Ádám Koncz is an Assistant Professor at the Institute of Health Promotion and Sport Sciences within the Faculty of Pedagogy and Psychology at Eötvös Loránd University (ELTE). His research focuses on the psychophysiological effects of mindfulness-based interventions, particularly their impact on executive functions, stress reduction, and behavioral problems in children. He investigates stress paradigms, school entry stress, and cortisol regulation mechanisms. He leads the Psychophysiology of Physical Sensations and Emotions Research Group and collaborates with the Cognitive Development and Education Research Group (ELTE Institute of Educational Sciences) and the György Ádám Psychophysiology Research Group at Károli Gáspár Reformed University. His teaching activities include lectures on biological psychology and supervision of master’s theses in Psychology and Sports Management. Key research contributions include meta-analyses on meditation’s cortisol-reducing effects, pilot studies on mindfulness interventions for schoolchildren, and investigations into yoga-based interventions’ impacts on psychological and physical health. He has secured grants including the ÚNKP-20-4 scholarship for studying mindfulness’s effects on high school students and the EKÖP-24-4 grant exploring cross-stressor adaptation hypotheses.
Dr. Aaron Yelowitz is a Professor of Economics at the University of Kentucky and a joint faculty member in the Martin School of Public Policy and Administration. He holds editorial roles at the Journal of Labor Research , Public Finance Review , and Inquiry . With a PhD from MIT (1994) and BA from UC Santa Barbara (1990), his career includes prior roles as an Assistant Professor at UCLA and Director of the Institute for the Study of Free Enterprise (ISFE), which secured a $3M gift under his leadership. His research focuses on healthcare policy, Medicaid, labor economics, and public policy impacts, often analyzing real-world interventions like the Affordable Care Act (ACA). His work has been cited in major media outlets and on national TV programs. Dr. Yelowitz’s research interests span health insurance markets, adverse selection, racial disparities in healthcare, and policy evaluation. Notable areas include ACA’s effects on coverage disparities, Medicaid enrollment integrity, and the economic consequences of social distancing during pandemics. He also explores labor market dynamics, such as predictive scheduling laws and ex-offender employment programs. His recent articles highlight pandemic-related studies (e.g., racial disparities in COVID-19 outcomes), ACA’s long-term impacts, and insurance market behaviors. Though no formal awards are listed, his prolific publication record and media presence underscore his influence in public policy discourse. He advises on policy reforms and has collaborated with institutions like the Cato Institute and IZA.
Chris Newland is a Professor in the Department of Psychological Sciences at Auburn University, College of Liberal Arts. His research examines the behavioral consequences of neurotoxicants and drugs, particularly methylmercury and psychostimulants, across the lifespan, using experimental models in rodents. He is funded by the National Institute of Environmental Health Sciences and contributes significantly to the fields of behavioral pharmacology and neurotoxicology. Education: Postdoctoral Fellowship, University of Rochester PhD, Georgia Institute of Technology BEE, Auburn University Dr. Newland’s research integrates experimental analysis of behavior with environmental health and psychopharmacology, focusing on how neural disruptions from toxins manifest in behavior. His work emphasizes quantitative modeling of behavior, developmental trajectories (early life to aging), and cognitive processes such as decision-making, impulsivity, and learning flexibility. He frequently publishes on methylmercury, cocaine, and amphetamine effects in adolescent and adult models. His recent publications show a strong trend in neurodevelopmental toxicology, particularly the long-term cognitive and behavioral impacts of early exposure to environmental contaminants. These studies use sophisticated behavioral paradigms like reversal learning, delay discounting, and fixed-ratio schedules to quantify neurobehavioral deficits. Scientific Awards and Honors: APA Division 25 Award for Distinguished Contributions to Behavior Analysis Auburn University Creative Scholarship Award Fellow, Association for Behavior Analysis International (ABAI) Dr. Newland serves on the editorial boards of Journal of the Experimental Analysis of Behavior , Perspectives on Behavior Science , Policy Insights from the Behavioral and Brain Sciences , Neurotoxicology (as Associate Editor), and Neurotoxicology and Teratology . He previously served on an NIH study section for neurotoxicology and alcohol. He mentors graduate students and teaches courses including Drugs and Behavior, Biopsychology, and Behavioral Effects of Environmental Contaminants. He has secured external funding from NIEHS and actively contributes to national scientific discourse on behavioral science and environmental policy. He is actively involved in research teams focused on neurotoxicology and behavioral modeling, collaborating across disciplines to translate experimental findings into public health insights.
