جست‌وجوی استاد و پژوهشگر

Jonathan Hershمشاهده پروفایل

دانشیار

• Economics of Information Systems
• Online Media Strategy and Online Piracy
• Digital Platform Strategy
• +۳ مورد دیگر

Jonathan Hersh is an Associate Professor at Chapman University's George L. Argyros College of Business and Economics, specializing in Economics and Management Science. His research bridges artificial intelligence, machine learning, and economics to address business, labor, and societal challenges through diverse data sources like satellite imagery and economic records. Education: University of Chicago (BA), University of Pennsylvania (MS), Boston University (PhD) Research focuses on AI's societal impact, including digital platform strategy, online piracy, and development economics. He has pioneered methods for poverty mapping using satellite data and war destruction analysis with AI. Recent publications explore AI skills gaps in financial institutions, API-driven economic growth, and satellite-based poverty estimation. His work has appeared in Management Science , MIS Quarterly , PNAS , and NeurIPS . Awards: BBVA Foundation Frontiers of Knowledge Award (2023) Previously worked as a data scientist for startups and the World Bank. Teaches AI, machine learning, and development economics to undergraduate and MBA students.

Ralf Hiptmairمشاهده پروفایل

استاد

• Computational Mathematics
• Numerical Analysis
• Finite Element Methods
• +۷ مورد دیگر

Ralf Hiptmair is a Full Professor at ETH Zürich, serving as Head of the Seminar for Applied Mathematics and Deputy Head of the Department of Mathematics. He also holds the position of Director of Studies for ETH BSc and MSc in Computational Sciences and Engineering (CSE). His research spans computational mathematics, numerical analysis, finite element methods, boundary element methods, computational electromagnetism, multigrid methods, discrete differential forms, shape optimization, wave propagation, and kinetic equations. Hiptmair's work on auxiliary space methods was recognized as a breakthrough in computational science in the 2008 DOE Report on recent significant advancements in computational science. His research focuses on developing and analyzing numerical methods for partial differential equations, with particular emphasis on structure-preserving discretizations, computational electromagnetism, and boundary integral equations. His work has significant applications in engineering, physics, and computational science. Hiptmair's publications demonstrate a strong focus on advancing numerical techniques for electromagnetic problems, wave propagation, and shape optimization. His recent work shows increasing interest in computational topology, geometric numerical integration, and interdisciplinary applications of numerical methods. Featured as breakthrough in computational science in the 2008 DOE Report on recent significant advancements in computational science (for Auxiliary space methods) Hiptmair has supervised numerous doctoral, master's, and bachelor's students across mathematics, computational science and engineering, and related fields. His research group has received funding for developing advanced numerical methods with applications in electromagnetism, fluid dynamics, and computational physics. He is actively involved in teaching numerical methods courses at both undergraduate and graduate levels. Hiptmair leads research efforts in the Seminar for Applied Mathematics, collaborating with industry partners like ABB Corporate Research and Siemens on practical applications of computational methods. His work bridges theoretical numerical analysis with real-world engineering challenges.

• Natural Language Processing
• Information Extraction
• Deep Learning
• +۴ مورد دیگر

