Find Academic Supervisors

• Landscape Ecology
• Functional Ecology
• Community Ecology
• +3 more

Ronan Marrec is a Full Professor at the University of Picardie Jules Verne, affiliated with the Faculty of Sciences and CNRS research unit UMR 7058 EDYSAN (Ecology and Dynamic of Anthropogenic Systems). His research examines spatial and temporal dynamics of human-modified landscapes and their impacts on biodiversity across multiple scales, integrating field studies, remote sensing, and ecological modeling. Education Doctor of Biology, Ecology and Agronomy (University of Poitiers) Research Focus Marrec's work centers on landscape ecology, functional traits, and community assembly in agroecosystems and forests. He investigates how agricultural practices, landscape connectivity, and microclimate heterogeneity influence species distributions and ecosystem services, with carabid beetles serving as key bioindicators. His methodology combines empirical field data with advanced spatial modeling techniques to address conservation challenges under global change. Publication Trends Recent publications (2023-2025) reveal consistent emphasis on non-equilibrium biodiversity dynamics, landscape connectivity modeling, and microclimate-buffering effects in forests. Key themes include species distribution responses to historical land use, impacts of agrivoltaism on soil biodiversity, and functional trait-based analyses of arthropod communities across European agricultural gradients. Research Funding Current: IMPRINT & MacMiCC (microclimate impacts on forest biodiversity), SEPIM & MOTIVER (sylvo-agro-ecosystem landscape structure), IAE-Betterave & ConservES (flower strips for aphid control), Okwind (agri-photovoltaism), Bio'AUXIL (farmer knowledge transfer) Past: SUR-PAS (agro-pastoral habitat monitoring, 2018-2021), WOODNET (European forest connectivity, 2017-2020), Alberta bee community modeling Academic Leadership Since 2018, Marrec has directed the Agronomy option of the DUT Biological Engineering program at Amiens IUT, teaching courses in General Agronomy, Soil Sciences, and Agroecosystem Management while maintaining active field research collaborations across France, Italy, and Canada.

• System Analysis
• Decision Making Theory
• Optimization
• +5 more

Ievgen Ivokhin serves as Professor in the Department of System Analysis and Decision Making Theory at the Faculty of Cybernetics, Taras Shevchenko National University of Kyiv, a position held since 2015 following 26 years as Associate Professor (1989-2015) in the same department. His entire academic trajectory, including education and career, is deeply rooted within this institution. His educational background includes: Doctor of Physico-Mathematical Sciences (2012) - Thesis: "Methods of analysis of fuzzy multidimensional dynamical systems", Institute of Aerospace Research, Ukrainian National Academy of Science, Kyiv Ph.D. in Mathematical Cybernetics (1986) - Thesis: "The development of optimal system Lyapunov functions and its application in evaluating of quality characteristics of complex systems", Kyiv Taras Shevchenko State University Post-Graduate studies (1982-1986) and undergraduate studies (1977-1982) at the Cybernetics Faculty of Kyiv Taras Shevchenko State University Professor Ivokhin's research centers on mathematical system analysis with emphasis on decision making theory, optimization, and fuzzy systems. His work spans stochastic networks, socio-economic/ecological process analysis, and hybrid simulation models for resource distribution, scheduling, and logistics. Current efforts focus on applying fuzzy parameter systems to solve modern social and communication challenges. Analysis of his 2013-2021 publications reveals sustained innovation in fuzzy logic applications, diffusion modeling, and decision-making formalisms. Key contributions include clustering techniques for fuzzy aggregates, hybrid models for information dissemination, and novel intersections of prime number theory with fuzzy set membership determination. Scientific Awards: No awards, fellowships, or medals are documented in the source material. Advising and Grants: While specific students or grant details are absent, his professorial role and multi-year research projects (2006-2019) indicate active graduate mentoring and research funding acquisition within system analysis domains. Labs and Teams: The text references collaborative research groups through co-authored publications but does not specify dedicated laboratories or formal research teams beyond departmental affiliations.

