جست‌وجوی استاد و پژوهشگر

Esra Agca Aktuncمشاهده پروفایل

مدرس ارشد

• Optimization
• Simulation
• Data Analytics
• +۵ مورد دیگر

Esra Agca Aktunc serves as a Senior Lecturer in the Department of Industrial and Systems Engineering at Rensselaer Polytechnic Institute (RPI), teaching core courses including Introduction to ISE, Production and Operations Management, Facilities Design, Operations Research Methods, and Engineering Data Analytics across undergraduate and graduate programs. Her educational qualifications include: Ph.D. in Industrial and Systems Engineering from Virginia Polytechnic Institute and State University (2013) M.Sc. in Industrial and Systems Engineering from Virginia Polytechnic Institute and State University (2011) B.Sc. in Industrial Engineering from Bilkent University (2008) Dr. Agca Aktunc's research integrates optimization, simulation, and data analytics across disaster management, healthcare systems, and energy systems . Her work addresses critical challenges including hospital evacuation logistics, pandemic impacts on energy infrastructure, and natural gas management under uncertainty, employing advanced analytical methods to solve resource-constrained real-world problems in dynamic environments. Publication analysis reveals a strategic research evolution: early work (2013-2019) focused on disaster response logistics and healthcare operations, while recent publications (2020-2025) demonstrate increased specialization in energy systems, particularly electricity and natural gas demand forecasting during crises like the COVID-19 pandemic. This progression highlights her adaptive application of operations research to emerging societal challenges. No scientific awards were mentioned in the provided text. Information regarding student advising and research grants was not included in the available materials, though her extensive teaching portfolio indicates significant educational contributions.

Irwin Youseptمشاهده پروفایل

استاد

• Electromagnetics
• Numerical Analysis
• Optimization
• +۳ مورد دیگر

Prof. Dr. Irwin Yousept is a Full Professor of Mathematics at Universität Duisburg-Essen, leading the research group AG Optimal Control of Partial Differential Equations. His work focuses on the mathematical analysis and numerical solutions of electromagnetic problems, particularly in superconductivity and inverse problems. He holds a PhD from TU Berlin (2008) and has held academic positions at TU Darmstadt and TU Berlin. His research includes PDE-constrained optimization, numerical analysis, and applications in high-temperature superconductivity and electromagnetic shielding. Affiliations: Universität Duisburg-Essen, Fakultät für Mathematik Education: Diplom (2005), PhD (2008) in Mathematics from TU Berlin Research interests span Maxwell's equations, numerical methods for PDEs, and optimal control, with applications in superconductivity, electromagnetic shielding, and induction heating. He has authored over 40 publications and received awards including the Richard-von-Mises-Preis GAMM (2014). Current grants include DFG-funded projects on inverse problems and superconductivity.

Gaofeng Jiaمشاهده پروفایل

دانشیار

• Structural Engineering
• Risk Assessment
• Infrastructure Resilience
• +۴ مورد دیگر

Gaofeng Jia is Associate Professor in Civil and Environmental Engineering at Colorado State University's Walter Scott, Jr. College of Engineering. He specializes in natural hazard risk assessment, infrastructure resilience, and uncertainty quantification. Research integrates simulation-based approaches with high-performance computing for assessing complex engineering systems. Core areas include infrastructure deterioration modeling, wave energy converter optimization, tsunami evacuation planning, and surrogate modeling techniques. Recent work emphasizes physics-informed machine learning for engineering applications. Publications demonstrate consistent methodological innovation in uncertainty quantification across domains including seismic engineering, coastal hazards, renewable energy systems, and structural reliability. Articles employ advanced computational statistics, Bayesian methods, and multi-fidelity modeling. Young Researcher Best Paper Award Best Student Paper Award

