جست‌وجوی استاد و پژوهشگر

• Biological Physics
• Active Matter
• Soft Condensed Matter
• +۵ مورد دیگر

Dr. Thorsten Auth is a researcher at Forschungszentrum Jülich GmbH, affiliated with the Institute for Advanced Simulation (IAS) and its Theoretical Physics of Living Matter (IAS-2) division. His work bridges physics and biology, focusing on lipid-bilayer membranes, active matter, and cellular mechanics. Research Interests : Biological Physics, Active Matter, Soft Condensed Matter, Membrane Biophysics, and Computational Biophysics. He investigates membrane interactions with nano/microstructures and simulates active matter dynamics in cellular environments. Publications Trends : His recent work emphasizes active matter modeling, membrane-particle interactions, and computational approaches to non-equilibrium biological systems. Keywords include Biophysics , Nanotechnology , Non-equilibrium Physics , and Soft Matter . Contact : Available via phone (+49 2461/61-1735) or online profile ( Link ). ORCiD: 0000-0002-6618-2316 . Labs/Teams: Theoretical Physics of Living Matter (IAS-2), Forschungszentrum Jülich

Torsten Jeinschمشاهده پروفایل

استاد

• Control Engineering
• Maritime Technology
• Digital Control Systems
• +۵ مورد دیگر

Prof. Dr.-Ing. Torsten Jeinsch is Professor and Chair of Control Engineering at the University of Rostock, Germany, where he also serves as Head of the Application Center for Control Engineering (AZR) within the Institute of Automation Technology. He is affiliated with the Interdisciplinary Faculty (INF), Department of Maritime Systems, and maintains a dual research focus on theoretical control systems and practical maritime applications. His research program spans theory-oriented work in digital control (optimization of sampling processes), adaptive systems, optimal control, and fault-tolerant systems, alongside application-oriented research in automotive systems, medical technology (including the Rostock Anesthesia Assistance System), maritime technology, and energy systems. The maritime research is particularly extensive, covering large-scale underwater monitoring, autonomous rescue systems, and integrated control for large ships. Professor Jeinsch's recent publications reveal a strong emphasis on sampled-data systems theory and maritime control applications, with consistent advancement in autonomous vessel navigation, collision avoidance algorithms, and parameter estimation for ship maneuvering models. His work bridges fundamental control theory with practical engineering challenges in multiple domains. Professional affiliations include: Board member of the Department of Maritime Systems (INF) Head of Application Center Control Engineering (AZR) IFAC Technical Committee Marine Systems IFAC Technical Committee SAFEPROCESS (Fault Detection) DAAD Selection committee for USA/Canada His teaching portfolio covers Fundamentals of Control Engineering, Selected Applications, Control Systems/Automation, Fault Diagnosis, Computer-Aided Controller Design, Modern Methods of Control Engineering, and Modeling and Simulation of Technical Systems, reflecting his broad expertise across theoretical and applied control engineering.

Karsten Danzmannمشاهده پروفایل

استاد

• Gravitational Wave Astronomy
• Laser Interferometry
• Quantum Measurement
• +۲ مورد دیگر

Karsten Danzmann is a Professor at Leibniz Universität Hannover and Director of the Max Planck Institute for Gravitational Physics (Albert Einstein Institute) since 2002. He leads the Laser Interferometry and Gravitational Wave Astronomy department, focusing on advanced technologies for gravitational wave detection. Education : Diploma in Physics (1977), Universität Hannover PhD in Atomic and Molecular Physics (1980), Universität Hannover His research interests span gravitational wave astronomy, laser interferometry, quantum measurement, and space-based detector technology. He pioneered key innovations at the GEO600 detector, including squeezed light implementation and high-power lasers, now used in LIGO, Virgo, and KAGRA. He also leads the LISA space mission consortium for low-frequency gravitational wave detection in space. Scientific awards : Honorary Doctorate (RWTH Aachen, 2025) Edison Volta Prize (2018) Princess of Asturias Award (2017) Gruber Prize (2016) Hall of Fame der deutschen Forschung (2019)

Filip Sadloمشاهده پروفایل

استاد

• Computer Science
• Scientific Visualization
• Flow Visualization
• +۵ مورد دیگر

