جست‌وجوی استاد و پژوهشگر

Marco Aielloمشاهده پروفایل

استاد

• Service Computing
• Artificial Intelligence
• Energy Systems
• +۹ مورد دیگر

Marco Aiello is a Professor and Vice Dean at the University of Stuttgart's Faculty of Computer Science, Electrical Engineering and Information Technology. He leads the Institute of Architecture of Application Systems, focusing on Service Computing and AI-driven technologies. His research spans energy systems optimization, smart grids, IoT integration, and AI planning in robotics and automation. He has contributed to frameworks for carbon-efficient computing, blockchain-based IoT security, and human-aware robotics systems. Key research areas include: Service Composition & Large Language Model Integration Energy Smart Buildings & Sustainable Data Centers Robot Task Planning & Human-Computer Interaction Decentralized Energy Markets & Peer-to-Peer Trading Recent work emphasizes: - AI planning methodologies in real-world domains - Carbon-aware scheduling for Kubernetes deployments - Multimodal LLMs for human behavior prediction Awards: None explicitly mentioned. Grants/Advising: Active in doctoral supervision and industry collaborations, though specific grants are not detailed here. Labs/Teams: Leads the Institute's work on service-oriented systems and energy-aware computing architectures.

Bernd Kempaمشاهده پروفایل

استاد

• International Macroeconomics
• Monetary Policy
• International Finance
• +۵ مورد دیگر

Professor Bernd Kempa is a Professor of Economics at the Institute of International Economics within the School of Business and Economics at the University of Münster, Germany. He has served as Director of the Institute since 2008 and maintains an active research program focused on international macroeconomics, monetary policy, and international finance. Education: 2000: Habilitation, University of Essen 1995: PhD (Economics), University of Toronto 1990: Graduate economist (Diplom), University of Essen Professor Kempa's research primarily focuses on international macroeconomics and monetary policy, with particular emphasis on exchange rate dynamics, monetary policy transmission, and the natural rate of interest. His work often employs advanced econometric techniques including Bayesian methods and dynamic factor models to analyze complex economic phenomena in the context of the European Monetary Union and global economic systems. He has made significant contributions to understanding real exchange rate convergence in the euro area and the relationship between central bank communication and policy effectiveness. His recent publications demonstrate a consistent focus on real exchange rate dynamics within the euro area, the role of macroeconomic uncertainty in determining the natural interest rate, and the relationship between central bank communication and policy effectiveness. His research bridges theoretical economic models with empirical analysis of real-world monetary policy challenges, often utilizing sophisticated statistical methods to address questions of economic significance to policymakers. Professor Kempa currently leads several research projects including "Real exchange rate dynamics in the European monetary union" and "The Fed's switch to an explicit inflation target: Communication and policy consequences." He regularly contributes to the Economic Research Seminar series at the Center for Quantitative Economics and teaches courses on international economics, macroeconomics, and monetary policy at both undergraduate and graduate levels, demonstrating his commitment to both research excellence and academic instruction.

Mark Tredeمشاهده پروفایل

استاد

• Econometrics
• Economic Statistics
• Time Series Analysis
• +۷ مورد دیگر

Professor Mark Trede is a distinguished academic at the Institute of Econometrics and Economic Statistics within the School of Business and Economics at the University of Münster, Germany. His office is located in Room 301 at Am Stadtgraben 9, 48143 Münster, and he can be reached at +49 251 83-25006 or mark.trede@uni-muenster.de. Professor Trede's research spans multiple areas of econometrics and economic statistics, with particular expertise in time series analysis, stochastic volatility models, copula modeling, and financial market analysis. His work addresses critical issues in income inequality, income mobility, speculative bubbles, and algorithmic pricing. He has made significant contributions to understanding volatility transmission between assets, measurement errors in financial data, and the application of advanced statistical methods to economic problems. His publication record demonstrates consistent scholarly output over more than two decades, with recent research focusing on spatial earnings inequality, stock market bubbles, volatility transmission, and Bayesian approaches to stochastic volatility modeling. His work often combines theoretical econometric advances with empirical applications to real-world economic and financial phenomena. Professor Trede leads multiple ongoing research projects including 'Modeling and forecasting financial-market volatility' and 'Bubbles in financial markets,' both active since 2020. He has successfully completed several significant research projects funded by the German Research Foundation (DFG) and the Federal Ministry for Economic Affairs and Energy (BMWE), including studies on inequality dynamics in the life cycle and spatial disparities in French and German labor markets. He is actively involved in the academic community, organizing and participating in the Economic Research Seminar at the Center for Quantitative Economics (CQE), with upcoming lectures scheduled through 2025 featuring scholars from institutions including the University of Mainz, TU Dortmund University, and the University of Cambridge.