Włodzimierz Brząkała serves as academic staff at Wrocław University of Science and Technology's Faculty of Civil Engineering within the Department of Geotechnology, Hydro Technology, and Underground and Hydro Engineering. Holding DSc, PhD, and Eng credentials, he maintains active teaching and research responsibilities with current office hours held Tuesdays 7:30-9:00 in room 122 (building D-2) and Wednesdays via MS TEAMS. His research centers on probabilistic approaches to geotechnical challenges, specifically randomness in subsoil parameters, soil-foundation interaction, and optimization of foundation-engineering techniques including retaining walls, piles, and reinforced soils. He investigates mining geoengineering applications and develops computational models for risk assessment in geoengineering constructions, emphasizing stochastic methods to enhance structural reliability. Analysis of his 2017-2024 publications reveals consistent focus on integrating probabilistic modeling with practical foundation design, particularly through polynomial chaos expansion, spatial averaging of random fields, and sensor-based vibration monitoring. His work bridges theoretical computational mechanics with real-world applications in pile testing, Eurocode 7 implementation, and hybrid retaining structure design. Dr. Brząkała provides regular student consultations with flexible scheduling for project completion periods, demonstrating active engagement in academic supervision despite no listed advisees in available records.
Trang Quynh Nguyen is an Associate Research Professor in the Department of Mental Health at Johns Hopkins Bloomberg School of Public Health, affiliated with the Stuart Lab. She holds a PhD from Johns Hopkins (2021), MHS from Johns Hopkins (2014), MS from Harvard School of Public Health (2001), and BA from Hanoi Foreign Trade University (1995). Her work focuses on causal inference methods applied to public health challenges, particularly in HIV/AIDS research, mental health, and social justice. Her research emphasizes mediation analysis, missing data techniques, and treatment effect heterogeneity. She develops statistical methods for handling complex data limitations while maintaining user-friendly applications. Key areas include sensitivity analysis, generalizability of trial results, and equity-focused health disparity measurements. Nguyen has published 54+ peer-reviewed articles since 2014, with recent work on causal forest models for treatment heterogeneity, methodological guidance for mediation analysis, and vulnerability scoring for HIV viral non-suppression. Her collaborations span global health, substance use disorders, and LGBTQ+ health equity. Labs/Teams: Stuart Lab (Causal Inference & Methodology).
Felix Elwert is the Vilas Distinguished Achievement Professor of Sociology at the University of Wisconsin-Madison, with a joint appointment in Biostatistics. He specializes in causal inference methodologies and investigates social inequality, demography, and health disparities through large-scale experiments, population registers, and survey analyses. His work bridges sociology, statistics, and public health, with notable contributions to understanding peer effects, neighborhood effects, and methodological innovations in causal analysis. Elwert holds a Ph.D. in Sociology (2007) and M.A. in Statistics (2006) from Harvard University. Before his current position, he served as Karl W. Deutsch Professor and Acting Director of Social Inequality and Social Policy at the WZB Berlin Social Center (2014–2016). He currently leads the Sociological Methods & Research journal as Editor-in-Chief. His research focuses on: Contextual drivers of inequality in income, education, and health Causal mediation analysis Experimental designs for estimating peer effects Bias detection in statistical models Elwert has received prestigious awards including the ASA's Causality in Statistics Education Award (first recipient) and the ASA's Leo Goodman Award. His collaborations span institutions globally, emphasizing interdisciplinary approaches to causal questions. He teaches advanced causal inference courses at UW-Madison and international universities, covering topics like graphical models, mediation analysis, and experimental design. His campus affiliations include the Center for Demography and Ecology, Center for Demography of Health and Aging, and Institute for Diversity Science.
Irena Bagińska is a Researcher at the Department of Mining within the Faculty of Geoengineering, Mining and Geology at Wrocław University of Science and Technology. Her work focuses on geotechnical engineering applications in mining, particularly landslide hazard assessment, soil mechanics, and mine waste management. She utilizes advanced field testing methods like CPTu and SCPTu for soil characterization and foundation design. Primary Affiliation: Wrocław University of Science and Technology Faculty: Faculty of Geoengineering, Mining and Geology Department: Department of Mining Email: irena.baginska@pwr.edu.pl Research trends include: Reliability analysis of structures (sheet pile walls, retaining walls, piles) in spatially variable soils Integration of CPTu and SCPTu data for soil strength and filtration coefficient estimation Comparative studies of static (CPTu) and dynamic (DPH) testing methods Application of probabilistic and kinematic approaches to mining waste dumps and slope stability Case studies on Polish mining infrastructure like the Żelazny Most tailings facility Labs & Teams: Affiliated with the Department of Mining, contributing to geotechnical research and Eurocode 7 compliance studies in Polish mining contexts.
