جستجوی استاد راهنمای دانشگاهی

Weiwei Huمشاهده پروفایل

استاد

• Applied Mathematics
• Partial Differential Equations
• Mathematical Control Theory
• +۳ مورد دیگر

Weiwei Hu is a Professor in the Department of Mathematics at the University of Georgia, specializing in applied mathematics with a focus on control theory and fluid dynamics. Her research bridges theoretical analysis and computational methods to address complex problems in partial differential equations and optimal control systems. She received her Ph.D. in Mathematics from Virginia Tech, establishing the foundation for her expertise in mathematical modeling and analysis. Her educational background directly informs her innovative approaches to fluid dynamics and control problems. Professor Hu's research spans approximation and mathematical control theory of partial differential equations, optimal control of transport and mixing via fluid flows, well-posedness and long-time behavior of mathematical fluid dynamics, data-driven optimal control for network dynamics, computational methods for model reduction, and reliability analysis of renewable systems. She develops advanced theoretical frameworks and numerical algorithms to solve boundary control problems in Stokes and Navier-Stokes flows, with applications in engineering and environmental systems. Her publication record from 2018-2023 reveals consistent advancement in fluid flow control, particularly in optimal mixing and transport phenomena. She has pioneered numerical methods for boundary control of fluid systems while expanding into data-driven approaches for network dynamics and renewable energy applications. Her collaborative work with institutions including Kansas State University, Missouri S&T, and Carnegie Mellon University demonstrates the interdisciplinary impact of her research. Her scientific contributions have been recognized with the prestigious Humboldt Research Fellowship for Experienced Researchers in 2024. Professor Hu has secured over $1.5 million in research funding as principal investigator from NSF, AFOSR, and DARPA, including a 2023-2026 AFOSR grant on hybrid control of semi-dissipative systems and multiple NSF collaborative projects addressing deep-learning-enabled optimization for power systems and computational methods for optimal transport. Her grant portfolio reflects leadership in securing competitive funding for high-impact mathematical research. She actively collaborates with researchers across the United States and Europe on interdisciplinary projects integrating PDE modeling, machine learning, and topology analysis for applications in MRI analysis and renewable energy systems, demonstrating strong leadership in collaborative mathematical research.

Alex Whiteمشاهده پروفایل

مدرس ارشد

• Thermofluids
• Two-Phase Flow
• Thermodynamics
• +۶ مورد دیگر

Dr. Alex White is a Senior Lecturer in Thermofluids at the Department of Engineering, Cambridge University, and a Fellow and Director of Studies at Peterhouse. He earned his undergraduate and PhD degrees from King's College, Cambridge, and conducted postdoctoral research in Cambridge, Lyon, and Toulouse before returning to Cambridge in 2000 as part of the Energy Group. His research focuses on two-phase flow (vapour-droplet flows), thermodynamics of power generation, Computational Fluid Dynamics (CFD), and heat pumps. His work includes theoretical and numerical studies on warm dense matter, electron transport, and energy storage systems like pumped thermal and compressed air storage. Recent publications emphasize warm dense matter physics, inertial confinement fusion, and thermal energy storage innovations. His theoretical analyses and simulations span high-energy-density plasmas, nonlocal electron stopping power, and hybrid energy systems. While no scientific awards are documented, his contributions to thermofluids and extreme condition physics are significant.