Prof. Filip Sadlo is a Full Professor of Computer Science at Heidelberg University's Interdisciplinary Center for Scientific Computing (IWR), leading the Visual Computing Group. He serves as Dean of Studies for the Department of Informatics since 2022 and holds roles in multiple academic organizations including VGTC Executive Committee (2022–2025) and Associate Director of IWR (2022–present). His research focuses on visualization of complex scientific data, flow analysis, vector field topology, and high-performance computing. Education: PhD in Computational Visualization from ETH Zurich (2010), with prior roles at European Forest Institute and University of Freiburg. Research Interests: Specializes in visualization techniques for fluid dynamics, vector fields, and uncertainty quantification. Key areas include Lagrangian coherent structures, advection-diffusion processes, and interactive visualization systems. His work bridges computational methods with real-world applications in engineering and environmental science. Publications: Over 80 peer-reviewed papers since 2004, emphasizing visualization algorithms for dynamic systems, topological data analysis, and scientific computing. Recent work explores metacognition in data visualization and discontinuous vector field analysis. Grants & Projects: Principal investigator in DFG-funded projects on visualization in meteorology and MRI-based diagnostics, as well as initiatives in data integration and simulation science (e.g., SFB-TRR 191, HIDSS4Health). Labs & Teams: Heads the Visual Computing Group, fostering interdisciplinary research in computational visualization and scientific computing.

Stefan Trautmannمشاهده پروفایل

استاد

• Behavioral Finance
• Experimental Economics
• Decision Making under Uncertainty
• +۳ مورد دیگر

Prof. Stefan Trautmann is a Professor of Behavioral Finance and Contract Theory at Heidelberg University's Alfred Weber Institute. He holds leadership roles including Head of Department (2023-) and Board Member of the Alfred Weber Institute. His research focuses on behavioral economics, experimental finance, and decision-making under uncertainty. He co-leads the experimental economics group, organizing workshops and maintaining a data repository (AWI HeiDATA). Research interests include financial decisions under risk, social preferences, and the economics of religion. He has published in top journals like Journal of Risk and Uncertainty and European Economic Review , and received the 2024 Heinrich-Wiemer-Prize for Economics. He serves on editorial boards of journals such as Journal of Economic Behavior and Organization and Management Science . Teaching includes corporate governance and behavioral finance courses. He advises institutions like the German Federal Institute for Risk Assessment and chairs behavioral finance sessions at the Swiss Society for Financial Market Research. His work bridges theoretical insights with practical applications in policy and finance.

• Knowledge Representation
• Spatial and Temporal Cognition
• Multimodal Interaction
• +۳ مورد دیگر

Prof. Christopher Habel is a Professor in the Department of Computer Science at the University of Hamburg, leading the WSV work area. His research focuses on spatial and temporal cognition, multimodal interaction, and accessibility technologies. He holds the formal title of Head of Department WSV and is affiliated with the Faculty of Mathematics, Computer Science and Natural Sciences. Habel's work bridges cognitive science, artificial intelligence, and human-computer interaction with an emphasis on assistive technologies for visually impaired individuals. Key research projects include the CINACS International Research Training Group, exploring auditory-haptic access to spatial graphics, and the development of multimodal comprehension systems integrating text, graphics, and tactile feedback. His contributions span theoretical frameworks in cognitive linguistics and practical implementations of verbal assistance systems for tactile maps and haptic graph exploration. Over 30 years of academic activity is reflected in his extensive publication record (1984–2015), with recent work emphasizing cross-linguistic studies, event recognition in virtual environments, and the design of multimodal interfaces for cognitive robotics. His research integrates computational models with empirical studies on human perception and language processing.

Stefan Voßمشاهده پروفایل

استاد

• Logistics Optimization
• Metaheuristics
• Sustainable Port Operations
• +۳ مورد دیگر

Prof. Dr. Stefan Voß is a Professor at the Institute of Information Systems within the Hamburg Business School (HBS) at the University of Hamburg. He serves on the HBS Dean's Office and focuses on logistics optimization, metaheuristics, and sustainable port operations. His work integrates AI, machine learning, and operations research to address challenges in transportation, supply chain management, and public infrastructure. Research Interests: Dr. Voß specializes in: Metaheuristic algorithms (e.g., fixed set search, GRASP, VNS) Optimization of port and maritime logistics (berth allocation, quay crane scheduling) AI applications in transportation (predictive analytics, emotion recognition) Sustainable operations (green port infrastructure, EV charging networks) Public transport efficiency (bus scheduling, delay prediction) Publications: Recent work emphasizes AI-driven logistics, robust optimization under uncertainty, and digital twin applications in ports. His 2025 studies explore domain-generalized emotion recognition and dynamic seaport automation. 2024 articles highlight multi-objective scheduling, EV fleet optimization, and sustainable container storage. Labs/Teams: Leads research at the Institute of Information Systems, collaborating on port sustainability projects (e.g., Port of Hamburg) and digital innovation in logistics systems.

