جست‌وجوی استاد و پژوهشگر

• Religious Education
• Islamic Studies
• Educational Psychology
• +۴ مورد دیگر

Francesc Xavier Marín Torné serves as an Associate Professor in the Department of Educational Sciences at the Faculty of Psychology, Educational Sciences and Sports, Blanquerna, Universitat Ramon Llull in Barcelona, Spain. His academic profile demonstrates extensive engagement with religious education, particularly Islamic studies within Catalan public schools, and the educational potential of sacred architecture. His research bridges educational theory, religious studies, and architectural analysis, with a distinctive focus on the Sagrada Familia basilica as a paradigmatic educational space. His primary research interests include: Religious education in pluralistic societies, with particular emphasis on Islamic education in Catalan public schools The pedagogical potential of sacred architecture and worship spaces as educational environments Intercultural and interreligious dialogue in educational contexts Educational approaches to social inclusion and coexistence with Maghrebi students The psychological dimensions of religious education and misinformation Peace education through religious understanding and architectural spaces Dr. Marín Torné's scholarly output reveals a cohesive trajectory examining worship spaces through multiple lenses - theological, architectural, and pedagogical - with the Sagrada Familia serving as his central case study. His research also addresses contemporary societal challenges including the psychological effects of pandemic misinformation and the integration of religious minorities in educational settings. This work contributes significantly to understanding how religious diversity can be accommodated within secular educational frameworks while maintaining social cohesion. He currently leads the GREDA (Research Group in Education, Didactics and Learning) project (2022-2025) funded by AGAUR, and previously directed the EDUISLAM project (2023-2024) analyzing Catalonia's pilot plan for Islamic religious education. His earlier work includes the 2007-2008 project developing guidelines for secondary school teachers working with Maghrebi students and the 2015 Ramon Llull legacy project commemorating the 700th anniversary of Llull's death. Dr. Marín Torné maintains active research collaborations across multiple disciplines and institutions, contributing to both theoretical scholarship and practical applications in teacher training and educational policy development. His work demonstrates consistent scholarly productivity with numerous publications appearing through 2024.

Frank Cowellمشاهده پروفایل

استاد

• Inequality
• Poverty
• Income Distribution
• +۵ مورد دیگر

Frank Cowell is a Professor of Economics at the London School of Economics (LSE), where he serves as a CASE (Centre for Analysis of Social Exclusion) and STICERD (Suntory and Toyota International Centres for Economics and Related Disciplines) Associate. His academic work spans several decades with publications dating from the early 1990s through to 2018, demonstrating sustained scholarly contribution to the field of economics. Professor Cowell's research primarily focuses on inequality and poverty measurement, income and wealth distribution, taxation, and social mobility. His work combines theoretical economic analysis with empirical applications across different countries and contexts. His research interests include methodological approaches to measuring inequality, particularly addressing challenges related to top incomes and wealth concentration, as well as examining the relationship between social identity and redistributive preferences. His publication record reveals consistent engagement with methodological issues in inequality measurement, with numerous papers addressing statistical robustness, decomposition techniques, and comparisons of income and wealth distributions across countries. His more recent work has increasingly focused on wealth distribution, inheritance, and intergenerational mobility, reflecting evolving scholarly interest in these areas. He has collaborated extensively with researchers across Europe, particularly on cross-national comparative studies using datasets like the Luxembourg Wealth Study. Professor Cowell has made significant contributions to the theoretical foundations of inequality measurement, developing alternative approaches that address limitations in conventional indices. His work on median-normalized inequality measures represents an important methodological innovation aimed at better capturing changes at the top of the income distribution. Throughout his career, Cowell has examined the relationship between economic theory and empirical measurement, often bridging gaps between abstract welfare economics and practical policy applications. His research has implications for tax policy design, social welfare programs, and understanding the dynamics of economic inequality across different populations and time periods. As a CASE and STICERD Associate, Professor Cowell contributes to LSE's research environment focused on social exclusion, inequality, and public policy analysis. His work has been published in numerous discussion papers, journal articles, and book chapters, establishing him as a significant contributor to the field of distributional economics.

