جست‌وجوی استاد و پژوهشگر

• Workplace Ergonomics
• Musculoskeletal Rehabilitation
• Occupational Health
• +۳ مورد دیگر

Professor Venerina Johnston is a leading academic in workplace health and rehabilitation at the University of Southern Queensland's School of Health and Medical Sciences. Her research focuses on musculoskeletal disorders, occupational health, and return-to-work interventions within the Centre for Health Research. BPhty, Queensland University (1981) BPhtyHons, Queensland University (1982) GCertMgt, University of Southern Queensland (1999) GDWDP, Sherbrooke University (2012) PhD, Queensland University (2007) Her primary research investigates neck pain management in office workers, ergonomic interventions, and vocational rehabilitation following injuries. Johnston pioneers digital solutions like the Sit-Stand e-Guide and examines economic impacts of workplace interventions through cost-benefit analyses. Current projects address musculoskeletal self-management tools and wellbeing of workers post-compensation claims. Johnston's publication trends reveal strong focus on workplace ergonomics (45% of 2023-2025 articles), injury rehabilitation (30%), and methodological innovations in measurement tools (25%). Recent work emphasizes digital health solutions and longitudinal economic evaluations of interventions. As principal investigator for the NEXpro Collaboration Group, she leads multinational studies on neck pain interventions in Swiss office workers. Her research directly informs clinical frameworks for healthcare providers managing work-related injuries. ORCID: 0000-0003-0911-0866 2,565 total research output views 1,085 total research output downloads

Elizabeth Stojanovskiمشاهده پروفایل

مدرس ارشد

• Biostatistics
• Longitudinal Modelling
• Multivariate Statistics
• +۶ مورد دیگر

Dr. Elizabeth Stojanovski is a Senior Lecturer at the University of Newcastle , affiliated with the School of Information and Physical Sciences and the Priority Research Centre for Computer-Assisted Research Mathematics and its Applications (CARMA) . She leads the Mathematics Education Research Group and manages the statistical consulting unit, serving industry, academics, and postgraduate students. With a PhD in Statistics from the University of Newcastle, she specializes in Biostatistics , Longitudinal Modelling , and Multivariate Statistics . Education : PhD (University of Newcastle), Bachelor of Mathematics (Honours), Bachelor of Mathematics Professional Roles : Senior Lecturer (2007–present), Research Academic (2004–2006) Memberships : Member of the Australian Statistics Society Her research spans health and education , focusing on longitudinal relationships between life events and physical/mental health. She has developed Bayesian frameworks , longitudinal models , and meta-analytic techniques for applications in tobacco control, cardiovascular disease, cancer treatment, and mathematics education. Her work includes collaborations with Eric Beh on Nobel Prize data analysis, Manohar Garg on lipid-lowering studies, and Suzanne Snodgrass on physiotherapy biomechanics. Recent publications highlight her expertise in correspondence analysis for educational and scientific data, multivariate assessment of diabetes risk , and reinforcement learning for optimization. She has supervised 15 PhD/Masters students and peer-reviewed for journals and grants. Her grants total $496,207 , including projects on statistical literacy and phytosterol efficacy. Scientific Awards : 2001 "Temporal association between life events and health" Elizabeth's teaching spans theoretical and applied statistics, with a focus on psychology, health, and business applications. She has also contributed to forensic science through cut mark analysis on bone and policy research on tobacco investments in pension funds. Her leadership in CARMA and statistical consulting underscores her interdisciplinary impact.

Michel Brinkمشاهده پروفایل

دانشیار

• Sport Performance Optimization
• Injury Prevention
• Overtraining
• +۷ مورد دیگر

Dr. Michel Brink is an Associate Professor in Human Movement and Sport Sciences at the University of Groningen's Faculty of Medical Sciences. He specializes in optimizing sport performance through monitoring training load and managing stress-recovery balance, with a focus on injury prevention in team sports like football. He holds roles including Associate Editor of Science and Medicine in Football , Research Coordinator, and member of the Football Science Groningen Steering Committee. Education: Physiotherapy and Human Movement Sciences Experience: Former physiotherapist and university lecturer His research integrates biomechanical and psychosocial factors, using advanced technologies like inertial sensors. He collaborates with professional football clubs and national teams, contributing to applied sport science. Key interests include training load quantification, recovery strategies, and athlete resilience. Publications (2023–2025) emphasize injury risk analysis, psychophysiological interactions, and recovery metrics. He teaches courses on sport psychology and exercise physiology, supervising students at all academic levels.

