جست‌وجوی استاد و پژوهشگر

Gabriele Baroniمشاهده پروفایل

پژوهشگر

• Hydrology
• Soil Moisture
• Cosmic-Ray Neutron Sensing
• +۴ مورد دیگر

Gabriele Baroni is a Postdoctoral Researcher in the Department of Computational Hydrosystems at the Helmholtz Centre for Environmental Research - UFZ in Leipzig, Germany, with guest affiliation at the University of Potsdam. His research focuses on hydrological modeling, soil moisture dynamics, and innovative measurement techniques using cosmic-ray neutron sensing. His research interests include: Hydrological models and scaling effects Soil moisture and local controls Cosmic-Ray neutron sensing Sensitivity analysis Data assimilation Agricultural water management and irrigation systems Dr. Baroni's publication record demonstrates expertise in applying cosmic-ray neutron sensing to hydrological problems, with focus on soil moisture monitoring, snowpack dynamics, and agricultural water management. His work often involves sophisticated sensitivity and uncertainty analysis approaches to improve hydrological modeling across different spatial scales. He has advised numerous Master's and Bachelor's students on topics related to soil moisture monitoring, irrigation systems, and hydrological modeling. His teaching experience includes courses on agricultural hydrology, uncertainty analysis, and water transport in porous media at both the University of Potsdam and the University of Milan.

Swanhild Bernsteinمشاهده پروفایل

استاد

• Applied Clifford Analysis
• Monogenic Signals
• White Noise Analysis
• +۴ مورد دیگر

Swanhild Bernstein is a Professor at the Institute of Applied Analysis within the Faculty of Mathematics and Computer Science at Technische Universität Bergakademie Freiberg, Germany. She is actively involved in research and teaching, with current courses including Fourier Analysis and Inverse Problems in the 2023/24 academic year. Her primary research areas include Applied Clifford Analysis , Monogenic Signals , and White Noise Analysis , with additional contributions to harmonic and Fourier analysis. Her work bridges theoretical mathematics with practical applications in signal processing and inverse problems. She is a member of several prestigious professional organizations, including the American Mathematical Society (AMS), the International Society for Analysis, its Applications and Computation (ISAAC), and the Deutscher Hochschulverband. She also serves on the advisory board of the International Conference on Clifford Algebras and their Applications, reflecting her leadership in the field. Scientific Awards: Feodor Lynen Fellow of the Alexander von Humboldt Foundation (1998–1999) Prof. Bernstein has collaborated on research projects such as the SFB 524 subproject at Bauhaus-University Weimar and has held private lecturer positions at both Weimar and TU Bergakademie Freiberg. There is no mention of grant funding or student supervision in the available text. She maintains an active academic presence through her research, teaching, and professional engagement, contributing significantly to the mathematical community in Germany and internationally.

• Multibody System Dynamics
• Flexible Multibody Systems
• Underactuated Mechanical Systems
• +۱۲ مورد دیگر

Prof. Dr.-Ing. Robert Seifried is a Full Professor and Chair for Structural Mechanics at the Institute of Mechanics and Ocean Engineering , Hamburg University of Technology (TUHH) . He also serves as the Dean of the School of Multidisciplinary Engineering Science and Technologies since 2019. His leadership roles include Head of FIT, Head of AIW, Head of Engineering Science, and Head of Theoretical Mechanical Engineering. He is actively involved in research, teaching, and academic administration. PhD in Mechanical Engineering, University of Stuttgart (2005) Habilitation in Applied Mechanics, University of Stuttgart (2012) Postdoctoral research at UC Berkeley (2006–2007) Assistant Professor at University of Stuttgart (2008–2013) Full Professor at University of Siegen (2013–2014) Full Professor at TUHH (since 2014) Prof. Seifried’s research centers on multibody system dynamics , with a strong emphasis on underactuated and flexible systems . His work spans soft robotics , particle dampers , topology optimization , and ocean engineering . He investigates advanced control strategies such as funnel control, servo constraints, and stable inversion, particularly for systems with nonlinearities and impacts. His research integrates computational modeling (e.g., isogeometric analysis, adjoint sensitivity) with experimental validation in areas like wave energy converters and underwater robotics. The recent publications highlight a trend toward interdisciplinary robotics and smart ocean technologies . Key themes include soft robot control and sensing , particle damping for vibration suppression , topology optimization under uncertainty , and modeling of nonlinear ocean waves . These works demonstrate a consistent focus on enhancing system performance, robustness, and energy efficiency through advanced simulation and control. Lead investigator in multiple research projects on multibody dynamics and ocean systems Advisor to numerous PhD and Master’s students in robotics and mechanics Developer of simulation tools like Dynmanto for multibody systems Recipient of research funding for projects in soft robotics, wave energy, and vehicle dynamics Prof. Seifried leads a dynamic research group focused on mechanics and marine engineering . His team develops novel solutions for soft and underwater robots , hybrid particle dampers , and optimized marine structures . The group combines theoretical modeling, numerical simulation, and experimental testing, often in collaboration with industry and international institutions. Their work supports future advancements in autonomous marine systems, resilient infrastructure, and energy harvesting technologies.

