جست‌وجوی استاد و پژوهشگر

• Optimal Transport
• Geometric Analysis
• Ricci Curvature
• +۳ مورد دیگر

Fabio Cavalletti is a Full Professor at the University of Milan, specializing in geometric analysis, optimal transport theory, and synthetic curvature bounds. His work bridges differential geometry, mathematical physics, and functional inequalities, with particular focus on Lorentzian spaces and Ricci curvature. He has organized international workshops and conferences on optimal transport and geometric analysis. Research interests include optimal transport in Lorentzian and Riemannian settings, synthetic Ricci curvature conditions, isoperimetric inequalities, and geometric flows. Recent work explores timelike Ricci curvature bounds, null hypersurfaces in general relativity, and applications to quantum information geometry. Key contributions include foundational results on displacement convexity, quantitative Obata's theorem, and optimal transport in singular spaces. He has collaborated extensively with researchers like Andrea Mondino and Nicola Gigli, producing over 35 peer-reviewed publications. Notable activities include organizing the 2024 School and Conference on Metric Measure Spaces, 2025 Workshop on Optimal Transport and Metric Geometry, and mentoring junior researchers in geometric analysis. Current projects address synthetic timelike curvature in Lorentzian spaces and applications to general relativity.

• Nanotechnology-based bioanalysis
• Mass spectrometry
• Lateral flow immunoassay
• +۵ مورد دیگر

Dr. Chang Lei is an ARC Discovery Early Career Researcher Award (DECRA) Fellow at the Department of Medical Sciences within the Faculty of Medicine and Health at The University of Sydney. She is also a member of The University of Sydney Nano Institute and the Charles Perkins Centre. With expertise in nanotechnology-based bioanalysis, mass spectrometry, lateral flow immunoassay, and tissue regeneration, Dr. Lei leads several innovative research projects focused on advancing healthcare through nanotechnology. Dr. Lei completed her PhD at the Australian Institute for Bioengineering and Nanotechnology (AIBN) at The University of Queensland (UQ). Her academic journey includes receiving the Queensland Government Advance Queensland Research Fellowship, the UQ Amplify Fellowship in 2021, and the prestigious ARC DECRA in 2024. Her research interests span across nanotechnology applications in healthcare, with particular focus on: Developing novel nanomaterials for single-cell metabolomics analysis Creating affordable and ultra-sensitive biomarker detection platforms Engineering silica bio-nanomaterials for stem cell differentiation and bone repair Advancing lateral flow immunoassay technologies using nanomaterials Applying nanotechnology to dental and craniofacial regeneration Dr. Lei's publication record demonstrates a strong focus on nanotechnology applications across multiple disciplines. Her recent work shows increasing emphasis on medical applications of nanomaterials, particularly in diagnostics, cancer therapy, and tissue regeneration. She has published in high-impact journals including Nature Science Review, Small, Biosensors and Bioelectronics, Angewandte Chemie, and Advanced Materials. Dr. Lei has received several notable awards and honors: 2024 ARC DECRA Fellow 2021 The University of Queensland Amplify Fellow 2020 GC Minimum Intervention Dentistry Research Award 2017 Advanced Queensland Research Fellow As a reviewer for scientific journals such as Science Advances, Journal of Nanobiotechnology, and Journal of Materials Chemistry B, and for ARC and NHMRC grants, Dr. Lei actively contributes to the scientific community. She also serves as an editor for Frontiers in Bioengineering and Biotechnology and Nano TransMed. Her current research projects are supported by grants including the ARC DECRA and the FMH Start-up Scheme. Dr. Lei is actively involved in several research groups and initiatives: Member of The University of Sydney Nano Institute Member of the Charles Perkins Centre Member of Australian and New Zealand Society for Mass Spectrometry Member of The Australian Materials Research Society Member of the Australian Nanotechnology Network

Ida Asadi Somehمشاهده پروفایل

دانشیار

• Business Analytics
• Artificial Intelligence
• Big Data
• +۷ مورد دیگر

Associate Professor Ida Asadi Someh is affiliated with the UQ Business School at The University of Queensland and serves as a research affiliate at the Centre for Information Systems Research (CISR) , MIT Sloan School of Management. She completed her PhD at The University of Melbourne in 2015, receiving the best PhD thesis award from the Melbourne School of Engineering and the Vice Chancellor’s PhD Prize . Her research spans business analytics , artificial intelligence , and data governance , focusing on the organizational and societal impacts of data and AI. Key areas include ethics of AI , privacy , accountability , and synergy in analytics systems . Recent publications highlight generative AI in business transformation, algorithmic fairness in public welfare systems, and data governance frameworks for ethical AI. Her work addresses digital transformation in both corporate and public sectors. Scientific awards include the best PhD thesis and Vice Chancellor’s PhD Prize at The University of Melbourne. She supervises PhD and Master’s students in data-driven organizations , privacy-preserving AI , and sepsis management through data .

