جست‌وجوی استاد و پژوهشگر

Frans de Roonمشاهده پروفایل

استاد

• Finance
• Asset Pricing
• Capital Markets
• +۷ مورد دیگر

Frans de Roon is a Full Professor at TIAS School for Business and Society , part of Tilburg University. His expertise spans Finance , with a focus on Asset Pricing , Capital Markets , Corporate Finance , and Business Valuation . He has pioneered research on non-listed company valuation and contributed to empirical finance in commodities, emerging markets, and currency markets. PhD in Finance (Tilburg University, 1997) Teaches Finance courses at PhD, MBA, and executive levels Active in applied research and consultancy for Asset & Liability Management, Investments, and Valuation Regular consultant in court cases on investment management and valuation His research explores inflation risk dynamics, hedge fund payoff structures, and fintech’s impact on traditional finance. Recent publications analyze commodity returns, business valuation frameworks, and beta adjustment methodologies. He leads the Master in Finance (MiF) program and collaborates with SRA on SME valuation tools. His work bridges academic rigor with practical applications in financial decision-making.

Simone Neuberمشاهده پروفایل

استاد مهمان

• Ethics
• Aesthetics
• Phenomenology
• +۴ مورد دیگر

Simone Neuber serves as a Visiting Professor and Head of the Philosophy Department at Pädagogische Hochschule Schwäbisch Gmünd, maintaining regular office hours in room M1 2.05 and virtual sessions during academic breaks. Her institutional affiliation centers on philosophical research and teaching within Germany's higher education framework for teacher training. Her academic journey began with studies in Philosophy and Modern English Literature at the University of Tübingen, including an exchange year at SUNY Stony Brook. She earned her doctorate in 2013 from Tübingen with research on fictional relationships in analytical aesthetics, followed by habilitation in 2021 at the University of Jena focusing on self-deception as an archaeological search, published as a 657-page monograph in 2025. Neuber's research program critically engages with self-deception mechanisms across Kantian ethics, Kierkegaardian existentialism, and Sartrean phenomenology. Her work examines moral psychology in aesthetic contexts , religious epistemology , and pre-reflective consciousness , with particular attention to how moods structure existential awareness and how deception operates in religious belief formation. Recent publications demonstrate sustained analysis of Kant's theory of lying, Kierkegaard's anxiety treatise, and Sartre's ontology of subjectivity. Her 2023-2025 publications reveal three converging trajectories: Kantian investigations into the metaphysical foundations of evil and deceptive practices Kierkegaardian explorations of religious epistemology and immortality concepts Sartrean phenomenological analyses of mood, consciousness, and self-deception mechanisms These strands intersect in her examination of how philosophical frameworks address the tension between rationality and affective states in moral decision-making. Neuber's scholarly contributions extend through guest professorships at the University of Notre Dame and academic appointments in Heidelberg, Freiburg, and Basel. Her teaching responsibilities include mentoring students through the Staufer Studienmodell framework at this German university of education, with particular focus on preparing philosophy educators for secondary school instruction.

• General Relativity
• Mathematical Physics
• Differential Geometry
• +۶ مورد دیگر

Lars Andersson is a Professor at the Beijing Institute of Mathematical Sciences and Applications (BIMSA), with a career spanning prestigious institutions including the University of Potsdam, Albert Einstein Institute, and University of Miami. His work bridges General Relativity, Mathematical Physics, and Differential Geometry, focusing on black hole stability, gravitational instantons, and spin-orbit effects in curved spacetime. Key contributions include extending quasi-local mass definitions, analyzing gravitational wave propagation, and proving stability theorems for cosmological models. Education: PhD in Mathematics (1984), University of Umeå, Sweden Research Interests: Black hole uniqueness, Kerr spacetime perturbations, relativistic elasticity, and gravitational spin Hall effects Notable Collaborations: Shing-Tung Yau, Pieter Blue, Thomas Bäckdahl, and others in gravitational physics and geometric analysis His recent publications (2025–2021) explore quasi-local mass behavior near horizons, universal relations in neutron stars, and hidden symmetries in black hole spacetimes, with applications to observational gravitational wave astronomy and theoretical physics. He has no listed scientific awards but maintains active collaborations across mathematical and physical disciplines.