• Applied Mathematics
• Continuum Mechanics
• Integro-Differential Equations
• +7 more

Ганна Анатоліївна Шишканова is an Associate Professor at the Department of Applied Mathematics within the Faculty of Computer Science and Technologies at Zaporizhzhia Polytechnic National University. With over two decades of academic experience since 1999, she holds the academic title of Associate Professor and a Candidate of Physical and Mathematical Sciences degree. Her expertise spans applied mathematics, continuum mechanics, and mathematical modeling, with significant contributions to contact mechanics and econometrics. Zaporizhzhia State University (Applied Mathematics, Specialist) Zaporizhia National Technical University (Entrepreneurship, Master's degree, 2019) Dr. Shyshkanova's research focuses on solving complex mathematical problems in engineering and economics. Her work in spatial contact problems with unknown contact regions has practical applications in structural engineering and green building design. She has developed innovative approaches to multidimensional integro-differential equations and applied catastrophe theory to various scientific domains. Her recent research has expanded into econometrics, applying mathematical models to business optimization and economic forecasting. Her 77 scientific publications demonstrate consistent scholarly output across multiple disciplines, with recent work addressing sustainable construction, cylindrical structure deformation, and precision alloy production. The publications reveal a trend toward interdisciplinary research that bridges applied mathematics with practical engineering and economic challenges. Certificate of Merit on the 110th anniversary of ZNTU (2010) Certificate of Merit on the 115th anniversary from Zaporizhzhia City Council (2015) Honorary Certificate for long-term work and contribution to technical education (2021) Appreciation from NU "Zaporizhzhia Polytechnic" for 50th anniversary (2023) Certificate from Zaporizhzhia Regional State Administration (2023) Dr. Shyshkanova teaches Higher Mathematics, Probability Theory and Mathematical Statistics, Optimization Methods and Models, and Econometrics. Her pedagogical approach integrates traditional instruction with innovative distance learning technologies to enhance student engagement with mathematical concepts. She has contributed to educational methodology through research on student evaluation systems and the application of mixed learning approaches to mathematical disciplines.

Fazel KhayatianView profile

Assistant Professor

• Urban Energy Systems
• Machine Learning
• Building Energy Modeling
• +3 more

Fazel Khayatian is an Assistant Professor in the Department of Architecture and Planning at the Klesse College of Engineering and Integrated Design, University of Texas at San Antonio. He holds a Ph.D. from Politecnico di Milano, Italy, and focuses on urban energy systems, data-driven predictive control, and sustainable built environments. Ph.D., Politecnico di Milano, Italy His research explores digital twin applications , machine learning for energy planning , and innovative building materials . Recent work highlights urban multi-energy systems , phase change materials (PCM) , and generative adversarial networks (GANs) to address climate and human-system uncertainties. Articles emphasize smart city development, building energy retrofitting, and open data sharing for sustainability. Dr. Khayatian employs hybrid modeling frameworks and reinforcement learning to enhance building energy management systems (BEMS). His contributions bridge architectural design , data science , and policy analysis for scalable climate solutions.

Krzysztof BiegunView profile

Researcher

• Macroeconomics
• International Finance
• European Union Policy
• +7 more

Dr. Krzysztof Biegun is affiliated with the Department of Finance at Wrocław University of Economics. His research focuses on macroeconomic imbalances, European Union policy, financial markets integration, tax avoidance impacts, and the effectiveness of early warning systems like the Macroeconomic Imbalance Procedure (MIP). He has contributed extensively to understanding the role of financial flows, green bonds, and exchange rate policies in economic stability and regional development. His work often bridges theoretical frameworks with empirical analysis of EU member states, particularly Central and Eastern European countries. Key research areas include: Macroeconomic surveillance and crisis prediction mechanisms EU policy design and implementation challenges Monetary integration processes and convergence criteria Impact of tax policies on corporate behavior Role of technical infrastructure in regional competitiveness His recent publications (2021–2024) emphasize the predictive strength of MIP indicators, governance effectiveness in green finance, and AI-driven regional policy tools. Earlier works (2003–2017) explored Poland’s path toward eurozone integration, synchronization of economic cycles, and the stabilizing role of exchange rate policies. No scientific awards or grants are explicitly listed in the provided texts. His academic contributions are centered on policy analysis and empirical studies without direct mention of lab affiliations or team collaborations.

• Health Inequality
• Multidimensional Poverty
• Social Welfare Function
• +5 more

Dr. Matthew Robson is a Researcher in the Department of Health Economics at the Erasmus School of Economics, Erasmus University Rotterdam. His work spans health economics, welfare economics, and poverty studies with a focus on inequality measurement and policy evaluation. His research interests prominently feature health inequality aversion , multidimensional poverty analysis , and social welfare function calibration . Key contributions include developing frameworks for measuring income-caused health inequality and evaluating cash transfer impacts on refugee poverty. His fingerprint reveals deep engagement with causality analysis , distributional effects , and developing country applications . Analysis of his publication trends shows consistent focus on methodological innovation in health inequality measurement (64 Scopus citations for 2017 England study) and policy-relevant poverty analysis (notably Turkey refugee cash transfers). His work bridges theoretical welfare economics with empirical development applications, frequently employing regression discontinuity designs and multidimensional poverty indices. His research has gained significant traction with 1 clinical guideline reference , blog mentions , and substantial social media engagement ( 32 X posts , 2 Facebook pages ). Notable impact includes policy citations for health inequality aversion studies and real-world applications in refugee support systems.

