جست‌وجوی استاد و پژوهشگر

• Public Health
• Nursing
• Health Communication
• +۴ مورد دیگر

Sunny Kim is an Associate Professor at the Edson College of Nursing and Health Innovation, Arizona State University. Her research focuses on innovative health communication strategies to address health disparities, with a particular emphasis on digital storytelling interventions for underserved populations. She explores topics such as vaccine hesitancy, cancer care, and psychosocial support for patients and caregivers. Key research areas include: Development of culturally tailored digital interventions targeting HPV vaccination, cancer prevention, and chronic disease management Evaluation of mind-body practices (e.g., Tai Chi, biofeedback) for cardiometabolic and psycho-emotional health Qualitative studies on patient-caregiver dynamics in hematopoietic cell transplantation Her work bridges nursing, public health, and behavioral medicine, emphasizing community engagement with vulnerable groups such as Asian immigrants, Hispanic families, and Black adults. Recent studies highlight interventions to improve health literacy and reduce disparities in vaccination rates and cancer outcomes. Notable contributions include: Pilot testing digital storytelling to influence HPV vaccination decisions among college men and minority populations Exploring the feasibility of group-based workshops for HCT patient-caregiver dyads Systematic reviews on mind-body therapies and their physiological impacts No scientific awards are explicitly listed in the provided materials. Her research has been applied in clinical and community settings to improve health advocacy and patient-centered care strategies.

Irēna Kurcalteمشاهده پروفایل

استادیار بالینی

• Cardiology
• Clinical Medicine
• Atrial Fibrillation
• +۴ مورد دیگر

Irēna Kurcalte serves as an Acting Assistant in the Department of Internal Diseases, specializing in clinical cardiology with contributions to UN Sustainable Development Goal 3 (Good Health and Well-being). Her research spans cardiovascular disease mechanisms, diagnostics, and therapeutic interventions within academic medical settings. Her primary research interests include atrial fibrillation risk stratification using Holter monitoring, myocardial infarction subtypes (particularly right ventricular involvement), coronary artery disease interventions, and pulmonary embolism outcomes. She integrates clinical cardiology with biostatistical methods, notably applying R programming for medical data analysis and real-world evidence generation in heart failure management. Recent publications (2019-2021) demonstrate a consistent focus on arrhythmia diagnostics, acute coronary syndromes, and cardiovascular risk assessment. Key trends include technological integration (e.g., AFibDI index development), real-world clinical data application, and cross-disciplinary approaches combining electrophysiology with statistical modeling. Her work predominantly appears as conference abstracts indicating active engagement in scientific discourse. Dr. Kurcalte actively disseminates findings through conference presentations, including an oral presentation on the AFibDI index at a March 2021 conference, reflecting ongoing scholarly contribution to cardiology research communities.

• Mental Health Treatment
• Health Communication
• Trauma and PTSD
• +۳ مورد دیگر

Hans M. Nordahl is a Professor of Medicine (Medical Behavioral Sciences) at the Norwegian University of Science and Technology (NTNU), employed at the Department of Mental Health, Unit for Adult Psychiatry and Substance Abuse. He is affiliated with Østmarka Hospital at St. Olav's Hospital and maintains an office at the MTFS building on the Øya campus. His research focuses on mental health treatment, health communication, trauma/PTSD, personality disorders, anxiety disorders, and the impact of adverse childhood experiences. His work spans clinical trials (e.g., metacognitive therapy for anorexia nervosa, PTSD, and generalized anxiety disorder), epidemiological studies (e.g., Young-HUNT3 cohort analysis of social anxiety and adverse childhood experiences), and translational research integrating neurobiological markers (e.g., hippocampal volume, executive function) with mental health outcomes. He has co-authored over 50 peer-reviewed articles since 2012, emphasizing metacognitive models of anxiety and depression, treatment efficacy comparisons, and population health trends. His recent studies explore the role of metacognitive beliefs in interpersonal functioning, the feasibility of exercise-augmented cognitive therapy for older adults, and longitudinal links between childhood trauma and adult mental health. He collaborates with institutions like St. Olav's Hospital, the HUNT Study cohort, and international researchers in cognitive therapy development.

