Dr. Raquel Farmer-Hinton is a Professor and Director of the Alternative Education Certificate Program at the University of Wisconsin-Milwaukee (UWM) in the Department of Educational Policy and Community Studies. Her work focuses on urban education equity, racialized policies, and systemic barriers faced by Black and Brown students. She employs both qualitative and quantitative methods to examine college access, social capital, and policy impacts. Education: She holds a BS in Psychology and MS/PhD in Educational Policy Studies from the University of Illinois at Urbana-Champaign. Prior roles include postdoctoral fellowships at the University of Chicago and Educational Testing Service (ETS). Research Interests: Dr. Farmer-Hinton’s scholarship challenges entrenched educational inequities through frameworks like Yosso’s Community Cultural Wealth. Key areas include college-going cultures in urban schools, promise scholarship efficacy, and counter-narratives of success in marginalized communities. Her work often critiques historical and contemporary policies that perpetuate stratification. Grants & Awards: She has secured funding from AERA, ETS, UWM, and the UW Institute on Race and Ethnicity. Her grants focus on policy evaluation and community-engaged research. Service: She coordinated UWM’s Alternative Education Program, served on the UChicago Consortium Steering Committee (including Co-Chair), and joined the UW OPID Advisory Council (2025-2027). Teaching spans graduate/undergraduate courses in education sociology, research methods, and cultural foundations. Labs/Teams: Her work is collaborative, often involving interdisciplinary teams like the East St. Louis Scholars collective (Patton, Rivers, Lewis) producing critical re-examinations of educational inequity literature.
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Shachar Lovettمشاهده پروفایل
پژوهشگر
Shachar Lovett is a researcher at the University of California, San Diego (UCSD), specializing in computational complexity, combinatorics, and theoretical computer science. His work spans advanced topics in communication complexity, pseudorandomness, and coding theory, often intersecting with problems in additive combinatorics and Boolean function analysis. Education : Not explicitly detailed in the provided text. Research Interests : Lovett's research focuses on computational complexity, particularly in communication and circuit complexity, combinatorial structures like sunflowers and high-dimensional expanders, and the analysis of Boolean functions through Fourier and Gowers norms. His work explores the limits of deterministic vs. randomized computation, the structure of codes over finite fields, and the interplay between additive combinatorics and theoretical computer science. Article Trends : His recent publications address exact vs. approximate representations of Boolean functions, quasipolynomial bounds in combinatorics, hypercontractivity in high-dimensional expanders, and advancements in the log-rank conjecture. These works emphasize connections between computational complexity, discrete mathematics, and pseudorandomness, often yielding improved bounds or novel frameworks for understanding Boolean function behavior. Scientific Awards : No specific awards or honors were mentioned in the provided text. Advising and Collaborations : Lovett collaborates extensively with researchers like Hamed Hatami, Kaave Hosseini, and Jiapeng Zhang, contributing to fields such as non-malleable codes, matrix multiplication algorithms, and communication complexity. No formal student advising details were provided.
Dr. Ali Çarkoğlu is Professor of Political Science at Koc University in Istanbul, Turkey, specializing in comparative politics, electoral systems, and political communication. Holding a PhD from SUNY Binghamton (1994), he has previously taught at Boğaziçi and Sabancı Universities. Doctoral Degree: State University of New York-Binghamton (1994) Master's Degree: Rutgers University (1989) Bachelor's Degree: Boğaziçi University (1986) His research focuses on political polarization in multiparty systems, misinformation dynamics in authoritarian regimes, and the emotional mobilization effects of populist rhetoric. Recent studies examine partisan bias in pandemic-era conspiracy theories and electoral alliance challenges in Turkey's 2023 presidential election. Notable scientific achievements include the 2013 Wapor Best Article Award. He has developed innovative network-based approaches for measuring party polarization and conducted experimental analyses of voting advice applications' impact in constrained media environments.
