جست‌وجوی استاد و پژوهشگر

Martin Krulišمشاهده پروفایل

دانشیار

• Parallel Computing
• GPU Programming
• Self-adaptive Systems
• +۵ مورد دیگر

Martin Kruliš serves as an Associate Professor in the Department of Distributed and Dependable Systems (D3S) at Charles University's Faculty of Mathematics and Physics in Prague, Czech Republic. His academic work focuses on the intersection of parallel computing, GPU programming, and self-adaptive systems, with significant contributions to both theoretical frameworks and practical implementations in high-performance computing environments. Dr. Kruliš's research interests center on optimizing computational systems through innovative approaches to parallelism and adaptability. His work demonstrates particular expertise in GPU-accelerated algorithms, self-optimizing architectures, and the integration of machine learning techniques into system design. He has developed substantial expertise in creating abstractions that simplify complex parallel programming tasks while maintaining high performance. His publication record reveals a clear trajectory from foundational work in parallel algorithms and GPU programming toward increasingly sophisticated integration of machine learning with self-adaptive systems. Recent work shows a strong emphasis on applying machine learning to optimize parallel computing environments, particularly through novel abstractions that make these techniques accessible to developers. As an educator, Dr. Kruliš teaches Programming in Parallel Environment (NPRG042) and Advanced Programming in Parallel Environment (NPRG058), demonstrating his commitment to training the next generation of parallel computing specialists. He has also contributed to the ReCodEx project, an automated system for evaluating coding assignments that has been used for over five years at his institution. Dr. Kruliš actively participates in the academic community through conference service, having served on committees for ECOOP 2022 and other major computer science conferences. His work with the D3S research group reflects a collaborative approach to tackling complex problems in distributed and dependable systems.

Florian Röselمشاهده پروفایل

پژوهشگر

• Optimization under Uncertainty
• Data Science
• Operations Research
• +۴ مورد دیگر

Dr. Florian Rösel is a researcher affiliated with the Department of Data Science at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). He works under the Professorship of Optimization under Uncertainty & Data Analysis led by Prof. Dr. Frauke Liers, focusing on data-driven optimization techniques and their applications in aviation logistics and complex system modeling.

Bernd Kaltenhäuserمشاهده پروفایل

استاد

• System Dynamics
• Blockchain in Transportation
• Autonomous Vehicles
• +۷ مورد دیگر

Prof. Dr. Bernd Kaltenhäuser has been Professor of Technical Fundamentals at the Baden-Württemberg Cooperative State University (DHBW) Villingen-Schwenningen since 2014. Affiliated with the Faculty of Economics, he teaches a spectrum of courses spanning project management, quality and process management, financial mathematics, technical mechanics, electrical engineering basics, and physical principles. Education 1994-2003: Studies in Physics at Heidelberg, Ulm and Stuttgart Universities 2003-2007: Doctorate in Natural Sciences (Dr. rer. nat.), University of Stuttgart 2009-2014: M.Sc. in Economics, Fernuniversität Hagen Research Focus Prof. Kaltenhäuser’s research integrates system dynamics, blockchain technology in transportation, predictive modelling for autonomous vehicles, and empirical methods from applied social research and marketing. His interdisciplinary approach leverages physics, economics, and data science to address mobility challenges. He is particularly active in developing algorithms for fleet routing, ride-hailing optimisation, and evaluating market readiness for autonomous driving in Germany. Scientific Awards Artur Fischer Inventor Prize 2009 Heinrich Düker Prize 2004, Robert Bosch Foundation for Education and the Promotion of Disabled People Patents & Impact He holds two patents in flat-structure bioreactor design, demonstrating his earlier engagement with biofuel production technologies. His 2020 and 2018 market studies on autonomous driving provide key data for German transport policy stakeholders.