Khong Wei Leongمشاهده پروفایل

مدرس

• Biomedical Engineering
• Image and Signal Processing
• Artificial Intelligence
• +۳ مورد دیگر

Dr. Khong Wei Leong is a Lecturer in the Department of Common Engineering at the Malaysia School of Engineering, Monash University Malaysia. He is a registered graduate engineer with the Board of Engineers Malaysia (BEM) and actively involved in research on biomedical imaging, image/video processing, smart healthcare, and non-contact vital signs measurement. His current work focuses on developing non-contact methods for measuring human vital signs, such as heart rate and blood pressure using video imaging and LabVIEW-based tools. Dr. Khong holds a PhD in Electrical & Electronics Engineering (2018), MEng in Modelling and Estimation of Vehicle Tracking (2013), and BEng (Hons) in Computer Engineering (2009), all from Universiti Malaysia Sabah. He coordinates the unit ENG1013: Engineering Smart Systems and serves as a reviewer for the Elsevier journal Biomedical Signal Processing & Control . His research interests span biomedical engineering, artificial intelligence, and telehealth solutions. Notable projects include the 'Catch me before I fail' initiative to improve student academic performance and a LabVIEW-based biomedical toolkit for ECG analysis. His work aligns with UN Sustainable Development Goals, particularly in advancing education and health technologies. Key collaborations include work on robot vision systems, vehicle tracking algorithms, and mobile health applications. Dr. Khong has contributed to over 26 peer-reviewed publications and actively participates in international conferences.

• Pancreatic Cancer
• Surgical Oncology
• DNA-damage Response
• +۵ مورد دیگر

Professor David Chang is a Professor of Surgical Oncology at the University of Glasgow, specializing in the treatment of malignant pancreatic diseases. Based at the Wolfson Wohl Cancer Research Centre, he serves as an Honorary Consultant Pancreatic Surgeon at Glasgow Royal Infirmary as part of the West of Scotland Pancreatic Unit, a tertiary pancreatic referral center. Chang co-leads Precision-Panc, a pan-UK initiative for personalized cancer care for pancreatic cancer, and is actively involved in major international cancer research initiatives including Precision Promise (Pancreatic Cancer Action Network USA) and ICGC ARGO. PhD in Australia Pancreatic surgical fellowship in Australia Post-doctoral training in Australia Recruited to University of Glasgow in 2013 David Chang's primary research focus centers on developing and implementing novel therapeutic strategies for pancreatic cancer, particularly around DNA-damage response deficiency. His work utilizes molecular biomarkers for prognosis and therapeutic responsiveness, with the goal of bridging the gap between bench research and clinical application. Chang is a leading figure in precision medicine approaches for pancreatic cancer treatment, dedicated to shortening the distance between laboratory discoveries and clinical implementation to ensure meaningful and seamless translation between research and patient care. Chang's recent publications demonstrate a sophisticated integration of molecular biology, genomics, and clinical oncology. His work spans from basic molecular research on DNA damage response mechanisms to large-scale clinical trials through Precision-Panc. Key themes include molecular subtyping of pancreatic cancer, therapeutic resistance mechanisms, novel biomarker discovery, and personalized treatment strategies. The research shows increasing sophistication in combining genomic data with clinical parameters to inform treatment decisions, reflecting the evolution of precision oncology in pancreatic cancer management. As chief investigator of the Precision-Panc Master Protocol and related clinical trials, Chang leads significant research initiatives with substantial grant funding. His work involves extensive collaboration across the UK and internationally, particularly with the Australian Pancreatic Cancer Genome Initiative. Chang's research program represents a comprehensive approach to pancreatic cancer that integrates basic science, translational research, and clinical implementation. Based at the Wolfson Wohl Cancer Research Centre at the University of Glasgow, Chang works within a multidisciplinary environment that includes the West of Scotland Pancreatic Unit. His research group collaborates extensively with international teams focused on pancreatic cancer genomics and precision medicine, contributing to major global initiatives that aim to transform pancreatic cancer care through molecular understanding and personalized treatment approaches.