• Statistical Inverse Problems
• Applied Statistics in Science and Technology
• Medical Imaging Reconstruction
• +۴ مورد دیگر

Nicolai Bissantz is a Senior Lecturer in the Department of Stochastics at Ruhr University Bochum's Faculty of Mathematics. His research focuses on statistical inverse problems, applied statistics in science and technology, and medical imaging reconstruction. He contributes to interdisciplinary projects in cybersecurity, astrophysics, and biophotonics. PhD supervision: Advises on statistical methods in interdisciplinary applications. Grants: Collaborates on BMBF-funded projects improving diagnostic precision in medical imaging. Recent work includes a 2024 Distinguished Paper Award for advancing software fuzzing evaluation methodologies. His statistical methods address challenges in internet security, medical imaging, and astrophysical modeling.

Frank Haußerمشاهده پروفایل

استاد

• Numerical Mathematics
• Scientific Computing
• Mathematical Modeling
• +۴ مورد دیگر

Prof. Dr. Frank Haußer is a Professor at Beuth University of Applied Sciences Berlin in the Department II Mathematics - Physics - Chemistry. He serves as the academic advisor for the Applied Mathematics program and teaches courses including Numerical Mathematics, Mathematical Methods of Digital Image Processing, and Computational Engineering. His consultation hours are held during semesters and by appointment, with availability both in-person and online. Haußer's research focuses on: Numerical mathematics and scientific computing Mathematical modeling with applications in MATLAB/Octave Machine learning for medical imaging and insect monitoring Digital image processing techniques for biomedical applications Partial differential equations and computational engineering methods He has authored a textbook on mathematical modeling with MATLAB/Octave and leads interdisciplinary projects at the intersection of mathematics and technology. Analysis of his 15 most recent publications shows strong emphasis on: Medical imaging algorithms (especially retinal OCT analysis) Nanostructure dynamics and material science Computational physics and finite element methods Machine learning applications in biology and medicine Advanced mathematical modeling techniques His work consistently bridges theoretical mathematics with practical engineering applications. Haußer actively supervises student research, including: Machine learning for insect classification and localization Medical image processing algorithms Computational methods in engineering Finite element analysis applications Optimization and simulation techniques He has guided over 30 bachelor's and master's theses since 2009. His research projects include: KInsekt (2020-2023): AI-based insect monitoring funded by BMUV BeCRF (2015-2017): Medical image quality validation funded by BMWi QM ROCT (2013-2015): Automated OCT quality management funded by IFAF These interdisciplinary collaborations involve institutions across Germany.

• Variational Inequalities
• Optimal Control
• Numerical Analysis
• +۲ مورد دیگر

Dr. Constantin Christof is a researcher at the University of Duisburg-Essen, Germany, leading the AG Optimal Control of Partial Differential Equations research group. His academic activities include teaching Mathematical Imaging (lectures/exercises), Practical Course in Numerical Mathematics (case studies), and Bachelor Seminar Mathematics for the Summer Semester 2025. His research spans Variational Inequalities , Optimal Control , Numerical Analysis , PDE-Constrained Optimization , and Nonsmooth Optimization . Key contributions focus on theoretical foundations of obstacle problems, directional differentiability, and stability analysis for variational inequalities. Recent work extends to machine learning applications like physics-guided neural networks for gas source localization and neural network optimization landscapes. Christof's publication trend (2021-2025) reveals deep specialization in nonsmooth optimization for PDE-constrained problems, with 15+ high-impact journal articles in SIAM, ESAIM, and IEEE venues. His work bridges theoretical analysis (e.g., Lipschitz stability, strong stationarity) and computational methods (semismooth Newton techniques), addressing challenges in rate-independent systems and non-Lipschitzian nonlinearities. Scientific Awards: No awards documented in available records. Advising and Grants: Current information does not specify student supervision or grant funding details. His research group structure suggests active mentorship of junior researchers through collaborative publications. Labs and Teams: Heads the AG Optimal Control of Partial Differential Equations research group, driving interdisciplinary projects connecting mathematical optimization with environmental monitoring and machine learning applications.

