Sergio Ocampo Diaz is an Assistant Professor in the Department of Economics at the University of Western Ontario. His research examines macroeconomic theory with emphasis on heterogeneous agent modeling and wealth distribution dynamics. Recent publications analyze income risk patterns, technology scalability, and minimum wage policy interactions. Current projects investigate wealth mobility lifecycle dynamics and monopsony power effects on monetary policy transmission.
Elisa Cavatorta is a Professor of Economics and Vice Dean (International) at King's College London's Faculty of Social Science and Public Policy. She leads international academic partnerships, oversees global initiatives, and teaches in the Department of Political Economy. Previously, she held postdoctoral roles at SOAS and the Institute for Fiscal Studies after earning her PhD in Economics from Birkbeck, University of London. Her research focuses on conflict dynamics, preference formation under violence, and policy evaluation. Methodologically, she employs experimental economics, RCTs, and machine learning. Key areas include Middle Eastern conflict resolution, healthcare access barriers, and behavioral responses to violence. She has secured funding from the Qatar National Research Foundation, Emirates Foundation, and AXA Research Fund. As Vice Dean, she manages international collaborations, oversees student mobility programs, and administers global partnership agreements. Notable initiatives include dual-degree programs and cross-university research competitions. Key Research Themes: Conflict Economics, Behavioral Public Policy, Development Interventions Regional Expertise: Middle East, South Asia Her recent work explores peace agreement preferences among Israelis/Palestinians and the cognitive impacts of digital anxiety treatments. She co-leads King's Virtual Reality Lab for mental health innovation and chairs the Political Economy of Peace research group.
Sebastiano Delre is an Associate Professor in the Department of Marketing, Sales, & Branding at MBS Education. His research focuses on social influence mechanisms, network science, and innovation diffusion in marketing contexts, with a particular emphasis on shared consumption behaviors, agent-based modeling, and big data analysis. Methodologically, he bridges social science, statistics, and computer science to study marketing dynamics. His work examines topics such as strategic budget choices in the motion picture industry, brand personality impacts on equity over time, and the temporal dynamics of electronic word-of-mouth on movie box office performance. Recent studies include investigations into how internships foster innovation and frugal behavior among students. Delre's research has been published in prestigious journals like the Journal of Industrial Economics , Journal of the Academy of Marketing Science , and Journal of Marketing Research . His approach combines rigorous quantitative methods with practical insights, aiming to uncover how consumer decisions and social interactions shape market outcomes. Despite no explicitly listed awards, his prolific publication record reflects his scholarly contributions. While no formal advising or grant details are provided, his work consistently addresses applied marketing challenges through computational simulations and longitudinal data analysis.
Alberto Franceschini is a Full Professor at the University of Padua , specializing in cosmology and high-energy astrophysics. He is affiliated with CISAS (Center for Studies and Activities for Space) and has held leadership roles in international astronomical collaborations, including the INAF Working Group on Active Galaxies and Quasars. His career spans decades of contributions to space astronomy missions such as ISO, Spitzer, Herschel, and Planck. Positions include Team Scientist roles for VLT instruments (VISIR, SINFONI) and PI for XMM and ISO surveys of high-redshift galaxies. Former member of ESA's Astronomy Working Group and ESO's Observing Program Committee, Cosmology panel. Research Interests : Franceschini's work focuses on galaxy evolution, cosmic background radiation, and statistical techniques for astronomical data analysis. Key projects include deep cosmological surveys, extragalactic X-ray studies, and infrared spectroscopy of high-redshift galaxies. His expertise extends to multi-wavelength observations (radio to X-ray) and luminosity function modeling in cosmological surveys. Awards and Memberships : 2009 - Elected member of the Italian National Galilean Academy 1990 - International Astronomical Union membership 1983 - Italian Astronomical Society membership Leadership and Collaborations : He has chaired Padova University's Degree Courses in Astronomy (2002-2009) and contributed to strategic planning as a consultant for INAF. Major collaborations include NASA/ESA projects (JWST, SWIRE, COSMOS) and leadership in the EC TMR Network POE. Franceschini also served on ESO committees for observatory time allocation and instrumentation.