Gaygysyz Guljanovمشاهده پروفایل

پژوهشگر

• Econometrics
• Macroeconomics
• Computational Economics
• +۳ مورد دیگر

Dr. Gaygysyz Guljanov served as a Former Researcher at the Institute of Econometrics and Economic Statistics within the School of Business and Economics at the University of Münster . His research focused on advanced econometric methodologies applied to macroeconomic modeling, particularly in the context of Dynamic Stochastic General Equilibrium (DSGE) frameworks. He specialized in Bayesian estimation techniques, computational econometrics, and the analysis of skewed distributions in economic models. Key research interests included improving DSGE model estimation through skewed Kalman filters, replicating anchored inflation expectations frameworks, and analyzing the yield curve using pruned skewed smoothers. His work contributed to better understanding nonlinear economic dynamics and model validation processes. No academic awards or grants were explicitly mentioned in the provided materials. His advising record remains unspecified, though his affiliation with the Center for Quantitative Economics suggests involvement in collaborative research initiatives. Dr. Guljanov was affiliated with the following academic units at the University of Münster: Institute of Econometrics and Economic Statistics Center for Quantitative Economics (CQE) School of Business and Economics His professional activities included organizing academic seminars, such as the Economic Research Seminar on June 18, 2025, featuring guest lectures from institutions like Tel Aviv University.

Adrian Schröderمشاهده پروفایل

پژوهشگر ارشد

• Fiscal policy
• Macrofinance
• Multivariate time series analysis
• +۳ مورد دیگر

Adrian Schröder serves as a Research Fellow at the Institute of International Economics within the School of Business and Economics at University of Münster. His institutional affiliation includes positions at the Institute for Econometrics and Economic Statistics and participation in the Economic Research Seminar series. His research spans quantitative economic analysis with focus areas in fiscal policy mechanisms, macrofinancial system interactions, and advanced statistical methodologies. He specializes in multivariate time series applications and Bayesian econometric techniques for economic modeling. Schröder's scholarly output demonstrates integration of theoretical economic frameworks with empirical validation methods. His 2023 publication examines epistemological boundaries in monetary theory through rigorous quantitative analysis. As an educator, he conducts seminars on Selected Topics in International Economics and has previously tutored Empirical Economics courses. His methodological expertise supports both theoretical economic research and practical policy analysis applications.

Armen Sedrakianمشاهده پروفایل

استاد

• Physics of Compact Stars
• Quantum Chromodynamics (QCD)
• Neutron Star Cooling
• +۳ مورد دیگر

Armen Sedrakian is a Professor at Wroclaw University and a Fellow at the Frankfurt Institute for Advanced Studies (FIAS), affiliated with Goethe University in Frankfurt. His research focuses on theoretical physics and astrophysics, particularly the physics of compact stars, dense matter behavior under extreme conditions, and QCD at finite temperature/density. Key areas include neutron star cooling mechanisms, hyperonization effects, quark-gluon plasma properties, and axion physics. Recent work emphasizes Bayesian analysis of covariant density functionals using multimessenger data, phase transitions in hybrid stars, and superconductivity in magnetars. His studies also address transport coefficients in neutron star crusts and the implications of NICER mission data for neutron star structure. Publications span topics like Josephson currents in neutron stars, thermal Hall effects in dense plasmas, and constraints on axion properties from cooling data. Sedrakian collaborates internationally on projects involving gravitational wave astronomy and Einstein Telescope science.

