جستجوی استاد راهنمای دانشگاهی

Mark D. Grossمشاهده پروفایل

استاد

• Design Methods
• Modular Robotics
• Computational Design
• +۵ مورد دیگر

Mark D. Gross is a Professor of Computer Science and Director of the ATLAS Institute at the University of Colorado Boulder, where he leads an interdisciplinary hub for creativity and invention. His academic journey began at MIT with BS and PhD degrees, followed by faculty roles at Carnegie Mellon University (2004-2013), University of Washington Seattle (1999-2004), and CU-Boulder (1990-1999, 2014-present). As co-founder of Modular Robotics Incorporated and Blank Slate Systems LLC, he bridges academia and entrepreneurship. Education: BS and PhD in Computer Science from MIT Gross’ research spans design methods, modular robotics, computational design tools, and tangible interaction. He pioneered sketch recognition software like 'The Electronic Cocktail Napkin' and explores physical computing through projects such as shape-changing interfaces, interactive construction kits, and augmented reality systems. His work integrates IoT, digital fabrication, and educational technology. Recent publications highlight innovations in AR/VR collaboration, shape-changing robotics, and interactive fabrication. Key themes include climate communication through data physicalization, AI-driven creative systems, and soft robotics for dynamic interfaces. Despite no explicit awards listed, his career demonstrates sustained impact through ACM conference leadership (Creativity and Cognition 2009, TEI 2011) and industry partnerships. Gross’ prior industry experience includes positions at Atari Cambridge Research and Logo Computer Systems. His lab at ATLAS fosters radical creativity through projects like PaperMech, DynaBlock, and WearAir, emphasizing hands-on learning and cross-disciplinary experimentation.

Theodora Varvarigouمشاهده پروفایل

استاد

• Cloud Computing
• Multimedia Content Processing
• Social Networking Technologies
• +۳ مورد دیگر

Theodora Varvarigou is a Professor in the Department of Electrical and Computer Engineering at the National Technical University of Athens (NTUA). She holds a B.Eng. from NTUA and M.Eng. and Ph.D. degrees from Stanford University. Her career includes research at AT&T Bell Labs and roles at the Technical University of Crete. From 2008-2012, she served as director of NTUA's 'Technoeconomic Systems' postgraduate program. Her research focuses on Cloud Computing, Multimedia Content Processing, Social Networking Technologies, and emerging areas like blockchain, edge computing, and cybersecurity. She has published over 200 papers and led numerous European research projects, emphasizing scalable systems, data management, and smart infrastructure applications. Her work spans technical innovations such as intrusion detection systems, edge resource optimization, and blockchain-based solutions for IoT, healthcare, and smart cities. Recent publications highlight advancements in AI-driven resource allocation, privacy-preserving blockchain designs, and predictive analytics for edge computing environments. Professor Varvarigou has contributed to interdisciplinary initiatives, including cohort data harmonization in biomedical research and social media analytics for urban planning. Her teaching includes courses on digital systems, network programming, and fault-tolerant systems.

Hui Luanمشاهده پروفایل

استادیار

• Spatial Epidemiology
• Bayesian Spatiotemporal Statistics
• Geographical Information Science (GIS)
• +۴ مورد دیگر

Hui Luan is an Assistant Professor in the Department of Public Health at the Peter O’Donnell Jr. School of Public Health, UT Southwestern Medical Center. He joined UT Southwestern in 2024 after serving as an Associate Professor (tenured) at the University of Oregon (2018–2024). His research focuses on spatial epidemiology, Bayesian spatiotemporal statistics, and GIS applications to address health disparities and environmental determinants of disease. Education: Ph.D. in Planning, University of Waterloo, 2017 M.S. in Cartography and GIS, Wuhan University, 2011 B.S. in GIS, Wuhan University, 2009 Research Interests: Dr. Luan investigates spatial and temporal variations in health outcomes, particularly HIV incidence, and the role of social, physical, and built environments. He develops Bayesian models and spatial analytics to inform geographically tailored interventions. Current projects include optimizing PrEP accessibility, analyzing food environment equity, and leveraging spatial data science for public health policy. Key Achievements: Lead investigator of an NIH-funded R01 project on reducing HIV incidence via spatial data science Editorial board member of Spatial and Spatiotemporal Epidemiology Recipient of the Vu Fellowship (2021–22) Teaching: Teaches courses on GIS in Public Health, Spatial Analysis, and Big Data applications in geography. Recent courses include GIS and Public Health and Spatial and Spatiotemporal Analysis at the University of Oregon. Labs/Teams: Leads the Spatial Data Science Lab focused on advancing Bayesian methods for health data analysis and promoting GIS applications in public health practice.