Aureo de Paula is a Professor of Economics at University College London (UCL), Department of Economics. He holds positions at several prestigious research institutions including the Centre for Microdata Methods and Practice (UK), the Institute for Fiscal Studies (UK), and CEPR. He is an elected Fellow of the Econometric Society and the International Association for Applied Econometrics, and a Turing Fellow (2021/23). His educational background includes: B.A. and M.Sc. in Economics from Pontificia Universidade Catolica—RJ (Brazil) in 1996 and 2000 M.A. and Ph.D. in Economics at Princeton University in 2002 and 2006 Aureo de Paula is an applied econometrician whose research focuses on the intersection of applied economic theory, econometrics and empirical microeconomics. His work spans methodological questions like the identification and estimation of multi-agent models, and empirical applications, mostly problems in developing nations and industrial organisation. His recent publications demonstrate expertise in network formation, environmental economics, health economics, and econometric methodology. His research has been featured in prominent media outlets including The Times, The Daily Mail, Economics Observatory, WSJ, and Chicago Booth Review. Professor de Paula has held significant editorial positions, including: Co-editor at the Journal of Econometrics (since 2023) Director for the Review of Economic Studies (2020-2023) Associate editor for The Review of Economic Studies, Journal of Business and Economic Statistics, Econometrics Journal, Econometric Reviews, and the Journal of Econometrics His scientific awards and recognitions include: Elected Fellow of the Econometric Society Elected Fellow of the International Association for Applied Econometrics Irving B. Kravis Award for Excellence in Undergraduate Teaching at the University of Pennsylvania Faculty Education Award at UCL (joint with Dunli Li) ERC Starting Grant (2013) Turing Fellow (2021/23) Professor de Paula serves in important leadership roles, including as an elected member of the Econometric Society Council and as chair of its Latin America Regional Standing Committee from 2022 until 2025. His research has been supported by various grants, including the ERC Starting Grant, and he has collaborated with institutions like the Office for National Statistics and The Alan Turing Institute.
Dr. Mia Zhu is an Assistant Professor in the Industrial and Organizational Psychology program at Texas A&M University. She holds a Ph.D. in Industrial and Organizational Psychology from George Mason University. Her research focuses on employee well-being, work stress recovery, work-life balance, and innovative research methods such as just-in-time adaptive interventions (JITAI). She leads the Recovery from Work Stress (REST) Lab at TAMU, which explores methodological advancements in I/O psychology and practical solutions for workplace well-being. Dr. Zhu’s educational background includes a Ph.D. from George Mason University, emphasizing applied research in organizational behavior and psychological well-being. She is affiliated with professional organizations like the Society for Industrial and Organizational Psychology (SIOP), Academy of Management (AOM), and the American Psychological Association (APA). Her research interests span cognitive reappraisal interventions, resilience in work environments, and the role of supervisors in facilitating recovery. Key themes include leveraging technology for real-time interventions and understanding the psychological mechanisms behind work-leisure interactions. Recent studies highlight the impact of work breaks, telework dynamics, and the relationship between sleep and counterproductive work behavior. Dr. Zhu’s scholarly contributions include over 15 peer-reviewed articles, with a focus on methodological rigor and practical applicability. She actively mentors graduate students (accepting applications for 2025-2026) and collaborates on grants exploring workplace interventions and recovery strategies. The REST Lab serves as a hub for interdisciplinary research, emphasizing collaboration and evidence-based solutions.
Dr. Amir Moradi is a Senior Lecturer in Accounting at the School of Business, Law and Entrepreneurship, Swinburne University of Technology. He holds a PhD in Engineering from the same institution and specializes in efficiency and productivity analysis, sustainability, and environmental/social performance. His research spans sectors like universities, banking, and mining, with publications in high-impact Q1/Q2 journals such as Annals of Operations Research and Economic Modelling . Education: PhD in Engineering (Swinburne University of Technology), focused on mathematical and modeling techniques for efficiency analysis. Research interests include: Efficiency analysis of public and private sectors Sustainability and environmental performance metrics Banking and financial sector efficiency Integrated reporting and corporate governance Key research trends in his articles focus on: Quantifying impacts of carbon pricing and climate policies Methodological advancements in data envelopment analysis (DEA) Post-GFC banking efficiency and risk management Superannuation withdrawal effects on retirement savings Grants include funding from AFAANZ and Swinburne for projects on ESG integration in portfolios, integrated reporting impacts, and Malaysian corporate efficiency. He has supervised numerous PhD/Master’s candidates on topics like banking performance in Vietnam, airline inefficiency drivers, and renewable energy policy.
