جستجوی استاد راهنمای دانشگاهی

Martin Schulzمشاهده پروفایل

استاد

• Parallel and Distributed Architectures
• Performance Monitoring and Analysis
• Memory System Optimization
• +۴ مورد دیگر

Prof. Martin Schulz is a Full Professor and Chair for Computer Architecture and Parallel Systems at Technische Universität München (TUM), joining in 2017. He also serves on the board of directors at the Leibniz Supercomputing Centre. Previously, he worked at Lawrence Livermore National Laboratory (LLNL) and Cornell University. His research focuses on parallel architectures, quantum computing integration, HPC optimization, and fault tolerance. He has published over 250 papers and chairs the MPI Forum, a key standard in HPC. Education: Doctorate in Computer Science (TUM, 2001), Master of Science (UIUC). Research Interests: Parallel systems, performance analysis, quantum computing, memory optimization, and tool support for HPC. Awards: Gordon Bell Award (2006), R&D 100 Award (2011), Best Paper Awards at IPDPS and SC. Grants/Projects: SEANERGYS, PlasmaPEPS, OpenCUBE, and others. Active in academic service, including program chairs for ISC, EuroMPI, and IPDPS.

Bernhard Rabeمشاهده پروفایل

پژوهشگر

• Embedded Systems
• Mobile Systems
• Distributed Systems
• +۷ مورد دیگر

Bernhard Rabe is a researcher at the Hasso Plattner Institute (HPI), University of Potsdam, affiliated with the Professorship for Operating Systems and Middleware. He has been actively involved in research and teaching since 2002, focusing on embedded and mobile systems, distributed control labs, and scripting languages. His research interests span embedded systems, mobile computing, cloud software quality, remote laboratories, and .NET technologies for constrained environments. He has contributed significantly to the design and optimization of self-contained CLI assemblies and real-time control in distributed lab environments. The publication trends show a consistent focus on distributed systems, remote experimentation, and software architecture for embedded and cloud platforms. His work bridges academic research with practical applications in e-learning and industrial control systems. Bernhard Rabe has served in organizational and editorial roles for several workshops, including VIRTUAL-LAB and WoRD, and has reviewed for conferences in pervasive technologies and e-learning. He has co-authored technical reports and proceedings, contributing to the academic community through knowledge dissemination. He has contributed to multiple research projects such as the Distributed Control Lab, 64-Bit Laboratory, Lego.NET, and Vet-Trend, demonstrating a strong engagement with applied computing and system integration.

Max Bannachمشاهده پروفایل

پژوهشگر ارشد

• Parameterized Algorithms
• Descriptive Complexity
• Logic-Based Optimization
• +۸ مورد دیگر

Dr. Max Bannach is a Research Fellow in Computer Science and Applied Mathematics at the European Space Agency's Advanced Concepts Team in Noordwijk, Netherlands. Prior to this role, he completed his Ph.D. at Universität zu Lübeck under Prof. Dr. Till Tantau. His work bridges theoretical insights in structural graph theory with practical applications in highly parallel optimization, including space mission planning and quantum computing. Education: Ph.D. in Computer Science (Universität zu Lübeck, Germany) Max Bannach's research focuses on parameterized algorithms, descriptive complexity, and logic-based optimization. He explores problems with tree-like structures via treewidth, leveraging Courcelle's theorem to develop efficient algorithms. His work extends to space applications, neuromorphic hardware, and quantum computing, aiming to integrate theoretical logic with real-world challenges. His recent publications span conferences like STACS, NFM, IAC, GECCO, and IPEC. Key topics include automated reasoning, MaxSAT variants, structural decomposition, and structural parameterization. He has organized computational challenges like PACE and SpOC, contributing to the advancement of exact and parallel algorithms. Dr. Bannach's collaborative efforts include projects with the European Space Agency, technical teams at conferences, and academic institutions like Universität zu Lübeck. He maintains active participation in program and steering committees for PACE and SpOC.

Thomas Zeiserمشاهده پروفایل

پژوهشگر

• High-Performance Computing
• Lattice Boltzmann Methods
• Computational Fluid Dynamics
• +۳ مورد دیگر