Thien Huu Nguyen is an Associate Professor in the Department of Computer Science at the University of Oregon, part of the College of Arts and Sciences. His research focuses on advancing natural language processing through deep learning approaches, with particular emphasis on multilingual capabilities and information extraction systems. Dr. Nguyen earned his B.S. in Computer Science from Hanoi University of Science and Technology, followed by M.S. and Ph.D. degrees in Computer Science from New York University, where he worked with Professors Ralph Grishman and Kyunghyun Cho. He completed postdoctoral research at the University of Montréal with Professor Yoshua Bengio at the Montreal Institute for Learning Algorithms. His research explores mechanisms to understand human languages for computers so that they can perform cognitive language-related tasks. He is especially interested in distilling structured information and mining useful knowledge from massive and multilingual human-written text across various domains. His lab employs and designs effective learning algorithms for information extraction and text mining, with current focus on deep learning approaches. They are among the first groups to develop deep learning models demonstrating effectiveness for information extraction, while also targeting other language-related problems including reading comprehension, machine translation, natural language generation, chatbots, and language grounding. Dr. Nguyen's research has resulted in significant contributions to multilingual NLP, including the development of Vistral (a state-of-the-art conversational LLM for Vietnamese), CulturaX (a massive multilingual dataset with 6.3 trillion tokens in 167 languages), and the Okapi framework for evaluating multilingual LLMs in 26 languages. His work has been adopted by major organizations including Stability AI for training their state-of-the-art multilingual language models. NSF CAREER Award (2023) AI 2000 Most Influential Scholar Honorable Mention in NLP (2022) EACL 2021 Best Demo Paper Award EACL 2021 Outstanding Demo Paper Award IBM Ph.D. Fellowship (2016) Dr. Nguyen actively mentors students, currently supervising four PhD students (Minh Nguyen, Nghia Ngo, Hieu Man, and Chien Nguyen) and has successfully guided numerous alumni to positions at leading tech companies and academic institutions. His research has been supported by multiple grants including funding from NSF, IARPA, and Adobe Research. He leads the UO-NLP research group which has developed influential software including FourIE (a neural information extraction system), Trankit (a multilingual NLP toolkit), and FAMIE (a multilingual active learning framework).

Sonia Flissمشاهده پروفایل

استاد

• Wave Propagation
• Mathematical Analysis
• Numerical Analysis
• +۵ مورد دیگر

Sonia Fliss is a Full Professor at ENSTA Paris , affiliated with the Department of Applied Mathematics and the POEMS laboratory (UMR CNRS-INRIA-ENSTA) . She teaches applied mathematics courses on partial differential equations (PDEs) , finite element methods , and periodic homogenization to undergraduate and graduate students. Doctor in Applied Mathematics (2009) Authorized to supervise research (2019) Research Interests : Sonia Fliss specializes in the modeling and numerical analysis of wave propagation in periodic, quasi-periodic, and random media . Her work includes transparent boundary conditions , guided waves , and asymptotic methods for acoustic, electromagnetic, and elastic wave phenomena . Recent Publications highlight her contributions to the Half-Space Matching Method , edge states in honeycomb structures , and scattering problems in unbounded domains . Her numerical techniques address multi-scale waveguides and time-harmonic propagation . Laboratory : As a member of the POEMS team, she collaborates on interdisciplinary projects involving mathematical analysis , computational physics , and engineering applications in domains like defence, energy, and transport .

Cornelia Drutuمشاهده پروفایل

استاد

• Geometric Group Theory
• Ergodic Theory
• Number Theory

Prof. Cornelia Drutu is a Professor of Mathematics at the Mathematical Institute , University of Oxford, specializing in geometric group theory, ergodic theory, and their applications to number theory. She holds a PhD and Habilitation, with significant contributions to the understanding of random groups, median structures, and divergence in Lie groups. Research Interests: Geometric Group Theory Ergodic Theory Number Theory Recent Publications Trends: Her work spans geometric analysis of random groups, Kazhdan projections, median geometries, and divergence functions in non-positively curved spaces. Scientific Awards: Whitehead Prize (2009)

