جست‌وجوی استاد و پژوهشگر

Joseph A. Schwartzمشاهده پروفایل

دانشیار

• Biosocial Criminology
• Life-course/Developmental Criminology
• Traumatic Brain Injury
• +۴ مورد دیگر

Joseph A. Schwartz is an Associate Professor at Florida State University's College of Criminology & Criminal Justice, where he also co-directs the Biosocial Criminology Research & Policy Institute. He holds a Ph.D. (2014) and dual master's degrees in Criminal Justice from Florida State University and California State University, San Bernardino. His research focuses on biosocial mechanisms underlying criminal behavior, trauma, and health outcomes. He has secured over $4.5 million in grants, including NIH-funded studies on correctional officer stress and brain injury impacts. Education: Ph.D. 2014, Florida State University: Criminology and Criminal Justice M.A. 2009, California State University, San Bernardino: Criminal Justice B.A. 2007, California State University, San Bernardino: Criminal Justice His research spans biosocial criminology, trauma's effects on criminal persistence, and correctional officer mental health. Key findings include links between traumatic brain injury and recidivism, and stress responses in correctional environments. He has published over 100 peer-reviewed articles in top journals like Justice Quarterly and Journal of Quantitative Criminology . Dr. Schwartz’s work bridges biological and social factors, such as genetic influences on delinquency and the role of self-control. His grants include NIH studies on stress interventions for correctional staff and neurobiological impacts of prison conditions. He has received awards like the 2023 Outstanding Contribution Award from the American Society of Criminology. He teaches courses on criminological theory, biosocial mechanisms, and statistical analysis. His mentorship includes over 20 graduate students and postdoctoral researchers. He serves on editorial boards for Criminology and Journal of Criminal Justice , and chairs the American Society of Criminology’s Biopsychosocial Division.

Ali Nazemiمشاهده پروفایل

دانشیار

• Hydrology
• Water Security
• Climate Change
• +۳ مورد دیگر

Dr. Ali Nazemi is an Associate Professor in the Department of Building, Civil, and Environmental Engineering at Concordia University, where he joined in 2015 as a Strategic Hire in Water Resources. He holds adjunct appointments at the University of Saskatchewan's School of Environment and Sustainability and is an Associate Member of the Global Institute for Water Security. His foundational education includes a PhD from the University of Birmingham (UK), an MSc from Ferdowsi University of Mashhad (Iran), and a BSc from KNT University of Technology (Iran). Dr. Nazemi's research advances methodologies for water security challenges under climate change, focusing on: Hydrological modeling and algorithm development Climate change vulnerability assessments Coupled human-water systems Hydroclimatic data diagnostics His recent publications predominantly explore climate model integration, uncertainty quantification in water systems, and hybrid modeling approaches, with consistent themes of climate adaptation and risk management across Canadian and international contexts. He has been recognized with several awards, including: Dorothy Hodgkin Postgraduate Award (UK government, 2005–2009) Best Presentation Award at IEEE World Congress on Computational Intelligence (2006) Post Graduate Teaching Award (University of Birmingham, 2004–2007) Dr. Nazemi actively supervises graduate students through his Water Security and Climate Change (WSCC) lab, with projects on climate downscaling, vulnerability assessment tools, and coupled human-water systems. He leads research collaborations with the Saskatchewan Water Security Agency, NSERC's Changing Cold Region Network, and the Global Water and Energy Cycle Experiment.

Douglas Nychkaمشاهده پروفایل

استاد

• Spatial Statistics
• Nonparametric Regression
• Computational Statistics
• +۵ مورد دیگر