Ching-To Albert Maمشاهده پروفایل

استاد

• Incentives and Contract Theory
• Industrial Organization
• Health Economics

Ching-To Albert Ma is a Professor at Boston University, specializing in Incentives and Contract Theory, Industrial Organization, and Health Economics. He holds a PhD from the London School of Economics. His research explores topics such as moral hazard in disability insurance, physician agency, healthcare quality incentives, and competition dynamics between public and private sectors. He has lectured internationally on industrial organization and health economics in Finland, Germany, Italy, Norway, Spain, and Switzerland. His work analyzes healthcare payment systems, technology adoption by physicians, and the impact of public policies on healthcare markets. Notable themes include the interplay between altruism and profit motives in healthcare, equity in healthcare access, and the design of efficient health insurance systems. His contributions span theoretical frameworks and empirical analyses of real-world healthcare systems. Ma has advised on healthcare governance reforms and has explored behavioral economics through experimental methods. His articles address issues ranging from antibiotic resistance economics to vaccination externalities, reflecting a commitment to bridging policy and academic research.

Andrew Goodliffeمشاهده پروفایل

دانشیار

• Geophysics
• Tectonics
• Basin Evolution
• +۳ مورد دیگر

Andrew Goodliffe is an Associate Professor and Associate Dean for Graduate Admissions, Recruitment, and Fellowships at the University of Alabama's Department of Geological Sciences. His primary affiliations include the College of Arts and Sciences and the Department of Geological Sciences. He specializes in tectonics, basin evolution, and geophysics, with a focus on continental rifting, rift basin dynamics, and subduction processes. His research spans regions such as the Woodlark Basin, Gulf of Corinth, and the Black Warrior Basin. Education details are not explicitly provided in the text. However, his career trajectory suggests advanced training in geology and geophysics, likely including a PhD in a related field. His work integrates field data, seismic imaging, and numerical modeling to address questions about tectonic processes and resource management. Research interests prominently feature continental rifting, rift-to-spreading transitions, and the structural evolution of active margins. He has extensively studied the Woodlark Basin (Papua New Guinea) and the Gulf of Corinth (Greece), contributing to understanding mechanisms of lithosphere thinning, fault systems, and seismic hazards. His recent focus includes groundwater vulnerability assessment in coastal Alabama and CO₂ sequestration feasibility. Publications highlight interdisciplinary approaches, combining geophysical data with geological observations. Over 50 articles span topics from subduction zone dynamics to educational initiatives like GeoPRISMS integration in undergraduate curricula. Grants and advising activities are not detailed here, but his role as Associate Dean indicates involvement in graduate education and fellowships. No labs or teams are explicitly mentioned, though collaborations are implied through multi-institutional projects like the MARGINS/GeoPRISMS program.

• Macroeconomics
• Fiscal Policy
• Monetary Economics
• +۴ مورد دیگر

António Afonso is a Full Professor at ISEG (Lisbon School of Economics and Management), part of the University of Lisbon. He has held this position since 2011 and coordinates the Master in Monetary and Financial Economics. His research focuses on macroeconomics, fiscal policy, and public finance, with a particular emphasis on sovereign risk, fiscal sustainability, and the interplay between monetary and fiscal policies. Dr. Afonso has an extensive professional background, including roles as a Senior Economist at Caixa Geral de Depósitos and the Ministry of Finance, and has advised institutions such as the Banco Nacional Ultramarino. He has authored numerous books, including Handbook on Efficiency in the Public Sector and academic texts on monetary and public finance economics. His research interests span fiscal sustainability dynamics, geopolitical impacts on sovereign risk, and the effects of monetary policy shocks. He has supervised over 40 students in master’s and PhD programs, focusing on topics like sovereign ratings, fiscal consolidation, and macroeconomic policy interactions. His work has been published in leading journals such as Economic Change and Restructuring , Journal of International Money and Finance , and Empirical Economics . Key contributions include analyzing the role of fiscal rules, the impact of geopolitical risks on government debt portfolios, and the effects of unconventional monetary policies. He is actively involved in research labs at ISEG, including the Data Lab, Futures Lab, and Policy Lab, which address contemporary economic challenges.