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۹ مورد دیگر

Professor Sule Yildirim Yayilgan is a distinguished academic at the Department of Information Security and Communication Technology (IIK) within the Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU) in Gjøvik. She has held the position of Professor since 2020, following her tenure as Associate Professor from 2016-2020. Dr. Yayilgan previously served as Head of Department between 2005-2009 at HIHM (now part of NTNU). Her academic journey spans over 30 years in teaching and research, with significant contributions to interdisciplinary fields bridging AI, cybersecurity, and privacy. Her educational background includes a MSc in Computer Engineering (1995) and a PhD in Artificial Intelligence and Computer Science (2002). Dr. Yayilgan has led and participated in numerous international research projects funded by EU Horizon 2020, Eurostars, Erasmus+, and various Norwegian research councils. She currently leads the MR PET (Multidisciplinary Research group on Privacy and data protEcTion) research group and serves on the scientific board of NTNU's strategic area in Data Science. Dr. Yayilgan's research spans multiple domains with a unifying focus on ethical, legal, and privacy-preserving AI systems. Her work addresses critical challenges in health, energy, education, and security sectors through advanced AI methodologies. She has published over 100 journal and conference papers, with recent work focusing on hate speech detection, border security technology acceptance, smart grid security, and explainable AI applications. Her publications demonstrate a strong emphasis on practical implementations that balance technical innovation with societal considerations. As an active research leader, she currently oversees several significant projects including VIPA-DELF (vineyard disease detection using federated learning), METICOS (border control technology monitoring), CINELDI (intelligent electricity distribution), and AQMA (air quality monitoring). She also serves on multiple ethics boards and research integrity committees, reflecting her commitment to responsible innovation. Dr. Yayilgan has supervised numerous graduate students throughout her career, advising 41+2 (in progress) MSc students and 3+2 (periods) +6 (in progress) PhD candidates. Her administrative contributions include membership in NTNU's Research Integrity Committee, the Trondheim ACM Women Chapter, and various project management boards for EU-funded initiatives. She maintains active professional affiliations with IEEE, the International Association for Pattern Recognition, and COST Actions focused on language technologies and security research.

Laura Zapfeمشاهده پروفایل

پژوهشگر

• Educational Inequalities
• Social Science Sustainability Research
• Quantitative Empirical Social Research
• +۱ مورد دیگر

Dr. Laura Zapfe is a Researcher at the Institute of Political Science and Sociology within the Faculty of Human Sciences at Julius-Maximilians-University Würzburg. She serves as a member of the Chair of Methods of Quantitative Empirical Social Research and coordinates internships at the institute. Academic Affiliation: University of Würzburg Research Focus: Social inequalities, educational equity, and sustainability research Teaching: Supervision of quantitative-empirical theses and organization of international summer modules Committee Roles: Member of the Gender Working Group and IPS leadership team Research Interests center on educational inequalities, particularly in sustainability contexts. Her work examines how systemic barriers affect educational outcomes and integrates quantitative methods with social science sustainability frameworks. She analyzes structural factors in educational systems and their intersection with environmental justice. Article Trends reveal a focus on sustainability science (40%), educational sociology (30%), and quantitative research methodologies (30%). Recent publications emphasize UN sustainability goals, digital divides in education, and pandemic impacts on learning systems. Advisory Roles include thesis supervision for bachelor's and master's students, with a preference for quantitative-empirical approaches. She has organized international virtual teaching modules and participates in interdisciplinary sustainability networks.

Saurabh Aminمشاهده پروفایل

استاد

• Infrastructure Systems
• Network Resilience
• Control Theory
• +۷ مورد دیگر

Saurabh Amin is the Edmund K. Turner Professor in Civil Engineering at the Massachusetts Institute of Technology (MIT) . He serves as the Director of the Henry L. Pierce Laboratory for Infrastructure Science and Engineering and the Undergraduate Officer in the Department of Civil and Environmental Engineering (CEE). He is affiliated with the Laboratory for Information and Decision Systems (LIDS) , Operations Research Center (ORC) , Institute for Data, Systems and Society (IDSS) , and Center for Computational Science and Engineering (CCSE) . Education: B.Tech. in Civil Engineering, Indian Institute of Technology (IIT) Roorkee, 2002 M.S. in Transportation Engineering, University of Texas at Austin, 2004 Ph.D. in Systems Engineering, University of California (UC) Berkeley, 2011 Research Interests focus on combining control theory , game theory , and optimization to address challenges in resilient infrastructure systems . His work emphasizes: Resilient Network Control for highway transportation, electric power distribution, and urban water networks Information Systems and Incentive Design to improve public goods under strategic entities Optimal Resource Allocation for restoring systems after natural disasters or attacks He explores cyber-physical interactions in infrastructure, aiming to rigorously model vulnerabilities and develop implementable solutions for operators. Scientific Awards include: Common Ground Excellence in Teaching Award (2025) HSCC Test-of-Time Award (2024) MIT CEE Distinguished Service and Leadership Award (2023) Samuel M. Seegal Prize (2022) NSF CAREER Award (2015) His research has been supported by grants from the National Science Foundation , Google , DoD-Science of Security Program , AFOSR , Siebel Energy Institute , and C3.ai Digital Transformation Institute .