Douglas Nychka is a Professor in the Department of Applied Mathematics and Statistics at Colorado School of Mines since 2018. He holds an emeritus position at the National Center for Atmospheric Research (NCAR), where he previously directed the Institute for Mathematics Applied to Geosciences (IMAGe) from 2004 to 2017. Nychka earned his PhD in Statistics from the University of Wisconsin-Madison and a BA in Mathematics (with Physics emphasis) from Duke University. His research focuses on spatial statistics, nonparametric regression, and computational methods for large datasets, particularly applied to environmental and geophysical problems. He has developed influential R packages like fields and LatticeKrig , which are widely used for spatial data analysis. Nychka received prestigious awards including the Jerry Sacks Award for Multidisciplinary Research (2004) and recognition as a Fellow of both the American Statistical Association and the Institute of Mathematical Statistics. His work bridges statistical theory, computational innovation, and real-world applications in climate science and renewable energy. His academic career includes 14 years as a faculty member at North Carolina State University and roles at the National Institute of Statistical Sciences. Nychka's research emphasizes spatial statistics for climate data, statistical downscaling, and uncertainty quantification, with contributions to solar radiation modeling and extreme event analysis. He actively engages in interdisciplinary projects, collaborating with experts in climatology, environmental science, and data science. Professional service includes roles on committees for the National Research Council and leadership in statistical societies. His teaching focuses on modernizing curricula to integrate data science with applied statistics. Nychka’s work is characterized by a commitment to open-source software and reproducible research, exemplified by his R package contributions.

Paul Cohenمشاهده پروفایل

استاد

• Artificial Intelligence
• Data Analysis
• Education Informatics
• +۴ مورد دیگر

Paul Cohen is a Professor of Computer Science at the University of Pittsburgh's School of Computing and Information (SCI), where he also directs the Modeling and Managing Complicated Systems Institute (MOMACS). Previously, he served as the founding Dean of SCI from 2017 to 2020. Before joining Pitt, he was a Program Manager at DARPA (2013–2017), leading initiatives like Big Mechanism and Communicating with Computers. Earlier roles include founding director of the University of Arizona’s School of Information: Science, Technology and Arts (SISTA), and professor at the University of Southern California’s Information Sciences Institute and the University of Massachusetts. Education: PhD in Computer Science and Psychology (Stanford University), MS in Psychology (UCLA), BS in Psychology (UC San Diego). Research Interests: Focuses on artificial intelligence, machine learning, natural language processing, and modeling complex systems like cell signaling pathways and socio-environmental interactions. His work emphasizes explainable AI, human-computer communication, and interdisciplinary problem-solving. Key Contributions: Authored Empirical Methods for Artificial Intelligence and over 200 peer-reviewed articles. His research spans robotics, education technology (e.g., the AnimalWatch tutoring system), and collaborative analysis tools like COLAB. He has won a Telly Award for his video on systemic challenges and a Best Paper award for spatial language learning frameworks. Awards & Recognition: Elected Fellow of the AAAI, recipient of the Telly Award, and winner of the Best Paper Award at the IEEE Conference on Development and Learning. Leadership & Outreach: Advocates for polymathy in education to address global challenges. His work includes developing curricula for complex systems thinking and promoting diversity in STEM through initiatives like AnimalWatch.

Ajay Pillarisettiمشاهده پروفایل

استادیار

• Household Energy Use
• Air Pollution Exposure
• Human Health Impacts
• +۵ مورد دیگر

Ajay Pillarisetti is an Assistant Professor at the University of California, Berkeley's School of Public Health, Department of Environmental Health Sciences. His research focuses on the interplay between household energy use, air pollution exposure, health outcomes, and climate change in low- and middle-income countries. A graduate of UC Berkeley (PhD) and Emory University (MPH, BS), he has led global projects in India, Mongolia, Nepal, Guatemala, Peru, and Rwanda. PhD – Environmental Health Sciences, UC Berkeley MPH – Global Environmental Health, Emory University BS – Biology, Emory College His work employs low-cost air quality sensors, longitudinal surveys, and randomized controlled trials like the HAPIN study to assess health impacts of clean fuel interventions. Key subfields include exposure assessment, implementation science, pollution's metabolic effects, and policy-driven energy transitions. He collaborates with teams across four continents and has published extensively on household air pollution's multi-scale health burdens. Recent articles (2023–2025) highlight trends in quantifying PM2.5's health effects, optimizing sensor networks, and evaluating LPG interventions for maternal/child health. His studies span Guatemala's RESPIRE cohort, Rwanda's HAPIN trial, and India's community monitoring systems, addressing gaps in exposure-response modeling, biomarker analysis, and policy advocacy.

