Find Academic Supervisors

• Computational Optimization
• Mathematical Optimization
• Numerical Analysis
• +4 more

Alberto De Marchi is a Research Associate at the Institute of Applied Mathematics and Scientific Computing at Universität der Bundeswehr München (UniBw M) in Germany. He holds a doctoral degree (Dr.rer.nat.) in Applied Mathematics from UniBw M (2021), an M.Sc. in Mechatronics Engineering (2016), and a B.Sc. in Industrial Engineering (2014) from the University of Trento (UniTn) in Italy. In Fall 2022, he was a Visiting Research Associate with Ryan Loxton at Curtin University, Australia. Education Dr.rer.nat., Applied Mathematics, UniBw M (2021) M.Sc., Mechatronics Engineering, UniTn (2016) B.Sc., Industrial Engineering, UniTn (2014) His research spans computational optimization, mathematical modeling, numerical analysis, and control systems, with a focus on developing robust numerical optimization tools. Recent work includes applications in IoT digital twins, blockchain-based anonymity frameworks, and hybrid optimal control methods. His 2025–2023 publications emphasize nonlinear and mixed-integer optimization techniques, constrained composite optimization, and advanced algorithms for control systems. These works explore topics like augmented Lagrangian methods, proximal gradient approaches, collision avoidance, and blockchain ethics. Scientific Awards COAP 2022 Best Paper Prize Alberto collaborates internationally and is intellectually curious about interdisciplinary topics, including the philosophy of mind and literature.

Paul WentgesView profile

Professor

• Management Control Systems
• Value-oriented Controlling
• Performance Management
• +4 more

Prof. Paul Wentges is a Professor and Director of the Institut für Controlling at the University of Ulm's Faculty of Mathematics and Economics. He holds a Diplom in Wirtschaftsmathematik from Ulm University (1991), an M.Sc. in Mathematics from Syracuse University (1988), and a Dr. oec. from the University of St. Gallen (1994). His career includes roles as a researcher at the University of St. Gallen, financial consultant at Westdeutsche Landesbank, and academic leadership positions at the University of Ulm and University of Vienna. His research focuses on Management Control Systems, Performance Management, Family Businesses, and Corporate Governance. Notable contributions include work on organizational social capital's impact on control systems and stakeholder theory applications in corporate finance. He has served as Dean of the Faculty of Mathematics and Economics (2011–2013) and holds leadership roles in academic associations like the European Accounting Association. Education: 1984–1991: Diplom in Wirtschaftsmathematik (Ulm University) 1987–1988: M.Sc. Mathematics (Syracuse University) 1991–1994: Dr. oec. (St. Gallen University) 1996–2002: Habilitation (Ulm University) Awards: Amicitia-Preis (1994) SVOR/ASRO Prize (1997) Key Research Themes: Strategic performance measurement Risk management in corporate finance Family business governance Stakeholder-oriented corporate control His publications span management accounting, operations research, and corporate governance, with a focus on bridging theoretical concepts with practical managerial challenges. He actively contributes to academic communities through editorial roles and association memberships.

Winnifried WollnerView profile

Professor

• Optimization
• Applied Mathematics
• PDE-Constrained Optimization
• +7 more

Prof. Dr. Winnifried Wollner is a Professor of Optimization at the University of Hamburg's Department of Mathematics, within the Faculty of Mathematics, Computer Science and Natural Sciences. His research focuses on optimization with partial differential equations (PDEs), numerical methods for PDEs, and computational mechanics, particularly in the context of shape optimization and fracture mechanics. He holds a PhD from Heidelberg University (2010) and has held academic positions at TU Darmstadt and the University of Hamburg. He is actively involved in editorial boards of journals like the SIAM Journal on Control and Optimization and the OPTPDE Problem Collection. His work emphasizes adaptive numerical methods, phase-field fracture modeling, and optimization under constraints. Awards include the 2014 Teacher of the Summer Term award at Hamburg. He teaches courses on optimization, numerical methods, and PDE-constrained problems, and leads research projects funded by DFG and the Excellence Cluster CLICCS. Professional roles include membership in the MIN Faculty Council, the Department's Equal Opportunities Team, and leadership of the GAMM Student Chapter. His research spans interdisciplinary applications in engineering and computational science, with over 66 publications in top journals. Current projects include the DFG Research Training Group 2583 on fluid dynamics and optimization, and the SPP 1962 project on phase-field fracture simulation.