Zhang Yi-Cheng is a Full Professor of Theoretical Physics at the University of Fribourg, Switzerland, since 1992. His academic career includes visiting professorships at Nordita (Denmark) and INFN (Italy), and postdoctoral research at Brookhaven National Lab (USA). He specializes in interdisciplinary fields such as Econophysics , Statistical physics , and Complex network sciences , focusing on applications in financial markets, social systems, and global trade networks. His research explores topics like market dynamics, network structures, and algorithmic ranking systems. Notable awards include the 2011 Honorary Director of the Complexity Sciences Research Center and recognition as a 2011 Chinese '1000 Talents' awardee . His work bridges physics-based methodologies with socio-economic systems, addressing challenges in information-driven economies and networked societies. Zhang has contributed to influential studies on ranking algorithms, percolation theory in networks, and the interplay between economic complexity and trade. His interdisciplinary approach has led to advancements in understanding systemic risks, market inefficiencies, and the role of information in shaping global economic interactions.
Anthony Clarkمشاهده پروفایل
استادیار
Anthony Clark is an Assistant Professor of Computer Science at Pomona College, where he has been teaching since 2020. Previously, he served as an Assistant Professor at Missouri State University from 2016 to 2020. He directs the ARCS (Autonomous Robotics and Complex Systems) Lab, which focuses on improving the robustness and adaptability of autonomous robots, particularly small-scale systems that can navigate unpredictable terrain and adapt to potential damage. Clark earned his Ph.D. in Computer Science from Michigan State University in 2016, where he worked under Dr. Philip K. McKinley, and his B.S. in Computer Engineering from Kansas State University, graduating magna cum laude. His research centers on making autonomous robots more robust and adaptive through optimization algorithms and multimodal systems. He specializes in evolutionary robotics, computer vision, neural networks, and simulation methods for developing control systems that leverage multiple locomotion mechanisms. His recent work demonstrates strong trends across several domains: developing hybrid locomotion systems (wheel/leg transformations), applying deep learning to terrain classification and pathfinding, using simulation environments for training, and exploring pretraining techniques for evolutionary robotics. His research shows a consistent focus on bridging simulation and real-world applications while addressing challenges in robot adaptability and robustness. Faculty Excellence in Teaching, Missouri State University (2018) Best Paper Award, Workshop on Evolutionary and Reinforcement Learning (2013) Best Paper Award, ALIFE Conference, Behavior and Intelligence Track (2012) Outstanding Reviewer, Elsevier (2018) Master Advisor Certification, Missouri State University (2017) Clark has advised numerous undergraduate and graduate students through the ARCS Lab, with current research involving projects like the Adabot (a robot with multiple locomotion mechanisms) and thermal semantic segmentation for aerial field robots. His teaching portfolio includes courses on data structures, algorithms, neural networks, computer systems, and mobile robotics. He has also served as a Visiting Associate at Caltech's ARC Lab from 2023-2024, working with Dr. Soon-Jo Chung. The ARCS Lab develops simulation environments, optimizes control systems, and fabricates physical robots. Current projects include the Adabot with its geared coaxial shaft mechanism for hybrid locomotion, thermal semantic segmentation using satellite data, and creating dynamic simulation environments with Unreal Engine 5. The lab emphasizes practical applications of theoretical research while training students in both hardware and software aspects of robotics.