Antonio Peyracheمشاهده پروفایل

دانشیار

• Applied Economics
• Econometrics
• Productivity Analysis
• +۳ مورد دیگر

Associate Professor Antonio Peyrache is a Deputy Head of School at the School of Economics, University of Queensland, within the Faculty of Business, Economics and Law. His research focuses on applied economics, econometrics, and productivity/efficiency analysis with particular emphasis on production systems, public sector efficiency, and systemic risk modeling. He leads the Centre for Efficiency and Productivity Analysis (CEPA), driving advancements in efficiency measurement methodologies. Key research interests include judicial system efficiency, banking systemic risk, and multilevel production networks. Recent work explores homothetic production technologies and optimal organizational structures for public institutions. Featured projects include analyzing productivity in Australian horticulture and European judicial systems. His expertise spans both theoretical contributions (e.g., decomposition frameworks) and applied policy analysis (e.g., healthcare delivery efficiency). Publications span journals like European Journal of Operational Research and Omega, with a focus on operational research techniques and their policy applications. He has directed projects funded by the Asian Productivity Organization and collaborated on EU-KLEMS growth accounting initiatives. Professional roles include editorial contributions and leadership in academic productivity analysis.

Naratip Santitissadeekornمشاهده پروفایل

مدرس ارشد

• Data Assimilation
• Inverse Problems
• Geophysical Fluid Dynamics
• +۵ مورد دیگر

Naratip Santitissadeekorn is a Senior Lecturer in Data Assimilation at the School of Mathematics and Physics, University of Surrey, where he is affiliated with the Mathematics at the Interface Group. His work bridges mathematics, data science, and real-world applications in urban planning, crime analysis, and geophysical fluid dynamics. Dr. Santitissadeekorn received his PhD from Clarkson University in 2008, with a dissertation titled "Transport Analysis and Motion Estimation of Dynamical Systems of Time-Series data." His doctoral research was supervised by Professor Erik Bollt. Following his PhD, he completed two significant postdoctoral positions: from 2008-2011 at the University of New South Wales, Sydney, Australia, working with Professor Gary Froyland on numerical techniques for finite-time Lagrangian coherent set identification, with applications to delimiting the polar vortex and Agulhas rings; and from 2011-2014 at the University of North Carolina-Chapel Hill, working with Professor Chris Jones on data assimilation projects. Dr. Santitissadeekorn's research focuses on inverse problems and data assimilation in geophysical fluid dynamics, the applications of Lagrangian Coherent Structures (LCS), and computational ergodic theory. His work combines theoretical mathematics with practical applications, particularly in urban growth modeling and crime analysis. He has developed innovative methods for identifying coherent structures in fluid flows, estimating transition probabilities from spatiotemporal data, and creating data-driven frameworks for urban expansion scenarios. His research demonstrates how mathematical techniques can be applied to solve real-world problems in environmental science, urban planning, and public safety. An analysis of Dr. Santitissadeekorn's recent publications (2020-2023) reveals a strong focus on urban expansion modeling and network analysis. His work on urban growth has evolved from basic cellular automata models to sophisticated frameworks that manage uncertainty through parameter clustering and growth mode identification. His research on Hawkes processes has advanced ensemble-based filtering techniques for analyzing count data in large networks. These publications demonstrate a consistent pattern of applying mathematical rigor to complex spatiotemporal phenomena, with increasing emphasis on data-driven approaches and practical applications. Dr. Santitissadeekorn has made significant contributions to data assimilation methods, particularly through the development of the extended Poisson-Kalman filter (ExPKF) for urban crime modeling. His teaching includes courses in Algebra and Bayesian Statistics, reflecting his expertise in both theoretical and applied mathematics. While specific awards are not mentioned in the available information, his extensive publication record in high-impact journals demonstrates recognition within his field. Dr. Santitissadeekorn's research has practical implications for urban planning and law enforcement. His work on urban expansion models helps planners understand different growth trajectories, while his crime modeling research contributes to improved police patrolling strategies. His interdisciplinary approach, combining mathematics, computer science, and domain-specific knowledge, positions him at the forefront of applying data science to societal challenges.

