Find Academic Supervisors

• Economics
• Environmental Economics
• Energy Policy
• +3 more

Svetlana Maslyuk is a Lecturer and Researcher affiliated with the School of Arts and Humanities within the Faculty of Education and Arts. Her research spans economics, environmental policy, and financial systems, with a focus on energy consumption patterns, economic growth determinants, and tax revenue dynamics in developing nations. She has collaborated with institutions across multiple countries, contributing to interdisciplinary studies in applied economics and education. Her research interests prominently feature the intersection of energy policy and economic development, particularly in Africa and Asia. She also explores educational assessment practices in higher education, as evidenced by collaborative work on student perspectives in university settings. Key research trends in her publications include analyzing stochastic convergence in energy consumption, evaluating stock market impacts on economic growth, and investigating the environmental and fiscal implications of carbon taxation. Her work frequently employs advanced econometric techniques such as panel data analysis and cointegration testing. Maslyuk has authored/co-authored over a dozen peer-reviewed journal articles and book chapters, with contributions to outlets like Applied Economics , Journal of Developing Areas , and Energy Economics . Her research has addressed diverse topics including renewable energy adoption, Malaysian tax-revenue linkages, and Australian coal mining resilience to economic shocks.

• Bayesian Statistics
• Time Series Analysis
• Econometrics
• +3 more

Gregor Kastner is Professor and Deputy Head of the Institute of Statistics at the University of Klagenfurt. His research focuses on Bayesian statistics, time series analysis, econometrics, and computational methods, with applications in finance, economics, and environmental modeling. He develops statistical software including packages for stochastic volatility modeling in R. Kastner's methodological work centers on Bayesian inference for high-dimensional problems, developing efficient computational algorithms for complex models. His applied research examines volatility dynamics in financial markets, macroeconomic forecasting, and spatial analysis of economic indicators. Recent projects include Bayesian nonparametric clustering for evaluating agricultural subsidies in Europe, sparse vector autoregressions for high-dimensional forecasting, and stochastic volatility models for commodity markets. He maintains active collaborations across economics, finance, and environmental science disciplines.

• Public Engagement
• Participation and Democracy
• Sustainability
• +7 more

Jason Chilvers is a Professor of Environment & Society at the School of Environmental Sciences, University of East Anglia. He is Chair of the Science, Society and Sustainability (3S) Research Group and Head of Social Science in the School. His research focuses on participatory practices, climate change governance, energy transitions, and the social dimensions of emerging technologies. He serves as Co-Director of the UK Energy Research Centre (UKERC) and directs its Public Engagement Observatory. Chilvers holds editorial board roles for Nature and Culture (2021–2026) and Annals of the American Association of Geographers (2020–2023). His work bridges Science and Technology Studies (STS) with human geography, emphasizing relational approaches to public participation. Key contributions include Remaking Participation (2016), which received the 2018 EASST Amsterdamska Award. Current projects include the FAB-GGR initiative on greenhouse gas removal, Natural England’s public engagement mapping, and Triple Carbon Reduction studies on smart water technologies. Chilvers advises UK government bodies like Defra and BEIS, and international organizations such as the Royal Society and UNEP. He teaches modules on science-society-sustainability linkages at UEA and serves as external examiner at the University of Manchester.

Donghyung LeeView profile

Assistant Professor

• Statistical Genomics
• Bioinformatics
• Biostatistics
• +3 more

Donghyung Lee is an Assistant Professor in the Department of Statistics at Miami University. His research focuses on statistical genomics and bioinformatics, particularly in developing computational tools for analyzing genomic data. He holds a Ph.D. in Statistics from Stony Brook University (2011). Dr. Lee’s work emphasizes applications in psychiatric genetics, single-cell RNA sequencing, and genomic imputation. He has developed influential R packages like GAUSS and ZMIX for analyzing cosmopolitan cohorts and estimating ancestry proportions. His research also addresses challenges like batch effect correction in single-cell data and detecting hidden variation in transcriptomes. His recent studies include genome-wide association studies of anxiety disorders, co-expression analyses of schizophrenia genes, and pathway methods to uncover molecular mechanisms of psychiatric disorders. His contributions to statistical frameworks for genomic data analysis have enhanced precision in psychiatric GWAS and functional genomics.

