جستجوی استاد راهنمای دانشگاهی

• Neurodegenerative Diseases
• Dementia Care
• Parkinson's Disease
• +۸ مورد دیگر

Dr. Chantel Cox is a Senior Lecturer in Adult Nursing at Bournemouth University. She holds a leadership role in the Ageing and Dementia Research Centre and serves on the Oxford NHS Research Ethics Committee. With over 20 years in healthcare and nursing, her work focuses on humanized clinical and educational practices, particularly in neurodegenerative diseases like dementia and Parkinson’s. She leads the Living Well with Dementia continuing professional development unit and supervises four PhD students. Her research explores identity construction, relationships, and rehabilitation in aging populations. Key projects include the DIALOR initiative (digital health coaching for frailty), dementia care in South Asian communities, and caregiver support through technology. Her work aligns with UN SDGs for Good Health and Well-being and Quality Education. She has contributed to studies on stroke management, antiplatelet therapies, and postpartum complications through clinical trials and mixed-methods approaches. Dr. Cox’s academic contributions span gerontology, neurology, and digital health innovations. Her interdisciplinary collaborations bridge nursing, technology, and ethics to address aging-related challenges. Current research emphasizes practical solutions for older adults, including frailty interventions and culturally sensitive dementia care.

• Healthcare Education
• Musculoskeletal Disorders
• Pain Management
• +۳ مورد دیگر

Dr Jonny Branney is a Clinical Professor and Principal Academic in Nursing and Clinical Sciences at Bournemouth University's School of Health and Social Care. He also serves as Programme Leader for MSc Advanced Clinical Practice and its apprenticeship variant. With dual clinical registration as a critical care nurse and former chiropractor, he bridges clinical practice and academia. His research focuses on musculoskeletal pain mechanisms, spinal biomechanics, and innovative educational methods like Team-based Learning (TBL). Education: PhD in Healthcare Science (2014, Bournemouth University), with prior qualifications in nursing and chiropractic. Research highlights include award-winning doctoral work on spinal manipulative therapy mechanisms, funded projects on TBL applications in pain management, and a Royal College of Chiropractors fellowship exploring disc degeneration and neck pain. Key contributions include developing patient-centered clinical trial methodologies and advancing fluoroscopy-based cervical spine motion analysis. He has supervised three completed PhD students and holds grants from NIHR, Team-based Learning Collaborative, and the Royal College of Chiropractors. His work aligns with UN SDGs for Health & Well-being and Quality Education. Recent projects include stakeholder consultations on TBL for chronic pain management courses, funded by the NIHR RDS Southwest (2024) and TBL Collaborative (2024). He actively presents at international conferences, including presentations on TBL exam integration (2023) and cervical spine motion dynamics (2021). Awards include the Royal College of Chiropractors Early Career Fellowship (2019) and recognition for his doctoral research. He maintains academic networks through roles like RCC Early Career Fellowship mentorship and invited lectures on MRI techniques in clinical research.