Sjoerd Beugelsdijkمشاهده پروفایل

استاد

• International Business
• Globalization
• Cultural Differences
• +۳ مورد دیگر

Prof. Dr. Sjoerd Beugelsdijk is a Professor of International Business at the Faculty of Economics and Business, University of Groningen. He also serves as Research Director and holds a visiting professorship at KU Leuven. His expertise spans globalization, cultural differences, and national identity, with a focus on their economic implications. He earned his PhD from Tilburg University in 2003, focusing on cultural diversity and regional development. Research Interests: Beugelsdijk’s work explores cultural diversity’s impact on economic globalization, firm internationalization, and national identity. He has published over 70 refereed articles in top journals like the Journal of International Business Studies and Journal of Economic Geography. His recent projects include a government advisory report on Dutch national identity (SCP 2019) and the JIBS Silver Medal (2019) for contributions to international business research. Education: PhD (Tilburg University, 2003), MSc (Tilburg University, 1999) Grants: Over €1 million in funding from NWO (Rubicon, Veni, Vidi) and others Editorial Roles: Editor of Journal of International Business Studies (2016–present) Advising: Supervised 11 PhD students and served on numerous doctoral committees Key Achievements: Awarded the JIBS Silver Medal (2019), top teacher awards (2016–2018), and recognition for best papers in Academy of Management and Academy of International Business conferences. His research bridges economic geography, management, and sociology, addressing global value chains, cultural distance, and institutional hazards. Labs/Teams: Leads the Global Economics & Management research group at Groningen, collaborating internationally with scholars from Copenhagen Business School, Bocconi University, and others.

Anastasia Ivanovaمشاهده پروفایل

استاد

• Adaptive Designs
• Dose-finding Methods
• Enrichment Designs
• +۳ مورد دیگر

Anastasia Ivanova, PhD, is a Professor in the Department of Biostatistics at the University of North Carolina's Gillings School of Global Public Health. She specializes in clinical trial design, with over 20 years of experience in adaptive designs, dose-finding methods, and enrichment strategies. Her leadership roles include Principal Investigator of the NHLBI-funded PrecISE Network Data Center and co-PI of the BACPAC DAC. She holds a PhD in Statistics from the University of Maryland (1998) and a PhD in Mathematics from St. Petersburg State University (1998). Research focuses on innovative trial methodologies including adaptive trials for severe asthma, back pain consortia, and CAR-T cell therapies. Key publications span statistical methods in Biometrics , Statistics in Medicine , and Statistical Methods in Medical Research . Awards include the American Statistical Association Fellowship (2020) and the Stanley S. Schor Scholarship (2006-2007). Education: PhDs in Statistics (UNC, 1998) and Mathematics (St. Petersburg, 1992); MS in Mathematics (1988) Service: Associate Editor for Statistics in Medicine since 2006; North Carolina ASA leadership roles Key Projects: PrecISE Network (adaptive asthma trials), BACPAC (back pain research), CAR-T cell clinical trials Her work integrates statistical rigor with translational medicine, advancing precision interventions through multi-stage and biomarker-stratified designs.

• Financial Economics
• Behavioral Finance
• Monetary Policy
• +۳ مورد دیگر

Thomas Renault is a researcher at the Centre d'Economie de la Sorbonne (CES), affiliated with Université Paris I Panthéon-Sorbonne in Paris, France. His scholarly work focuses on financial markets, monetary policy, and the intersection of social media with finance. With multiple publications in high-impact journals like the Journal of Finance, he has established himself as an active contributor to economic research. Dr. Renault's research interests span financial economics, behavioral finance, monetary policy, market microstructure, cryptocurrency markets, and textual analysis in finance. His work often employs innovative methodologies to analyze how information flows through financial markets, particularly examining the impact of social media and central bank communications on market behavior. He has developed novel measures for analyzing ECB communications and investigating investor attention patterns at intraday frequencies. His publication record demonstrates a consistent focus on market efficiency, information dissemination, and the behavioral aspects of financial decision-making. Recent work examines nonstandard errors in financial research, the dynamics of cryptocurrency markets, and methods to combat misinformation on social media platforms. His research frequently involves large-scale data analysis of social media content and high-frequency financial data. Dr. Renault has collaborated with researchers across numerous European institutions, indicating strong international connections within the academic finance community. His work has appeared in top finance journals and working paper series from prestigious institutions including the Bank of England and the Federal Reserve.