• Pure Mathematics
• Mathematical Physics
• Quantum Physics
• +۳ مورد دیگر

Ajay Chandra is an Associate Professor in Pure Mathematics at Imperial College London's Faculty of Natural Sciences. He specializes in stochastic partial differential equations (SPDEs) with applications to statistical mechanics and quantum field theory. His work bridges probability theory, mathematical physics, and rigorous analysis of singular SPDEs. He has affiliations with the Department of Mathematics and focuses on areas like regularity structures, renormalization, and non-linear dynamics. His research interests include the analysis of singular SPDEs, gauge theories, quantum field models, and phase transitions. Notable contributions involve stochastic quantization of Yang-Mills theory, Phi^4 models, and multi-layer KPZ equations. Chandra has collaborated with leading researchers such as Martin Hairer and Hendrik Weber, advancing the field of stochastic analysis through innovative techniques like analytic BPHZ theorems and a priori bounds. His advising record includes PhD students working on topics ranging from dynamical Yukawa models to tensor field theories. Chandra's work often intersects with applied mathematics and theoretical physics, addressing foundational questions in statistical mechanics and quantum systems. He maintains an active research program with publications in top-tier journals like Inventiones Mathematicae and Communications in Mathematical Physics.

Gernot Siegمشاهده پروفایل

استاد

• Transport Economics
• Industrial Organization
• Infrastructure Policy
• +۴ مورد دیگر

Professor Gernot Sieg holds the Chair of Industrial Organization with a focus on Infrastructure and Transport Economics at the University of Münster, leading the Institute of Transport Economics. He previously served as Director of the Institute of Economics at TU Braunschweig and has held visiting positions at institutions like the University of Southern California. His academic background includes a Dr. rer. pol. (1993–1999) and Habilitation (1993–1999). Prof. Sieg’s research focuses on transport markets, regulatory economics, and infrastructure policy. Notable projects include the CRC 1385 on Law and Literature, evaluating bicycle traffic optimization (Leezenflow), and analyzing aviation slot regulations. He advises the Federal Ministry for Digital and Transport’s Scientific Advisory Board. His research interests span transport infrastructure financing, traffic flow dynamics, and environmental policy. Recent work addresses vehicle value externalities, phantom jam costs, and the economic impact of speed limits. He teaches courses on competition regulation, transport economics, and industrial organization. Prof. Sieg frequently engages with public policy debates, contributing to media discussions on infrastructure rehabilitation, climate policy, and mobility transitions. His work bridges academic research with practical policy solutions, emphasizing sustainable and equitable transport systems.

• Machine Learning
• Data-Driven Modeling
• Numerical Solutions of Partial Differential Equations
• +۵ مورد دیگر

Kailiang Wu is an Associate Professor at the Department of Mathematics, Southern University of Science and Technology (SUSTech), and holds concurrent roles at the Shenzhen International Center for Mathematics and National Center for Applied Mathematics Shenzhen. His research bridges Machine Learning and Computational Fluid Dynamics , focusing on High-Order Numerical Methods for Hyperbolic Conservation Laws and Relativistic Astrophysics . Education: Ph.D. in Mathematics (Peking University, 2016), B.Sc. in Mathematics and Statistics (Huazhong University of Science and Technology, 2011) His work develops Structure-Preserving Schemes for multidimensional PDEs, including Oscillation-Eliminating Discontinuous Galerkin (OEDG) and Geometric Quasilinearization (GQL) frameworks. These methods ensure positivity , divergence-free , and bound-preservation in simulations of relativistic flows and MHD systems. Recent publications emphasize Deep Learning applications in operator learning (e.g., DUE framework) and Data-Driven Modeling of unknown PDEs. His group has produced 20+ peer-reviewed articles in top journals (Math. Comp., SIAM J. Numer. Anal., JCP) since 2014. Honors: SUSTech President's Research Award (2025) World's Top 2% Scientist (2024) NSFC Major Program (2023, 0.7M CNY) Shenzhen Distinguished Young Scholar (2023, 4M CNY) National Excellent Young Scholar Program (2020, 2M CNY) Zhong Jiaqing Mathematics Award (2019) He advises 10+ graduate students and postdocs, with alumni securing academic positions at Sun Yat-sen University and HKUST. His lab collaborates on relativistic hydrodynamics , traffic models , and uncertainty quantification , supported by competitive funding.