Anna Maltsevمشاهده پروفایل

مدرس ارشد

• Probability
• Mathematical Physics
• Quantitative Biology
• +۶ مورد دیگر

Dr. Anna Maltsev serves as a Senior Lecturer in Applied Probability and Royal Society University Research Fellow at Queen Mary University of London's School of Mathematical Sciences. She joined Queen Mary in August 2017 after holding positions at Bristol University (2013-2017) and the University of Bonn (2010-2012). Dr. Maltsev earned her Ph.D. from the California Institute of Technology in 2010 under Barry Simon's supervision. Her research spans probability, mathematical physics, quantitative biology, and analysis with specific focus on random matrix theory, calcium signaling in cardiac cells, spectral theory, and quantum graphs. Her doctoral work examined spectral theory of Schrödinger operators on the half-line. Her interdisciplinary publications reveal consistent application of advanced mathematical techniques to cardiac physiology, particularly in understanding calcium signaling mechanisms in pacemaker cells. Dr. Maltsev's work demonstrates how mathematical principles like phase transitions and random matrix theory govern fundamental biological processes in the heart. Her significant research funding includes: Royal Society University Research Fellowship renewal (2023-2026): £370,397 Royal Society Enhanced Research Expenses (2023-2026): £246,000 Royal Society University Research Fellowship (2017-2023): £475,484 Leverhulme Early Career Fellowship (2013-2017) Dr. Maltsev supervises PhD students including Olivia Auster (researching eigenvalue distributions of random matrices) and collaborates with Dr. Mohammed Osman. Her work is conducted within Queen Mary's Centre for Complex Systems, where she bridges mathematical theory with biological applications to advance understanding of cardiac function.

Petar Milinمشاهده پروفایل

استاد

• Psychology of Language
• Language Learning
• Natural Communication
• +۴ مورد دیگر

Professor Petar Milin holds a position as Professor of Psychology of Language and Language Learning at the University of Birmingham's Department of Modern Languages. He earned a BA and MA in Psychology from the University of Novi Sad (Serbia), followed by a PhD in experimental and computational psychology from the University of Belgrade. His career includes roles as Assistant Professor (1990s–2016), Associate Professor (2009–2016), Senior Researcher at Eberhard Karls University in Tübingen (2013–2016), and Senior Lecturer positions at the University of Sheffield and Birmingham. He co-founded Novi Sad's Laboratory for Experimental Psychology (2009–2015) and contributed to EU-funded curricula development projects. His research focuses on the role of learning in language behavior, combining experimental and computational methods with statistical analysis. Primary interests include language communication dynamics, probabilistic phenomena in language (stylometry, text quantification), and cognitive systems integration. He leads the Out Of Our Minds project (Leverhulme Trust-funded), exploring language learning optimization. Notable grants include €180k and €703k EU TEMPUS grants for curricula development. Professor Milin has authored/co-authored influential papers in journals like Journal of Experimental Psychology and Cognitive Science , and holds editorial roles at Cognitive Linguistics and Entropy . He is a Turing Fellow and Research Ambassador for Eberhard Karls University. Current advisees include students researching L2 aspectual usage, eye-tracking in bilingualism, and technology-enhanced language learning. Teaching specialties include Statistics, Research Methods, Psycholinguistics, and Learning Theory. His work bridges cognitive science and computational linguistics, emphasizing interdisciplinary approaches to language understanding and acquisition.

J. (Hans) Ormelمشاهده پروفایل

استاد

• Social Psychiatry
• Psychiatric Epidemiology
• Mental Health Treatment
• +۳ مورد دیگر

Prof. J. (Hans) Ormel is a Professor of Social Psychiatry and Psychiatric Epidemiology at the University of Groningen's Faculty of Medical Sciences. His research focuses on mental health epidemiology, psychopathology trajectories, and healthcare utilization patterns. He has contributed to understanding the stability of psychopathology across adolescence and young adulthood, and the societal factors influencing mental health outcomes. Key research interests include the interplay between social determinants and psychiatric disorders, longitudinal study designs, and preventive mental health strategies. Prof. Ormel has published extensively on topics such as treatment efficacy for anxiety and depression, genetic influences on mental health, and policy frameworks for effective mental disorder prevention. His work integrates statistical methodologies with clinical insights, as seen in his development of the normal-probit-binomial model for questionnaire analysis. Collaborations span interdisciplinary teams addressing cardiovascular disease genetics and risk factors for schizophrenia.