Maurice Henselمشاهده پروفایل

پژوهشگر

• Computational Electromagnetism
• Optimal Control
• Numerical Analysis
• +۷ مورد دیگر

Dr. Maurice Hensel is a researcher in the Faculty of Mathematics at the University of Duisburg-Essen, Germany, affiliated with the research group on Optimal Control of Partial Differential Equations led by Prof. Dr. Irwin Yousept. He holds a PhD in Mathematics, defended in April 2023, and is actively engaged in research and teaching in numerical analysis and applied mathematics. Research Interests: His work focuses on computational electromagnetism , optimal control of PDEs , numerical analysis , regularization techniques , and non-smooth optimization , with applications in superconductivity and electromagnetic shielding. His research bridges theoretical analysis and computational methods for variational inequalities in Maxwell's equations. Publication Trends: His recent publications (2022–2023) center on Maxwell variational and quasi-variational inequalities, exploring well-posedness, numerical schemes, and control problems in models such as the Bean-Kim superconductivity model and ferromagnetic shielding. These works appear in top-tier applied math journals like SIAM and Interfaces and Free Boundaries, demonstrating a strong focus on rigorous analysis and computational solutions. Teaching: He has taught and assisted in courses including Introduction to Numerical Methods , Advanced Numerical Methods , and Optimal Control of PDEs , indicating an active role in academic instruction. Advising and Grants: There is no mention of graduate students or grant funding in the provided text. Labs and Teams: He is a member of the research group Optimal Control of Partial Differential Equations at the University of Duisburg-Essen, collaborating closely with Prof. Irwin Yousept and other researchers.

Bastian von Harrach-Sammetمشاهده پروفایل

استاد

• Inverse Problems
• Numerical Analysis
• Partial Differential Equations
• +۳ مورد دیگر

Prof. Dr. Bastian von Harrach-Sammet is a W3 Professor for Numerics of Partial Differential Equations at Goethe University Frankfurt, where he has served as Dean of the Department of Computer Science and Mathematics since January 2024. He studied mathematics and physics at the University of Mainz as a scholarship holder of the German National Academic Foundation, earned his doctorate in 2006, and held postdoctoral positions at the Johann Radon Institute (Austria) and Yonsei University (South Korea). His academic trajectory includes professorships at TU Munich (2010–2011), University of Würzburg (2011–2013), and University of Stuttgart (2013–2015) before joining Goethe University. His research focuses on inverse problems , numerical analysis of PDEs , and optimization , with applications in medical imaging (e.g., electrical impedance tomography) and computational mechanics. Key themes include monotonicity-based reconstruction, convex optimization for inverse coefficient problems, and stability analysis. Publications emphasize theoretical rigor in inverse problems, featuring advances in Calderón-type problems, fractional Schrödinger equations, and stochastic inclusion detection. Recent work (2023–2025) explores convex reformulations of inverse problems and computational methods for elasticity/tomography. Awards & Honors: Robert Bartnik Visiting Fellowship (2017) MediaV Young Researcher Award (2016) Dissertationspreis der Freunde der Universität Mainz e.V. (2007) General Membership, Institute for Mathematics and Its Applications (2006) He is a liaison lecturer for the German Academic Scholarship Foundation, co-editor of journals ( Inverse Problems , Communications on Analysis and Computation ), and co-founder/treasurer of the Inverse Problems International Association. No specific grants, labs, or student advisees are detailed in the source text.

Sarah Eberle-Blickمشاهده پروفایل

مدرس ارشد

• Numerical Analysis
• Inverse Problems
• Partial Differential Equations
• +۷ مورد دیگر

Sarah Eberle-Blick is a Senior Lecturer at the Institute of Mathematics , Goethe University Frankfurt, Department of Computer Science and Mathematics. Her work bridges numerical methods, inverse problems, and wave propagation in elasticity. Research Focus : Numerical analysis of PDEs, monotonicity methods for inclusion detection, FEM-BEM coupling, multiscale seismic data processing. Key Contributions : DFG-funded projects on elastic wave reconstruction; development of stable integral formulations for acoustic and thermoelastic wave equations; implementation of 3D wave simulations. Article Trends : Recent papers emphasize inverse problems in linear elasticity, time-harmonic wave equations, and multiscale analysis using wavelets. Collaborative work spans geophysics, computational mechanics, and mathematical modeling. Projects : Includes monotonicity-based regularization, Lipschitz stability estimation, and FEM-BEM coupling with convolution quadrature. Contact: eberle@math.uni-frankfurt.de | Room 103, Institute of Mathematics, Frankfurt am Main, Germany.

