جست‌وجوی استاد و پژوهشگر

John Stantonمشاهده پروفایل

عضو هیئت علمی

• Constitutional Law
• Comparative Constitutional Law
• Local Government
• +۹ مورد دیگر

Dr John Stanton is a Reader in Law at City St George's, University of London, with a focus on Constitutional Law and Comparative Constitutional Law. He has held academic roles since 2010, previously at Kingston University and City University, and is a Visiting Lecturer at the University of Malta since 2018. PhD in Law (Kingston University London, 2010) LLB Law (University of Surrey, 2007) His research spans Maltese constitutional history , local government dynamics , democracy , and central-local relations . Recent projects include Law, Localism and the Constitution (2023) and co-editing The Constitution of Malta at Sixty (2024). John’s publications and conference presentations (e.g., at Melbourne and Texas) address themes like constitutional decay , autocracy , and democratic resilience . He contributes to journals such as Legal Studies , Public Law , and Environmental Law Review . Learning Enhancement Award for Teaching (2017) Fellow, Higher Education Academy He testified before the UK Parliament on devolution and is active in the Society of Legal Scholars , UK Constitutional Law Association , and the Honourable Society of the Inner Temple .

Paul Larsonمشاهده پروفایل

استاد

• Set Theory
• Topology
• Model Theory
• +۳ مورد دیگر

Paul Larson is a Professor of Mathematics at Miami University. His research focuses on set theory, topology, and model theory, with particular expertise in forcing axioms, descriptive set theory, and infinitary logic. He holds a Ph.D. in Mathematics from the University of California, Berkeley. His work bridges foundational mathematical logic with applications in topology and combinatorics. Key contributions include studies on canonical models under fragments of the Axiom of Choice, polar forcings, and cardinal characteristics. Larson has collaborated extensively with leading researchers such as Saharon Shelah and Jindřich Zapletal. His publications span prestigious journals like the Annals of Pure and Applied Logic and Transactions of the American Mathematical Society. Beyond research, he contributes to the academic community through editorial work and expository writings on historical developments in determinacy theory. Education: Ph.D., Mathematics, University of California, Berkeley Research interests emphasize foundational questions in set theory with applications to topology and model theory. His recent work explores advanced forcing techniques, square principles in Pmax extensions, and combinatorial properties of cardinal invariants. Publications reflect interdisciplinary engagement, including crystal structure prediction in high-pressure chemistry and operator theory in functional analysis. Despite an extensive publication record, no specific scientific awards are documented here. His advising and grant activities remain unspecified in the provided texts. Collaborations span international institutions, reflecting his role as a central figure in contemporary set theory research.

Jeroen Trompمشاهده پروفایل

استاد

• Seismology
• Computational Geophysics
• Earth Imaging
• +۵ مورد دیگر

Jeroen Tromp serves as the Blair Professor of Geology and Professor of Geosciences and Applied and Computational Mathematics at Princeton University, where he also directs the Princeton Institute for Computational Science and Engineering (PICSciE). His work centers on theoretical and computational seismology with applications across Earth and planetary sciences. His research interests focus on imaging Earth's interior through advanced computational techniques. Key areas include surface waves, free oscillations, body waves, seismic tomography, numerical simulations of 3-D wave propagation, and seismic hazard assessment. His group develops open-source software for acoustic, elastic and poroelastic wave propagation, addressing problems in exploration geophysics, regional and global seismology, and helioseismology. Current research trends show strong emphasis on Mars seismology (InSight mission), iron spin crossover in the lower mantle, tilted transverse isotropy in Earth's inner core, and crosstalk-free waveform inversion techniques across multiple scales. Tromp actively mentors graduate students and leads collaborative projects involving seismic wavefield imaging across planetary bodies. His group maintains strong connections with NASA's InSight mission and develops computational frameworks for global centroid moment tensor inversions. The research team operates within the Department of Geosciences, leveraging high-performance computing resources through PICSciE to tackle large-scale inverse problems in seismology.

