جستجوی استاد راهنمای دانشگاهی

Professor Ngaire Kerse is a distinguished faculty member at Newcastle University specializing in geriatric research, with primary focus on the health and well-being of older adults through the Life and Living in Advanced Age: A Cohort Study in New Zealand (LiLACS NZ). Her work centers on longitudinal investigations of Māori and non-Māori New Zealanders aged 80+ years, addressing critical challenges in aged care and healthy aging. Her research interests include: Physical activity measurement and mobility in residential care settings Nutritional requirements and dietary patterns in advanced age Cognitive impairment and vascular contributions to dementia Sedentary behaviour assessment using digital technology Falls prevention interventions for long-term care residents Application of wearable devices for real-world health monitoring Analysis of Professor Kerse's 15 most recent publications (2015-2024) reveals consistent methodological rigor through longitudinal cohort studies, multi-country collaborations, and systematic meta-analyses. Her work demonstrates strong integration of digital health technologies with traditional geriatric research, particularly evident in the LiLACS NZ cohort. Key thematic trends include the interplay between physical activity, nutrition, and health outcomes in the very old, with increasing emphasis on technology-enabled measurement tools and evidence-based interventions for residential care settings.

• Geriatrics
• Aging Research
• Physical Activity in Elderly
• +۳ مورد دیگر

Gosha Wojcik (formerly Colquhoun) is a Lecturer at Edinburgh Napier University's School of Health and Social Care. She specializes in behavioral science applications to combat antimicrobial resistance (AMR) and develops digital health interventions for critical care settings. Research Interests: Antimicrobial Resistance, Behavior Change, Critical Care Trials, Digital Health Interventions, Public Health, Environmental Microbiology, Health Technologies. Her recent work focuses on AI-mediated healthcare communication, diabetes management robotics, and optimizing antibiotic use through digital tools. Scientific Awards: Fellow of the Higher Education Academy Vale of Leven Travel Fellowship Grants: National Institute for Health Research (£199,513) for the SHORTER trial on sepsis antibiotic therapy.

• Antimicrobial Resistance
• Behavior Change
• Critical Care Trials
• +۴ مورد دیگر

Peter Jacko is a Senior Lecturer (Associate Professor) in Management Science at Lancaster University, UK, since 2013. He is affiliated with the Data Science Institute and STOR-i Centre for Doctoral Training. He holds a Ph.D. in Business Administration and Quantitative Methods from Universidad Carlos III de Madrid (2009) and degrees in Mathematics from Univerzita P.J. Šafárika v Košiciach (Slovakia). His research focuses on stochastic modeling, sequential decision-making, and optimal resource allocation, particularly in adaptive clinical trials, business systems, and communications networks. He has co-authored over 50 peer-reviewed publications and supervised numerous PhD students, some of whom have received awards. He is also a Senior Decision Scientist at Berry Consultants since 2021. Education: Ph.D. in Business Administration and Quantitative Methods (2009), Universidad Carlos III de Madrid D.E.A. in Statistics and Operations Research (2006), Universidad Carlos III de Madrid Mgr. (2003) and Bc. (2002) in Mathematics, Univerzita P.J. Šafárika v Košiciach Research Interests: Operational Research, Stochastic Modelling, Multi-armed Bandits, Resource Allocation, and Adaptive Clinical Trials Applications in healthcare, business decision-making, and communications networks Key Projects: Development of platform trial simulation tools (SIMPLE) Optimization of resource-constrained multi-project scheduling Professional Affiliations: Member of the Data Science Institute and STOR-i Centre for Doctoral Training External Scientific Member at Basque Center for Applied Mathematics (2009–2018) His work bridges mathematics, statistics, and computing to solve real-world problems, with a recent emphasis on patient-centric clinical trial design using multi-armed bandit frameworks.

• Mathematics
• Computer Science
• Economics & Business
• +۶ مورد دیگر

Dr Banafsheh Khosravi is a Senior Lecturer in Operational Research at the University of Portsmouth, affiliated with the School of Mathematics and Physics. She is a member of the Logistics, Operational Research and Analytics Research Group (LORA) and the Centre for Operational Research and Logistics (CORL). Her research focuses on mathematical modelling, combinatorial optimization, and applications in transportation and healthcare. She holds a PhD in Management Science from the University of Southampton, with earlier degrees in Industrial Engineering. Before joining Portsmouth, she worked at the University of Southampton's CORMSIS Centre and the University of Westminster's Health and Social Care Modelling Group. Dr Khosravi teaches Operational Research, Modern Computational Methods, and Supply Chain Management courses. She has supervised numerous academic projects and led industry-funded research with EPSRC, ESA, NHS, RSSB, and Arriva. Her work addresses challenges like railway scheduling, routing optimization, and healthcare capacity planning. She is a Fellow of the Higher Education Academy and contributes to professional organizations including The OR Society and IAROR. Her research trends span transportation logistics (railway rescheduling, electric vehicle routing) and healthcare systems (NHS patient activity forecasting). Recent work emphasizes risk-based surveillance and digital performance analysis in undersea infrastructure and insurance sectors. Collaborations with industry partners ensure practical impact across sectors like rail networks and space operations. Awards: Fellow of the Higher Education Academy (FHEA) Labs/Teams: LORA Group, CORL Centre, Intelligent Transport Research Cluster Grants: Funded by EPSRC, ESA, NHS, RSSB, Arriva

