Find Academic Supervisors

• Vascular Engineering
• Biomedical Engineering
• Biomaterials
• +7 more

Jordi Martorell López serves as Assistant Professor in the Department of Chemical Engineering and Materials Science at Ramon Llull University's School of Engineering (IQS), where he also leads the GEVAB (Vascular Engineering and Applied Biomedicine) Research Group. His academic career at the institution spans from undergraduate studies through doctoral work, establishing deep institutional roots. His research focuses on the development of innovative biomaterials for vascular pathologies, with particular emphasis on bioresorbable patches for aortic dissection treatment, growth-adaptive stents for pediatric coarctation, and tissue-engineered vascular grafts. His work integrates knowledge from medicine, biology, chemistry, physics, mathematics and computing to address clinical vascular needs. Martorell's publication record shows consistent output with multiple high-impact publications in 2023-2024 spanning materials science, biomedical engineering, and translational medicine journals. His research demonstrates strong translational focus, with several projects advancing to clinical stages including first-in-human trials for aortic dissection treatment. Principal Investigator for 12 research projects totaling over €2M in funding Active grants from Fundació La Marató de TV3, Agencia Estatal de Investigación, and AGAUR Collaborations with hospitals and industry partners for clinical translation As supervisor for doctoral students and leader of the GEVAB research group, Martorell oversees a multidisciplinary team working at the intersection of chemical engineering and vascular medicine. His h-index of 11 reflects growing impact in the biomedical engineering field, with research outputs receiving increasing attention from both academic and clinical communities.

Bent NielsenView profile

Professor

• Econometrics
• Statistical Theory
• Time Series Analysis
• +4 more

Bent Nielsen is a Professor of Econometrics at the Department of Economics, University of Oxford, and a Professorial Fellow at Nuffield College. His academic career is centered around econometric theory and its applications. Nielsen has established himself as a leading expert in time series analysis, particularly in the areas of cointegration, outlier detection, and age-period-cohort modeling. His research has significant implications for both theoretical econometrics and practical applications in fields such as actuarial science and demographic analysis. Based at Nuffield College in Oxford, he contributes to the vibrant academic community through research, teaching, and software development for statistical analysis. Research Interests: Econometric Theory: Nielsen's work focuses on the theoretical foundations of econometric modeling, particularly in time series analysis. His research on cointegration, unit root testing, and co-explosive processes has advanced our understanding of non-stationary economic time series. Outlier Detection: He has made significant contributions to robust regression methods, particularly through his work on the Forward Search algorithm and Least Trimmed Squares estimation. His theoretical work provides the foundation for reliable outlier detection in economic and financial data. Age-Period-Cohort Analysis: Nielsen has developed innovative methods for age-period-cohort modeling, with applications in demography, epidemiology, and actuarial science. His R package "apc" has become a standard tool in these fields. Chain Ladder Methods: His work on the statistical foundations of chain ladder methods has improved forecasting techniques in general insurance for projecting future liabilities. Research Trends: Nielsen's recent publications (2019-2025) demonstrate a continued focus on robust statistical methods, particularly Least Trimmed Squares estimation and its applications. His work bridges theoretical econometrics with practical applications, especially in demographic modeling and actuarial science. The development of R packages like "apc" and "ForwardSearch" shows his commitment to making advanced statistical methods accessible to practitioners. His collaborations with researchers across institutions highlight the interdisciplinary nature of his work. Scientific Recognition: Best paper award (2016) for "A Joint Chow Test for Structural Instability" Development of widely used R packages: "apc" for age-period-cohort modeling and "ForwardSearch" for outlier detection Teaching and Mentorship: Professor Nielsen teaches graduate-level econometrics courses at Oxford, including MPhil Core Econometrics, MPhil Advanced Econometrics, and MPhil Topics in Probability. He supervises research students working on econometric theory and applications. His textbook "Econometric Modeling: A Likelihood Approach" (co-authored with David Hendry, 2007) is widely used in graduate econometrics courses. Software Development: Nielsen has made significant contributions to statistical computing through the development of several R packages. His "apc" package implements age-period-cohort modeling techniques, while "ForwardSearch" provides tools for robust regression using the Forward Search algorithm. These packages have been downloaded thousands of times and are cited in numerous research papers across multiple disciplines.