• Remote Sensing
• Archaeological Prospection
• Forestry
• +۴ مورد دیگر

Professor Daniel Donoghue is a Professor in the Department of Geography at Durham University, specializing in remote sensing applications for archaeology, forestry, and coastal ecology. He has developed processing methods for high spectral resolution optical imaging, including the commercial T-Spectra package, and leads research on woodland structure assessment, archaeological prospection using declassified satellite imagery (e.g., CORONA), and catchment sensitivity modelling. His work is supported by organizations such as NERC, the European Commission, and the Environment Agency. His research focuses on airborne and satellite remote sensing for archaeological landscape assessment, forest monitoring, and coastal habitat change. He has pioneered techniques for using thermal infrared imagery in archaeology, quantifying woodland volume in UK upland forests, and analyzing land cover change in Bangladesh. His interdisciplinary approach integrates geographical information systems with environmental modelling to address challenges in resource management and ecological conservation. Analysis of his recent publications reveals a strong emphasis on forest dynamics under climate stress, mangrove ecosystem conservation, and archaeological heritage protection. His work leverages satellite and LiDAR data to monitor drought impacts on European beech forests, carbon sequestration in mangroves, and looting in conflict zones like Syria. This reflects a consistent trajectory toward solving real-world environmental and cultural preservation challenges through advanced remote sensing. Professor Donoghue has supervised over ten PhD students, including Anthony Beck (NERC studentship on satellite archaeology), Nikolaos Galiatsatos (HSSF scholarship on declassified imagery), and Commonwealth scholars studying Bangladesh's land cover changes. His externally funded projects include a European Commission LIFE-Environment grant (€249,000), a British National Space Centre partnership (£44,000), and Environment Agency contracts for sediment analysis. He co-founded the Archaeological Special Interest Group of the Remote Sensing Society and the Scottish Fisheries Co-ordination Centre, where he oversees IT systems for catchment management. His collaborations with the British Geological Survey and Durham County Council demonstrate applied research translating into environmental policy and conservation practice.

• Quantum Mechanics
• Quantum Computing
• Atomic Physics
• +۱۱ مورد دیگر

Sølve Selstø is a Professor at the Department of Information Technology , Faculty of Technology, Art and Design, Oslo Metropolitan University. He specializes in theoretical physics and quantum mechanics, teaching mathematics and physics to engineering students. Research interests include quantum computing, photoionization dynamics, relativistic quantum physics, and non-Hermitian quantum systems. His work focuses on quantum particle behavior under light interaction and computational approaches to quantum education. Recent publications address relativistic effects in photoionization, computational quantum physics, and educational frameworks for quantum computing students. Research groups include ADvanced hEalth intelligence and brain-insPired Technologies (ADEPT) and Mathematical Modelling . Outreach involves public communication on quantum computing, quantum physics, and AI through media appearances and lectures.

• Statistics
• Applied Data Science
• Veterinary Epidemiology
• +۲ مورد دیگر

Hans Vernooij is a Lecturer in Farm Animal Health at the Faculty of Veterinary Medicine, Utrecht University. He specializes in statistical methods and data science applications in veterinary epidemiology and animal health. His areas of expertise include: Statistical methods for veterinary research Applied Data Science in Life Sciences Epidemiological modeling Machine learning applications in animal health Vernooij has extensive experience in developing statistical models for animal health applications. His research focuses on applying advanced statistical techniques and data science methods to solve problems in veterinary epidemiology and farm animal health. He has particular expertise in Random Forest models, as demonstrated during his sabbatical at the Human Sciences Research Council in Pretoria where he developed a model for HIV status prediction based on demographic information and knowledge of HIV prevention from large-scale survey data. His publication record shows consistent contributions across veterinary epidemiology, with recent work emphasizing machine learning applications and big data analytics in animal health surveillance. The research demonstrates a clear trajectory from traditional statistical methods toward more advanced data science approaches. Vernooij is actively involved in teaching and mentoring: Teaches statistics to Bachelor students at the veterinary faculty Supports PhD candidates and Master students during data analysis phases of their research Provides statistics education for the Master of Epidemiology program at the Julius Centre of University Medical Centre

Yanrong Yangمشاهده پروفایل

دانشیار

• High Dimensional Statistics
• Large Dimensional Random Matrix Theory
• Functional Data Analysis
• +۳ مورد دیگر

Yanrong Yang is an Associate Professor at the Research School of Finance, Actuarial Studies and Statistics, The Australian National University. Her research focuses on high-dimensional statistical inference, large-dimensional random matrix theory, functional data analysis, and responsible statistical learning. She has developed asymptotic theories for high-dimensional statistics and applied them to time series forecasting and panel data analysis. PhD in Statistics, Nanyang Technological University (2009-2013) MSc in Statistics, Shandong University (2006-2009) BSc in Statistics, Shandong University (2002-2006) Her research explores high-dimensional data analysis, including eigenvalue methods, functional principal component analysis, and applications to mortality forecasting and financial portfolio optimization. Recent publications examine fairness-aware models for annuity pricing, robust PCA techniques, and eigen-analysis for time series clustering. She has published extensively in top journals such as the Annals of Statistics, Journal of Econometrics, and Journal of the American Statistical Association. Her current project, Feature Learning for High-dimensional Functional Time Series (2023-2026), investigates representation learning in financial time series.