Laura Tachمشاهده پروفایل

استاد

• Urban Poverty
• Family Demography
• Neighborhood Inequality
• +۴ مورد دیگر

Laura Tach is Professor of Public Policy and Sociology at Cornell University's Brooks School of Public Policy and Department of Policy Analysis and Management. She co-directs Cornell Project 2Gen, a research hub at the Bronfenbrenner Center for Translational Research focused on supporting vulnerable caregivers and children through integrated policy and practice solutions. Her educational background includes a Ph.D. in Sociology and Social Policy from Harvard University (2010), preceded by a postdoctoral fellowship at the University of Pennsylvania as a Robert Wood Johnson Foundation Scholar. Tach's research examines urban poverty, family demography, and neighborhood inequality through mixed-methods approaches. She investigates how public policies interact with family dynamics and neighborhood conditions to reproduce or mitigate inequality, with particular focus on housing interventions, welfare reform, and two-generation approaches to poverty alleviation. Her work bridges sociological theory with actionable policy insights. Analysis of her 15 most recent publications reveals consistent engagement with place-based inequality, family complexity in low-income contexts, and the intergenerational transmission of disadvantage. Key thematic clusters include opioid crisis impacts on families, historical redlining effects, intra-household financial dynamics, and innovative two-generation policy frameworks. Robert Wood Johnson Foundation Postdoctoral Scholar Tach leads significant grant-funded research, including a multi-year William T. Grant Foundation project examining opioid abuse and child maltreatment in partnership with Cornell Cooperative Extension of Tompkins County. Her work emphasizes translating research into practice through Project 2Gen, which collaborates with policymakers and practitioners to develop family-centered interventions. She has received substantial funding for studies on housing policy impacts and neighborhood change. As co-director of Cornell Project 2Gen, Tach oversees a multidisciplinary team integrating sociology, public policy, and translational research. The initiative partners with community organizations and government agencies to implement and evaluate two-generation approaches that simultaneously address caregiver and child needs within vulnerable families.

Étienne Rivardمشاهده پروفایل

دانشیار

• Francophonie of the Americas
• Mixed Studies
• Migrations, settlements, cultural contacts
• +۴ مورد دیگر

Dr. Étienne Rivard is an Associate Professor in the Department of Social Sciences and Humanities at the University of Saint-Boniface. Specializing in the geographies of Francophonie in the Americas, his research focuses on Métis identities, colonial spatial practices, and cultural interactions through time. He teaches courses ranging from introductory geography to specialized topics in political geography and intercultural relations. Active in the Center for Research on Territorial Development (CRDT) as a collaborating member Affiliated researcher at the Centre for Research in French-Canadian Civilization (CRCCF) Associate researcher at the Lab for Studies on Brazil, France and the French-speaking World Associate Researcher at the Tier 1 Canada Research Chair on Migration, Circulation and Francophone Communities Research Interests: His work examines the spatial dimensions of Métis identity formation, francophone migration patterns, and the interplay between territorial appropriation and cultural diversity. He employs historical cartography, census analysis, and oral geography methodologies to uncover the colonial legacies shaping contemporary minority francophone communities. Grant Activity: Dr. Rivard has secured significant funding through SSHRC Partnership Grants and Canadian federal immigration programs. His research explores francophone mobility patterns, textbook circulation networks, and the development of cultural identity measurement tools in minority contexts. Community Engagement: He actively participates in public lectures, media interviews, and policy discussions regarding Métis history, francophone immigration, and decolonization efforts, including appearances on Radio-Canada and participation in Manitoba Integration Summits.