• Immunology
• Systems Biology
• Genomics
• +۴ مورد دیگر

Dr. Masahiro Ono is a Reader in Immunology at Imperial College London's Department of Life Sciences, within the Faculty of Natural Sciences. He leads research on T-cell regulation, focusing on autoimmunity, infections, and cancer. His lab pioneered the Tocky system, using Fluorescent Timer proteins to study T-cell activity dynamics in vivo. Dr. Ono holds affiliations with the CRUK Convergence Science Centre, Infection and Immunity, and Integrative Systems Biology. His academic journey includes an MD from Kyoto University (1993-1999) and a PhD in regulatory T cells (2002-2006). He was awarded a HFSP Fellowship (2009) and BBSRC David Phillips Fellowship (2012), establishing his UCL lab before joining Imperial in 2015. Research Interests : Dr. Ono's work bridges immunology, genomics, and systems biology. His lab explores T-cell activation mechanisms, tumor immunology, and bioinformatics tools for single-cell analysis. Key innovations include the Tocky system for real-time cell kinetics tracking and integrative approaches like GatingTree for cytometry data analysis. Awards : HFSP Fellowship (2009) BBSRC David Phillips Fellowship (2012) Grants & Advising : Dr. Ono's grants have supported projects on viral latency, tumor microenvironment modulation, and immune checkpoint therapies. His lab actively collaborates on translational research, though specific grant details are not listed here. Labs & Teams : His lab at Imperial focuses on Tocky-based technologies and interdisciplinary convergence science through the CRUK Centre. Collaborations span virology, oncology, and bioengineering to address unmet clinical needs in immunotherapy.

András Bárányمشاهده پروفایل

مدرس

• Syntax
• Morphosyntax
• Cross-linguistic variation
• +۵ مورد دیگر

András Bárány is a Lecturer in Linguistics and English Language at the University of Edinburgh's School of Philosophy, Psychology and Language Sciences. His research focuses on cross-linguistic variation in morphosyntactic phenomena, particularly case and agreement systems. He explores theoretical syntax and linguistic typology to understand universal linguistic principles and the limits of variation. Bárány collaborates with institutions like Bielefeld University’s CRC 1646 ‘Linguistic Creativity in Communication’ and the DFG Scientific Network ‘Applicative Alternations Across Languages.’ His academic journey includes postdoctoral roles at Leiden University (Marie Skłodowska-Curie COFUND fellowship), SOAS (AHRC-funded prominent possessors project), and the Research Institute for Linguistics of the Hungarian Academy of Sciences. He earned his PhD from the University of Cambridge, focusing on differential object marking in Hungarian. Research interests span case alignment, ditransitive constructions, morphosyntactic alignment, and the interplay between syntax and information structure. Recent work emphasizes typological gaps in argument structure and the role of analogy in syntactic creativity. His monograph Person, Case, and Agreement (Oxford, 2017) analyzes Hungarian syntax and global case splits. Bárány actively supervises PhD students and maintains an open-door policy via scheduled meetings.

Jennifer Johnson-Hanksمشاهده پروفایل

استاد

• Culture and population
• intentions
• uncertainty
• +۷ مورد دیگر

Jennifer Johnson-Hanks serves as Professor and Executive Dean of the College of Letters & Science at the University of California, Berkeley, holding a joint appointment in the Departments of Sociology and Demography. She currently chairs the Berkeley Division of the Academic Senate, demonstrating significant administrative leadership within the university structure while maintaining active scholarly contributions to demographic theory and methodology. Her educational background includes: BA in Anthropology from University of California, Berkeley MA in Anthropology from Northwestern University PhD in Anthropology from Northwestern University Johnson-Hanks' research examines the intersection of cultural anthropology and demography, with particular focus on how intentions shape family formation and fertility decisions in contexts of uncertainty. Her work integrates ethnographic evidence with demographic analysis to explore life course transitions, especially in sub-Saharan Africa where she has conducted extensive fieldwork on educated women's motherhood timing. Central to her scholarship is the critique of methodological individualism in demographic research, emphasizing how material and schematic structures influence vital events. Analysis of her 2015-2022 publications reveals persistent thematic threads: methodological innovation in measuring intentions, the social construction of statistical norms, and the cultural embeddedness of demographic behavior. Her work consistently challenges assumptions about preference stability while developing frameworks like 'conjunctural action' to integrate social theory with demographic analysis. Regional expertise in African demographic systems informs broader theoretical contributions about how uncertainty shapes life decisions across diverse contexts. While specific advising relationships and grant funding details aren't documented in available sources, Johnson-Hanks' leadership roles and theoretical contributions indicate significant institutional influence. Her directorship of the College of Letters & Science positions her at the nexus of academic administration and demographic scholarship, where she shapes both research agendas and educational infrastructure.