Dr. Thomas Zeiser serves as Head of Systems & Services and Chief Operating Officer HPC at NHR@FAU (Center for National High Performance Computing Erlangen) at Friedrich Alexander University Erlangen-Nuremberg. He leads the Systems & Services group of NHR@FAU and HPC4FAU since the end of 2020 and serves as deputy for NHR@FAU in the NHR Betreiberausschuss. His work focuses on transitioning from serving FAU only to national center operations, managing HPC systems, procuring new infrastructure, financial controlling of NHR@FAU's budgets, and supporting planning for a new data center building. Dr. Zeiser's research interests center around High-Performance Computing with specific expertise in Lattice Boltzmann Methods , large-scale simulations, evaluation of HPC hardware and software, and efficient operation of HPC systems. His work bridges the gap between theoretical computational methods and practical implementation in high-performance environments. He has implemented the first job-based job and performance monitoring for RRZE's HPC systems and has extensive experience in procurement of HPC infrastructure. Analysis of Dr. Zeiser's publication record reveals a consistent focus on practical applications of computational methods in HPC environments. His research demonstrates a progression from fundamental lattice Boltzmann method development toward increasingly complex system-level concerns including fault tolerance, performance monitoring, energy efficiency, and scalable implementations. The publications show strong collaboration patterns with researchers at FAU and other German institutions, particularly in the areas of computational fluid dynamics and parallel computing. Dr. Zeiser regularly serves as a reviewer for various journals and compute time commissions of different HPC centers. He is also one of the local organizers for the Ferienakademie of TUM, FAU, and Universität Stuttgart held in Sarntal. His work with NHR@FAU positions him at the forefront of national high-performance computing infrastructure in Germany. At NHR@FAU and RRZE (Regional Computing Center Erlangen), Dr. Zeiser leads teams responsible for operating some of Germany's most powerful academic supercomputing resources. His group plays a critical role in supporting computational research across multiple disciplines at FAU and increasingly at the national level through the NHR initiative.

Christoph Grögerمشاهده پروفایل

مدرس

• Industrial Analytics
• Data Management
• Data Analytics
• +۸ مورد دیگر

Christoph Gröger holds the academic title Dr.-Ing. and serves as Chief Expert for Data & AI at Bosch, leading enterprise architecture in Bosch's global data strategy team. He is also active as a guest lecturer and researcher at the University of Stuttgart, focusing on industrial analytics, data management, and data platforms. Institution: University of Stuttgart (IPVS - Applications of Parallel and Distributed Systems) Role: Lecturer, Guest Researcher Current Focus: Data platforms, data strategies, enterprise data marketplaces His research centers on industrial analytics, addressing data management and analytics in manufacturing and enterprise systems. He explores data lake architectures, metadata modeling, and the integration of data warehouses with data lakes. His work spans Industry 4.0, mobile manufacturing dashboards, and prescriptive analytics for business process optimization. Recent publications analyze data lakehouses, metadata frameworks, and enterprise data marketplaces. These works emphasize practical implementations, metadata challenges, and democratizing corporate data. His research trends highlight hybrid data architectures, agile manufacturing analytics, and data productization. Scientific Awards: Best Paper Award at ICEIS 2016 Best Student Paper Award at ICEIS 2014 Best Student Paper Award at ICEIS 2014 At the University of Stuttgart, Gröger teaches courses on Industrial Analytics, Data Warehousing & Analytics (with a focus on Data Mining), and Data Platforms for Industry 4.0. He has led doctoral seminars on industrial analytics since 2019 and contributes to the Industrial Data Lab collaboration between Bosch and the university.

• Robotics
• Automation Technology
• Mechatronic System Design
• +۳ مورد دیگر

Prof. Dr.-Ing. Tobias Bruckmann holds the Chair of Mechatronics at the University of Duisburg-Essen . His research focuses on robotics , particularly cable-driven parallel robots with applications in logistics , construction , and space systems . He is also involved in automation technology and human-machine interfaces . Key Scientific Activities : Organized multiple international conferences (e.g., CableCon 2019, IFToMM DA-CH 2020) and served as Associate Editor for IEEE robotics conferences. Research Projects : Led EU-funded CableBOT (logistics), DFG projects SEGESTA and ARTIST , and contributed to FAROMIR (home robotics). Recent Publications (2025-2023): Explored cable force calculations, automation in construction, human-robot collaboration, and space robot suspension systems. Collaborations : Worked with institutions in Germany (Fraunhofer IPA, TU Delft), France (INRIA), China (The Chinese University of Hong Kong), and Poland. Email: tobias.bruckmann@uni-due.de

• Database Systems
• GPU Computing
• FPGA Optimization
• +۳ مورد دیگر

Jiong He is a researcher affiliated with Nanyang Technological University, Singapore, focusing on optimizing database systems and data processing through heterogeneous computing architectures. PhD thesis (2016) on high-performance databases using CPU-GPU coupling Key research areas: GPU/FPGA acceleration, real-time analytics, stream processing His work bridges hardware-software co-design with 15+ peer-reviewed publications in top venues like SIGMOD, VLDB, FPGA, and ICDCS since 2013. 2022: Micro-architecture analysis for OLAP on persistent memory 2020: Heterogeneity-aware scheduling for cloud analytics 2019: Frameworks for stream processing and DNN mapping to FPGAs