Mark Mitchisonمشاهده پروفایل

مدرس ارشد

• Quantum Thermodynamics
• Open Quantum Systems
• Non-equilibrium Statistical Mechanics
• +۹ مورد دیگر

Mark Mitchison is a Senior Lecturer in Quantum Science at King’s College London since April 2025 and an Adjunct Assistant Professor at Trinity College Dublin (TCD). He completed his PhD at Imperial College London and held postdoctoral positions at the University of Ulm and TCD, where he founded the Theory of Controlled Quantum Systems (ToCQS) group in 2021. His research focuses on quantum thermodynamics, open quantum systems, and non-equilibrium statistical mechanics. His work spans quantum nanomachines ultracold atomic gases mesoscopic electronic circuits quantum information theory stochastic thermodynamics with methodologies including tensor networks and full counting statistics. Mark’s publications emphasize non-equilibrium quantum thermodynamics , precision measurement , and quantum coherence . He has mentored PhD students Oisín Ó Conchubhair, Khalak Mahadeviya, Sindre Brattegard, Peter O’Donovan, and Alessandro Summer. Awards include the Royal Society-SFI University Research Fellowship. He co-organized the ASPECTS Hackathon and leads the EU-funded ASPECTS project on quantum-enhanced measurement devices.

Sebastian Weberمشاهده پروفایل

پژوهشگر ارشد

• Quantum Computing
• Rydberg Atoms
• Topological States of Matter
• +۳ مورد دیگر

Sebastian Weber is a Research Fellow at the Institute of Theoretical Physics III, University of Stuttgart. His work focuses on quantum computing, topological states of matter, and Rydberg atom systems. He holds a PhD in Physics (2021) and has conducted research on quantum simulation, error budgeting in quantum gates, and topological phases in atomic arrays. Education: PhD (2021), Master's (2015), Bachelor's (2013) Affiliations: University of Stuttgart, QRydDemo consortium Research interests span Rydberg atom interactions, quantum simulations of topological systems, and the development of quantum algorithms. He has contributed to open-source projects like pairinteraction and Qiskit QRyd Provider . His publications (13+ peer-reviewed articles) address topics such as synthetic gauge fields in Rydberg lattices, error analysis in quantum gates, and coherent control of atomic qubits. He has taught courses in quantum mechanics, electrodynamics, and mathematical physics at the University of Stuttgart. Labs/Teams: Active contributor to quantum computing projects involving Rydberg atoms and topological materials simulations.

Raik Stolletzمشاهده پروفایل

استاد

• Operations Management
• Business Analytics
• Quantitative Decision Analysis
• +۸ مورد دیگر

Prof. Dr. Raik Stolletz is a Professor of Production Management at the Business School of the University of Mannheim, leading the Chair of Production Management within the Area Operations Management. His research focuses on business analytics, quantitative decision support for manufacturing and service systems, and stochastic modeling for operations optimization. Area Operations Management, Business School, University of Mannheim Research Interests : Stolletz specializes in predictive and prescriptive business analytics, with applications in Industry 4.0, airport operations, automotive production, workforce planning, and distribution center management. His work emphasizes tools for decision-making in deterministic and stochastic environments. Research Trends : His recent publications address time-dependent queueing systems, buffer allocation in stochastic flow lines, assembly line balancing, and revenue management in production. Keywords span Operations Management, Supply Chain Analytics, and Industrial Engineering, with sub-fields including Stochastic Optimization, Dynamic Scheduling, and Service Systems. Grants & Collaborations : Projects are funded by industry partners, the European Union, and the German Science Foundation (DFG), focusing on automotive production networks, airport logistics, and manufacturing system optimization.

• Database Systems
• Data Management
• Data Mining
• +۴ مورد دیگر

Michael Grossniklaus is a Professor at the University of Konstanz, Germany, specializing in database systems, data management, and information systems. His research focuses on query optimization, social media data streams, and object-oriented databases. He has contributed to the development of C-SPARQL for RDF stream processing and frameworks for adaptive data management. Grossniklaus has collaborated extensively with researchers in areas such as trajectory data modeling, cloud database optimization, and context-aware systems. His work emphasizes practical applications in education technology, mobile computing, and semantic web technologies. Affiliation: University of Konstanz, Germany Key Research Areas: Database Systems, Data Mining, Social Media Analysis, Query Optimization Notable Projects: C-SPARQL, Sahara (cloud database optimization), LPLM (neural cardinality estimation) Recent publications highlight advancements in neural models for cardinality estimation, trajectory data models, and memory optimization in cloud databases. His interdisciplinary approach bridges theoretical foundations with real-world applications in education, social media, and mobile systems.