James Morrisمشاهده پروفایل

پژوهشگر ارشد

• Alcohol Problems
• Stigma
• Framing
• +۳ مورد دیگر

Dr James Morris is a Visiting Scholar in the School of Applied Sciences at London South Bank University (LSBU), where he joined in 2020 as a Research Fellow for the Centre for Addictive Behaviours Research. He holds a PhD from LSBU (awarded 2020) and maintains dual roles as Alcohol Programme Manager at the Department of Health and Social Care since 2020 and former Director of The Alcohol Academy (2009-2020). His educational background centers on a PhD in addictive behaviors research completed at LSBU between 2016 and 2020. Dr Morris's research program critically examines alcohol problems through the lenses of stigma, framing, and problem recognition among harmful drinkers—a largely non-help seeking population. He investigates how low problem recognition and social stigma create barriers to intervention, with particular focus on identity management and defensive processing mechanisms. As Chair of the New Directions in the Study of Alcohol Group, he fosters interdisciplinary dialogue and hosts the 'alcohol problem' podcast to bridge academic research and public understanding. His work directly contributes to UN Sustainable Development Goals related to health and well-being. Analysis of his 28 publications (2020-2025) reveals a cohesive research trajectory examining sociocultural dimensions of alcohol use through mixed methodologies. His work spans qualitative focus groups, meta-syntheses, digital interventions, and policy analysis, consistently addressing how language, framing, and stigma shape public perception and policy development. Key thematic clusters include the psychology of denial among heavy drinkers, critical evaluation of alcohol terminology, and innovative approaches to changing public discourse on alcohol harm. No scientific awards are documented in the available information. While no formal advisees are listed, Dr Morris demonstrates significant leadership through external appointments: directing The Alcohol Academy (2009-2020) and currently managing national alcohol programs at the Department of Health and Social Care. His policy-focused work represents substantial grant-equivalent impact through government-commissioned initiatives and public health strategy development. His primary research base is LSBU's Centre for Addictive Behaviours Research, complemented by leadership of the New Directions in the Study of Alcohol Group—a collaborative network advancing critical perspectives on alcohol problems. The 'alcohol problem' podcast extends this work into public engagement, creating a dynamic platform for translating research into accessible discourse while challenging stigmatizing narratives in both academic and policy spheres.

• Dementia Prevention
• Minority Ethnic Health
• Mental Health (Depression)
• +۳ مورد دیگر

Amirah Akhtar is a NIHR ARC (Y&H) funded Research Fellow at the University of Bradford's Centre for Applied Dementia Studies (CfADS). Her research focuses on dementia prevention in minority ethnic groups, particularly examining modifiable risk factors like depression. With a PhD in Psychology, she employs qualitative methods such as in-depth interviews and thematic analysis. She has contributed to studies like the NIDUS project, delivering interventions for dementia patients and carers, and worked on the Born in Bradford cohort. Her work emphasizes cultural contexts in mental health, including maternal experiences and postnatal depression in South Asian communities. Her academic journey includes roles at Bradford Institute of Health Research (BIHR) and Bradford Teaching Hospitals Trust (BTHFT), where she engaged in patient/public involvement to promote dementia-friendly healthcare spaces. Amirah’s research spans dementia risk factors, non-pharmacological interventions, and reducing social isolation in marginalized populations. She has led scoping reviews exploring interventions for depression and dementia prevention across OECD countries. Her methodologies blend quantitative and qualitative approaches, addressing health equity through culturally sensitive practices. Amirah’s grants include NIHR funding for her postdoctoral work. She collaborates with multidisciplinary teams on projects like the NIDUS-Professional training program for homecare workers. Her work bridges academic research and practical healthcare solutions, aiming to improve dementia care and mental health outcomes in diverse populations.

• Midwifery Education
• Evidence-Based Midwifery
• Professional Identity in Midwifery
• +۳ مورد دیگر

Robin Parsons is a Senior Lecturer in Midwifery at Middlesex University, affiliated with the Faculty of Health, Social Care and Education and the Department of Adult, Child & Midwifery. She leads the BSc Midwifery Short Programme and teaches courses like MWY2901 Fundamentals of Midwifery Practice and MWY3801 Consolidating Antenatal and Postnatal Care. Currently pursuing a PhD, her research explores how discourse shapes midwives' professional identities and examines NHS maternity policies. Her teaching emphasizes simulation, reflection, and evidence-based care to prepare future midwives. Education: Pursuing a PhD at Middlesex University. Prior career as a research midwife transitioned into academia in 2020. Research interests focus on midwifery education innovation, evidence-based practices, and policy analysis. She develops digital tools like branching scenario simulations for midwifery training and investigates qualitative research methods in healthcare contexts. Her work bridges practice and academia, emphasizing student-centered curricula and professional identity formation. Publications span midwifery education strategies, qualitative research techniques, and policy discourse analysis. Recent work includes a student-centered curriculum model and critical analysis of NHS maternity policies. Awards: None explicitly listed. Supervises student research and oversees midwifery education programs. Engaged in curriculum development and digital pedagogy initiatives. Labs/Teams: Active within the Adult, Child & Midwifery department, contributing to evidence-based practice initiatives and policy research collaborations.

