جستجوی استاد راهنمای دانشگاهی

Eric Nalisnickمشاهده پروفایل

استادیار

• Machine Learning
• Artificial Intelligence
• Probabilistic Modeling
• +۵ مورد دیگر

Eric Nalisnick is an Assistant Professor in the Department of Computer Science at Johns Hopkins University. He holds affiliations with the Institute for Assured Autonomy, Mathematical Institute for Data Science, and Data Science and AI Institute. His research focuses on developing safe and robust intelligent systems through probabilistic modeling and computational statistics, with applications in healthcare, online content moderation, and sign language processing. His work emphasizes human-centered design, exploring how to incorporate prior knowledge, detect system failures, and integrate human-machine decision-making. Research Trends: Recent publications highlight advancements in uncertainty quantification (e.g., Lightning UQ Box tool), early-exiting neural networks for risk control, and generative models for symmetry transformations. He also investigates calibration in multi-distribution learning and ethical considerations in hate speech detection systems. Advising & Contributions: Eric mentors a diverse cohort of PhD students and has developed influential open-source tools like Lightning UQ Box and Learning to Defer frameworks. His teaching includes courses on Deep Learning, Human-in-the-Loop Machine Learning, and Bayesian Methods.

Ivan Fernandez-Corbatonمشاهده پروفایل

پژوهشگر

• Electromagnetic radiation
• Light-matter interactions
• Symmetries and conservation laws
• +۵ مورد دیگر

Ivan Fernandez-Corbaton is a Project Leader and Staff Scientist at the Institute of Nanotechnology, Karlsruhe Institute of Technology (KIT), where he leads research in the Theoretical Nanooptics unit. His position focuses on fundamental electromagnetic theory with applications in nanophotonics and metamaterials. His research centers on the systematic use of electromagnetic duality symmetry and its conserved quantity, electromagnetic helicity, to treat electromagnetic polarization degrees of freedom. This approach provides insights and design guidelines across diverse areas including zero backscattering, optical activity, metamaterials for transformation optics, and nanophotonic phenomena involving electromagnetic angular momentum. His work bridges theoretical physics with practical applications in chiral sensing, thermal radiation control, and light structuring technologies. Analysis of his recent publications reveals a strong focus on computational methods for electromagnetic problems, particularly the T-matrix formalism extended to polychromatic fields and complex geometries. His research increasingly integrates multi-scale approaches connecting quantum chemical simulations with classical electromagnetic modeling, especially for molecular nanomaterials and chiral structures. The work shows consistent theoretical depth with practical applications in sensing, light manipulation, and thermal radiation control. As a Staff Scientist, Fernandez-Corbaton collaborates extensively within KIT's Carsten Rockstuhl's Lab and with international partners. His research has significant implications for chiral molecule detection, photonic device design, and fundamental electromagnetic theory. He maintains active publication output with numerous preprints available on arXiv and ResearchGate, reflecting his commitment to open scientific communication.

• Geometric Function Theory
• Complex Analysis
• Harmonic Analysis
• +۳ مورد دیگر

Arturo Nicolau Nos is a Professor in the Department of Mathematics at the Autonomous University of Barcelona (UAB). His research focuses on Geometric Function Theory, Complex Analysis, Harmonic Analysis, and Functional Analysis. He has held various academic roles since 1984, including Editorial Leadership in Publicacions Matemàtiques (2007–2011) and coordinated several research projects at the Centre de Recerca Matemàtica (CRM). Education: Ph.D. in Mathematical Sciences (UAB, 1990) and a Degree in Mathematics (UAB, 1984). Research Projects STOCHASTIC PROPERTIES IN GEOMETRIC FUNCTION THEORY (2022–2026) Aspectos probabilísticos y geométricos de la teoría de funciones (2018–2022) TEORIA GEOMETRICA DE FUNCIONES (2015–2018) He has advised 10 theses, including notable work on interpolation problems in complex analysis. His grants include funding from the European Regional Development Fund, Spanish Ministry of Economy, and international collaborations. He has held visiting positions at institutions like the University of Washington (2009), Washington University School of Medicine (2008), and Scuola Matematica Interuniversitaria (2002).

