جست‌وجوی استاد و پژوهشگر

Kelsey Grindeمشاهده پروفایل

استادیار

• Statistics
• Data Science
• Biostatistics
• +۳ مورد دیگر

Kelsey Grinde is an Assistant Professor in the Department of Mathematics, Statistics, and Computer Science at Macalester College in St. Paul, Minnesota. She specializes in statistical genetics and biostatistics, with a focus on developing statistical methods for genetic studies in populations with mixed, diverse ancestry. Her research interests include: Statistical genetics and biostatistics Methods for genetic studies in admixed populations Scholarship of teaching and learning, particularly alternative grading Addressing statistical challenges in genetic data analysis Professor Grinde teaches across the undergraduate statistics and data science curriculum, from introductory statistics to upper-level statistical theory. She has developed a course in statistical genetics and enjoys helping students understand and think critically about data. Her research publications demonstrate expertise in genome-wide significance thresholds for admixture mapping, pitfalls in principal component analysis for population structure, health disparities in B-cell acute lymphoblastic leukemia, and equity dimensions in grading practices. These works span biostatistics, statistical genetics, oncology, and statistics education. Professor Grinde has received recognition for her scholarship of teaching and learning, with her post on grading equity being recognized as one of the most popular posts of the year and all time on Grading for Growth. She actively mentors undergraduate students in research, collaborating with them on publications and summer research projects. Her educational background includes a BA in Mathematics from St. Olaf College (2014) and a PhD in Biostatistics from the University of Washington (2019).

• Population genomics
• Human genome
• Coalescence theory
• +۵ مورد دیگر

Vladimir Lvovich Shchur is a Professor at the Department of Big Data and Information Retrieval within the Faculty of Computer Science at the National Research University Higher School of Economics (HSE). He serves as Head of the International Laboratory of Statistical and Computational Genomics at the Institute of Artificial Intelligence and Digital Sciences and is a Member of HSE's Academic Council. Dr. Shchur began working at HSE in 2018 and has accumulated 12 years of scientific and teaching experience across multiple prestigious institutions. Dr. Shchur's educational background includes: Doctor of Physical and Mathematical Sciences from HSE (2023) PhD from University of Paris XI (2013) Specialist degree in Mathematics from Lomonosov Moscow State University (2009) His research focuses on population genomics, human genome analysis, coalescence theory, hidden Markov models, and mathematical approaches to genomic data. Dr. Shchur has developed sophisticated computational methods that bridge theoretical mathematics with practical applications in genomics and population genetics. His work demonstrates a consistent progression from pure mathematical theory to applied computational biology, with recent emphasis on machine learning integration. Analysis of his recent publications reveals a strong focus on developing advanced computational tools for genomic analysis, with applications ranging from human population history reconstruction to viral epidemiology. His work shows increasing sophistication in integrating machine learning techniques with traditional population genetic methods, particularly evident in his deep learning approaches for inferring coalescence times and ancestry. His laboratory has made significant contributions to understanding SARS-CoV-2 transmission dynamics in Russia through genomic epidemiology. Dr. Shchur has received numerous scientific recognitions: Letter of thanks from HSE Vice-Rector (December 2024) Allowance for doctoral dissertation defense (2023-2026) Multiple publication bonuses for high-impact journals (2019-2026) Membership in HSE Personnel Reserve (High Professional Potential Group) Dr. Shchur actively supervises student research, with Khomutov E. V. currently working on machine learning applications in population genomics. He has secured multiple competitive research grants, including RSF projects on genetic mixing modeling and deep learning applications for population structure analysis. As laboratory head, he leads a multidisciplinary team developing tools like VGsim (viral genealogy simulator) and AncestryGNN (neural network for population prediction), with growing industry partnerships in agriculture and healthcare.