Neil GlasserView profile

Professor

• Glaciology
• Glacial Geomorphology
• Ice Sheet Dynamics
• +1 more

Neil Glasser is Professor and Pro Vice-Chancellor of the Faculty of Earth and Life Sciences at Aberystwyth University, leading interdisciplinary research in glaciology and glacial geomorphology. His work examines ice sheet dynamics, glacial landform evolution, and climate change impacts across the Arctic, Antarctic, Himalayas and Patagonia. Major research includes the MAGIC-DML project reconstructing Antarctic ice sheet history, analysis of Tropical Andean glacial lake outburst floods (GLOFs), and studies of debris-covered Himalayan glaciers. He currently directs investigations of glacier responses to climate change using field observations, remote sensing, and numerical modeling. Research Publications Over 200 publications demonstrate extensive contributions to understanding ice sheet history, glacial hazards, and landscape evolution. Recent work focuses on structural controls on glacier behavior, ice stream dynamics during past warm periods, and GLOF triggers in mountain regions. Honors and Leadership Fulbright Distinguished Scholar at National Snow and Ice Data Center (2006-2007) President of Quaternary Research Association (2017-present) Editor, Journal of Glaciology Founding Editor, Quaternary Sciences Advances

Jennifer StewartView profile

Professor

• Health Economics
• Labour Economics
• Public Policy
• +5 more

Jennifer Stewart is a Professor at the School of Public Policy and Administration, Carleton University. Her research focuses on health and labour economics, particularly the interplay between maternal employment and child outcomes, including long-term educational, economic, and health impacts. She also examines gender dynamics in resource sectors, such as artisanal mining in Africa and Australia, emphasizing policy implications for equity and empowerment. Her academic contributions span over three decades, with notable work on maternal employment effects, income disparities in mental health access, and gender barriers in African mining economies. Awards include the CAUT Dedicated Service Award (2015) and the Dean’s Award for Excellence in Graduate Research (1999). Her recent research explores regulatory outcomes in the Australian mining sector and income-based inequities in mental health services. Key themes in her publications include policy interventions for gender equity, the socioeconomic determinants of child obesity, and cross-country analyses of education-to-employment gaps for students with disabilities. Key Research Areas: Maternal Employment Impacts, Mining Sector Governance, Gender Empowerment, Child Development Economics. Selected Awards: CAUT Dedicated Service Award (2015), Dean’s Award (1999). Recent Projects: Formalization of artisanal mining, maternal work schedules and child health, income inequality in healthcare access.

Gaya AbeywickramaView profile

Senior Lecturer

• Global Health
• Social Inequalities
• Public Health
• +5 more

Dr. Gaya Abeywickrama is a Senior Lecturer in Community and Health at the Faculty of Health and Wellbeing, University of Winchester. She holds a PhD in Social Statistics and Demography from the University of Southampton (2021). Her research focuses on global health dynamics, particularly social and economic inequalities affecting children, youth, and women in disadvantaged communities. She specializes in quantitative data analysis using advanced statistical methods. Before joining Winchester, she worked at the UK Office for National Statistics (ONS), analyzing pandemic-era behavioral data during the 2020s. She collaborated with the University of Southampton on projects including socioeconomic analysis of South Asian communities in the UK and the Co-Power initiative addressing BAME community health issues. Her research portfolio spans malnutrition dynamics, maternal-child health linkages, demographic disparities in birth outcomes, and elder care challenges in Sri Lanka. Notable contributions include decomposition analyses of low birthweight inequalities and studies on urban fertility patterns among marginalized populations. Education: PhD in Social Statistics & Demography, University of Southampton (2021) Recipient of the Higher Education Academy Fellowship, her work bridges statistical rigor with real-world health policy applications. Current research emphasizes leveraging longitudinal data to address systemic health inequities in global contexts.

• Mechanical Engineering
• Vibration Analysis
• Condition Monitoring
• +9 more

Riccardo Rubini is a Full Professor at the University of Modena and Reggio Emilia, affiliated with the Department of Engineering Sciences and Methods . His academic roles include teaching and research in mechanical engineering, with a focus on machine dynamics, vibration analysis, and condition monitoring. His teaching responsibilities include courses such as Mechanics of Machines and Structures , Applied Mechanics to Machines , and Dynamics of Machines and Laboratory . His research interests span mechanical systems, bearing diagnostics, predictive maintenance, and non-stationary condition monitoring. He has contributed to advancing methodologies for fault detection in rolling bearings, vibration-based diagnostics, and the development of datasets for industrial applications like independent cart systems. His work emphasizes practical applications in industries such as packaging machinery and linear motor systems. Recent research trends in his articles (2020–2025) highlight advancements in data-driven diagnostics, shell models for nanotubes, and experimental modal analysis. He has also engaged in educational outreach, developing vibration concepts for high school students. His methodologies often integrate signal processing techniques, machine learning, and physical modeling to address challenges in mechanical systems' reliability and performance.