Philipp WarodeView profile

Researcher

• Operations Research
• Optimization Algorithms
• Network Flows
• +3 more

Dr. Philipp Warode is a researcher in the AI in Economics department at the Faculty of Economics , Humboldt University of Berlin. His primary role involves research and teaching in mathematical economics and optimization. He currently leads the Unsplittable Flows project (2025-2028) as a Principal Investigator (PI) alongside Martin Skutella. Teaching focuses on mathematics for economics students, including: Lecture Mathematics I/II series since 2020 Preparatory mathematics courses for bachelor/master students Operations Research fundamentals Research interests center on optimization algorithms , network flows , and algorithmic game theory , with notable contributions to scheduling algorithms, combinatorial optimization, and equilibrium computation in congestion games. Notable projects include collaborations on Homotopy Methods for Dynamic Flows (2022) and Flow Preserving Graph Contractions (2020-2021). His work is published in top venues such as SIAM Journal on Computing and Mathematical Programming Series B .

Karl BringmannView profile

Professor

• Theoretical Computer Science
• Fine-Grained Complexity
• Algorithm Design
• +5 more

Karl Bringmann is a Professor at Saarland University since November 2019 and is affiliated with the Max Planck Institute for Informatics, where he works in the Department of Algorithms and Complexity. He has established himself as a leading researcher in theoretical computer science, particularly in fine-grained complexity and algorithm design. His work bridges theoretical insights with practical applications in optimization problems. Bringmann's research focuses on conditional lower bounds (often based on the Strong Exponential Time Hypothesis) and algorithm design, with particular emphasis on optimization problems, string algorithms, and computational geometry. His work has significant implications for fundamental problems like Subset Sum, Knapsack, and Integer Programming, with applications ranging from scheduling to post-quantum cryptography. He develops innovative approaches combining modern algorithmic techniques, mathematical structure theory, and fine-grained complexity to design faster algorithms and establish optimality. His publication record shows a consistent trend toward developing near-optimal algorithms for fundamental problems, with significant contributions to fine-grained complexity theory. His work often establishes tight conditional lower bounds while simultaneously providing matching upper bounds, creating a comprehensive understanding of problem complexity. He has made notable advances in string algorithms (particularly edit distance), geometric problems, and optimization. ERC Starting Grant 2019: Technology Transfer between Integer Programming and Efficient Algorithms (TIPEA) EATCS Presburger Award for Young Scientists 2019 Heinz Maier-Leibnitz-Prize 2019 EATCS Distinguished Dissertation Award 2015 Google European Doctoral Fellowship 2012-2014 Bringmann leads the ERC-funded TIPEA project (2019-2024), which investigates fundamental optimization problems with the goal of developing next-generation industrial solvers. He advises several PhD students including Nick Fischer, Alejandro Cassis, and Vasileios Nakos, and has served on numerous program committees for top theoretical computer science conferences including STOC, FOCS, SODA, and ICALP. His teaching includes advanced courses on Fine-Grained Complexity Theory and Competitive Programming.

Giulia CodenottiView profile

Professor

• Discrete Geometry
• Combinatorial Geometry
• Convex Geometry
• +6 more

Prof. Giulia Codenotti is a Junior Professor in the Discrete Geometry and Topological Combinatorics Group at the Institute of Mathematics, Freie Universität Berlin. Her research focuses on lattice polytopes, convex geometry, and simplicial complexes, with an emphasis on unimodular covers, triangulations, and algebraic-topological invariants. She holds an office at Arnimallee 2, Room 105/103, and can be reached at giulia.codenotti@fu-berlin.de. Her academic roles include teaching courses like "Discrete Geometry 1" and supervising research in combinatorial and convex geometry. Prior to her position at FU Berlin, she taught at Goethe University Frankfurt, leading seminars and exercise sessions in discrete mathematics and geometric optimization. Research Interests: Discrete and combinatorial geometry Lattice polytopes and their subdivisions Triangulations and unimodular covers Algebraic and topological invariants of simplicial complexes Covering minima and convex body geometry Outreach Activities: Soapbox Science Berlin (2019) - Public engagement on higher-dimensional geometry Girls' Day initiatives for promoting STEM among schoolgirls Co-creator of Polytopia, a project showcasing polyhedrons to the public Teaching Philosophy: Emphasizes foundational concepts in discrete geometry through problem-solving, with active participation in exercise sessions and rigorous assessment criteria including coursework and exams.