Michèle Birtelمشاهده پروفایل

دانشیار

• Health Equity
• Social determinants of health
• Stigma
• +۳ مورد دیگر

Dr. Michèle Birtel is an Associate Professor of Social Clinical Psychology at the University of Greenwich's School of Human Sciences, where she serves as Centre Lead of the Centre for Mental Health and Director of the Health Inequalities and Stigma Lab. Her research focuses on health equity, social determinants of health, stigma dynamics, intergroup relations, AI applications in health, and cyber security/online harms. Dr. Birtel holds a PhD in Social Psychology from the University of Kent and a Diploma in Psychology from the University of Mannheim. She teaches courses in psychopathology, clinical psychology, social psychology, and research methods. Her extensive publication record demonstrates interdisciplinary research spanning social psychology, health disparities, and technology applications. Recent work explores VR-based pain perception studies, pandemic-related behavior changes across cultures, interventions for political polarization, and machine learning models for attitude prediction. Her research consistently addresses pressing societal issues through innovative methodologies. Dr. Birtel actively contributes to academic discourse through international collaborations and welcomes PhD applications. She maintains research affiliations with the University of Vienna as a Senior Research Fellow in Health Psychology.

Prabin Khadkaمشاهده پروفایل

مدرس

• Conflict Studies
• Peacekeeping
• Counter-Insurgency
• +۵ مورد دیگر

Dr. Prabin Khadka is a Lecturer in the Department of Government at the University of Essex. His research focuses on social cohesion in contexts of peacekeeping, counter-insurgency, counter-violent extremism, and development efforts, with recent emphasis on climate change-driven displacement. He employs field experiments, randomized controlled trials, and behavioral games in Africa and conflict zones like Somalia and Nepal. Qualifications include a PhD from New York University and an MA from Georgetown University’s School of Foreign Service. He joined Essex in June 2020 and maintains academic support hours on Tuesdays. Key research areas include: Peacekeeping ethics and misconduct Militant reintegration processes Climate-induced migration dynamics Trust in security actors in conflict zones His experimental work in Somalia examines themes like vaccine demand amid conflict, gender-based violence reporting, and traditional authority roles in extremism. No scientific awards are listed, but his grants and funding details are available through university channels. He advises no listed students but contributes to policy-relevant research in conflict-affected regions.

Abhimanyu Guptaمشاهده پروفایل

استاد

• Econometrics
• Economic History
• Spatial Econometrics
• +۳ مورد دیگر

Professor Abhimanyu Gupta is an academic at the University of Essex specializing in econometrics and economic history. His research spans theoretical and applied econometrics, with a focus on spatial econometrics and statistical theory. PhD (London School of Economics, 2013) MSc (London School of Economics, 2008) BA (University of Delhi, 2006) His key research areas include: Spatial Autoregressive Models High-Dimensional Parameter Estimation Credit Market Network Analysis Robust Time Series Inference Recent publications analyze spatial interaction functions, financial networks, and nonparametric prediction methods. Awards include grants from the Leverhulme Trust and British Academy . He supervises PhD students in economics and teaches econometric methods courses.

Oludare Ariyoمشاهده پروفایل

مدرس

• Biostatistics
• Data Science
• High-Dimensional Data Analysis
• +۴ مورد دیگر

Dr. Oludare Ariyo is a Lecturer in the Department of Mathematical Sciences at the University of Essex, part of the School of Mathematics, Statistics and Actuarial Science (SMSAS). He holds a PhD in Biostatistics from KU Leuven (2020) and has extensive experience in academia, including a previous position as Lecturer in Statistics at the Federal University of Agriculture, Abeokuta (2013–2022), and a Research Associate role at KU Leuven’s Department of Public Health and Primary Care (2016–2020). Education: PhD (Biostatistics), KU Leuven, Belgium (2020) M.Sc. (Statistics), Federal University of Agriculture (2010) B.Sc. (Mathematical Sciences), Federal University of Agriculture (2005) Research Interests: Dr. Ariyo focuses on statistical methodology in health, environment, agriculture, and social sciences. His work emphasizes Bayesian model selection for longitudinal and mixed-effects models, high-dimensional data analysis, survival analysis, and applications in biostatistics and data science. He currently leads a Royal Society-funded project developing structured covariance Bayesian models and collaborates with institutions like the International Institute of Tropical Agriculture. Grants & Supervision: Recipient of Royal Society funding for Bayesian covariance modeling research Open to PhD supervision in Bayesian statistics, biostatistics, mixed models, and machine learning Labs & Collaborations: Engaged in interdisciplinary projects at the intersection of statistics, agriculture, and public health, with past affiliations at the National Horticultural Research Institute (NIHORT), Ibadan, Nigeria.