• Database Systems
• Data Mining
• Query Optimization
• +۳ مورد دیگر

Jeffrey F. Naughton is a Professor at the University of Wisconsin and works at Google Inc in Madison, WI, USA. His academic career spans decades with significant contributions to database systems, data mining, and privacy-preserving analytics. Research Interests : Distributed query processing and optimization Machine learning integration with relational databases Differential privacy in data analysis Scalable data warehousing systems Energy-efficient database architectures Temporal data management Article Trends : Over the past decade, Naughton's publications demonstrate a trajectory from foundational database optimization to modern challenges in scalable analytics and privacy-preserving techniques. Key themes include query execution prediction, workload summarization, and system design for big data environments. Scientific Awards : ACM Software System Award (2008) - Recognizing his contributions to database software systems Collaborative Network : He has collaborated with leading researchers including AnHai Doan (entity matching), Somesh Jha (privacy), and Stratis Viglas (query optimization), producing impactful work in SIGMOD, VLDB, and ICDE venues.

• Applied Mathematics
• Optimization
• Computational Mathematics
• +۳ مورد دیگر

Yair Censor is a distinguished Professor in the Department of Mathematics at the University of Haifa. His work focuses on applied mathematics, particularly in optimization, projection methods, and computational algorithms with applications in medical physics and engineering. He has developed foundational techniques like the superiorization method, which balances feasibility-seeking and objective function reduction in iterative algorithms. Research Interests: Optimization theory, convex feasibility problems, superiorization, medical imaging algorithms, and parallel computing. Collaborations: Extensive work with Gabor T. Herman, Aviv Gibali, Reinhard Schulte, and others in computational methods for radiation therapy and tomography. His recent publications (2023–2025) emphasize feasibility-seeking algorithms, superiorization in floorplanning, and perturbation resilience. While no explicit awards or students are listed in the provided text, his contributions to iterative methods and medical physics remain influential.

Patrick Gebhardمشاهده پروفایل

پژوهشگر

• Affective Computing
• Natural Language Processing
• Human-Computer Interaction
• +۳ مورد دیگر

Dr. Patrick Gebhard is a researcher at the Cognitive Assistance Systems department of the German Research Center for Artificial Intelligence (DFKI), focusing on affective computing, human-computer interaction, and psychological modeling. His work bridges computational linguistics, mental health, and wearable technologies. Key projects: UBIDENZ (digital empathetic therapy assistance), MITHOS (mixed-reality teacher training), SocialWear (interactive smart fashion), MindBot (mental health in Industry 4.0), EmmA (emotional coaching avatars). Recent research explores emotion regulation strategies, psychodynamic conflict recognition via LLMs, and multimodal sign language corpora development. Collaborates with institutions like Saarland University, contributing to conferences such as CLPsych, LREC-COLING, and ACII. Contact: Patrick.Gebhard@dfki.de

• Hardware Design
• FPGA Programming
• Parallel Computing
• +۵ مورد دیگر

Satnam Singh is a Professor at Newcastle University's School of Electrical and Electronic Engineering, UK. With a research career spanning over three decades from 1989 to present, Singh has established himself as a leading expert in hardware design, FPGA programming, and parallel computing systems. His research interests focus on hardware-software co-design , reconfigurable computing , and functional programming applications for hardware design. Singh has pioneered work in using functional languages like Haskell for hardware description and verification, particularly through his contributions to the Lava hardware description language. His work bridges theoretical computer science with practical hardware implementation challenges. Analysis of his publication history reveals a clear evolution from early work on formal verification and FPGA design in the 1990s, through substantial contributions to parallel programming models in the 2000s, to more recent applications of machine learning techniques in diverse domains including cheminformatics and sensory systems. His 2022-2025 publications demonstrate continued innovation in specialized processor programming, AI applications for olfactory systems, and health hazard classification using deep learning. Singh has maintained extensive collaborations throughout his career, notably with Krishna R. Pattipati (15 joint publications), Anuradha Kodali (8 publications), and David J. Greaves (5 publications), reflecting his ability to bridge theoretical computer science with practical engineering applications. His work spans multiple prestigious venues including FPGA, FCCM, ICFP, and IEEE Transactions on Systems, Man, and Cybernetics, demonstrating both theoretical depth and practical impact across computer architecture, programming languages, and applied machine learning domains.