An Thai Leمشاهده پروفایل

استادیار

• Robot Learning
• Motion Planning
• Optimal Transport Theory
• +۳ مورد دیگر

An Thai Le is an Assistant Professor at VinUniversity and Head of AI at VinRobotics . He remains affiliated with TU Darmstadt as a Visiting Professor in the Intelligent Autonomous Systems lab. His research focuses on scaling robotics learning and planning methods with batch optimization, optimal transport theory, and generative models. Scaling robot learning & planning for long-horizon, high-dimensional state-space, and multi-agent systems Applications of Optimal Transport in robotics, molecular representation, and CLIP embedding alignment Development of diffusion models for motion planning and grasp generation His recent work explores tensor planning, geometric goal inference, and kinematics correspondence. He has supervised numerous master's theses on topics like neural Lyapunov control, hybrid motion-force optimization, and graph correspondence diffusion. An Thai Le has served as a Teaching Assistant for courses including Reinforcement Learning, Statistical Machine Learning, and Robot Learning Integrated Project. He reviews for top robotics and machine learning venues such as NeurIPS, ICRA, and CoRL. He completed his Ph.D. at TU Darmstadt's Intelligent Autonomous Systems lab, building on prior internships at Bosch AI and master's research advised by Dr. Meng Guo and Dr. Jim Mainprice.

• Applied Mathematics
• Theoretical Computer Science
• Probability Theory
• +۲ مورد دیگر

Alex Karrila is an Assistant Professor (tenure track, level 2) at Åbo Akademi University's Faculty of Natural Sciences and Engineering , Department of Mathematics. Their research focuses on lattice theory, random conformal geometry, and mathematical analysis, with applications in coding theory and statistical mechanics. Specializes in Well-rounded Lattices and Gaussian Wiretap Channels Active in Positively Homogeneous Functions and Minkowski Inequality Investigates Eavesdropper security models and Coset Coding Recent publications analyze the six-vertex model's height function delocalization and convergence of random curves in conformal geometry. Their work intersects with subfields including Schramm-Loewner Evolution (SLE), KPZ equation scaling limits, and Green's functions. All publications are peer-reviewed and open-access where available.

• Stochastic Processes
• Martingale Representation Properties
• Markov Jump Processes
• +۴ مورد دیگر

Kais Hamza is a Professor and Deputy Head of School at the School of Mathematics, Monash University , with a focus on stochastic processes and their applications. His research bridges theoretical probability (martingales, Markov jump processes) and practical domains like financial market modeling, population dynamics, and biomedical systems. Stochastic Processes : General theory, martingale representation, and random walk analysis Mathematical Finance : Financial derivatives, volatility models, and scenario generators Biomedical Applications : Vocal cord dysfunction diagnostics, COPD exacerbation biomarkers, and respiratory imaging Recent work includes books and articles on stochastic calculus, CT imaging for laryngeal disorders, and metabolic biomarkers in COPD. No specific student advisement details are provided. Key collaborations span institutions like the Australian Research Council and Data61 , with projects on topics like Self-Interacting Random Walks (2023–2026).

Filippo Bracciمشاهده پروفایل

استاد

• Geometric Function Theory
• Iteration Theory and Commuting Holomorphic Maps
• Holomorphic Foliations
• +۵ مورد دیگر

Filippo Bracci is a Full Professor at the Department of Mathematics , University of Rome Tor Vergata . His work focuses on geometric function theory, holomorphic dynamics, and complex analysis in higher dimensions, with applications to semigroups of holomorphic maps and Loewner equations. Research Interests include geometric function theory, iteration theory, holomorphic foliations, complex Monge-Ampère equations, and visibility properties in convex domains. He has contributed to understanding holomorphic evolution equations and their connections to dynamical systems. Grants : Principal Investigator for ERC Starting Grant 277691 (HEVO) and multiple PRIN projects (2007–2022) on complex manifolds and dynamics. Editorial Roles : Member of editorial boards for journals such as Computational Methods and Function Theory , Bulletin des Sciences Mathématiques , and Complex Analysis and Operator Theory . Leadership : Vice-President of INdAM (Istituto Nazionale di Alta Matematica) and involved in organizing seminars and academic programs.