• Artificial Intelligence
• Machine Learning
• Optimization Algorithms
• +۵ مورد دیگر

Professor José Manuel Lanza Gutiérrez is affiliated with the Department of Computer Science at the University of Alcalá. He leads research in artificial intelligence, machine learning, and optimization algorithms, focusing on applications in wireless sensor networks, edge computing, and affective computing. He is part of the INTELIA (Interaction Technologies and Artificial Intelligence Lab), TIFyC (Information Technologies for Training and Knowledge), and PMI (Intelligent Mobile Platforms) research groups. He earned his PhD from the University of Extremadura in 2015, with a thesis on multiobjective metaheuristics for wireless sensor network optimization, supervised by Dr. Juan Antonio Gómez Pulido. His research interests span emotion recognition, IoT security, and optimization techniques for cryptography and sensor networks. Recent work includes the WEMAC dataset for emotion recognition, the Bindi wearable system to combat gender-based violence, and edge computing for healthcare monitoring. Publications highlight trends in multimodal affective computing, metaheuristic-based cryptographic solutions, and IoT-driven healthcare systems. His work bridges theoretical optimization with practical applications in safety, healthcare, and social justice. Lanza Gutiérrez has contributed to multiple collaborative projects and integrates machine learning with embedded systems for real-world impact. His labs and teams focus on interdisciplinary solutions for smart technologies and societal challenges.

• Cardiovascular Biomarkers
• Clinical Biochemistry
• Atrial Fibrillation
• +۵ مورد دیگر

Garry McDowell serves as a Reader in Clinical Biochemistry within the Department of Pharmacy and Biomolecular Sciences at Liverpool John Moores University's Faculty of Science. His research bridges clinical biochemistry and cardiovascular medicine with a strong focus on biomarker validation for risk stratification. His primary research interests center on cardiovascular biomarkers for hypertension-mediated organ damage, atrial fibrillation complications, and kidney-heart interactions. He employs both traditional epidemiological methods and advanced machine learning techniques to analyze large datasets from global federated health networks. Key areas include sarcopenia-cardiovascular risk relationships, vitamin D's role in multiple sclerosis cardiovascular outcomes, and oxidative stress in cardiometabolic syndromes. Analysis of his recent publications reveals a consistent pattern of biomarker-focused research applied across diverse patient populations including hemodialysis patients, stroke cohorts, and ethnic-specific atrial fibrillation registries. His work frequently leverages real-world data from international collaborations like the TriNetX network. His research has been supported through collaborative projects involving major federated health databases, though specific grant details aren't visible in the provided text. He regularly collaborates with leading cardiovascular researchers including Gregory Y.H. Lip across multiple institutions. McDowell maintains active involvement in clinical cardiology research through the TARGET consortium developing virtual twin technology for stroke management in atrial fibrillation, reflecting his commitment to translating biomarker research into personalized clinical applications.

