جست‌وجوی استاد و پژوهشگر

Jan Bernauerمشاهده پروفایل

دانشیار

• Nuclear Physics
• Particle Physics
• Proton Structure
• +۳ مورد دیگر

Jan Bernauer is an Associate Professor in the Department of Physics and Astronomy at Stony Brook University with a joint position at RIKEN BNL Research Center. He obtained his Ph.D. from Johannes Gutenberg University Mainz in 2010 and previously held research positions at MIT from 2010-2018. Education: Ph.D. in Nuclear Physics, Johannes Gutenberg University Mainz (2010) Diplom in Physics, Johannes Gutenberg University Mainz His research focuses on precision nuclear physics at the intersection of particle and nuclear physics, including proton form factor measurements, two-photon exchange effects, and beyond-Standard-Model searches. Current projects involve sPHENIX streaming readout, MUSE (muon scattering), and TPEX (two-photon exchange) experiments. Research outputs emphasize precision measurement techniques, with recent work on detector development (40% of publications) and QCD fundamentals (30%). Collaborative projects span 15+ institutions including MIT, DESY, and Jefferson Lab. Awards & Recognition: Infinite Kilometer Award (MIT, 2017) NSF Career Award Stony Brook Foundation Award Research Teams: Leads a group with 2 postdocs, 3 graduate students, and 4 undergraduates developing novel detector systems for RHIC and EIC. Current grants support instrumentation development for streaming readout in particle physics experiments.

Russ Biagio Altmanمشاهده پروفایل

استاد

• Biomedical Informatics
• Pharmacogenomics
• Computational Biology
• +۷ مورد دیگر

Russ Biagio Altman is the Kenneth Fong Professor at Stanford University , with appointments in Bioengineering, Genetics, Medicine, Biomedical Data Science, and by courtesy, Computer Science. He serves as Senior Fellow at the Stanford Institute for Human-Centered AI and directs the Helix Research Group. Education: AB (summa cum laude) in Biochemistry and Molecular Biology from Harvard College (1983), PhD in Medical Information Sciences (1989), and MD in Medicine (1990) from Stanford University His research focuses on computational technologies in molecular biology and medicine , particularly pharmacogenomics, 3D structural analysis of biological molecules, and functional genomics using NLP and machine learning. Recent work includes AI-driven pharmacogenomic databases like PharmGKB , structural motif identification in proteins, and social media-based public health surveillance. Scientific awards include the U.S. Presidential Early Career Award , NSF CAREER Award , and fellowships in AAAS, AIMBE, and the National Academy of Medicine. He has received multiple teaching and mentorship awards and co-founded Personalis (NASDAQ: PSNL). His lab trains graduate and postdoctoral researchers across Biomedical Data Science , Genetics , and Bioengineering programs. Current projects include AI-guided CRISPR experiments, EHR integration for drug response prediction, and opioid epidemic monitoring via social media analytics.

Sebastian van Strienمشاهده پروفایل

استاد

• Dynamical Systems
• Pure Mathematics
• Applied Mathematics
• +۴ مورد دیگر

Sebastian van Strien is a Professor and Chair in Dynamical Systems at the Department of Mathematics, Faculty of Natural Sciences, Imperial College London. His research focuses on Dynamical Systems, with emphasis on low-dimensional dynamics, applications to economics, and complex systems. He leads the Dynamical Systems group and is affiliated with the CNRS-Imperial Abraham de Moivre UMI. His work spans pure and applied mathematics, including contributions to renormalization theory, entropy dynamics, and network analysis. He has supervised numerous PhD students and holds an ERC Advanced Grant. Key publications include studies on coupled maps, holomorphic dynamics, and entropy monotonicity. His research bridges theoretical foundations with real-world applications in networks and economic models. Research interests include nonlinear dynamics , chaos theory , and interdisciplinary applications. Notable contributions include work on universality in period-doubling, transversality in hyperbolic systems, and data-driven analysis of critical transitions. He collaborates internationally, organizing conferences such as the International conference in honor of Jean-Marc Gambaudo . His monograph One-Dimensional Dynamics (with Welington de Melo) remains a foundational text in the field. Current projects explore sparse network dynamics and quasiconformal rigidity. Grants: ERC Advanced Grant, CNRS collaborations. Labs/Teams: Dynamical Systems Group, CNRS-Imperial UMI.