Dr Michael Callaghan is a Lecturer in the Department of Management and Marketing at Deakin Business School, Faculty of Business and Law, Deakin University. He is based at the Warrnambool Campus and holds a PhD (by prior publication) from Deakin, recognized as the first such award in the Faculty. His research and teaching focus on business ethics, corporate social responsibility, marketing, and management. Education: PhD, Deakin University Bachelor of Business, University of Southern Queensland Bachelor of Business (Honours), University of Southern Queensland Diploma in Export Management, Australian Institute of Export Diploma in Market Research, Market Research Society of Australia His research interests include corporate ethics, trust in online exchange, advertising, relationship marketing, and consumer behavior. His work has been widely published in journals such as the Journal of World Business and Journal of Business Ethics , with a strong emphasis on cross-cultural and longitudinal studies of corporate codes of ethics. His 15 most recent articles reveal a consistent focus on ethical structures in organizations, particularly across Australia, Canada, Sweden, and the UK. Themes include code quality, implementation, cross-sector comparisons, and ethical engagement over time. His work bridges marketing and ethics, often analyzing how ethical frameworks influence organizational behavior and consumer trust. Scientific Awards and Recognitions: 2019 Management Department Teaching and Learning Award (Inaugural Winner) 2018 Outstanding Reviewer, Emerald Literati Network Outstanding Paper Award, 2016, for work on B2B e-marketing orientation PhD thesis nominated for Emerald/EFMD Outstanding Doctoral Research Awards (2017) He has served as Unit Chair for multiple marketing units and taught over 15 courses across management and marketing. He is a Certified Practising Marketer (CPM), Fellow of the Academy of Marketing Science (FAMS), and Fellow of the Australian Marketing Institute (FAMI). He was involved in a contract research project with Insurance Australia Limited on SME customer behavior. No formal lab or research team is mentioned, but he collaborates frequently with researchers like Wood, Svensson, and Valos.
Ellen Rathje is a Professor and Janet S. Cockrell Centennial Chair in Engineering at the University of Texas at Austin's Department of Civil, Architectural, and Environmental Engineering within the Cockrell School of Engineering. Her expertise spans geotechnical engineering with a focus on earthquake engineering, seismic response of earth structures, and liquefaction evaluation. She leads research initiatives such as DesignSafe cyberinfrastructure and TexNet Seismological Network, advancing geohazard risk assessment and computational modeling. Education: Ph.D. (1997), M.S. (1994), and B.S. (1993) in Civil Engineering from University of California, Berkeley and Cornell University. Research Interests: Dr. Rathje investigates earthquake-induced ground failures, including lateral spreading, liquefaction, and slope instabilities. Her work integrates machine learning, finite element analysis, and geospatial data to enhance predictive models for infrastructure resilience. Recent projects address induced seismicity in energy-producing regions, site amplification in Central and Eastern North America, and tailings dam failure mechanisms. Awards: Recipient of the 2022 Ralph B. Peck Award, 2018 William B. Joyner Lecture Award, and 2016 ASCE Fellow distinction. Her work has advanced open science through DesignSafe's cyberinfrastructure, supporting natural hazards research collaboration. Technical Contributions: Developed hybrid finite-element/material point methods for granular collapse modeling, probabilistic frameworks for regional landslide assessments, and neural network-based site amplification models. Active in post-earthquake reconnaissance through GEER (Geotechnical Extreme Events Reconnaissance) and TexNet operations.
Shahin Kamaliمشاهده پروفایل
دانشیار
Shahin Kamali is an Associate Professor in the Department of Electrical Engineering & Computer Science at York University's Lassonde School of Engineering. Previously, he served as an Assistant Professor at York University (2022-2024) and the University of Manitoba (2017-2022), where he continues to hold an Adjunct Professor position. He completed his Ph.D. in Computer Science at the University of Waterloo in 2014 and was a postdoctoral fellow at MIT's CSAIL lab from 2015-2017. Dr. Kamali received his B.Sc. from the University of Tehran and his M.Sc. from Concordia University, both in Computer Science. He has earned teaching certifications including the Kaufman Teaching Certificate Program from MIT and the Certificate in University Teaching from the University of Waterloo. His research focuses on algorithms' design, analysis, and limitations, with particular emphasis on online problems such as bin packing, paging, list update, and k-Server. His work extends to big-data applications of algorithms in data compression, graph partitioning, resource allocation in the cloud, and algorithmic aspects of blockchain technology. His recent publications (2023-2025) demonstrate a strong focus on learning-augmented algorithms, online computation with predictions, and novel applications in blockchain and graph theory. His research has been supported by multiple NSERC grants since 2010, with recent projects investigating models, applications, and limitations of online algorithms. He has successfully supervised numerous graduate students and serves on various committees related to algorithms conferences and academic governance. University of Waterloo Doctoral Thesis Completion Award (2014) University of Waterloo Mathematics Graduate Experience Award (2008) Dr. Kamali teaches advanced courses in algorithms and data structures and is scheduled to teach Design and Analysis of Algorithms (EECS 3101) in Fall 2025 and Advanced Data Structures (EECS 4101/5101) in Winter 2026. He is actively involved in organizing major conferences, including CCCG and WADS 2025 at York University.