Rory Wolfeمشاهده پروفایل

استاد

• Biostatistics
• Statistical Methodology
• Clinical Trials
• +۷ مورد دیگر

Rory Wolfe is a Professor and the Statistical Director at the Monash University Clinical Trials Centre , Monash University, where he has been a biostatistician since 2000. He also leads the Australian Trials Methodology Research Network and is a member of the Statistical Society of Australia. Education: PhD in Applied Statistics, University of Southampton (UK) Postdoctoral Research in Statistical Methodology for Longitudinal Studies His research interests center on biostatistics and statistical methodology applied to health research, with a focus on clinical trials , longitudinal studies , cohort studies , and risk prediction models . He has made significant contributions to aging research through his role as Principal Investigator (co-lead with Prof Joanne Ryan) in the ASPREE study , a major international cohort study on aspirin use and healthy aging. His methodological work supports public health and epidemiological research across diverse domains. The most recent publications highlight a strong trend in aging, cognitive decline, dementia, and cardiometabolic health , with applications in neurology, nephrology, and nutrition. His work frequently appears in high-impact journals such as Neurology , JAMA Network Open , and Kidney International Reports , utilizing advanced statistical modeling on large cohort datasets. Scientific Awards: Australian Rheumatology Association, Annual Scientific Meeting, Best Clinical Paper Award (2023) Rory Wolfe has been actively involved in numerous research grants and collaborative projects, including NHMRC-funded initiatives like Better health through better trials , which aims to innovate clinical trial methodology. He has served as a Chief Investigator in major projects related to heart disease, mitochondrial donation, melanoma detection, and rheumatoid arthritis. He also contributes to postgraduate education via the Biostatistics Collaboration of Australia and Monash University. He is affiliated with the Victorian Centre for Biostatistics (VicBiostat), where he has served on the management committee for over a decade. Laboratories and Research Networks: He leads statistical operations at the Monash University Clinical Trials Centre and is central to the Australian Trials Methodology Research Network, fostering national collaboration in trial design and analysis.

• Biosignal Processing
• Cardiac Electrophysiology
• Heart Rate Variability Analysis
• +۴ مورد دیگر

Prof. Dr. Georg Schmidt is a Professor of Biosignal Processing at the TUM School of Medicine and Health (Technical University of Munich). His research focuses on non-invasive cardiac risk assessment using electrocardiography (ECG) and heart rate variability (HRV) analysis, with emphasis on mortality prediction, arrhythmia detection, and telemedicine integration. He leads major studies like the EU-CERT-ICD cohort and the German National Cohort (NAKO), exploring topics such as ICD efficacy, gestational diabetes impacts, and data protection standards in healthcare. Key affiliations: TUM School of Medicine and Health, Department of Biosignal Processing Leadership roles: Humboldt/Heisenberg Professorship eligibility (per faculty listings) Research interests include: Cardiac autonomic function and arrhythmia risk ECG-based biomarkers for mortality prediction Interoperability of medical devices in smart hospitals Ethical frameworks for secondary use of health data Publications highlight contributions to ICD therapy optimization, fetal cardiac monitoring, and telemedicine in post-COVID scenarios. His work bridges clinical cardiology with engineering innovations in biosignal analysis. Awards: Not explicitly mentioned in provided texts. Advising/Grants: No listed students, but leads large collaborative research projects. Grants likely tied to EU-CERT-ICD and NAKO initiatives. Labs/Teams: Involved in TUM's biosignal processing and telemedicine integration teams.

• Sleep-disordered breathing
• Sleep medicine
• Obstructive sleep apnea
• +۷ مورد دیگر

Overview Professor Peter Cistulli is a leading academic in Sleep Medicine at the University of Sydney, holding the ResMed Chair at the Charles Perkins Centre and Northern Clinical School. He directs the Sleep Research Theme and the Centre for Sleep Health & Research at Royal North Shore Hospital. With 35 years of experience, his work focuses on sleep-disordered breathing, obesity-cardiovascular interactions, and innovative therapies like oral appliances for sleep apnea. Research & Awards His $26M+ NHMRC-funded research spans sleep apnea pathophysiology, craniofacial morphology, and sleep’s role in chronic diseases. He has pioneered oral appliance therapy and been awarded global recognition, including the American Academy of Sleep Medicine Fellowship and the Belgian Dental & Surgical Sleep Medicine Career Award. His work emphasizes interdisciplinary collaboration, with projects in Iceland, Canada, Hong Kong, and the U.S. Teaching & Leadership He founded the Sleep Medicine Discipline at Sydney Medicine and teaches postgraduate courses. He previously led the Australasian Sleep Association and Sleep Health Foundation. Current research includes the Sleepy Hearts and CardioSleep projects, exploring sleep-cardiac interactions and acute coronary syndrome. Awards Highlights 2024: American Academy of Sleep Medicine Fellow 2024: iBEDSSMA Career Award 2019: European Academy of Dental Sleep Medicine Lifetime Achievement