• Party Politics
• Political Behavior
• Political Communication
• +7 more

Dr. Kerem Yildirim is an Assistant Professor at Bilkent University's Department of Political Science and Public Administration. He holds a Ph.D. in Political Science and International Relations from Koç University (2016). His research focuses on party-voter linkages, political competition, and political behavior, particularly in Turkey. He is currently working on the Democratic Accountability and Linkages Project and finalizing a book titled Continuous Clientelism: Persuasion and Preference Change in Turkey . Research Interests: Party politics and electoral behavior Political communication in polarized systems Clientelism and informal political linkages Turkish political institutions and democratization Quantitative methods in political research Publications Trends: His recent work analyzes media effects in polarized systems, the role of clientelism in voter behavior, and the gender gap in local elections. He frequently collaborates with scholars on projects examining authoritarianism, conspiracy theories, and public health policy. Professional Development: No scientific awards listed. Current research includes experimental studies on persuasion in clientelist contexts and comparative analyses of political competition in transitional democracies.

Abhay SinghView profile

Associate Professor

• Climate Finance
• Sustainability
• Data Analytics
• +7 more

Abhay Singh is an Associate Professor in the Department of Applied Finance at Macquarie University and Director of the Macquarie University Nature Positive Finance and Business Research Centre. He specializes in Data Analytics, Financial Risk Modeling, and Sustainable Climate Finance. He leads interdisciplinary research projects in data science, securing over AUD 1.5 million in grants. His current projects include Machine Learning in FinTech, Vine Copula Analysis, and Social Media Analytics. Education PhD in Finance (Edith Cowan University, 2011) MBA in Management (Indian Institute of Information Technology, 2009) B.Tech in Information Technology (Indian Institute of Information Technology, 2009) Research Interests Climate Finance, Sustainability, Data Analytics, Financial Risk Modelling, Social Media Analytics, Machine Learning, and Econometric Modelling. Key Awards Edith Cowan University Research Medal (2011) Faculty of Business & Law Dean’s Early Career Research Award (2015) School of Business & Law Dean’s Early Career Research Award (2016) Finance Decision Lab Innovative Teaching Hub Award (2018) Grants & Projects Secured over AUD 1.5M in grants for projects including 'Sustainable Investment and Climate Risk Impact' (2023–2028) and 'Finance Decision Lab' (2018). Active in collaborative research across climate finance and data-driven analytics. Labs & Initiatives Leads initiatives such as the Centre for Corporate Sustainability and Environmental Finance, focusing on sustainable finance and corporate responsibility.

• Genetic Epidemiology
• Human Genetics
• Genomics
• +7 more

Dr. Kristin Ayers is a researcher at Newcastle University, specializing in genetic epidemiology and human genetics. Her work focuses on genome-wide association studies (GWAS), longevity, cardiovascular genetics, neurodegenerative disorders, and autoimmune diseases. She has collaborated extensively with Prof. Heather Cordell and other leading researchers, contributing to studies on aging mechanisms, blood pressure regulation, and congenital heart defects. Dr. Ayers has also developed statistical methodologies for analyzing genetic data, including penalized logistic regression techniques for variant grouping and SNP selection. Key research areas: Longevity genes, autoimmune diseases (e.g., Primary Biliary Cholangitis), cardiovascular risk factors, and neurodegenerative disorders. Notable contributions: Identification of genetic loci influencing human longevity, blood pressure traits, and Tetralogy of Fallot. Her publications span over 15 years, demonstrating a sustained focus on translating genetic insights into clinical and public health applications. No scientific awards are explicitly mentioned in the provided materials.