• Aerospace engineering
• Composite structures
• Finite element analysis
• +5 more

Rodolfo Azzara is a Fixed-term researcher at the Department of Mechanical and Aerospace Engineering (DIMEAS) at Politecnico di Torino, affiliated with the College of Mechanical, Aerospace and Automotive Engineering. His position is designated under Law 240/10 art.24-a, indicating a fixed-term research appointment within the Italian academic system. He is an active member of the MUL2 (MULtilayered structures and MULtifield analyses) research group, focusing on advanced computational methods for structural analysis. Dr. Azzara's research interests span aerospace engineering with particular emphasis on composite structures, finite element analysis, higher-order theories, nonlinear dynamics, rotordynamics, structural theories, and vibrations. His work primarily falls under the scientific disciplinary sector IIND-01/D - Aerospace Construction and Structures (Area 0009 - Industrial and Information Engineering), with ERC sectors PE8_1 (Aerospace engineering) and PE8_4 (Computational engineering). His research directly contributes to SDG Goal 9: Industry, Innovation, and Infrastructure through advanced computational methods for structural analysis. Analysis of Dr. Azzara's recent publications (2022-2025) reveals a strong focus on high-fidelity computational methods for structural analysis, particularly using the Carrera Unified Formulation (CUF) framework. His work demonstrates expertise in nonlinear dynamics, rotordynamics, and thermoelastic analysis of aerospace structures. A consistent theme across his publications is the development and application of variable-kinematic finite elements for complex structural problems, including rotating machinery, composite materials, and wave propagation phenomena. His research shows increasing sophistication in handling geometric nonlinearity, thermal effects, and multi-physics coupling in structural systems. Dr. Azzara actively contributes to academic teaching within the Aerospace Engineering program. His teaching portfolio includes Aerospace Vehicle Design, Design and Additive Manufacturing for Aerospace Applications, Aeronautical Structures, Fundamentals of Structural Mechanics, and Aeronautical Construction Techniques. He has served as both Course Collaborator and Course Lecturer across multiple academic years (2019/20-2025/26), demonstrating consistent engagement with student education at both undergraduate and graduate levels. His research methodology emphasizes high-fidelity modeling through advanced finite element techniques, particularly focusing on beam, plate, and shell elements with variable kinematics. This approach allows for accurate representation of complex structural behaviors while maintaining computational efficiency. Dr. Azzara's work frequently appears in ASME conferences and engineering mechanics journals, indicating recognition within the structural dynamics and aerospace engineering communities.

Martina GregoriView profile

Assistant Professor

• Transport Economics
• Railways Performance
• Social Economic Costs
• +3 more

Martina Gregori is an Assistant Professor (Ricercatore) at the Department of Computer, Control, and Management Engineering (DIAG), Sapienza University of Rome, where she has been a Post Doctoral Researcher since July 2021. Her academic foundation includes a Ph.D. in Industrial and Management Engineering from Sapienza University (2021), an M.Sc. in Management Engineering with research conducted at the University of Leeds' Institute for Transport Studies, and a Bachelor's in Management Engineering. Research Focus Gregori's research centers on two primary domains: Transport Economics : Railway performance, social cost quantification, intermodal competition, and congestion modeling, with applied work on electric rail systems and disruptive transport business models. Higher Education Systems : Performance benchmarking of institutions, heterogeneity analysis, and efficiency evaluation in European academic contexts. She has led projects funded by Sapienza University, ANAV, and MIUR, focusing on ICT impacts in transport and intermodal competition. Teaching & Tutoring Course Instructor: Economics of Technology and Management (Master's in Chemical Engineering). Tutor: Courses in Mechanical Engineering (Economics of Technology), Professional Specialization in Public Transport Management, and former tutor for Microeconomics and Public Authorities Management courses. Developed business simulations for Industrial Engineering laboratories. Professional Affiliations Italian Association of Management Engineering (AiIG) International Transport Economics Association (ITEA)

