Distributed Event-Based Systems Professors and Supervisors in Germany

Emilia Fridmanمشاهده پروفایل

استاد

Leipzig UniversityGermany

Emilia Fridman is a Professor at the School of Electrical Engineering, Tel Aviv University, specializing in time-delay systems , networked control systems , and distributed parameter systems . Her work bridges robust control , singular perturbations , and nonlinear control , with over 200 journal papers and three monographs. PhD in Mathematics from Voronezh State University (1986) Highly Cited Researcher (2014) and IEEE/IFAC Fellow Recipient of the IFAC Harold Chestnut Prize (2023) and Kadar Family Award (2021) Her research focuses on stability analysis and control design for systems with delays, including sampled-data control , networked systems under communication constraints , and predictor-based methods for input delays . She has developed discretized Lyapunov functionals and descriptor system approaches to address robustness in time-delay systems. Recent publications emphasize finite-dimensional control of PDEs , event-triggered control , and extremum seeking with delays . Her group has secured grants from the Israel Science Foundation (ISF) and collaborates globally on distributed control and stochastic systems . Scientific Awards : IFAC Harold Chestnut Control Engineering Textbook Prize 2023 IEEE Fellow (2014) IFAC Delay Systems Life Time Achievement Award (2021) Stanford University Top 0.03% in Industrial Engineering & Automation (2022) Advising : Mentored over 15 PhD students including Kun Liu, Anton Selivanov, and Rami Katz. Her editorial roles include Automatica and SIAM Journal on Control and Optimization .

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Stefan Sosnowskiمشاهده پروفایل

پژوهشگر ارشد

Technical University of MunichGermany

Stefan Sosnowski is a Research Fellow at the Chair of Information-Oriented Control, Technical University of Munich (TUM). He has been affiliated with TUM since 2007, including roles as a research assistant and PhD candidate. His work spans Control Systems , Robotics , and Human-Robot Interaction . PhD in Electrical Engineering (2014), TUM Diploma Engineer (2007), TUM B.Sc. in Electrical Engineering (2005), TUM His research focuses on Data-driven Control (e.g., Koopman Operator theory, Gaussian Processes), Human-Centered Control , and Bio-inspired Design for autonomous systems. Recent publications emphasize learning-based control frameworks and stability analysis for nonlinear systems. Notable projects include SeaClear2.0 , CO-MAN , and ReHyb . He coordinates external theses at ITR and has an Erdős number of 4.

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Danijela Dimitrijevićمشاهده پروفایل

پژوهشگر

University of Erlangen–NurembergGermany

Danijela Dimitrijević is a Postdoctoral Researcher in the Chair of Palaeontology at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). Her work focuses on the evolutionary and ecological dynamics of marine reef communities across deep time, particularly the morphological trait evolution of scleractinian corals and their responses to climate upheavals. Education: PhD in Paleontology (FAU, 2024) International Master in Geosciences: Palaeobiology (FAU, 2021) International Master in Applied Ecology (EMMC-IMAE, 2015) BSc in Geospatial and Environmental Science (University of Belgrade, 2011) Research Interests: Danijela investigates coral reef evolution , trait-based extinction risk , and marine community responses to hyperthermal events . Her projects integrate quantitative trait analysis (e.g., corallite size) with paleoclimatic data to assess long-term ecological resilience. She also co-developed the Ancient Reef Traits (ART) database for global reef-building organism data. Publication Trends: Recent work spans census-based reef carbonate production , bioerosion patterns in Triassic corals , and trait decoupling in extinction events . She emphasizes open science and data equity in paleontological research. Fieldwork & Collaboration: Active in field studies (e.g., Silurian reefs in Sweden) and international collaborations, Danijela bridges geological history with modern conservation challenges through interdisciplinary research and science communication initiatives.