• Industrial Ecology
• Material Flow Analysis
• Urban Metabolism
• +۵ مورد دیگر

Daniel Beat Müller serves as Professor at the Industrial Ecology Programme within the Department of Energy and Process Engineering at the Norwegian University of Science and Technology (NTNU), Trondheim. His office is located at Realfagbygget Gløshaugen (E4-120) with contact details daniel.mueller@ntnu.no and +4791897755. His research centers on analyzing human needs in relation to material/energy flows and environmental impacts, with two primary focus areas: (i) urban evolution and associated material flows for managing building/infrastructure stocks, and (ii) national/global metal cycles to identify supply constraint reduction strategies. His methodology integrates design, modeling, and decision-making through transdisciplinary stakeholder engagement. Müller teaches Material Flow Analysis and Systems Analysis of the Built Environment for Industrial Ecology and Civil Engineering Master's students. His research outputs demonstrate strong trends in circular cities, critical mineral management, and urban metabolism, with recent publications emphasizing building information modeling, electric vehicle battery systems, and phosphorus cycling. His work consistently addresses resource criticality within energy transition contexts. As (ad interim) chair of the International Society of Industrial Ecology’s MFA-ConAccount section, he contributes to methodological standardization. He previously served on the U.S. National Research Council’s Committee on Defense Stockpiles and remains active in Switzerland's National Research Programme 65 "New Urban Quality". Müller supervises numerous Master's and doctoral students, with thesis topics spanning lithium-ion battery recycling, building stock dynamics, and urban resource flows. His projects frequently involve industry collaboration for practical implementation of material stewardship strategies.

Ben Ostمشاهده پروفایل

دانشیار

• Economics of Education
• Labor Economics
• Applied Econometrics
• +۳ مورد دیگر

Ben Ost is an Associate Professor of Economics at the University of Illinois at Chicago (UIC), affiliated with the Department of Economics within the College of Liberal Arts and Sciences. He holds a PhD from Cornell University (2011) and a BA from Grinnell College (2006). His research focuses on labor economics and the economics of education, with specific interests in teacher quality, higher education outcomes, and applied econometric methodologies. Educationally, Ost has contributed to understanding how academic policies like probation systems and honors programs affect student performance and earnings. He has examined generational differences in teacher effectiveness, employer connections in college networks, and omitted variable bias in statistical models. His work frequently employs regression discontinuity designs and value-added modeling to assess educational interventions and labor market dynamics. Key Research Themes: Teacher development, college access policies, human capital formation, and peer effects. Grant Funding: Principal Investigator for $47,000 Spencer Foundation grant and $3,894 OSSR grant. Teaching: Award-winning instructor in graduate microeconometrics, labor economics, and education economics courses. Recognized with the UIC TRP Award (2011-2016), Ost has advised numerous graduate and undergraduate students, serving as committee chair or member for over 20 advisees. His professional service includes peer-review roles for top journals like the Quarterly Journal of Economics and American Economic Review, alongside NSF grant reviewing.