Venkat Anantharam is a Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley . His research spans Information Theory , Network Security , Coding Theory , and Stochastic Processes , with a focus on theoretical foundations and applications in communication systems, game theory, and data compression. He has supervised numerous PhD and Master’s students , including Soham Phade, Payam Delgosha, and Sudeep Kamath, and hosted postdoctoral fellows such as Lei Yu and Charles Bordenave. His recent publications address advanced topics like hypercontractivity in Boolean functions, universal compression of graphical data, and game-theoretic models for security. Articles from 2019-2021 highlight work on entropy power inequalities, error bounds for Markov chains, and distributed compression techniques. Venkat's research often bridges theoretical insights with practical applications, including LDPC decoders, network coding, and risk-sensitive control.
Furkan Kıraç is an Assistant Professor in the Computer Science Department at Özyeğin University, specializing in Computer Vision and Machine Learning . He previously served as a Part-Time Instructor at the same university (2012-2013) and as a Research Assistant at Boğaziçi University (2009-2013). Education: PhD in Computer Engineering, Boğaziçi University (2013) MS in Systems and Control Engineering, Boğaziçi University (2002) BS in Mechanical Engineering, Boğaziçi University (2000) His research focuses on real-time hand pose estimation , deep learning , and computer vision applications in industrial automation. Recent publications highlight his work on pedestrian tracking, spatio-temporal mapping, and image processing pipelines for test oracle automation. Notable achievements include founding two computer vision companies ( Proksima and Fortibase ) and receiving awards at SIU conferences (2004, 2005, 2012). He has contributed to projects funded by TÜBİTAK and the Scientific and Technical Research Council of Turkey. Scientific Awards: 3rd place in best demo award (SIU 2012) Best application paper award (SIU 2012) 3rd degree in Turkish National Science Competition (1994, 1995) Gold/Silver/Bronze medals in National Computer Science Olympiads
Madalina Deaconu is an Inria Research Director and Assistant Scientific Delegate (DSA) at the Inria Center of the University of Lorraine since January 2022. She leads the PASTA joint project team (Processus Aléatoires Spatio-Temporels et leurs Applications) hosted at the Institut Elie Cartan de Lorraine (IECL). Her academic affiliation is with the Faculty of Science and Technology at the University of Lorraine, where she conducts research in probability theory and stochastic modeling. She serves on multiple committees including the Inria Evaluation Commission, the Geophysics Program Committee of the RT CNRS "Earth & Energies", and has held leadership positions including Director of the Charles Hermite Federation (2018-2022). Dr. Deaconu completed her Habilitation à diriger des recherches (HDR) at Université Henri Poincaré – Nancy 1 in 2008 and earned her PhD in Stochastic Processes and Partial Differential Equations from the same institution in 1997. Habilitation à diriger des recherches (HDR), Université Henri Poincaré – Nancy 1, France, 2008 PhD in Stochastic Processes and Partial Differential Equations, Université Henri Poincaré – Nancy 1, France, 1997 Madalina Deaconu's research focuses on stochastic modeling with applications across multiple domains. Her primary areas include data-enriched stochastic modeling, probabilistic approaches to coagulation/fragmentation models, numerical methods for diffusion reach times, and stochastic methods for linear and nonlinear partial differential equations. Her work bridges theoretical probability with practical applications in environmental science, geophysics, and actuarial science. She develops innovative probabilistic simulation methods and analyzes random spatio-temporal processes, with particular emphasis on fragmentation equations, Bessel processes, and Hawkes processes. Her research has significant applications in modeling avalanches, natural disasters, insurance risk assessment, and hydrochemical data analysis. She has established international collaborations with researchers from University of Turin, University of Uruguay, and institutions in Bucharest, as well as national collaborations with University of Burgundy and INRAE Grenoble. Analysis of Dr. Deaconu's recent publications reveals a consistent focus on fragmentation processes and stochastic modeling approaches. Her work spans theoretical developments in probability theory, numerical methods for stochastic processes, and practical applications in environmental science and actuarial mathematics. A notable trend is her increasing focus on Bayesian inference methods and point process applications, particularly for environmental and insurance contexts. Her most recent work demonstrates strong interdisciplinary connections, applying stochastic methods to hydrochemical data analysis, insurance recommendation systems, and natural disaster modeling. The consistent thread throughout her publications is