Find Academic Supervisors

• Optimization
• Partial Differential Equations
• Numerical Analysis
• +3 more

Professor Ekkehard Sachs is affiliated with the Department of Mathematics at the University of Trier . His research focuses on optimization, numerical analysis, control theory, and their applications in fields such as partial differential equations (PDEs), mathematical finance, and engineering. He has made significant contributions to PDE-constrained optimization, Riccati feedback control, and reduced-order modeling techniques. His work spans theoretical developments and computational methods, with a strong emphasis on interdisciplinary applications. Notable areas include the analysis of non-monotone line search algorithms, the study of Ramsey models in economics, and the numerical solution of complex systems such as integro-differential equations. Sachs has also contributed to the calibration of financial market models and the design of efficient numerical algorithms for optimal control problems. His publications highlight advancements in optimization theory, numerical methods for PDEs, and computational techniques for high-dimensional problems. While no specific scientific awards or grants are explicitly mentioned, his extensive publication record reflects a prolific and impactful academic career. His involvement in organizing international conferences and editing proceedings underscores his influence in the optimization community.

• Numerical Linear Algebra
• Differential-Algebraic Equations
• Control Theory
• +3 more

Prof. Tatjana Stykel is a Professor of Computational Mathematics at the University of Augsburg, affiliated with the Faculty of Mathematics, Natural Sciences, and Materials Engineering. She holds positions in the Institute of Mathematics and leads the Computational Mathematics research group. Her academic journey includes a PhD from Technische Universität Berlin (2002) and a Habilitation (2009), both in numerical mathematics. Prior to her current role, she led a junior research group at TU Berlin’s MATHEON Research Center and held visiting professorships at TU Berlin and Humboldt-Universität zu Berlin. Stykel’s research focuses on Numerical Linear Algebra (e.g., generalized eigenvalue problems, matrix equations), Differential-Algebraic Equations (numerical methods and stability), and Control Theory (descriptor systems, model reduction). She has pioneered energy-adaptive optimization methods and Riemannian geometry techniques for complex systems, including applications in quantum chemistry and electromagnetism. Her awards include the Richard von Mises Prize (2007), Leslie Fox Prize (2003), and multiple fellowships from the Pacific Institute for the Mathematical Sciences and Soros programs. She has led major projects like the EU-funded EU-MORNET (2014–2018) and contributed to BMBF networks in model reduction for coupled systems. Stykel teaches advanced numerical methods, including courses on differential equations, optimization, and model reduction. Her work emphasizes interdisciplinary collaboration, with partnerships in robotics, semiconductor technology, and fluid dynamics. She advises several students, including alumni who have become prominent in applied mathematics and engineering.

Lukas PottmeyerView profile

Researcher

• Number Theory
• Diophantine Approximation
• Algebraic Number Theory
• +2 more

Dr. Lukas Pottmeyer is a faculty member at the Faculty of Mathematics, University of Duisburg-Essen, with offices in both Essen (WSC-N-3.38) and Duisburg (BC 507). He serves as Student Advisory Service coordinator and teaches core mathematics courses for engineering and computer science students, including Mathematics for Engineering (WS 25/26), Stochastics I, Mathematical Modeling, and Discrete Mathematics across multiple semesters. His research focuses on Number Theory, particularly Diophantine Approximation, Arithmetic Dynamics, and Height Functions. Publications span from 2013-2022 with significant contributions to Mahler measure dynamics, $p$-adic numbers, and Bogomolov-type properties. His 2019 German-language textbook Discrete Mathematics (Springer-Spektrum) supports undergraduate instruction. Research trends show consistent specialization in algebraic number theory with increasing focus on dynamical systems applications. His Erdős number is 3, reflecting connections to prominent mathematicians. Teaching responsibilities include developing course structures with integrated lectures, exercises, and tutorials emphasizing solution-writing practice. Professional service includes student advising with structured consultation hours, mentoring for mathematics bachelor programs, and coordination of resources like STEP teams and mentoring groups. He actively supports students through the Academic Counseling Center and emphasizes foundational courses in Analysis and Linear Algebra.