Christian HaaseView profile

Professor

• Lattice Polytopes
• Toric Algebra
• Tropical Geometry
• +3 more

Prof. Dr. Christian Haase is a Professor at the Department of Mathematics within the School of Mathematics and Computer Science at Freie Universität Berlin. He leads the Discrete Algebraic Geometry & Math for Teaching Post workgroup. His research focuses on lattice polytopes, toric algebra, tropical geometry, combinatorial commutative algebra, algorithmic algebra, and geometric/topological combinatorics. He has held a permanent academic position since at least 2008, as evidenced by his extensive publication record from that period onward. His work includes collaborations on foundational topics like Ehrhart theory, integer decomposition properties, and convex polytope decompositions. His research contributions span theoretical advances in algebraic geometry and discrete mathematics, with applications to computational algebra and geometric combinatorics. Notable works include studies on the finiteness threshold width of lattice polytopes and the exploration of Gaussian mixture models' mode counts. He maintains an active role in mentoring PhD students and postdoctoral researchers in his workgroup, though specific advisee names are not listed here. His research has been published in top journals such as Advances in Mathematics, Mathematische Zeitschrift, and the Annals of Combinatorics. Haase's academic activities include organizing research projects and conferences, and he serves as a key contributor to the mathematical community through his editorial work and collaborative research initiatives.

Volker KaibelView profile

Professor

• Discrete Optimization
• Polyhedral Combinatorics
• Extended Formulations
• +5 more

Prof. Dr. Volker Kaibel is a full-time Professor for Mathematical Optimization at Otto-von-Guericke Universität Magdeburg since 2007. His research focuses on Discrete Optimization , Polyhedral Combinatorics , and Extended Formulations , with applications in combinatorial optimization , quantum computing , and genomic epidemiology . His recent work includes studies on Polytope Extensions with Linear Diameters , Steiner Cut Dominants , and Scale-Free Spanning Trees . Publications span journals like SIAM Journal on Discrete Mathematics , Mathematics of Operations Research , and Journal of Computational Biology , emphasizing theoretical advancements in mathematical programming and polyhedral theory . Key projects include the long-running Mathematical Complexity Reduction (2017–2026) and earlier DFG-funded initiatives on Extended Formulations and Orbitopes . His collaborations extend to institutions like the Zuse-Institute Berlin and DFG Research Center MATHEON .

Florian FrohnView profile

Lecturer

• Program Verification
• Termination Analysis
• Complexity Analysis
• +11 more

Florian Frohn is a tenured lecturer ("Lehrkraft für besondere Aufgaben") in the Programming Languages and Verification research group at the Department of Computer Science, RWTH Aachen University. He holds a Dr. rer. nat. (2018), MSc (2013), and BSc (2011) in Computer Science, all from German institutions, with his bachelor's studies completed part-time. His research interests center on formal methods for software verification, including automated termination and complexity analysis of imperative programs, satisfiability of Constrained Horn Clauses (CHCs), SMT solving with integer exponentiation, loop acceleration, term rewriting systems, and abstract interpretation. He is a key contributor to several influential tools: LoAT (Loop Acceleration Tool), AProVE (Automated Program Verification Environment), and SwInE; he also worked on Astrée and the CAGE toolchain developed under the DARPA STAC program. His recent publications (2023–2024) demonstrate continued leadership in top venues such as FM, IJCAR, FoSSaCS, and SAS, with work advancing loop acceleration, non-termination proofs, and SMT solving. These contributions reflect a strong trend in developing practical, automated techniques for program verification and analysis. IJCAR Best paper honourable mention (2024) EASST Award for best ETAPS paper (2020) iFM Best Tool Paper Award (2017) ISR Best Poster Award (2017) SEFM Recognition Award (2016) CADE Woody Bledsoe Travel Award (2016) Florian Frohn actively contributes to the research community through program committee roles for major workshops and conferences including TACAS, HCVS, WST, SMT, and LPAR. He has advised no listed students but has been involved in mentoring through research collaborations. His teaching portfolio includes courses on verification techniques, satisfiability checking, and advanced programming concepts. He leads the Termination and Complexity Competition (termCOMP) and participates in organizing key events in the formal methods community.