David Steurerمشاهده پروفایل

دانشیار

• Theoretical Computer Science
• Algorithms
• Sum-of-Squares Method
• +۵ مورد دیگر

David Steurer is an Associate Professor in the Department of Computer Science at ETH Zurich, where he leads the Institute for Theoretical Computer Science. His research bridges theoretical computer science, mathematics, and practical applications in machine learning and statistics. Steurer has made significant contributions to the understanding of sum-of-squares methods, semidefinite programming, and high-dimensional estimation problems. Steurer earned his B.Sc. & M.Sc. in Computer Science from Saarland University in 2006, followed by a Ph.D. in Computer Science from Princeton University in 2010 under the supervision of Sanjeev Arora. His doctoral dissertation, "On the Complexity of Unique Games and Graph Expansion," received an Honorable Mention for the ACM Doctoral Dissertation Award in 2011. Steurer's research focuses on algorithm design through mathematical programming relaxations, particularly semidefinite programming and the sum-of-squares method. His work addresses computational complexity of high-dimensional estimation problems including tensor decomposition, clustering, Gaussian mixture models, and stochastic block models. He also investigates algorithmic aspects of robustness and differential privacy, especially for estimation tasks. His theoretical contributions have practical implications for machine learning and data analysis in the presence of noise and adversarial conditions. Analysis of Steurer's recent publications reveals a consistent trajectory in advancing the sum-of-squares framework for high-dimensional estimation and robust statistics. His work demonstrates how sophisticated mathematical programming techniques can provide certifiable guarantees for challenging problems in machine learning. The research spans theoretical foundations while maintaining relevance to practical applications, particularly in scenarios involving corrupted or noisy data. A notable trend is the extension of sum-of-squares methods to handle increasingly complex statistical models while providing rigorous performance guarantees. ERC Consolidator Grant (2019) Michael and Sheila Held prize (2018, with Raghavendra) Invited speaker at International Congress of Mathematicians (2018) STOC Best Paper Award (2015) Alfred P. Sloan Research Fellowship (2014) NSF CAREER Award (2014) Microsoft Research Faculty Fellowship (2014) FOCS Best Paper Award (2010) Steurer has advised numerous PhD students and postdocs who have gone on to prominent positions, including Sam Hopkins (now faculty at MIT), Jonathan Shi, and Aaron Potechin. His research is supported by multiple prestigious grants, including an ERC Consolidator Grant, an NSF CAREER Award, and a Microsoft Research Faculty Fellowship. He has served on numerous program committees for top theoretical computer science conferences and has been recognized for his service to the community through roles such as internal member of the Scientific Advisory Committee of the Institute for Theoretical Studies at ETH Zurich. As head of the Institute for Theoretical Computer Science at ETH Zurich, Steurer leads a research group focused on advancing the theoretical foundations of computer science with particular emphasis on mathematical optimization methods. His team explores the boundaries of what can be efficiently computed in high-dimensional settings, with applications spanning machine learning, statistics, and data science. The group maintains strong connections with both theoretical and applied researchers across ETH and the broader academic community.

Théodora PSYCHOYOUمشاهده پروفایل

استاد

• History of musical theory
• Early music (Baroque)
• Music and science in the 17th and 18th centuries
• +۵ مورد دیگر

Théodora PSYCHOYOU is Professor at the Department of Music and Musicology of Sorbonne University and a permanent member of the Institute for Research in Musicology (IReMus – UMR 8223), which she directed from 2022 to 2024. She currently serves as Director of the Collegium Musicæ institute of the Sorbonne University alliance and is responsible for two Master's programs: Interpretation of Early Music - Baroque Music track, and the Franco-Italian Master's in Musicology Research in partnership with the University of Palermo. Her research focuses on the history and mechanisms of discourse on music in 17th and early 18th century France, the economy and status of musical and theoretical sources, and religious music in the 17th century, particularly the works of Marc-Antoine Charpentier (1643-1704). Her specialty areas include early music (Baroque), historically informed practice, history of musical theory, music and science in the 17th and 18th centuries, religious music in the modern era, study of sources, musical ecdotics, reception of antiquity and Hellenism, and the Ancients and Moderns debate. She has organized numerous research seminars and conferences on these topics, including the Hellenism seminar and the ANR Agon project. Her recent publications demonstrate a strong focus on the intersection of music with science, philosophy, and cultural history from the 17th century to contemporary times. She has made significant contributions to understanding the reception of ancient musical thought in modern contexts, the relationship between music and scientific developments, and the cultural significance of musical practices across different historical periods and geographical contexts. Her work spans historical musicology, theoretical approaches, and contemporary applications. Mention spéciale du Prix des Muses 2010 Prix des Muses 2007 dans la catégorie ouvrage collectif As an academic leader, she has directed major research initiatives including the Hellenism seminar, ANR Agon project, and Baroque XXI Praxis. She serves as Vice President of the International Musicological Society (2022-2027) and has held significant administrative roles including Director of IReMus (2022-2024) and Director of Collegium Musicæ (2023-present). Her collaborative work extends to international partnerships, particularly with Greek institutions, reflecting her interest in Hellenism and Mediterranean musical cultures. Her laboratory work focuses on critical musical editions, performance practices, history of musical theories, historiography, gender studies in music, music and religion, iconography, organology, and aesthetics. She leads research teams investigating the intersection of music with other disciplines, particularly through the Collegium Musicæ which connects music with sciences.