Eric Lutzمشاهده پروفایل

استاد

• Quantum Thermodynamics
• Nonequilibrium Statistical Mechanics
• Quantum Information Theory
• +۳ مورد دیگر

Eric Lutz is a Professor and Director of the Institute for Theoretical Physics I at the University of Stuttgart. His research focuses on quantum thermodynamics, nonequilibrium statistical mechanics, and quantum information theory. He leads the Lutz group, which explores topics such as quantum heat engines, fluctuation theorems, and the thermodynamics of computation. Recent work includes studies on quantum synchronization, algorithmic cooling, and non-equilibrium processes in cold-atom systems. Research interests span quantum coherence, energy efficiency in nanoscale systems, and the intersection of quantum mechanics with information theory. His experimental collaborations involve testing fluctuation theorems and developing quantum refrigeration techniques. Lutz’s contributions bridge theoretical and applied quantum physics, with applications in nanotechnology and biological systems. Notable trends in his publications include advancements in quantum heat engine performance, the role of quantum correlations in thermodynamic processes, and the exploration of foundational principles like Landauer’s erasure principle. His work often involves interdisciplinary collaborations, combining theoretical models with experimental validation in quantum optics and condensed matter systems.

Susumu Shikanoمشاهده پروفایل

استاد

• Political Methodology
• Bayesian Statistics
• Electoral Systems
• +۲ مورد دیگر

Susumu Shikano is Professor of Political Methodology at the University of Konstanz’s Department of Politics and Public Administration. He directs the interdisciplinary Master’s program in Social and Economic Data Science (SEDS) and leads research projects on electoral systems and behavioral decision-making. His research integrates Bayesian statistics , experimental methods, and formal modeling to analyze political behavior, administrative delegation, and electoral dynamics. Key themes include voter perceptions of party competition, behavioral consequences of public service motivation, and methodological innovations in multilevel analysis. Recent experimental work explores visual influences in voting, risk aversion in bureaucracy, and misinformation during health crises. Publications emphasize quantitative rigor, with applications to European and German political contexts. Shikano teaches graduate courses in Bayesian models, survey design, and causal inference. He currently investigates inequities in online information-seeking via an NDTP-funded project.

• Fluid Dynamics
• Porous Media
• Environmental Engineering
• +۷ مورد دیگر

Holger Class is an Adjunct Professor and Deputy Head of the Department at the University of Stuttgart , specifically within the Department of Hydromechanics and Modelling of Hydrosystems . His academic career includes a Diplom (1997), doctoral degree (2000), and habilitation (2008), all in engineering. Since 2004, he has held research and teaching roles at the University of Stuttgart's Institute for Modelling Hydraulic and Environmental Systems. His research focuses on fluid dynamics, porous media processes, and CO2 sequestration. Key interests include multiphase flow modeling, density-driven dissolution, and karst hydrology. He has contributed to developing numerical models like DuMux and pioneered studies on enzymatically induced calcite precipitation. Teaching includes modules on fluid mechanics, environmental fluid dynamics, and multiphase modeling in porous media. He has advised on projects involving microfluidic experiments, hydraulic simulations, and geochemical processes. Awards include the 1999 John F. Kennedy Student Paper competition first prize and the 2006 University of Stuttgart Environmental Engineering award for teaching excellence. Research Impact : His work bridges numerical modeling with experimental validation, addressing challenges in subsurface flow, CO2 storage, and geomechanical processes. Collaborations span academic and industrial sectors, emphasizing interdisciplinary solutions for environmental and energy challenges.

