جست‌وجوی استاد و پژوهشگر

Falk Hanteمشاهده پروفایل

استاد

• Optimization of complex systems
• Optimal control of partial differential equations
• Mixed-integer optimal control
• +۵ مورد دیگر

Prof. Falk Hante is a Professor of Applied Mathematics at Humboldt University of Berlin's Faculty of Mathematics and Natural Sciences, specializing in optimization of complex systems. He holds positions as Deputy Managing Director of the Institute of Mathematics and spokesperson roles in TRR154 (Mathematical Modeling of Gas Networks). His research focuses on optimal control of dynamic systems, particularly involving partial differential equations, with applications in gas networks and hybrid systems. Education: PhD in Mathematics (2010), FAU Erlangen-Nuremberg Habilitation (2018), FAU Erlangen-Nuremberg Research Interests: He investigates applied analysis, numerical mathematics, and mathematical optimization, with emphases on: Optimization of switching systems Network dynamics control Model predictive control Gas transport network optimization Recent Articles Trends: Recent work emphasizes gas network optimization, stabilization of PDE systems, and general equilibrium problems. Methodologies include mixed-integer programming and relaxation techniques for PDE-constrained systems. Awards: STAEDTLER Promotional Prize (2011) MATCH Postdoctoral Fellowship (2011–2012) Advising/Grants: Supervises research projects including Math+ (Decision-Making for Energy Networks) and DFG-funded TRR154 subprojects. Former advisees include Yan Brodskyi and Fabian Rüffler. Labs/Teams: Leads the Optimization of Complex Systems working group, collaborating with researchers like Michael Hintermüller on algorithmic optimization seminars and gas network modeling.

Kevin-Martin Aignerمشاهده پروفایل

پژوهشگر

• Optimization under Uncertainty
• Power Network Optimization
• Data-Driven Optimization
• +۳ مورد دیگر

Kevin-Martin Aigner serves as an Academic Councillor (Akad. Rat) at the Department of Data Science within the Faculty of Science at Friedrich-Alexander University Erlangen-Nuremberg (FAU). He is affiliated with the Professorship of Optimization under Uncertainty & Data Analysis led by Prof. Dr. Liers, focusing on mathematical optimization methods for energy systems and power networks. His work bridges theoretical optimization with practical energy transition challenges. His research centers on optimization under uncertainty, with key interests in distributionally robust optimization, data-driven methods, and sector-coupled energy system modeling. He develops novel approaches for handling renewable energy uncertainties in power grids, solar feed-in variability, and multi-sector energy integration. His methodologies emphasize explainability in optimization processes and robust decision-making under complex uncertainty structures. Recent publications reveal consistent focus on power network optimization (2021-2025), with increasing emphasis on distributionally robust frameworks, explainable AI integration, and regional multi-sector energy modeling. His work demonstrates strong interdisciplinary connections between operations research, machine learning, and sustainable energy systems engineering. Scientific recognition includes: GOR Dissertation Award for "Data-driven Optimization under Uncertainty for Power Networks" Dr. Aigner actively contributes to major research initiatives including: CRC TRR 154: Mathematical Modeling, Simulation and Optimization using Gas Networks (2022-2026, DFG-funded) ESM-Regio: Multi-sector Coupled Energy System Modeling on Regional Level (2021-2024, BMWE-funded) Optimal Control of Electrical Distribution Networks with Uncertain Solar Feed-in (2018-2021) He participates in the Optimization under Uncertainty & Data Analysis (OUDA) research group and has organized academic events including the TRR 154 Summer School on Optimization, Uncertainty and AI (2024) and Women in Optimization 2024. His teaching includes Discrete Optimization I and specialized seminars on Mixed-Integer Nonlinear Optimization.

• Computational Optimization
• Mathematical Optimization
• Numerical Analysis
• +۴ مورد دیگر

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 Wentgesمشاهده پروفایل

استاد

• Management Control Systems
• Value-oriented Controlling
• Performance Management
• +۴ مورد دیگر

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 Wollnerمشاهده پروفایل

استاد

• Optimization
• Applied Mathematics
• PDE-Constrained Optimization
• +۷ مورد دیگر

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.