Sofija VolertasView profile

Assistant Professor

• Allergy
• Immunology
• Rheumatology
• +4 more

Sofija Volertas, MD is an Assistant Professor of Medicine at the University of North Carolina at Chapel Hill School of Medicine, where she is a member of the Division of Rheumatology, Allergy, and Immunology within the Department of Medicine. She maintains her clinical practice at UNC Health and is actively involved in medical education and research. Dr. Volertas received her undergraduate education at Duke University, attended medical school at Georgetown University School of Medicine, completed her residency at the University of Chicago, and finished her fellowship at the University of Michigan. Dr. Volertas' clinical and research focus centers on IgE-mediated diseases, including environmental allergies (allergic rhinitis), urticaria (hives), anaphylaxis, and food allergy. She also sees patients with immune dysfunction and has a personal interest in integrative medicine, with a particular focus on adolescents and young adults transitioning to adult care. Her academic interests include medical education, wellness, and telehealth, where she leads initiatives focused on teaching communication skills, "webside" manner, and professionalism in virtual care settings. She has delivered TEDx Talks on topics related to her expertise. Her research spans several important areas in allergy and immunology, including mast cell disorders, food allergy testing protocols, and epidemiological studies of conditions like mastocytosis. Dr. Volertas has demonstrated particular interest in translating research findings into practical clinical applications, especially in the context of evolving clinical guidelines. Dr. Volertas is actively involved in teaching medical students and residents at UNC. Her educational contributions include quality improvement initiatives in resident education, particularly focused on improving transition care for patients. She has published research examining how to enhance educational experiences during critical transition periods in patient care. Her clinical practice emphasizes that "human connection is the root of healing," reflecting her holistic approach to patient care that integrates traditional medical approaches with integrative medicine principles, particularly for adolescent and young adult patients navigating the transition to adult healthcare systems.

Jörg BreitungView profile

Professor

• Econometrics
• Statistics
• Panel Data Analysis
• +3 more

Jörg Breitung is a Professor of Econometrics and Statistics at the Institute of Econometrics and Statistics within the Faculty of Management, Economics and Social Sciences (WiSo Faculty) at the University of Cologne since 2014. He also serves as a Research Professor of the German Bundesbank in Frankfurt since 2002. Research Focus: Panel Data Analysis Time Series Analysis Forecasting Financial Econometrics Scientific Contributions: Developed advanced GMM estimators for spatial regression models Innovative approaches for assessing causality in frequency domains Created robust tests for slope homogeneity in panel data Pioneered methods for serial correlation testing in fixed effects models Contributed to nonlinear panel data modeling and bootstrap techniques Honors and Editorial Roles: Associate Editor of International Journal of Forecasting (2019-) Associate Editor of Journal of Business and Economic Statistics (2017-) Associate Editor of Econometric Reviews (2014-) Contributed to leading journals like Econometrica and Journal of Econometrics

Jean-Michel ZAKOIANView profile

Professor

• Financial Econometrics
• Time Series
• Dynamic Risk Measures
• +7 more

Jean-Michel ZAKOIAN is a Full Professor at ENSAE Paris-Saclay and Professor of Applied Mathematics at Université de Lille, currently on secondment at ENSAE since 2008. He leads the Finance-Insurance lab at CREST and serves as Associate Editor for Econometric Theory , Scandinavian Journal of Statistics , and Journal of Time Series Analysis . Co-author of GARCH models. Structure, Statistical Inference and Financial Applications (2nd ed., 2019) Published over 80 peer-reviewed works in top journals like Econometrica and Journal of the American Statistical Association Research Interests : Specializing in Financial Econometrics and Time Series , ZAKOIAN's work focuses on GARCH-type models, dynamic risk measures, estimation risk, unit roots, explosive processes, and quasi-maximum likelihood (QML) estimation. His recent publications address challenges in volatility modeling without moment constraints and systemic risk inference. Academic Contributions : As a supervisor of 13 PhD theses in Applied Mathematics and Economics, he has significantly shaped emerging researchers in econometric theory. His editorial roles across four journals reflect his standing in advancing methodological rigor in time series analysis.