Badi H. Baltagi is a Distinguished Professor of Economics and Senior Research Associate at the Center for Policy Research, Maxwell School of Citizenship and Public Affairs, Syracuse University. He previously served as the George Summey, Jr. Professor of Liberal Arts at Texas A&M University (1993–2005) and has held visiting positions at the University of Arizona and the University of California, San Diego. He currently holds a part-time chair position in Economics at the University of Leicester, United Kingdom. Ph.D. in Economics, University of Pennsylvania, 1979 Baltagi’s research focuses on econometrics, particularly panel data, spatial econometrics, health econometrics, and theoretical econometrics. His work has significantly advanced methodologies in fixed and random effects models, spatial dependence, and network effects in panel data. He is renowned for his authoritative textbooks, including Econometric Analysis of Panel Data and Econometrics , which are standard references in graduate econometrics courses worldwide. His recent publications (2021–2025) demonstrate a strong trend toward integrating spatial and network structures into panel data models, with applications in health, labor, and international trade. He frequently publishes in top journals such as Journal of Econometrics , Econometric Reviews , and Economics Letters , emphasizing robust estimation, specification testing, and dynamic modeling. Kuwait Prize for Economics and Social Sciences (2018) Distinguished Achievement Award in Research, Texas A&M University (2002) Multa and Plura Scripsit Awards, Econometric Theory Distinguished Authors Award, Journal of Applied Econometrics Fellow, Journal of Econometrics Fellow, Econometric Reviews Fellow, International Association for Applied Econometrics Fellow, Spatial Econometrics Association Fellow, Society for Economic Measurement Research Fellow, IZA (since 2002) Research Fellow, CESifo (since 2003) Global Labor Organization (GLO) Fellow Lifetime Fellow, Economic Research Forum (MENA region) Baltagi has held major editorial roles, including co-editor of Economics Letters (2011–present), former editor of Empirical Economics (1999–2018), and replication editor for Journal of Applied Econometrics (2003–2018). He is the series editor for Contributions to Economic Analysis (Emerald Publishing) and Advanced Studies in Theoretical and Applied Econometrics (Springer). He has advised numerous Ph.D. students and collaborates extensively with researchers globally, particularly in spatial and health econometrics. He is actively involved in organizing and presenting at major conferences such as the International Panel Data Conference and the International Association of Applied Econometrics. Baltagi is a founding member and former director of the International Association for Applied Econometrics and serves on the board of directors and advisory boards of the Spatial Econometrics Association and the Journal of Spatial Econometrics , respectively. His leadership in establishing and promoting specialized econometric fields underscores his influence in shaping modern econometric research.
Andrew Török is a Professor in the Department of Mathematics at the University of Houston. His research focuses on dynamical systems, ergodic theory, and their applications to statistical mechanics and probability. He has contributed to studies on random dynamical systems, extreme value theory, and stability properties of hyperbolic flows. Teaching responsibilities include courses like MATH 3364: Introduction to Complex Analysis. His work spans topics such as cohomology of dynamical systems, transitivity of group extensions, and statistical limit theorems for non-uniformly hyperbolic systems. Key publications address Birkhoff sum convergence, stable laws for Gibbs-Markov systems, and transitivity properties of Heisenberg group extensions. Research extends to applications in financial mathematics and market dynamics through studies on stock price fluctuations. Professional activities include organizing the Dynamics Colloquium and participating in interdisciplinary projects like gene network modeling. His address is at PGH Building, University of Houston, with contact via torok@math.uh.edu.