Wolfgang Brüggemannمشاهده پروفایل

استاد

• Operations Research
• Logistics
• Supply Chain Management
• +۳ مورد دیگر

Prof. Dr. Wolfgang Brüggemann serves as a Professor in the Department of Operations Research at the University of Hamburg Business School. His office is located at Moorweidenstraße 18, Room 4005, Hamburg, with contact details including phone (+49 40 42838 6410) and fax (+49 40 42838 6440). He maintains active teaching responsibilities across semesters including Winter 2025/26 and Summer 2025. His research concentrates on industrial logistics optimization, specifically: Automotive assembly line sequencing systems Container storage block management (RMGC systems) Assignment problem algorithms for operational efficiency Prof. Brüggemann leads the Assignment Problem research team comprising Christine Quentin, Laura Flinkert, and Lorenz Saathoff, while also contributing to the OSCM Publication Series. His work bridges theoretical operations research with practical automotive and container terminal applications. Office hours during lecture-free periods require prior registration through the department secretariat.

Laura Flinkertمشاهده پروفایل

پژوهشگر

• Operations Research
• Logistics
• Supply Chain Management
• +۳ مورد دیگر

Laura Flinkert is a researcher at the University of Hamburg Business School, where she is part of the Operations Research team led by Prof. Dr. Wolfgang Brüggemann. Her institutional affiliation includes Room 4001 at Moorweidenstraße 18, 20148 Hamburg, with contact details: phone +49 40 42838 6412, fax +49 40 42838 6440, and email laura.flinkert@uni-hamburg.de. Consultation hours are available by appointment. Her research concentrates on applied Operations Research with emphasis on logistical optimization in industrial contexts. Key focus areas include port terminal operations (evidenced by HafenplanZEN project involvement), container logistics (RMGC Container Lagerblock), sequencing algorithms for automotive assembly lines, and educational resource allocation through the Students Assignment Problem. She contributes to the OSCM publication series, demonstrating expertise in translating theoretical models to practical supply chain solutions. The research group actively engages in industry-relevant projects addressing real-world transportation and manufacturing challenges, with ongoing collaborations across automotive and maritime logistics sectors. Current work emphasizes buffer sequencing optimization and container terminal management systems.

Abtin Nourmohammadzadehمشاهده پروفایل

پژوهشگر

• Mathematical Modelling
• Exact, Heuristic and Meta-Heuristic Optimization
• Operations Research
• +۶ مورد دیگر

Dr. Abtin Nourmohammadzadeh is a scientific assistant (Researcher) at the Institute for Business Information Systems, University of Hamburg Business School, since July 2019. He previously served as a doctoral researcher at Clausthal University of Technology (2014-2019) and holds a PhD in Informatics. Current Role: Researcher at University of Hamburg Education: Master's and Bachelor's in Industrial Engineering Research Focus: Optimization techniques, transportation logistics, and machine learning His research integrates meta-heuristic optimization (e.g., genetic algorithms, particle swarm optimization) with transportation problems (truck platooning, container terminals) and machine learning (ANNs, SVMs) for industrial fault diagnosis. Publications demonstrate applications of mathematical programming , swarm intelligence , and hybrid algorithms to logistics and engineering challenges. Recent work emphasizes fuel-efficient vehicle coordination , noise-resilient diagnostic systems , and port operations optimization . No specific scientific awards are mentioned in the provided text.

• Quantum Algorithms for Optimization Problems
• Quantum Software-Hardware Co-Design
• Quantum Error Correction
• +۲ مورد دیگر

Lilly Palackal is a Researcher and External PhD candidate at the Technical University of Munich (TUM) School of CIT, affiliated with the Department of Computer Science. She collaborates closely with Infineon Technologies AG on quantum computing research. Her work focuses on quantum algorithms for optimization problems, co-design of quantum software/hardware, and quantum error correction/mitigation. Education: BSc (2018) and MSc (2021) in Mathematics from TUM, with thesis topics in quantum error correction and interactive quantum communication. Current PhD research bridges academic and industrial quantum computing challenges. Research interests include developing quantum solutions for logistics (e.g., vehicle routing), optimization (e.g., knapsack problems), and hardware-aware algorithm design. She supervises multiple student projects across mathematics, physics, and engineering disciplines at TUM and partner institutions. Recent publications explore hybrid quantum-classical methods, QAOA applications, and efficient algorithm encodings for quantum systems. Her work emphasizes practical implementations of quantum technologies in real-world scenarios.