Mahendra Singhمشاهده پروفایل

پژوهشگر

• Energy Management
• Smart Buildings
• Energy Transition
• +۶ مورد دیگر

Dr. Mahendra Singh is a Researcher and Data Scientist in the Department of Energy Technologies and Energy Systems , currently affiliated with Fraunhofer ISI . He holds a joint doctorate from the Grenoble Institute of Technology, France, and the European Institute of Innovation & Technology (EIT). His research focuses on energy management, smart buildings, innovation clusters, and data-driven business models in the energy sector. Key projects include the Thai-German Cooperation on Energy, Mobility and Climate (TGC EMC) ; ENTEC Energy Transition Expert Network ; and Common European Energy Data Space . He has contributed to studies on energy transition policies, digitalization of energy flexibility, and cleantech startup ecosystems. His work integrates data analysis and diagnostic tools for building systems, with notable contributions to fault detection in smart buildings and energy consumption analysis of consumer electronics. Over 20+ peer-reviewed publications reflect his expertise in energy systems, sustainability, and innovation strategies. Mahendra’s academic trajectory includes a postdoc at the Maersk Mc-Kinney Moller Institute (Denmark) and collaborations across Europe and Asia. He advises on EU-funded initiatives and industry partnerships, emphasizing actionable insights for energy transition challenges.

• High-Performance Computing (HPC)
• Parallel Programming
• Performance Modeling
• +۶ مورد دیگر

Felix Wolf is a Full Professor at Technische Universität Darmstadt's Department of Computer Science since 2015 and leads the NHR4CES@TU Darmstadt HPC center. He served as Department Chair and Vice Department Chair at TU Darmstadt, with prior faculty roles at RWTH Aachen University (2006–2015) and adjunct positions at the University of Tennessee (2003–2008). His academic work spans performance analysis, parallel programming, and scalability modeling. Ph.D. in Computer Science, RWTH Aachen University (2003) M.Sc., RWTH Aachen University (1998) Research Interests : Wolf focuses on High-Performance Computing , including performance modeling , parallel programming tools , and I/O optimization . His work addresses GPU acceleration , machine learning integration into HPC systems, and structural plasticity simulation . Key projects involve tools like Scalasca, Score-P, and Extra-P for automated performance analysis. Article Trends : Recent publications emphasize HPC systems for AI-driven workflows , I/O contention reduction , and GPU port validation . His team explores empirical modeling for deep learning and scientific simulations , with applications in engineering and neuroscience .

Martin Lacknerمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Computational Social Choice
• Algorithms
• +۳ مورد دیگر

Martin Lackner is a Researcher at the Vienna University of Economics and Business (WU Wien) within the Institute for Data, Process and Knowledge Management. He previously held postdoctoral positions at the University of Oxford and TU Wien, and earned his doctoral degree (Dr. techn.) in computer science from TU Wien in 2014. His research focuses on artificial intelligence, computational social choice, and algorithm design, with a particular emphasis on multi-winner voting systems, approval-based methods, and fairness in decision-making processes. Education: PhD in Computer Science (TU Wien, 2014), Mathematics in Computer Science studies at TU Wien, and a semester at the University of Illinois at Urbana-Champaign (USA). Research interests include computational social choice topics such as multi-winner voting, approval-based committee rules, liquid democracy, and axiomatic analysis of voting systems. He has contributed to the development of the abcvoting Python library for implementing approval-based voting rules and co-authored the book Multi-Winner Voting with Approval Preferences (Springer, 2023). His work bridges theoretical computer science with practical applications in democratic processes and algorithmic fairness. Key contributions include studies on proportional representation mechanisms, participatory budgeting fairness, and long-term decision-making frameworks. Lackner's research frequently addresses the algorithmic aspects of collective decision-making, with publications in venues like Artificial Intelligence , Journal of Economic Theory , and top conferences such as AAAI and IJCAI. Grants and Projects: Principal investigator of the FWF-funded project Algorithms for Sustainable Group Decision Making (TU Wien, 2025–present), and co-developer of the abcvoting open-source software project.

• Algorithmic Game Theory
• Approximation Algorithms
• Dynamic Routing Games
• +۳ مورد دیگر

Laura Vargas Koch is an Associate Professor for Algorithmic Game Theory and Discrete Mathematics at RWTH Aachen University's GDM (Games and Discrete Mathematics) department. Her research focuses on approximation algorithms, dynamic routing games, and optimization in flow problems. She holds a PhD from RWTH Aachen under Britta Peis and has held postdoctoral positions at ETH Zurich, CMM in Santiago de Chile, and was a Bonn Junior Fellow at the Hausdorff Center for Mathematics. She teaches courses such as 'Selected Topics in Discrete Mathematics' and 'Algorithmic Game Theory'. Education: PhD in Discrete Mathematics (RWTH Aachen, Britta Peis) Her research interests emphasize algorithmic approaches to dynamic systems and game-theoretic network models. Recent work explores convergence properties of routing equilibria and spillback effects in traffic networks. She actively contributes to conferences such as SAGT, APPROX, and EC, and organizes events like the Dagstuhl seminar on Dynamic Traffic Models. She co-hosted the podcast 'Algo2Go' to popularize algorithmic topics during the pandemic. Publications span theoretical computer science and operations research, with notable contributions on planar graph flows and Nash flow dynamics over time.