Alex Richterمشاهده پروفایل

استاد

• Human-AI Collaboration
• The Future of Work
• Digital Humans
• +۱۰ مورد دیگر

Professor Alex Richter is a Professor of Information Systems at the School of Information Management, Victoria University of Wellington, where he also serves as Director of the Executive MBA program and PhD Director. He leads the Digital Work Lab and edits the Digital Work Diaries. With over 150 refereed publications cited more than 11,500 times, Professor Richter is a leading researcher in the field of Information Systems, recently ranked 285th globally among 18,561 researchers in the Information Systems sub-field on the Top 2% Scientists List. Professor Richter's research focuses on how digital technologies transform work to enhance innovation, productivity, and employee satisfaction. His primary areas of interest include Human-AI Collaboration , Digital Work and Innovation , Value-driven design , and The Future of Work . He explores practical applications of human-AI collaboration with global industry partners, identifying use cases, benefits, risks, and enablers of adoption. His conceptual work emphasizes value-driven, context-aware, and adaptive approaches to create meaningful sociotechnical systems. His recent publications demonstrate a strong trend toward understanding the evolving relationship between humans and AI in workplace settings. Professor Richter's work examines trust in generative AI across organizational departments, the transformation of innovation practices through human-AI collaboration, and the implementation challenges of emerging technologies like augmented reality. His research consistently bridges theoretical frameworks with practical applications, focusing on how organizations can effectively integrate AI while maintaining human-centered values. Top 2% Scientists List (2024), ranking 285th globally among 18,561 researchers in Information Systems 'Innovation in Teaching Award' from the Association for Information Systems (2024) Research Fellow (2022) Multiple best paper awards throughout his career Professor Richter actively supervises numerous PhD students working on human-AI collaboration topics, including Carlos Forero, Chloe Latto, Ghazaleh Moqadam, Hedi Bigham Sohanaki, Jingyu Zheng, Mina Sanabadi, Shafiqul Alam, and Yao Zhang. He has successfully led research projects funded by the European Union, national governments, and organizations across Germany, Switzerland, Denmark, Australia, and the USA. His engaged scholarship approach connects academic research with practical industry applications. As Director of the Digital Work Lab, Professor Richter leads a team exploring the future of work in the digital age. The lab investigates how digital technologies transform work practices, with particular focus on hybrid work environments, visibility in digital workplaces, and human-AI collaboration. Through the Digital Work Diaries initiative, the lab documents and analyzes real-world digital work transformations, providing practical insights for organizations navigating digital change.

• water resources planning and management
• systems thinking and modelling
• sustainable development
• +۷ مورد دیگر