Fatma Ozlem Unerمشاهده پروفایل

پژوهشگر

• Obstetrics and Gynecology Nursing
• Mental Health in Healthcare Workers
• Cancer Anxiety Management
• +۳ مورد دیگر

Fatma Ozlem Uner is a Researcher at the Department of Nursing/Nursing Fundamentals Department , part of the Faculty of Health Sciences at Alanya Alaaddin Keykubat University. She holds a PhD in Obstetrics and Gynecology Nursing from Akdeniz University (2019), an MA (2018), and a Nursing degree (2011). Her research focuses on Obstetrics and Gynecology Nursing , with emphasis on mental health challenges in healthcare workers during pandemics, cancer anxiety management, and maternal health nutrition. She has published extensively in journals like ASEAN Journal of Psychiatry and Psycho-Oncology . Key areas of study include: COVID-19 pandemic's impact on healthcare worker anxiety Cancer recurrence fears in survivors undergoing colposcopy Vitamin D awareness during pregnancy/postpartum She has advised at least one graduate student, Öznur Körükçü, and holds certifications in multivariate statistics, meta-analysis, and mindfulness-based stress reduction. No awards are explicitly listed, but her work includes significant contributions to healthcare education and maternal health initiatives.

Tim Salomonsمشاهده پروفایل

دانشیار

• Pain Management
• Neuroscience
• Psychology
• +۳ مورد دیگر

Tim Salomons is an Associate Professor in the Department of Psychology at Queen's University, Canada. He holds a PhD from the University of Wisconsin-Madison (2009) and an M.Sc. from the same institution (2007). His research focuses on understanding the brain-body interactions underlying pain perception, chronic pain mechanisms, and the biological basis of cognitive/affective pain responses. Specific interests include pain resilience, neuroimaging of pain modulation, and translational strategies for pain management. His work spans interdisciplinary collaborations, including studies on pain and mental health comorbidity (e.g., PTSD, depression), neural correlates of pain perception, and validation of clinical assessment tools. Key contributions include exploring pain's role in suicide risk, developing the Sensitivity to Pain Traumatization Scale, and investigating biomarkers for treatment response in chronic pain populations. Salomons has published over 60 papers in journals like Nature Neuroscience , Pain , and Journal of Pain . His research emphasizes bridging basic neuroscience with clinical applications, often involving fMRI and functional connectivity analyses. He collaborates with military health researchers, psychologists, and neurologists to address pain-related disability and improve patient outcomes. Lab activities focus on pain neurobiology, with a lab site dedicated to translational pain research. His work highlights the importance of psychological factors (e.g., helplessness, self-efficacy) in pain perception and treatment efficacy.

• Gastroenterology
• Endoscopy
• Hemorrhage Management
• +۳ مورد دیگر

Rome Jutabha is a Clinical Professor of Medicine and Director of Clinical Outreach and Development at the University of Southern California (USC). His research focuses on gastrointestinal hemorrhage management, endoscopic techniques, and liver disease complications. Notable contributions include advancing Doppler-based risk stratification for peptic and nonvariceal upper GI bleeding, evaluating outcomes of ischemic colitis, and optimizing endoscopic approaches for variceal prophylaxis in cirrhosis. He has authored over 80 peer-reviewed articles spanning clinical trials, diagnostic methodologies, and cost-effectiveness analyses in gastroenterology. Research interests emphasize translational applications of endoscopy, such as capsule endoscopy advancements and comparative effectiveness of hemorrhage therapies. His work bridges clinical practice with innovations in endoscopic tools and protocols, particularly in managing complex cases like Cameron ulcers and anastomotic varices. Publications highlight trends in hemorrhage risk stratification, cost analyses of diagnostic modalities (e.g., CT vs endoscopy), and evidence-based guidelines for acute GI bleeding. His clinical leadership includes directing outreach initiatives to improve translational research and patient care pathways in gastrointestinal disorders.