Aysel Ramazanovaمشاهده پروفایل

پژوهشگر

• Partial Differential Equations
• Inverse Problems
• Optimal Control Theory
• +۵ مورد دیگر

Dr. Aysel Ramazanova is a researcher at the University of Duisburg-Essen, Germany, working within the Faculty of Mathematics as part of Prof. Dr. Arnd Rösch's Nonlinear Optimization Group. Originally from Azerbaijan, she holds a Ph.D. from Baku State University and has established herself as a specialist in mathematical physics and differential equations. Her research focuses on inverse problems and optimal control theory with applications to mechanical systems. Educational Background: B.Sc. (2005-2009): Baku State University M.Sc. (2009-2011): Baku State University Ph.D. (2012-2017): Baku State University Dr. Ramazanova's research centers on equations of mathematical physics , particularly direct and inverse problems for partial differential equations and optimal control in processes described by ordinary and partial differential equations . Her work has significant applications in vibration analysis of mechanical systems, especially concerning flexural-torsional oscillations of bars and rods. She has extended her research to fractional calculus and fractal systems in recent years, demonstrating the evolution of her expertise toward more complex mathematical frameworks. Analysis of her publication record reveals a consistent focus on inverse problems related to vibration equations, with a clear progression from classical PDEs to fractional-order equations and fractal systems. Her work shows strong interdisciplinary connections between pure mathematics, mechanical engineering, and mathematical physics, with particular emphasis on the mathematical modeling of physical phenomena in elastic structures. Dr. Ramazanova actively contributes to academic education through teaching courses on nonlinear optimization, numerical analysis of optimal control problems, and inverse problems. Her teaching assignments at the University of Duisburg-Essen include organizing exercise sessions that complement theoretical lectures with practical computational approaches. As a member of the Nonlinear Optimization research group, she collaborates with colleagues including Prof. Dr. Arnd Rösch, Felix Beer, M.Sc., Niklas Windhuis, M.Sc., and Nicole Obszanski. Her research has been presented at numerous international conferences across Europe and Azerbaijan, reflecting her active participation in the global mathematical community.

Michael Kallweitمشاهده پروفایل

مدرس

• Mathematics Education
• Digital Didactics
• Educational Technology
• +۳ مورد دیگر

Dr. Michael Kallweit serves as a Lehrkraft für besondere Aufgaben (Lecturer for Special Tasks) at the Faculty of Mathematics , Ruhr University Bochum. His work focuses on innovations in digital higher education, particularly in mathematics didactics . He leads the Rolka Group team and contributes to the Floer Center of Geometry . His research emphasizes digital mathematics tasks (e.g., STACK platform), AI integration in teaching, and collaborative projects like the DOMAIN database for math assignments. Key projects include: STACK.nrw : Collaborative task database for STACK exercises Computational Thinking makes sense of Mathematics (Erasmus+) DiAM:INT : Digital tasks for STEM fields (OERContent.nrw) He holds a 2017 Fellowship for Innovations in Digital Higher Education for the DOMAIN project , which created an open platform for sharing digital math assignments. His teaching includes supporting first-year students and developing RUBChecks for diagnostic testing. He also leads initiatives like MathePlus to prevent study dropouts through structured support. Notable contributions include: Adaptive learning systems using AI and STACK Open educational resources (OER) for stochastic and engineering mathematics International collaborations via Erasmus+ projects His work bridges educational technology and mathematics pedagogy , emphasizing practical applications in university and school settings.

• Metaethics
• Normative Ethics
• Political Philosophy
• +۵ مورد دیگر

Christine Tiefensee is a Professor of Philosophy at the Frankfurt School of Finance & Management, Germany. Her academic journey includes studies in philosophy and political science at the universities of Mannheim, Mainz, and Nottingham, followed by advanced degrees at the University of Cambridge (M.Phil. and Ph.D. in 2011). Her research focuses on metaethical questions surrounding normativity , integrating these with debates in philosophy of language and social science. Key areas include moral realism, error theory, and inferentialist approaches to ethics. She has held significant roles, including Vice President of the Society for Analytic Philosophy (2016-2022), and has received the Frankfurt School Teaching Award (2018). Recent publications explore semantic challenges to moral error theory, the relationship between moral doctrines and expressivism, and the implications of relaxed realism. Her work bridges abstract metaethical debate with practical concerns in political philosophy and collective responsibility. Scientific Awards: Frankfurt School Teaching Award (2018)