Ryan Giordanoمشاهده پروفایل

استادیار

• Bayesian Statistics
• Machine Learning
• Variational Methods
• +۴ مورد دیگر

Ryan Giordano is an Assistant Professor in the Department of Statistics at the University of California, Berkeley. He holds a PhD in Statistics from UC Berkeley (2019), advised by Michael Jordan, Tamara Broderick, and Jon McAuliffe, an MSc in Econometrics and Mathematical Economics from the London School of Economics (2009), and undergraduate degrees in Mathematics and Theoretical/Applied Mechanics from the University of Illinois at Urbana-Champaign. Prior to academia, he worked as an engineer at Google and HP and served as a Peace Corps volunteer in Kazakhstan. His research focuses on variational methods , Bayesian robustness , sensitivity analysis , and statistical computing , with applications in machine learning, environmental science, and astronomy. He is particularly known for developing scalable Bayesian inference techniques and quantifying the robustness of statistical models to data perturbations. Giordano’s recent work includes studies on Laplace approximation accuracy, MCMC sensitivity to data removal, and robustness metrics for differential expression analysis. He has contributed to open-source statistical software and collaborates with Tamara Broderick’s group at MIT on postdoctoral work (pre-2019 position). His academic trajectory combines theoretical innovation with practical applications, emphasizing reproducibility and computational efficiency in statistical methodology.

Gunnar Anderssonمشاهده پروفایل

استاد

• Demography
• Fertility
• Mortality
• +۶ مورد دیگر

Gunnar Andersson is a Professor of Demography at Stockholm University's Department of Sociology and Head of the Stockholm University Demography Unit (SUDA). He leads research on fertility, migration, mortality, and family dynamics in Nordic contexts, with a focus on register-based methodologies. His work explores socio-demographic shifts, including fertility decline, migrant health outcomes, and the intersection of welfare policies with family formation. University: Stockholm University Department: Department of Sociology Research Group: Stockholm University Demography Unit (SUDA) Research Interests: Gunnar’s work addresses fertility trends in Sweden and the Nordic region, migration’s impact on population health, and the role of socio-economic factors in family dynamics. Key projects include studies on fertility intentions post-2010, mortality disparities among migrants, and the societal implications of declining birth rates. His studies utilize advanced demographic techniques and longitudinal register data for policy-relevant insights. Recent Research Trends: Publications highlight analyses of Nordic fertility decline, socio-demographic risk factors for COVID-19 mortality, and cross-national comparisons of family policies. Collaborative projects with SUDA emphasize multi-generational and spatial demographic shifts, including residential segregation and commuter mobility in urban Sweden. Grants and Collaborations: Lead researcher in projects funded by Swedish Research Council and EU programs. Oversees the Swedish Generations and Gender Survey (GGS), a key infrastructure for demographic research. Directs the SUNDEM node, leveraging Sweden’s administrative registers for demographic innovation. Labs/Teams: Leads SUDA, a multidisciplinary group analyzing population dynamics. Collaborates with international partners in Denmark, Norway, and Germany for comparative studies.

Rikky Mullerمشاهده پروفایل

دانشیار

• Neural Engineering
• Medical Devices
• Low-Power Electronics
• +۶ مورد دیگر

Rikky Muller is an Associate Professor of Electrical Engineering and Computer Sciences at UC Berkeley, holding the S. Shankar Sastry Professorship in Emerging Technologies. She is Co-director of the Berkeley Wireless Research Center (BWRC), a Core Member of the Center for Neural Engineering and Prostheses (CNEP), and an Investigator at the Chan-Zuckerberg Biohub. Her research focuses on implantable/wearable medical devices, low-power wireless systems, and neurotechnology for neurological applications. Education: PhD (2013), UC Berkeley; BS and M.Eng. (2004), MIT, all in EECS. Prior roles include IC designer at Analog Devices and co-founder of Cortera Neurotechnologies (acquired). Research interests include neural interfaces, closed-loop neuromodulation, and biomedical microelectronics. Notable contributions include Neural Dust (ultrasonic implants), wireless EEG systems, and seizure prediction hardware. Awards: MIT TR35 Innovator, NAE Gilbreth Lectureship, NSF CAREER Award, IEEE SSCS New Frontier Award Grants: Bakar Fellows, Hellman Fellowship, NSF CAREER Labs: Muller Lab (UC Berkeley EECS), Chan-Zuckerberg Biohub collaborations

