and led projects on medication management and burnout in pharmacists. She serves on the Malaysian Pharmacists Society Executive and Ministry of Health advisory boards, and organized workshops on safe medication disposal. Her work contributes to UN Sustainable Development Goals related to health equity and planetary wellbeing.

• Statistics
• Meta-analysis
• Biostatistics
• +۲ مورد دیگر

David Hoaglin is a Professor in the Department of Population and Quantitative Health Sciences at UMass Chan Medical School. He holds additional positions in the Biostatistics division and Masters in Clinical Investigation program. His educational background includes a BS in Mathematics from Duke University and a PhD in Statistics from Princeton University. Research Interests: Dr. Hoaglin specializes in statistical methodologies with applications in medical research, particularly meta-analysis techniques, heterogeneity modeling, and development of statistical tests for clinical outcomes. His work focuses on advancing statistical approaches for analyzing binary outcomes, time-to-event data, and diagnostic biomarkers in healthcare research. Publications: His extensive publication record demonstrates consistent focus on statistical methodology development, particularly in meta-analysis techniques and clinical outcome measures. Recent works emphasize win statistics methodologies, heterogeneity assessment in meta-analyses, and applications of natural language processing in health outcomes research. Awards: No specific scientific awards mentioned. Professional Networks: Collaborates with researchers in biostatistics and epidemiology. Actively contributes to statistical methodology through editorial roles and peer-reviewed publications in statistical and medical journals.

Mariana Kaiselerمشاهده پروفایل

مدرس ارشد

• Sport and Exercise Psychology
• Stress Management
• Coping Mechanisms
• +۴ مورد دیگر

Dr. Mariana Kaiseler is a Senior Lecturer in Sport and Exercise Psychology at Manchester Metropolitan University’s Institute of Sport. With over 18 years of experience, her work focuses on applied sport psychology, stress management, and well-being in performance environments, particularly among underrepresented groups. She holds Chartered Psychologist status with the BPS, is an Associate Fellow of BPS, and a Senior Fellow of the Higher Education Academy. Her research spans stress and coping mechanisms in sports, mental health in coaching professions, and multicultural approaches to psychological interventions. She regularly contributes to national/international conferences and advises European funding bodies on mental health and equity issues. Teaching responsibilities include leading MSc modules on contemporary sport psychology practices and supervising undergraduate and postgraduate research projects. Key research themes include psychological well-being of sports coaches, burnout prevention, and leveraging technology (e.g., smartphone apps) for behavioral monitoring. Recent work examines transitions in military personnel recovery and multicultural counseling strategies. Awards include recognition for her inclusive pedagogical approaches and contributions to healthcare coaching standards. Advising involves two ongoing PhD projects exploring player care in football academies and mental health among professional match officials. Her work integrates ecological research methods with physiological stress assessments, as seen in studies involving firefighters and police officers.