جستجوی استاد راهنمای دانشگاهی

• Computational Mathematics
• Numerical Analysis
• Tsunami Modelling
• +۵ مورد دیگر

Stephen Roberts is a Professor at the Australian National University (ANU) in the College of Science, Department of Mathematics. He is the lead developer of the ANUGA open-source hydrodynamic modeling software, which simulates dam breaks, floods, and tsunamis for governments and engineers. Roberts has made significant contributions to computational mathematics, particularly in numerical methods for partial differential equations, sparse grid data fitting, and finite element approximations scaling to millions of data points. MSc, Flinders University (1980) PhD, University of California, Berkeley (1985) His research interests include: Computational methods for shallow water wave equations Development of Python-based scientific computing frameworks Global sensitivity analysis and uncertainty quantification Adaptive mesh algorithms for fluid dynamics Recent publications focus on energy-stable numerical schemes, multiscale flood simulation, and convergence analysis in sensitivity methods. Roberts actively collaborates with environmental agencies and has led major computational science education programs at ANU. Stephen serves as Treasurer of the Computational Mathematics Group (ANZIAM) and leads projects in: Parallelization of hydrodynamic models CO2 leak detection via atmospheric measurements Optimization of sparse grid combinations His work combines theoretical advancements with real-world applications in disaster risk reduction and climate policy.

Leo Schwinnمشاهده پروفایل

مدرس

• Robust Machine Learning
• Large Language Models Security
• Data-Efficient Learning
• +۵ مورد دیگر

Leo Schwinn is a Lecturer at the Technical University of Munich (TUM) within the Department of Computer Science (I26), working in the Data Analytics and Machine Learning group supervised by Prof. Stephan Günnemann at the TUM School of Computation, Information and Technology. His research focuses on robust machine learning with particular emphasis on data-efficient learning and robustness vulnerabilities of Large Language Models (LLMs). Dr. Schwinn's research interests span multiple critical areas in contemporary machine learning including: Robustness against adversarial attacks in LLMs Embedding space vulnerabilities and defenses Model unlearning and privacy preservation Efficient training methodologies for large models Time-series forecasting with probabilistic frameworks Graph-based machine learning approaches His work bridges theoretical understanding with practical security implications of modern AI systems. Analysis of his recent publications (2023-2025) reveals a strong focus on LLM security, with multiple papers accepted at premier conferences including ICML, CVPR, ICLR, and NeurIPS. His research demonstrates consistent innovation in identifying novel attack vectors while developing practical defense mechanisms, particularly through embedding space manipulation techniques. The work shows increasing sophistication in handling both theoretical aspects of model robustness and practical deployment concerns. His notable scientific achievements include: Receiving the ATE dissertation price for his PhD work at FAU Securing an oral presentation at ICLR 2025 Organizing the ICLR BlogPost Track Becoming a member of ELLIS (European Laboratory for Learning and Intelligent Systems) Dr. Schwinn has served as review process chair for the 2024 Conference on Lifelong Learning Agents (CoLLAs) and actively collaborates with researchers at Mila Quebec AI Institute. His research group at TUM focuses on addressing fundamental challenges in machine learning robustness, particularly as they apply to real-world deployment scenarios where security and reliability are paramount. He maintains active GitHub repositories related to LLM security research, including circuit-breakers-eval and LLM_Embedding_Attack, demonstrating his commitment to open science and reproducible research in the field of AI security.

Matthew Brookhouseمشاهده پروفایل

مدرس ارشد

• Plant physiology
• Sub-alpine ecology
• Dendrochronology
• +۲ مورد دیگر

Dr. Matthew Brookhouse is a Senior Lecturer at the Fenner School of Environment & Society, part of the Australian National University's Institute for Climate, Energy & Disaster Solutions. With a PhD in Dendroclimatology from ANU, he specializes in using forest structural complexity and tree-ring analysis to understand climate interactions and ecological responses in Australian subalpine environments. Research Focus: Sub-alpine ecology, Dendrochronology, CO2 responsiveness in eucalypt species Teaching: First-year research methods with emphasis on statistical application, advanced modeling and field botany Projects: Leading collaborative snow-gum dieback research and dendrochronological monitoring initiatives His publications span 2006-2025 with recent emphasis on machine learning applications for forest monitoring, tropical tree-ring chronologies for climate change, and climate sensitivity in Australian alpine ecosystems. Key collaborations include institutions like Australian Nuclear Science and Technology Organisation and University of Canberra researchers. Current projects focus on snow-gum woodland dieback mechanisms, high-resolution dendrometric monitoring, and integrating dendrochronology with environmental policy frameworks. He maintains active supervision of research students and contributes to both undergraduate and postgraduate curriculum development.