Qiang Zhangمشاهده پروفایل

مدرس ارشد

• Gas Turbine Heat Transfer
• Aerodynamics
• Conjugate Heat Transfer
• +۳ مورد دیگر

Dr Qiang Zhang is a Senior Lecturer at the School of Mathematics, Computer Science and Engineering at City, University of London. His career spans leading academic and research roles at the University of Michigan - Shanghai Jiao Tong University Joint Institute, University of Oxford, and the University of Utah. He holds a PhD in Mechanical Engineering (2005) and an MSc in Thermal Engineering (1996, 1993) from Dalian University of Technology. Key Affiliations : City, University of London (Reader, 2020–present; Lecturer, 2014–2020); University of Michigan - SJTU Joint Institute (Associate Professor, 2011–2014); University of Oxford (Research Staff, 2006–2011); University of Utah (Research Assistant Professor, 2005–2006). Research Interests focus on high-speed gas turbine heat transfer, aerodynamics, and cooling systems. He pioneered dynamic thermal management techniques like unsteady conjugate cooling and Turbo Heat Exchanger (patented 2022), which are transforming coolant efficiency in aerospace and electronics. His work bridges experimental methods (e.g., transient thermal measurements, wind tunnel development) with computational fluid dynamics (CFD) validation. Publications & Impact include over 95 documents with 2,365 citations and an h-index of 25. His 15 most recent articles (2009–2025) reveal a trend toward intermittent impingement cooling , ribbed/grooved surface optimization , and shock wave control . These span disciplines like mechanical engineering, fluid dynamics, and thermal systems design. Awards & Recognition : ASME Fellow (2019) Rolls-Royce Award to Inventors (2013) ASME Turbo Expo Best Paper Awards (2016, 2017) ASME Journal of Heat Transfer Outstanding Reviewer (2012) Oxford University Award of Merit Review (2007) Professional Contributions include editorial roles (ASME Journal of Thermal Science and Engineering Applications, Aerospace Special Issues) and committee membership in the ASME K-14 Heat Transfer division since 2011. He leads an EPSRC project on unsteady cooling mechanisms and is commercializing a patented Turbo Heat Exchanger through a spin-off company.

R.R. Negenbornمشاهده پروفایل

استاد

• Transport Engineering
• Logistics
• Autonomous Vessels
• +۷ مورد دیگر

Professor R.R. Negenborn is affiliated with Delft University of Technology, specializing in Transport Engineering and Logistics. His research spans autonomous shipping, inland waterway transport, and sustainable logistics solutions. Current projects: PATH2ZERO (Zero-Emission Inland Shipping), AUTOBarge (European Training Network), READINESS (Adaptable Ship Designs), and NOVIMOVE (Innovative Freight Transport). Key research areas: control systems, vessel dynamics, optimization, collision avoidance algorithms, and energy-efficient marine technologies. His editorial roles include contributions to Springer publications and Lecture Notes in Computer Science . Collaborations highlight expertise in integrating automated vehicles with conventional transport systems and advancing resilient inland shipping frameworks.

• Data Modeling
• Data Security and Privacy
• Healthcare Data Management
• +۵ مورد دیگر

Faiz Currim serves as Professor of Practice in Management Information Systems and Assistant Director of the INSITE: Center for Business Intelligence and Analytics at the University of Arizona's Eller College of Management. He joined the institution in 2011 after six years at the University of Iowa, having earned his PhD from the University of Arizona in 2004. His educational background includes: PhD in Management Information Systems, University of Arizona (2004) Dr. Currim's research focuses on data modeling, security, privacy, and specialized management of healthcare, temporal, and spatial data systems. His work bridges database theory with practical applications in urban mobility, patient care, and workplace wellbeing through advanced techniques including deep learning, network science, and big data analytics. Current projects address real-world challenges in healthcare analytics and smart city infrastructure. Analysis of his recent publications reveals strong trends in applying artificial intelligence to healthcare cost prediction and urban transportation systems, with consistent use of heterogeneous data sources and machine learning frameworks across diverse domains from patient monitoring to bike-sharing optimization. His scientific recognition includes: Best Paper Award at IEEE 2nd International Smart Cities Conference (2016) Dr. Currim directs the INSITE center's initiatives in business intelligence while teaching core courses including Enterprise Data Management and Business Data Communications. His academic leadership spans curriculum development in data security, XML schema, and spatial database applications, with active collaboration across healthcare and urban planning domains. He maintains leadership roles in professional organizations including the Association for Information Systems (AIS), INFORMS, and Association for Computing Machinery (ACM), driving interdisciplinary research through the INSITE center's industry partnerships and analytics projects.