• Hydrology
• Groundwater Modelling
• Bayesian Methods
• +۵ مورد دیگر

Wolfgang Nowak is a Professor and Head of the Institute for Modelling Hydraulic and Environmental Systems at the University of Stuttgart. He also serves as Co-spokesperson of the Cluster of Excellence EXC 2075 'Data-Integrated Simulation Sciences'. His research focuses on stochastic simulation, uncertainty quantification, and safety research in hydraulic systems. He leads interdisciplinary projects involving Bayesian methods, machine learning, and computational modeling for environmental and geoscience challenges. His work integrates advanced statistical techniques with physical models to address hydrological processes, contaminant transport, energy systems optimization, and subsurface modeling. Notable contributions include developing hybrid machine learning-physics models (e.g., HydroStartML) to improve hydrological modeling efficiency and Bayesian inference frameworks for parameter estimation in complex systems. Key research areas include groundwater modeling, subsurface contaminant transport, climate change impact analysis, and energy-water nexus studies. He collaborates with international teams on projects like radioactive waste repository safety and renewable energy integration. His publications span high-impact journals in hydrology, environmental science, and computational methods.

• Hydraulic Engineering
• Sediment Transport
• Environmental Engineering
• +۳ مورد دیگر

Prof. Silke Wieprecht is a leading academic in hydraulic engineering and water resources management at the University of Stuttgart, serving as Head of the Department of Hydraulic Engineering and Water Resources Management and Vice Rector for Diversity and Internationalization. She holds a PhD from the University of Federal Armed Forces Munich and has over 30 years of experience in research, education, and international collaboration. Her expertise spans sediment transport, river morphology, ecohydraulics, and sustainable water resource management. Prof. Wieprecht has led numerous international research projects and chairs key committees like the DWA steering committee for Hydraulic Engineering and Hydropower. She has received prestigious awards for her research and teaching, including the 2019 Qian Ning Prize and multiple teaching excellence awards from the University of Stuttgart. Her research focuses on interdisciplinary approaches to address global challenges in sediment management and climate change impacts. She has authored over 100 peer-reviewed articles, developed novel methodologies for sediment erosion detection (e.g., PHOTOSED), and pioneered the use of Bayesian calibration in sediment transport modeling. Prof. Wieprecht actively contributes to international associations such as IAHR and WASER, promoting global collaboration in hydro-environmental research. Key achievements include advancing understanding of biofilm-induced sediment stability, developing habitat models for fish conservation (CASiMiR), and leading the CHARM project on reservoir management sustainability. She oversees the International Master’s Program WAREM and has coordinated student exchange programs between Stuttgart and Cardiff University. Her work bridges engineering, ecology, and policy to ensure resilient water systems in the face of environmental and societal changes.

• Social Choice Theory
• Proportional Representation Systems
• Voting Systems
• +۳ مورد دیگر

Alexander Viktorovich Karpov is an Assistant Professor in the Department of Theoretical Economics at the Faculty of Economic Sciences, National Research University Higher School of Economics (HSE). He is also a Senior Research Fellow at the International Centre of Decision Choice and Analysis. Since joining HSE in 2007, he has held roles including Lecturer, Teaching Assistant, and PostDoc at Heidelberg University (2015–2016). His academic journey includes a Candidate of Sciences (PhD) in Mathematical and Instrumental Methods in Economics (2012) and degrees from HSE’s economics programs. Research Interests: Focus on Social Choice Theory, Proportional Representation Systems, Voting Rules, and Preference Structures. Recent work explores axiomatic foundations of voting mechanisms, Condorcet domains, and computational aspects of election design. Current projects include game-theoretic justifications for proportional representation and analysis of voting in corporate governance. Publications: Over 40 peer-reviewed articles in journals like Theory and Decision , Journal of Mathematical Psychology , and Group Decision and Negotiation . Recent work emphasizes theoretical advancements in structured preferences and election complexity, reflecting his expertise in bridging mathematics and social sciences. Awards: Recipient of the 2023 HSE Best Russian Research Paper Award, 2012 Best Teacher Prize, and multiple grants for high-impact publications. His contributions to academic excellence are recognized through HSE’s Young Faculty Support Programme (2011–present). Advising & Grants: Supervised 3 PhD/Master’s students on topics like network markets and voting systems. Active in international collaborations, including postdocs at Nanyang Technological University (Singapore) and TU Berlin. Editor roles include Journal of the New Economic Association and Group Decision and Negotiation . Labs/Teams: Core member of the International Centre for Analysis and Decision Making, leading projects on collective choice and decision theory. Participates in global conferences like the Group Decision and Negotiation (GDN) and Society for Social Choice and Welfare (SSCW).>