Vijay Vaziraniمشاهده پروفایل

استاد

• Algorithmic Game Theory
• Matching Markets
• Computational Complexity
• +۶ مورد دیگر

Vijay Vazirani is a Distinguished Professor in the Department of Computer Science at the University of California, Irvine , where he directs the ACO Center @ UCI . He earned his Ph.D. in Computer Science from UC Berkeley and a S.B. from MIT. Vazirani is a Guggenheim Fellow , ACM Fellow , and 2022 INFORMS John von Neumann Theory Prize recipient. Research Areas: Algorithmic Game Theory, Matching Markets, Computational Complexity, Approximation Algorithms His groundbreaking work includes co-founding algorithmic game theory and solving a 30-year-old problem with an NC algorithm for perfect matching in planar graphs . Recent research focuses on matching-based market design, with a $500K NSF grant for advancing algorithms in matching and market equilibria. His 15 most recent papers explore topics like core imputations, stable matching lattices, and Nash bargaining solutions. Scientific Awards: Guggenheim Fellowship ACM Fellow 2022 INFORMS John von Neumann Theory Prize Vazirani advises numerous Ph.D. students and postdocs, including Tung Mai , Thorben Trobst , and Rohith Reddy Gangam . He contributes to major workshops and co-edited foundational texts like Algorithmic Game Theory and Online and Matching-Based Market Design .

Jacob D. Leshnoمشاهده پروفایل

دانشیار

• Market Design
• Game Theory
• Microeconomic Theory
• +۳ مورد دیگر

Jacob D. Leshno is an Associate Professor of Economics and Robert H. Topel Faculty Scholar at the University of Chicago Booth School of Business. His research employs game theory, applied mathematics, and microeconomic theory to study allocation mechanisms and marketplace design, with applications spanning school choice systems, patient assignments to nursing homes, and decentralized cryptocurrency protocols. Professor Leshno's academic background includes: PhD in Economics from Harvard University, completed under Nobel laureate Alvin Roth M.Sc. in Pure Mathematics from Tel Aviv University B.Sc. in Pure Mathematics from Tel Aviv University His research program centers on market design theory with two primary strands. The first focuses on matching markets, where he developed tractable cutoff characterizations that clarify market structures for college admissions and medical residency matching (NRMP). His work demonstrates how price discovery mechanisms can streamline inefficient processes like college applications and subsidized housing allocation. The second strand examines cryptocurrencies and blockchain technology, investigating how open-source computer code functions as market rules in decentralized systems. This research explores both the economic security of permissionless consensus and fundamental limitations of proof-of-work protocols. Professor Leshno's publications reveal a cohesive research trajectory applying economic theory to increasingly complex market structures. His work consistently bridges theoretical rigor with practical implementation, evolving from traditional matching markets to the frontier of decentralized digital systems. Publications in top journals like American Economic Review and Journal of Political Economy demonstrate both analytical depth and real-world relevance across education, healthcare, and financial technology sectors. Professor Leshno has received significant recognition for his contributions: ACM SIGecom Test of Time Award for foundational work in matching markets INFORMS Frederick W. Lanchester Prize for outstanding contributions to operations research Prior to Chicago Booth, Professor Leshno served as Assistant Professor at Columbia Business School and completed a postdoctoral fellowship at Microsoft Research New England, following industry experience at Yahoo! and IBM. He teaches MBA courses in Competitive Strategy and Market Design, and developed a PhD seminar bridging computer science theory with economic principles for distributed systems. His research continues to influence both academic theory and practical implementations of market mechanisms across multiple sectors. Professor Leshno maintains active collaborations with leading researchers including Itai Ashlagi, Irene Lo, and Gur Huberman, advancing the theoretical foundations of market design while addressing contemporary challenges in digital marketplaces and allocation systems.