Evan Davies is a Professor in the Civil and Environmental Engineering Department at the University of Alberta's Faculty of Engineering. He has been a Full Professor since July 2021, following his promotion from Associate Professor (2015-2021) and Assistant Professor (2009-2015) positions at the same institution. Education: Ph.D. (Civil and Environmental Engineering), The University of Western Ontario, London, Ontario (2003-2007) M.E.S. (Environment and Resource Studies), The University of Waterloo, Waterloo, Ontario with field research in China and India (2001-2003) B.A.Sc. (Systems Design Engineering), The University of Waterloo, Waterloo, Ontario, including a year-long exchange at Technical University of Hamburg-Harburg, Germany (1995-2001) Evan Davies' primary research focuses on water resources planning and management, systems thinking and modeling, and sustainable development. His work develops and applies hydrological, water use, and water quality models to understand complex feedbacks among water availability, use, and quality within their social, economic, and environmental contexts. His research spans municipal to global spatial scales and daily to decadal time scales, aiming to provide decision-makers with tools to compare structural, management, and policy alternatives for sustainable water planning. His recent projects include global and regional-scale modeling of water security and the water-energy-food nexus, irrigation reservoir management, municipal water demand projections, flood risk management, and chloramine dissipation in stormwater pipes. Recent research trends show a strong focus on: Integrated assessment modeling of water-energy-food systems Climate change impacts on water resources Machine learning applications in hydrology Water security under decarbonization scenarios Flood risk assessment and management Sustainable urban water systems Scientific Awards: Faculty of Engineering Graduate Teaching Award, University of Alberta (2020-2021) Faculty of Engineering Undergraduate Teaching Award, University of Alberta (2018-2019) Doctoral Fellowship (CGS), Natural Sciences and Engineering Research Council (2005-2007) University of Western Ontario Graduate Tuition Scholarship (2005-2007) Ontario Graduate Scholarship in Science and Technology (2004-2005) Masters/Doctoral Fellowship (PGS A/B), Natural Sciences and Engineering Research Council (2002-2004) Davies has supervised numerous graduate students working on projects related to water resources planning and management. His research has been supported by various grants, including funding from the Natural Sciences and Engineering Research Council. He collaborates extensively with researchers at the Joint Global Change Research Institute (JGCRI) in College Park, MD, and with government agencies and industry partners on water management projects across Canada, particularly in Alberta's Bow River basin. Davies leads a research group focused on water resources systems modeling, which employs system dynamics, optimization techniques, and machine learning approaches to address complex water management challenges. His team collaborates with decision-makers and stakeholders to ensure research outcomes are directly applicable to real-world water management problems.

Florent Krzakalaمشاهده پروفایل

استاد

• Statistical Physics
• Machine Learning
• Probability and Statistics
• +۶ مورد دیگر

Florent Krzakala is a Full Professor at École polytechnique fédérale de Lausanne (EPFL) in Switzerland, holding positions across multiple departments including the School of Basic Sciences (SB), School of Engineering (STI), and specifically within the Department of Physics (IPHYS) and Department of Electrical Engineering (IEM). He leads the Information, Learning and Physics Laboratory (IdePHICS) and maintains an office at ELD 239, Station 11, 1015 Lausanne. His research bridges statistical physics and computational disciplines, with significant contributions to understanding the theoretical foundations of machine learning and optimization problems. Dr. Krzakala received his MSc in Physics from Orsay, France in 1999, followed by a PhD in Statistical Physics from Orsay, Paris XI, France in 2002, and completed a postdoctoral position at Roma La Sapienza in 2004. This strong foundation in physics has informed his interdisciplinary approach to computational problems. His research interests span Statistical Physics, Machine Learning, Probability and Statistics, Computer Science, Information Theory, Inference on Graphs, Random Constraint Optimization, and Computational Optics. Krzakala's work focuses on applying methods from statistical physics to problems in theoretical computer science, probability, and machine learning. He investigates how concepts from disordered systems and phase transitions can illuminate computational barriers in optimization and inference tasks. His research has particular relevance for understanding the behavior of neural networks, compressed sensing, and high-dimensional statistical models. Analysis of his recent publications reveals a strong trend toward understanding the fundamental limits of learning in high-dimensional settings, with particular emphasis on phase transitions, statistical-to-computational gaps, and the theoretical properties of deep learning architectures. His work frequently bridges rigorous mathematical analysis with practical machine learning applications, demonstrating how insights from statistical physics can inform algorithm design and theoretical understanding in AI. Krzakala actively mentors the next generation of researchers, supervising numerous PhD students whose work continues to advance these interdisciplinary fields. His laboratory serves as a hub for researchers exploring the intersection of physics and computation, fostering collaborations across traditional disciplinary boundaries. He teaches advanced courses including Fundamentals of Inference and Learning, Statistical Physics, and Statistical Physics for Optimization & Learning, which examine the connections between physical principles and computational methods. His educational materials, including lecture notes on statistical physics methods in optimization and machine learning, have become valuable resources for students and researchers worldwide. As founder and scientific advisor of the startup Lighton, Krzakala has also demonstrated a commitment to translating theoretical insights into practical applications, particularly in the realm of optical computing for machine learning tasks.