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Kurt Rothermelمشاهده پروفایل

استاد

University of StuttgartGermany

Prof. Kurt Rothermel is a faculty member at the University of Stuttgart, specifically affiliated with the Institute for Parallel and Distributed Systems (IPVS) within the Faculty of Computer Science, Electrical Engineering, and Information Technology. His research focuses on distributed systems with particular expertise in time-sensitive networking, networked control systems, and complex event processing. Prof. Rothermel's research interests span multiple areas in distributed computing and networking: Distributed Systems and Networked Control Systems Time-Sensitive Networking and Deterministic Networking Quality of Service (QoS) Management and Optimization Complex Event Processing and Stream Analytics Edge Computing and Real-Time Video Analytics Digital Twin Systems and Proximity-based Services His recent publications (2022-2025) demonstrate a strong focus on time-sensitive networking, with numerous papers addressing scheduling algorithms, conflict graph creation, and latency management for time-triggered communication. There's also significant work on load shedding techniques for resource-constrained environments, particularly for real-time video analytics at the edge. His research increasingly incorporates digital twin systems and explores novel approaches for distributed mobile simulation, as evidenced by his "Persival" framework for handling 3D meshes on AR devices. Prof. Rothermel has made substantial contributions to the field of complex event processing, developing multiple shedding strategies (gspice, hSPICE, pspice) to manage resource constraints while maintaining utility. His work bridges theoretical networking concepts with practical applications in industrial settings, particularly evident in his research on networked control systems and time-sensitive software-defined networks.

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Hartwig Frimmelمشاهده پروفایل

استاد

Julius-Maximilians-Universität WürzburgGermany

Hartwig Frimmel is a Professor and Chair of Geodynamics and Geomaterials Research at the Institute of Geography and Geology, University of Würzburg. With an extensive academic career spanning over three decades, he has held positions at the University of Cape Town and the University of Vienna before his current appointment since 2007. His research focuses on economic geology, mineral resources, and Precambrian geology, with particular emphasis on gold deposit genesis and geodynamic processes. PhD in Geology and Petrology, University of Vienna (1987) Professor Frimmel's research interests span multiple domains of economic and Precambrian geology. His work on the genesis of the Witwatersrand gold deposits has significantly contributed to the ongoing debate about one of the most economically significant gold districts in history. He has developed a modified paleoplacer model that explains the available data on these deposits. His research extends to sediment-hosted base metal deposits, geodynamic evolution of southwestern Gondwana, Precambrian palaeoclimate reconstruction, and high-grade metamorphic terranes in Antarctica. His recent work increasingly incorporates machine learning techniques for mineral exploration and resource evaluation. An analysis of Professor Frimmel's recent publications reveals a strong focus on gold deposit genesis across different geological settings and time periods, with particular attention to the Witwatersrand Basin in South Africa. His work combines traditional geological methods with advanced geochemical and isotopic techniques, including detailed studies of fluid inclusions, trace element analysis, and zircon geochronology. There's also a growing trend toward integrating machine learning algorithms with traditional geological methods for resource estimation and exploration targeting. Member of the Academy of Geosciences and Geotechnologies, Germany Founding member of the Bavarian Georesources Centre (BGC) President of the Society for Geology Applied to Mineral Deposits (SGA) 2006-2007 Voting member of the Cryogenian subcommission of the international Commission on Stratigraphy (ICS) Goodwill ambassador of the Geological Society of Africa (GSAf) 2011-2017 Professor Frimmel has served in numerous advisory capacities, including as Advisor to the European Commission's European Innovation Partnership on Raw Materials (2013-2017) and as Dean for student affairs at the University of Würzburg (2013-2016). His research has been supported through various international collaborations and projects, including participation in the South African National Antarctic Programme and the DFG-supported priority programme on Antarctic research. He has coordinated international field workshops and short courses, demonstrating his commitment to advancing geological knowledge globally. As Chair of Geodynamics and Geomaterials Research, Professor Frimmel leads a research group focused on understanding the formation and evolution of mineral deposits within their broader geodynamic context. His team has conducted field studies across multiple continents, including Africa, Antarctica, South America, and Asia, contributing to our understanding of global geologic processes and resource distribution.