Diana Valenciaمشاهده پروفایل

دانشیار

• Exoplanet Structure and Composition
• Super-Earths and Mini-Neptunes
• Rocky Planet Formation
• +۴ مورد دیگر

Diana Valencia is an Associate Professor in the Department of Physical and Environmental Sciences at the University of Toronto, with cross-appointments in the Department of Astronomy. She holds positions at both the University of Toronto Scarborough (UTSC) and the St. George campus, focusing her research on the characterization of low-mass exoplanets, particularly super-Earths and mini-Neptunes. Her work aims to determine whether planets with masses between 1-15 Earth masses are scaled-up versions of Earth or scaled-down versions of Neptune in terms of composition, evolution, and physical properties. Ph.D. from Harvard University, Department of Earth and Planetary Sciences (2008) M.Sc. from University of Toronto, Physics Department (2002) B.Sc. (Honours) from University of Toronto, Physics Department (2001) Dr. Valencia's research interests center on the chemical composition and interior structure of super-Earths and mini-Neptunes, formation processes and chemistry of rocky planets, thermal evolution and interior dynamics of rocky and icy planets, and planetary habitability. Her work combines theoretical modeling with observational constraints to understand how planets form, evolve, and develop the properties we observe. She particularly focuses on connecting stellar composition to planetary characteristics and using statistical approaches to infer interior structures from mass-radius relationships. Analysis of her recent publications shows a strong focus on connecting stellar composition to planetary characteristics, with increasing use of advanced statistical methods and machine learning techniques to infer interior structures. Her research spans theoretical modeling of planetary interiors, observational constraints from missions like JWST, and development of instrumentation for exoplanet characterization. The trend shows growing emphasis on understanding the diversity of rocky exoplanets and their formation pathways. Paolo Farinella 2021 Prize awarded by the European Planetary Society (shared with Lena Noack) Dr. Valencia actively mentors PhD students, currently supervising Nathan Winsor (Habitability of M-Dwarf Stars), Jen Scora (Compositional Outcome of Rocky Planet Formation), Bo Peng (Volatile Acquisition of Rocky Planetary Bodies), and Mykhaylo Plotnykov (Statistical Inferences of the Interior Structure and Composition of Exoplanets). Her research group spans a wide variety of topics related to planetary formation and evolution, with particular emphasis on understanding how planets develop their observed properties. She has secured significant research funding, including NASA Sagan Postdoctoral Fellowship and Henri Poincare Postdoctoral Fellowship. Dr. Valencia leads a research group focused on understanding planetary formation and evolution, with projects ranging from statistical inferences of interior structure to thermo-chemical evolution of planetesimals. She has also created the Astro4Kids initiative, providing free astronomy education to children worldwide, demonstrating her commitment to public outreach and science communication.

Alexander Thomasمشاهده پروفایل

استاد

• Laser-Plasma Interactions
• Particle Acceleration
• High-Intensity Laser Physics
• +۵ مورد دیگر

Dr. Alexander Thomas is a Professor in Nuclear Engineering and Radiological Sciences at the University of Michigan’s College of Engineering, and a cross-appointed Professor in Applied Physics at the College of Literature, Science and the Arts. His research at the Center for Ultrafast Optical Science (CUOS) focuses on computational and experimental laser-plasma interaction physics, particularly laser wakefield acceleration of electrons for compact particle accelerators. His work investigates high-intensity laser-plasma interactions (up to 10 22 W/cm²) to study relativistic electron dynamics, radiation generation, and quantum effects. He develops advanced computational models like the FARSIGHT Vlasov-Poisson code for non-equilibrium plasma physics, relevant to inertial confinement fusion and fast ignition scenarios. Current projects include optimizing laser-driven proton beams, characterizing photon-photon scattering, and advancing the ZEUS laser facility. Key trends in his recent publications include high-intensity laser wakefield acceleration, plasma-based photon acceleration to extreme ultraviolet, magnetic field generation in laser-solid interactions, and quantum electrodynamics (QED) studies. His research leverages facilities like the Hercules 300 TW laser and ZEUS, with applications in radiography, astrophysics, and radiation reaction studies.