Jason Kautz is an Assistant Professor in the Department of Organizations, Strategy and International Management at the Naveen Jindal School of Management, The University of Texas at Dallas, where he joined in fall 2020. His research focuses on social dynamics at work, including trust, counterproductive workplace behaviors, and social undermining, with methodological expertise in multilevel modeling and growth modeling. Education: PhD, University of South Carolina, 2020 MBA, Canisius College, 2013 BS, Canisius College, 2012 Dr. Kautz's research centers on understanding social dynamics in the workplace. He investigates the reciprocal relationship between employees and customers, the dynamic growth of trust at work, and the enactment of counterproductive workplace behaviors and social undermining. His methodological expertise includes multilevel theory and random-coefficient modeling, with a specific focus on growth modeling. This work contributes to the fields of organizational behavior and human resource management. His recent publications (2021-2025) reveal a strong focus on pay-related topics (e.g., pay equity, transparency, and education) and trust dynamics. Additionally, he has applied his expertise in multilevel modeling to military contexts, examining mental health trajectories and the effects of combat exposure. His work often employs longitudinal and multi-wave designs, reflecting his methodological strengths. Scientific Awards: None mentioned in the provided materials. Dr. Kautz teaches courses including OBHR 3330 Introduction to Human Resource Management. While specific grant information is not provided, his research on workplace dynamics and pay systems suggests active involvement in academic research. He has not listed any advisees in the provided information. There is no information available about labs or research teams led by Dr. Kautz in the provided materials.
Yiguo Sun is a Professor of Economics and University Research Leadership Chair at the University of Guelph, Department of Economics and Finance. She specializes in econometrics, focusing on semi-/nonparametric methods for panel data, non-stationary time series, and spatial regression models. Her research addresses issues such as investment dynamics, social interactions, and threshold effects. She holds a B.Sc. and M.Sc. from Hebei Normal University, an M.A. from the University of Guelph, and a Ph.D. from the University of Toronto. Awards include the CBE Senior Research Fellow (2018-2021) and University Research Leadership Chair (2022-2025). Education: B.Sc. in Mathematics, Hebei Normal University (1993) M.Sc. in Mathematics, Hebei Normal University (1996) M.A. in Economics, University of Guelph (1997) Ph.D. in Economics, University of Toronto (2002) Research Interests: Dr. Sun’s work centers on advancing econometric methodologies, particularly in nonparametric and semiparametric frameworks. Key areas include: Threshold regression models and their applications in inflation dynamics and social interactions Spatial econometrics and panel data analysis Nonlinear estimation techniques addressing endogeneity and measurement error Economic growth and natural resource nexus Recent Contributions: Her 2024 paper on investment-uncertainty relationships introduced a novel estimator addressing endogeneity and measurement bias. The 2023 Social Threshold Regression advanced peer effect analysis through a spatial Durbin framework. Recent articles explore spatial spillovers in trade policies and Canadian inflation dynamics using threshold models. Awards: University Research Leadership Chair (2022-2025) CBE Senior Research Fellow in Spatial Econometrics (2018-2021) SSHRC Insight Grant (2022-2025) Grants & Advising: She leads SSHRC-funded projects on social networks and measurement errors in finance. Supervised students include Delong Li (investment dynamics), Chaoyi Chen (threshold estimation), and Hui Xiao (model averaging). Research teams focus on econometric theory and applied policy analysis. Labs/Teams: Active in the University of Guelph’s CBE research community, collaborating with Thanasis Stengos, Emir Malikov, and international scholars on spatial econometrics and nonlinear methods.