• Concrete Engineering
• Alkali-Aggregate Reactions
• Material Science
• +۳ مورد دیگر

Jan Lindgård is a Researcher at the Department of Structural Engineering , Norwegian University of Science and Technology (NTNU). His work focuses on alkali-aggregate reactions (AAR) and concrete durability, with particular emphasis on alkali-silica reactions (ASR) and pyrrhotite-induced degradation in concrete structures. Key Research Areas: Concrete durability, AAR/ASR mechanisms, accelerated testing methods, alkali leaching, microstructural analysis. Collaborations: Active in RILEM Technical Committee 258-AAA, SINTEF, international institutions. His recent publications analyze pyrrhotite quantification in aggregates, ASR damage assessment in dams, and validation of CEN/RILEM testing standards. He investigates alkali release mechanisms and their impact on concrete performance through both field surveys and laboratory experiments. Scientific activities include: Co-authoring multiple Academic Articles and Technical Reports Contributing to RILEM STAR Reports and Guidelines Participating in Norwegian Infrastructure Projects like COIN and PARTNER Projects address ASR mitigation via low-alkali cements, silica fume additives, and field-lab correlation studies. His work informs Norwegian concrete standards and international AAR prevention strategies.

Alan L. Kolataمشاهده پروفایل

استاد

• Archaeology
• Ethnohistory
• Preindustrial Urbanism
• +۱۰ مورد دیگر

Alan L. Kolata serves as the Bernard E. and Ellen C. Sunny Distinguished Service Professor in the Department of Anthropology at the University of Chicago, with additional affiliations through the Committee on Southern Asian Studies and the Committee on Environment, Geography and Urbanization. His academic foundation includes a PhD from Harvard University (1978), establishing his expertise in archaeological and anthropological methodologies. Dr. Kolata's research spans archaeology and ethnohistory, preindustrial urbanism, agricultural systems, and human-environment interactions, with regional focus on the Andes, Mesoamerica, and Southeast Asia. His recent work emphasizes agroecological systems, the human dimension of global change, and urban social ecology, particularly through the Cambodia Project which investigates socio-ecological transformations in the Lower Mekong Basin. His interdisciplinary approach integrates environmental science, anthropology, and development studies to analyze ancient civilizations and contemporary migration patterns. His publication record reveals consistent focus on Andean civilizations (especially Tiwanaku and Inca) and Southeast Asian environmental dynamics, with increasing emphasis on climate change impacts and rural-urban migration since 2010. Recent works demonstrate sophisticated integration of hydrological modeling, paleoenvironmental data, and ethnographic fieldwork. His primary scientific recognition includes the Bernard E. and Ellen C. Sunny Distinguished Service Professorship. Bernard E. and Ellen C. Sunny Distinguished Service Professorship Dr. Kolata has secured significant funding from the Neubauer Collegium, Center for International Social Science, Social Science Research Center at the University of Chicago, and National Science Foundation. His research group employs mixed-method approaches including household surveys, socio-economic censuses, and distributed ethnography to study environmental transformation, migration, and urbanization, particularly examining how large-scale infrastructure projects reshape human-environment relationships. He directs the Cambodia Project Research team, which investigates lived experiences of rural-to-urban migrants, analyzing economic, environmental, and social drivers of migration while documenting changing connections to place and community in the context of dam construction and economic transformation.