• Partial Differential Equations
• Mathematical Finance
• Basis Properties of Function Systems
• +3 more

Falko Baustian is a Researcher at the Institute of Mathematics, University of Rostock, working at the chair of Applied Analysis. He serves as the internationalisation representative for mathematics students seeking study abroad opportunities and teaches undergraduate mathematics courses. Dr. Baustian completed his doctoral studies at the University of Rostock, where he wrote his dissertation "Analyticity in time and space for a semilinear Cauchy problem" and his diploma thesis "The Black-Scholes models and complete markets" under the supervision of Prof. Dr. Peter Takáč. His research focuses on partial differential equations , with two primary strands: basis properties of eigenfunctions (particularly Fučík eigenfunctions for Dirichlet and Neumann boundary conditions) and applications to mathematical finance . His work bridges theoretical mathematics with practical financial applications, especially in derivative pricing and risk modeling. Dr. Baustian's publication record shows consistent research in nonlinear PDEs and financial mathematics. His recent work explores value adjustments (xVA) in derivative pricing, monotone iteration schemes for nonlinear PDEs in risk models, and spectral properties of nonlinear differential operators. Active international collaborations with University of West Bohemia, Ufa Federal Research Centre, and Université Toulouse 1 Capitole Regular presenter at international PDE conferences including UNC Greensboro and Marseille-Toulouse-Rostock Meetings Participant in Erasmus+ teaching mobility program As an educator, Dr. Baustian teaches Analysis courses at multiple levels and is actively involved with RHO e.V., a non-profit organization providing mathematics education beyond the standard curriculum for interested students in Mecklenburg-Vorpommern, including preparation for mathematics olympiads.

Ahmet Nihat SimsekView profile

Researcher

• Neuroinformatics
• Big Data Management
• Software Development
• +3 more

Dr. Ahmet Nihat Simsek is a Researcher at the Structural and Functional Organization of the Brain (INM-1) department within the Institute of Neuroscience and Medicine at Forschungszentrum Jülich GmbH . His work focuses on Neuroinformatics , Big Data Management , and Software Development for scientific applications. Specializes in computational tools for neuroscientific research Active in Big Data Analytics Working Group Develops software infrastructure like siibra-python Location: Building 15.9 / Room 3027, Jülich, Germany His research combines biophysical modeling with data science , spanning from neuroimaging informatics to molecular adhesion mechanics . Recent publications demonstrate expertise in: Quantifying bacterial adhesion dynamics under shear stress Developing advanced traction force microscopy algorithms Mathematical modeling of fractal systems Specific work includes: Investigating Type IV pili in Pseudomonas aeruginosa Creating self-stabilizing mechanisms for biomolecular adhesions Advancing Bayesian parameter selection in microscopy Studying substrate-rigidity effects on bacterial migration Mathematical analysis of Jacobi matrices for fractal measures

Barbara KönigView profile

Professor

• Automata Theory
• Formal Languages
• Software Security
• +5 more

Barbara König is a Professor at the University of Duisburg-Essen, affiliated with the Department of General Computer Science within the Faculty of Computer Science. Her research focuses on theoretical computer science, with a strong emphasis on formal methods, graph transformation systems, coalgebraic semantics, and behavioral metrics. She leads a team of researchers including postdocs and PhD students like Rebecca Bernemann and Sebastian Gurke. Her work integrates mathematical rigor with practical applications in formal verification, probabilistic systems, and automated reasoning. König has organized and contributed to numerous international conferences such as CSL, CONCUR, and ICGT, highlighting her role in advancing the field’s research agenda. Key research themes include fixpoint theory, coalgebraic modal logics, and the development of tools like CoReS for graph analysis. Her current projects explore quantitative logics, behavioral distances, and abstraction-refinement techniques for complex systems analysis. König actively contributes to academic communities through editorial roles and serves as a mentor in the university’s theoretical computer science department. Her interdisciplinary approach bridges foundational theory with applied challenges in software engineering and system modeling.

