Professor Marcus Munafo holds dual roles as Deputy Vice-Chancellor and Provost at the University of Bath, serving in the Vice Chancellor's Office. His research focuses on genetic epidemiology, Mendelian randomization, and mental health interventions. Key areas include analyzing genetic variants related to smoking behavior, nicotine effects on depression, and socioemotional training for adolescent mental health. He has contributed over 778 research outputs, emphasizing methodological rigor in scientific publishing through works like 'FAIR’s fair – are interesting articles sufficiently transparent?'. His work addresses UN Sustainable Development Goals related to mental health and well-being. Notable collaborations include transdisciplinary teams studying longitudinal behavioral traits and genetic pleiotropy effects. Munafo advocates for transparent research practices, evident in his critiques of publication transparency and methodological standards. As an academic leader, he balances administrative duties with active research in addiction genetics and translational mental health strategies. His recent projects include the ReSET intervention study and multivariable Mendelian randomization analyses, demonstrating commitment to both policy impact and empirical innovation.
Laurentiu P. Maricutoiu is a Professor in the Department of Psychology at the Faculty of Sociology and Psychology, West University of Timișoara (UVT). He earned his doctorate in Psychology from Babeș-Bolyai University under the supervision of the late Horia Pitariu and has remained an active academic and researcher at UVT. He teaches core courses including Work and Personnel Psychology, History of Psychology, Political Psychology, and Advanced Multivariate Statistics in the PhD program. His research focuses on occupational health psychology, with particular emphasis on self-regulatory mechanisms, dual-process theories, implicit and explicit self-esteem, coping strategies, and meta-analytic methods. He has published extensively in international journals such as Personality and Individual Differences , European Journal of Psychological Assessment , and Journal of Occupational and Organizational Psychology . His recent work includes meta-analyses on employee burnout, faking in psychological assessments, and counterproductive work behaviors, reflecting a strong methodological rigor and applied orientation. Maricutoiu is actively involved in research validation projects, having adapted and validated several key psychological instruments for the Romanian context, including the Contingencies of Self-Worth Scale, IPIP-50, and DSQ-60. He is a member of the Research Laboratory in Social Cognition and Personality Assessment (www.socpers.psihologietm.ro) and serves as Treasurer of the Industrial and Organizational Psychology Association (APIO – www.apio.ro). In 2011, he received the prestigious 'Horia Pitariu' Award from APIO for the best research publication in industrial and organizational psychology. Adaptation of Thinking Styles Inventory (TSI) Development of Teaching for Successful Intelligence Questionnaire (TSI-Q) Co-development of PowerStaTim 1.0 statistical software Research on emotional responses to computer errors Studies on political responsiveness and transparency He has contributed to multiple book chapters and authored or co-authored books on political psychology and statistical software. His work bridges theoretical psychology with practical applications in organizational settings, education, and human-computer interaction. He continues to advance psychological science through methodological innovation, cross-cultural adaptation, and evidence-based practice.
Ayşegül İşcanoğlu ÇEKİÇ is an Associate Professor in the Department of Econometrics at Trakya University's Faculty of Administrative Sciences. She holds dual doctoral degrees from Middle East Technical University (2011) and Technische Universität Kaiserslautern (2010), both in Financial Mathematics. Her academic career spans roles as a Research Assistant at Middle East Technical University (2004-2011), Assistant Professor at Selçuk University (2011-2014), and Associate Professor at Trakya University since 2014. Education: B.Sc. in Statistics, Middle East Technical University (2003) M.Sc. in Financial Mathematics, Middle East Technical University (2005) Ph.D. in Financial Mathematics, Middle East Technical University (2011) Second Ph.D. in Financial Mathematics, Technische Universität Kaiserslautern (2010) Her research focuses on financial mathematics, econometrics, and risk management. Key areas include portfolio insurance strategies, credit scoring, debt obligations, and stochastic modeling in financial markets. She has extensively studied Constant Proportion Portfolio Insurance (CPPI), risk-return dynamics in emerging markets, and generalized additive models in finance. Her work frequently addresses Turkey's financial sector through empirical analyses of BIST indices, pension funds, and environmental disclosures. Her publications demonstrate methodological rigor in computational finance, with applications to Turkish and international markets. She explores cross-correlations, multifractal analysis, and heavy-tailed distributions for risk assessment, alongside shrinkage estimators and Bayesian approaches for portfolio optimization. Scientific Awards: ULAKBIM UBYT (International Scientific Publications Incentive) - TÜBITAK (2014) ÇEKİÇ has served on editorial boards for the Social Sciences Research Journal and International Journal of Mathematics and Statistics . She has refereed for prestigious journals including Annals of Operations Research and Mathematical Problems in Engineering . Active in international conferences, she organized the 16th International Symposium on Econometrics (2015) and held leadership roles in sessions at European Conference on Operational Research.