Robert (Rob) J. Franzese, Jr.مشاهده پروفایل

استاد

• Comparative Political Economy
• International Political Economy
• Quantitative Research Methods
• +۵ مورد دیگر

Robert (Rob) J. Franzese, Jr. is a Professor and Associate Chair in the Department of Political Science at the University of Michigan. He also serves as the Edie N. Goldenberg Director of the Michigan in Washington Program and Research Professor at the Center for Political Studies (CPS), Institute for Social Research. His research focuses on comparative and international political economy (C&IPE) of developed democracies, emphasizing the interplay between political and economic institutions, structures, and events on macroeconomic policymaking. Franzese is renowned for his work on spatial-econometric models of interdependence and empirical methodologies in political science. Education: PhD in Government from Harvard University (1996), A.M. in Economics and Government from Harvard (1995 and 1992), and B.A. in Economics and Government from Cornell University (1990, Phi Beta Kappa). He teaches courses on quantitative methods, comparative politics, and political economy. Key affiliations include the ICPSR Summer Program in Quantitative Methods and the Center for Political Studies. His research spans topics such as central bank independence, wage bargaining institutions, and spatial econometrics. He has authored/co-authored numerous books and articles on empirical methodology, policy analysis, and interdependence modeling. His methodological contributions include spatial econometric models, multilevel analysis, and model-based estimation for social science theory (EITM). He has advised on policy issues related to globalization, fiscal policy, and labor markets, with a focus on developed democracies. Fransese has directed the ICPSR Summer Program, which trains researchers in advanced quantitative methods. His work bridges political science and economics, emphasizing interdisciplinary approaches to understanding policymaking dynamics and spatial interdependencies.

Drew Cingelمشاهده پروفایل

دانشیار

• Media Effects
• Child Development
• Adolescent Psychology
• +۵ مورد دیگر

Drew Cingel is an Associate Professor and Graduate Advisor in the Department of Communication at the University of California, Davis. His research focuses on the interplay between human development—particularly child and adolescent development—and media effects, with an emphasis on understanding how developmental stages influence media choices and how media exposure impacts development. He regularly consults with media companies and policymakers to design media that supports healthy child and adolescent development. Education: Ph.D., Media, Technology, and Society, Northwestern University, 2016 M.A., Communication, Wake Forest University, 2012 B.A. (two degrees), Media Effects and Psychology, Pennsylvania State University, 2010 Research Interests: Effects of social media on adolescent mental health Children’s learning from media (e.g., television, tablets) Moral reasoning development through media exposure Parental mediation strategies for media use His work bridges experimental and survey methodologies, often addressing societal concerns about digital media’s role in youth development. Publications & Trends: Recent articles explore personalized social media algorithms’ impact on minors, cross-cultural comparisons of media use during the pandemic, and the validation of moral intuition measurement tools. His research consistently highlights the dual-edged nature of media: while media can foster learning and moral development, it also poses risks like mental health challenges and social comparison effects. Teaching & Advising: Teaches CMN 147 (Children, Adolescents, and the Media) and CMN 141 (Media Effects). As Graduate Advisor, he mentors students in communication studies and supports academic programs. Labs & Teams: Affiliated with UC Davis’ Media Labs, which investigates digital media’s societal impacts. Collaborates with the Human Development Graduate Group to integrate interdisciplinary perspectives.

• Astroparticle Physics
• Dark Matter
• Particle Physics
• +۳ مورد دیگر

Riccardo Catena is a Professor in Physics at the Department of Physics, Chalmers University of Technology, Sweden. He leads a research group comprising 1 postdoc, 2 PhD students, and 1-4 master students annually. His academic credentials include a 2014 habilitation (venia legendi) from the University of Göttingen and promotion to docent at Chalmers in 2016. He is an elected member of the IUPAP C4 commission on Astroparticle Physics and a founding member of the European Consortium for Astroparticle Theory (EuCAPT). Research focuses on astroparticle physics, intersecting particle physics, astrophysics, and cosmology, with a current emphasis on dark matter. Key interests include modeling dark matter's microscopic properties, predicting observables, and designing experimental tests. His work is funded by the Swedish Research Council and the Knut and Alice Wallenberg Foundation (co-PI). Publications span dark matter detection strategies, material interactions, and theoretical frameworks. Notable projects include studies on graphene detectors, chiral phonons, and liquid xenon observatories. Grants support initiatives like 'Direct Detection of Light Dark Particles' and 'Computational Modeling of Dark Matter-Electron Interactions.' Catena's advisory role includes mentoring students and overseeing interdisciplinary collaborations. His research group actively explores experimental and theoretical advancements in dark matter physics, contributing to global efforts in astroparticle theory and detector innovation.

