جست‌وجوی استاد و پژوهشگر

Min Seong Kimمشاهده پروفایل

دانشیار

• Econometrics
• Panel Data Analysis
• Bootstrap Methods
• +۳ مورد دیگر

Min Seong Kim is an Associate Professor in the Department of Economics at the University of Connecticut, affiliated with the College of Liberal Arts and Sciences. His research focuses on econometrics, particularly panel data analysis, bootstrap methods, and cross-sectional dependence. He earned his Ph.D. in Economics from UC San Diego in 2011. His contact information includes email: min_seong.kim@uconn.edu , and office location Oak Hall 330. Education: Ph.D., Economics, UC San Diego, 2011 Research Interests: Econometric theory and applications Bootstrap methods and robust inference Panel data models with cross-sectional dependence Time series analysis and spatial econometrics Publications highlight his contributions to econometric methodology, including robust inference techniques for panel data models, bootstrap methods, and policy analysis. Recent work addresses cross-sectional dependence in large panel models and diffusion index forecasts. No scientific awards are explicitly listed. Advising and grant details are not provided in the text. His research is supported through standard academic channels, and he maintains a professional website at http://minseongkim.weebly.com .

Steven Mansonمشاهده پروفایل

استاد

• Geographic Information Science
• Environmental Science
• Biocomplexity
• +۱۲ مورد دیگر

Dr. Steven Manson is a Professor in the Department of Geography, Environment, and Society at the University of Minnesota's College of Liberal Arts, where he also served as Associate Dean for Research and Graduate Programs. He directs the Human-Environment Geographic Information Science (HEGIS) laboratory and leads major data science initiatives like the National Historical Geographic Information System (NHGIS) and IPUMS Terra. PhD in Geography, Clark University (2002) BA Honours in Geography, University of Victoria (1995) His research focuses on geographic information science and human-environment systems , using agent-based modeling and big data to analyze land use change, urban dynamics, and sustainability challenges. Recent work explores spatiotemporal data harmonization and geospatial cyberinfrastructure . The articles reveal trends in GIScience methodology , urbanization analysis , and data-intensive sustainability research . Key contributions include self-organizing map applications for health data and hybrid statistical-GIS techniques for environmental policy. Scientific accolades include: Ecological Society of America Sustainability Science Award NASA Earth System Science Fellow McKnight Land Grant Professorship As Principal Investigator for NHGIS and IPUMS Terra, he secured over $40M in NSF, NIH, and DOJ grants for spatiotemporal data infrastructure. Outreach initiatives include developing open geospatial textbooks adopted globally and collaborating with Twin Cities K-12 programs.

Samuel D. Goslingمشاهده پروفایل

استاد

• Personality Psychology
• Environmental Psychology
• Social Psychology
• +۳ مورد دیگر

Samuel D. Gosling is a Professor in the Department of Psychology at the University of Texas, leading the Gosling Lab. His research focuses on how personality is expressed in physical environments (e.g., offices, bedrooms), virtual spaces (e.g., social media), and through preferences like music. He has pioneered studies on the link between personal spaces and occupant traits, as well as the accuracy of personality judgments from online profiles. His work also explores animal personality and innovative methods for collecting social science data via the internet. Collaborators include experts in environmental psychology, music preferences, and behavioral research. The Gosling Lab develops scales like the Ten Item Personality Measure (TIPI) and studies geographic correlations of psychological traits. Key research areas: Environmental psychology, social media analysis, music personality links. Lab contributions: Over 150 publications, including seminal works on Facebook and World of Warcraft studies. His research emphasizes real-world applications, such as matching pets to owners and identifying traits through physical/virtual environments. Current projects include exploring how spatial environments influence cognitive-emotional regulation and large-scale geographic personality trends.

Sibel Alumur Alevمشاهده پروفایل

دانشیار

• Supply Chain Management
• Logistics Network Design
• Operations Research
• +۴ مورد دیگر

Sibel Alumur Alev is an Associate Professor and Associate Chair of Graduate Studies at the University of Waterloo. Her research focuses on logistics network design, hub location optimization, and sustainable transportation systems. She actively contributes to the fields of operations research and supply chain management, with a strong emphasis on addressing uncertainty in network design and strategic infrastructure planning. Her work spans applications in autonomous mobility systems, electric vehicle charging infrastructure, healthcare logistics, and pandemic response. She has published extensively on hub-and-spoke network models, reverse logistics for environmental sustainability, and multi-period resource allocation strategies. Notable areas of interest include the integration of stochastic and robust optimization methodologies into real-world logistics challenges. Dr. Alev’s research also bridges academic and industrial needs, addressing practical problems such as optimal testing center locations during pandemics and strategic freight hub expansions. Her contributions have been featured in peer-reviewed journals and conference proceedings, reflecting her commitment to advancing both theoretical and applied aspects of logistics and operations research.