Ralf Schindlerمشاهده پروفایل

استاد

• Mathematical Logic
• Set Theory
• Model Theory
• +۴ مورد دیگر

Prof. Dr. Ralf Schindler is a Professor at the Institute for Mathematical Logic and Fundamental Research within the Department of Mathematics and Computer Science at the University of Münster. His primary research focuses on foundational aspects of mathematical logic, particularly in set theory and model theory. Schindler's research explores core areas including inner model theory, forcing techniques, large cardinals, determinacy axioms, and descriptive set theory. His investigations address fundamental questions about the structure of mathematical universes, consistency proofs, and connections between set theory and other mathematical disciplines. Recent work emphasizes applications of determinacy hypotheses and extensions of Martin's Maximum. Schindler's publications demonstrate consistent focus on advanced set theory concepts from 2000 to 2021. Key trends include deep investigations into inner models (especially core models and mouse constructions), forcing axioms and their consequences, determinacy hypotheses, and the interplay between large cardinals and descriptive set theory. His collaborative works frequently appear in premier logic journals. Schindler has received significant recognition for his contributions: Hausdorff Medal (2022) Dov Gabbay Prize (2024) He leads the research project EXC 2044 - A2: Groups, model theory and sets , which investigates applications of model theory to arithmetic geometry, topological dynamics, and group theory, while addressing fundamental questions in geometric group theory and set theory foundations.

Chao Wangمشاهده پروفایل

دانشیار

• CO2 Capture and Conversion
• Electrocatalysis
• Thermocatalysis
• +۳ مورد دیگر

Chao Wang is an Associate Professor at the Department of Chemical and Biomolecular Engineering within the Whiting School of Engineering at Johns Hopkins University. He also serves as the Director of the Nano Energy Laboratory and the department’s Master’s Admissions Director. His research focuses on sustainable energy systems and nanomaterials for CO2 capture and conversion, electrocatalysis, thermocatalysis, and green chemical engineering. Education: Bachelor’s degree, University of Science and Technology of China (2004) Doctorate, Brown University (2009) Wang’s research targets efficient energy conversion and storage via nanomaterials with tailored atomic structures, emphasizing catalytic activity, selectivity, and stability. His group explores electrochemical and thermochemical processes for reduced carbon footprints, including CO2 and methane conversion, ammonia recovery, and phosphorus/nitrogen nutrient recycling using zeolite-based systems. Recent publications (2021–2024) highlight his work in high-entropy alloys, solid-state battery materials, CO2 electroreduction, and biomedical nanotechnologies. Collaborative efforts span catalysis, nanoparticle dynamics, and environmental applications. Grants include a $1M DOE award for multi-university research, a $625K DOE grant for electrified transportation systems, and $3M in startup funding for carbon-removal technology commercialization. Alumni under his mentorship include Ph.D. graduates like Michael J. Manto (2018) and Master’s students like Mitchell Keller (2018), with notable achievements in catalyst development for ammonia/phosphorus recovery and industry placements at Grace & Co. and GEA Engineering.

• Cryptography
• Computational Number Theory
• Computer Algebra
• +۳ مورد دیگر

Damien Stehlé is a Professor at the École Normale Supérieure de Lyon (ENS Lyon), affiliated with the Laboratoire LIP (CNRS, ENSL, INRIA, UCBL, U. Lyon) and a member of the AriC team. He is also a member of the Institut Universitaire de France. His research focuses on cryptography, computational number theory, and computer algebra, particularly lattice-based cryptography and its applications in post-quantum security. He has held editorial roles at the Journal of Cryptology and Designs, Codes and Cryptography, and served on committees for major conferences like ASIACRYPT and CRYPTO. His work has led to advancements in lattice reduction algorithms, cryptographic protocols (e.g., signatures, encryption schemes), and security proofs in the quantum random oracle model. Stehlé has supervised numerous PhD students, including Alice Pellet-Mary and Miruna Rosca, and has contributed to open-source lattice reduction software like fplll. His awards include Best Paper Awards at ASIACRYPT 2021 and 2015. He teaches advanced courses on post-quantum cryptography and cryptanalysis at the Master’s level.

Joel David Hamkinsمشاهده پروفایل

استاد

• Set Theory
• Computability Theory
• Philosophy of Mathematics
• +۷ مورد دیگر

Joel David Hamkins is the O’Hara Professor of Logic at the University of Notre Dame, with significant affiliations to logic and philosophy research communities in China and Japan. His work bridges set theory, computability, and philosophy of mathematics, focusing on foundational questions about infinity, truth, and mathematical existence. Key Research Areas : Set theory, potentialism, continuum hypothesis, surreal numbers, forcing, large cardinals, definability, halting problem history Recent Talks : Kobe University (2025), Notre Dame HPS Colloquium (2025), Fudan University seminars (2025), Peking University conference (2025) Scientific Contributions : 2024 arXiv paper on halting problem attribution, ongoing work on bi-interpretation of surreal arithmetic with ZFC, analysis of transitive submodel principles Awards & Recognitions : William Reinhardt Memorial Lecture (2025), former JSPS Fellowship at Kobe University Hamkins’ work reveals deep connections between technical set theory and philosophical inquiry, particularly through his modal logic approach to potentialism and analysis of truth nonabsoluteness. His 2024 paper with Theodor Nenu re-examines Turing’s legacy, while his technical collaborations with researchers from Fudan University and Oxford advance foundational mathematics.