• Schizophrenia
• Mental Health
• Cognitive Disorders
• +۶ مورد دیگر

Dr. Milan Dragović is an Adjunct Professor in the Department of Psychiatry at the University of Western Australia (UWA) Medical School. His work focuses on schizophrenia, neurocognitive profiling, and mental health service accessibility. He has contributed to over 73 peer-reviewed publications and led a major grant-funded project investigating high-functioning individuals with schizophrenia. His research interests include behavioral lateralisation, multivariate statistics, and latent class modeling applied to psychiatric disorders. Notable contributions include studies on treatment-resistant schizophrenia, geographic barriers to mental health services, and the impact of antipsychotics on physical health outcomes. Dr. Dragović has collaborated extensively on projects addressing psychosis epidemiology, early intervention strategies, and the intersection of mental and physical health in severe psychiatric conditions. He has also contributed to clinical datasets on diabetes-related psychological comorbidities and schizophrenia genetics.

• Translational Neuroscience
• Psychiatry
• Neuroimaging (fMRI)
• +۶ مورد دیگر

Prof. Drozdstoy Stoyanov is a Professor at the Department of Psychiatry and Medical Psychology, Medical University of Plovdiv. He holds visiting fellowships at the University of Pittsburgh and Oxford University, with additional certifications from the University of Central Lancashire and Basel. His roles include Vice President of the European Society for Person-Centred Healthcare and the Specialized Group of Philosophy at King’s College London. He serves as an editorial board member for journals like European Journal of Person-Centered Healthcare and Frontiers in Psychiatry . Education: Graduated from Medical University of Sofia, completed a PGCert at Oxford University, and holds advanced degrees including DSc and IDFAPA credentials. Research focuses on translational neuroscience, psychiatric classification systems (e.g., RDoC), and neuroimaging applications in mood disorders and schizophrenia. Projects include biomarker identification for depression, functional connectivity analysis in psychiatric disorders, and the Medical Informatics Platform (MIP) for global data sharing. Research interests emphasize neurobiological and immunological mechanisms of mental disorders, cross-validation of clinical scales with neuroimaging, and values-based healthcare practices. Over 160 publications include 6 monographs and >600 citations. Awards include the 2018 International Distinguished Fellow from the American Psychiatric Association. Leadership in global initiatives: Collaborates with the World Health Organization’s Collaborating Centre for Values-Based Practice and chairs multinational studies on auditory hallucinations and depression biomarkers. Active in promoting precision psychiatry through neuroimaging and computational neuroscience methods.

• Psychiatry
• Digital Health
• Mental Health Treatment Innovation
• +۵ مورد دیگر

Manu Sharma, MD is an Assistant Clinical Professor of Psychiatry at Yale School of Medicine (Yale University). He serves as Unit Chief of the Inpatient Psychosis Unit at Yale New Haven Psychiatric Hospital, focusing on developing digital health tools to improve care for individuals with chronic and serious mental illnesses. His research interests include digital psychiatry innovations, anti-inflammatory interventions in schizophrenia, and biomarker discovery in mental health. Sharma’s academic contributions span neuroimaging, systemic reviews of treatment efficacy, and clinical challenges in psychiatric diagnosis. Notable work includes studies on resting-state functional connectivity in schizophrenia, inflammatory markers in bipolar disorder, and neuromodulation for treatment-resistant depression. He has been recognized with an appointment to the American Psychiatric Association (APA) Committee on Innovation, focusing on digital health advancements. His clinical expertise bridges inpatient care and academic research, emphasizing translational medicine. Ongoing projects explore real-world task ambiguity in mental healthcare and the role of anti-inflammatory therapies in metabolic syndrome comorbidities. Sharma’s work aims to integrate technology-driven solutions into standard psychiatric practices while addressing systemic gaps in patient care.