Yan Xiaمشاهده پروفایل
دانشیار
- Statistical Methods for Structural Equation Modeling
- Item Response Theory
- Categorical Data Analysis
- +۳ مورد دیگر
Dr. Yan Xia is an Associate Professor in the Department of Educational Psychology at the University of Illinois at Urbana-Champaign. He holds a Ph.D. in Educational Psychology and Learning Systems from Florida State University and completed a postdoctoral fellowship at Arizona State University's T. Denny Sanford School of Social and Family Dynamics. Key research areas: Statistical methods for structural equation modeling, item response theory, categorical/nonnormal/missing data analysis, and applications in special education, child development, organizational behavior, and sports psychology. Current appointments: Faculty, College of Education, University of Illinois (since 2025). Recent contributions: 2025 Monte Carlo simulation on developmental research generalizability, 2024 work on parallel analysis improvements, and meta-analysis of autism eye-tracking studies. His methodological work critically examines fit indices like RMSEA, CFI, and TLI in ordered categorical data contexts. Collaborations span autism research, educational interventions, and cross-cultural studies. Publications demonstrate expertise in DWLS/ULS estimation, factor retention, and missing data techniques. Scientific awards: Not explicitly mentioned in provided texts. Advising: Accepts new graduate students (2025). No student list provided.
Liya Zhaoمشاهده پروفایل
مدرس ارشد
Dr. Liya Zhao is a Senior Lecturer in the School of Mechanical and Manufacturing Engineering at the University of New South Wales (UNSW Sydney), where she leads the Dynamic Smart Structures and Energy Harvesting Laboratory. She previously held academic positions at the University of Technology Sydney (UTS), first as a Lecturer (2017) and later promoted to Senior Lecturer (2021), before joining UNSW in 2022. Her research is highly interdisciplinary, focusing on smart structures, nonlinear dynamics, and sustainable energy technologies. Education: Ph.D. in Structures & Mechanics, Nanyang Technological University, Singapore (2015) B.Eng. in Civil Engineering, Tongji University, China (2009) Research Interests: Dr. Zhao's work centers on energy harvesting from ambient sources (wind, vibration, human motion, waves), smart materials (piezoelectric, triboelectric), metamaterials, and nonlinear dynamics. She designs adaptive structures for broadband energy harvesting and vibration suppression, with applications in self-powered wireless sensor networks, structural health monitoring, and wearable devices. Her research integrates theoretical modeling, numerical simulation, and experimental validation. Publication Trends: Over the past decade, her research has evolved from fundamental electromechanical modeling toward multifunctional metastructures and real-world deployment. Her recent work emphasizes hybrid energy harvesting, nonlinear tuning for broadband response, and integration with self-powered sensing systems, reflecting a strong trend toward practical, sustainable technologies. Scientific Awards: ARC Discovery Early Career Researcher Award (DECRA), 2021–2024 World's Top 2% Scientists (Stanford University), 2020–2023 Nanyang Engineering Doctoral Scholarship (NEDS), NTU Singapore Grants & Supervision: Dr. Zhao has secured multiple competitive grants, including ARC Discovery Projects and internal university funding, as both sole and chief investigator. She actively supervises research students and welcomes motivated candidates in mechanics, dynamics, and energy systems. Her lab, Dynamic Smart Structures and Energy Harvesting Lab , fosters innovation through experimental and computational research. She also contributes to teaching, including Mechanics of Solids II and Introduction to Aircraft Engineering. Lab & Team: She leads a dynamic research group focused on next-generation smart structures, supported by state-of-the-art facilities at UNSW. Her team develops novel materials and systems for sustainable energy and sensing, aiming to bridge the gap between fundamental science and real-world applications.