Kevin F Millerمشاهده پروفایل

استاد

• Early Mathematical Development
• Early Literacy Development
• Cross-Cultural Education
• +۳ مورد دیگر

Kevin F Miller serves as Professor of Education at the Marsal Family School of Education and Professor of Psychology in the College of Literature, Science, and the Arts at the University of Michigan, with additional affiliation as Faculty Associate at the Research Center for Group Dynamics within the Institute for Social Research. His academic credentials include: PhD from the University of Minnesota Miller's research program centers on early mathematical and literacy development through developmental and school psychology frameworks, emphasizing cross-cultural comparisons between Chinese and American educational contexts. He pioneers video-based methodologies to examine instructional practices and classroom discourse, investigating how developmental processes interact with educational environments to shape academic competence. His work bridges cognitive theory with practical classroom applications. Publication trends from 2011-2016 reveal concentrated focus on educational assessment (TIMSS reanalysis), instructor effectiveness metrics, classroom interaction classification systems, and cross-cultural learning paradigms, demonstrating consistent application of mixed-methods approaches to educational psychology questions. His scientific recognition includes: Fellow of the American Psychological Association While student advising details remain unspecified in available materials, Miller's research collaborations—particularly through the Epilepsy Phenome/Genome Project involving 40+ co-authors—highlight extensive interdisciplinary partnership capabilities. His work with the Research Center for Group Dynamics suggests engagement in team-based social dynamics research, though specific lab structures aren't documented. Current affiliations position him at the intersection of educational measurement, cultural psychology, and instructional technology development within Michigan's research ecosystem.

• Political Science
• Electoral Systems
• Democracy
• +۵ مورد دیگر

John Högström is a researcher in Political Science at Mid Sweden University's Department of Humanities and Social Sciences (HSV), affiliated with the Risk and Crisis Research Centre. His work focuses on electoral systems, democracy, gender equality in politics, and voter behavior, with a particular emphasis on Sweden and comparative analyses. His recent publications examine topics such as descriptive representation of women , mixed electoral systems , poll workers , and early voting . These studies often employ quantitative methods and comparative frameworks to analyze democratic processes, institutional design, and electoral outcomes. Key trends in his research include the interplay between institutional reforms and voter participation , the gender dynamics in political representation, and the administrative challenges in election management. He collaborates frequently with scholars like Jerhov, Lidén, and Dahlberg, contributing to journals such as Public Choice , European Political Science , and Election Law Journal .

Jun Liمشاهده پروفایل

استادیار

• Urban Governance
• Public Administration
• Social Network Analysis
• +۳ مورد دیگر

Jun Li serves as an Assistant Professor at the College of Charleston, teaching core courses including Research Design and Quantitative Analysis, American Government, Data Analysis and Programming (basic and advanced), and Nonprofit and Civil Society. Her academic work bridges theoretical public administration with practical service delivery challenges in urban contexts. Education: BA in Economics and Trade from Zhejiang University, China PhD in Public Administration from the University of Illinois Chicago Research Interests: Dr. Li specializes in analyzing governance networks through social network analysis (SNA), investigating how governmental and nonprofit entities collaborate under constraints of accountability, resource scarcity, and equity demands. Her work particularly examines regional integration dynamics and bureaucratic representation, with emerging research on AI applications for improving public services in low-income communities of color. This mixed-methods approach combines quantitative rigor with qualitative depth to address real-world policy dilemmas. Publication Trends: Her recent scholarship reveals a cohesive focus on collaborative governance mechanisms, evidenced by longitudinal analyses of fiscal stress impacts and systematic reviews of bureaucratic representation frameworks. These works consistently apply network theory to public service delivery challenges, positioning her at the intersection of urban studies, nonprofit management, and computational social science. Scientific Awards: Sam Overman Best Paper Award by the Section for Complexity and Network Studies at the American Society for Public Administration Advising and Grants: While specific student mentorship details and grant histories aren't documented in available materials, her active publication record in high-impact journals and edited volumes suggests substantial external funding and robust student engagement in research projects. Labs and Teams: Current information does not reference dedicated research laboratories or formal interdisciplinary teams, though her collaborative publications indicate active partnerships with scholars across multiple institutions.