Laraib Niazمشاهده پروفایل

پژوهشگر

• Inclusive Education
• Disability
• Gender and Development
• +۵ مورد دیگر

Dr. Laraib Niaz is a Research Associate at the Faculty of Education, University of Cambridge, where she contributes to the independent evaluation of the Girls' Education Challenge II initiative. She holds an MSc in Development Management from the London School of Economics (LSE) and a PhD in Education from University College London (UCL). Previously, she served as an education consultant at the World Bank and has taught at LUMS and University College London. Her research focuses on inclusive education, disability studies, gender and development, national identity construction, and decolonizing research practices. She is affiliated with the Cambridge Network for Disability and Education Research (CaNDER) and the REAL Centre. Her research interests include exploring the role of religion in education, particularly in Pakistan, and analyzing media narratives during pandemics. She examines how textbooks construct national identity and investigates the impact of pseudoscience in educational systems. Her work also addresses academic freedom in higher education institutions in India and Pakistan. Laraib has extensive experience in supervising students and collaborating with international organizations such as the World Bank on inclusion-focused projects. Laraib has supervised students during her academic roles at LUMS and UCL. While specific grants are not detailed here, her current work involves evaluating 41 GEC II projects across 17 countries to assess support for girls with disabilities. Her research often intersects with global development and educational equity initiatives. She is part of the Cambridge Network for Disability and Education Research (CaNDER) and the REAL Centre , focusing on equitable access and learning in education systems.

Joshua Bardمشاهده پروفایل

دانشیار

• Robotic Fabrication
• Architectural Design
• Human-Machine Collaboration
• +۴ مورد دیگر

Joshua D. Bard is an Associate Professor and Associate Head for Design Research at Carnegie Mellon University's School of Architecture. His work bridges traditional craft and cutting-edge robotics, focusing on human-machine collaboration in construction domains. He leads Archolab, an award-winning research group exploring digital fabrication methods like 'Morphfaux' (robotic plaster techniques) and 'Spring Back' (parametric steam bending). Education: M.Arch (Distinction) from University of Michigan; B.A. in Literature & Philosophy from Wheaton College. Professional affiliations include the Manufacturing Futures Institute and rob|arch. Research emphasizes reviving historical crafts through digital tools, such as augmented reality interfaces for architectural education and thermal-tuned concrete panels via robotic processes. His teaching includes generative modeling and architectural robotics labs. Awards: Architect Magazine R+D Award, Canadian Wood Council Merit Award Key Projects: Plaster ReCast AR app, Thermally Informed Robotic Concrete Panels Collaborators: Dana Cupkova, Garth Zeglin, Steven Mankouche Current courses include 62-225 Generative Modeling and 48-555 Introduction to Architectural Robotics. His work is featured in venues like the Carnegie Museum of Art and academic journals like International Journal of Architectural Computing .

David A. Stephensمشاهده پروفایل

استاد

• Bayesian Inference
• Biostatistics
• Causal Inference
• +۳ مورد دیگر

David A. Stephens is a Professor in the Department of Mathematics and Statistics at McGill University, Montreal. He served as Chair of the Department from 2015 to 2019 and as Vice-Dean in the Faculty of Science from 2019 to 2025. His research focuses on Bayesian inference, biostatistics, causal inference, bioinformatics, and statistical genetics. He holds prestigious fellowships: International Statistical Institute (2015), American Statistical Association (2019), and Royal Society of Canada (2024). His work addresses challenges in epidemiology, HIV transmission dynamics, and clinical trial design. Key research themes include: Bayesian hierarchical modeling for infectious diseases (e.g., SARS-CoV-2, HIV) Causal inference in dynamic treatment regimes Survival analysis and censored data methods Statistical genomics and epigenetics His publications analyze public health trends, such as HIV transmission clusters in Quebec and SARS-CoV-2 seroprevalence in Canada. Methodologically, he develops novel techniques for time-series analysis, recruitment forecasting in clinical trials, and computational statistics. Notable contributions include: Advancing phylogenetic cluster inference in HIV studies Optimizing warfarin dosing strategies via SMART trials Modeling gut microbiota impacts on growth faltering in infants His academic leadership includes roles at McGill and prior experience at Imperial College London. His work bridges statistical theory and practical healthcare applications, emphasizing interdisciplinary collaboration.