• Seismology
• Geophysics
• Antarctic Ice Sheet Dynamics
• +۳ مورد دیگر

Dr. Thanh-Son Pham is an ARC DECRA Research Fellow in the Geophysics Department at The Australian National University’s Research School of Earth Sciences. His research focuses on using seismic waves to study Earth’s interior structures, from polar ice sheets to the inner core. He has pioneered methods like teleseismic P-wave coda autocorrelation and coda correlation wavefield analysis, leading to breakthroughs such as detecting J-waves in the inner core and identifying an innermost inner core layer. His work has been featured in Science , Nature Communications , and international media. He holds a PhD from ANU (2019) and has supervised research projects on Antarctic seismology and earthquake source physics. Awards include the 2024 Zatman lectureship from SEDI. Current projects include probing Antarctic ice sheets via correlation seismology and advancing machine learning tools for deep Earth studies. Education: PhD in Geophysics (ANU, 2019), Graduate Diploma in Earth System Physics (ICTP, 2015), BSc in Applied Mathematics (Hanoi University, 2013) Research interests span seismic source inversion, Antarctic ice dynamics, and inner core anisotropy. His 2024 articles address Hunga Tonga eruption mechanics and PKIKP wave analysis using deep learning. Media highlights include BBC, NYT, and ANU press releases.

Irina Rishمشاهده پروفایل

استاد

• Machine Learning
• Neural Scaling Laws
• Emergent Behaviors in AI
• +۱۳ مورد دیگر

Irina Rish is a Full Professor at the Université de Montréal and a core academic member of Mila – Quebec Artificial Intelligence Institute, where she leads the Autonomous AI Lab. She holds a Canada Excellence Research Chair (CERC) and a CIFAR AI Chair, reflecting her leadership in foundational AI research. Her work is supported by major initiatives, including the U.S. Department of Energy’s INCITE project on Summit and Frontier supercomputers. PhD in AI, University of California, Irvine MSc in AI, University of California, Irvine MSc in Applied Mathematics, Moscow Gubkin Institute Her research focuses on machine learning, neural scaling laws, emergent behaviors in foundation models, continual learning, robustness, and neuroscience-inspired AI . She explores how AI systems can become more general, flexible, and aligned with human cognition. Her recent work investigates training dynamics in large language models, efficient pruning techniques, and the development of time-series foundation models. The analysis of her recent publications reveals a strong focus on scaling behaviors, continual adaptation, and robustness in AI systems . Her work spans theoretical understanding of training dynamics (e.g., zero-sum learning), practical optimization methods, and applications in climate modeling and mental health. She emphasizes open science, leading open-source projects and co-founding Nolano.ai to build efficient, compressed foundation models. Canada Excellence Research Chair (CERC) CIFAR AI Chair IBM Eminence & Excellence Award (2018) IBM Outstanding Innovation Award (2018) IBM Outstanding Technical Achievement Award (2017) IBM Research Accomplishment Award (2009) Irina Rish advises a large group of PhD and Master’s students across Université de Montréal, McGill, and Concordia. She leads major research grants and collaborates internationally on HPC-based AI research. She is also the co-founder and CSO of Nolano.ai, driving innovation in efficient AI systems. She leads the Autonomous AI Lab, which focuses on building large-scale foundation models, understanding neural scaling laws, and developing bio-inspired learning systems. She actively organizes reading groups on scaling, continual learning, and out-of-distribution generalization, fostering a collaborative research environment.