Hinke HaismaView profile

Professor

• Human Milk
• Child Growth
• Energy Expenditure
• +6 more

Professor Hinke Haisma is affiliated with the Faculty of Spatial Sciences at the University of Groningen, specifically with the Urban and Regional Studies Institute. With an extensive research portfolio spanning demographic studies and nutrition science, Haisma contributes significantly to multiple UN Sustainable Development Goals through their interdisciplinary work. Haisma's research interests focus on human milk composition, child growth metrics, energy expenditure analysis, and nutrition science applications. Their work bridges spatial sciences with medical and nutritional research, creating unique interdisciplinary connections between demographic patterns and health outcomes. The research portfolio demonstrates a strong commitment to developing multidimensional indicators for child growth and development. The recent publications reveal a consistent focus on demographic methodologies and nutritional assessment techniques. Haisma has developed frameworks for demographic research while simultaneously contributing to nutritional science through advanced measurement techniques like doubly labeled water analysis. This dual expertise creates a distinctive research profile that connects population studies with individual health metrics. Demog-Crazy Award (2024) - Recognizing innovative demographic research approaches Haisma serves as Principal Investigator for the IUNS Task Force 'Towards an index for multidimensional child growth' and has secured multiple research grants supporting work in nutrition science. Their external positions include Chair of the working group 'Concepts and methods in nutrition science' with the Federation of European Nutrition Societies (2020-2023), Core member of Nutrition in Transition (since 2017), and Chair of the International Union for Nutrition Sciences Task Force on multidimensional child growth indicators. As an active researcher, Haisma maintains strong connections with international research networks, particularly in the fields of demographic studies and nutritional assessment methodologies. Their work frequently appears in high-impact journals across multiple disciplines including demography, nutrition science, and public health.

Sofia PintoView profile

Assistant Professor

• Digital Transformation
• Small and Medium Enterprises
• Digitization
• +7 more

Sofia Pinto is an Assistant Professor at Católica Porto Business School, Universidade Católica Portuguesa, where she contributes to research and academic activities in digital transformation, data analytics, and business innovation. Her work bridges computer science and psychological aspects of digital engagement, particularly in SMEs and social media contexts. Her research interests focus on digital transformation , digitization in small and medium enterprises , and data-driven decision-making using methods like linear regression and composite scoring. She also explores social media advertising effectiveness , particularly comparing human images versus illustrations in influencing user behavior. The recent publications highlight a trend toward interdisciplinary research combining business analytics with behavioral insights. Her 2025 article applies the Alkire-Foster method to assess digital maturity in SMEs, while her 2023 work investigates visual design impact in digital ads, showing a consistent focus on measurable outcomes in digital business environments. Supervised Master’s student Luís Rocha on social media advertising effectiveness. Active in academic dissemination through oral presentations at conferences. She is involved in research projects related to digital business transformation and has contributed to teaching materials through case studies, though no specific lab or research group is mentioned in the text.

• Statistics
• Actuarial Science
• Data Science
• +4 more

Dr. Aurea Grane Chavez is a Full Professor and Vice Dean of the Degree in Statistics and Business at Universidad Carlos III de Madrid. Her research focuses on statistical methodologies for mixed-type data analysis and their applications across socioeconomic, health, and legal domains. Research Institutes: Alonso Martínez Institute for Justice and Litigation & Research Institute for Higher Education and Science (INAECU) Key Research Areas: Mixed-type data analysis, health expectancy modeling, financial risk assessment, well-being indices, and social vulnerability studies. Her recent work includes: Statistical depth methods for biological age imputation Robust distance-based models for socioeconomic research Visualizing health inequalities across Europe Methodological innovations in financial volatility analysis Current projects funded by: Spanish State Research Agency (AEI) Spanish Red Cross European Commission Foundation MAPFRE She supervises advanced research on data-driven approaches to longitudinal health studies and financial modeling, with a strong emphasis on methodological rigor and real-world applicability.

Francisco NunesView profile

Associate Professor

• Welfare Economics
• Poverty and Social Inequalities
• Public Economy and Finance
• +3 more

Francisco Nunes is an Associate Professor in the Department of Economics at ISEG, University of Lisbon, specializing in Public Economics and Welfare. He teaches Economics 1 and Seminar of Economics, and is part of the Economics and Public Finance teaching team. His research focuses on Welfare Economics, Poverty, Social Inequalities, and Comparative Welfare Systems. Researcher at UECE (Complexity and Economic Studies Unit) Member of the Institute of Public Policy (IPP) Co-organizer of international conferences His research spans poverty dynamics, energy poverty, public finance, and welfare regimes. Recent work includes studies on gendered poverty, pension systems, and multidimensional deprivation analysis using Bayesian models. He supervises Master’s theses in Economics and Public Policy and has coordinated academic programs at ISEG.