Andy SchürrView profile

Professor

• Model-based Software Engineering
• Embedded Systems
• Software Modeling Languages
• +7 more

Andy Schürr is a Full Professor at the Institute for Data Technology within the Department of Electrical Engineering and Communication Technology at Technische Universität Darmstadt. He holds a Dr. rer. nat. in Computer Science from RWTH Aachen and has held academic positions at institutions including the University of the German Armed Forces Munich and Queen’s University (Canada). His research focuses on model-based software engineering, embedded systems, graph transformation systems, and P2P technologies. Professional Activities: Co-organizer of >20 conferences/workshops Programme Committee Member for >130 conferences Editorial board member of Software & System Modeling (since 2004) Member of steering committees for GI Conference on Modeling, ICGT, and FASE Research Interests: Model-driven development of embedded systems Visual model transformation and specification languages Integration of system engineering tools Graph transformation applications in networking and real-time systems Awards & Recognition: Listed among the most cited computer scientists globally. Grants & Funding: Active in securing research funding for model-based engineering tools, graph transformation applications, and real-time systems development. Labs/Teams: Leads TU Darmstadt’s Real-Time Systems Group , focusing on model-driven prototyping and adaptive communication systems.

Frank AlsmeyerView profile

Professor

• Sustainable Energy Systems
• Energy Efficiency
• Sector Coupling
• +11 more

Prof. Dr.-Ing. Frank Alsmeyer is a faculty member in the Department of Mechanical and Process Engineering at Niederrhein University of Applied Sciences, where he leads research in Energy and Process Systems Engineering. He is affiliated with the Institute for Energy Technology and Energy Management (SWK E²) and supervises a wide range of student projects and theses focused on sustainable energy systems, optimization, and process engineering. His research interests include: Sustainable energy system technology Climate-friendly restructuring of energy supply Sector coupling across buildings, industry, transport, and commerce Non-fossil energy sources such as hydrogen and biogenic substances Computer-aided simulation and optimization using MILP and phenomenological models Improving process sustainability, quality, and cost-effectiveness His recent publications and research projects (e.g., Bilinear Optimization of Energy Systems, Green Heat for Krefeld) reflect a strong focus on modeling, simulation, and optimization of integrated energy systems, particularly in urban and industrial contexts. The work spans thermodynamics, energy cadastres, waste-to-energy integration, and digital education tools for engineering. There is a clear trend toward applied research with real-world implementation, especially in Krefeld and surrounding regions. Scientific awards include: Best FB04 Bachelor Project 2016/17 for the 'Energiebaukasten' interactive energy visualization tool Prof. Alsmeyer actively supervises numerous student theses and projects, covering topics such as energy efficiency, heat integration, hydrogen systems, and process optimization in industrial settings. He is involved in multiple funded research initiatives, including Bilinear Optimization of Energy Systems (2023–2026), Herzogenrath Energy Park, and OK!Thermo, an open educational resource for thermodynamics. His work bridges engineering fundamentals with practical applications in sustainability and digitalization. He leads the development of digital tools for energy analysis and education, such as interactive touch tables and online learning platforms. He is associated with the following labs and research groups: Institute for Energy Technology and Energy Management (SWK E²) Research group on Computer-Aided Analysis, Simulation and Optimization of Energy and Process Systems Team developing OK!Thermo and other OER materials for engineering education

• Optimization Algorithms
• Supply Chain Management
• Production Planning
• +4 more

Achim Koberstein is an Assistant Professor at Johann Wolfgang Goethe University, Frankfurt am Main, where he holds the Detlef Hübner Endowed Chair for Business Administration, specializing in Logistics and Supply Chain Management within the Department of Economics. His research focuses on optimization methodologies applied to industrial and logistical challenges. Research Focus Professor Koberstein's work spans three primary domains: Optimization algorithms and solver technology, production and supply network planning systems, and gas market optimization frameworks. His research integrates mathematical modeling with practical applications in: Advanced algorithm development for large-scale linear programming Strategic planning in automotive manufacturing systems Risk-optimized procurement in liberalized energy markets Sustainable logistics network design Publication Analysis Koberstein's recent publications (2006-2010) demonstrate consistent focus on optimization techniques with industrial applications. His work evolves from foundational algorithm improvements (dual simplex enhancements, Gomory cut strengthening) to domain-specific implementations in automotive production planning, gas procurement, and logistics networks. A strong emphasis emerges on uncertainty modeling, resource optimization, and large-scale system design.