Barzan Mozafariمشاهده پروفایل

دانشیار

• Database Systems
• Data Management
• Machine Learning
• +۳ مورد دیگر

Barzan Mozafari is an Associate Professor of Computer Science and Engineering at the University of Michigan, Ann Arbor, and leads a research group focused on scalable database systems and approximate computing. He holds a PhD from UCLA (2011) and was a Postdoctoral Associate at MIT. His research emphasizes data-intensive systems, combining statistical models, optimization, and machine learning to enhance database performance and predictability. Notable projects include BlinkDB (approximate query processing), DBSeer (database diagnosis), and VerdictDB (platform-independent AQP). He co-founded Keebo, advancing data learning technologies, and contributed to SnappyData (acquired by TIBCO). His work spans technical innovations like CATS/VATS scheduling algorithms (adopted in MySQL/MariaDB) and grants such as ConFlux (NSF-funded supercomputing-big data integration) and a smart black-box for autonomous vehicles. Awards include the NSF CAREER Award and Best Paper recognitions at SIGMOD and EuroSys. Teaching includes EECS 484/584 (Database Management Systems) and advanced topics courses. He advises students like Yongjoo Park (SIGMOD Dissertation Runner-Up), Jiamin Huang, and Boyu Tian.

Rongxing Luمشاهده پروفایل

استاد مدعو

• Applied Cryptography
• Privacy Enhancing Technologies
• IoT Security
• +۴ مورد دیگر

Rongxing Lu is an Adjunct Professor at the Faculty of Computer Science, University of New Brunswick (UNB), Canada, since August 2016. Previously, he held positions at Nanyang Technological University (NTU), Singapore (2012–2016) and the University of Waterloo, Canada (PhD in 2012). His research focuses on applied cryptography, privacy enhancing technologies, and IoT-big data security. He has over 7,500 citations and received prestigious awards like the Governor General’s Gold Medal (2012) and the IEEE ComSoc Asia Pacific Outstanding Young Researcher Award (2013). He is an IEEE senior member and serves on editorial boards of journals like IEEE Network. **Education**: PhD in Electrical & Computer Engineering, University of Waterloo (2012), awarded Governor General’s Gold Medal Postdoctoral Fellow at University of Waterloo (2012–2013) **Research Interests**: Developing cryptographic protocols for IoT and big data systems Privacy-preserving techniques for distributed systems Secure communication in 5G/6G networks and vehicular systems **Awards and Recognition**: Recipient of multiple best paper awards in IEEE conferences 2016–2017 Excellence in Teaching Award at UNB **Editorial and Leadership Roles**: Symposium co-chair at IEEE Globecom’16 Secretary of IEEE ComSoc CIS-TC Organized special issues on fog computing security (Elsevier) and big data security (IEEE IoT Journal) **Key Contributions**: Pioneered privacy-aware data reporting schemes for vehicular networks Designed lightweight IoT authentication protocols Advanced secure machine learning frameworks with privacy guarantees

Isaac Goldbringمشاهده پروفایل

استاد

• Model Theory
• Continuous Model Theory
• Nonstandard Analysis
• +۱۱ مورد دیگر

Isaac Goldbring is a Professor in the Department of Mathematics at the University of California, Irvine (UCI), where he is a leading member of the Logic and Foundations group. He also holds a courtesy appointment in the Department of Logic and Philosophy of Science. His research lies at the intersection of model theory, operator algebras, and nonstandard analysis, with significant contributions to combinatorial number theory and quantum complexity theory. His research interests include: Model theory, particularly continuous and metric model theory Applications of nonstandard analysis to algebra, analysis, and combinatorics Tracial von Neumann algebras and the Connes Embedding Problem Operator algebras and their logical properties Combinatorial number theory and ultrafilters Lie theory and geometric group theory Goldbring’s recent publications reflect a strong trend in applying model-theoretic tools to deep problems in operator algebras and quantum information. His work on the Connes Embedding Problem, especially in connection with the MIP*=RE result, has provided simpler, more direct model-theoretic proofs and stronger refutations. He has also contributed to the logical undecidability of operator algebraic properties and the model theory of C*-algebras and W*-probability spaces. His notable scientific contributions include editing the volume Model Theory of Operator Algebras and authoring influential books such as Ultrafilters throughout Mathematics and Nonstandard Methods in Ramsey Theory and Combinatorial Number Theory . He is the Editor-in-Chief of the Journal of Logic and Analysis . Goldbring currently holds an NSF grant on model theory, quantum complexity, and embedding problems in operator algebras. He has mentored several graduate students, including Ryan Burkhart, Alec Fox, Michael Hehmann, Jennifer Pi, and Jessica Schirle. He has organized major conferences, such as the 2023 North American Annual Meeting of the Association for Symbolic Logic at UCI, and frequently gives invited lectures worldwide. He is actively involved in collaborative research with prominent mathematicians such as Bradd Hart, Ilijas Farah, and Lou van den Dries, and has delivered lecture series at institutions like Yonsei University and the National University of Singapore.