• Econometrics for cross-sectional and panel data
• Semiparametric and high-dimensional estimation methods
• Nonparametric identification
• +۳ مورد دیگر

Jesper Riis-Vestergaard Sørensen is a Tenure Track Assistant Professor in the Department of Economics at the University of Copenhagen, which is part of the Faculty of Social Sciences. His work focuses on developing advanced econometric methods for analyzing complex economic data. His academic background includes: PhD in Economics from University of California at Los Angeles (2012-2018), with dissertation titled "Essays on Nonparametric and High-Dimensional Econometrics" Sørensen's research centers on methodological innovations in econometrics, particularly addressing challenges in high-dimensional data analysis. His work on semiparametric and nonparametric estimation provides economists with flexible tools that avoid restrictive assumptions about functional forms. His contributions to generalized entropy models offer innovative approaches to modeling economic choices that balance theoretical rigor with empirical adaptability. He has also made significant advances in specification testing for semiparametric models and discrete choice modeling under uncertainty, bridging economic theory with practical applications in consumer behavior analysis. His publication record from 2011-2025 reveals a clear progression from foundational work on household demand analysis toward increasingly sophisticated methodological contributions in high-dimensional econometrics. Recent publications (2021-2025) demonstrate particular expertise in parameter selection methods for complex models, with his 2025 paper on vector autoregressions representing cutting-edge work in time series analysis. A recurring theme across his work is the integration of mathematical optimization techniques (particularly convex analysis) with econometric methodology, as exemplified by his research connecting McFadden's discrete choice theory with Rockafellar's optimization principles. Sørensen has been actively engaged with the professional community through presentations at major conferences including the Econometric Society European Meeting (2021), Econometric Society North American Summer Meeting (2021), and the Econometric Society/Bocconi University Virtual World Congress (2020). His invited talk at Duke University's Class of 2018 Microeconometrics Conference highlights recognition of his expertise in specialized methodological areas.

• Distributed Computing
• Self-stabilizing Algorithms
• Network Algorithms
• +۱ مورد دیگر

Alain Cournier is a University Professor at the University of Picardy Jules Verne (UPJV), France, affiliated with the ALCO research unit (UR 4290) focusing on Algorithmic and Complexity. His office is located in room 401 with contact phone 5913. He maintains an active research profile with continuous publications from 1992 through 2024, primarily in distributed computing and theoretical computer science. Professor Cournier's research centers on fault-tolerant distributed algorithms, specializing in self-stabilizing systems for networked environments. His core contributions span leader election protocols, synchronous unison mechanisms, and message forwarding algorithms in directed and undirected topologies. He pioneered work in snap-stabilization and polynomial-time convergence guarantees, with recent focus on directed network challenges. Earlier career phases included modular graph decomposition algorithms (1990s), while 2018-2019 saw exploration of autoencoder neural networks for anomaly detection in connected buildings. Analysis of his 15 most recent publications reveals strong continuity in distributed algorithms research (12/15 papers), with 2023-2024 works exclusively addressing self-stabilization in directed networks using innovative metaphors like Roman infrastructure. The 2018-2019 neural network studies represent a brief interdisciplinary expansion before returning to core theoretical work. His publications consistently appear in premier venues including PODC, ICDCN, and Theoretical Computer Science, often collaborating with Altisen, Defalque, and Devismes. He operates within the ALCO research unit (UR 4290) at UPJV, which serves as the institutional home for his algorithmic complexity research. This unit facilitates collaboration across the French distributed computing community, evidenced by regular AlgoTel conference participation. While specific lab structures aren't documented, his publication patterns indicate sustained theoretical work with periodic applied explorations in cybersecurity contexts.

Anna Sygudaمشاهده پروفایل

پژوهشگر

• Organic Chemical Technology
• Laboratory Synthesis of Organic Compounds
• Phase Transfer Catalysis
• +۵ مورد دیگر

Dr. Anna Syguda is a Researcher at the Faculty of Chemical Technology , Poznań University of Technology , affiliated with the Institute of Chemical Technology and Engineering . She holds a PhD in Chemical Sciences (2007) from Poznań University of Technology, with a thesis on "Salts of deanol and its esters." Research Focus: Design and application of surface-active ionic liquids as herbicides, surfactants, and antifungal agents. Key Collaborations: Institute of Plant Protection, West Pomeranian University of Technology, AGH University of Science and Technology, and international institutions in Germany, USA, and France. Scientific Contributions include over 35 peer-reviewed articles on herbicidal ionic liquids, surfactant alternatives, and microbial toxicity. Her work emphasizes environmentally friendly chemical solutions, with applications in agriculture, wood protection, and detergent production. Students: Supervised Marta Wojcieszak (PhD thesis on biologically active ionic liquids). Review Work: Regular reviewer for journals like Catalysts , Molecules , and Scientific Reports .