Mark Mazowerمشاهده پروفایل

استاد

• Modern Greek History
• 20th-Century European History
• International History
• +۳ مورد دیگر

Mark Mazower is the Ira D. Wallach Professor of History at Columbia University, where he has established himself as a leading historian specializing in modern Greece, 20th-century Europe, and international history. He also serves as the Stavros Niarchos Foundation Director of the Columbia Institute for Ideas and Imagination in Paris, which brings together scholars with leading artists, writers, composers and filmmakers from around the world to foster innovative interdisciplinary collaboration. His educational background includes a D.Phil. from Oxford University (1988), an M.A. from Johns Hopkins University (1983), and a B.A. from Oxford University (1981). This strong academic foundation has positioned him as a preeminent historian with expertise spanning multiple historical periods and geographical regions. Mazower's research focuses on modern Greek history, 20th-century European history, and international history, with recent work examining the historical evolution of the Greek islands over the very long term. His scholarship bridges academic rigor with public engagement, as he frequently contributes commentary on international affairs and book reviews to major publications including the Financial Times , The Nation , the London Review of Books , and the New York Review of Books . In 2016, he expanded his public engagement through the film Techniques of the Body , a meditation on the refugee crisis in Greek history created with director Constantine Giannaris. His publications reveal a consistent focus on understanding the complex interplay between national histories and broader international frameworks. Mazower's work often examines how local experiences intersect with global forces, particularly in the context of war, occupation, state formation, and the development of international institutions. His approach combines deep archival research with conceptual innovation, making significant contributions to our understanding of European history, Greek history, and international relations. Mazower's scholarly achievements have been recognized with numerous prestigious awards: Gennadius Prize (2023) Honorary Citizenship from the Republic of Greece (2022) Fellow of the British Academy (2019) D. Litt., honoris causa , Catholic University of Leuven (2019) D. Litt., honoris causa , University of Athens (2015) Dido Sotiriou Award of the Hellenic Authors Society (2012) Society of Columbia Graduates Great Teacher Award (2011) Fellow, American Academy of Arts and Sciences Hitler's Empire: Trilling Award and LA Times Book Prize for History (2009) Salonica, City of Ghosts: Duff Cooper Prize (2005) As an educator at Columbia University, Mazower has mentored numerous students in the Department of History, guiding research in modern European history, Greek history, and international history. His leadership extends to directing the Columbia Institute for Ideas and Imagination in Paris, which has received significant funding from the Stavros Niarchos Foundation to support interdisciplinary collaboration between scholars and creative artists from around the world. At the Columbia Institute for Ideas and Imagination, Mazower has created a unique intellectual environment where historians work alongside artists, writers, and filmmakers to explore new approaches to understanding complex historical and contemporary issues. This innovative space reflects his commitment to bridging academic scholarship with creative expression and public engagement, fostering dialogue across disciplinary boundaries to address pressing global challenges.

Christopher D. Limaمشاهده پروفایل

استاد

• Structural Biology
• Biochemistry
• Macromolecular Structure
• +۶ مورد دیگر

Christopher D. Lima is a Professor and Chair of the Structural Biology Program at the Sloan Kettering Institute (SKI), Memorial Sloan Kettering Cancer Center (MSKCC), and an Investigator of the Howard Hughes Medical Institute. He holds the Alfred P. Sloan Chair. His research focuses on understanding the structural, biochemical, and functional mechanisms of macromolecules involved in post-translational protein modification by ubiquitin-like proteins (e.g., SUMO) and RNA processing pathways, including co- and post-transcriptional RNA maturation and decay. His lab employs cryo-electron microscopy (cryo-EM), X-ray crystallography, and biochemical reconstitution to study these processes. Education: PhD, 1994, Northwestern University BA, 1989, The Ohio State University Research Interests: Structural basis of ubiquitin and SUMO conjugation pathways Mechanisms of RNA surveillance and decay by the nuclear exosome Role of RNA processing in cell cycle control and disease Interactions between RNA helicases and exosome complexes Awards & Honors: Member, National Academy of Sciences (2020) Fellow of the American Academy of Arts and Sciences (2017) HHMI Investigator (2013) Louise and Allston Boyer Young Investigator (2006) Advising & Grants: Lima mentors numerous graduate students and postdoctoral researchers. His lab has received funding from the NIH, HHMI, and other institutions to support research into RNA processing and ubiquitin pathways. He collaborates widely, including with teams at MSKCC and other academic institutions. Labs & Teams: The Lima Lab is part of the Tri-Institutional PhD Program in Chemical Biology and the Gerstner Sloan Kettering Graduate School. The lab has made groundbreaking contributions to understanding SUMOylation and RNA exosome mechanisms, with key findings published in Nature , Cell , and Science .