• Antenna Measurement
• Electromagnetic Field Theory
• Near-Field to Far-Field Transformation
• +۵ مورد دیگر

Dr. Alexander Paulus serves as a Researcher at the Chair of High-Frequency Engineering within the Department of Electrical Engineering at the Technical University of Munich (TUM), School of Computation, Information and Technology. Working under Prof. Dr.-Ing. Thomas Eibert, he contributes to advanced electromagnetic research and measurement systems development at TUM's Arcisstr. 21 campus in Munich. Research Expertise His core specialization lies in near-field antenna measurement and transformation techniques, with significant contributions to phase retrieval algorithms, inverse source methods, and UAV-based electromagnetic field measurements. He addresses critical challenges including probe correction with unknown antennas, sparse sampling for directive antennas, and electromagnetic modeling of environmental effects like rain attenuation. His work bridges theoretical electromagnetics with practical antenna characterization solutions. Publication Trends From 2014-2025, Paulus has published 25+ papers focusing on near-field to far-field transformations, particularly in phaseless and multi-probe scenarios. Recent work (2023-2025) demonstrates innovation in spectral filtering, sparse reconstruction, and UAV-based systems for defect localization and wet antenna modeling. His research increasingly integrates computational techniques to solve complex inverse problems in antenna measurements. Scientific Recognition No formal awards documented in available information Academic Contributions Student Mentoring: No advisees listed in provided materials Research Funding: Grant details not specified in source text Research Environment Paulus operates within TUM's Chair of High-Frequency Engineering facilities, which include advanced near-field measurement ranges, UAV-based electromagnetic characterization systems, and laboratories for metamaterials research and electromagnetic compatibility testing. His work supports applications in 5G/6G communications, aviation navigation systems, and precision antenna diagnostics.

• Causal Inference
• Machine Learning
• Global Health
• +۴ مورد دیگر

Dr. Laura B. Balzer is an Associate Professor of Biostatistics at the University of California, Berkeley. Her work focuses on causal inference, machine learning, and addressing methodological challenges in both randomized trials and observational studies, particularly in global health contexts. She leads collaborations in East Africa, focusing on HIV elimination and community health in rural regions. Her research emphasizes translating academic findings into real-world impact. Education: PhD in Biostatistics, UC Berkeley (2015) MPhil in Computational Biology, University of Cambridge (2009) BS in Applied Mathematics, University of Vermont (2008) Research Interests: Dr. Balzer’s work addresses causal inference in complex settings, including semi-parametric methods, measurement challenges, and dependence structures. Her global health projects target HIV prevention, tuberculosis transmission, and hypertension management in sub-Saharan Africa. She designs interventions like the SEARCH Dynamic Choice model, which offers flexible HIV prevention options, and evaluates community health worker programs. Publications highlight her contributions to HIV/AIDS research, including studies on PrEP uptake, viral suppression in adolescents, and tuberculosis-HIV co-infection. Methodologically, she advances causal inference frameworks to handle missing data and clustered designs. Awards: While no specific awards are listed, her work has been funded by initiatives like the SEARCH trials, reflecting its scientific and public health significance. Advising & Grants: Balzer collaborates with multidisciplinary teams in Uganda and Kenya, focusing on translational research. Her grants support interventions linking statistical innovation to healthcare delivery improvements in resource-limited settings. Labs/Teams: Her research is embedded within global health partnerships, particularly within the SEARCH trials network, which integrates biostatistics with clinical and community-based implementation.

Wesley McGeeمشاهده پروفایل

دانشیار

• Robotics
• Digital Fabrication
• Material Computation
• +۳ مورد دیگر

Wesley McGee serves as Associate Professor of Architecture and Director of the Fabrication and Robotics Lab (FABLab) at the University of Michigan Taubman College of Architecture and Urban Planning. He co-founded Matter Design, a studio pioneering innovative applications of advanced manufacturing in architectural production across global contexts including the US, Europe, Middle East, and Australia. Education Bachelor of Science in Mechanical Engineering, Georgia Tech Master of Industrial Design, Georgia Tech McGee's research critically interrogates material production methods in architecture through robotics and digital fabrication, developing novel connections between design, engineering, and manufacturing processes. His work explores spatial-laminated timber systems, geometrically adaptive robotic workflows, and real-time fabrication-aware form finding to create material-efficient architectural solutions. His publications trend toward integrating computational design with physical construction, emphasizing topological optimization, adaptive robotic motion planning, and additive manufacturing techniques that reduce material usage by up to 46% compared to conventional systems. Scientific Awards Architectural League Prize for Young Architects & Designers Design Biennial Boston Award ACADIA Award for Innovative Research Architect Magazine R+D Award (multiple) McGee leads NSF Regional Innovation Engines semifinalist projects including Next-Generation Factory-Built Housing and secures University of Michigan grants for climate action initiatives. His Matter Design studio collaborates with architects, engineers, and artists on exhibitions like Climate Futures and SPLAM, advancing equitable city-making through material innovation. As FABLab Director, he operates a cutting-edge robotics facility where industrial tools are reconfigured for architectural production, mentoring students in courses like ARCH 581 (Advanced Robotics) and ARCH 702 (Robotic Engagement) while pushing boundaries in mass timber and glass fabrication.