Konrad Niziołek serves as an Assistant Professor within the Institute of Marketing and Sustainable Development, a unit under the Faculty of Organization and Management at Lodz University of Technology. His academic role falls under the research and teaching staff group. Based in Łódź, Poland, he maintains an office at al. Politechniki 8, building B9, room 21, and can be reached via email at konrad.niziolek@p.lodz.pl or by phone at (42) 631-37-54. Additionally, he holds several administrative functions including membership in the Faculty Electoral Commission, Committee on Good Academic Practices, and University Electoral Commission for the 2020-2024 term, along with serving as Access Officer for disability coordination and Social Labor Inspector at both institutional and faculty levels. Dr. Niziołek's research program centers on occupational health and safety (OHS) management, with particular expertise in OHS management systems, environmental management systems, and integrated management systems. He investigates critical areas such as work safety knowledge management, safety culture and climate, occupational safety strategy, and employee participation in safety initiatives. His work extends to the investigation of workplace accidents, professional compensation management, and the conformity assessment system for safe mechanical devices, addressing both theoretical and practical challenges in the field through empirical methodologies and sector-specific analyses. Analysis of his scholarly output from 2015 to 2023 reveals a sustained focus on employee participation in occupational health and safety across diverse economic sectors, with increasing attention to demographic variables and multivariate measurement approaches. His publications demonstrate strong empirical foundations through case studies and cross-sectoral comparisons, particularly examining risk perception dynamics, safety culture implementation barriers, and strategic alignment of management systems. This body of work consistently bridges academic theory with practical occupational safety applications across industrial, healthcare, and institutional contexts. Scientific awards: The provided information does not list any scientific awards, prizes, fellowships, or medals received by Dr. Niziołek. Regarding academic advising and research funding, the available profile contains no details about doctoral or master's students supervised by Dr. Niziołek, nor does it specify any grant-funded research projects. His institutional roles include significant service contributions through electoral commissions, academic ethics committees, and safety councils, but laboratory facilities or dedicated research teams are not mentioned in the current documentation.
Özkan Sarıkaya is a full-time faculty member at Kırşehir Ahi Evran University , serving since 2010, currently in the Department of Child Development, Faculty of Health Sciences . He held the position of Department Chair from 2021 to 2024 and previously lectured in the Department of Nursing. His academic title is Dr. Öğretim Üyesi (Assistant Professor). Education: PhD in Statistics, Gazi University, Institute of Science, 2017 MSc in Statistics (Thesis), Gazi University, Institute of Science, 2009 BSc in Statistics, Eskişehir Osmangazi University, Faculty of Arts and Sciences, 2006 Research Interests: Dr. Sarıkaya’s expertise lies at the intersection of statistics, machine learning, biostatistics and geometric morphometrics . He develops and applies advanced statistical techniques—including artificial neural networks and multivariate morphometric analyses—to problems in health sciences, entomology, archaeology and quality control . His work supports evidence-based practice in nursing and child development and contributes to biodiversity and archaeological research through rigorous quantitative methods. Publications & Impact: With 25 scholarly publications , 57 citations and an h-index of 5 (Google Scholar), his recent outputs emphasize geometric morphometric evaluations of insect morphology, biostatistical assessment of nursing education outcomes, and antimicrobial activity of endemic plant species. Cross-disciplinary collaboration is evident in joint studies with entomologists, pharmacologists and archaeologists. Projects & Grants: Principal investigator on “Methodological Advantages of Artificial Neural Networks for Classification” (2017) Researcher on nine TÜBİTAK-supported projects covering archaeology, entomology and health sciences (2012–2019) Advising & Teaching: He served as principal advisor for one master’s thesis (Aykut Akbaş, 2025) and teaches courses in Research Methods, Basic Computer Sciences, Statistical Analysis Methods, Basic Mathematics and Biostatistics at the undergraduate level.