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Praveen Kumar Raiمشاهده پروفایل

پژوهشگر

Julius-Maximilians-Universität WürzburgGermany

Dr. Praveen Kumar Rai is a Researcher at the Institute of Geography and Geology , University of Würzburg, focusing on climatology and environmental systems. He is based in the Climatology Working Group - Team Climate at Hubland Campus, Room 209, and holds an ORCID (0000-0001-8348-1150). His research spans monsoon meteorology, land-atmosphere interactions, ocean dynamics, and tropical climate variability, with particular emphasis on weather and climate extremes. Academic Background PhD in Environmental Sciences (2014–present), School of Environmental Sciences, Jawaharlal Nehru University (JNU), New Delhi, supervised by Prof. A. P. Dimri M.Sc. in Environmental Science (2014), JNU B.Sc. (Honours) in Chemistry (2009–2012), Banaras Hindu University Research Projects MOSAIC : Investigates irrigation impacts on South Asian hydrological cycles and monsoon dynamics using high-resolution (12 km) and convection-resolving (3 km) simulations with REMO model WE-ACT : Supports equitable transboundary water allocation through climate risk-aware planning BigData@Geo 2.0 : Enhances climate resilience for Bavarian agricultural SMEs (2023–2027, EFRE-funded) HYDRASIA (2019–2022): Analyzed Central Asian hydrology with novel irrigation and lake schemes in regional climate models Publication Trends show consistent contributions to understanding monsoon systems across South/Central Asia, with methodological advances in regional climate modeling, vegetation interaction analysis, and extreme event projections using CORDEX/RCM frameworks. Technical Expertise includes Google Earth Engine, REMO/REMO-iMOVE/RegCM4 modeling systems, EEMD-based time series analysis, and climate anomaly diagnostics. Active in international conferences like EGU General Assembly and ICRC-CORDEX.

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Arno Riffeserمشاهده پروفایل

پژوهشگر

Max Planck Institute for Extraterrestrial PhysicsGermany

Astronomy
Astrophysics
Cosmology
+۲ مورد دیگر

Dr. Arno Riffeser is a Researcher at the Max Planck Institute for extraterrestrial Physics (MPE) in Garching, Germany, a premier institution dedicated to exploring cosmic phenomena beyond Earth's atmosphere through advanced observational and theoretical methods. His research spans Astronomy, Astrophysics, Cosmology, Galactic Astronomy, and Extragalactic Astronomy, focusing on unraveling fundamental processes governing stellar systems, galactic structures, and the universe's evolution using cutting-edge instrumentation and data analysis techniques. As part of MPE's collaborative international research ecosystem, Dr. Riffeser contributes to major space missions and ground-based observatory projects, leveraging the institute's state-of-the-art facilities to advance understanding of high-energy astrophysical events and cosmic matter distribution.

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Fuyuki Ishikawaمشاهده پروفایل