• Economics
• Public Sector Economics
• Knowledge Economy
• +5 more

Tom Van Puyenbroeck serves as Full Professor at KU Leuven's Faculty of Economics and Business (FEB) with dual leadership roles as Vice Rector for Student Affairs and Diversity Policy and Academic Director of the Brussels Campus. His academic base resides within the Economics Research Group at KU Leuven's Brussels campus, where he directs research on knowledge economy dynamics and public sector economics while maintaining significant administrative responsibilities across university governance structures. His research portfolio demonstrates deep specialization in quantitative economic methodologies, particularly Data Envelopment Analysis (DEA) for constructing composite indicators in social inclusion measurement, human development indexing, and cultural benchmarking. Recent investigations focus on Brussels' knowledge-based economy structure and impact, while earlier work spans sports economics (cycling expenditure analysis), public sector efficiency, and welfare measurement. Methodological innovations include benefit-of-the-doubt weighting systems and frontier difference indices for multidimensional welfare assessment. Analysis of his publication trajectory reveals consistent methodological advancement in DEA applications since the early 2000s, with increasing focus on urban economic systems after 2015. The 2022-2024 Brussels knowledge economy studies represent the culmination of this urban economics specialization, integrating regional development theory with practical policy evaluation frameworks. His work bridges theoretical econometrics with actionable insights for metropolitan policy-making, particularly in knowledge-intensive urban economies. He has supervised doctoral research including P. Verbunt's multidimensional analysis of EU social inclusion (2019) and E. Thibaut's examination of sports expenditure determinants (2017). His administrative leadership extends across multiple governance tiers as member of the University Council, Academic Council, Executive Board, and specialized committees including the Diversity Council and Disciplinary Committee for Students. As core faculty within FEB's Economics Research Group, he contributes to teaching in Economics, Macroeconomics and Policy, and Economics of the Public Sector. His institutional influence spans campus operations as Head of Finance for Brussels Campus and leadership within the KU Leuven Urban Studies Institute (LUSI), positioning him at the intersection of academic research, urban policy development, and university administration.

• Statistics
• Environmental Science
• Climate Change
• +4 more

Isabella Morlini is an Associate Professor at the Department of Communication and Economics, University of Modena and Reggio Emilia. Her academic roles include teaching courses such as Multidimensional Data Analysis, Statistical Inference, and Statistics for Law students. She specializes in statistical methodologies applied to environmental science, education, and public health. Research Interests: Climate modeling, pandemic impact analysis, educational data challenges, dyslexia measurement, and fuzzy composite indicators. Teaching: Focuses on data analysis techniques for business, statistical inference, and environmental data interpretation. Her research highlights include analyzing urban climate changes in Modena, assessing risk factors for COVID-19 outcomes, and developing online health promotion programs. Collaborations span environmental scientists, public health experts, and educational technologists. Key methodologies involve nonlinear regression, cluster analysis, and fuzzy set theory. Publications emphasize statistical applications in diverse fields, with recent work addressing pandemic impacts and climate change mitigation strategies.

Merrick MahoneyView profile

Associate Professor

• Metallurgical Engineering
• Coking Technology
• Coal Processing
• +3 more

Associate Professor Merrick Mahoney is an Honorary Associate Professor in the School of Engineering at the University of Newcastle. He is affiliated with the Centre for Ironmaking Materials Research, part of the College of Engineering, Science and Environment. His research focuses on metallurgical coke properties, coal coking processes, and material behavior under high-temperature conditions. Key interests include coke abrasion resistance, mineral-matrix interactions, and the structural evolution of carbon during coking. Research highlights include advanced techniques such as CT scanning, X-ray imaging, and rheometry to analyze coke microstructure and reactivity. His work bridges fundamental material science with industrial applications, addressing challenges in coal blending, coking pressure management, and coke quality prediction. Publications from 2024 focus on gas-atmosphere effects on coke abrasion in blast furnaces, while 2023 studies employ xenon K-edge subtraction to map porosity. Earlier works (2020–2022) explore plastic layer chemistry, mineral dispersion (Ca/Fe interactions), and 3D microstructural analysis. His contributions emphasize linking microstructural features to macroscopic material properties and process optimization. No scientific awards are explicitly listed, though his extensive publication record reflects sustained research excellence. Advising and grants sections remain unspecified in the provided data. Mahoney is based at the Newcastle Institute for Energy and Resources (NIER), contributing to interdisciplinary energy and materials research.