• Game Theory
• Bounded Rationality
• Economic Theory
• +۳ مورد دیگر

Ariel Rubinstein is a prominent Israeli economist and Professor of Economics at Tel Aviv University's School of Economics and the Department of Economics at New York University. Born on April 13, 1951, he has established himself as a leading figure in game theory and economic theory over his decades-long career. His research spans Game Theory, Bounded Rationality, Economic Theory, and Experimental Economics. Rubinstein is particularly renowned for developing the Rubinstein bargaining model, published in 1982, which describes two-person bargaining as an extensive game with perfect information. He also co-authored the highly influential A Course in Game Theory (1994) with Martin J. Osborne, which has been cited over 4,000 times. His recent scholarly output shows continued productivity across multiple subfields of economic theory, with a focus on behavioral aspects of decision-making, implementation theory, and the philosophical foundations of economic modeling. His work often challenges conventional approaches in economics while maintaining rigorous theoretical foundations. Honorary Fellow recognition Author of highly cited textbooks and scholarly articles Creator of educational resources including game theory experiments website Rubinstein maintains an active teaching role at NYU, where he has taught PhD microeconomics courses through 2024. His work extends beyond traditional academic boundaries through his 'Rubinstein's Atlas of Cafes where one can think,' his political commentary, and his engagement with public discourse on economic methodology and social issues. He has created protest materials and written extensively on contemporary political matters, particularly regarding the Israeli-Palestinian conflict. His laboratory focuses on Economic Theory, Bounded Rationality, Game Theory, and Experimental Economics, reflecting his interdisciplinary approach to understanding human decision-making within economic frameworks.

Peter G. Troyanمشاهده پروفایل

دانشیار

• Microeconomic theory
• Game theory
• Market design
• +۳ مورد دیگر

Peter G. Troyan is an Associate Professor of Economics and Director of Graduate Studies at the University of Virginia, where he has served on the faculty since 2014. His research bridges theoretical and experimental economics with practical applications in market design, focusing on strategic behavior in matching systems and auction mechanisms. Education: Ph.D. in Economics, Stanford University (2014) B.S. in Mathematics (with High Honors) and Physics, University of Michigan (2008) Troyan's research centers on microeconomic theory with emphasis on game-theoretic foundations of market design. His work develops novel frameworks for matching under constraints, analyzes strategic manipulation in allocation mechanisms, and pioneers experimental validations of theoretical predictions. Key contributions include formalizing 'obvious strategyproofness' as a solution concept and designing ranking methods that improve welfare in competitive matching processes. His interdisciplinary approach integrates experimental economics to test theoretical models in real-world settings like school choice and labor markets. His publication record reveals a consistent trajectory toward foundational contributions in mechanism design, with increasing focus on simplicity principles and behavioral realism. Recent work in Econometrica establishes theoretical limits of mechanism simplicity, while experimental studies in Games and Economic Behavior validate preference structures in matching markets. The recurring themes across his publications demonstrate how theoretical insights can be operationalized to solve allocation problems with distributional constraints. Scientific Awards: Best Paper Award and Exemplary Theory Paper Award at ACM Conference on Economics and Computation (EC19) UVA Quantitative Collaborative (2022) and Arts & Sciences Research Grant (2022) Roger Sherman Fellowship (2019-2020) and multiple university research grants Stanford and University of Michigan fellowships during graduate training Troyan directs the Economics Department's graduate program while securing continuous research funding, including five consecutive Bankard Fund grants (2017-2024) supporting his theoretical and experimental work. His service includes editorial roles at the American Economic Journal: Microeconomics and extensive peer review for top economics journals. As an active conference participant, he regularly presents at the ACM Conference on Economics and Computation and Econometric Society meetings, contributing to the market design research community through the University of Virginia Bankard Workshop in Economic Theory. His leadership extends to mentoring graduate students in economic theory research and collaborating with international scholars like Marek Pycia and Thayer Morrill. Current projects explore desirable ranking methodologies and the boundaries of strategyproof allocation mechanisms, positioning his work at the forefront of market design theory.

Mary E. Powerمشاهده پروفایل

استاد

• River Ecology
• Food Web Dynamics
• Hydroclimatic Variability
• +۳ مورد دیگر

Dr. Mary E. Power is a Professor of the Graduate School at the University of California, Berkeley. She specializes in river ecology, focusing on algal-based food webs and their interactions with hydroclimatic regimes. Her research integrates field experiments and long-term monitoring in the South Fork Eel River, examining how flow variations and environmental conditions drive ecosystem state transitions. Primary Research Site: Angelo Coast Range Reserve (Mendocino Co., CA) Key Methodologies: In situ incubations, stable isotope probing, nanoSIMS analysis Current Focus: 2024- study of three alternative algal food web states during summer low flows Her work reveals critical thresholds where reduced summer flows and warming pools shift nutritious algal ecosystems toward toxic cyanobacterial dominance, impacting salmon and cross-ecosystem linkages. Selected Research Trends: Hydrological control of food web structure Cyanotoxin dynamics in river networks Climate change impacts on freshwater ecosystems Long-term ecological reconstructions via sediment cores Top-down and bottom-up regulation of river communities Her lab employs cutting-edge techniques to analyze microbiome elemental exchanges and successional patterns in Cladophora glomerata, a dominant green macroalga in the Eel River system.