• Social and intellectual history
• History of the Reformation in Eastern Europe
• Societal change and elite transformation in Eastern Europe
• +۱ مورد دیگر

Michael G. Müller is a Professor of East European History at Martin Luther University Halle-Wittenberg, where he has held the chair since 1996. His academic career spans institutions in Frankfurt/Main, Giessen, Berlin, and the European University Institute in Florence. He is a co-editor of Kwartalnik Historyczny and chairs the Joint Polish-German Commission for Textbook Revision. PhD: East European History (1977, University of Frankfurt/Main) Habilitation: Modern and East European History (1993, Freie Universität Berlin) His research focuses on social and intellectual history in Eastern Europe, particularly the Reformation's impact, societal change, elite transformation, and territorial identity construction from the 16th to 19th centuries. His publications explore Poland's geopolitical crises, comparative European borderlands, and transnational historical frameworks. Scientific awards include research grants from the German Research Foundation and the Immanuel Kant program. His work connects Polish history to broader European narratives, emphasizing confessionalization, nationalism, and historiographical methodology.

• Medical Physics
• Biomedical Engineering
• Magnetic Resonance Imaging (MRI)
• +۷ مورد دیگر

Mark Deshmane is a postdoctoral researcher at the Max Planck Institute for Biological Cybernetics in Tübingen, Germany, affiliated with the Department of High-Field Magnetic Resonance. He works in the research group of Prof. Scheffler on protein chemical exchange saturation transfer MRI (CEST-MRI) at ultra-high field (UHF) strengths as part of the DFG-funded project qCEST. His research focuses on detecting proteins and metabolites in human brain tissues using controlled signal losses in the water proton pool, particularly at 9.4T, where he addresses challenges related to magnetic field inhomogeneities through parallel transmission and optimized radiofrequency pulses. Current Role: Researcher (Post-Doc), Department of High-Field Magnetic Resonance Key Techniques: CEST-MRI, Ultra-High Field MRI, Parallel Transmission, RF Pulse Optimization His work bridges medical physics, biomedical engineering, and neuroimaging to advance MRI methodologies for clinical and pathological applications.

Alexander Fraserمشاهده پروفایل

استاد

• Machine Learning
• Natural Language Processing (NLP)
• Multilingual Systems
• +۵ مورد دیگر

Prof. Alexander Fraser is a faculty member at the Technical University of Munich (TUM), holding the Chair of Data Analytics & Statistics within the TUM School of Computation, Information and Technology. He specializes in machine learning for natural language processing, particularly focusing on multilingual systems, data sparsity, and cross-lingual alignment. His research bridges theoretical advancements and practical applications, including projects on hate speech detection, low-resource language support, and ethical AI. Fraser earned his PhD in Computer Science from the University of Southern California (2007). Prior to TUM, he held professorial roles at LMU Munich (2013–2024) and the University of Stuttgart (2007–2013). He has led significant research initiatives, including ERC grants and EU-funded projects like Health in my Language (HimL). His work has been recognized with awards such as the ERC Advanced Grant (2023) and ERC Proof of Concept Grant (2022). Teaching responsibilities include courses on large language models, generative models, and machine learning at TUM. Fraser is also a Principal Investigator at the Munich Center for Machine Learning (MCML) and an active member of the ELLIS Unit Munich. His contributions span academic research, industry collaboration, and language revitalization efforts for minority languages like Sorbian. Key publications highlight innovations in multilingual benchmarks, cross-lingual alignment, and ethical NLP applications. His research addresses challenges in data scarcity, model bias, and responsible AI deployment across diverse linguistic landscapes.

Carlo L. Bottassoمشاهده پروفایل

استاد

• Wind Energy
• Aero-Servo-Elasticity
• Renewable Energy Technologies
• +۳ مورد دیگر

Prof. Carlo L. Bottasso is the Chair of Wind Energy and Founding Director of the Wind Energy Institute at the Technical University of Munich (TUM). He holds a PhD in Aerospace Engineering from Politecnico di Milano (Italy), where he rose to Full Professor of Flight Mechanics before joining TUM in 2013. He previously served as Associate Professor at the Georgia Institute of Technology (USA) and held visiting positions at NREL, NASA Langley, and Danish institutions. Education: PhD in Aerospace Engineering, Politecnico di Milano (Italy) Key Roles: Editor-in-Chief, Wind Energy Science journal Former President & Vice-President of the European Academy of Wind Energy (EAWE) His research focuses on wind energy systems, aero-servo-elasticity, control strategies, and turbine design. Over 500 publications include 150+ peer-reviewed articles and contributions to international conferences. His work emphasizes bridging theory and practical applications, such as optimizing turbine performance and advancing wind farm control. Awards include the EAWE Science Prize (2023) for pioneering work in wind turbine modeling and the Bavarian Energy Prize (2016). He has advised numerous students and contributed to industry-academia collaborations. Prof. Bottasso leads the Wind Energy Institute, fostering interdisciplinary research in experimental testing, wind sensing, and turbine control. His team actively engages in global initiatives to address energy transition challenges.