• Time Series Analysis
• Applied Statistics
• Biostatistics
• +4 more

Ying Zhang is a Professor in the Department of Mathematics and Statistics at Acadia University, maintaining an office in Huggins Science Hall, Room 151. She earned her BSc from Shandong Normal University and advanced degrees (MA, MSc, PhD) from Western University, complemented by P.Stat. certification (Certificate #78) from the Statistical Society of Canada. Her educational background includes: BSc from Shandong Normal University MA, MSc, PhD from Western University Professor Zhang's research centers on Time Series Analysis and Applied Statistics , extending to Statistical Computing, Symbolic Algebra Computing, and Statistical Consulting in Biostatistics, Survey Design, and Research Methodology. Her work demonstrates significant applications in environmental science (water resources trend analysis), health sciences (drug safety and utilization studies), and ecological modeling (wildlife population dynamics), with methodological innovations in nonparametric testing and hierarchical modeling. Analysis of her 2013-2018 publications reveals a dominant focus on developing novel time series methodologies for environmental and health contexts, particularly seasonal trend detection, medication utilization patterns, and ecological data analysis. Her work consistently bridges theoretical statistics with practical applications across disciplines. She actively contributes through the Statistical Consulting Centre and the CANSSI Maritime Statistical and Health Sciences Collaborating Centre , holding P.Stat. designation from the Statistical Society of Canada. While her collaborative publications indicate interdisciplinary engagement, specific details of grant funding and student advising are not documented in available sources.

Martin J. MüllerView profile

Professor

• Plant lipid signalling
• Metabolomics and lipidomics
• Biotic and abiotic stress responses
• +5 more

Prof. Dr. Martin J. Müller is Professor and Chair of Pharmaceutical Biology at the Julius von Sachs Institute of Biosciences, University of Würzburg, Germany. His group combines metabolomics, lipidomics and genetic approaches to decode lipid-mediated signalling in plants and insects under stress. Education & Career: 1992 Dissertation, Ludwig-Maximilian-University Munich 1993–present Continuous academic career culminating in appointment as Chair of Pharmaceutical Biology, University of Würzburg Research Focus: The Müller laboratory investigates how membrane-derived oxidised lipids (oxylipins, phytoprostanes, jasmonates) and energy-storage lipids (triacylglycerols) orchestrate plant adaptation to heat, salt, pathogens and herbivory. High-resolution mass spectrometry is employed to map metabolic shifts in Arabidopsis , crop plants and Drosophila , followed by CRISPR/Cas or classic mutant studies to test gene function. Recent work extends these concepts to the circadian clock, deciphering how daily oscillations in lipid metabolism couple to behavioural and physiological outputs in insects, and how natural variation across 1,135 Arabidopsis ecotypes underpins climate adaptation. Scientific Awards: While specific honours are not listed, Prof. Müller’s sustained funding record and >200 peer-reviewed articles (1993-2023) demonstrate international recognition. Research Teams & Collaboration: He heads the “AG Müller” research group and participates in collaborative centres including the CRC “Insect Timing” and the Metabolomics Core Unit. Ongoing projects integrate expertise from co-PIs Agnes Fekete, Daniel Maag and Arthur Korte.

• Peripheral Neurobiology
• Diabetic Polyneuropathy
• Neurosciences of Regeneration
• +4 more

Douglas Zochodne is a Professor at the University of Alberta, serving as Divisional Director of Neurology and Director of the Neuroscience and Mental Health Institute. He has held faculty positions at Queen’s University, the University of Calgary, and the University of Alberta. His research focuses on peripheral nervous system biology, diabetic polyneuropathy, and neuronal regeneration. MD and FRCPC in Neurology from the University of Western Ontario Research Fellowship at Mayo Clinic under Drs. Philip Low and Peter J. Dyck His research has explored intrinsic molecular mechanisms in adult sensory neuron plasticity, including tumour suppressor pathways in neurons. Funded continuously since 1988, his lab has produced over 280 publications and four books. Key areas include diabetic polyneuropathy , peripheral nerve regeneration , and molecular neurobiology . Recent publications highlight interdisciplinary approaches to diabetic neuropathy, neuroplasticity, and molecular pathways. He has received recognition as a Fellow of the Canadian Academy of Health Sciences and held leadership roles in journals and societies. Editor-in-Chief, Canadian Journal of Neurological Sciences (1999-2007) President, Peripheral Nerve Society (2009-2011) Lead, Regeneration Unit in Neurobiology, University of Calgary (2009-2014) His laboratory, continuously funded by CIHR, CDA/DC, and ADI, investigates molecular mechanisms of peripheral neuron plasticity and regeneration, with clinical applications in diabetes-related nerve damage.