Johannes Betzمشاهده پروفایل

استاد

• Autonomous Systems
• Vehicle Control
• Machine Learning
• +۳ مورد دیگر

Prof. Dr. Johannes Betz is a Rudolf Mößbauer Professor at the Technical University of Munich (TUM), leading the Chair of Autonomous Vehicle Systems within the Department of Mobility Systems. His research focuses on software development for autonomous vehicles, emphasizing algorithms for environmental perception, path planning, and control to enable safe, efficient autonomous operation. He holds a B.Eng. and M.Sc. in Automotive Engineering from Coburg University and the University of Bayreuth, followed by a Ph.D. in Engineering from TUM (2019). Notable achievements include founding the TUM Autonomous Motorsport Team, which won the Indy Autonomous Challenge ($1M prize), and extensive postdoc work at TUM and the University of Pennsylvania. Education: B.Eng., Automotive Engineering, Coburg University of Applied Sciences (2013) M.Sc., Automotive Engineering, University of Bayreuth (2013) Ph.D. in Engineering, Technical University of Munich (2019) Research Interests: Autonomous vehicle software architecture Real-time trajectory and behavior planning Adaptive control for high-performance systems Simulation and validation frameworks Ethics of autonomous decision-making Awards: IEEE ITS Young Professional Travel Fellowship (2022) 1st Place, Indy Autonomous Challenge (2021) New Generation Star Project Award (2024) Outstanding Reviewer Award (2024) Labs & Teams: TUM Autonomous Motorsport Team (race competition leader) AVS Lab (Autonomous Vehicle Systems)

Markus Lienkampمشاهده پروفایل

استاد

• Electromobility
• Autonomous Driving
• Driver Assistance Systems
• +۳ مورد دیگر

Prof. Markus Lienkamp is a Professor and Chair of Automotive Engineering at the Technical University of Munich (TUM), leading research in electromobility, autonomous driving, and vehicle systems. He holds a doctorate in Materials Science from TU Darmstadt and has extensive industry experience at Volkswagen Group Research, where he managed teams and budgets up to €40M. His roles include Scientific Director of the Munich School of Engineering and the CREATE project in Singapore. He chairs the VDI Association for Automotive and Traffic Engineering and serves on TÜV Süd's Board. Key research focuses include driver assistance systems, electric vehicle concepts (e.g., Visio.M, aCar), and battery technology. He has over 500 publications, 30 patents, and founded 10 start-ups from his institute. Awards include the Heinz Maier-Leibnitz Medal (2014) and the IEEE Outstanding ITS Application Award (2022). His projects span global collaborations, rural electrification in Africa, and high-profile racing competitions like the Indy Autonomous Challenge ($1M win, 2021). Research infrastructure includes the TUM Autonomous Motorsport team, TUM.Battery initiative, and the M Cube Future Cluster (2021–2030). His work emphasizes sustainable mobility solutions, energy systems integration, and advancing autonomous vehicle technologies through interdisciplinary approaches.

• Nuclear Physics
• Quantum Computing
• Effective Field Theory
• +۳ مورد دیگر

Eduardo A. Coello Perez is a Researcher at Oak Ridge National Laboratory (ORNL), where he has held a JUNIOR position since 2022. Previously, he was a POSTDOC at Lawrence Livermore National Laboratory (LLNL, 2019) and Technische Universität Darmstadt (2016-2019). His research focuses on nuclear physics, quantum computing applications, and effective field theories for nuclear systems. Key areas include collective excitations in atomic nuclei, quantum algorithms for fluid dynamics, and neutrinoless double-beta decay studies. Collaborations include the LZ and XENON collaborations. His work bridges theoretical nuclear physics with computational methods, emphasizing precision calculations and interdisciplinary approaches. Notable contributions include studies on rotational bands in odd-mass nuclei and the integration of quantum computing resources into high-performance computing ecosystems. His publications span journals like Physical Review C , Journal of Physics G , and Future Generation Computer Systems .