Tao Gaoمشاهده پروفایل

مدرس

• Nonlinear Waves
• Fluid Mechanics
• Numerical Mathematics
• +۳ مورد دیگر

Dr Tao Gao is a Lecturer in Mathematical Sciences at the University of Essex, affiliated with the School of Mathematics, Statistics and Actuarial Science. Prior to this role, he held positions including Research Fellow at the University of Greenwich, Research Associate at the University of Bath, and LMS Research Fellow at Imperial College London. His expertise spans free boundary problems, nonlinear waves, numerical and applied mathematics, uncertainty quantification, and optimisation. Dr Gao holds a PhD in Mathematics from University College London (2016), an MSc in Mathematical Modelling from UCL (2011), an MSc in Applied Mathematics from Imperial College London (2010), and a bachelor's degree in Mathematics from Université Paris VI (2009). His research focuses on fluid mechanics, particularly free-surface waves, fluid-structure interactions, and electrohydrodynamics. Recent work explores stochastic systems, reinsurance optimisation, and nonlinear wave dynamics under electric field influences. His publications demonstrate contributions to numerical methods for hydroelastic waves, bifurcation mechanisms in solitary waves, and flow structures in complex fluid environments. Dr Gao's academic journey includes postdoctoral research at Imperial College London, the University of Bath, and the University of Greenwich, alongside teaching roles at Essex International College. His research interests emphasize both theoretical advancements and practical applications in mathematical sciences.

Alexandros Vasilopoulosمشاهده پروفایل

پژوهشگر

• Statistical Mechanics
• Condensed Matter Physics
• Computational Physics
• +۳ مورد دیگر

Dr. Alexandros Vasilopoulos is a Senior Research Officer at the School of Mathematics, Statistics and Actuarial Science (SMSAS) at the University of Essex. He holds a PhD in Physics from Coventry University (2024). His research focuses on computational statistical mechanics, particularly phase transitions in lattice models such as the Blume-Capel, Ising, and Baxter-Wu systems. He specializes in advanced simulation techniques including Monte Carlo methods and GPU-accelerated algorithms. Dr. Vasilopoulos has published extensively on critical phenomena, universality classes, and finite-size scaling in two-dimensional spin systems. His work addresses both equilibrium and nonequilibrium dynamics under various external conditions, such as nonantisymmetric magnetic fields and quenched disorder. He collaborates with international teams to conduct massive-scale simulations and analyze energy/magnetization distributions at critical points. Recent projects include studying tricriticality in the triangular Blume-Capel ferromagnet and exploring exotic dynamics in mesoscopic spin systems. His contributions advance understanding of universality in diluted models and computational efficiency in high-performance physics simulations.

• Metamaterials
• Biological Tissue
• Dielectric Response
• +۳ مورد دیگر

Tatjana Gric is a Visiting Fellow at the Aston Institute of Photonic Technologies (AiPT) within the College of Engineering and Physical Sciences at Aston University, UK. Her research focuses on metamaterials, biological tissue analysis, dielectric response modeling, surface plasmon polaritons, semiconductors, and clinical applications. She contributes to interdisciplinary projects bridging photonics, biomedical engineering, and materials science. Her work emphasizes applying metamaterials in biomedical contexts, such as tumor cell analysis and tissue biopsy imaging formalization. Key research trends include nonlinear optical properties of proteins, numerical simulation of disordered metasurfaces, and beam steering in semiconductor-based devices. Collaborations involve international teams across photonics and biomedical fields. Notable outputs include peer-reviewed articles in Protein Science and Optics Express , and a chapter in Advanced Photonics Methods for Biomedical Applications . Her research has garnered citations and media attention, reflecting its relevance in photonics engineering and clinical diagnostics.