Frank Alsmeyerمشاهده پروفایل

استاد

• Sustainable Energy Systems
• Energy Efficiency
• Sector Coupling
• +۱۱ مورد دیگر

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

• Power Systems
• Energy Economics
• Grid Integration
• +۳ مورد دیگر

Albert Moser is a Professor and Chair of Transmission Grids and Energy Economics at RWTH Aachen University's Faculty of Electrical Engineering and Information Technology. His research focuses on power system optimization, energy market design, and grid integration of renewable resources, with emphasis on developing modeling frameworks for future energy systems. His technical expertise encompasses congestion management strategies, grid stability analysis for converter-dominated systems, and integrated energy system planning. Recent work investigates water-energy interdependencies for hydrogen production, complexity reduction techniques for stability assessment, and curative remedial action planning for enhanced grid resilience. Moser's publications demonstrate consistent focus on practical solutions for energy transition challenges, including market-based approaches for grid charge allocation, uncertainty-aware infrastructure planning, and advanced modeling of HVDC systems and wind generation clusters. His group develops computational tools for security-constrained optimization and hybrid simulation techniques to address power quality issues.

David Bommesمشاهده پروفایل

استاد

• Computer Graphics
• Geometry Processing
• Mesh Generation
• +۴ مورد دیگر

Prof. Dr. David Bommes is a leading researcher in computer graphics and geometry processing, currently a Professor at the University of Bern . His expertise lies in mesh generation, particularly quadrilateral and hexahedral meshing, numerical optimization, and automatic differentiation techniques. His research focuses on developing robust algorithms for generating high-quality meshes from complex geometries, with applications in CAD, architecture, and simulation. He has made significant contributions to the fields of surface and volume parametrization, directional field synthesis, and geometry processing optimization. Prof. Bommes has received notable recognition, including the Best Paper Award (1st place) at SGP 2022 and the Graphics Replicability Stamp for his work on TinyAD, a lightweight automatic differentiation library for geometry processing. His publications span top-tier venues such as SIGGRAPH, Eurographics, and ACM Transactions on Graphics, covering topics from automatic differentiation and geodesic computation to advanced meshing techniques. He actively collaborates with leading institutions and researchers worldwide.

• Computer Graphics
• Computational Geometry
• Mesh Processing
• +۳ مورد دیگر

Hans-Christian Ebke is a Researcher at the Department of Computer Science , RWTH Aachen University . He specializes in Computer Graphics and Computational Geometry , focusing on Quad Meshing , Surface Parametrization , and 3D Modeling . His work emphasizes interactive control, scale-aware algorithms, and robust extraction methods for high-resolution meshes. His notable contributions include the QEx method for reliable quad mesh extraction, the libQEx open-source implementation, and techniques for handling Scale-Invariant Directional Alignment and Level-of-Detail Quad Meshing . He has collaborated extensively with researchers like Marcel Campen, David Bommes, and Leif Kobbelt on geometric design and optimization problems. He has authored key publications at venues such as SIGGRAPH Asia , SIGGRAPH , and the Eurographics Symposium on Geometry Processing . These works address challenges in Integer-Grid Mapping , Cross Field Computation , and Vascular Structure Meshing , with applications in medical imaging and computer-aided design.