Kuni Kamizakiمشاهده پروفایل

استادیار

• Urban Transformation
• Housing Inequality
• Community Land Trusts (CLTs)
• +۴ مورد دیگر

Kuni Kamizaki is an Assistant Professor and Admissions Chair at the School of Community and Regional Planning (SCARP), University of British Columbia. He holds a Ph.D. in Planning from the University of Toronto (2022). His research focuses on urban transformation in global cities, emphasizing displacement, housing inequality, and community-led alternatives for social and racial justice. He has conducted fieldwork in Tokyo (Japan) and collaborated with community land trusts in Toronto and Vancouver. Education Background: Ph.D. in Planning, University of Toronto, 2022 Research Interests: Kuni’s work adopts a multi-scalar approach to study urban decline in post-growth Japan (e.g., Tokyo’s population decline and aging crisis) and explores CLTs as anti-displacement tools. He emphasizes participatory action research with grassroots organizations like Parkdale Neighbourhood Land Trust and Downtown Eastside Community Land Trust. His research bridges theory and practice, aiming to inform equitable urban policies. Awards and Recognition: 2023 Urban Affairs Association’s Janet Smith Emerging Activist Scholar Research Award Metcalf Foundation Fellow (2024) analyzing Toronto’s Parkdale CLT history Teaching and Collaboration: Kuni teaches courses on housing justice and urban planning. He actively engages with non-profits in Metro Vancouver through UBC’s Balanced Supply of Housing project. He is a member of Planners Network, advocating for socially just planning practices. Labs/Initiatives: Collaborates with Parkdale Neighbourhood Land Trust (Toronto) and Downtown Eastside Community Land Trust (Vancouver), contributing to housing justice advocacy and policy development.

• Inclusive Education
• Historical Educational Research
• Social Pedagogy
• +۷ مورد دیگر

Dr. Alexandra Schotte is a Lecturer in Pedagogy at the Faculty of Humanities and Social Sciences , University of Augsburg . Her research focuses on inclusive education , historical educational research , and Herbartian pedagogy , with a particular emphasis on disability education, educational media, and the Jewish Enlightenment (Haskala). She has held temporary professorial roles at the University of Duisburg-Essen and Friedrich Schiller University Jena. B.A. and M.A. in Educational Science and Sociology (1994–2000), Friedrich Schiller University Jena Ph.D. (Dr. phil.) in Educational Science (2008), Friedrich Schiller University Jena Her scholarly work explores intersections of educational theory , social pedagogy , and curriculum development , often contextualized through historical case studies and Herbartian philosophy. She co-edits academic series like Herbartstudien and contributes to international dialogues on postcolonial educational approaches. Scientific awards include: 2010 Award for 'Basic Pedagogical Research' (Friedrich Schiller University Jena) 2016 Habilitation Scholarship from the University of Augsburg's 'Equal Opportunities for Women in Research and Teaching' program She actively participates in academic societies, including the International Herbart Society and the German Society for Educational Science (DGfE), and contributes to educational media research through editorial and conference roles.

• Partial Differential Equations
• Shape Optimization
• Numerical Analysis
• +۳ مورد دیگر

Arian Novruzi is a Full Professor in the Department of Mathematics and Statistics at the University of Ottawa, Faculty of Science. His expertise lies in partial differential equations (PDEs), shape optimization, numerical analysis, and mathematical modeling. He holds an MSc from the University of Tirana and a PhD from the University of Nancy. His research integrates theoretical and applied mathematics, with a focus on fluid dynamics, biomedical applications, and engineering challenges. Education: MSc in Mathematics, University of Tirana PhD in Mathematics, University of Nancy Dr. Novruzi’s research interests include the analysis and numerical solutions of PDEs, optimization of geometric shapes for engineering systems, and modeling of complex physical phenomena such as blood flow and tumor radiation therapy. His work bridges pure mathematics with practical applications, addressing problems in fluid mechanics, materials science, and biomedical engineering. His recent publications highlight advancements in non-diffusive neural network methods for hyperbolic conservation laws, blood flow modeling using Navier-Stokes equations, and the optimization of convex domains for energy maximization. These studies emphasize both theoretical rigor and computational innovation. Awards: No scientific awards explicitly mentioned in the provided texts. Dr. Novruzi has supervised students such as Terence C. Ngouoko. His grants and collaborations are not detailed here, but his research has implications for energy-efficient engineering designs and medical treatments. He has authored a Springer textbook on PDEs, reflecting his commitment to educational resources in mathematical sciences.