the development and application of sophisticated probabilistic techniques to solve complex real-world problems. Dr. Deaconu has received recognition for her contributions to research: Paper and Poster award at EWEA 2015 (European Wind Energy Association) Plenary speaker at the 14th International Conference on Monte Carlo Methods and Applications (MCM23) While specific student names aren't listed in the provided text, Dr. Deaconu is involved in doctoral training through the IECL and supervises research in stochastic modeling. She coordinates multiple research collaborations including industrial partnerships with Le Foyer Luxembourg and SnT Université du Luxembourg (2018-2022). Her teaching activities include Stochastic Modeling at Master 2 level, Stochastic Differential Equations at École des Mines de Nancy, and Monte Carlo Simulation for Financial Market Engineering. Dr. Deaconu leads the PASTA research team (Processus Aléatoires Spatio-Temporels et leurs Applications), a joint Inria project hosted at IECL. She previously directed the Charles Hermite Federation (2018-2022), which brought together three major research laboratories: CRAN (Automatic Control), IECL (Mathematics), and LORIA (Computer Science). Her work is centered at the Institut Elie Cartan de Lorraine, a mathematics research institute affiliated with the University of Lorraine, where she contributes to both theoretical developments and practical applications of stochastic methods across multiple scientific domains.
Yves Zenou is Professor of Economics and the Richard Snape Chair in Business and Economics at Monash University's Department of Economics in Melbourne, Australia. He maintains significant affiliations with the Research Institute of Industrial Economics (IFN, Stockholm), the Center for Economic Policy Research (CEPR, London), the Institute for the Study of Labor (IZA, Bonn), and the Rockwool Foundation Berlin Institute for the Economy and the Future of Work. Previously, he held professorships at Stockholm University and the University of Southampton, and served as a Visiting Professor at UC Berkeley, the European University Institute, and Tel Aviv University. Professor Zenou's research program centers on network economics, urban and spatial economics, social interactions, and their applications to labor markets, development, and political economy. His work specifically investigates segregation and discrimination of ethnic minorities, criminality, education, and social dynamics through network theory frameworks. With over 120 publications in top-tier journals including Econometrica, Review of Economic Studies, Journal of Political Economy, and American Economic Review, his scholarship has significantly advanced the understanding of how social networks shape economic outcomes and policy effectiveness. Fellow of the Econometric Society Foreign Member of the Royal Swedish Academy of Sciences SAET Economic Theory Fellow Fellow of the Spatial Econometrics Association Fellow of the Academy of the Social Sciences in Australia Fellow of the Regional Science Association International 2018 Dean's Award for Excellence in Research at Monash University Professor Zenou currently serves as an Advisory Editor at Games and Economic Behavior and Associate Editor at The Economic Journal, Regional Science and Urban Economics, Scandinavian Journal of Economics, IZA Journal of Migration, and Annals of Economics and Statistics. He previously served as Editor of Regional Science and Urban Economics (2007-2017) and Associate Editor at the Journal of European Economic Association (2012-2017), Journal of Urban Economics (2004-2018), and Journal of Public Economic Theory (2010-2020). He leads an active Australian Research Council Discovery Project on 'New Methods in Network Economics to Study Environment-Friendly Behaviours' (2024-2026) and is organizing a Summer School on Networks featuring Matt O. Jackson and Sanjeev Goyal for September 2025. Professor Zenou maintains an extensive international research network across Europe, North America, and Asia, with recent collaborations focused on network-based approaches to understanding economic behavior, social dynamics, and policy interventions. His current research portfolio demonstrates strong alignment with UN Sustainable Development Goals related to reducing inequalities and building sustainable communities through evidence-based policy design.
Martin John Sliwinski is a Professor in Human Development and Family Studies at Penn State University, with affiliations to the Clinical and Translational Science Institute (CTSI). His research focuses on cognitive aging, stressor effects on cognitive performance, and mobile assessment methodologies. Key Research Areas: Cognitive Aging and Training Ecological Momentary Assessment Stressor-Cognition Interactions Physical Activity and Cognitive Health Racial Disparities in Cognitive Functioning Recent research output emphasizes mobile cognitive assessment tools (2025: 17 papers), with studies on just-in-time interventions for stress reduction, loneliness effects on cognition, and physical activity benefits across diverse populations.