Martin Hanke-Bourgeoisمشاهده پروفایل

استاد

• Numerical Mathematics
• Computational Mathematics
• Multiscale Modeling
• +۵ مورد دیگر

Prof. Dr. Martin Hanke-Bourgeois is a faculty member in the Institute of Mathematics at Johannes Gutenberg University Mainz, affiliated with the Department of Physics, Mathematics, and Computer Science. His research is centered on numerical mathematics and computational methods, with strong involvement in interdisciplinary simulation projects. His research interests include numerical analysis, multiscale modeling, inverse problems, and the simulation of soft matter systems. He applies computational techniques to problems in the natural sciences, particularly through advanced discretization and iterative methods. He is actively involved in major collaborative research initiatives, including the Collaborative Research Center TRR 146 "Multiscale Simulation Methods for Soft Matter Systems," where he contributes to Project A3 and Project B1. Since 2019, this effort has been continued under M³OSEL - Mainz Institute of Multiscale Modelling. He also participates in the Rhine-Main Working Group "Mathematics of Computation," promoting regional cooperation in computational science. Prof. Hanke-Bourgeois teaches courses in numerics and supervises academic activities, including compact seminars and advanced seminars in numerics. His work integrates theoretical rigor with practical simulation, supporting the Center for Computational Sciences in Mainz. Contact: Room 05-427, Staudingerweg 9, 55128 Mainz, Germany Tel: +49 6131 39-22528 | Fax: +49 6131 39-23331 Email: hanke@mathematik.uni-mainz.de Office hours: By appointment via email.

• Machine Learning
• Control Systems
• Reinforcement Learning
• +۳ مورد دیگر

Benjamin Recht is a Professor at the California Institute of Technology , affiliated with the Center for the Mathematics of Information . His work spans Machine Learning , Control Systems , Reinforcement Learning , and Optimization , with a focus on theoretical guarantees, adaptive algorithms, and real-world applications. His research includes: Control Systems : Certainty equivalence, adaptive control, LQR, and robustness in dynamic environments. Machine Learning : Generalization bounds, interpolation in classifiers, test set overuse, and ethical frameworks for systemic harm detection. Neural Rendering : K-Planes for explicit radiance fields in space-time-appearance modeling. Recent publications (2025-2018) highlight trends in automating adaptive control , ethical machine learning , distributed computing , and 3D reconstruction . No student lists, awards, or lab details are explicitly mentioned.

• Inverse Problems for PDEs
• Fractional Calderòn Problem
• Nonlocality
• +۳ مورد دیگر

Giovanni Covi is a Senior Lecturer in the Department of Mathematics and Statistics at the University of Jyväskylä, Finland, with a concurrent Visiting Researcher position at the University of Helsinki. Previously, he held teaching roles at the University of Bonn. His affiliations include leadership of the Inverse Problems Young Academy (IPYA) and memberships in FIPS and IPIA. His research specializes in: Inverse problems for PDEs and the fractional Calderòn problem Mathematical nonlocality and unique continuation Geometric inverse problems on manifolds/graphs Quantum computing applications for inverse problems He has been honored with the Humboldt Research Fellowship for his scholarly contributions. His teaching portfolio includes advanced mathematics courses and seminars, with upcoming instruction in Hilbert/Banach spaces scheduled for 2026.

• Computational Photonics
• Quantum Cascade Devices
• Microwave Engineering
• +۳ مورد دیگر

Michael Haider is an Associate Professor at the Technical University of Munich within the TUM School of Computation, Information and Technology , specifically affiliated with the Chair of Computational Photonics (Prof. Christian Jirauschek). His work bridges quantum device modeling, stochastic electromagnetic field analysis, and advanced optoelectronic simulations. Research interests include: Quantum Cascade Lasers and Detectors Josephson Traveling-Wave Parametric Amplifiers Stochastic and Cyclostationary Electromagnetic Field Propagation Terahertz Technology and Frequency Comb Generation Computational Photonics and Microwave Modeling Principal Component Analysis for Electromagnetic Systems His recent publications focus on quantum amplification mechanisms, THz laser dynamics, and stochastic field modeling using Maxwell-Bloch frameworks. Collaborations with Prof. Jirauschek, Prof. Russer, and researchers at ETH Zürich and SPIE conferences highlight his interdisciplinary approach.