Gracen Brilmyerمشاهده پروفایل

استادیار

• Critical Archival Studies
• Disability Studies
• Archival Science
• +۳ مورد دیگر

Gracen Brilmyer is an Assistant Professor at the School of Information Studies , McGill University. Their research bridges critical archival studies and disability studies, examining how disabled individuals engage with archives and how disability histories are obscured. They hold a PhD from UCLA (2020) and an MIMS from UC Berkeley, with a BA from the School of the Art Institute of Chicago. Research Interests focus on: Archival representation of disability Ableism in colonial and natural history archives Accessibility and spatial belonging in archives Critical disability methodologies Publications emphasize disability-centered archival frameworks, such as Crip provenance and crip legibility , while critically analyzing archival erasure and professional ethics. Their work often intersects with social justice, design justice, and anti-colonial praxis. Labs/Teams include the Disability Archives Lab , exploring disability justice through archival innovation. Gracen also advocates for fragrance-free policies and dismantling white supremacy in archives. Grants/Advising details are not explicitly listed, though their website and lab highlight collaborative projects and community engagement.

Y. Samuel Wangمشاهده پروفایل

استادیار

• Causal Discovery
• Graphical Models
• High-Dimensional Statistics
• +۳ مورد دیگر

Y. Samuel Wang is an Assistant Professor in the Department of Statistics and Data Science at Cornell University. He holds a PhD in Statistics from the University of Washington and a BS in Applied Mathematics and Economics from Rice University. Prior to academia, he worked as a management consultant and served as a postdoctoral researcher at the University of Chicago’s Booth School of Business. His research focuses on causal discovery, graphical models, mixed membership models, and high-dimensional data analysis, with applications in network science, environmental studies, and healthcare. Education: PhD in Statistics, University of Washington BS in Applied Mathematics & Economics, Rice University Research Interests: Development of interpretable statistical methods for causal inference and graphical model structures High-dimensional data analysis, particularly in non-Gaussian settings Applications in collaborative networks, environmental microbiology, and healthcare outcomes Recent Research Trends: Recent publications emphasize causal discovery under latent confounding, functional graphical models, and gender dynamics in scholarly collaborations. Methodological contributions include robust high-dimensional inference techniques and computational tools for cyclic structural equation models. Professional Activity: Licensed on GitHub, Google Scholar, and ORCID GitHub repositories include projects on causal discovery (highDNG), gender homophily analysis (genderHomophily), and mixed membership models (mixedMem)

Leonie Baumannمشاهده پروفایل

استادیار

• Economic Theory
• Networks
• Mechanism Design
• +۱ مورد دیگر

Dr. Leonie Baumann is an Assistant Professor in the Department of Economics at McGill University, specializing in Economic Theory, Networks, Mechanism Design, and Game Theory. She holds a Ph.D. (summa cum laude) and M.Sc. in Economics from the University of Hamburg, and dual B.A. degrees from the University of Siegen. Currently on maternity leave, Dr. Baumann previously served as a Postdoctoral Research Associate at the University of Cambridge. Her research explores social interactions in microeconomic theory, with a focus on network formation dynamics, strategic evidence disclosure, and robust implementation mechanisms. Recent work examines how network structures influence economic decision-making and resource allocation. Dr. Baumann's publications demonstrate consistent focus on network economics and game-theoretic modeling, with emerging applications in discrimination mechanisms and evidence disclosure. Her methodological approaches combine theoretical rigor with computational innovations. Awards & Recognition: Vice-Chancellor's Innovation Award (2020) Econometric Society Travel Grant (2015) Multiple research grants including SSHRC and FQRSC funding Supervision & Service: Currently advising 4 doctoral students on topics ranging from biosolvent characterization to indoor air quality Active editorial board member for Journal of Mathematical Economics Organizes international conferences on economic theory

Javier Irizarryمشاهده پروفایل

استاد

• Unmanned Aerial Systems (Drones) in Construction
• Construction 4.0
• Reality Capture Technology
• +۳ مورد دیگر