Lijing Yang is an active Associate Professor in the Counseling and Higher Education department at Ohio University's Patton College of Education, with offices in Patton Hall 432N and 432T. Contactable via yangl@ohio.edu or 740.597.1930, she teaches graduate courses in higher education finance, statistical analysis of national datasets, policy, and international comparative studies. Her role involves direct instruction and research leadership within the university's academic structure. Education Background: Ph.D. in Higher Education from the University of Michigan Postdoctoral Training from the Institute of Higher Education at the University of Georgia Her research centers on the economic and policy mechanisms shaping higher education access globally, particularly examining financial aid systems, state appropriation impacts, and cross-national equity patterns. She emphasizes quantitative analysis of large-scale datasets to uncover systemic barriers for rural students and international populations, linking funding models to real-world outcomes in vocational education and community colleges. Her work bridges theoretical frameworks with actionable policy insights. Publications since 2013 reveal consistent focus on finance-policy interactions, with recent studies analyzing online enrollment responses to budget cuts, athlete academic success in NAIA programs, and vocational education investment in developing economies. She frequently employs longitudinal and fixed-effects methods across OECD and Asia-Pacific contexts, maintaining strong collaboration with scholars like Edward P. St. John. Scientific Awards: No awards, fellowships, or medals mentioned in source text Dr. Yang advises graduate students in higher education programs based on her teaching responsibilities, though specific advisees aren't listed. Her NSF-level dataset analyses and cross-country studies imply grant-funded research, but no projects or funding sources are documented in the provided material. Her institutional affiliation is solely with Ohio University's Patton College. No dedicated research labs, centers, or team structures are referenced; work appears integrated within departmental activities and collaborative projects with international scholars.
Declan Dineen is an Assistant Professor in the Department of Economics at the University of Limerick. His research focuses on Labour Market Economics, Macroeconometrics, and the economics of the tourism industry, with a particular emphasis on technical efficiency, econometric modeling, and the economic impact of infrastructure and events in Ireland. Bachelor of Arts, University College Cork (1993) Higher Diploma, University College Cork (1994) Master of Arts, University College Cork (1996) Advanced Econometrics, London School of Economics and Political Science His work spans econometric modeling of tourism demand, technical efficiency analysis in healthcare (public hospitals and nursing homes), and SME performance. He employs stochastic frontier analysis, bootstrap DEA, and multivariate approaches to address questions of returns to scale, ownership impacts, and public policy relevance. Recent publications include analyses of technical efficiency in Irish public hospitals (2024), scheduling in sports leagues (2022), and SME performance drivers (2017). Collaborations with researchers like Ni Luasa and Zieba highlight interdisciplinary and international focus. Member, Data Analysis Laboratory Committee (External Organisation) Member, Irish Economic Association
Henning Kirschenmann is a tenured Professor at LUT School of Engineering Sciences and an Academy Research Fellow at the Helsinki Institute of Physics . He specializes in jet-energy corrections , hadronic final states , and machine learning applications for particle physics data analysis. Education Dr. rer. nat. (Physics) from University of Hamburg (2011–2014) Dipl. Phys. (Physics) from University of Hamburg (2010–2014) Research Interests His research focuses on particle physics with emphasis on CMS experiment data analysis. Key areas include jet energy corrections , top quark properties , Higgs boson decays , and quantum entanglement studies. He develops machine learning techniques for detector optimization and trigger systems , while investigating new physics through dark matter signatures and long-lived particles . Scientific Contributions Kirschenmann has contributed to 15+ CMS experiment publications since 2024, covering: Higgs boson and Z boson rare decay analyses Top quark polarization and spin correlations Jet substructure studies in proton-proton and heavy-ion collisions Detector performance evaluations for muon reconstruction and electromagnetic calorimetry Statistical analysis of multijet events and WW production Awards & Grants Research Council of Finland Starting Grant (1.1 million EUR) Academy Research Fellow (2024–present) Leadership Roles He has led multiple CMS subgroups including: Group leader for top quark mass (2022–2023) Group leader for jets and MET (2020–2022) Group leader for jet energy corrections (2016–2018)
Joshua Kilborn is a Research Assistant Professor at the University of South Florida's College of Marine Science . His work bridges ecological theory, fisheries management, and computational methods to address complex marine resource challenges. Ph.D., Marine Science (2017), University of South Florida Specializes in ecosystem-scale analyses and statistical methodology development Teaches Biometry and Applied Multivariate Statistics courses annually Kilborn focuses on ecosystem-based fisheries management through the lens of dynamical systems theory , examining spatiotemporal patterns that govern marine resource organization. His research integrates parametric and non-parametric multivariate statistics to create decision-support tools like the Gulf of Mexico fisheries ecosystem model. Recent publications highlight his interdisciplinary approach across marine ecology , computational methods , and resource management . Articles discuss climate-fisheries interactions , statistical clustering techniques , and habitat utilization patterns in tropical reef ecosystems. His technical work includes MATLAB-based software development (Darkside Toolbox) for numerical ecology applications, with emphasis on identifying appropriate spatiotemporal scales for marine monitoring programs.