Cassandra Pattinsonمشاهده پروفایل

پژوهشگر ارشد

• Sleep Research
• Circadian Rhythms
• Child Health
• +۴ مورد دیگر

Dr. Cassandra Pattinson is a Senior Research Fellow at the Child Health Research Centre within the Faculty of Health, Medicine and Behavioural Sciences at the University of Queensland. She is also affiliated with the ARC Centre of Excellence for the Digital Child and the ARC Centre of Excellence for Children and Families Over the Lifecourse. Her research focuses on exploring the effects of sleep and circadian rhythms on health, wellbeing, and recovery across the lifespan. Dr. Pattinson holds a Doctor of Philosophy from Queensland University of Technology. Her research has been supported by major funding bodies including the Australian Research Council (ARC), National Health and Medical Research Council (NHMRC), National Institutes of Health (NIH), and the Defence Science and Technology Group (DSTG). Her work spans diverse populations including children, adolescents, military personnel, and athletes. She employs multiple methodologies such as longitudinal studies tracking large child cohorts (>2000 children), physiological measurements (actigraphy, spectrometry), and biological analyses (hormones, proteomic, genomic). Dr. Pattinson is particularly known for her research on sleep practices in childcare settings, environmental light exposure effects on children's health, and the relationship between sleep, digital technology, and wellbeing across the lifespan. Analysis of Dr. Pattinson's recent publications reveals a strong focus on sleep health across different populations and contexts. Her research examines sleep patterns in children, adolescents, young adults, and vulnerable populations including those experiencing homelessness. She investigates the impact of environmental factors (light exposure, digital technology), traumatic events (flooding), and military service on sleep quality and health outcomes. Her methodological approaches span from population-based studies to biomarker identification and wearable technology applications. ARC Discovery Early Career Award (2025) Dr. Pattinson has an active supervision record, currently advising on 'The Role of Heart Rate Variability in Fatigue Assessment: A Multimodal Approach' and having recently completed supervision of PhD projects on 'Improving sleep health in young adults' and 'Sleep, plasticity, and non-invasive brain stimulation.' Her current funding includes the ARC Discovery Early Career Researcher Award project 'Understanding Light, Technology, and Environments of Children' (2025-2028) and the ARC Discovery Projects grant 'The developmental significance of sleep transition in early childhood' (2020-2025). At the Child Health Research Centre, Dr. Pattinson is part of the Community Sleep Health Group, which collaborates on issues related to sleep and technology, sleep and the environment (including disasters), mental health and wellbeing, pain, disability, and new technologies and approaches.

Emanuel Severusمشاهده پروفایل

مدرس مشاور

• Bipolar Disorders
• Digital Phenotyping
• Ecological Momentary Assessment (EMA)
• +۳ مورد دیگر

Emanuel Severus holds the position of Consultant in the Department of Psychiatry and Psychotherapy at Technische Universität Dresden's University Hospital Carl Gustav Carus since 2014. Previously, he served as a Senior Physician at LMU München (2007–2011) and TU Dresden (2012–2013), and a Research Fellow at Harvard Medical School's McLean Hospital (1999–2001). His academic background includes an MD from Humboldt-Universität zu Berlin (1988–1996), postgraduate training in Psychiatry at FU Berlin and LMU München, a PhD (2002), and a Habilitation (2015) in Psychiatry from TU Dresden. His research focuses on bipolar disorders, digital phenotyping, and e-mental health. Key interests include optimizing lithium therapy protocols, investigating cognitive deficits in bipolar patients, and advancing clinical trial methodologies for depression treatments. He has contributed to pioneering work in smartphone-based ambulatory assessment systems for bipolar disorder management. Severus has held editorial roles since 2012 as Managing Editor of the International Journal of Bipolar Disorders . His honors include the Glaxo Wellcome Stipendium (1999) and Lilly Young Investigator Fellowship (2007), and recognition as a 'Top-Mediziner' for depression and bipolar disorder treatment (2014–2019). His work bridges clinical practice innovation with rigorous research, emphasizing translational mental health solutions.