Sharmistha Guhaمشاهده پروفایل

استادیار

• Bayesian Methods
• High-Dimensional Regression
• Causal Inference
• +۴ مورد دیگر

Sharmistha Guha is an Assistant Professor in the Department of Statistics at Texas A&M University, part of the College of Arts & Sciences. Her research focuses on Bayesian methods for analyzing complex, high-dimensional data, with applications in neuroscience, network security, and social sciences. She develops techniques for supervised network data analysis, causal inference, and data privacy preservation. Education: Ph.D. in Statistical Science (Duke University, implied by dissertation recognition). Research Interests: Bayesian high-dimensional regression, object-oriented regression, causal inference in randomized trials, probabilistic record linkage, Bayesian nonparametric mixture models, and integration of heterogeneous data types like networks and functional data. Her work addresses challenges in neuroimaging (dMRI/fMRI) and big data analytics. Recent Contributions: Her articles span Bayesian methodologies for network analysis, differential privacy in treatment effect estimation, and applications in environmental health (e.g., PM2.5 exposure studies). Notable trends include leveraging Bayesian hierarchical models for complex data structures and advancing causal inference frameworks. Awards: 2022 Blackwell-Rosenbluth Award (ISBA) 2021 Savage Award Honorable Mention 2024 NSF-DMS Grant 2413721 Grants & Advising: Secured NSF funding for heterogeneous data integration research. Mentored students like Jose Rodriguez-Acosta (NSF GRFP Fellow) and Jacob Pagel (NIH-funded CoSIBS participant). Lab/Team: Leads a research group integrating statistical method development with domain collaborations in neuroscience and network security. Active in organizing workshops and serving on panels to foster academic engagement.

Marina Vannucciمشاهده پروفایل

استاد

• Bayesian statistics
• Variable selection
• Graphical models
• +۵ مورد دیگر

Marina Vannucci is the Noah Harding Professor of Statistics at Rice University, with an adjunct appointment at the UT MD Anderson Cancer Center. She holds a Ph.D. and Laurea in Mathematics from the University of Florence, Italy. Her research focuses on Bayesian statistical methods for complex problems in genomics, neuroimaging, and engineering. She has supervised 31 Ph.D. students and 13 postdocs, published over 185 papers, and received prestigious awards including the Mitchell Prize, Zellner Medal, and Don Owen Award. She has served as Editor-in-Chief of Bayesian Analysis and co-Editor of the Journal of the American Statistical Association. Education: Ph.D. in Statistics (University of Florence, 1996), Laurea in Mathematics (University of Florence, 1992). Research Interests: Bayesian statistics, variable selection, graphical models, statistical computing, applications in genomics, neuroscience, and engineering. Awards: Includes Fellowships from ASA, IMS, AAAS, ISBA, and the 2020 Zellner Medal. Recent recognitions include the 2025 Don Owen Award for excellence in research and contributions to the statistical community. Grants/Advising: Over 30 Ph.D. students and 13 postdocs trained. Key roles include Department Chair (2014–2019) and President of the International Society for Bayesian Analysis (2018). Labs/Teams: Affiliated with Rice Neuroengineering, Ken Kennedy Institute, and the W.M. Keck Center for Interdisciplinary Bioscience Research.

• Spatial Data Analysis
• Spatial Interaction Modeling
• Local Statistical Analysis
• +۵ مورد دیگر

A. Stewart Fotheringham is a Regents' Professor of Computational Spatial Science and Director of the Spatial Analysis Research Center (SPARC) at Arizona State University’s School of Geographical Sciences and Urban Planning. He is also a Distinguished Sustainability Scientist at the Julie Ann Wrigley Global Institute of Sustainability. His research focuses on spatial data analysis using statistical, mathematical, and computational methods, with expertise in spatial interaction modeling and local statistical analysis, particularly multiscale geographically weighted regression (MGWR). He has conducted substantive research in health geography, crime patterns, retailing, migration, and transportation. Affiliations: ASU’s Institute for Social Science Research, National Academy of Sciences, Academia Europaea Education: Ph.D., M.A. (McMaster University), B.Sc. (Aberdeen University) Awards: Science Foundation Ireland Research Professorship (2004), over $15 million in funding His research interests include spatial statistics, geographic information science, and the development of methodologies to analyze spatial heterogeneity. He has authored 12 books and nearly 200 publications, emphasizing reproducibility in geospatial research and advancing computational tools like MGWR. Recent work examines spatial voting dynamics, housing valuation, and health disparities using local modeling techniques. He advises on grants, serves on the Transportation Research Board’s Executive Committee, and contributes to global sustainability initiatives.