Megan Walshمشاهده پروفایل

استاد

• Paleoecology
• Fire Ecology
• Paleoclimatology
• +۴ مورد دیگر

Megan Walsh is Professor and Department Chair in the Department of Geography at Central Washington University, where she also directs both the Integrated Energy Management Program and the Cultural and Environmental Resource Management Masters Program. Her academic leadership spans curriculum development, program administration, and active research mentorship. Her educational background includes a Ph.D. in Natural and Anthropogenic Influences on the Holocene Fire and Vegetation History from the University of Oregon (2008), an M.S. in Fire History of Two Selected Sites in the Uinta Mountains from the University of Utah (2002), and a B.S. with minors in Geography and French from the University of Denver (1999). Walsh specializes in Late Quaternary paleoecology and paleoclimatology with emphases on fire ecology across western North America and Central America. Her research integrates paleoenvironmental reconstruction using lake sediment cores, charcoal analysis, and pollen studies to examine climate-vegetation-fire-human interactions. She actively applies paleoecological data to contemporary land management policy and climate change adaptation strategies, with field sites spanning Oregon, Washington, Utah, Colorado, Montana, Idaho, and Belize. Her teaching portfolio includes foundational courses like Our Dynamic Earth and specialized offerings such as Pyrogeography and Biogeography , all emphasizing field-based learning. Analysis of her recent publications reveals consistent focus on fire history methodology , Holocene climate drivers , and human-environment interactions , with increasing attention to policy applications and educational frameworks. Her work frequently employs multi-proxy sediment analysis to disentangle natural climate variability from anthropogenic impacts across millennia. As director of two graduate programs and through courses like CERM 505 (Research Design), Walsh actively mentors emerging researchers. Her Paleoecology Lab facilitates undergraduate field experiences and collaborative research, particularly evident in publications co-authored with students. While no specific grants are detailed in the source text, her sustained publication record across high-impact journals indicates successful extramural funding. Walsh maintains the Paleoecology Lab at CWU, which serves as the operational hub for her research group. The lab supports field expeditions across the Pacific Northwest and Central America, emphasizing hands-on training in sediment coring, charcoal analysis, and paleoenvironmental interpretation. Her photo gallery documentation of field schools demonstrates strong emphasis on experiential learning.

Dustin Schroederمشاهده پروفایل

دانشیار

• Geophysics
• Glaciology
• Planetary Science
• +۳ مورد دیگر

Roles and Affiliations: Dustin Schroeder is an Associate Professor of Geophysics and of Electrical Engineering at Stanford University, and a Senior Fellow at the Woods Institute for the Environment. He leads the Stanford Radio Glaciology group, focusing on advancing radar technologies for ice-sheet observation. Research Interests: His work integrates radar engineering and Earth system science to study ice-water interactions in polar regions and icy moons. Key areas include subglacial dynamics, ice-sheet stability, and Europa exploration. He develops innovative radar systems like ORCA and MAPPERR for high-resolution subsurface imaging and environmental monitoring. Labs/Teams: He directs the Stanford Radio Glaciology group, collaborating on projects such as the Europa Clipper mission and BEDMAP3 ice-sheet mapping. His work bridges geophysics, electrical engineering, and planetary science, emphasizing interdisciplinary approaches. Grants and Projects: Involved in NASA missions (e.g., Europa Clipper) and international collaborations like ROSETTA-Ice. His research addresses urgent climate questions, such as Antarctica's contribution to sea-level rise and ice-shell processes on icy moons.