Lara Andersonمشاهده پروفایل

دانشیار

• String Theory
• Mathematical Physics
• Calabi-Yau Manifolds
• +۴ مورد دیگر

Lara Anderson is an Associate Professor in the Department of Physics at Virginia Tech's College of Science. Her research focuses on the intersection of geometry and string theory, particularly in the context of Calabi-Yau manifolds, F-theory, and heterotic string compactifications. She holds a Ph.D. from the University of Oxford, with a thesis in Mathematical String Theory. Her research interests include string phenomenology, geometric structures in compactifications, and the application of machine learning to approximate Calabi-Yau metrics. Key areas of exploration involve fibrations, Yukawa couplings, and moduli stabilization in heterotic and F-theory frameworks. Anderson has been recognized with a Graduate Research Fellowship in 2004. Her work spans over 50 publications, including contributions to understanding dualities between heterotic and F-theory models, the role of spectral covers in heterotic compactifications, and algorithmic approaches to heterotic phenomenology. She has also organized workshops on F-theory and string geometry, reflecting her leadership in interdisciplinary research. Her research has implications for both pure mathematics and particle physics, bridging abstract geometric concepts with concrete physical predictions. Current projects include exploring the geometric constraints in dual string models and developing numerical tools for studying Calabi-Yau metrics.

• Combustion Engineering
• Aerospace Propulsion
• Thermodynamics
• +۳ مورد دیگر

Carson Slabaugh is an Assistant Professor in the Department of Aeronautics and Astronautics and holds a courtesy appointment in the Department of Mechanical Engineering at Purdue University. His research focuses on advanced propulsion systems, particularly combustion dynamics in rotating detonation engines (RDEs), rocket combustors, and ramjet configurations. He leads studies on high-pressure flames, laser diagnostics, and fuel injection mechanisms. Key research areas include detonation wave propagation, pressure gain combustion, and the application of advanced optical diagnostics (e.g., CARS, PLIF) to study transient phenomena in extreme environments. His work addresses challenges in next-generation propulsion systems, including hydrogen-blend fuels, methane-oxygen rocket ignition, and solid-fuel ramjet performance. Recent studies emphasize geometric optimization of RDEs, fuel injection dynamics under detonation conditions, and the impact of flow parameters on combustion stability. Collaborations involve experimental validation with high-speed imaging and computational fluid dynamics (CFD) modeling to bridge theoretical predictions with real-world performance. Slabaugh’s laboratory develops novel diagnostic tools for megahertz-rate imaging of mixing and combustion processes, advancing understanding of transient flame structures and instability mechanisms. His contributions aim to improve efficiency and operability of propulsion systems for aerospace and terrestrial applications.

Thomas Colasمشاهده پروفایل

پژوهشگر

• Theoretical Cosmology
• Open Quantum Systems
• Effective Field Theories
• +۳ مورد دیگر

Dr. Thomas Colas is a theoretical cosmologist at the University of Cambridge's Department of Applied Mathematics and Theoretical Physics (DAMTP), part of the Relativity and Gravitation research group. His work focuses on Open Effective Field Theories (OEFT) and non-unitary effects in the early universe, leveraging quantum information theory and non-equilibrium quantum field theory techniques. His research bridges cosmology with condensed matter physics and quantum optics to understand inflationary dynamics and quantum fluctuations' role in cosmic inhomogeneities. Key research themes include modeling uncertainties in early universe physics through OEFT, studying decoherence and dissipation in cosmological systems, and analyzing quantum-to-classical transitions during inflation. His work addresses foundational questions about how quantum mechanics operates in extreme cosmological contexts, such as the primordial vacuum's imprint on the cosmic microwave background and large-scale structures. Recent publications highlight advancements in OEFT frameworks for light-matter interactions, entropy calculations in curved spacetimes, and recoherence mechanisms in expanding universes. These contributions advance our understanding of how hidden sectors and unaccounted degrees of freedom influence cosmological observables. Dr. Colas maintains active collaborations through his research group and engages with experimental cosmology via data analysis tools like the SDSS/BOSS dataset, bridging theoretical insights with observational tests of early universe models.