دانشیار

Max Planck Institute for Security and PrivacyGermany

Fuyuki Ishikawa is an Associate Professor at the Information Systems Architecture Science Research Division of the National Institute of Informatics (NII) in Tokyo, Japan, where he also serves as Director of the GRACE Center. Additionally, he holds positions as Associate Professor at Sokendai (The Graduate University for Advanced Studies) and Visiting Associate Professor at The University of Electro-Communications. His research program, which he describes as 'Trustworthy & Smart Software Engineering,' focuses on dependability in Cyber-Physical Systems and Machine Learning Systems through techniques of formal methods and automated test generation. He investigates verification, reasoning, optimization, automated test generation, and self-adaptation by utilizing various models for requirements, specifications, and designs. His group promotes international and industry-academia collaborations with members from different organizations. Ishikawa's recent work has increasingly concentrated on quantum program testing, autonomous driving systems verification, and quality assurance frameworks for AI systems. His publications demonstrate significant contributions to software engineering, particularly in applying formal methods to emerging domains like quantum computing and machine learning. His research often bridges theoretical foundations with practical applications in safety-critical contexts, particularly for autonomous systems. Awards for Science and Technology (Research Category) from the Minister of Education, Culture, Sports, Science and Technology (April 2024) IPSJ/IEEE Computer Society Young Researcher Award for 'Research on Intelligence-driven Engineering of Dependable Smart Systems' (March 2020) Multiple Best Paper Awards at conferences including ICFEM 2020, SEKE 2020, ICECCS 2019, and ISSRE 2019 Industry Track Best Artifact Award at ISSTA 2015 Ishikawa actively supervises research projects and interns through the ERATO-MMSD Project and MIRAI-eAI Project. He has served on numerous program committees for major software engineering conferences including ASE, ICSE, and ICST, and has organized workshops on machine learning systems engineering (SIG-MLSE) and quality assurance for AI systems (QA4AI). His laboratory provides two main research directions: generative AI for trustworthy software engineering and testing/trust exploration for AI systems, with specific focus on autonomous driving and deep learning applications.

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Carolin Liefkeمشاهده پروفایل

پژوهشگر

Max Planck Institute for AstronomyGermany

Dr. Carolin Liefke serves as Deputy Managing Scientist at the Haus der Astronomie (Center for Astronomy Education and Outreach) in Heidelberg and Deputy Director of the International Astronomical Union Office of Astronomy for Education. With over 20 years of experience in astronomy education and outreach, she has been a research associate at Haus der Astronomie since 2010 and became Germany's National Outreach Coordinator for the IAU in 2020. Dr. Liefke's work focuses on bridging professional astronomy with educational practice through multiple initiatives including astronomy courses for pre-service physics teachers at the University of Heidelberg, the 'Telescope Driver's Licence' teacher training program, the HdA partner school network, and the IASC Pan-STARRS asteroid search program that enables students to discover asteroids using telescope time in Hawaii. She also coordinates programs for gifted students, high school research opportunities, and public events at Haus der Astronomie. Her research background in stellar activity and X-ray astronomy informs her educational approach, though her current work emphasizes translating astronomical research into accessible educational content. The 15 most recent publications in her portfolio demonstrate a clear shift from refereed astronomy research papers to educational materials, reflecting her career transition toward specializing in astronomy education. National Outreach Coordinator for Germany of the International Astronomical Union (since 2020) Executive board member of Vereinigung der Sternfreunde (German amateur astronomy association) Regular contributor to astronomy education journals and publications Author of numerous educational materials for teachers and students Active science communicator through social media and public events Dr. Liefke teaches multiple seminars annually at the University of Heidelberg for pre-service physics teachers, covering topics from basic astronomy concepts to current research headlines. Her educational philosophy emphasizes hands-on experience with real astronomical data and equipment, as evidenced by her development of the 'Telescope Driver's Licence' program that trains teachers to use school telescopes effectively. At Haus der Astronomie, she works within the MPIA-Campus infrastructure to create educational experiences that connect students and teachers with cutting-edge astronomical research while making complex concepts accessible to diverse audiences.

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Frank Allgöwerمشاهده پروفایل

استاد

University of StuttgartGermany

Frank Allgöwer is a Professor and Head of the Institute for Systems Theory and Control Engineering at the University of Stuttgart's Faculty of Engineering. With an extensive publication record through 2025, he leads a prominent research group specializing in advanced control theory methodologies. His research interests span multiple domains of modern control theory, with particular emphasis on Model Predictive Control (MPC), data-driven control approaches, nonlinear systems analysis, and event-triggered control strategies. His work bridges theoretical foundations with practical implementations, focusing on stability guarantees, performance optimization, and computational efficiency. Recent research shows a strong focus on Koopman operator theory applications to control systems, distributed multi-agent coordination, and the integration of machine learning techniques with traditional control frameworks. Analysis of his 15 most recent publications reveals a consistent research trajectory centered around developing theoretically sound control methodologies with practical applicability. His work demonstrates increasing integration of data-driven approaches with traditional model-based control, particularly in the areas of nonlinear system control and distributed multi-agent systems. The publications span top-tier control journals including IEEE Transactions on Automatic Control, Automatica, and IEEE Control Systems Letters. Professor Allgöwer actively mentors numerous junior researchers, with frequent collaborations suggesting a strong supervisory role for PhD students and postdoctoral researchers. His group maintains productive international collaborations while being firmly rooted at the University of Stuttgart.