Professor Ron Smith is a distinguished economist at Birkbeck, University of London, where he has served for over 47 years since joining in 1976 after earning his BA (1968) and PhD (1974) from the University of Cambridge. Recognized globally as the 'father of defence and peace economics', he revolutionized the field by applying rigorous econometric methods to arms trade analysis and military expenditure studies. Education BA, University of Cambridge, 1968 PhD, University of Cambridge, 1974 Research Focus Smith's pioneering work bridges economics, political science, and security studies, with seminal contributions to defence economics, arms control, and econometric methodology. His research demonstrates how quantitative analysis illuminates 'murky markets' like arms trading, emphasizing that explanations combining economics and politics yield deeper insights than single-discipline approaches. He actively explores applications ranging from Caribbean monetary policy to football economics. Publication Trends His recent scholarship exhibits remarkable breadth, spanning advanced econometric techniques (panel data, factor models), defence procurement failures, and macroeconomic stability. The 2022-2025 publications reveal intensified focus on methodological innovation in forecasting and asset pricing alongside critical examinations of global tensions' economic consequences, maintaining his signature integration of theoretical rigor with real-world policy relevance. Scientific Recognition 2011 Lewis Fry Richardson lifetime achievement award for scientific studies of militarised conflict Fellow of the International Association for Applied Econometrics Shortlisted for 2010 Duke of Westminster’s Medal for Military Literature Mentorship and Policy Impact Smith has trained generations of economists through PhD supervision in economics and political science, fostering interdisciplinary approaches to security studies. His consultancy for the UK Treasury, Bank of England, National Audit Office, and RAND Europe demonstrates exceptional policy relevance, translating complex econometric analyses into actionable defence and macroeconomic insights while maintaining credibility across peace movements and military institutions.
Heather Desaire is a University Distinguished Professor and holds the Keith D. Wilner Chair in Chemistry at the University of Kansas, Department of Chemistry. Her research focuses on mass spectrometry applications in bioanalytical and physical organic chemistry, including structural analysis of glycoproteins and organic reaction mechanisms. She pioneered methods to characterize glycopeptides using tandem mass spectrometry and developed rules for dissociation reactions in mass spectrometry. Her recent work integrates machine learning for biomarker discovery, Alzheimer’s disease studies, and detecting AI-generated academic texts. Key tools developed by her group include GlycoPep DB and GlycoPep ID for glycopeptide analysis. Education: B.A. in Chemistry from Grinnell College (1997), Ph.D. in Chemistry from University of California, Berkeley (2001). Postdoctoral work at Quintiles Inc. (2002). Research Interests: Mass spectrometry of glycoproteins and small organic molecules. Machine learning applications in proteomics and biomarker validation. Forensic analysis of latent fingerprints and sebum via mass spectrometry. Structural studies of HIV envelope glycoproteins and vaccine development. Publications highlight advancements in AI detection (over 99% accuracy distinguishing ChatGPT text), Alzheimer’s biomarkers, and lipidomic studies using non-invasive sampling. Her work has been supported by grants including the NSF Career Award and the ASMS Research Award. Awards: William T. Kemper Award for Excellence in Teaching (2009), NSF Career Award (2007-2012), and ASMS Research Award (2006). Lab: Desaire Research Group develops cutting-edge tools for glycoproteomics and mass spectrometry data analysis. Collaborations focus on translational research in virology, neurodegenerative diseases, and forensic science.
John V. Tucker is a Professor of Computer Science at Swansea University since 1989. He served as Head of the Department of Computer Science (1994-2007) and Head of the School of Physical Sciences (2007-2011). His research spans theoretical computer science, history of computing, and computational foundations of physics. Education: MSc in Mathematical Logic and Foundations of Mathematics and Computer Science (1974) and PhD in Mathematical Logic (1977) from the University of Bristol. His research interests include the theory of synchronous algorithms, physical foundations of computation, algebraic specification, and algorithmic models of nonlinear systems. He pioneered equational specification methods for microprocessors, 3D graphics, and whole-heart modeling. Scientific awards include: Founding Fellow of the Learned Society of Wales (2010) Elected Fellow of British Computer Society (1998) He has supervised 16 PhD students directly and contributed to supervision in Uppsala, served on EU project evaluation panels, chaired appointments, and led editorial roles in journals and book series.