• Econometrics
• Applied Econometrics
• Regression Discontinuity Design
• +5 more

Yoichi ARAI is an Associate Professor at the School of Social Sciences, Waseda University, specializing in econometrics and applied economic analysis. He holds a Ph.D. in Economics from the University of California, San Diego, and has established himself as a leading researcher in regression discontinuity designs, cointegration analysis, and program evaluation methodologies. Dr. ARAI's educational background includes a doctoral degree from UC San Diego, one of the world's leading institutions for econometric theory. His academic journey has positioned him at the intersection of theoretical econometrics and practical policy evaluation. Dr. ARAI's research focuses on econometrics and applied econometrics , with particular expertise in regression discontinuity designs, bandwidth selection methods, cointegration testing, and program evaluation. His work bridges theoretical developments with practical applications in labor economics, education economics, and monetary policy. His research has significantly advanced methodological approaches for causal inference in non-experimental settings, particularly through innovations in regression discontinuity frameworks and treatment effect estimation. His contributions have been instrumental in developing more robust statistical tests for identifying assumptions in fuzzy regression discontinuity designs and optimizing bandwidth selection procedures for both sharp and fuzzy regression discontinuity estimators. Analysis of Dr. ARAI's publication record reveals a strong trajectory of methodological innovation in econometrics, particularly in regression discontinuity designs and cointegration analysis. His recent work (2020-2025) focuses on high-dimensional extensions of regression discontinuity methods, optimal bandwidth selection, and testing identifying assumptions. Earlier work (2000-2015) established foundational contributions to cointegration testing with structural breaks and time series analysis. His research demonstrates consistent contributions to both theoretical econometrics and applied policy evaluation, with particular relevance to Japanese economic issues including educational upgrading of youth and labor market dynamics. Dr. ARAI has received recognition through substantial research funding, including multiple Grants-in-Aid for Scientific Research from the Japan Society for the Promotion of Science (JSPS). His projects include "Development and Application of Policy Evaluation Methods Based on Dynamic Structural Models" (2024-2029), "Econometrics for Policy Evaluation and its Application" (2015-2019), and "Econometric Analysis of Program Evaluation and Its Application to Unemployment Insurance Policy" (2011-2015). As an educator, Dr. ARAI teaches advanced econometrics courses at both graduate and undergraduate levels, including "Research on Econometrics for Policy Evaluation," "Basic Data Analysis (Regression Analysis)," and "Applied Econometrics." His teaching emphasizes the practical application of econometric methods to real-world policy questions. He has supervised numerous research projects and contributes significantly to the academic community through committee memberships with the Japan Statistical Society, Japanese Economic Association, American Economic Association, and Econometric Society.

John P. LajaunieView profile

Lecturer

• Finance
• Economics
• Commercial Banking
• +3 more

John P. Lajaunie serves as a Distinguished Instructor in the Department of Finance at Louisiana State University, where he contributes to both teaching and research in specialized finance domains. His academic foundation includes a PhD in Financial Economics from the University of New Orleans (1992), complemented by an MA in Economics (1991) and BA in Political Science from LSU (1986). His research spans four interconnected domains: Commercial Banking (with emphasis on community institutions), Investments, International Finance, and Retirement Planning. This portfolio reveals consistent engagement with practical financial systems—from credit risk management in banking to pension plan analysis—often employing advanced econometric techniques like cointegration testing for market efficiency studies. Analysis of his 13 publications (1991-2014) shows evolving focus: early work concentrated on foreign exchange market integration and tax policy impacts, shifting toward consumer credit dynamics and retirement systems in later years. The 2014 Journal of Banking and Finance article on home equity borrowing during unemployment exemplifies his applied approach to financial crisis prevention. As an educator, he teaches core finance courses including Commercial Banking, Financial Statement Analysis, and International Finance. His 'Distinguished Instructor' title highlights teaching excellence within LSU's business curriculum, though the source indicates no current research grants, laboratory facilities, or doctoral supervision activities.