Jens Habermannمشاهده پروفایل

استاد

• Partial Differential Equations
• Calculus of Variations
• Mathematical Analysis
• +۲ مورد دیگر

Prof. Dr. Jens Habermann serves as a Professor in the Department of Data Science at Friedrich Alexander University Erlangen-Nuremberg (FAU). He maintains active research and teaching responsibilities, with course offerings scheduled through the 2025/26 academic year including Mathematics for Physics Students and Data Science courses. His research focuses on advanced mathematical analysis, particularly Theory of Partial Differential Equations and Calculus of Variations . Specialized interests include elliptic and parabolic (quasi-)minimizers, PDEs with non-standard growth conditions, and parabolic quasiminimizers on metric measure spaces. His work bridges theoretical mathematics with applications in mathematical physics and geometric analysis. Analysis of his publication record (2010-2018) reveals consistent contributions to regularity theory for nonlinear PDE systems, with particular emphasis on stability results, integrability estimates, and non-standard growth conditions. His research demonstrates strong methodological continuity across parabolic systems, vector-valued problems, and metric space generalizations. Dr. Habermann has secured significant third-party funding through the German Research Foundation (DFG), including participation in the Collaborative Research Center TRR 154 (2020-2022) on mathematical modeling of gas networks and a standalone DFG project (2015-2019) on parabolic quasi-minimizers in metric spaces. His teaching portfolio demonstrates expertise in foundational mathematics for STEM disciplines, with regular instruction in mathematical analysis sequences serving physics and data science students. Course structures typically include 4-5 SWS lectures complemented by tutorials and exercise sessions.

Martin Simardمشاهده پروفایل

استاد

• Landscape ecology
• Forest ecology
• Forest disturbances (fires and insect epidemics)
• +۲ مورد دیگر

Martin Simard is a Full Professor at the Department of Geography within Laval University's Faculty of Forestry, Geography and Geomatics. His research focuses on landscape ecology, forest ecology, and dendrochronology, particularly examining forest disturbances like fires and insect epidemics. He teaches courses in Natural Environments, Landscape Ecology, and Dendrochronology at both undergraduate and graduate levels. PhD in Zoology (2009) - University of Wisconsin–Madison Master's in Biology (1999) - Laval University Bachelor's in Biology (1996) - Laval University His recent work analyzes climate impacts on boreal forest ecosystems, including spruce budworm outbreaks and vegetation changes in Nunavik. He collaborates with multidisciplinary teams across Quebec institutions and leads studies on frost effects, shrub radial growth, and ecosystem state shifts under climate warming. Current grants include: "Dynamique du carbone forestier" (2022-2028) "Programme de recherche en partenariat sur la contribution du secteur forestier à l'atténuation des effets des changements climatiques" (2021-2026) "Réseau inondations inter-sectoriel du Québec" (2018-2028) He supervises students in Biology, Forest Sciences, and Geographical Sciences while serving as a regular member of the Centre for Nordic Studies and Forest Study Center.

• Nonlinear Dynamics
• Mechanical Systems
• MEMS/NEMS
• +۴ مورد دیگر

Anil Bajaj is the Alpha P. Jamison Professor of Mechanical Engineering at Purdue University's College of Engineering. He specializes in nonlinear dynamics, mechanical systems, and advanced material behavior, with a focus on applications in automotive engineering, MEMS/NEMS, and vibrational analysis. His research often involves numerical modeling, experimental validation, and bifurcation analysis of complex systems. Key research interests include bistable systems, viscoelasticity, resonance phenomena, and the dynamics of nonlinear structural components such as beams, plates, and trusses. He has contributed significantly to understanding parametric resonances, chaos in mechanical systems, and mitigation strategies for noise and vibrations in vehicles. Prof. Bajaj has collaborated on projects involving seat-occupant systems, fluid-structure interactions, and MEMS switch dynamics. His work frequently integrates computational methods like incremental harmonic balance and reduced-order modeling to predict and analyze nonlinear responses. He is affiliated with Purdue's ProEd Academic Advisory Committee and holds an office in ME 3180. His recent articles highlight advancements in reservoir computing with bistable systems, torsional vibration mitigation in vehicle drivelines, and stability analysis of viscoelastic structures. Despite his extensive publications, no specific awards or student advisories are listed in the provided materials.