Raphaël Baroniمشاهده پروفایل

دانشیار

• Narratology
• French Linguistics
• Narrative Theory
• +۷ مورد دیگر

Raphaël Baroni is an Associate Professor of Teaching French as a Foreign Language at the School of French as a Foreign Language (EFLE), Faculty of Arts, University of Lausanne (UNIL). He has held this position since August 1, 2011, and has been actively involved in research and academic collaboration since 2005. He previously taught at the University of Michigan and conducted research at the Center for Research on Arts and Language (EHESS-CNRS) in Paris. His research centers on narratology, particularly narrative tension, plot dynamics, focalization, and transmedial storytelling, with a strong emphasis on the didactic applications of narrative theory in language learning. He aims to develop a general narrative theory while exploring its role as a reflective and pedagogical tool in French language acquisition. His work bridges literary theory, cognitive narratology, and language pedagogy. The recent scholarly output shows a consistent focus on narrative theory, especially in graphic narratives and transmedia contexts. His publications explore narrative pacing, segmentation, immersion, and the teaching of narrative concepts. There is a clear trend toward interdisciplinary research, connecting narratology with media studies, education, and cognitive science. Raphaël Baroni founded the French-speaking Narratology Network (RRN) and co-founded the Research Group on Language Biographies (GReBL) to strengthen interdisciplinary collaboration among Francophone scholars. These initiatives reflect his commitment to building academic communities around narrative studies. He has not received any scientific awards mentioned in the source material, and no information is available about advising students or securing research grants. His work is primarily theoretical and pedagogical, with a strong publication record in narratology and French language education.

• Economic Policy
• Regional Economics
• Tourism Economics
• +۳ مورد دیگر

Fabio Mazzola serves as Full Professor in the Department of Economics, Business and Statistics at the University of Palermo, concurrently holding the position of Vice Rector for Teaching and Internationalization from 2021 to 2027. His teaching portfolio for 2025/2026 spans Economic Policy across Economics and Business Administration and Economy and Finance programs, alongside specialized courses in Tourism Economics and Regional Policy for Tourism Systems and Hospitality Management. His research centers on Regional Economic Policy with three dominant strands: (1) EU cohesion policy effectiveness through spatial/spillover analyses of Italian regions; (2) Tourism-driven resilience in Mediterranean island economies compared to mainland territories; and (3) Crisis response mechanisms examining public expenditure impacts during economic downturns. Methodologically, he employs advanced panel and spatial econometric techniques for sub-national analysis. Publication trends (2019-2025) reveal consistent focus on regional disparities and policy evaluation , particularly assessing EU funds' additionality in Italy, tourism's role in island recovery, and asymmetric crisis impacts. Over 80% of his recent work analyzes Italian or Mediterranean contexts using NUTS-2/3 spatial units, with increasing emphasis on insular regions since 2020. Professor Mazzola maintains active student engagement through thesis supervision (listed as 'Edited theses' in his profile) and structured office hours on Mondays, though specific advising details remain unpublished. His research operates without documented external funding or awards in the provided materials.

Philippe Moireauمشاهده پروفایل

استاد

• Inverse Problems
• Data Assimilation
• Partial Differential Equations
• +۴ مورد دیگر

Philippe Moireau is a Full Professor in the Department of Applied Mathematics at École Polytechnique, where he is also affiliated with the Center for Applied Mathematics (CMAP). He serves as the head of the Inria Project-Team MΞDISIM (Mathematical and Mechanical Modeling with Data Interaction for Simulation in Medicine) and holds the distinguished position of Ingénieur Général of The Corps des Mines. His primary research focuses on inverse problems and data assimilation for partial differential equation models, with particular emphasis on: Observer-based methods from optimal control perspectives Stabilization approaches for evolution equations Numerical analysis of time-dependent control problems Digital twin applications in cardiovascular medicine Professor Moireau's publication portfolio demonstrates consistent focus on mathematical methods for physical systems, with recurring themes in: Data assimilation techniques for PDE-based models Numerical stabilization and discretization methods Cardiovascular biomechanics and hemodynamics Stochastic modeling of biological systems Epidemiological forecasting and control He leads the ANANKΞ project-team at Inria focused on Analysis And Numerics of physical-Knowledge-based Estimation. His educational contributions include lectures on data assimilation theory at CEMRACS and courses on mathematical modeling in cardiac biomechanics at Institut Polytechnique de Paris.