Keith Smithمشاهده پروفایل

مدرس

• Biomedical Network Analysis
• Neuroimaging Data Analysis
• Machine Learning in Neuroscience
• +۴ مورد دیگر

Keith Smith is a Lecturer in the Department of Computer and Information Sciences at the University of Strathclyde, where he leads the Digital Health & Wellness Research Group (DHaWG). Previously, he held positions as a lecturer at Nottingham Trent University and as a UKRI Innovations Fellow in Medical Informatics at the University of Edinburgh. He earned his PhD in biomedical signal processing from the University of Edinburgh's IDCOM lab. His research focuses on computational tools for analyzing biomedical networks, including neuroimaging data from structural and functional brain networks, protein interaction networks, and metabolic networks. Key areas include hierarchical complexity of brain networks, machine learning applications for neuroimaging, and theoretical foundations of network geometry and complexity. He collaborates widely with clinical and academic partners to address challenges in neurological and mental health conditions like Alzheimer’s, depression, and schizophrenia. His work contributes to UN Sustainable Development Goals, particularly improving health and well-being through advanced data-driven methodologies. He currently oversees PhD projects exploring brain networks, deep learning for disease prediction, and evolutionary protein biology. Notable achievements include the UKRI fellowship and impactful interdisciplinary collaborations. His talks and presentations, such as on statistical complexity of brain networks, highlight his commitment to advancing theoretical and applied network science.

• Paediatric Epidemiology
• Injury Prevention
• Public Health Surveillance
• +۲ مورد دیگر

Carlos Nunez Miranda is a Research Fellow at the University of Sydney's Faculty of Medicine and Health, affiliated with Sydney Medical School and the Children's Hospital at Westmead. His work focuses on paediatric public health surveillance and injury epidemiology. Research interests center on: Paediatric injury prevention : Systematic reviews of trampoline injuries, button battery ingestion risks, and television toppling hazards National disease surveillance : Leading studies on microcephaly, acute flaccid paralysis, and rare disorders through the Australian Paediatric Surveillance Unit Cancer epidemiology : Earlier research on obesity, physical activity, and cancer risks using large cohort studies Publication analysis reveals three primary research streams: Paediatric injury prevention (55% of recent publications) National surveillance of neurodevelopmental disorders (30%) Cancer epidemiology and prevention (15% from earlier career) No scientific awards, research grants, or supervised students are documented in available materials. Collaborative networks include the Australian Paediatric Surveillance Unit team and multi-center research consortia.

• Biostatistics
• Nephrology
• Health Services Research
• +۶ مورد دیگر

Professor Armando Teixeira-Pinto is a full-time academic at the School of Public Health within the University of Sydney . He contributes to teaching in the MD program, Master of Biostatistics, and postgraduate courses. As co-Leader of the Centre for Kidney Research , he focuses on methodological advancements in multivariate statistical modeling and collaborative clinical research. University of Sydney (2012–Present) School of Public Health (Faculty of Medicine and Health) Collaborations: Harvard, Indiana University, Universidade do Porto, Karolinska Institutet, Universidade Federal de Minas Gerais Professional Associations: Statistical Society of Australia, American Statistical Association, Sociedade Portuguesa de Estatistica His methodological work spans joint modeling of non-commensurate outcomes , variable selection in multivariate regression , and meta-analysis for diagnostics . Applied research spans nephrology , cardiovascular disease , pediatrics , and mental health , with recent studies on kidney transplant outcomes and movement behavior-cardiometabolic links. Publications include over 180 peer-reviewed articles (h-index: 36) on core outcome sets , HLA mismatch impacts , and cancer screening in transplant recipients . Teaching includes Machine Learning for Biostatistics , Introductory Biostatistics , and Advanced Statistical Modeling .