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Sebastian Sieglochمشاهده پروفایل

استاد

Max Planck Institute for Research on Collective GoodsGermany

Sebastian Siegloch is a Professor of Economics at the University of Cologne, where he serves as Head of the Department of Economics and Director at the FiFo Institute for Public Economics. He is also a member of the DFG Excellence Cluster ECONtribute, a joint initiative of the Universities of Cologne and Bonn. His extensive research network includes fellowships at CEPR, CESifo, CReAM, and IZA, as well as a Research Associate position at ZEW. Professor Siegloch's research focuses on the intersection of Public, Labor, and Urban Economics, examining how economic policies affect market outcomes and shape inequality. His methodological approach emphasizes the use of large datasets and quasi-experimental variation to identify causal effects. Key research areas include taxation (corporate, profit, and property taxes), social insurance systems (particularly disability insurance), housing policy, and regional economic development. His publication record demonstrates exceptional quality, with articles in top journals including Econometrica, American Economic Review, and American Economic Journal: Economic Policy. Recent work includes influential studies on disability insurance privatization, regional firm subsidies, and the effects of property taxation. His 2025 Econometrica paper on disability insurance represents particularly significant contributions to understanding public-private insurance interactions. ERC Starting Grant (2021) for project 'Housing, Inequality and Public Policies (HIPPO)' Multiple publications in top-5 economics journals Extensive research network across European institutions Professor Siegloch's research has important policy implications for tax design, social safety nets, and regional development strategies. His work on disability insurance privatization provides crucial insights for welfare systems facing fiscal pressures, while his research on property taxation offers evidence-based guidance for housing market interventions. His methodological contributions, particularly in event study designs, have advanced empirical approaches across multiple economics subfields.

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Wei Chenمشاهده پروفایل

استاد

Max Planck Institute for Security and PrivacyGermany

Wei Chen is a Research Fellow at the Institute of Software, Chinese Academy of Sciences, where he serves as a PhD and Master's supervisor. He leads the Software Engineering Technology R&D Center and maintains affiliations with the University of Chinese Academy of Sciences and its Nanjing College. Dr. Chen has established himself as a leading figure in intelligent software engineering research within China's academic community. His primary research focuses on four interconnected areas: intelligent code maintenance and quality assurance (particularly Python ecosystem compatibility based on domain knowledge), reliability assurance of complex IoT systems in human-machine-object convergence scenarios, cloud-native system development with emphasis on Function-as-a-Service optimization, and quality assurance of deep learning frameworks in resource-constrained environments. Dr. Chen's work consistently bridges theoretical advances with practical applications, maintaining strong industry collaborations with major Chinese technology companies. Analysis of Dr. Chen's recent publications reveals a strategic integration of AI techniques with traditional software engineering challenges. His research shows increasing emphasis on leveraging large language models for IoT component synthesis, sophisticated dependency management solutions for Python ecosystems, and innovative approaches to testing autonomous systems. The work demonstrates both theoretical depth and practical utility, with many publications leading to implemented tools and systems. Second Prize of Science and Technology Progress Award of China Institute of Electronics (2022) First Prize of Science and Technology Progress Award of China Institute of Electronics (2021) ACM SIGSOFT Distinguished Paper Award (2023) Special Prize of the 4th China Software Open Source Innovation Competition (2021) First Prize in the 4th China Software Open Source Innovation Competition (2021) OW2 Programming Contest First Prize (2016) Dr. Chen has mentored over ten graduate students who have achieved notable success in academic competitions and industry placements. His laboratory (TCSE, http://tcse.cn/) currently manages multiple significant research projects including 'Complex IoT System Reliability Assurance Key Technology Research' (2025-2028), 'Intelligent Development, Testing, and Maintenance of Cloud-native Software Ecosystems' (2024-2027), and 'Traffic Infrastructure Digital Industrial Software Architecture and Core Technology Standard System' (2021-2024). The lab maintains active collaborations with Huawei, Alibaba, Tencent, and other leading technology enterprises.