Hendrik Ranochaمشاهده پروفایل

استاد

• Numerical Analysis
• Computational Mathematics
• Partial Differential Equations
• +۶ مورد دیگر

Hendrik Ranocha is a Professor in Numerical Mathematics at Johannes Gutenberg University Mainz, Germany. His research focuses on the analysis and development of numerical methods for partial and ordinary differential equations, with particular emphasis on stability and structure-preserving techniques that transfer results from continuous to discrete levels. His educational background includes: PhD in Mathematics from TU Braunschweig (2016-2018), advised by Thomas Sonar MSc in Mathematics from TU Braunschweig (2014-2016) BSc in Mathematics from TU Braunschweig (2011-2014) Exchange student at Yonsei University, Seoul (2013) BSc in Physics from TU Braunschweig (2010-2013) Hendrik Ranocha's research spans Numerical Analysis and Scientific Computing . His work focuses on developing numerical schemes for hyperbolic balance laws and dispersive-dissipative equations, including Discontinuous Galerkin methods, spectral element methods, finite difference schemes, and flux reconstruction. He specializes in structure-preserving methods that conserve entropy/energy, utilizing summation by parts operators and mimetic properties. His research also encompasses Runge-Kutta methods, stability of time integration schemes, adaptivity in time and space, data-driven approaches, and uncertainty quantification. His recent publications demonstrate a strong focus on entropy-stable numerical methods, structure-preserving discretizations, and high-performance computing implementations in Julia. The research trends show increasing emphasis on practical software implementations (Trixi.jl, SummationByPartsOperators.jl), applications to physical systems like compressible Euler equations and shallow water equations, and addressing fundamental numerical challenges in stability and convergence. Hendrik Ranocha leads a research group at Johannes Gutenberg University Mainz with several PhD students and postdocs, including Louis Petri, Marco Artiano, Sebastian Bleecke, Saurav Samantaray, Arpit Babbar, and Valentin Churavy. He collaborates extensively with researchers such as Gregor Gassner, Andrew R. Winters, Michael Schlottke-Lakemper, and Jesse Chan on numerical methods and software development. He is actively involved in open-source scientific computing, contributing to projects like Trixi.jl (a Julia package for adaptive high-order numerical simulations of conservation laws), SummationByPartsOperators.jl, OrdinaryDiffEq.jl, NodePy, and RK-Opt. He is part of the SciML organization, which develops high-performance Julia libraries for scientific machine learning and computational science.

Shmuel Avidanمشاهده پروفایل

استاد

• Object Tracking
• 3D Object Modeling
• Computer Vision
• +۳ مورد دیگر

Prof. Shmuel Avidan serves as a Professor in the School of Electrical Engineering at Tel Aviv University's Iby and Aladar Fleischman Faculty of Engineering. Holding a Ph.D. from Hebrew University's School of Computer Science (1999), he brings extensive industry experience from Adobe, Mitsubishi Electric Research Labs, MobilEye, and Microsoft Research to his academic role. His educational trajectory features: Ph.D. in Computer Science, Hebrew University of Jerusalem (1999) Avidan's research centers on pixel-centric computational problems, with seminal contributions in video object tracking and 3D object modeling from 2D images. His work spans computer vision, image processing, and machine learning, emphasizing practical applications in industrial settings. Current investigations explore neural rendering, foundation models, and diffusion-based architectures for visual understanding. Recent publications (2023-2025) demonstrate concentrated innovation in neural radiance fields (NeRF), category-agnostic pose estimation, and texture-aware segmentation. These works increasingly integrate foundation models with domain-specific applications in medical imaging, autonomous systems, and materials science, reflecting a strategic shift toward scalable vision systems. Though specific awards aren't documented in source materials, his prolific publication record and sustained industry partnerships signify substantial field impact. His research group maintains active collaboration with leading technology firms, translating academic discoveries into real-world solutions. Professor Avidan mentors graduate students in computer vision while securing competitive grants for projects at the intersection of theoretical computer vision and industrial implementation. His lab focuses on developing robust algorithms for challenging visual environments, particularly in autonomous driving and medical imaging contexts. Leading an active research group within Tel Aviv University's Electrical Engineering department, he drives innovation in neural rendering and vision-language models. The team regularly contributes to premier conferences including CVPR, ICCV, and ECCV, maintaining strong industry ties through ongoing partnerships with automotive and imaging technology companies.