Bagrat Mailyanمشاهده پروفایل

استادیار

• Lightning
• Terrestrial Gamma-ray Flashes
• Gamma-ray Bursts
• +۳ مورد دیگر

Dr. Bagrat Mailyan is an Assistant Professor at the Department of Aerospace, Physics and Space Sciences within the College of Engineering and Science at Florida Institute of Technology . His research focuses on Terrestrial Gamma-ray Flashes (TGFs) , Gamma-ray Bursts (GRBs) , and Neutrinoless Double Beta Decay , with a particular emphasis on spectral diversity in TGFs and detector development for particle physics experiments. Expertise : Lightning, Terrestrial Gamma-ray Flashes, Gamma-ray Bursts, Neutrinoless Double Beta Decay, High Energy Astrophysics Contact : mailyanb@fit.edu | F.W. Olin Physical Sciences, 346 | (321) 674-7717 Dr. Mailyan's research spans two primary domains: (1) high-energy atmospheric physics , where he investigates TGFs and their relationship to lightning and thunderstorm dynamics, and (2) high-energy astrophysics , focusing on GRBs and neutrinoless double beta decay. His work on spectral measurements of TGFs has revealed their diversity, contributing to understanding particle acceleration in thunderstorms. In particle physics, he contributes to experiments like AMoRE-I and AMoRE-II, which aim to detect neutrinoless double beta decay and characterize detector backgrounds. Recent publications highlight his involvement in Fermi-GBM observations of GRBs, TGF catalog validation, and detector R&D for cryogenic calorimeters. His collaborations include multi-institutional efforts to link GRBs with gravitational wave events and improve gamma-ray burst localization techniques. He also explores the use of machine learning for lightning classification and TGF detection. Dr. Mailyan's work integrates observational data from space missions (Fermi-GBM, Swift-BAT) and ground experiments (AMoRE, EMBRACE-AGS-Seed) to advance knowledge in both astrophysics and atmospheric radiation phenomena.

Alan McAlpineمشاهده پروفایل

استاد

• Aeroacoustics
• Aircraft engine noise
• Aircraft engine installation acoustics
• +۳ مورد دیگر

Professor Alan McAlpine is a Professor at the University of Southampton's Institute of Sound and Vibration Research (ISVR), where he serves as the director of graduate school for engineering and physical sciences since 2020. He is a key member of the Rolls-Royce University Technology Centre in Propulsion Systems Noise and teaches Acoustics on the ISVR's Acoustical Engineering undergraduate and masters programmes, the only UK acoustics degree accredited by both the Institute of Mechanical Engineers and the Institute of Acoustics. His educational background includes: First-class honours in Mathematics from the University of Southampton (1993) PhD in Mathematics from the University of Bristol (1997) Professor McAlpine's research focuses on theoretical prediction methods for aircraft engine noise sources. His work primarily employs analytical and semi-analytical approaches to assess how design parameters affect noise levels. His key research areas include aeroacoustics, duct acoustics, nonlinear acoustics, aircraft engine installation acoustics, and hydrodynamic stability. His research has practical applications in reducing aircraft noise, particularly during critical phases like take-off. His recent publications reveal a concentrated research trajectory in duct acoustics and aircraft noise prediction, with particular emphasis on fan tone radiation mechanisms, sound propagation through engine ducts, and innovative acoustic liner development for noise reduction. His theoretical frameworks address critical challenges in modern aircraft design, especially regarding spectral broadening of turbine-tones and sound refraction effects caused by fuselage boundary layers. Professor McAlpine maintains significant external engagement: Council of European Aerospace Societies - Aeroacoustics Specialists Committee (2014-present) Institute of Acoustics Research Coordination Committee (2011-2020) Coordinator of the UK X-Noise Network in Aeroacoustics (2009-2015) As director of graduate school, Professor McAlpine supervises PhD students including Liam James Tope working on computational modeling. He has secured substantial research funding from EPSRC and the European Union for projects including 'High Frequency Sound Transmission in Flow Ducts,' 'X-Noise EV Project,' 'H2020 - ARTEM,' 'A McAlpine - Spectral Broadening in Aeroacoustics,' and several other EU-funded initiatives focused on aircraft noise reduction. Professor McAlpine works within the Rolls-Royce sponsored Propulsion Systems Noise group at the ISVR, collaborating with researchers like Dr. David Angland and Dr. Paul Murray. His theoretical work complements the institute's experimental capabilities, contributing to the development of quieter aircraft engine technologies through fundamental understanding of noise generation and propagation mechanisms.