Sim Innesمشاهده پروفایل

مدرس ارشد

• Medieval & Early Modern Gaelic Literature
• Gaelic Folklore
• Gaelic Drama
• +۴ مورد دیگر

Dr Sim Innes is a Senior Lecturer in Celtic and Gaelic at the University of Glasgow's College of Arts, where he also serves as Senior Adviser of Studies for Arts & Humanities Academic & Student Administration. His work focuses on Scottish Gaelic literature, folklore, and drama across historical periods from medieval to contemporary contexts. Dr Innes's research centers on three primary areas: Medieval & Early Modern Gaelic Literature and Manuscript Culture Gaelic Folklore Gaelic Drama His scholarly work demonstrates consistent engagement with international influences on Gaelic poetry, transmission of cultural ideas, and evolution of Gaelic drama. He has made significant contributions to understanding the Book of the Dean of Lismore, McLagan Collection, and Ossianic/Fenian literature, with particular focus on how global ideas were incorporated into Gaelic poetic traditions across historical periods. Dr Innes has received notable recognition through various awards and funding including: Royal Society of Edinburgh Network Award for 'Gaelic Literature in Enlightenment Scotland' (£15,000) Bòrd na Gàidhlig funding for 'Seanchas: The Global Gaelic Jukebox' (£3,250) Scottish Gaelic Texts Society award British Academy International Partnership and Mobility Scheme participation As an educator, Dr Innes has supervised numerous PhD and MRes students working on diverse aspects of Gaelic literature, folklore, and manuscript studies. His teaching portfolio includes undergraduate and postgraduate courses on The Folklore of Gaelic Scotland, Introduction to Classical Gaelic, Gaelic Drama from 1790, and Translation Studies. He has also been actively involved in external engagement through board memberships with the Gaelic Books Council, Scottish Gaelic Texts Society, and Theatre Gu Leòr.

Wen Wangمشاهده پروفایل

استاد

• Biomedical Engineering
• Vascular Bioengineering
• Biomaterial Mechanics
• +۱۴ مورد دیگر

Prof Wen Wang is Professor of Biomedical Engineering and Vice-Principal and Executive Dean for Science and Engineering at Queen Mary University of London, affiliated with the School of Engineering and Materials Science and the Centre for Bioengineering. He is a Chartered Engineer and holds fellowships from the Institution of Mechanical Engineers (FIMechE), Higher Education Academy (FHEA), American Institute for Medical and Biological Engineering (FAIMBE), and the Royal Academy of Engineering (FREng), reflecting his leadership and technical excellence in engineering and biomedical sciences. His research focuses on vascular bioengineering , biomaterial mechanics , and cell biomechanics , with particular emphasis on the endothelial glycocalyx , vascular stem cells , and transmembrane transport . He employs advanced techniques such as AFM nano-indentation, confocal microscopy, and microfluidic platforms to study the mechanical properties, shear stress responses, and structural stability of biological systems. His work spans from fundamental biophysics to translational applications in drug delivery and cardiovascular disease. Prof Wang has led multidisciplinary research projects in the UK and through international collaborations with partners in the US, China, and Japan. His recent publications highlight sustained contributions to understanding microcapsule mechanics , extracellular vesicles , biofluid dynamics , and biomolecular sensing . His work integrates experimental and computational modeling, particularly in microcirculation and cellular transport phenomena. He has received notable scientific recognition through multiple prestigious fellowships and has published extensively in high-impact journals including Nature Communications , Journal of Controlled Release , Biosensors and Bioelectronics , and Journal of Fluid Mechanics . His research demonstrates a strong trajectory in both fundamental discovery and applied biomedical innovation. Prof Wang actively supervises research and collaborates with clinical and engineering partners at Queen Mary and King's College London. His leadership in the School of Engineering and Materials Science underscores his role in shaping academic strategy and research excellence in science and engineering at Queen Mary University of London.

• String Theory
• Supersymmetric Field Theory
• Differential Geometry
• +۳ مورد دیگر

Andrew Neitzke is a Professor of Mathematics at Yale University, where he holds the Kline Tower office (KT 913). His research focuses on the intersection of string theory, supersymmetric field theory, and geometry, with notable contributions to spectral networks, Hitchin systems, and quantum field theory applications. He has taught advanced mathematics courses at both Yale and the University of Texas at Austin, including Vector Analysis, Differential Geometry, and Quantum Field Theory-related topics. His work bridges theoretical physics and pure mathematics, particularly in understanding geometric structures through quantum field theory frameworks. Key contributions include studies on WKB asymptotics, Stokes phenomena, and the interplay between spectral curves and topological strings. He maintains an active role in both research and education, with a prolific publication record in high-impact journals.