• Biodiversity Theory
• Ecosystem Ecology
• Community Ecology
• +5 more

Prof. Stan Harpole is a Professor and Department Head of Physiological Diversity at the German Centre for Integrative Biodiversity Research (iDiv) in Leipzig, with joint appointments at Helmholtz-Center for Environmental Research (UFZ) and Martin-Luther-Universität-Halle-Wittenberg (MLU). His research focuses on biodiversity theory, ecosystem ecology, and global change impacts, particularly in grassland and soil systems. He leads the Physiological Diversity Team and co-speaks the iDiv research platform. Key interests include ecological stoichiometry, niche theory, and mechanisms shaping species coexistence under environmental pressures. His work spans experimental and theoretical approaches, integrating field data with advanced techniques like imaging cytometry and smartphone-based biomass measurement. Prof. Harpole is a Highly Cited Researcher , reflecting his impactful contributions to global ecology. His research has been published in top journals such as Nature , Ecology Letters , and Proceedings of the National Academy of Sciences . Affiliations : iDiv, UFZ, MLU Grants : DFG Plant Sciences Panel funding Teams : Physiological Diversity Team, Nutrient Network (NutNet)

Fatemeh PourahmadianView profile

Assistant Professor

• Geomechanics
• Engineering Mechanics
• Wave Propagation
• +3 more

Fatemeh Pourahmadian is an Assistant Professor in the Department of Civil, Environmental and Architectural Engineering at the University of Colorado Boulder. Her research focuses on wave motion and inverse problems in engineering mechanics, particularly in complex materials such as metamaterials and porous media. Education: PhD in Civil Engineering, University of Minnesota (2016) MS in Geo-Engineering, University of Minnesota (2015) MS in Mechanical Engineering, Iran University of Science and Technology (2010) Research Interests: Wave propagation in heterogeneous materials Inverse scattering techniques Elastic-wave cloaking and nonlinear dynamics Development of computational methods for material characterization Key Themes in Publications: Recent work emphasizes machine learning-based approaches for ultrasonic imaging, fast Fourier transform solvers for micropolar composites, and inverse elastic scattering in time/frequency domains. Her studies bridge theoretical frameworks with experimental validations in geomechanics and material science. Professional Affiliations: Society of Engineering Science (SES) Engineering Mechanics Institute (EMI) American Society of Mechanical Engineers (ASME) American Rock Mechanics Association (ARMA)

Hakan ÖndesView profile

Lecturer

• Econometrics
• Panel Data Analysis
• Environmental Economics
• +4 more

Hakan Öndes is a Lecturer in the Department of Statistics at Bandirma Onyedi Eylul University's Faculty of Economics and Administrative Sciences. He also serves as Deputy Dean and has held research assistant roles at Gazi University (2014-2017). His academic focus includes econometrics, panel data analysis, spatial econometrics, and environmental economics. He has advised at least one master’s thesis on economic growth factors and contributed to projects like the 'Socioeconomic and Ecological Evaluation of Amateur Fishing'. He teaches courses ranging from econometrics to artificial neural networks and has published extensively in indexed journals. Research interests span economic growth determinants, financial development, migration patterns, and environmental policy impacts. His work frequently employs advanced statistical methods like panel data and spatial econometrics. Recent articles address financial inequality in emerging economies and suicide rate analysis in OECD countries. He has authored chapters in books such as Theory and Research in Social, Human and Administrative Sciences II (2020) and Economic Development and Financial Markets (2020). Professional contributions include organizing regional development symposiums and serving on academic committees. His teaching portfolio includes advanced mathematics, econometrics, and quality management courses at both undergraduate and graduate levels. Current administrative roles include Vice Dean responsibilities and leadership in academic governance.

Pär ÖsterholmView profile

Professor

• Macroeconomics
• Financial Economics
• Monetary Policy
• +4 more

Pär Österholm is a Professor of Financial Economics at Örebro University since 2016. He holds a PhD in Economics from Uppsala University (2004) and was an Associate Professor there until 2016. His research focuses on macro-finance, monetary policy, and forecasting, particularly analyzing interest rate markets, central bank communication, and the economic impact of the 2008 financial crisis. Österholm has held roles at the Riksbank (Sweden's central bank), the International Monetary Fund, and the National Institute of Economic Research. He has advised institutions like Kommuninvest and contributes to economic policy debates through media engagements. His research explores how unconventional monetary policies affect financial markets and the real economy. Key topics include the natural rate of interest, inflation dynamics, and the stability of economic relationships post-crisis. Österholm collaborates internationally, with visiting positions at the Federal Reserve and University of Sydney. His work often emphasizes empirical analysis using Bayesian methods and large datasets, with publications in journals like Journal of Monetary Economics and International Journal of Central Banking .