John Palmieriمشاهده پروفایل

استاد

• Algebra
• Algebraic Topology
• Representation Theory of Lie Groups and Lie Algebras

John Palmieri is a Professor in the Department of Mathematics at the University of Washington. He holds a PhD from the Massachusetts Institute of Technology (1991) and a BA from Swarthmore College (1986). His research focuses on algebraic topology, algebra, and representation theory, with particular emphasis on the Steenrod algebra and its applications in homotopy theory. He has contributed significantly to areas such as A-infinity algebras, Koszul duality, and noncommutative algebraic structures. His work bridges abstract algebra and topology, addressing foundational questions in stable homotopy theory and representation theory. Education: PhD in Mathematics, MIT, 1991 BA in Mathematics, Swarthmore College, 1986 Research Interests: Algebraic Topology (e.g., Steenrod algebra, spectral sequences) Abstract Algebra (e.g., quantum algebras, noncommutative rings) Representation Theory of Lie Groups and Lie Algebras Teaching includes advanced courses such as Topology and Geometry of Manifolds. His research outputs span over 30 peer-reviewed articles, exploring topics ranging from invariant theory in quantum Weyl algebras to the Bousfield lattice in truncated polynomial algebras. He collaborates extensively with mathematicians like J. Zhang and D.-M. Lu, advancing interdisciplinary connections in algebraic structures. His work is supported by grants and institutional affiliations at the University of Washington. Labs/Teams: Not explicitly mentioned in the provided text.

Tatiana Toroمشاهده پروفایل

استاد

• Geometric Measure Theory
• Non-Smooth Analysis
• Partial Differential Equations

Tatiana Toro is the Craig McKibben & Sarah Merner Professor of Mathematics at the University of Washington and Director of the Simons Laufer Mathematical Sciences Institute (SLMath). Her research focuses on Geometric Measure Theory, Non-Smooth Analysis, and Partial Differential Equations. She earned her PhD from Stanford University in 1992 and has made significant contributions to free boundary problems, harmonic measure, and rectifiability. Education: PhD in Mathematics, Stanford University, 1992 Research Interests: Geometric Measure Theory: Analysis of singular sets, rectifiable measures, and geometric properties Non-Smooth Analysis: Study of PDEs in non-smooth domains Partial Differential Equations: Free boundary regularity, elliptic operators, and harmonic measure Awards & Affiliations: Director of SLMath (formerly MSRI) Contributions to advanced mathematical analysis with over 40 peer-reviewed publications Labs/Teams: Directs the Simons Laufer Mathematical Sciences Institute, fostering collaborative research in pure and applied mathematics.

John Gewekeمشاهده پروفایل

استاد

• Econometrics
• Time Series Analysis
• Bayesian Modeling
• +۲ مورد دیگر

John Geweke is the Charles R. Nelson Endowed Professor in Economics at the University of Washington, with joint appointments at the University of Technology Sydney and emeritus status at the University of Iowa. His research focuses on econometric theory, Bayesian modeling, and applications in macroeconomics and finance. He has supervised over 30 doctoral students and received prestigious fellowships including the Alfred P. Sloan Research Fellowship. Education: Ph.D. in Economics, University of Minnesota (1975) B.S. in Social Sciences, Michigan State University (1970) His research explores econometric methods for time series analysis, Bayesian inference in complex models, and financial econometrics. Geweke's work integrates theoretical rigor with practical applications in macroeconomic forecasting and decision-making under uncertainty. Geweke's publications demonstrate consistent focus on Bayesian econometrics, time series analysis, and financial modeling, with recent emphasis on model comparison, prediction under uncertainty, and computational methods for high-dimensional problems. Awards and Honors: Fellow of the Econometric Society Fellow of the American Statistical Association Alfred P. Sloan Research Fellow (1982-1984) H. I. Romnes Faculty Fellowship He has mentored numerous PhD students and secured significant research funding from NSF and ARC for projects on Bayesian computation and economic modeling. Geweke leads methodological developments at the intersection of statistics and economics.