• Discrete Optimization
• Scheduling Theory
• Algorithms
• +3 more

Dr. Sven Jäger is a Researcher at the Department of Mathematics, Faculty of Mathematics and Natural Sciences, Technical University Berlin. His office is located at MA 668 in the Mathematics Building at Straße des 17. Juni 136, 10623 Berlin, Germany. He can be reached by telephone at +49 30 314 23189 and by email at jaeger@math.tu-berlin.de, maintaining a professional presence through his personal website at https://sven-jaeger.gitlab.io . Dr. Jäger's research spans discrete mathematics and optimization with particular expertise in scheduling theory, algorithms, and their cross-disciplinary applications. His work bridges theoretical computer science with practical operations research challenges, evidenced by publications in top-tier venues including Mathematical Programming, European Journal of Operational Research, and SODA. He has developed significant theoretical contributions to non-clairvoyant scheduling, including competitive kill-and-restart strategies and proportional fairness analysis under polyhedral constraints. His research extends to quantum computing applications for discrete optimization and transportation network problems, demonstrating versatility across theoretical and applied domains. Analysis of his publication trajectory reveals three interconnected research streams: (1) theoretical scheduling algorithms with competitive ratio guarantees, (2) quantum-inspired optimization techniques applied to real-world problems like transport robot scheduling, and (3) transportation science applications including user equilibrium modeling and energy-efficient timetabling. His combinatorial work on symmetric chain decompositions and Gray codes provides foundational contributions to discrete mathematics. Dr. Jäger actively contributes to education as a teaching assistant for Analysis II for Engineering Sciences and Computer-Oriented Mathematics II at TU Berlin. While his publication record demonstrates significant scholarly impact across multiple domains, no specific scientific awards are mentioned in the available information. His collaborative work with researchers including Guillaume Sagnol, Anita Schöbel, and Nicole Megow spans theoretical computer science, operations research, and transportation applications, reflecting the interdisciplinary nature of his research program.

Jovita LukasikView profile

Researcher

• Computer Vision
• Machine Learning
• Neural Architecture Search
• +4 more

Jovita Lukasik is a Ph.D. candidate in Computer Science at the University of Mannheim , affiliated with the Data and Web Science Group and the Computer Vision and Machine Learning Group at the Max Planck Institute for Informatics . Supervised by Prof. Dr.-Ing. Margret Keuper , her research focuses on Neural Architecture Search (NAS) and its applications in computer vision and graph-based learning systems. Education Ph.D. (2019–present), Computer Science, University of Mannheim M.Sc. (2016–2019), Mathematics in Business and Economics, University of Mannheim B.Sc. (2012–2015), Mathematical Finance, University of Konstanz Lukasik's research bridges generative NAS , graph neural networks , and inverse problem solutions . She has developed novel approaches for variational graph embeddings and stability analysis in NAS frameworks, contributing to the democratization of efficient deep learning architecture discovery. Her publication trends reveal expertise in automated machine learning with specific attention to search space optimization , graph-based NAS , and stability in differentiable architecture search . She has presented at premier venues including European Conference on Computer Vision and International Conference on Learning Representations . Lukasik actively contributes to academic communities through workshop organization (NAS @ ICLR 2021) and virtual seminar leadership on AutoML advancements.

Yu GangView profile

Professor

• E-commerce
• Supply Chain
• Logistics
• +3 more

Professor Yu Gang serves as Professor of Management Practice of Innovation and Entrepreneurship at Cheung Kong Graduate School of Business (CKGSB), where he bridges academic theory with real-world business applications. He concurrently holds the position of Executive Chairman at New Peak Group (111.com.cn), demonstrating his dual commitment to academia and industry leadership in China's e-commerce sector. His academic foundation includes: Bachelor of Science from Wuhan University Master of Science from Cornell University PhD from the Wharton School of the University of Pennsylvania Professor Yu's research centers on operations management and supply chain optimization , with specialized focus on e-commerce logistics, healthcare systems, and internet-driven business models. His work consistently applies advanced mathematical frameworks to solve complex resource allocation problems across aviation, telecommunications, and retail sectors, emphasizing practical implementation in dynamic markets. His publication history reveals a sustained trajectory from theoretical optimization models in the 1990s toward applied solutions for digital commerce and healthcare logistics in the 2000s. The research demonstrates evolving expertise from airline crew scheduling to e-commerce supply chains, reflecting China's technological transformation. His distinguished recognition includes: 2002 Franz Edelman Management Science Achievement Award (INFORMS) 2002 IIE Transaction Award for Best Application Paper 2003 Outstanding IIE Publication Award 2012 Martin K. Starr Excellence Award (POMS) Professor Yu's industry experience as Vice President at Amazon and Dell directly informs his academic perspective, though specific grant details remain undisclosed. His leadership in founding CALEB Technologies and co-creating Yihaodian provides unparalleled case studies for entrepreneurship education at CKGSB. While current lab affiliations aren't specified, his past directorship of UT Austin's Center for Management of Operations and Logistics indicates his capacity for leading interdisciplinary research teams focused on operational excellence.