J.P. McCarthyمشاهده پروفایل

مدرس

• Quantum Groups
• Random Walks on Finite Quantum Groups
• Operator Algebras
• +۳ مورد دیگر

J.P. McCarthy is a Lecturer in the Department of Mathematics at Munster Technological University (MTU), Ireland. His research focuses on Quantum Groups, Random Walks on Finite Quantum Groups, and related areas in Operator Algebras and Mathematical Physics. He completed his PhD in Mathematics at University College Cork (UCC) in 2017 under the supervision of Dr. Stephen Wills, with a thesis titled Random Walks on Finite Quantum Groups — Diaconis-Shahshahani Theory for Quantum Groups . He also holds an MSc by Research and BSc in Joint Honours Mathematics & Physics from UCC. McCarthy’s work explores quantum symmetries, ergodic theory on quantum groups, and applications of representation theory. Recent publications include advancements in the Frucht property for quantum groups, state-space approaches to quantum permutations, and ergodic theorems for random walks on quantum structures. He has supervised research students in data science and analytics, including topics like mortality rate smoothing and sports betting clustering. Teaching interests span engineering mathematics, data science, and foundational courses for teachers. He contributes actively to mathematics education through initiatives like the Transposition Project and engages with online communities (e.g., Math.StackExchange, MathOverflow). Affiliations include the MIC-MTU-UCC Quantum Mathematics research group and participation in international workshops/conferences on quantum groups and noncommutative probability. He is a regular speaker on topics like quantum permutation groups and the philosophy of pure mathematics in applied contexts.

• Marine Geology
• Coral Reef Ecology
• Submarine Geomorphology
• +۳ مورد دیگر

Robin Jordan Beaman is a researcher at James Cook University (JCU) specializing in marine geology, coral reef systems, and submarine geomorphology. His work focuses on understanding coastal and marine processes, including sediment dynamics, sea-level changes, and the interaction between human activity and natural environments. He has contributed extensively to studies of the Great Barrier Reef's submerged geomorphic features, submarine landslides, and coral reef ecology. Research interests include carbonate platform evolution, deep-sea biodiversity, and the application of geospatial technologies for marine environmental monitoring. Collaborations span archaeology, ecology, and geophysics, reflecting interdisciplinary approaches to coastal and marine sciences. His fieldwork often integrates advanced mapping techniques such as LiDAR and underwater robotic surveys. Key contributions include: Mapping submerged reefs and shelf-edge geomorphic features in the Great Barrier Reef Investigating postglacial sedimentation and sea-level impacts Characterizing Halimeda bioherms and their role in carbonate budgets Studying submarine landslide hazards and their implications for coastal communities Recent projects involve interdisciplinary work on early human migration routes and coastal paleolandscapes, linking geological data with archaeological findings.

Qian Xudongمشاهده پروفایل

دانشیار

• Structural Digital Twin
• Fatigue and Fracture Mechanics
• Offshore Structures
• +۴ مورد دیگر

Dr. Qian Xudong is a Dean’s Chair Associate Professor in the Department of Civil and Environmental Engineering at the National University of Singapore (NUS). He holds leadership roles as Deputy Head (Administration and Finance) of CEE, Director of the Coastal Protection and Flood Resilience Institute (CFI Singapore), and Director of the Centre for Offshore Research and Engineering (CORE). His research focuses on structural digital twins, fracture mechanics, fatigue assessment, and composite materials. He has pioneered methodologies for offshore engineering and material science applications. Education : BEng (Hons) in Civil Engineering (NUS, 2000), PhD in Civil Engineering (NUS, 2005). Prior roles include Post-doctoral Research Associate at University of Illinois at Urbana-Champaign (2006–2007). Research Interests : Structural digital twins, fatigue/fracture in large-scale structures, composite materials, floating structures, additive manufacturing for metals, and offshore system integrity. He has led over 20 research projects funded by ASTAR, NRF, and industry partners like Keppel. Awards : 2024 IES Engineering Achievement Award, 2019 Nishino Prize, and multiple Singapore Accreditation Council awards (Gold 2020, Silver 2017, Bronze 2016). Advising & Grants : Supervised 20+ PhD/MSc students and post-doctoral researchers. Current projects include ENFORCE (offshore wind systems) and Smart Floating Structures for Coastal Protection (CFISG Team). Collaborates with industry leaders like ADMA and China Harbour Engineering. Labs & Teams : Directorships at CFI Singapore, CORE, and CAMS. Oversees strategic partnerships and technology translation in coastal resilience and advanced materials.