OlaOluwa Simon YayaView profile

Associate Professor

• Time Series Econometrics
• Financial Econometrics
• Fractional Integration
• +5 more

OlaOluwa Simon Yaya is an Associate Professor at the University of Ibadan Department of Statistics, with additional appointments as University Professor at Global Humanistic University Curacao and Research Fellow at the Centre for Econometrics and Applied Research Nigeria. He is affiliated with the University of Ibadan Laboratory for Interdisciplinary Statistical Analysis. Professor Yaya holds a B.Sc. from Abeokuta, and M.Sc. and PhD from Ibadan. His academic journey has led him to become a recognized expert in time series econometrics and related fields. Professor Yaya specializes in Economic and Financial Time Series, Climate Change modelling, Time Series Econometrics, Machine Learning/Big Data and Pattern Recognition. His research particularly focuses on Dynamic connectedness, Fractional integrated processes, Fractional Cointegration, Panel Unit root tests, Structural breaks, Seasonality, and Nonlinearities in the context of I(d) models. He also works extensively on Volatility modelling in both univariate and multivariate settings, including Realized Volatility with Jumps. His recent publications (2024-2025) demonstrate continued research activity across multiple domains including financial markets, climate change, energy economics, public health, and economic policy. These works show a strong emphasis on advanced time series methodologies applied to real-world problems, with particular attention to persistence properties and connectedness across different economic and financial variables. Professor Adenike Osofisan Faculty of Science Scholar Award (2019) 232 publications with 49,175 reads and 2,029 citations As an advisor and educator, Professor Yaya has supervised numerous research projects and publications. His international collaborations span multiple continents, working with researchers from Portugal, Vietnam, Spain, and across Africa, Europe, and Asia. His research group focuses on developing and applying advanced statistical methodologies to solve complex problems in economics, finance, climate science, and public policy. Professor Yaya leads research activities at the University of Ibadan Laboratory for Interdisciplinary Statistical Analysis, where his team applies cutting-edge time series techniques to diverse research questions across multiple disciplines, bridging theoretical methodology with practical applications in economic and social challenges.

• Economic Growth
• Employment Economics
• Money and Banking
• +5 more

Dr. Ali Rauf Karataş serves as an Assistant Professor at Karabük University's Faculty of Economics and Administrative Sciences, Department of Economics and Department of Economic History. Holding concurrent administrative roles including Department Deputy Chair and Head of Department of Economic History, he teaches across undergraduate, master's, and doctoral programs in macroeconomics, money and banking, and economic history. PhD in Economics from Aksaray University (2022) Master's in Economics from Karabük University (2016) Bachelor's in Economics from Selçuk University (2010) His research program focuses on three interconnected domains: Economic Growth dynamics, Employment Economics (particularly unemployment hysteresis phenomena), and Money-Banking systems with special emphasis on Islamic finance comparative analysis. Recent work employs advanced econometric techniques including Fourier unit root testing, wavelet analysis, and bibliometric mapping to examine complex economic relationships in Turkish and international contexts. With 43 publications including 13 journal articles in SSCI/ESCI-indexed journals, 20 conference papers, 1 authored book, and 9 book chapters, his scholarly output demonstrates significant growth since 2022. His publication trends reveal increasing international collaboration and methodological sophistication, particularly in unemployment hysteresis testing across income groups and Islamic finance sustainability analysis. Google Scholar: 142 citations, h-index 6 Scopus: 32 citations, h-index 3 Web of Science: 23 citations, h-index 3 As an active supervisor, he currently guides two master's students researching jobless growth hypothesis and youth unemployment determinants in Turkey. His teaching portfolio spans foundational economics courses to advanced doctoral seminars in macroeconomic theory, consistently integrating current research findings with theoretical frameworks. His administrative leadership in Bologna Process implementation and faculty governance demonstrates commitment to academic quality and internationalization.