Oliver Mason is a Professor at Maynooth University's Faculty of Science & Engineering , specializing in Mathematics and Statistics . His academic career includes significant contributions to systems theory, matrix analysis, and data privacy. PhD in Lyapunov Stability Theory (2004, Maynooth University) Prior work in satellite communications and Institute of Technology sector Research Interests : Systems and Control Theory for switched systems with time-delay and uncertainty Matrix Theory including D-stability and diagonal stability Mathematics of Data Privacy with focus on differential privacy Max-Algebra applications in asymptotic behavior analysis Wave Energy Converters (WECs) performance optimization Recent Publications show expertise across Ecological Modeling (2023), Control Theory (2022-2018), Linear Algebra (2018-2015), and Data Privacy (2020-2016). Teaching includes modules like Numerical Analysis, Mathematical Biology, and Computational Tools for Research. Professional Roles : Organizer of Hamilton Institute Workshops, TPC member for multiple international conferences.
Marie Hasselberg is a Professor of Public Health Epidemiology and Head of the Department of Global Public Health at Karolinska Institutet, a position she has held since January 2018 with a recent extension of her leadership role until at least 2028. She is affiliated with the Injuries Social Aetiology and Consequences (ISAC) research group led by Lucie Laflamme, focusing on injury epidemiology and prevention from a global perspective. Her educational background includes a Professorship in Public Health Epidemiology from Karolinska Institutet (2019), an Associate Professorship in Epidemiology (2008), a Medicine Doctor of Social Medicine from the Department of Public Health, Karolinska Institutet (2004), and a Bachelor of Science in Sociology from Stockholm University (1985). Professor Hasselberg's primary research area is injury epidemiology and prevention with a special focus on road traffic injuries and burns. Her work is interdisciplinary, combining epidemiological, public health, and social science approaches. She leads several significant research projects including studies on quality of life after road traffic injuries, road traffic injury prevention and care in Tanzania, mHealth applications for burns diagnostics and care in South Africa and Tanzania, and community mobilization packages to prevent childhood injuries. Her research spans both high-income settings like Sweden and low-resource contexts in Africa, demonstrating a strong commitment to global health equity. Analysis of her recent publication record reveals consistent focus on road traffic safety in low- and middle-income countries, particularly Tanzania, with growing emphasis on mHealth applications for burn care and traffic injury management. Her work increasingly integrates quality of life assessments with traditional injury epidemiology, examining how injuries impact long-term health outcomes across different demographic groups. The geographic scope of her research demonstrates strong international collaboration, particularly between Sweden and African nations. While specific scientific awards are not mentioned in the provided information, her leadership position as Head of Department for an extended period and her prolific publication record in high-impact journals suggest significant recognition within her field. Her work appears to attract substantial research funding given the scope and international nature of her projects. Professor Hasselberg actively supervises research and collaborates with numerous colleagues across institutions, as evidenced by her extensive co-authorship network. Her departmental leadership role suggests involvement in securing institutional funding and strategic planning for global public health research. She is particularly engaged in building research capacity in low-resource settings through her work in Tanzania and South Africa. She is deeply involved with the Injuries Social Aetiology and Consequences (ISAC) research group, which focuses on understanding the social determinants of injuries and developing evidence-based prevention strategies. Her work often involves interdisciplinary teams combining expertise in epidemiology, social sciences, clinical medicine, and technology development, particularly for her mHealth projects in burn care and traffic injury management.
Dr. Ian A Wright is an Associate Professor in the Department of Economics at the Miami Herbert Business School, University of Miami. His research focuses on the intersection of public health, mental health, and econometric modeling, with a specific emphasis on Black women living with HIV, climate change adaptation, and structural discrimination analysis. Research Interests: Intersectional discrimination, HIV medication adherence, climate mobilities, resilience factors, and stochastic frontier models. Recent Publications: Explore interventions for improving PrEP uptake, mental health outcomes for Black women with HIV, and climate-driven migration dynamics in South Florida. Methodological Expertise: Structural equation modeling, spatial econometrics, longitudinal cohort studies, and randomized control trials. Dr. Wright collaborates across disciplines, integrating psychology, public health, and climate science to address systemic inequities. His work highlights the impact of neighborhood environments on HIV outcomes and the role of art-science partnerships in enhancing societal resilience to global crises.