Patrick Andersonمشاهده پروفایل

استاد

• Polymer Rheology
• Complex Fluids
• Structure Development During Flow
• +۶ مورد دیگر

Patrick Anderson is Dean of the Department of Mechanical Engineering and full professor specializing in structure and rheology of complex fluids at Eindhoven University of Technology (TU/e). He chairs the Polymer Technology group within the Institute for Complex Molecular Systems. His academic career spans over two decades since completing his PhD in Mechanical Engineering in 1999, with a one-year industry stint at Océ Technologies before joining TU/e. Professor Anderson's research focuses on: Structure development during flow of complex fluids Interfacial phenomena in polymer processing Additive manufacturing technologies Computational methods for analyzing interfacial flows Rheology of polymer blends and composites His recent publications reveal a strong interdisciplinary approach combining polymer science, rheology, and advanced manufacturing. The research shows increasing focus on sustainable materials like polylactic acid (PLA), 3D food printing applications, and electromagnetic interference shielding solutions using polymer nanocomposites. His methodology consistently integrates computational modeling with sophisticated experimental techniques such as in-situ X-ray and light scattering measurements across multiple length scales. Professional recognition includes: Chairmanship of the Dutch Society of Rheology Editorial Board membership for Macromolecular Materials Engineering International Advisory Board participation for polymer science journals Prestigious visiting professorships at UCSB, Stanford, and ETHZ Professor Anderson has developed educational materials including an interactive textbook for first-year mechanical engineering students published in 2024. His research group collaborates extensively with industry partners through projects like the Dutch Polymer Institute initiative ANGLE, demonstrating his commitment to translating fundamental understanding into practical applications across multiple sectors. He leads the Processing and Performance research group within the ICMS Core at TU/e, focusing on advancing quantitative predictive capability in polymer product design and manufacturing processes.

Kai-Chung Chengمشاهده پروفایل

استادیار

• Indoor Air Quality
• Particulate Matter (PM2.5)
• Exposure Assessment
• +۴ مورد دیگر

Kai-Chung Cheng is an Assistant Professor of Environmental Health at San Diego State University (SDSU), affiliated with the College of Health and Human Services. His research focuses on indoor air quality, particulate matter (PM2.5) exposure assessment, and the health impacts of secondhand smoke, marijuana smoke, and vaping. He employs advanced monitoring techniques, including real-time sensors and machine learning, to quantify emission sources and spatial exposure gradients in residential and public settings. Key areas of investigation include comparing tobacco and cannabis smoke emissions, evaluating fan-induced air mixing effects, and validating low-cost environmental sensors. His work extends to policy development, such as collaborating with California Indian communities on smoke-free casino policies. Cheng’s studies also address public health risks of marijuana vaping in outdoor spaces like golf courses and explore the efficacy of air purifiers in reducing allergen exposure for children. Publications highlight methodological innovations, such as aerosol volatility estimation via piezobalance and PM2.5 calibration for low-cost monitors. His interdisciplinary approach integrates environmental engineering, toxicology, and geospatial analysis to address complex indoor/outdoor pollution challenges.

Ryan Fisherمشاهده پروفایل

استاد مدعو

• Conservation Biology
• Wildlife Management
• Species-Habitat Modeling
• +۲ مورد دیگر

Dr. Ryan Fisher serves as Curator of Vertebrate Zoology at the Royal Saskatchewan Museum and Adjunct Professor in the Department of Biology at the University of Regina. His research centers on conservation biology and wildlife management, particularly focusing on grassland birds and mammals in prairie ecosystems. Key species studied include Burrowing Owls, Ferruginous Hawks, Sprague's Pipit, and Sharp-tailed Grouse. Research examines how human activities and climate change affect habitat selection, reproductive success, and survival of prairie species. Recent work investigates weather impacts on demographic rates to predict climate change vulnerability. Dr. Fisher emphasizes translating scientific findings into conservation applications and public outreach. Publications demonstrate strong focus on habitat modeling, species distribution, and anthropogenic impacts. Recent articles analyze lek habitat suitability for Sharp-tailed Grouse and Richardson's ground squirrel habitat associations. He actively mentors graduate students through co-supervision arrangements, seeking candidates interested in avian ecology and conservation. Funding opportunities include MITACS scholarships for prairie bird research projects.