Katrine Lawaetz Kristensen serves as an Assistant Professor at the Institute for Health Services Research, University of Southern Denmark, specializing in the Epidemiology, Biostatistics and Biodemography (EBB) department within the Faculty of Health Sciences. Her research primarily focuses on cardiovascular diseases with particular emphasis on abdominal aortic aneurysm, diabetes, and related vascular conditions. Dr. Kristensen's research interests span cardiovascular epidemiology, with special expertise in abdominal aortic aneurysm, diabetes complications, and vascular diseases. Her methodological strengths include cohort analysis, systematic reviews, and meta-analyses, with significant contributions to understanding the epidemiology of cardiovascular conditions through population-based studies and screening programs. Her fingerprint analysis shows strong focus areas including Abdominal Aortic Aneurysm (100%), Diabetes (39%), Cohort Analysis (34%), Odds Ratio (28%), Meta-Analysis (25% in Nursing and Health Professions), Case-Control Study (25%), Meta-Analysis (24% in Medicine and Dentistry), and Systematic Review (22%). Her publication record demonstrates consistent high-impact research output, with notable recent publications in the Journal of the American Heart Association, Journal of the American College of Cardiology, European Journal of Cardiovascular Nursing, and BMC Cardiovascular Disorders. Her work frequently employs population-based approaches, systematic reviews, and meta-analyses to address important questions in cardiovascular epidemiology and clinical practice. Dr. Kristensen has established collaborative research networks both nationally and internationally, as evidenced by her multi-center studies and co-authorships with researchers across different institutions. Her research has practical implications for screening programs, risk assessment, and clinical management of cardiovascular conditions.
Dr. Han Chen is an Associate Professor at Valdosta State University specializing in physical activity research, physical education pedagogy, and school-based health interventions. He holds a Ph.D. in Kinesiology from West Virginia University, an M.Ed. in Physical Education Pedagogy from Shanghai University of Sport, and a B.Ed. in Coaching Sport from Shanghai University of Sport. Research Focus: Multivariate factors influencing physical activity, cross-cultural validation of behavioral scales, and technology-driven interventions (e.g., active video games) for youth and older adults. Key Contributions: Systematic reviews and meta-analyses on global physical activity levels, measurement invariance studies, and validation of psychometric tools for physical education contexts. Publications: His work spans physical activity correlates, fall prevention in older adults, and the interplay between BMI, fitness, and health outcomes across populations. Contact: hanchen@valdosta.edu | PE 1121, Valdosta State University, 1500 N. Patterson St., Valdosta, GA 31698.
Seung-Joo Lee is a Professor at the Department of Food Service Management , College of Hospitality & Tourism , Sejong University . With a PhD from the University of California, Davis, and a B.S. from Ewha Womans University, Lee specializes in sensory and instrumental analysis of Korean traditional foods, including rice wines, liquors, and fermented products. Education: Ph.D., University of California, Davis B.S., Ewha Womans University Research Interests focus on sensory evaluation, volatile compound analysis, and multivariate statistical methods (e.g., Principal Component Analysis, Artificial Neural Networks) to develop food quality standards. Their work extends to texture-modified foods for elderly populations, combining clinical surveys with sensory science. Publications highlight studies on antioxidant capacity, distilled beverages, and starch applications, utilizing techniques like GC-MS and CATA. Recent outputs include analyses of hydroponically grown garlic, tea preparation methods, and udon noodles. Awards: Outstanding Science and Technology Paper Award (2009) by The Korean Federation of Science and Technology Societies. Professional Experience includes roles as Managing Editor of Food Science & Biotechnology (2018-2019) and Chair of the Sensory and Consumer Science Division at the Korean Society of Food Science and Technology (2014-2017). They have published over 30 SCI/SCOPUS articles and 35 KCI articles, with 60+ conference presentations.