Henrik Zimmerمشاهده پروفایل

پژوهشگر

• Computer Graphics
• Geometry Processing
• 3D Modeling
• +۵ مورد دیگر

Dr. Henrik Zimmer is a researcher at RWTH Aachen University specializing in computer graphics and geometry processing. His work bridges theoretical computational geometry with practical applications in digital fabrication, medical visualization, and industrial manufacturing. Affiliated with the Department of Computer Science, he has made significant contributions to mesh processing, 3D modeling, and optimization algorithms for real-world applications. His research focuses on geometry optimization for fabrication constraints, including Zometool-based approximation of freeform surfaces and rationalization of point-folding structures. Key interests include Mesh processing and topology preservation Variational methods for planar polygonal meshing Mixed-integer optimization for quadrangulation Medical visualization techniques for diffusion fiber tracking Industrial vision systems for laser welding process control His publication record shows consistent innovation from 2006 to 2014, with recent work emphasizing digital fabrication and practical optimization for consumer-level manufacturing. Notable scientific contributions include: Efficient algorithms for shortest path-concavity computation in 3D meshes Interactive volume-based visualization for diffusion MRI data Rationalization methods reducing fabrication costs by over 90% Novel approaches to melt pool monitoring in industrial welding Zimmer's collaborative work with Leif Kobbelt demonstrates strong industry-academia connections, particularly in translating geometric algorithms to manufacturing applications. His research spans both theoretical computer graphics (SIGGRAPH, Eurographics) and industrial applications (laser welding process control), reflecting a unique interdisciplinary approach. Current work focuses on making advanced geometric modeling accessible through personal fabrication technologies.

• Evolutionary Algorithms
• Optimization
• Multi-Objective Optimization
• +۳ مورد دیگر

Ofer M. Shir is a faculty member affiliated with Tel-Hai College and MIGAL - Galilee Research Institute in Israel. His primary research focuses on evolutionary algorithms, multi-objective optimization, and their applications in quantum control, machine learning, and computational science. He has collaborated extensively with institutions and researchers globally, contributing to advancements in optimization theory and practical problem-solving through evolutionary computation. Shir's work spans theoretical foundations, such as covariance-Hessian relations in evolution strategies, to applied domains like quantum control experiments and algorithmic-guided discovery of viral epitopes. He has developed and benchmarked algorithms like the CMA-ES and SMS-EMOA, emphasizing their performance in complex, real-world scenarios. His contributions also include methodologies for sequential experimentation and improving model accuracy through techniques like batch normalization. Shir has published extensively in top-tier venues such as IEEE Transactions on Evolutionary Computation, Genetic Programming and Evolvable Machines, and the GECCO conference series. His research bridges theoretical computer science with practical applications, impacting fields from bioinformatics to engineering.

Günter Woznyمشاهده پروفایل

استاد

• Process Optimization
• Process Simulation
• Integrated Processes
• +۷ مورد دیگر

Prof. Dr. Günter Wozny is a Professor at Technische Universität Berlin, affiliated with Faculty III and the Institute for Process and Plant Engineering. He served as a former member of the UniCat Cluster of Excellence's Executive Board (2008-2012). His research focuses on process optimization, simulation, integrated processes, information management, system dynamics, and thermal separation techniques. His work spans fields like oxidative coupling of methane (OCM), membrane reactors, CO₂ capture, and process intensification. Key contributions include advancements in reactor engineering, separation technologies, and energy-efficient processes. Notable awards include the Cross of Merit of the Republic of Poland (2016) for fostering scientific exchange between Germany and Poland. He has supervised prominent students like Mariano Nicolas Cruz Bournazou, who received the Chorafas Prize for his thesis work. Collaborations with industry partners like Siemens and Endress+Hauser have driven applied research. Wozny leads the FG Dynamik und Betrieb group and has pioneered the development of UniCat’s miniplant for OCM process studies. His publications emphasize robust optimization methods, CFD modeling of fluidized beds, and techno-economic evaluations of industrial processes. He has authored over 220 papers and holds patents for OCM-related technologies, such as oxidative conversion methods and reactor designs.