Ye Wangمشاهده پروفایل

استادیار

• Political Methodology
• Comparative Politics
• Public Policy
• +۳ مورد دیگر

Ye Wang is an Assistant Professor in the Department of Political Science at the University of North Carolina at Chapel Hill since 2022. He previously held postdoctoral and predoctoral research positions at UC San Diego’s School of Global Policy and Strategy (2020–2022). His research bridges political methodology and comparative politics, focusing on statistical tools for policy spillover effects, research transparency, and social learning under non-democratic regimes. He also explores electoral dynamics in contentious political contexts. Ye earned a PhD in Political Science from New York University (2021), with a committee including Nathaniel Beck, Matthew Blackwell, Adam Przeworski, Cyrus Samii, and Joshua Tucker. He holds an MA in Economics from Peking University (2014) and a BS in Mathematics from Fudan University (2011). He withdrew voluntarily from a concurrent PhD in Economics at the University of Wisconsin-Madison (2014–2015). His research interests emphasize causal inference methodologies and their application to understanding political phenomena in non-democratic settings. He develops statistical techniques to address interference in temporal, spatial, and networked data, while also studying how protests and international tensions impact political systems and scientific collaboration. Recipient of the John T. Williams Dissertation Prize (2020), Chiang Ching-kuo doctoral fellowship (2020), and NYU’s MacCracken fellowship (2015–2020). In advising and teaching, Ye has served as a teaching assistant for courses in political methods, comparative politics, and quantitative methods at NYU and the City University of Hong Kong. He has also taught workshops on quantitative methods at Renmin University and contributed to academic seminars at institutions like Yale and Tsinghua. His programming skills include C++, R, Python, GIS, and Stata, complementing his work in methodological research.

Lorenzo Pellisمشاهده پروفایل

پژوهشگر ارشد

• Infectious Disease Epidemiology
• Mathematical Modeling
• Epidemiology
• +۶ مورد دیگر

Dr. Lorenzo Pellis is a Research Fellow at the University of Manchester, holding the Sir Henry Dale Fellowship, and a Visiting Fellow at the University of Warwick's Mathematics Institute and Zeeman Institute. He is also an Honorary Research Associate at the Medical Research Council (MRC) Centre for Outbreak Analysis and Modelling, within the Department of Infectious Disease Epidemiology at Imperial College London. His research bridges applied mathematics and epidemiology, focusing on developing models that inform public health decisions. He earned his Doctoral degree in Mathematical Biology from Imperial College London in 2009, with a dissertation titled Mathematical models for emerging infections in socially structured populations: the presence of households and other social structures II: Comparisons and implications for vaccination . Pellis's research interests include the development of novel deterministic and stochastic methods to model infection spread dynamics, particularly in human populations with complex social structures. He focuses on directly transmitted infections and the impact of co-infections on epidemiological and evolutionary outcomes. His work emphasizes multi-scale models integrating within-host and between-host processes, with applications to antimicrobial resistance, HIV-TB co-infections, and respiratory syncytial virus (RSV) transmission in Kenya. He also explores model comparison techniques to assess the utility of simple models in public health decision-making. His recent articles collectively explore mathematical modeling in infectious disease dynamics, with a focus on network-based approaches, multi-strain infections, and the integration of within-host and between-host processes. They highlight challenges in metapopulation and network models, as well as the evolutionary dynamics of HIV and TB co-infections. Sir Henry Dale Fellow , funded by the Wellcome Trust and Royal Society His grants include support for his Sir Henry Dale Fellowship, which funds research on co-infections and multi-scale models. He collaborates with Prof. Matt Keeling and Dr. Thomas House at Warwick and Prof. James Nokes on RSV studies in Kenya. His work also involves improving epidemic dynamics approximation methods on networks. He is affiliated with the applied Mathematics group at Manchester's School of Mathematics, the Zeeman Institute at Warwick, and the MRC Centre at Imperial College. His interdisciplinary collaborations span institutions and disciplines, including applied mathematics, epidemiology, and public health.