• Operational Research
• Logistics
• Mathematical Modelling
• +۶ مورد دیگر

Dr. Rachael Evans is a Clinical Associate Professor and Honorary Consultant Respiratory Physician at the University of Leicester's Department of Respiratory Sciences. Her work focuses on improving health outcomes for individuals with chronic breathlessness and post-COVID-19 complications through exercise physiology and rehabilitation strategies. She holds an NIHR Clinician Scientist Fellowship investigating symptom-based approaches to chronic conditions. Research Interests: Dr. Evans specializes in post-acute care for cardiorespiratory diseases, long-term condition management, and the holistic impact of post-COVID-19 sequelae. Her studies address rehabilitation efficacy, multimorbidity complexities, and diagnostic innovations like AI-driven spirometry interpretation. She also investigates immunocompromised populations' risks and long-term outcomes following SARS-CoV-2 infection. Key Contributions: Her research spans clinical trials (e.g., PHOSP-R exercise rehabilitation), systematic reviews on walking test metrics, and observational studies like the INFORM cohort analyzing immunocompromised vulnerability. She emphasizes translating research into clinical practice through structured diagnostic pathways and patient-centered interventions. Grants & Awards: Funded by the National Institute for Health Research (NIHR) through her Clinician Scientist Fellowship. Her work aligns with UK-wide initiatives like the PHOSP-COVID cohort study, integrating long-term follow-up and multidisciplinary approaches. Labs/Teams: Collaborates with multidisciplinary teams in respiratory medicine, rehabilitation science, and epidemiology, contributing to the EXPLAIN, C-MORE, and LOCOMOTION consortia focusing on post-COVID-19 recovery and chronic disease management.

• Chronic Breathlessness Management
• Exercise Physiology
• Post-Acute Respiratory Rehabilitation
• +۳ مورد دیگر

Dr. Yue Wu is a Lecturer in the Department of Mathematics and Statistics at the Faculty of Science, University of Strathclyde. She is actively engaged in research and teaching, with a strong focus on stochastic and numerical analysis. She is affiliated with the Alan Turing Institute as a Visiting Researcher and collaborates internationally on advanced mathematical and data science projects. Research Interests: Numerical analysis for stochastic (partial) differential equations (SDEs/SPDEs) Random periodic solutions and their numerical approximation Rough path theory and signature methods Applications in machine learning, data science, and engineering systems Her recent work bridges pure stochastic analysis with practical applications in AI, autonomous systems, and industrial diagnostics. She employs advanced mathematical tools such as log-signatures and randomized numerical schemes to solve complex real-world problems. Publication Trends: Dr. Wu's recent publications (2022–2025) show a strong trend toward integrating stochastic numerics with machine learning. Her work spans theoretical convergence analysis of numerical schemes, feature extraction using rough paths, and PDE-informed deep learning. There is a clear interdisciplinary focus, connecting mathematics with engineering and computer science. Scientific Awards: Strathclyde & TU Braunschweig Joint Collaborative Funding Recipient (2023) ICIAM2023 Financial Support Scheme 2 Recipient (2023) Turing Network Development Award: Trailblazers Competition Recipient (2022) Lower Saxony – Scotland Tandem Fellowship Recipient (2022) Advising and Grants: Dr. Wu is accepting PhD students and offers projects in stochastic numerics and rough path applications. She has secured funding as Principal Investigator (e.g., International Exchanges Round 3) and Co-investigator (e.g., AI-based asteroid navigation project with ESA). Her grants reflect strong international collaboration and interdisciplinary innovation. Labs and Teams: While no specific lab name is mentioned, Dr. Wu is part of active research networks including the Alan Turing Institute and collaborates with teams in aerospace, data science, and applied mathematics. She organizes seminars and workshops, indicating leadership in her research community.

• Stochastic Analysis
• Numerical Analysis
• Stochastic Differential Equations
• +۸ مورد دیگر