Éric Tanterمشاهده پروفایل

استاد

• Programming Languages
• Gradual Typing
• Software Engineering
• +۹ مورد دیگر

Éric Tanter is a Full Professor in the Computer Science Department (DCC) at the University of Chile, where he also leads the PLEIAD Lab. He holds an Inria International Chair (2025–2029) and is an Associate Researcher at the Millenium Institute for Foundational Research on Data (IMFD). His academic leadership includes prior roles as Director and Deputy Director of the DCC, and Coordinator of the PhD Program in Computer Science. His research centers on programming languages and software engineering, with a strong focus on gradual typing, type systems, program verification, and secure programming. He explores both theoretical foundations and empirical practices, aiming to bridge the gap between static and dynamic language paradigms. His recent work emphasizes gradual verification, refinement types, and applications in proof assistants and security. The trends in his recent publications show a deep engagement with foundational aspects of gradual and dependent typing, often aiming to enhance the reliability and security of software systems. These works frequently involve formalization in proof assistants like Coq and explore applications in differential privacy, secure interoperability, and symbolic execution. Inria International Chair (2025–2030) Best Paper Awards at POPL 2019, OOPSLA 2018, ICFP 2018, MSR 2011, AOSD 2010, SBLP 2008, DAIS 2006 Most Influential/Most Notable Paper Awards at DLS, Programming, DLS Facebook Research Testing and Verification Award (2018) Google Faculty Research Awards (2015, 2016) Best Professor Award, University of Chile (2011) Éric Tanter has advised numerous PhD and Master’s students, many of whom have gone on to publish influential work in top venues. He has led multiple research projects funded by FONDECYT, ANID, INRIA, and other national and international agencies. His service includes editorial roles in journals such as the Journal of Functional Programming and Science of Computer Programming, and extensive participation in program committees of major conferences like POPL, ICFP, and OOPSLA. He leads the PLEIAD Lab at the University of Chile, a research group focused on programming languages, software engineering, and formal methods. The lab fosters collaboration with international institutions and emphasizes both theoretical rigor and practical impact.

Jonathan Huمشاهده پروفایل

استاد

• Optics
• Photonics
• Nanophotonics
• +۱۱ مورد دیگر

Dr. Jonathan Hu is a Professor in the Department of Electrical and Computer Engineering at Baylor University's School of Engineering and Computer Science. He holds a PhD from the University of Maryland Baltimore County (2008) and completed a postdoctoral fellowship at Princeton University (2009–2011). He is an active researcher in optics and photonics, leading the Photonics Research Laboratory and advising both graduate and undergraduate research assistants. Research Interests: Nanophotonics and metamaterials for photovoltaic and biomedical applications Mid-IR supercontinuum generation using chalcogenide photonic crystal fibers 2D materials such as graphene and their alignment via magnetic fields Coherent optical communication and quantum optical Fredkin gates Numerical simulation of electromagnetic problems and leaky mode analysis His recent publications (2019–2024) demonstrate a strong focus on quantum plasmonics, specialty optical fibers, optofluidics, and nonlinear optical phenomena, with high-impact work in journals like Science Advances , ACS Photonics , and Advanced Materials . The research shows a clear trend toward integrating photonics with 2D materials and quantum systems, with applications in sensing, communication, and materials characterization. Scientific Awards and Recognition: 35 Baylor faculty named among top 2% most cited researchers (2023) Editor’s Pick, Journal of Applied Physics (2018) Top three downloads in OSA journals for three consecutive months (2009) NSF Graduate Research Fellowship (awarded to advisee) Chinese Government Award for Outstanding Self-Financed Students Abroad (awarded to advisee) Second Place in FiO + LS Student Competition (awarded to advisee) Advising and Grants: Dr. Hu actively mentors students at all levels, with current graduate research assistants including Wei Zhang, Zhihao Hu, and Sterling Walzel. His lab is supported by external funding, though specific grants are not detailed in the text. He has advised PhD students such as Joshua Young, Chao Niu, and Chengli Wei, many of whom have gone on to successful academic and industry careers. His teaching includes core courses like EGR 1302, ELC 2320, and ELC 4320, as well as advanced topics in computational photonics and integrated photonics. Labs and Teams: He leads the Photonics Research Laboratory at Baylor University, located at the BRIC facility. He is also involved with the Baylor University Optica Student Chapter, promoting optics outreach and networking among students and researchers.

Riikka Puurunenمشاهده پروفایل

دانشیار

• Catalysis
• Atomic Layer Deposition
• Sustainable Chemistry
• +۷ مورد دیگر

Riikka Puurunen is an Associate Professor at Aalto University's Department of Chemical and Metallurgical Engineering, leading the Catalysis group since 2017. Her work focuses on developing solid heterogeneous catalysts using atomic layer deposition (ALD), microreactors, and in situ testing methods to advance sustainable biomass-based solutions.