Daniel Wilhelmمشاهده پروفایل

استاد

• Econometrics
• Statistics
• Nonparametric Methods
• +۴ مورد دیگر

Daniel Wilhelm is a Professor of Statistics and Econometrics at LMU Munich, with a courtesy appointment in the Department of Economics. His research focuses on econometric theory, nonparametric methods, measurement error modeling, and statistical inference. He leads the Statistics and Econometrics Group at LMU and holds affiliations with the Centre for Microdata Methods and Practice (CeMMAP), Institute for Fiscal Studies (IFS), and the Centre for Research and Analysis of Migration (CReAM). Wilhelm’s work includes groundbreaking contributions to NPIV estimation, robust statistical testing, and the development of R and Stata packages for rank inference and econometric analysis. His recent publications address topics like rank-based inference, measurement error detection, and high-dimensional independence testing. He organizes academic events such as the Munich Econometrics Seminar and the LMU-Todai Econometrics Workshop. His research emphasizes methodological rigor and practical applications, with a focus on improving statistical techniques for social science and policy analysis.

• International Political Economy
• Development Studies
• Comparative Political Economy
• +۹ مورد دیگر

Samuel Brazys is Associate Professor in the School of Politics and International Relations (SPIRe) at University College Dublin (UCD), where he also serves as Vice Principal for Research, Impact & Innovation in the College of Social Science & Law. He is the Editor of the Journal of International Development and has a strong research profile in international political economy and development. BA in Political Science/Economics, Marquette University MA in Economics, Indiana University MSc in Politics of the World Economy, London School of Economics PhD in Political Science, Indiana University Professional Certificate in University Teaching & Learning, UCD His research focuses on the political economy of development, with emphasis on foreign aid, foreign direct investment, Chinese development finance, and governance. He employs sub-national and spatial analysis methods, often using geo-referenced data to assess local-level impacts of development interventions in Africa, South Asia, and the Pacific. His work bridges comparative and international political economy, international organizations, and development studies. Recent publications reveal a consistent trend in analyzing the spatial and political dimensions of development finance, particularly Chinese aid and FDI, and their effects on conflict, governance, and public perceptions. His work increasingly engages with public diplomacy, as seen in studies on mask diplomacy and wolf warrior rhetoric, using large-scale text analysis of media and social media. Irish Research Council Grant: Trade Related Assistance for Development. Evidence from Micro-Level Evaluations (2018) UCD College of Human Sciences Research Funding Scheme (2015–2016) His research has had significant policy impact, notably cited by the U.S. State Department in decisions regarding Confucius Institutes. He is a member of major professional associations including the American Political Science Association and the International Studies Association. He teaches core modules in International Political Economy, Research Methods, and Governance and Development, and has coordinated thesis and internship programs. He leads a research agenda that critically examines donor behavior, recipient agency, and the political economy of global development, contributing to both academic discourse and policy debates.

Paola Passalacquaمشاهده پروفایل

استاد

• Water Resources Engineering
• Geomorphology
• Hydrology
• +۴ مورد دیگر

Paola Passalacqua is a Professor of Environmental and Water Resources Engineering and Earth and Planetary Sciences at the University of Texas at Austin, holding the L.B. (Preach) Meaders Professorship in Engineering. She leads research at the intersection of water resources engineering, geomorphology, and hydrology, focusing on river networks, coastal restoration, and remote sensing applications. Her work addresses delta dynamics, floodplain connectivity, and community resilience to compound hazards. Dr. Passalacqua earned a PhD in Civil Engineering (2009) and MS in Water Resources from the University of Minnesota, and dual MS/BS in Environmental Engineering from the University of Genoa (2002). Her technical expertise includes hydrological connectivity, network theory, and morphodynamic modeling using LiDAR and satellite data. Research interests emphasize river delta structure/dynamics, floodplain sedimentation, and translating science into community adaptation strategies. She co-developed tools like GeoFlood for large-scale flood mapping and the pyDeltaRCM numerical delta model. Her interdisciplinary approach integrates socio-technical vulnerability analysis with environmental systems. Awards include the endowed Meaders Professorship. Current projects involve coastal Alaska infrastructure resilience, SWOT satellite data applications, and delta sustainability in the Anthropocene. She leads the Passalacqua Research Group, engaging in citizen science through initiatives like UTBiome.