• Computational Fluid Dynamics
• Fluid-Structure Interaction
• Computational Structural Dynamics
• +12 more

Dr.-Ing. Norbert Hosters is a Research Associate and Chief Engineer at the Chair for Computational Analysis of Technical Systems (CATS), Faculty of Mechanical Engineering, RWTH Aachen University. He has been active since 2020 and serves as General Secretary of the German Association for Computational Mechanics (GACM). His work bridges advanced computational methods with engineering applications. His research focuses on numerical methods for fluid-structure interaction , computational fluid and structural dynamics , isogeometric analysis , and aerothermoelasticity . He also explores applied quantum methods and physics-informed neural networks for solving complex PDEs and optimizing industrial processes. His interdisciplinary work spans mechanical, biomedical, and computational engineering. The recent publications (2023–2025) demonstrate a strong trend toward integrating machine learning with traditional simulation techniques, particularly in partitioned FSI , multiphase flow , shape optimization , and biomedical simulations such as LVAD modeling. His work appears in high-impact journals like Scientific Reports , Computers & Fluids , and International Journal for Numerical Methods in Engineering , as well as major conferences including GACM and CMBE. He is actively involved in teaching courses on Numerical Methods for Fluid-Structure Interaction , Isogeometric Analysis , and Simulation Methods in Mechanical Engineering . He offers student projects and supervises research, though no named advisees are listed. He has no listed scientific awards or fellowships. His research is conducted within the CATS chair, a leading group in computational mechanics, contributing to both fundamental methods and industrial applications. He plays a key role in academic service through GACM leadership.

Moritz DiehlView profile

Professor

• Optimization
• Control Systems
• Embedded Systems
• +3 more

Prof. Moritz Diehl is a Professor at the University of Freiburg, leading the Systems Control and Optimization Laboratory within the Department of Microsystems Engineering (IMTEK) and affiliated with the Department of Mathematics. Born in Hamburg, Germany, he holds a Ph.D. from Heidelberg University (2001) and previously served as a professor at KU Leuven (2006–2013), where he directed the Optimization in Engineering Center (OPTEC). His research focuses on optimization and control, emphasizing numerical methods for engineering applications, particularly embedded systems and renewable energy. Key areas include model predictive control (MPC), nonlinear optimization, and real-time control systems. Education: He studied physics and mathematics at Heidelberg University and the University of Cambridge (1993–1999), culminating in a Ph.D. in Scientific Computing. His academic journey includes roles at KU Leuven and Freiburg, where he has developed influential tools like the AWEbox framework for airborne wind energy systems and the acados optimization library. Research Interests: His work spans numerical optimal control, MPC algorithms, and their applications in robotics, energy systems, and automotive engineering. Recent advancements include collision-free motion planning, real-time NMPC with convex-concave constraints, and stochastic control methods for mobile robots. He also explores optimization for hybrid systems, leveraging finite elements and switch detection for nonsmooth dynamics. Publications: His 2023–2025 work highlights contributions to MPC stability, energy-efficient control systems, and software tools like LCQPow for quadratic programming. His research bridges theory and practice, addressing challenges in industrial processes, renewable energy integration, and autonomous systems. Labs & Teams: He leads the Systems Control and Optimization Lab, fostering interdisciplinary projects in optimal control, robotics, and sustainable energy. His group collaborates on tools like acados, emphasizing real-time feasibility and scalability for complex systems.

Dorothee FreyView profile

Professor

• Harmonic Analysis
• Partial Differential Equations
• Functional Analysis
• +4 more