Gareth Robertsمشاهده پروفایل

استاد

• Computational Statistics
• Stochastic Processes
• Bayesian Statistics
• +۵ مورد دیگر

Professor Gareth Roberts is a Professor in the Department of Statistics at the University of Warwick. His research focuses on Computational Statistics, particularly MCMC methods, stochastic processes, Bayesian inference, statistical privacy, and applications in infectious disease modeling and sports analytics. He leads the OCEAN project with Eric Moulines, Michael Jordan, and Christian Robert, and teaches the ST923 lecture course on advanced statistical methods. His research interests include developing efficient sampling algorithms (e.g., MCMC, PDMP), statistical methodology for missing data, and privacy-preserving statistical techniques. Recent work emphasizes high-dimensional Bayesian models, quasi-stationary Monte Carlo, and scalability of computational methods. Publications span innovations in MCMC theory, applications to epidemiology, and sports probability modeling. His work on the Zig-Zag process and stereographic MCMC demonstrates contributions to PDMP-based sampling. Collaborations include interdisciplinary projects on bacterial transmission dynamics and statistical methods for big data. He actively participates in academic leadership, including organizing courses and contributing to the statistical community through projects like OCEAN. Contact: Gareth.O.Roberts@warwick.ac.uk .

Katja Thoringمشاهده پروفایل

استاد

• Creative Workspace Design
• Design Thinking
• Generative AI in Design
• +۵ مورد دیگر

Prof. Dr. Katja Thoring is a Full Professor of Integrated Product Design at the Technical University of Munich (TUM School of Engineering and Design). She holds a doctorate in Design Research from Delft University of Technology and has previously served as Professor of Integrated Design at Anhalt University of Applied Sciences in Dessau from 2009–2022. Her research bridges product design, architectural space, and technology, focusing on how physical environments stimulate creativity and design processes across functional, emotional, and cognitive dimensions. Key areas include generative AI applications in design, innovative research methodologies, and creative workspace design. She developed methods like the 'Delphi Design Sprint' and contributed to frameworks such as the FOD (Future-Oriented Design) model. Thoring is a member of prominent design societies (DGTF, Design Society, DRS) and a founding member of the Academy of Design Innovation Management (ADIM). Notable awards include the 'Best Paper Award' at ADIM Conference (2017) and recognition as a top early-career researcher (2019). Her work integrates design education innovation, with studies on pedagogical spaces and cross-cultural design thinking. She has published extensively on design knowledge models, creative environments, and future-oriented design strategies.

Steve Luckمشاهده پروفایل

استاد

• Attention
• Working Memory
• Cognitive Neuroscience
• +۳ مورد دیگر

Steve Luck is a Distinguished Professor at the University of California, Davis, holding appointments in the Department of Psychology and the Center for Mind and Brain (CMB). He served as CMB Director from 2009–2019 and is affiliated with the UC Davis MIND Institute and the Center for Neuroscience. His research focuses on attention, working memory, and cognitive dysfunction in psychiatric disorders (e.g., schizophrenia), employing ERP recordings, eye tracking, and behavioral methods. He is a leading developer of ERP methodologies, including the ERPLAB Toolbox and global ERP Boot Camp workshops. Education: Ph.D., Neurosciences, UC San Diego, 1993 M.S., Neurosciences, UC San Diego, 1989 B.A., Psychology, Reed College, 1986 Research Interests: Dr. Luck explores mechanisms of cognitive control, with a focus on working memory's role in guiding attention. His lab investigates ERP correlates of attentional deficits in schizophrenia and develops standardized ERP protocols. Recent work emphasizes multivariate decoding of EEG signals and transdiagnostic neurocognitive biomarkers. Awards: Troland Award (2001) APA Distinguished Scientific Award (1998) McGuigan Young Investigator Prize (2004) Elected Fellow, Society of Experimental Psychologists and AAAS Teaching & Leadership: Professor Luck pioneered hybrid course formats in Cognitive Science and teaches advanced topics in perception and cognitive neuroscience. He co-founded the UC Davis Cognitive Science major and advocates for innovative undergraduate education models. Labs & Collaborations: The Luck Lab integrates clinical and basic research, collaborating globally on ERP method development and schizophrenia biomarker studies. Key projects include ERP Core resources and the CNTRACS consortium for neurocognitive reliability studies.