Christian Seidelمشاهده پروفایل

استاد

• Moral Philosophy
• Climate Ethics
• Intergenerational Justice
• +۶ مورد دیگر

Christian Seidel is a Professor of Philosophical Anthropology at the Karlsruhe Institute of Technology (KIT), where he serves as co-head of the Computational Philosophy, Philosophical Methods, Moral Philosophy & Applied Ethics (CompPhil²MMAE) research group alongside Gregor Betz. His work spans multiple philosophical disciplines with a focus on moral theory and its contemporary applications. Seidel's educational background includes studies in philosophy, logic & philosophy of science, psychology, mathematics and economics at universities in Munich, Bologna, Berlin and London, culminating in a PhD in philosophy from the University of Bern. He has held postdoctoral positions in Zurich, Erlangen and Münster before joining KIT. His research interests form a cohesive network centered on moral philosophy, with particular emphasis on climate ethics, intergenerational justice, risk ethics, autonomy, and morality in public discourse. Seidel specializes in 19th-century British moral and social philosophy, drawing inspiration from figures like John Stuart Mill, Harriet Taylor Mill, Henry Sidgwick and Derek Parfit. His recent publications demonstrate an increasing focus on moralism as a philosophical phenomenon alongside continued work on climate ethics and utilitarian theory. Analysis of his 15 most recent publications reveals a strong trajectory connecting historical philosophical analysis with contemporary ethical challenges. Roughly half address climate ethics and intergenerational justice, while the remainder focus on moral theory, autonomy, and conceptual analyses of moral phenomena like moralism. His work consistently bridges historical scholarship with practical ethical application. Seidel actively supervises doctoral candidates, with recent completions including Konstantin Weber's dissertation on "Assigning Existence. Creating Persons without Reasons" and Dorothee Bleisch's work on "Must Moral Theories Tell Us What to Do?" He leads significant research projects including the DFG-funded "The Ethics of State Mass Surveillance" and participates in the "Methods of Practical Ethics" network, demonstrating substantial grant acquisition capability. As head of CompPhil²MMAE, Seidel directs a research group engaged in computational approaches to philosophical problems. His leadership extends to professional service including chairing sections at the Society for Analytic Philosophy congress and the German Congress of Philosophy. The research group maintains an active publication record and regularly recruits doctoral and postdoctoral researchers, indicating a thriving academic environment under his direction.

• Combinatorial Optimization
• Quadratic Programming
• Binary Optimization
• +۵ مورد دیگر

Cédric Elloumi is a Professor at the CEDRIC Laboratory within Conservatoire National des Arts et Métiers (CNAM), specializing in combinatorial optimization and mathematical programming. With a continuous publication record since 1992, he has established himself as a leading researcher in quadratic programming, binary optimization, and facility location problems. His research interests focus on developing exact and approximate methods for discrete optimization problems, particularly through convex reformulation techniques. Elloumi has made significant contributions to the p-center and p-median problems, quadratic assignment problems, and more recently, quantum-inspired optimization methods. His work bridges theoretical advancements with practical applications in network design, energy systems, and telecommunications. Analysis of his recent publications (2022-2025) reveals a continued focus on facility location problems, with increasing attention to robust optimization under uncertainty and emerging applications in quantum computing. His research demonstrates consistent methodological innovation, particularly in reformulation techniques that transform difficult non-convex problems into tractable forms. Throughout his career, Elloumi has maintained extensive collaborations with researchers including Billionnet, Lambert, Alès, and Plateau, resulting in numerous publications in top-tier optimization journals such as Journal of Global Optimization, Computers and Operations Research, and Mathematical Programming.

Michael Karowمشاهده پروفایل

پژوهشگر

• Numerical Linear Algebra
• Control Theory
• Matrix Analysis
• +۶ مورد دیگر

Michael Karow is a Researcher at the Institute of Mathematics , Technical University of Berlin , affiliated with the Faculty II - Mathematics and Natural Sciences . His research focuses on Numerical Linear Algebra , Control Theory , and Matrix Perturbation , with specific interests in Pseudospectra , Stability Radii , and Structured Eigenvalue Problems . Educational background includes a Ph.D. (2003) from the University of Bremen, titled " Geometry of Spectral Value Sets ," and a Habilitation (2009) at TU Berlin. His work spans collaborations with institutions like IIT Guwahati, EPFL Lausanne, and SUNY Utica. His research involves stabilizing discrete-time linear systems via matrix factorizations, structured matrix pencils with no spillover effects, and backward error analysis for palindromic polynomials. Publications highlight applications in finite element model updating , eigenvalue sensitivity , and geometric matrix theory . Teaching includes courses like Numerical Mathematics 1 for Engineering , Differential Equations and Numerics , and Calculus of Variations . He has led workshops in India, Italy, and the U.S., focusing on numerical methods and control theory.