Yeonwoo RhoView profile

Associate Professor

• Time Series Analysis
• Econometrics
• Bootstrap/Resampling
• +4 more

Dr. Yeonwoo Rho is an Associate Professor in the Department of Mathematical Sciences at Michigan Technological University. His academic credentials include a PhD in Statistics from University of Illinois at Urbana-Champaign, an MS in Statistics from Seoul National University, and a BS/BA in Mathematics/Economics from the same institution. His research focuses on advanced statistical methodologies including: Time series modeling and econometrics Bootstrap/resampling techniques for inference Unit root testing for non-stationary data Spatio-temporal analysis of complex systems Statistical methods for p-value combination Modeling of heavy-tailed distributions Office: Fisher Hall 226C | Email: yrho@mtu.edu | Phone: 906-487-2220

Christoph HanckView profile

Professor

• Econometrics
• Time Series Analysis
• Panel Data Analysis
• +7 more

Professor Christoph Hanck serves as Chair of Econometrics at the University of Duisburg-Essen's Faculty of Business Administration and Economics since 2012, where he teaches a comprehensive range of statistics and econometrics courses at undergraduate and graduate levels. His academic journey includes positions as Associate and Assistant Professor at the University of Groningen (2009-2012), postdoctoral work at Maastricht University and TU Dortmund, and doctoral studies in econometrics at TU Dortmund. Professor Hanck's research focuses on nonstationary panel data analysis, macroeconometrics, and multiple testing procedures, with recent expansion into educational technology and machine learning applications. His publication record shows consistent output in top econometrics journals with over 40 publications spanning more than 15 years. His most recent work (2023-2025) demonstrates a dual research trajectory: advancing econometric methodology while innovating in digital teaching methods for statistics education. This includes publications on nonlinear cointegration testing, Bayesian econometrics, and educational data mining for assessment integrity and student performance prediction. Professor Hanck collaborates extensively with researchers including Massing, Klenke, Arnold, and Demetrescu across multiple institutions, indicating a strong research network in both methodological econometrics and educational technology applications. His teaching portfolio encompasses core statistics and econometrics courses at all academic levels, with increasing integration of digital assessment methods and computational approaches using R programming.

Piotr KowalczykView profile

Associate Professor

• Root finding algorithms
• Complex analysis
• Microwave engineering
• +5 more

Piotr Kowalczyk serves as an Associate Professor at the Department of Microwave and Antenna Engineering within the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology. His academic position is well-established with recent publications spanning from 2023 to 2025, demonstrating active research and teaching engagement at the institution. The department is part of one of Poland's leading technical universities with strong emphasis on electromagnetic theory and microwave applications. Dr. Kowalczyk's research interests center around advanced computational methods for electromagnetic problems. His primary expertise lies in complex root finding algorithms and their applications to microwave engineering challenges. His work bridges theoretical mathematics with practical electromagnetic applications, particularly in stability analysis of complex systems, ferrite-loaded resonators, and electromagnetic wave propagation phenomena. The researcher has developed specialized algorithms including self-adaptive mesh generators and phase analysis techniques for solving complex electromagnetic problems that exceed commercial software capabilities. Analysis of his recent publications reveals a strong trend toward developing numerical methods for challenging electromagnetic problems that commercial software cannot adequately address. His work particularly focuses on nonlinear eigenproblems related to ferrite materials, stability testing of complex systems, and advanced root-finding algorithms applicable across multiple scientific domains including electromagnetism, acoustics, and particle physics. His publications in IEEE Access and IEEE Transactions demonstrate recognition within the international electromagnetic research community. Dr. Kowalczyk manages research projects including 'Opracowanie nowych algorytmów szukania i śledzenia miejsc zerowych w dziedzinie zespolonej do analizy problemów elektrodynamicznych' (Development of new algorithms for finding and tracking zeros in the complex domain for analysis of electrodynamics problems) funded through the MINIATURA program. His work appears in high-impact journals including IEEE Transactions on Microwave Theory and Techniques, IEEE Access, and ACM Transactions on Mathematical Software, reflecting the interdisciplinary nature of his research spanning mathematics, electrical engineering, and computational physics.