Prof. Ahmet Alkan ÇELİK is the current Rector of Doğuş Üniversitesi, serving since September 2024. He holds a Professorship in the Department of Economics at the Faculty of Economics and Administrative Sciences. His academic journey includes roles as Beykent Üniversitesi’s Vice Rector (2024), Dean (2018–2024), and Chair of the Board of Trustees (2013–2024). He earned his PhD from Marmara Üniversitesi’s Middle East Studies Institute in 2019, focusing on macroeconomic analysis of Gulf economies. Education: Bachelor’s in Economics, İstanbul Üniversitesi (2000) Master’s in Social Sciences, Beykent Üniversitesi (2004) PhD in Middle Eastern Economic Analysis, Marmara Üniversitesi (2006) Research focuses on Macroeconomics, Economic Growth, Inflation, and Development Economics , with emphasis on policy impacts in emerging markets. His work bridges theoretical frameworks with regional case studies, particularly in the Middle East and Balkans. Recent studies analyze pandemic-era monetary policies and university-industry collaboration models. Administrative leadership spans over 15 years, including roles as University Secretary (2009), Institute Director (2013), and International Relations Officer (2018). He has advised numerous academic programs and led institutional reforms.
Cristian Marius Litan is an Associate Professor in the Department of Statistics, Forecasting, and Mathematics at the Faculty of Economics and Business Administration, Babeș-Bolyai University, Cluj-Napoca, Romania. He has served in significant administrative roles, including Vice-Rector of the university since 2016 (with a brief interruption in 2021), and as State Secretary at the Ministry of Research, Innovation and Digitalization in Bucharest. His academic background includes a PhD in Economics from Universidad Carlos III de Madrid (2009), an MA from Central European University, Budapest (2002), and a BA from Babeș-Bolyai University (2000). He has taught courses such as Descriptive and Inferential Statistics, Public Economics, Basic and Advanced Econometrics, and Panel Data Econometrics at both undergraduate and graduate levels. His research interests center on econometrics, statistical modeling, economic forecasting, and public economics, reflecting his teaching and professional work in economic policy and modeling. His expertise is supported by proficiency in statistical software including Stata, EViews, SPSS, and programming languages like MATLAB, Gauss, and C++. Cristian Marius Litan has held long-standing academic and leadership roles at Babeș-Bolyai University, contributing to both education and institutional governance. He has not been mentioned as receiving specific scientific awards or leading research grants in the provided text. He is fluent in English and Spanish, with advanced writing skills in Spanish, and maintains an active academic presence through teaching and university administration. No information on PhD or master's students under his supervision is provided in the available data.
Joseph Dwyer is a Professor in the Department of Physics and Astronomy at the University of New Hampshire (UNH), where he conducts groundbreaking research in high-energy atmospheric physics. His work focuses on lightning physics, terrestrial gamma-ray flashes (TGFs), x-rays from lightning, and thunderstorm radiation environments. Research Interests: His primary research areas include Atmospheric Physics, High-Energy Atmospheric Physics, Lightning Physics, Terrestrial Gamma-Ray Flashes, X-rays from Lightning, and Relativistic Runaway Electron Avalanches. He investigates how thunderstorms can produce intense bursts of gamma rays and energetic particles, challenging traditional models of atmospheric discharges. Recent Research Trends: Over the past decade, Dwyer’s publications have centered on the mechanisms of TGF generation, relativistic feedback discharges, radio emissions from lightning, and high-speed observations of streamer and leader processes. His work combines theoretical modeling, numerical simulations, and data from ground-based, airborne, and satellite instruments such as Fermi GBM and LOFAR. Scientific Awards: Dwyer has not been explicitly mentioned as receiving specific prizes or fellowships in the provided text, but his extensive funding and leadership roles indicate high recognition in the field. Advising and Grants: He has served as Principal Investigator on numerous federally funded research projects from NASA, NSF, and DOD. His grants support investigations into lightning initiation, TGF modeling, radio emissions, and high-speed imaging. He has also been repeatedly appointed to advisory panels, including multiple Lightning Advisory Panels for NASA and a Blue Ribbon Panel for the Department of Energy, underscoring his national influence. Labs and Teams: While specific lab names are not provided, Dwyer leads a research group focused on high-energy atmospheric phenomena, collaborating with institutions such as Duke University, Florida Institute of Technology, and the Air Force. His team utilizes advanced computational models and participates in airborne and ground-based observational campaigns.