Joseph Rootمشاهده پروفایل

استادیار

• Microeconomic Theory
• Game Theory
• Market Design
• +۳ مورد دیگر

Joseph Root is an Assistant Professor in the Department of Economics at the University of Chicago, affiliated with the College of Arts and Sciences. His research focuses on economic theory, particularly mechanism design, market design, and social choice theory. Before joining UChicago in 2021, he held postdoctoral and fellowship positions at Caltech in economic theory and data science. University of Chicago (2021–present): Assistant Professor in Economics Caltech: Linde Postdoc & PIMCO Fellow in Data Science (pre-2021) His work analyzes strategic interactions, fairness in allocation mechanisms, and topological methods in social choice. Recent publications address school assignment, stable matching, and constrained market design. Root has received recognition through prestigious fellowships and contributes to theoretical advancements in economic systems. Scientific awards include: Linde Postdoctoral Fellowship, Caltech PIMCO Fellowship in Data Science, Caltech

Anna R. Karlinمشاهده پروفایل

استاد

• Theoretical Computer Science
• Algorithm Design and Analysis
• Probabilistic Algorithms
• +۶ مورد دیگر

Anna R. Karlin is a Professor and the Bill & Melinda Gates Chair in Computer Science & Engineering at the University of Washington's Paul G. Allen School of Computer Science & Engineering. She serves as Associate Director of Graduate Studies and leads research in theoretical computer science within the Theory & Models of Computation focus area. Ph.D. from Stanford University (1987) Former researcher at Digital Equipment Corporation's Systems Research Center (5 years) Professor Karlin's research centers on theoretical computer science, with specific expertise in algorithm design and analysis, particularly probabilistic and online algorithms. Her work spans multiple interdisciplinary domains including algorithmic game theory, economics and computation, data mining, operating systems, networks, and distributed systems. Her research has evolved from foundational algorithmic work to impactful applications in market design, auction theory, and pricing mechanisms. Karlin's publication record demonstrates a consistent trajectory from classical theoretical computer science toward algorithmic game theory and mechanism design. Her recent work focuses on approximation algorithms for NP-hard problems, auction design, revenue maximization, and stable matching problems, with applications in online advertising, network economics, and resource allocation. She has developed influential algorithms for the Traveling Salesman Problem and made significant contributions to understanding interdependent valuations in combinatorial auctions. Bill & Melinda Gates Chair in Computer Science & Engineering Professor Karlin has advised numerous doctoral students throughout her career, with former students including prominent researchers like Jason Hartline, Frank McSherry, and Kira Goldner. Her collaborative research has been supported by various grants, including NSF funding (CCF-1813135 mentioned in her publications). She co-authored the influential textbook Game Theory, Alive with Yuval Peres, which serves as a rigorous introduction to game theory with applications across multiple disciplines. As a leader in theoretical computer science, Professor Karlin maintains active involvement in the Theory of Computation research group at the Allen School, fostering collaboration between theoretical foundations and practical applications in computer science.

Kristen Bakerمشاهده پروفایل

پژوهشگر ارشد

• Face Identification
• Face Recognition
• Decision Making
• +۳ مورد دیگر

Kristen Baker is a Newton International Fellow (awarded by the Royal Society) at the University of Kent's School of Psychology, conducting research under Dr. Markus Bindemann on decision-making in face identification with implications for eyewitness testimony and border security. She earned her PhD from Brock University, where her dissertation examined individual differences in face identification and learning, supported by Natural Sciences and Engineering Research Council of Canada and Ontario Graduate Scholarship funding. Her research integrates cognitive and developmental perspectives to investigate face recognition mechanisms, focusing on individual variability, familiarity processes, and forensic applications. She employs experimental methods comparing adult and child participants across controlled identification tasks. Recent publications in Cognition and Perception reveal consistent exploration of stable individual differences in face identification, expertise effects (e.g., photographers), aging impacts on familiar face recognition, and within-person variability in identity perception. Her scientific recognition includes: Newton International Fellowship (Royal Society) Natural Sciences and Engineering Research Council of Canada PhD Fellowship Ontario Graduate Scholarship Supported by prestigious fellowships throughout her career, she currently contributes to Dr. Bindemann's research group without documented student supervision or independent grant leadership. She operates within the University of Kent's visual cognition research team, focusing on empirical face processing studies with real-world forensic relevance.