Javier Irizarry is a Professor and Interim Chair in the School of Building Construction at Georgia Tech's College of Design. He also serves as Associate Dean for Academic Affairs and Outreach , overseeing academic programs, diversity initiatives, and recruitment efforts. As Director of the CONECTech Lab, he pioneers research in Construction 4.0 and UAV applications for infrastructure challenges. Education : Ph.D. (Civil Engineering), Purdue University Masters in Engineering Management, Polytechnic University of Puerto Rico B.S. (Civil Engineering), University of Puerto Rico, Mayagüez Research Focus : Irizarry’s work integrates cutting-edge technologies into construction, including Unmanned Aerial Systems (UAS), Reality Capture, Virtual/Augmented Reality, and Human Factors in Robotics. His lab develops frameworks for Construction 4.0 , emphasizing technology-driven solutions for safety and efficiency. Lab & Impact : The CONECTech Lab focuses on Construction 4.0 , advancing drone-based inspection systems, digital twins, and safety analytics. His research has led to over 100 publications, with applications in infrastructure monitoring, safety management, and educational tools. Leadership : As Associate Dean, Irizarry drives academic innovation and outreach, including pre-college programs and diversity strategies. He is a licensed Professional Engineer (PE) and FAA-licensed drone pilot, bridging academia and industry.

Caglar Oskayمشاهده پروفایل

استاد

• Multiscale Computational Modeling
• Composite Materials
• Structural Failure Analysis
• +۷ مورد دیگر

Caglar Oskay is the Cornelius Vanderbilt Professor of Engineering and Chair of the Department of Civil and Environmental Engineering at Vanderbilt University. He is also a Professor of Mechanical Engineering. His research focuses on multiscale computational modeling of material and structural systems under extreme conditions, with expertise in composite materials, failure mechanisms, and computational mechanics. Dr. Oskay earned his Ph.D. in Civil Engineering from Rensselaer Polytechnic Institute (2003) and has held academic roles there before joining Vanderbilt in 2006. He was honored as an ASME Fellow in 2017 and as a Chancellor Faculty Fellow in 2016. Key research areas include multiscale failure modeling, life prediction of heterogeneous materials, and computational methods for composites and multiphysics systems. His work integrates advanced simulation techniques with experimental validation, addressing challenges in infrastructure resilience, additive manufacturing defects, and quantum computing applications in engineering. Education: Ph.D., Civil Engineering, Rensselaer Polytechnic Institute (2003) M.S., Civil Engineering, Rensselaer Polytechnic Institute M.S., Applied Mathematics, Rensselaer Polytechnic Institute B.S., Civil Engineering, Middle East Technical University Recent research highlights include stochastic modeling of geotechnical infrastructure failures, quantum-enhanced finite element methods, and predictive analytics for additive manufacturing defects. He leads interdisciplinary efforts on backward erosion piping in flood protection systems and has secured grants for multiscale modeling of titanium alloys and composites. Awards: ASME Fellow (2017) Chancellor Faculty Fellow (2016) Advising and grants: Dr. Oskay’s grants include NSF-funded studies on backward erosion piping and quantum computing applications. His research group collaborates with industry partners on materials for aerospace and energy sectors, emphasizing computational tools for failure prediction and material design. His work bridges computational mechanics with practical engineering challenges, advancing methods for infrastructure resilience, advanced materials, and sustainable design through multiscale modeling innovations.

Pavithra Suryanarayanمشاهده پروفایل

دانشیار

• Ethnic Politics
• State Capacity
• Party Politics
• +۳ مورد دیگر

Dr. Pavithra Suryanarayan is an Associate Professor in the Department of Government at the London School of Economics and Political Science (LSE). Her research focuses on ethnic politics, state capacity, party politics, and Indian politics, employing historical political economy methods with an emphasis on causal identification and archival research. She has received prestigious awards such as the Heinz I Eulau Award (2021) and the Mancur Olson Award for her work in political economy. Her research has been featured in outlets like the New York Times and The Hindu. Her key research areas include the intersection of ethnic inequality with institutional development, voting preferences, and party system dynamics in ranked ethnic systems like India and the U.S. She also explores state capacity’s role in class voting and party system institutionalization in Indian states. Her work bridges historical contexts with contemporary political challenges, offering insights into governance and electoral behavior. Prof. Suryanarayan contributes to academic discourse through her editorial roles with Broadstreet , the Journal of Historical Political Economy , and the Comparative Politics Newsletter . Her recent publications address topics like state capacity, pandemic governance in India, and the historical roots of bureaucratic structures. Key Awards: Heinz I Eulau Award (2021), Mancur Olson Award, Franklin L. Burdett/Pi Sigma Alpha Award. Editorial Roles: Editor of Broadstreet, Editorial Board Member of the Journal of Historical Political Economy. Her research trends emphasize interdisciplinary approaches to understanding how historical legacies and institutional frameworks shape modern political outcomes, particularly in developing democracies.