Christian Stummerمشاهده پروفایل

استاد

• Business Administration
• Innovation Management
• Technology Management
• +۳ مورد دیگر

Professor Christian Stummer is a Chair Holder in the Faculty of Economics and Business Administration at Bielefeld University, Germany. His academic career spans over two decades with a consistent focus on innovation and technology management. As an active faculty member, he contributes significantly to the university's research profile, particularly in the area of Economic Implications of Smart Products and Smart Systems through the Institute for Technological Innovation, Market Development and Entrepreneurship (iTIME). Position: Chair Holder in Economics and Business Administration Research Focus: Innovation and Technology Management Key Collaborators: M. Günther, E. Kiesling, W.J. Gutjahr Academic Network: Active contributor to Computational Economics research focus Professor Stummer's research interests center on business administration with a specialized focus on innovation management and technology management. His work bridges theoretical frameworks with practical applications in R&D investment planning and market launch of innovations. His research approach is characterized by an analytical-quantitative methodology that aligns with the faculty's overall research profile. Stummer has made significant contributions to the understanding of multi-criteria decision problems in innovation contexts, particularly through the development of decision support systems that help organizations navigate complex innovation management challenges. His publication record reveals a clear trajectory of research evolution from foundational work in R&D project selection in the late 1990s to sophisticated agent-based simulation approaches for innovation diffusion in recent years. The publications demonstrate a consistent focus on decision support methodologies applied to innovation management problems, with increasing sophistication in modeling approaches over time. His work frequently addresses the challenge of balancing multiple objectives in innovation management decisions, reflecting the complexity of real-world business environments. Most Innovative Paper Award: IEEE EDUCON 2010 for game-based learning in technology management education Best Applied Paper Award: Winter Simulation Conference for agent-based simulation of biofuel market diffusion Nomination: Best Paper Award at ECMS 2010 conference Professor Stummer's research has practical applications across various industry sectors, particularly in technology-intensive industries where innovation management is critical. His work on multi-channel management and disruptive technology strategy provides valuable frameworks for businesses navigating digital transformation. Through his involvement with the Bielefeld Graduate School of Economics and Management (BiGSEM), he contributes to training the next generation of researchers in quantitative economic approaches. His decision support methodologies have potential applications in both public policy contexts (particularly regarding sustainable technology adoption) and private sector innovation management.

Coen De Rooverمشاهده پروفایل

استاد

• static analysis
• dynamic analysis
• mining software repositories
• +۷ مورد دیگر

Coen De Roover is a Professor at the Vrije Universiteit Brussel (VUB) since October 2015, affiliated with the Software Languages Lab (SOFT) where he leads the Code Analysis and ManiPulation (CAMP) subgroup. He serves as programme director for the bachelor's program in Computer Science since the 2019-2020 academic year. His research focuses on the design of program analyses and their application to software quality problems , with particular expertise in static and dynamic analysis techniques. Key research areas include: Soft verification of contracts and incremental abstract interpretation Fine-grained change analysis of individual commits Mining for change patterns across multiple commits Vulnerability detection in infrastructure code (particularly Ansible) Concolic testing and resilience analysis Recent publication trends show increasing focus on infrastructure as code security, WebAssembly analysis, and modular abstract interpretation frameworks. His work bridges theoretical program analysis with practical software engineering applications, often validated through empirical studies on open-source projects. As an active contributor to the software engineering community, he has served on program committees for major conferences including ASE, ECOOP, ICSE, and SPLASH. His leadership roles include steering committee positions for GPCE and SANER, and program co-chair roles for International Conference on Program Comprehension. De Roover directs the CAMP research subgroup which has published over 120 peer-reviewed articles. The group develops practical analysis tools while advancing theoretical foundations of program analysis, with recent work focusing on infrastructure code security and WebAssembly analysis.