Valen Johnsonمشاهده پروفایل

استاد

• Bayesian Statistics
• Biostatistics
• Medical Imaging
• +۷ مورد دیگر

Valen E. Johnson is a University Distinguished Professor and Dean Emeritus of the College of Science at Texas A&M University, where he has been a faculty member since 2012. He previously held professorships at the University of Texas M. D. Anderson Cancer Center (2004–2012), the University of Michigan (2002–2004), and Duke University (1989–2001). He also served as a Technical Staff Member at Los Alamos National Laboratory (2001–2002). Johnson earned his Ph.D. in Statistics from the University of Chicago (1989), M.A. in Applied Mathematics from the University of Texas at Austin (1985), and B.S. in Mathematics from Rensselaer Polytechnic Institute (1981). His research focuses on Bayesian methodology, including hypothesis testing, variable selection in high-dimensional spaces, latent variable models, and applications in medical imaging, clinical trials, and educational assessment. He has contributed to the development of non-local prior densities and Bayesian diagnostics for MCMC convergence. His work bridges Bayesian and classical statistical approaches, emphasizing reproducibility and rigorous evidence assessment in scientific research. Johnson has held editorial roles, including Co-Editor of Bayesian Analysis (2010–2014) and Associate Editor of the Journal of the American Statistical Association (2011–present). He is a Fellow of the American Statistical Association and the Royal Statistical Society and has served on the Board of Directors of the International Society for Bayesian Analysis. His advocacy for revised statistical significance standards has sparked major debates in scientific methodology. Johnson has supervised numerous doctoral students, including those whose theses won prestigious awards like the Savage Award. He has collaborated on grants addressing medical imaging, system reliability, and cancer symptom management, reflecting his interdisciplinary impact in biostatistics and public health.

Konstadinos Gouliasمشاهده پروفایل

استاد

• Transportation Planning
• GIScience
• Activity-Based Modeling
• +۵ مورد دیگر

Konstadinos (Kostas) Goulias is a Professor of Transportation in the Department of Geography at the University of California, Santa Barbara (UCSB), where he has served since 2004. Previously, he held academic positions at Penn State University from 1991 to 2004, including roles as Associate and Full Professor of Transportation Engineering. His research focuses on transportation systems planning, travel behavior dynamics, activity-based modeling, GIScience, and spatial analysis of transportation data. **Education**: Ph.D. in Civil Engineering (Transportation), University of California, Davis, 1991 M.S. in Civil Engineering, University of Michigan, Ann Arbor, 1987 Laurea Magistrale in Engineering, University of Calabria, Italy, 1986 **Research Interests**: Transportation demand modeling and microsimulation Activity-travel behavior analysis Spatiotemporal analysis of mobility using big data GIScience applications in transportation Policy implications of emerging technologies (e.g., autonomous vehicles) **Key Contributions**: Co-founder and Editor-in-Chief of Transportation Letters Principal Investigator of $6.5M in research projects Authored/edited three books and over 350 peer-reviewed publications Led the development of the SimAGENT microsimulation framework Directed the GeoTrans Laboratory at UCSB since 2007 **Awards**: Pyke Johnson Award (2021, 2016) Best Paper Award (2021) Chair of TRB committees on traveler behavior and activity-based approaches **Grants/Students**: Supervised multiple graduate students in transportation and geography Managed projects with sponsors including USDOT, state agencies, and international organizations **Labs/Teams**: GeoTrans Laboratory: Focused on smart city planning and transportation innovation Collaborations with institutions globally, including Australia, Europe, and Qatar

Liu Yongمشاهده پروفایل

استادیار

• Applied Econometrics
• Bayesian Econometrics
• Machine Learning
• +۴ مورد دیگر

Yong Liu is an Assistant Professor in the Department of Agricultural Economics at Texas A&M University. His research focuses on applied econometrics, Bayesian methodologies, machine learning, and agricultural policy with emphasis on crop insurance and risk management. He holds a Ph.D. in Agricultural Economics from the University of Guelph (2016), preceded by dual M.S. degrees in Economics and Agricultural Economics from Yunnan University and the University of Guelph, respectively, and a B.S. in Chemistry from Yunnan University. His research explores econometric techniques for agricultural policy evaluation, including causal inference methods and behavioral economics applications. Recent work analyzes climate change impacts on crop yields, the efficacy of insurance subsidies, and the integration of weather data into risk assessment models. Liu’s publications demonstrate a strong focus on improving crop insurance mechanisms through statistical innovations like Bayesian model averaging and spatial-temporal forecasting. His academic contributions span theoretical advancements in density estimation and practical applications in agricultural finance. While no specific awards or grants are listed, his active publication record indicates sustained research engagement in agricultural economics and quantitative methods.