• Geochemistry
• Isotope Geochemistry
• Environmental Geology
• +۴ مورد دیگر

Dr. Diego Fernandez is a Research Professor in the Department of Geology & Geophysics at the University of Utah, specializing in isotope geochemistry, mineral resource characterization, and environmental dust dynamics. His work spans four decades of academic appointments (2006–present) with expertise in strontium isotope applications for migration tracking, critical mineral assessments, and dust pollution health impacts. PhD in Thermodynamics, University of Buenos Aires (1992) Research Professor (2021–present) Research Associate Professor (2014–2021) Research Assistant Professor (2006–2014) Research focuses include: strontium isotope geochemistry for reconstructing animal migration and geological processes; critical mineral characterization of coal-bearing strata for rare earth element extraction; environmental health impacts of dust from the Great Salt Lake playa; dust source apportionment in urban settings; and magmatic system petrochronology of the Alta Stock region. Recent publications (2024–2025) demonstrate methodological innovations in LA-ICP-MS analysis, Bayesian isotope turnover modeling, and dust-metal contamination frameworks. His studies document elevated health risks from thallium, arsenic, and lead in urban dust, while proposing solutions through dust suppression and international emission reductions. 2024 Distinguished Educator Award, University of Utah College of Science Current grants include USGS-funded terminal lake geochemistry, NSF projects on critical zone dust dynamics, and Bering Sea fisheries baseline studies Teaching activities include directing SRI Research courses (2024) and mentoring interdisciplinary projects on environmental isotopes. Collaborators include institutions across North America and Europe, with fieldwork in Utah, Alaska, Wyoming, and Kenya.

James Martinمشاهده پروفایل

مدرس

• Probability Theory
• Statistical Physics
• Random Graphs
• +۹ مورد دیگر

James Martin is a Lecturer at the Department of Statistics, University of Oxford . He is affiliated with St Hugh's College and has been actively involved in organizing probability seminars since 2018. Research Interests Probability theory Random graphs and percolation Interacting particle systems Models of random growth and coagulation-fragmentation Queueing networks Combinatorial games Teaching Courses: Prelims Probability , Part A Probability , Part B Statistical Lifetime Models , Part C Probabilistic Combinatorics His publications focus on probability theory , statistical physics , and combinatorial structures . Recent work includes studies on last-passage percolation, multispecies exclusion processes, and integrable probability models. James Martin collaborates with researchers from institutions such as Uppsala University, University of Cambridge, Imperial College London, and Kyoto University. He has been a key organizer for the Oxford Probability Seminar since 2018.

• Economics
• Game Theory
• Microeconomics
• +۴ مورد دیگر

Stephan Lauermann is a Professor at the Institute for Microeconomics, University of Bonn. His research focuses on economics, game theory, and microeconomics, particularly in market design, search theory, and information economics. Primary affiliation: University of Bonn, Institute for Microeconomics Email: s.lauermann@uni-bonn.de Contact: +49 228 73 6327, Room 3.004 (Juridicum), Adenauerallee 24-42, 53113 Bonn His research explores frictions in markets and elections, including dynamic matching, auction theory, and information aggregation. Recent work investigates frictions in matching models, common-value auctions, and strategic coordination in protests. Dynamic matching and bargaining games Common-value auctions with adverse selection Information aggregation in elections and protests Search theory applications to microeconomic models His publications appear in top journals such as Review of Economic Studies , Econometrica , and American Economic Review . Research spans market design, game theory, and political economy.

• Economic Theory
• Game Theory
• Mechanism Design
• +۴ مورد دیگر

Seungjin Han is a Professor in the Department of Economics at McMaster University, specializing in economic theory with applications in game theory, mechanism design, and public policy. His work bridges theoretical rigor with practical economic questions in taxation, matching markets, and corporate finance. His academic foundation includes a Bachelor of Economics from Korea University, Seoul; Master of Arts in Economics from McGill University, Montreal; and PhD in Economics from the University of Toronto. Research interests center on competing mechanism games, signaling theory, and market design. Key contributions address equilibrium analysis in strategic environments, tax incidence in differentiated markets, and incentive structures in matching frameworks. His theoretical work frequently appears in top journals like the Journal of Economic Theory and Journal of Mathematical Economics. Recent publications (2021-2025) reveal consistent focus on competing mechanisms and signaling dynamics, with growing emphasis on policy-relevant applications in public finance and labor markets. Over half his work involves collaborative research networks spanning international institutions. Teaching encompasses graduate-level Microeconomic Theory (ECON 721), Mathematical Methods (ECON 765), and Advanced Economic Theory (ECON 4T03) since 2017, reflecting deep engagement with core economic methodology.