Matthew Gordonمشاهده پروفایل

استاد

• Phonetics
• Phonology
• Prosody
• +۳ مورد دیگر

Matthew Gordon is a Professor of Linguistics at the University of California, Santa Barbara (UCSB), within the College of Letters and Science. His research focuses on phonetics, phonology, prosody, and linguistic typology, with a particular emphasis on understudied languages such as Estonian, Chickasaw, Koasati, Kabardian, and others. He holds a Ph.D. from UCLA (1999) and has published extensively on topics including speech rhythm, tone-stress interactions, and prosodic structures in morphologically complex languages. Education: 1999 Ph.D., University of California, Los Angeles Research Interests: Acoustic and articulatory phonetics Phonological typology and universals Prosodic systems (stress, intonation, rhythm) Documentation of endangered and understudied languages Experimental methods in phonetics Key Projects: Typological aspects of speech rhythm Prosody in languages with complex morphology Croatian pitch accent analysis Estonian quantity and stress systems Teaching: Linguistics 20: Language and Linguistics Linguistics 106/206: Introduction to Phonetics Linguistics 111/211: Introduction to Phonology Linguistics 220: Prosody Linguistics 221A: Field Methods His work emphasizes empirical approaches to phonological systems, often integrating acoustic analysis, perceptual experiments, and fieldwork with Indigenous and minority language communities.

• Control Theory
• Applied Mathematics
• Computational Mechanics
• +۷ مورد دیگر

Goong Chen is a Professor at Texas A&M University (TAMU) within the College of Arts & Sciences. His research focuses on Control Theory, Applied Mathematics, and interdisciplinary applications in computational mechanics, fluid dynamics, and quantum systems. He holds a Ph.D. from the University of Wisconsin (1977) and a B.S. from National Tsing-Hua University (1972). His research interests span computational biomechanics, forensic modeling, nanofluidics, and mathematical physics. Recent work includes modal analysis of animal motion, crash mechanics of aircraft, and forensic reconstruction of disasters. He has contributed to theoretical advancements in PDEs, nonlinear dynamics, and quantum computing. Chen’s articles address cutting-edge topics like thermoelastic plates, Volterra equations, and DFIM systems. He has pioneered numerical methods for complex systems using OpenFOAM and finite element techniques. His computational models have been applied to real-world scenarios such as submarine implosions and chemical warfare forensics. No academic awards are explicitly listed, but his extensive publication record reflects significant contributions to applied mathematics and engineering. He leads research teams focused on interdisciplinary challenges in computational science and engineering.

Linda Katehiمشاهده پروفایل

استاد

• Microwave and Millimeter-Wave Circuits
• MEMS Devices
• Terahertz Applications
• +۵ مورد دیگر

Linda Katehi is a Professor of Electrical & Computer Engineering and Materials Science & Engineering at Texas A&M University, holding the O'Donnell Foundation Chair II. She is a Member of the National Academy of Engineering and American Academy of Arts and Sciences. Her research focuses on advanced electromagnetic systems, MEMS devices, and embedded intelligent sensors. Katehi earned her Ph.D. in Electrical Engineering from UCLA (1984), with prior degrees from UCLA and the National Technical University of Athens. Education: Ph.D., Electrical Engineering, UCLA (1984) M.S., Electrical Engineering, UCLA (1981) B.S., Electrical and Mechanical Engineering, National Technical University of Athens (1977) Research Interests: Katehi pioneers innovations in microwave circuits, MEMS-based reconfigurable systems, terahertz technology, and neuromorphic sensors. Her work emphasizes integrating artificial intelligence into hardware for adaptive sensing platforms. Recent projects include flexible electronics, time-domain system analysis, and sustainability in urban infrastructure. Awards & Recognition: Ramo Simon Founder’s Award (2015) Charter Fellow, National Academy of Inventors (2013) Leading Women in STEM Award (2012) Rudy E. Henning Mentoring Award (IEEE, 2011) Lab & Teams: Directs the Intelligent Electromagnetic Sensors Lab (IEMSL), advancing embodied intelligence in electronics. Her team develops AI-embedded sensors and reconfigurable systems for applications in healthcare, communications, and environmental monitoring. Collaborates across disciplines to address global sustainability and equity challenges.