Becky Jacksonمشاهده پروفایل

مدرس

• Semantic Cognition
• Neuroimaging
• Computational Neuroscience
• +۳ مورد دیگر

Becky Jackson is a Lecturer in the Department of Psychology at the University of York since 2022. She holds a BSc and PhD in Psychology from the University of Manchester (2010, 2014). Previously, she held a British Academy Postdoctoral Fellowship (2017–2021) and an EPSRC Doctoral Prize Fellowship (2014–2016). Her research focuses on neurocomputational approaches to semantic cognition, investigating semantic control, representation, and their interaction across the lifespan. She leads the NECSUS Lab, which combines computational modeling and neuroimaging techniques to understand brain architecture supporting complex cognition. Education: BSc Psychology (Manchester, 2010), PhD Psychology (Manchester, 2014) Research Interests Dr. Jackson’s work explores how the brain integrates conceptual knowledge and contextual control, using fMRI, MEG, and computational models. She investigates semantic networks, functional connectivity gradients, and the neural basis of semantic deficits in disorders. Her lab emphasizes translational research between computational theories and empirical neuroimaging findings. Publications Her recent work includes studies on semantic network dynamics, functional organization of temporal and frontal cortices, and the neural overlap between theory of mind and semantic cognition. Key contributions include methodological advancements in EEG/MEG functional connectivity analysis. Frith Prize (Experimental Psychology Society, 2014) British Academy Fellowship (2017–2021) EPSRC Doctoral Prize (2014–2016) Advising & Grants She supervises PhD students in semantic cognition and neuroimaging techniques. Her research is supported by interdisciplinary collaborations, including with the MRC Cognition & Brain Sciences Unit and institutions across Europe. She chairs the Board of Examiners (since 2023) and serves as an LGBTQ+ Champion at York. Labs & Teams NECSUS Lab (NEuroComputational Strategy to Understand Semantics) focuses on multi-disciplinary approaches to semantic control and representation, emphasizing lifespan development and computational-brain interface.

George Karabatsosمشاهده پروفایل

استاد

• Bayesian Statistics
• Statistical Modeling
• Psychometrics
• +۶ مورد دیگر

George Karabatsos is a Professor at the University of Illinois at Chicago (UIC), affiliated with the Department of Educational Psychology. His research focuses on developing and applying Bayesian statistical models, computational methods, and psychometric frameworks for complex data analysis. He has contributed to areas such as Bayesian nonparametrics, meta-analysis, causal inference, and educational measurement. His work has been supported by grants from the National Science Foundation, the Spencer Foundation, and the National Institutes of Health. Karabatsos has authored a menu-based statistical software package for analyzing data using over 100 models and served as an Associate Editor for journals like Psychometrika and Computational Statistics and Data Analysis . Education: PhD in Measurement, Evaluation, and Statistical Analysis (MESA) from the University of Chicago, 1998. Research interests include Bayesian modeling, computational statistics, psychometrics, and applications in education and biostatistics. His recent work emphasizes Bayesian methods for addressing issues like hidden bias, sensitivity analysis, and local dependence in statistical inference. Publications span topics such as nonparametric mixture models, meta-analytic techniques, and software development. His articles reflect a focus on methodological advancements and their practical implementation in real-world problems. Grants and advising: Karabatsos has led numerous research projects funded by major institutions. While specific student advisees are not listed, his software contributions indicate involvement in training researchers through accessible tools. Labs/Teams: He is the lead developer of a Bayesian statistical software package, fostering collaboration in applied statistical research.

Elif Acarمشاهده پروفایل

دانشیار

• High-dimensional dependence
• Statistical genetics
• Nonparametric estimation
• +۴ مورد دیگر

Dr. Elif Acar is an Associate Professor in the Department of Statistics at the University of Guelph. Her research focuses on high-dimensional data analysis, multivariate modeling strategies, and meta-analysis in biomedical applications. She holds a PhD in Statistics from the University of Toronto (2010), an MSc in Mathematics from the University of New Hampshire (2006), and a BSc in Statistics from Middle East Technical University (2003). Her research themes include high-dimensional dependence modeling and research synthesis in high-throughput studies, with applications in genome-wide association studies, microbiome research, and phenotyping experiments. She emphasizes methodological developments in handling complex data structures such as longitudinal and incomplete datasets. Dr. Acar has received multiple awards including the MATRIX-Simons Travel Award (2024) and NSERC Discovery Grants (2020–2027). Her recent publications span copula-based models, longitudinal data analysis, and interdisciplinary applications in genetics and neuroscience. She mentors postdoctoral fellows and accepts PhD/MSc students interested in her research areas. Current grants include NSERC funding for statistical method development and collaborative research initiatives.