Bjorn Baumeierمشاهده پروفایل

دانشیار

• Multiscale Simulation
• Electronic Transport
• Computational Chemistry
• +۵ مورد دیگر

Bjorn Baumeier is an Associate Professor in the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e). His research group is part of the Centre for Analysis, Scientific Computing and Applications (CASA) and the Institute for Complex Molecular Systems (ICMS). He also participates in several research groups including Scientific Computing, ICMS Core, Eindhoven Hendrik Casimir institute, and Computational Quantum & Molecular Dynamics. His educational background includes: Diploma in Theoretical Solid State Science from the University of Münster PhD in Theoretical Solid State Science from the University of Münster Baumeier's research focuses on the development and application of multiscale simulation techniques for studying electronic transport processes in soft matter. His work combines approaches from computational chemistry, statistical physics, and mathematics to analyze the interplay between molecular electronic structure and material morphology. Additional research lines include studies of disordered biomolecular assemblies and super-coarse-grained modeling of soft granular materials. His group employs large-scale computer simulations linking quantum chemistry, classical Molecular Dynamics at various levels, and rate-based models. Recent publications (2024-2025) demonstrate a strong focus on charge transport phenomena in complex materials, with particular emphasis on interface effects in polymer composites, trap identification in molecular networks, and embedded many-body Green's function methods. His work bridges fundamental physics with practical applications in energy materials and opto-electronic devices. Scientific awards include: Vidi grant from NWO (The Netherlands Organisation for Scientific Research) in 2017 (€800,000) Baumeier has received significant research funding, most notably the Vidi grant focusing on understanding mechanisms underlying long-distance and spin-selective electronic transport in complex molecular systems. His research is often conducted in collaboration with multiple institutions and research groups within TU/e, indicating a strong interdisciplinary approach. His work has practical applications in opto-electronic devices and bio-molecular processes. His research group operates within the Computational Quantum & Molecular Dynamics group, which is part of several larger research initiatives at TU/e including ICMS and the Eindhoven Hendrik Casimir institute. This positioning allows for strong collaboration across physics, chemistry, and engineering disciplines.

Tania Lizarazoمشاهده پروفایل

دانشیار

• Latin American Cultural Studies
• Transnational Feminisms
• Digital Storytelling
• +۶ مورد دیگر

Tania Lizarazo is an Associate Professor at the University of Maryland, Baltimore County (UMBC), affiliated with the Department of Modern Languages, Linguistics & Intercultural Communication. She contributes to the Global Studies Program, Spanish Area, and MA in Intercultural Communication, with additional roles as Affiliate Faculty in Gender, Women’s + Sexuality Studies and Language, Literacy & Culture. Ph.D. in Latin American Literature and Cultures from UC Davis (2015) Research focuses on Latin American cultural studies, transnational feminisms, digital storytelling, and performance studies Key projects include mujerespacificas.org with Colombian Black peasant organizations and sexualidadescampesinas.ucdavis.edu with California farmworkers Author of Postconflict Utopias: Everyday Survival in Chocó, Colombia (University of Illinois Press, 2024) Her recent publications and collaborations emphasize digital storytelling as a tool for community engagement and critical analysis of race, gender, and violence in Latin America. She co-edited Repensando a Policéfalo (2006) and has published in journals like Journal of Latin American Cultural Studies and Corpografías . Her work bridges academic research with social justice initiatives. Current courses include topics on digital humanities, migration, Afro-Latin America, and performance studies. She collaborates with Dr. Thania Muñoz D. on the teaching project Intercultural Tales: Learning With Baltimore’s Immigrant Communities .