• Differential Geometry
• Geometric Analysis
• Partial Differential Equations
• +۲ مورد دیگر

Luciano Mari is an active mathematics researcher affiliated with the Class of Sciences, specializing in differential geometry and geometric analysis. His research encompasses both theoretical and applied aspects of mathematics with significant contributions to the field. Research interests focus on: Analysis of minimal submanifolds and their spectral properties Nonlinear partial differential equations with geometric applications Conformal geometry and Möbius transformations Spectral theory on Riemannian manifolds Extensions of classical geometric theorems Publication analysis reveals consistent work in geometric analysis since 2009, with recent focus on nonlinear equations, spectral estimates for submanifolds, and applications of maximum principles in Riemannian settings. The research shows progressive development from foundational geometric theory toward applications in PDEs and spectral analysis. Collaborative work spans multiple countries including Brazil, United States, and various European institutions. While specific awards aren't mentioned, the publication record in prestigious mathematics journals indicates significant recognition in the field. Current research directions appear to include nonlinear problems in conformal geometry, spectral properties of immersed submanifolds, and generalizations of classical geometric theorems to non-Euclidean settings.

Christophe Garbanمشاهده پروفایل

استاد

• Probability theory
• Statistical mechanics
• Conformal invariance
• +۷ مورد دیگر

Christophe Garban is a Professor at Université Lyon 1 and Visiting Professor at the Courant Institute, NYU (2025–2026). He obtained his PhD from Université Paris-Sud (2008) and his Habilitation (HDR) in 2013. His research focuses on probability theory, statistical mechanics, conformal invariance, and critical phenomena, including SLE processes, percolation, Liouville quantum gravity, and lattice gauge theories. His work bridges mathematical rigor with physical intuition, exploring phase transitions, Gaussian fields, and disordered systems. Key themes include scaling limits of random processes, noise sensitivity, and geometric aspects of statistical physics. Recent projects analyze turbulence models, branching Brownian motion, and symmetry breaking in spin systems. Garban has received numerous awards, including the ERC Consolidator Grant (2021), Prix Marc Yor (2018), and Rollo-Davidson Prize (2011). He serves as editor for journals like Annals of Probability and Probability and Mathematical Physics . He mentors doctoral and postdoctoral researchers, with alumni at institutions like EPFL, CNRS, and TIFR.

Christopher Plumbergمشاهده پروفایل

استادیار

• Theoretical High-Energy Nuclear Physics
• Relativistic Fluid Dynamics
• High-Performance Computing
• +۵ مورد دیگر

Christopher Plumberg is an Assistant Professor of Physics in the Natural Science Division at Pepperdine University's Seaver College. He holds a PhD from The Ohio State University (2016) and completed postdoctoral research at the University of Minnesota, Lund University (Sweden), and the University of Illinois at Urbana-Champaign. His research specializes in theoretical high-energy nuclear physics , utilizing relativistic fluid dynamics and high-performance computing to model nuclear collisions. Key interests include: Quark-gluon plasma formation Causality violations in collision simulations Critical points in nuclear matter Charge diffusion processes His recent publications (2020–2025) focus on heavy-ion collisions, hydrodynamic simulations, and signatures of quantum chromodynamics phase transitions, with frequent collaborations at facilities like RHIC and LHC. He teaches undergraduate courses including Physics I/II, Modern Physics, and Research Methods. Outside research, he examines science-philosophy intersections, particularly Christian apologetics.