• Computer Science
• Network Virtualization
• Cloud Computing
• +۴ مورد دیگر

R. Boutaba is a prominent academic in the field of computer science and networking, with extensive research contributions in cloud computing, network virtualization, and software-defined networking. His work is widely cited and published in top-tier IEEE and Springer journals and conferences. His research interests include network management, virtualization, cloud computing, and the application of machine learning in networking. He has contributed foundational surveys and algorithms in network function virtualization and virtual network embedding, influencing both academic and industrial developments. The recent articles show a strong trend toward intelligent network management, leveraging machine learning and virtualization to optimize network performance, reduce operational costs, and enhance security. His work spans theoretical modeling and practical implementation in SDN and NFV environments. Network Virtualization Cloud Computing Machine Learning for Networking Software-Defined Networking Network Security Resource Allocation R. Boutaba has collaborated with researchers such as Reaz Ahmed, S. R. Chowdhury, and Mosharaf Chowdhury. While specific details of grants and advising are not provided in the text, his high citation count and publication volume suggest significant research leadership and student supervision. He is affiliated with a major research institution, though not explicitly named here, and continues to be active in advancing networking technologies.

• Continuous Optimization
• Robust Optimization
• Mixed-integer nonlinear optimization
• +۷ مورد دیگر

Prof. Dr. Oliver Stein is a faculty member at the Karlsruhe Institute of Technology within the School of Business , specifically the Department of Operations Research . His research focuses on Continuous Optimization , Non-smooth Optimization , and Multiobjective Optimization , with applications in Operations Research , Game Theory , and Engineering Design . Stein has contributed extensively to semi-infinite programming , bilevel optimization , and mixed-integer nonlinear optimization . His work includes theoretical advancements in constraint qualifications , projected gradient flows , and epigraph reformulations , alongside practical applications in gemstone cutting and modular system design . His 15 most recent publications span topics such as non-convex Nash equilibrium problems , granularity in polynomial optimization , and branch-and-bound algorithms , reflecting a blend of theoretical rigor and real-world impact. Stein has received prestigious awards including the Heisenberg fellowship (2005-2006) and Feodor Lynen fellowship (1999-2000). He serves on editorial boards of journals like the Journal of Global Optimization and Optimization .

Michael Rathمشاهده پروفایل

استاد

• Building energy technology
• Renewable energy systems
• Geothermal systems
• +۷ مورد دیگر

Prof. Dr. Michael Rath is Professor for Building Energy Technology at Hochschule Bochum since February 2022, affiliated with the Department of Civil and Environmental Engineering. He serves as Deputy Chairman of the Committee for Renewable Energy Systems, member of the Faculty Council, and member of several interdisciplinary institutes including the Interdisciplinary Institute for Applied AI and Data Science Ruhr (AKIS), DigiTeach Institute, and the Foundation Institute for the Energy Transition Institute (EnWI). His educational background includes parallel Diplom studies in Physics and Mathematics at Westfälische Wilhelms-Universität Münster (2004-2010), followed by doctoral research at Philipps-Universität Marburg (2010-2015) where he completed his dissertation on turbulence models. Prof. Rath's research spans building energy technology with a strong focus on renewable energy integration, particularly geothermal and solar systems. His work addresses climate-neutral energy systems through innovative approaches to district heating networks, thermal storage solutions, and machine learning applications for energy optimization. He investigates urban heat transition strategies, building automation, and sector coupling to achieve sustainable energy solutions for both new and existing buildings. His publication portfolio reveals consistent research output focused on practical energy solutions, with recent work emphasizing geothermal heat pump optimization, machine learning applications in energy systems, and district heating network design. The research demonstrates a clear trajectory toward integrated, climate-neutral urban energy systems with particular attention to forecasting methods, market-oriented operation, and thermal storage solutions. Prof. Rath actively supervises numerous bachelor's and master's theses, with recent students working on topics including thermal network modeling, sustainable hot water supply, summer heat protection measures, and photovoltaic integration effects on electricity prices. He also serves as second supervisor for doctoral candidates working on decarbonized district heating systems and hierarchical control strategies. He leads the Competence Center for Integrated Building Energy Technology at Fraunhofer IEG and is involved in significant research projects including EnOB: ARCHE (focusing on self-optimizing control systems for distributed energy systems) and the NRW Heat Study by LANUV, where he contributes to regional heat planning with a focus on developing cost frameworks for renovation measures.