Prof. Dr. Dorothee Frey is a Professor in the Department of Mathematics at Karlsruhe Institute of Technology (KIT), where she leads the Functional Analysis Working Group within the Institute for Analysis. Her position is situated in the Faculty of Mathematics, and she maintains an active research program focusing on harmonic analysis, partial differential equations, and functional analysis. With regular office hours on Tuesdays from 10am-11am in room 2.042 of the College Building for Mathematics, she actively supervises seminars and delivers lectures across multiple semesters through 2025. Prof. Frey's research interests center on harmonic analysis and its applications to partial differential equations, particularly wave phenomena, dispersive equations, and operator theory. Her work bridges theoretical mathematics with practical applications in fluid dynamics and mathematical physics. She has developed significant contributions in Strichartz estimates, wave equations with low regularity coefficients, and functional calculus approaches to paraproducts and pseudodifferential operators. Her research demonstrates strong connections between abstract functional analysis techniques and concrete problems in mathematical physics. Analyzing her publication record from 2013-2022 reveals consistent contributions to harmonic analysis, particularly in weighted norm inequalities, operator theory, and PDE applications. Her work shows increasing specialization in wave phenomena and dispersive equations, culminating in her current role as principal investigator in CRC 1173 projects on dispersive estimates for wave equations and nonlinear stability of periodic waves. The trend shows a clear progression from foundational work in functional analysis and harmonic analysis toward increasingly specialized applications in wave phenomena and mathematical physics. Prof. Frey actively contributes to the mathematical community through editorial work, serving on the editorial committees of Mémoires de la SMF and Bulletin de la SMF. Her organizational activities include co-organizing significant workshops and programs, such as the upcoming Frontiers in harmonic analysis program at the Isaac Newton Institute (2027) and the Workshop on Harmonic Analysis and Fluid Flows (2025), as well as past events like the Oberwolfach Seminar on Operator-Adapted Spaces in Harmonic Analysis and PDEs (2022). As a principal investigator in the Collaborative Research Center CRC 1173 'Wave phenomena: analysis and numerics,' Prof. Frey leads two major research projects: A13 on 'Dispersive estimates for wave equations with low regularity coefficients' (with R. Schnaubelt since July 2021) and A14 on 'Nonlinear stability of periodic waves in dissipative-dispersive systems' (with B. de Rijk since July 2023). These projects represent substantial research funding and collaborative efforts within the mathematical community. Prof. Frey is an active member of KIT's mathematical research infrastructure, participating in the Institute for Analysis and contributing to the Junior Research Groups ecosystem, particularly those focused on PDEs and wave phenomena. Her work intersects with multiple research groups within the Department of Mathematics, including those working on nonlinear partial differential equations and stability analysis, creating a robust collaborative environment for advancing mathematical analysis.

• Computational Biology
• Systems Biology
• Computer Science
• +3 more

Andreas Wagner is a researcher affiliated with Helmholtz-Zentrum Dresden-Rossendorf , with a focus on interdisciplinary research spanning computational biology, systems biology, computer science, and materials science. His work explores genotype-phenotype mappings, evolutionary innovation, and robustness in biological systems, while also contributing to machine learning, numerical methods, and positron annihilation spectroscopy in physics. Wagner collaborates internationally, with co-authors from institutions in Germany, Austria, Finland, and beyond. Research Interests : Wagner's research bridges computational biology and systems biology, analyzing evolutionary processes through genotype networks, metabolic innovation, and gene regulatory circuits. He applies machine learning techniques to energy systems, such as solar power forecasting in federated learning frameworks. His physics work involves positron annihilation spectroscopy for material defect analysis, particularly in alloys and thin films. Publications & Data Science : He has published extensively on topics like robust numerical algorithms, adaptive cruise control optimization, and data-driven approaches for systematic reviews. His recent work includes matrix-free preconditioning methods and physics-regularized multi-modal image assimilation for medical imaging. Wagner contributes to open data initiatives, including datasets on radiation damage and material porosity via RODARE.

Arnd HuchzermeierView profile

Professor

• Supply Chain Management
• Real Options
• Production Management
• +3 more

Arnd Huchzermeier is a Full Professor and Chair Holder at WHU – Otto Beisheim School of Management, specializing in Production Management within the Department of Economics. His research centers on optimizing global supply chains through quantitative modeling, with core expertise in real options valuation, risk management, and industrial efficiency. Research Focus: Primary interests include dynamic modeling of manufacturing systems, strategic flexibility in global networks, promotional impacts on supply chains, and innovation management. His work integrates operations research with financial analysis to solve complex industrial problems. Awards & Honors: INFORMS Society of Marketing Science Practice Prize (2003) Management Science Strategic Innovation Prize (2003) Franz Edelman Finalist Award (2002) Mercurius Award (2000) Publications show consistent focus on operational flexibility and risk mitigation, with recent methodological advances in capacity options modeling and demand forecasting. Collaborative research frequently addresses retail optimization and R&D project management.