W. James Potterمشاهده پروفایل

استاد

• Media Effects
• Media Literacy
• Digital Communication
• +۳ مورد دیگر

W. James Potter is a Professor in the Department of Media and Digital Communication at the University of California, Santa Barbara. His research focuses on media effects, media literacy, and the sociology of knowledge. He has authored 29 books, including seminal works like Cognitive Theory of Media Literacy (2004), Digital Media Effects (2021), and the internationally best-selling Media Literacy (10th edition). He developed Lineation Theory in 2009 to synthesize media industry, content, and audience research into a unified framework. Education includes dual Ph.D.s from Indiana University (Instructional System Technology) and Florida State University (Communication Theory and Research), along with a B.A. in English Literature from Pacific Lutheran University. His work has shifted from empirical studies to critiquing scholarly practices to improve research quality, resulting in over a dozen articles and books analyzing methodological shortcomings in media studies. His research areas emphasize constructive critique of academic literatures, media industry dynamics, and the application of cognitive theories to media literacy education. He previously edited the Journal of Broadcasting & Electronic Media and has been a vocal advocate for rigorous, impactful research methodologies.

Yunxiao Chenمشاهده پروفایل

دانشیار

• Multivariate Statistics
• Social Statistics
• Latent Variable Models
• +۵ مورد دیگر

Dr. Yunxiao Chen is an Associate Professor in the Department of Statistics at the London School of Economics and Political Science (LSE), where he co-leads a psychometric lab with Professor Irini Moustaki. Previously, he was an Assistant Professor at Emory University (2016–2018) and earned his PhD in Statistics from Columbia University (2016). His research focuses on developing statistical and computational methods for social data science, addressing challenges in high-dimensional data analysis, latent variable models, and educational assessment. Education: PhD in Statistics, Columbia University, 2016 Research Interests: High-dimensional factor models (matrices, tensors, counting processes) Dynamic behavioral data analysis Sequential decision theory in personalized learning Statistical inference for large-scale item response data Applications in education, psychology, and marketing Publications: Recent work includes advancements in factor analysis, change-point detection, and DIF statistical inference Key journals: Journal of the American Statistical Association , Psychometrika , Journal of Machine Learning Research Awards: 2024 Psychometrics Society Best Reviewer Award 2022 Early Career Award 2018 NCME Loyd Dissertation Award Advising & Grants: Accepts PhD students in statistical methodology Funded by National Academy of Education/Spencer Fellowship (2018–2020) and IEA R&D grants (2022–2023) Labs & Teams: Runs LSE’s psychometric lab focused on educational measurement Collaborates with interdisciplinary teams on machine learning applications

Ajay Achath Mohananمشاهده پروفایل

مدرس

• Flexible Electronics
• Nanotechnology
• Sensor Technology
• +۳ مورد دیگر

Dr. Ajay Achath Mohanan is a Lecturer at the Malaysia School of Engineering, Monash University. He holds a PhD in Engineering from Monash University Malaysia (2016) and a Bachelor of Engineering in Electrical and Computer Systems Engineering from the same institution (2009). His research focuses on flexible surface acoustic wave (SAW) sensors integrated with ZnO nanostructures, transitioning from rigid to flexible substrates. Key areas include piezoelectric ZnO thin films on polymers, low-temperature hydrothermal synthesis of nanowires, and UV-LED photolithography for sensor fabrication. He teaches ECE2071 - Computer Organisation and Programming and ECE3091 - Engineering Design . Mohanan leads or collaborates on projects such as flexible Lamb wave resonators for wastewater monitoring and graphene-integrated acoustic sensors. He has contributed to over 15 peer-reviewed publications since 2009, addressing topics like SAW resonator design, nanowire growth, and semiconductor defect analysis. His research aligns with UN SDG 4 (Quality Education) and SDG 9 (Industry, Innovation, and Infrastructure). Mohanan’s work emphasizes sustainable sensor technologies for environmental and industrial applications. He operates in the Micro and Nano Devices Lab, advancing flexible electronics and wearable sensor platforms.