Duncan Robertsonمشاهده پروفایل

پژوهشگر ارشد

• Millimeter-Wave Radar
• Radiometry
• Imaging Technology
• +۴ مورد دیگر

Prof Duncan Robertson is a Professorial Research Fellow at the School of Physics and Astronomy, University of St Andrews, Scotland. He holds a B.Sc. (Hons.) and Ph.D. in Physics from the same institution. His career has focused on millimeter-wave radar technologies with applications in environmental sensing, security systems, and battlefield systems. He leads the Millimetre Wave Group, specializing in radar imaging, radiometry, electron spin resonance instrumentation, and antenna design. Education: B.Sc. (Hons.) in Physics and Electronics, University of St Andrews (1991) Ph.D. in Millimetre Wave Physics, University of St Andrews (1991) Research Interests: Prof Robertson’s work spans millimeter-wave radar systems, including drone detection, glacier monitoring, sea clutter analysis, and holographic metasurfaces. His group develops technologies for security screening, environmental monitoring, and material characterization. Grants & Projects: Environmental Monitoring: Short Range Interferometric Synthetic Aperture Radar (InSAR) MuWMAS: Snowflake Scattering and Microstructure Analysis Drone Detection Radar Commercialization Labs/Teams: Leads the Millimetre Wave Group, collaborating on radar phenomenology and advanced sensor systems. Active in international radar conferences and experimental field trials.

Melissa M. Leeمشاهده پروفایل

دانشیار

• Statebuilding
• International Relations
• Domestic Politics
• +۳ مورد دیگر

Melissa M. Lee is the Klein Family Presidential Associate Professor of Political Science at the University of Pennsylvania and Director of the World House Student Fellows Program at Perry World House. Her research focuses on the international and domestic politics of statebuilding, sovereignty, and state development, emphasizing how foreign subversion undermines state authority. She holds a Ph.D. from Stanford University and a B.A. from the University of California San Diego. Lee’s work bridges historical and contemporary case studies, including Russian relations with post-Soviet states, Malaysian subversion of the Philippines, and Thai subversion of Vietnam-occupied Cambodia. Her book *Crippling Leviathan* (2020) won major awards, including the APSA Merze Tate Award and Perry World House’s Emerging Scholar Prize. She also contributes policy writing to *Foreign Affairs* and the Irregular Warfare Initiative. Previous roles include Assistant Professor at Princeton University and Lightning Scholar at Perry World House. Her research has been published in top journals like the *American Political Science Review* and *International Organization*. Awards: APSA Merze Tate Award (2016) APSA European Politics and Society Section Best Article Prize (2020) Perry World House Emerging Scholar Global Policy Prize APSA Foreign Policy Section Honorable Mention for Best Book Her work examines dependent territories in international relations, the historical roots of state weakness, and the interplay between conflict and governance. Lee’s scholarship integrates quantitative and qualitative methods to analyze how external actors shape domestic political dynamics.

Peter Bishopمشاهده پروفایل

استاد

• Software Reliability
• Software Fault Tolerance
• Design Diversity
• +۱۰ مورد دیگر

Peter Bishop is a Professor at the Centre for Software Reliability, City St George's, University of London, where he holds a joint chair in Systems and Software Dependability with Robin Bloomfield. He is also Chief Scientist at Adelard, part of NCC Group, providing consultancy and research in computer safety and dependability. He holds BSc and MSc degrees in Physics and is a Chartered Engineer and Member of the IET. University: City St George's, University of London School: College of Engineering, Design and Physical Sciences Department: Centre for Software Reliability Academic Rank: Professor Email: p.bishop@citystgeorges.ac.uk Research Interests: Peter Bishop's research spans software fault tolerance, design diversity, software reliability prediction, statistical testing, system safety and security, assurance case methodologies, and their application in industrial contexts including autonomous vehicles and nuclear systems. He has led research for the UK nuclear industry on smart device assessment and participated in European projects on critical control system safety. Publication Trends: His recent publications focus on conservative confidence bounds for software reliability, safety assurance under uncertainty, integration of testing and formal proof, and security-informed safety. A recurring theme is the development of rigorous, evidence-based methods to justify software dependability in safety-critical domains, particularly where operational and test profiles differ or failure data is scarce. Scientific Awards and Recognition: While specific awards are not listed, his long-standing contributions are evident through his professorship, leadership at Adelard, and active role in safety-critical research. He is a Chartered Engineer and Member of the IET. Advising and Grants: Although specific students are not named, his leadership in major research projects such as DISPO and DIRC (2000–2006) indicates significant supervisory and mentoring roles. He has secured funding from sources including the Leverhulme Trust (UnCoDe project) and a consortium of nuclear industry stakeholders (EDF Energy, NDA, AWE, etc.) under the CINIF Nuclear Research Programme. Labs and Research Teams: He is a key member of the Centre for Software Reliability at City St George's and leads research activities at Adelard. He collaborates extensively with Robin Bloomfield, Lorenzo Strigini, Bev Littlewood, and others on software dependability and safety assurance research.