- Remote Sensing
- LiDAR
- Forest Structure
- +۷ مورد دیگر
Ruben Valbuena is a Professor at Bangor University, affiliated with the School of Natural Sciences and the Department of Forest Sciences. He is also recognized as an Honorary Professor, reflecting his significant contributions to forest science and remote sensing. His research leverages big data, particularly LiDAR and remote sensing, to analyze ecosystem structure, carbon stocks, and habitat suitability at landscape and community levels. His research interests lie at the intersection of ecology, remote sensing, and forest dynamics. He has pioneered the adaptation of Lorenz curves to quantify forest structural complexity, a methodological innovation recognized with the IUFRO 2019 Outstanding Doctoral Research Award. His work spans tropical and boreal forests, focusing on aboveground biomass estimation, forest disturbance detection, and ecosystem service modeling. He actively integrates airborne and satellite data, including NASA's GEDI mission, to develop scalable ecological models. The recent publications (2017–2023) reflect a consistent focus on LiDAR applications, forest structure, biomass modeling, and ecological theory. Key themes include the fusion of remote sensing technologies, the development of structural complexity indices, and the application of machine learning in forest inventory. His research increasingly addresses global challenges such as carbon monitoring, urban greening, and sustainable forest management. His scientific honors include: International Union of Forest Researchers (IUFRO) Outstanding Doctoral Research Award (2019) Early-Stage Researcher Prize “José L. Labrandero” (2017) Valbuena leads multiple research projects, including the European Forest Information Network (EFINET), AMAZECO (focused on Amazon ecosystem structure), and a KESS II PhD project with Forest Research. He has supervised at least one research student and maintains active collaborations across Europe and the Americas. His work is supported by grants from national and international funding bodies, enabling high-impact research in forest ecology and remote sensing. He is associated with key research initiatives and labs focused on remote sensing and forest ecosystem dynamics, contributing to large-scale projects that integrate field data with satellite and airborne observations.
Fredrik Renardمشاهده پروفایل
پژوهشگر
Fredrik Renard is a Researcher at Stockholm University’s Department of Slavic and Baltic Studies, Finnish, Dutch, and German. He holds a postdoctoral fellowship in German and Comparative Literature with a PhD from Stockholm University and Justus-Liebig-Universität Giessen. His work focuses on historical narratology, genre theory, and modernism in European literature, particularly the novel’s evolution from the 18th to 20th centuries. He co-founded the research group Narratio and is affiliated with Forum Modernism, exploring modernism’s diverse expressions. Renard’s research emphasizes the novel’s role in theorizing modernity, as seen in his dissertation Arbeit am Zufall (2021), which won a Lundberg Foundation scholarship. His current project, The Narrative Forms of Experience , funded by the Swedish Research Council, examines modern European novels through Walter Benjamin and Monika Fludernik’s theories. He collaborated with Stefano Ercolino at Ca’ Foscari University in Venice (2022–2023). His publications span peer-reviewed articles, reviews, and a monograph, addressing themes like narrative structure, genre hybridity, and modernist form. Awards include the Lundberg Foundation scholarship. Renard’s interdisciplinary approach bridges literary analysis with broader cultural and philosophical inquiries.
Roman Frigg is Professor of Philosophy at the London School of Economics and Political Science (LSE) , affiliated with the Department of Philosophy, Logic and Scientific Method . He serves as Director of the Centre for Philosophy of Natural and Social Science (CPNSS) and Co-Director of the Centre for the Analysis of the Time Series (CATS) . Holding a PhD from the University of London and MScs in theoretical physics and philosophy from the University of Basel, his research spans philosophy of science , statistical mechanics , and climate modeling . Education : PhD (University of London), MSc (University of Basel: Theoretical Physics, Philosophy) His work addresses foundational questions in statistical mechanics and thermodynamics , including equilibrium theory, entropy interpretation, and relations between Boltzmannian and Gibbsian frameworks. Recent publications focus on probabilistic forecasts in chaotic climate models , culminating in the co-authored book The Fundamentals of Thermodynamics (Springer, 2025). Articles explore topics like the Ergodic Hierarchy , GRW quantum theory , and robustness analysis in climate science. Roman has made significant contributions to reconciling deterministic dynamics with objective probability via Humean interpretations. His collaborations with Charlotte Werndl, Carl Hoefer, and David Lavis have produced key insights into typicality , chaos-randomness relations , and non-equilibrium thermodynamics . Scientific Awards : Friedrich Wilhelm Bessel Research Award (Alexander von Humboldt Foundation) Roman supervises PhD students on topics ranging from scientific representation to quantum mechanics and climate policy uncertainty . His website provides access to his publications and teaching materials.