• Agent-Based Modeling
• Socio-Economic Dynamics
• Environmental Resilience
• +۵ مورد دیگر

Dr. Debraj Roy is a Visiting Professor at the University of Amsterdam (UvA), affiliated with the Faculty of Science, Mathematics and Computer Science and the Informatics Institute. His research focuses on agent-based modeling, socio-economic dynamics, environmental resilience, and blockchain technology. He investigates complex systems such as urban slums, disaster recovery, and climate adaptation using computational methods like remote sensing and machine learning. His work bridges theory and practice, offering insights into policy design for sustainable development and social equity. Key research interests include slum dynamics, poverty traps, and the application of blockchain oracles for decentralized systems. He employs advanced techniques such as global sensitivity analysis and manifold learning to explore multi-scale socio-environmental challenges. His recent articles highlight trends in carbon pricing, flood risk valuation, and multi-agent systems. Earlier work concentrated on urban inequality in cities like Bangalore and Mexico City, leveraging geospatial and statistical tools. No scientific awards or grants are explicitly listed. His advising and team collaborations are unspecified in the provided text.

• Asset Pricing
• Real Estate Finance
• Household Finance
• +۲ مورد دیگر

Professor Damian Damianov holds the Chair in Finance at Durham University Business School. His research examines asset pricing anomalies, housing market dynamics, and household financial behavior, with particular focus on boom-bust cycles in real estate and cryptocurrency markets. Methodologies combine econometric analysis with behavioral experiments to study price formation mechanisms. Recent work investigates housing affordability policies, wealth accumulation pathways, and cross-market contagion effects. His laboratory develops novel experimental designs to test auction mechanisms and fundraising strategies for charitable organizations. Current projects analyze: (1) Property tax compliance in shared occupancy arrangements; (2) Uncertainty transmission across cryptocurrency markets; (3) Lifecycle models of household wealth management.

Lynette Cheahمشاهده پروفایل

استاد

• Sustainable Transport
• Smart Cities
• Urban Freight
• +۷ مورد دیگر

Professor Lynette Cheah is a leading academic in sustainable transport, holding the position of Professor and Chair of Sustainable Transport at the University of the Sunshine Coast (UniSC), Queensland, Australia. She directs the Sustainable Mobility Research Laboratory, focusing on data-driven models and digital tools to reduce transport environmental impacts. Her expertise spans smart cities, urban freight, transport modeling, and policy assessment. Educations: PhD in Engineering Systems (MIT) MSc in Management Science and Engineering (Stanford University) BSc in Civil and Environmental Engineering (Northwestern University) Research Interests: Lynette’s work integrates interdisciplinary approaches to address sustainable mobility challenges. Key areas include electric mobility, low-carbon transport infrastructure, transport equity, urban freight optimization, and climate policy. She collaborates with urban planners, computer scientists, and policymakers to translate research into real-world impact, such as leading UN climate reports and advising Singapore’s Public Transport Council (2019–2024). Publications & Awards: Lynette has authored over 70 peer-reviewed articles, including high-impact journals like Transportation Research and Nature Energy . Notable awards include the 2023 TRB Best Applied Research Paper Award and the 2020 Graedel Prize. Her work has been featured in CNN, Nature, and ChannelNewsAsia. Grants & Collaborations: Current projects include electric mobility lifecycle assessments, universal basic mobility trials, and low-carbon transport infrastructure studies. Past collaborations include foresight studies for Singapore’s 2040 urban mobility vision and material flow analyses for vehicle lightweighting. Labs & Teams: She leads the Sustainable Mobility Research Laboratory at UniSC, fostering innovation in smart city technologies and sustainable transport systems.

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.