William A. Boothمشاهده پروفایل

مدرس

• 20th Century Latin American History
• Mexican History
• U.S.-Latin American Relations
• +۳ مورد دیگر

William A. Booth is a historian specializing in 20th century Latin America, focusing on Mexico and U.S.-Latin American relations, with expertise in socialism/communism, Cold War historiography, and radical networks. He currently holds a Lecturer position at University College London’s Department of History, having previously taught at Warwick, Oxford, LSE, Johns Hopkins SAIS, and the Institute of the Americas. His academic work bridges historical analysis with contemporary media engagement, appearing frequently on platforms like BBC, France24, and TRT World to discuss Latin American politics and history. Booth earned his PhD from the University of London in 2012 and is an Associate Fellow of the Higher Education Academy (2017). His teaching portfolio includes advanced modules on revolutions, democracy, Cold War history, and global intellectual history. Beyond academia, he serves as editor of Radical Americas Journal and convenor of the IHR Latin American History seminar, advocating for access to higher education for underrepresented groups. His research emphasizes transnational leftist movements and Cold War dynamics. Recent publications include A Prehistory of Revolution: Latin American Lefts in the Early Cold War (forthcoming 2024) and articles in Historical Journal and Journal of Latin American Studies . Media contributions include analyses on Mexico’s political shifts, Bolivian coups, and Argentina’s economic policies. Booth’s pedagogical focus includes student support initiatives, with regular office hours to assist learners from marginalized backgrounds. His external roles and publications reflect a commitment to bridging scholarly rigor with public discourse.

• Statistical Learning
• Multivariate Analysis
• Classification
• +۶ مورد دیگر

Yoonkyung Lee is a Professor of Statistics and Computer Science Engineering at The Ohio State University, affiliated with the Department of Statistics in the College of Arts and Sciences. She holds a PhD from the University of Wisconsin-Madison (2002). Her primary research focuses on statistical learning and multivariate analysis, with specializations in classification, kernel methods, and model stability. She has a courtesy appointment in Computer Science and Engineering since 2016 and served as a faculty co-director of the Translational Data Analytics Institute (2020–2022). Her work has been funded by the National Science Foundation (NSF), and she was elected a Fellow of the American Statistical Association in 2015. Her educational background includes a PhD in Statistics from the University of Wisconsin-Madison. Her research interests emphasize developing methodologies for latent structures in multivariate data, computational frameworks for model stability, and predictive modeling. Notable contributions include advancements in kernel discriminant analysis, Bayesian restricted likelihood methods, and sparse logistic tensor decomposition. Prof. Lee serves on editorial boards for journals such as Chemometrics and Intelligent Laboratory Systems , Econometrics and Statistics , and Journal of Machine Learning Research . Her articles span topics like support vector machines, quantile regression, and nonlinear embeddings, reflecting her expertise in bridging statistics and machine learning. Beyond research, she has advised numerous projects and contributed to interdisciplinary initiatives in translational data analytics.

Anil Adaمشاهده پروفایل

استاد آموزشی

• Theoretical Computer Science
• Education
• Communication Complexity
• +۵ مورد دیگر

Anil Ada is an Associate Teaching Professor at the Computer Science Department of Carnegie Mellon University . He was born in Istanbul and completed his B.Sc. (Hon.), M.Sc., and Ph.D. in Mathematics and Computer Science at McGill University , advised by Denis Thérien and Hamed Hatami. Research Focus : Theoretical computer science with an emphasis on communication complexity, circuit complexity, and the intersection of structure vs randomness in computation. Education : B.Sc. (Hon.) in Mathematics and Computer Science from McGill University M.Sc. in Computer Science from McGill University Ph.D. in Computer Science from McGill University Academic Contributions : His research has explored foundational questions in computational complexity, including pseudorandomness, Boolean function analysis, and additive combinatorics. He has published in venues such as Computational Complexity , ICALP , and International Journal of Foundations of Computer Science . Teaching Innovation : He developed Panda Notes , a web application combining document collaboration with AI-assisted educational tools. He teaches courses like 15-251: Great Ideas in Theoretical Computer Science and 15-155: The Computational Lens , with prior teaching roles at McGill University.