Eric Grosseمشاهده پروفایل

استادیار

• Operations Management
• Digital Transformation
• Human Factors in Logistics
• +۱۲ مورد دیگر

Eric Grosse is a Junior Professor for Business Administration, especially Digital Transformation in Operations Management, at Saarland University, Faculty of Humanities and Social Sciences. His research focuses on integrating human factors—such as ergonomics, fatigue, learning, and behavior—into decision models for logistics and production systems. He leads several interdisciplinary research projects including Human-Centric Production and Logistics, Models for an Active Aging Workforce, and Behavioral Order Picking. University: Saarland University School: Faculty of Humanities and Social Sciences Department: Junior Professorship for Business Administration, especially Digital Transformation in Operations Management Academic Rank: Assistant Professor Email: eric.grosse@uni-saarland.de His research interests include Operations Management, Digital Transformation, Human Factors in Logistics, Ergonomics in Warehousing, Behavioral Operations, and Sustainable Logistics. His work emphasizes human-centered design in warehousing and production, aiming to balance economic efficiency with worker well-being. He develops optimization models that simultaneously minimize costs and physical strain, and explores how learning, incentives, and fatigue affect order picking performance. The analysis of his recent publications reveals a consistent focus on integrating ergonomic and economic objectives in manual materials handling and order picking. Key themes include storage assignment optimization, workforce scheduling with ergonomic constraints, human-robot collaboration, and the impact of worker behavior and fatigue on system performance. His methodologies often combine mathematical modeling, simulation, and empirical validation through case studies and experiments. Eric Grosse actively collaborates with researchers from institutions such as TU Darmstadt and has published in top-tier journals like the International Journal of Production Research, Computers & Industrial Engineering, and International Journal of Operations & Production Management. His work supports warehouse managers in improving working conditions while maintaining operational efficiency. Human-Centric Production and Logistics System Design Models and Methods for an Active Aging Workforce Behavioral Order Picking Green Warehousing Supply Chain Resilience Warehousing 4.0/5.0 Digital Transformation Coaching He advises and co-supervises research with a team of collaborators and has contributed to the development of assessment tools like the Warehouse Error Prevention (WEP) tool. His research is funded by the German Federal Ministry for Economic Affairs and Energy, indicating active grant involvement. Though no formal students are listed, his co-authored papers suggest mentorship of junior researchers. He has no listed scientific awards in the provided text.

• Analog Circuits
• Digital Signal Processing
• Integrated Circuit Design
• +۳ مورد دیگر

Lei Qiu is affiliated with Tongji University , College of Electronics and Information, Shanghai, China, and holds a PhD from Nanyang Technological University (2016), School of Electrical and Electronic Engineering, Singapore. His research focuses on Analog Circuits , Digital Signal Processing , and Integrated Circuit Design , particularly in ADC calibration techniques, LiDAR systems, and sensor technology. Education: PhD, Nanyang Technological University (2016) His work addresses challenges in Time-Interleaved ADCs , SAR ADCs , and dToF LiDAR , with recent publications emphasizing error correction, power efficiency, and machine learning integration for real-time systems. Collaborations span institutions like National University of Defense Technology, Tsinghua University, and industry leaders in CMOS technology. Key contributions include innovations in Capacitor Mismatch Calibration , Common-Mode Detection , and Dynamic Amplifiers , reflecting a trend toward optimizing high-speed, low-power analog-digital interfaces for applications in medical imaging and autonomous systems.