• Probability
• Stochastic Processes
• Markov Processes
• +۵ مورد دیگر

Vadim Shcherbakov is a Reader in the Department of Mathematics at Royal Holloway, University of London, specializing in probability theory and stochastic processes with applications in finance and complex systems. Education: MSc, Faculty of Mechanics and Mathematics, Moscow State University PhD, Faculty of Mechanics and Mathematics, Moscow State University His research focuses on the asymptotic behavior of interacting Markov processes, including birth-and-death systems, competition models, and graph-based growth processes. He develops mathematical frameworks for understanding long-term dynamics in stochastic systems with interactions, while also applying probabilistic methods to financial modeling, particularly in volatility analysis and interest rate derivatives. His work bridges theoretical probability with practical financial applications through rigorous asymptotic analysis. Recent publications demonstrate a strong convergence between stochastic process theory and quantitative finance, with significant contributions to superdiffusive random walks, local volatility modeling, and interacting particle systems. Key trends include diffusion limit theorems for interacting queues, extreme behavior analysis in discontinuous volatility models, and polynomial drift effects in planar random walks. Research Grants: Super-diffusive random walks (London Mathematical Society, Jan 2024) Near Critical Stochastic Systems workshop for M. Menshikov's 70th Birthday (London Mathematical Society, Mar 2018) Research in Pairs collaboration with Prof. M. Menshikov (Oct 2016) Asymptotic behaviour of locally interacting birth-and-death processes (Jul-Aug 2015)

• Bayesian Models
• Complex Networks
• Disclosure Risk Assessment
• +۳ مورد دیگر

Francesca Panero is an Assistant Professor (RTT) in Statistics at Sapienza University's Department of Methods and Models for Economics, Territory and Finance (MEMOTEF), with a concurrent role as Visiting Fellow at the London School of Economics (LSE) Department of Statistics. She holds a PhD in Statistics from the University of Oxford and prior degrees from the University of Turin and Collegio Carlo Alberto. Her research focuses on Bayesian models applied to complex networks , disclosure risk assessment , and Gaussian process modeling . Current projects include Bayesian nonparametric frameworks for sparse networks, spatio-temporal food insecurity prediction, and fair machine learning methodologies. She leads the GENIAL initiative at LSE, exploring GenAI's educational impact. She teaches courses on Probability and Stochastic Processes (Sapienza) and Deep Learning/Artificial Intelligence (LSE). Awards include the 2025 USI Visiting Lectureship and j-ISBA Chair Elect (2025-2026) . Her work is supported by grants such as the LSE RISF fund for food insecurity research. Publications span topics like graphex processes, fair ML algorithms, and optimal risk assessment methodologies. She actively engages in policy discussions through collaborations with organizations like the UN World Food Programme Hunger Monitoring Unit.

Cansin Arslanمشاهده پروفایل

پژوهشگر ارشد

• Economics of gender
• Diversity, equity and inclusion (DEI)
• Behavioural economics
• +۲ مورد دیگر

Dr. Cansin Arslan serves as a senior research fellow at the University of Exeter and holds a visiting position at the London School of Economics (LSE) within the Department of Social Policy. An expert in behavioral economics and gender economics, she designs evidence-based interventions to reduce workplace bias and advance diversity and inclusion through rigorous field experimentation. Education: Doctorate in Economics (University of Goettingen, Germany), MicroMasters in Data, Economics, and Development Policy (MITx, USA), Master's in Quantitative Economics (Paris School of Economics, France), Bachelor's in Economics (Yeditepe University, Turkey). Her research program bridges corporate DEI initiatives and development economics, employing randomized controlled trials to study hiring processes, performance evaluations, and agricultural value chains. Current collaborations include Ageas Insurance, Bristol City Council, Ericsson, Nationwide, Phoenix Group, Ringier, UKRI, and Zurich Insurance. Recent publications in Science and Harvard Business Review address behavioral solutions for diverse hiring, while her development work in Uganda examines hidden income dynamics and coffee value chains. With extensive field experience across multinational firms and developing countries, Dr. Arslan leads global research teams and translates findings into organizational practice through evidence-based DEI strategies and policy recommendations.