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Nira Libermanمشاهده پروفایل

استاد

Max Planck Institute for Research on Collective GoodsGermany

Nira Liberman is a Professor of Social Psychology at Tel Aviv University, where she has been a faculty member since 2001. She completed all her formal education at Tel Aviv University, earning her Bachelor's degree in Psychology and Comparative Literature, Master's degree in Social Psychology, and PhD in 1997. She also completed postdoctoral work at Columbia University and taught at Indiana University, Bloomington before returning to Tel Aviv University. Professor Liberman's research focuses on psychological distance and its effects on decision making, evaluation, motivation, and mental representation. She is particularly known for her work on Construal Level Theory (CLT), which examines how psychological distance influences cognitive processing. Her research also extends to Obsessive-Compulsive Disorder (OCD), where she developed the Seeking Proxies for Internal States (SPIS) model, as well as to essentialism, disgust, and conservatism. Her Social Psychology Lab investigates how people mentally traverse beyond the immediate 'here and now' to consider future and past time, distant locations, other people, and hypothetical (counterfactual) events. The lab examines what enables such expansion of mental scope and the consequences of this expansion, including how psychological distancing affects cognitive performance, working memory, and decision making. Professor Liberman's publication record shows consistent productivity across multiple domains of psychology. Her recent work continues to explore the intersection of Construal Level Theory with OCD mechanisms, moral judgment, and cognitive performance. Her research demonstrates strong theoretical integration across social, cognitive, and clinical psychology domains, with particular attention to the embodied and neural correlates of abstract thinking. Professor Liberman has established productive collaborations with researchers worldwide, most notably with Yaacov Trope with whom she has co-authored numerous foundational papers on Construal Level Theory. Her work has been published in top-tier psychology journals including Journal of Personality and Social Psychology, Psychological Review, and Journal of Experimental Psychology. Her lab continues to investigate fundamental questions about how people navigate between proximal and distal concerns, how abstraction enables traversing psychological distance, and how these processes relate to clinical phenomena like OCD. Professor Liberman's research program represents a sophisticated integration of basic cognitive processes with real-world applications in clinical and social domains.

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Ralf Brunsمشاهده پروفایل

استاد

Hannover University of Applied Sciences and ArtsGermany

Prof. Dr. Ralf Bruns is a full-time Professor in the Department of Computer Science at the Faculty of Business and Information Technology, Hannover University of Applied Sciences and Arts. His office is located at Ricklinger Stadtweg 120, 30459 Hanover, with direct contact available via phone (+49 511 9296 1817) and email. His research focuses on cutting-edge computational methodologies including: Real-time data stream processing systems Bio-inspired algorithms ( evolutionary and swarm intelligence ) Machine learning applications in enterprise systems Semantic Web technologies for knowledge representation Software architecture patterns for event-driven systems Complex Event Processing (CEP) frameworks His publications demonstrate a consistent focus on event-driven architectures applied to logistics, healthcare, IoT, and urban mobility systems. Recent work emphasizes agent-based modeling and real-time analytics for decision support in dynamic environments. Prof. Bruns leads two key research initiatives: the Software Architecture Working Group (AG SWA) and the Smart Data Analytics Research Cluster . He also serves as faculty representative in the Fachbereichstag Informatik (FBTI) and contributes to academic selection committees.

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