• Digital Controlling
• Management Accounting
• Business Analytics
• +5 more

Prof. Dr. Imke Keimer is a Professor at the Lucerne University of Applied Sciences and Arts (Hochschule Luzern) in the Department of Economics within the Business School. She is based at the Campus Zug-Rotkreuz and works at the Institute for Financial Services Zug (IFZ) in the CC Controlling (IFZ CO) division. Her work focuses on the intersection of digital transformation and financial management, particularly in the field of controlling. Her educational background includes: 2016: Appointed Professor at Lucerne University of Applied Sciences and Arts 2013: Certificate in University Teaching, Lucerne University of Applied Sciences and Arts 2011: Financial Risk Manager (FRM), Global Association of Risk Professionals (GARP) 2005-2009: Dissertation (Dr. rer. oec.), University of Bern, Topic: "Accounting Policy, IT Investments and the Strategic Orientation of Cost Management - Empirical Work in the Field of Accounting" (summa cum laude) 1999-2005: Studied Business Mathematics (M.Sc.), Technical University of Dortmund (overall grade: very good) Prof. Keimer's research primarily centers on digital transformation in controlling, business analytics, and agile finance. She has developed frameworks for assessing digital maturity in controlling functions and has pioneered approaches to integrate agile methodologies into financial management. Her work bridges theoretical research with practical applications, often through collaborations with industry partners. She has established herself as a thought leader in how digital technologies are reshaping the controller role from traditional accounting functions toward strategic business partnership. Her recent publications reveal a clear trajectory from foundational research on digital controlling frameworks toward more specific applications in sustainability, agile methodologies, and educational technology. The articles show increasing focus on practical implementation challenges, with notable attention to sustainable business practices and the evolving role of controllers in complex organizational environments. Her work consistently emphasizes the human dimension of digital transformation - how skills, mindsets, and organizational culture must evolve alongside technological changes. Scientific awards and recognitions include: Publication Award 2021 in the "Teaching" category for "PLAYMOBIL pro im Controlling: Mit Plastikfiguren das zukünftige Controlling-Rollenprofil gestalten" Financial Risk Manager (FRM) certification from GARP Prof. Keimer has been actively involved in advising and research projects. She served as Program Director for the MSc International Financial Management program and has led several significant research initiatives including the Innosuisse Project "Digital Transformation in Controlling" (2017) and the "Business Analytics in Controlling" project (2019). Her grant portfolio demonstrates strong industry-academia collaboration, with projects often co-developed with financial institutions and corporate partners seeking to modernize their controlling functions. She has also been instrumental in developing continuing education programs that bridge academic research with professional practice. She is closely associated with the Institute for Financial Services Zug (IFZ), where she contributes to research and teaching in the CC Controlling division. Her work often involves cross-disciplinary collaboration, particularly with colleagues in information systems and organizational behavior. She has developed a distinctive approach to teaching and research that combines academic rigor with practical applicability, frequently using case studies and industry partnerships to ground theoretical concepts in real-world challenges.

Terence Chi-Shen TaoView profile

Professor

• Harmonic analysis
• Partial differential equations
• Algebraic combinatorics
• +5 more