Tenichi Cho is an Assistant Professor (without tenure) at the Center for Data Science, Waseda University, Japan. He specializes in sedimentary geochemistry, palaeoclimate reconstruction and compositional-data analysis, with a focus on Mesozoic oceanic anoxic events and chemical weathering proxies. Since 2023 he has led competitive JSPS grants and teaches an extensive portfolio of data-science courses across Waseda’s Global Education Center. Education: Ph.D. 2023, Waseda University, Graduate School of Creative Science and Engineering (Earth Sciences, Resources and Environmental Engineering) B.Sc. 2018, Waseda University, School of Education, Department of Science (Earth Science Major) Research Interests: Sedimentology, palaeoenvironmental change, chemical weathering indices, Cretaceous and Triassic climate extremes, global warming feedbacks, and multivariate statistical techniques applied to sedimentary compositional data. Recent Publications Trend: Cho’s 2022–2025 articles reveal a consistent trajectory in high-resolution chemostratigraphy, combining novel weathering indices (RW index) with redox-sensitive element and isotope analyses to decode Jurassic and Triassic environmental crises such as the Toarcian OAE and the Carnian Pluvial Episode. His work increasingly couples field-based sedimentary records with quantitative data-science tools. Scientific Awards: Best Oral Presentation, 37th IGC (2024) GeoSciAI2024 Award, JpGU (2024) Sedimentological Society of Japan Paper Award (2024) Waseda Early-Bird Best Collaborative Research Award (2022) Best Poster, IGCP 679 (2019) Grants & Projects: Cho currently heads two JSPS KAKENHI projects (2024-2027) targeting universal palaeoclimate proxies and carbon-cycle feedbacks, and has completed Waseda and Fukada Geological Institute grants on Cretaceous Asian weathering and Triassic volcanism–climate coupling. Teaching & Labs: He delivers over 30 undergraduate data-science and statistics courses each year at Waseda’s Global Education Center, spanning introductory literacy to advanced modelling with R and Python, and is affiliated with the university’s Center for Data Science research community.
Pier-Olivier Caron is a Professor at TÉLUQ University since 2017, specializing in quantitative psychology with expertise in multivariate analyses and structural equation modeling. He holds a Ph.D. in Psychology from the University of Quebec in Montreal. Education: Ph.D. in Psychology, University of Quebec in Montreal, 2017 Research Focus: Dr. Caron's work centers on democratizing advanced quantitative methods through rigorous theoretical frameworks and practical tool development. His scholarship bridges structural equation modeling, latent class analysis, and factor analysis with applications across behavioral sciences. He emphasizes accessibility of complex methodologies for diverse research communities. His scholarly output includes two authoritative books— La modélisation par équations structurelles avec Mplus and Méthodes quantitatives avec R —nearly fifty peer-reviewed articles, and over thirty conference presentations. His methodological innovations manifest in R packages Rnest (factor analysis optimization) and poLCAExtra (latent class evaluation), reflecting his commitment to open-science infrastructure. Professional Contributions: Primary developer of Rnest package for factor analysis Creator of poLCAExtra package for latent class analysis Regular presenter at national/international methodology conferences Dr. Caron integrates research, teaching, and software development to advance quantitative methodology training, with particular emphasis on making structural equation modeling techniques accessible to non-specialists through pedagogical resources and workshops.
Andy Wei Hao is Professor of Marketing and Department Chair of Management, Marketing and Entrepreneurship at the Barney School of Business, University of Hartford. His academic leadership encompasses curriculum development, faculty supervision, and strategic planning for the business programs. Contact: hao@hartford.edu | 860.768.4809 | Auerbach Hall 310B. Education: PhD, Kent State University MBA, Kent State University BA, Peking University Research Focus: Professor Hao investigates global marketing phenomena through four interconnected domains: International Marketing : Cross-cultural consumer behavior and market entry strategies Brand Architecture : Equity development and perception mechanisms Digital Commerce : Online pricing models and e-marketing tactics Strategic Marketing : Competitive positioning in globalized markets Publication Trends: His scholarly output demonstrates consistent focus on empirical analyses of consumer behavior in international contexts, with recent works examining cultural variables in brand perception, digital pricing innovations, and emerging market dynamics. Research consistently incorporates methodological rigor through multivariate statistical modeling.