Carl R Schmidtمشاهده پروفایل

دانشیار

• Particle Physics
• Theoretical High Energy Physics
• Quantum Chromodynamics
• +۴ مورد دیگر

Carl R Schmidt is an Associate Professor in the Department of Physics & Astronomy at Michigan State University, where he conducts theoretical research in high-energy particle physics with a focus on quantum chromodynamics and proton structure. His work is central to advancing precision predictions for collider experiments worldwide. Education: Ph.D. in Physics, Harvard University (1990) Dr. Schmidt's research program revolves around parton distribution functions (PDFs) and their applications in high-energy collisions. As a key member of the CTEQ collaboration, he develops global QCD analyses (including CT10, CT14, and CT18 PDF sets) that incorporate data from the LHC, HERA, and fixed-target experiments. His expertise spans Higgs boson production mechanisms, electroweak symmetry breaking in beyond-Standard-Model scenarios (particularly little Higgs models), top quark physics, and photon-induced processes. His theoretical frameworks directly enable precision tests of the Standard Model and searches for new physics at energy frontiers. Analysis of his 15 most recent publications (2019-2024) reveals a dominant focus on reducing PDF uncertainties through novel methodologies and incorporation of high-precision LHC data. Key themes include the determination of photon content within the proton, NNLO corrections to global fits, and applications to critical measurements like the weak mixing angle and Higgs cross-sections. His work bridges theoretical developments with experimental requirements, particularly for ATLAS and CMS collaborations. Scientific awards: No awards or fellowships were documented in available sources While specific student mentorship details are absent from current records, his active role in the CTEQ collaboration—which involves extensive international collaboration and training—suggests significant contribution to graduate education. Research funding is inferred through CTEQ's institutional support from the U.S. Department of Energy and National Science Foundation, though specific grants aren't itemized in the source material. Dr. Schmidt operates within the CTEQ framework, a major international consortium connecting theorists and experimentalists to refine QCD understanding. This collaboration maintains vital links with LHC experiments and drives community-wide efforts in PDF development through regular workshops and shared computational frameworks.

Ignacio Cascos Fernandezمشاهده پروفایل

دانشیار

• Multivariate Analysis
• Probability Theory
• Data Depth
• +۷ مورد دیگر

Ignacio Cascos Fernandez is an Associate Professor at the Department of Statistics, School of Engineering, Carlos III University of Madrid. His research focuses on Multivariate Analysis (depth functions, multivariate quantiles) and Probability Theory (stochastic orders, random sets, financial risk measures). Key Research Areas Multivariate analysis with emphasis on data depth and quantiles Probability theory involving stochastic orders and random sets Applications to financial risk modeling and statistical process control Notable Awards IASC ERS Young Researchers Award (2006) Elected member of the International Statistical Institute (2008) PhD Supervision Advised José Manuel Cueto (2021) on multifactor models for equity returns Advised Maicol Ochoa (2022) on expectiles and multivariate analysis Recent Projects Developed data depth methodologies for biological age prediction Created statistical tools for complex data in finance and real estate analysis

Felix Zwiesمشاهده پروفایل

پژوهشگر

• Health Economics
• Behavioral Economics
• Environmental Economics
• +۱ مورد دیگر

Felix Zwies is a Researcher at the Chair of Empirical Microeconomics within the Faculty of Law, Economics and Business at Martin Luther University Halle-Wittenberg. His work bridges economics with public health, behavioral science, and environmental policy. Education: M.Sc. (unspecified field) Contact: Room 232, Große Steinstraße 73, 06108 Halle (Saale), Germany | felix.krueger@wiwi.uni-halle.de Research interests focus on: Health Economics: Analyzing economic impacts on healthcare decisions and outcomes. Behavioral Economics: Exploring individual decision-making in health and environmental contexts. Environmental Economics: Studying economic responses to natural disasters and climate-related risks. Applied Microeconometrics: Applying statistical methods to assess causal relationships in health and behavioral data. Recent publications highlight themes such as pandemic voting behavior, disaster impacts on disease transmission, and risk preference uncertainties. His work often employs mixed-method approaches, combining surveys, experiments, and empirical modeling.