Terence Tao is an Australian-American mathematician and professor of mathematics at the University of California, Los Angeles (UCLA), where he holds the James and Carol Collins Chair in the College of Letters and Sciences. Widely regarded as one of the greatest living mathematicians, Tao has received numerous prestigious awards including the Fields Medal, the Breakthrough Prize in Mathematics, and the MacArthur Fellowship. Dr. Tao's educational background includes: Bachelor's and Master's degrees from Flinders University (1991) Ph.D. from Princeton University (1996) under Elias M. Stein Tao's research spans an extraordinary breadth of mathematical fields. He is particularly known for his work in harmonic analysis, partial differential equations, combinatorics, and analytic number theory. His research has included groundbreaking contributions to compressed sensing, the Green-Tao theorem on arithmetic progressions in prime numbers, and progress on the Navier-Stokes equations. Tao is renowned for his collaborative approach, having worked with over 60 co-authors throughout his career. Tao's publications demonstrate remarkable diversity across mathematical disciplines. His work shows strong trends in connecting seemingly disparate areas of mathematics, often bringing techniques from one field to solve problems in another. He has made significant contributions to both theoretical and applied mathematics, with applications ranging from signal processing to number theory. Among his numerous scientific achievements, Tao has received: Fields Medal (2006) Breakthrough Prize in Mathematics (2014) Royal Medal (2014) MacArthur Fellowship (2006) Crafoord Prize (2012) Princess of Asturias Award (2020) Tao has mentored numerous students throughout his career, with Monica Vișan among his doctoral students. He has secured significant research funding through prestigious awards including the Packard Fellowship, Sloan Fellowship, and Simons Investigator award. His collaborative research has been supported by multiple National Science Foundation grants. Tao maintains an active research group at UCLA and frequently collaborates with mathematicians worldwide. His blog and public lectures have made advanced mathematical concepts accessible to broader audiences, demonstrating his commitment to mathematical education and outreach.

Joachim NitschkeView profile

Research Fellow

• Human-Computer Interaction
• Tangible User Interfaces
• Data Visualization
• +3 more

Joachim Nitschke serves as a Research Fellow at the University of Hamburg within the Faculty of Mathematics, Informatics and Natural Sciences (MIN), specifically in the Department of Informatics' Human-Computer Interaction research group. His work bridges academic research with practical applications in critical infrastructure through the XR Lab and iPlanB project. Education: Master's degree in Computer Science and Communication Design from University of Hamburg and Hamburg University of Applied Sciences (2014) His research focuses on transformative Human-Computer Interaction domains: Tangible User Interfaces merging physical objects with digital functionality for maritime operations Cooperative Multitouch Systems enabling collaborative planning on shared tabletop surfaces Data Visualization techniques for complex port traffic and construction planning User-Centered Design methodologies applied to nautical environments Publication analysis (2014-2018) reveals consistent specialization in maritime HCI applications, particularly the development of the 'Peiltisch' digital planning table for Hamburg Port Authority. His work demonstrates iterative refinement of tangible interfaces for ship traffic management, emphasizing real-world usability in high-stakes operational environments like port control centers. Nitschke actively contributes to the iPlanB project developing multitouch applications for construction planning, collaborating with industry partners including Hamburg Port Authority under the smartPORT initiative. While no formal student advising is documented, his role involves mentoring within research teams. As a core member of the XR Lab, he advances extended reality applications for infrastructure planning, with current work focusing on integrating physical and digital elements for construction site management.

Matthias LöweView profile

Professor

• Probability Theory
• Statistical Physics
• Random Matrix Theory
• +3 more

Matthias Löwe is a Professor at the Institute of Stochastics within the Faculty of Mathematics and Computer Science at the University of Münster. His academic career spans several decades with continuous contributions to probability theory and statistical physics. His research focuses on deep theoretical investigations of complex stochastic systems, particularly in the context of disordered systems and random structures. Löwe's research interests center on Probability Theory , Statistical Physics , and Random Matrix Theory . His work examines phase transitions in spin systems, fluctuation phenomena in random graphs, and the mathematical foundations of neural network models. His research program consistently bridges theoretical probability with applications in statistical physics, particularly in understanding the behavior of complex interacting particle systems at critical points. His publication record shows consistent output in top probability journals including Annals of Probability , Electronic Journal of Probability , and Annales de l'Institut Henri Poincaré . His most recent work (2020-2023) focuses on propagation of chaos in mean-field models, fluctuations in Ising models on random graphs, and exact recovery problems in block spin systems. Löwe frequently collaborates with researchers including Zakhar Kabluchko, Kristina Schubert, and Jonas Jalowy. Löwe has supervised multiple doctoral students including Raphael Meiners, Mirko Ebbers, Jens Ameskamp, and Sarah Behrens. His research group has included postdoctoral researchers and doctoral candidates working on various aspects of probability theory and its applications.