جست‌وجوی استاد و پژوهشگر

• Machine Learning
• Control Systems
• Reinforcement Learning
• +۳ مورد دیگر

Benjamin Recht is a Professor at the California Institute of Technology , affiliated with the Center for the Mathematics of Information . His work spans Machine Learning , Control Systems , Reinforcement Learning , and Optimization , with a focus on theoretical guarantees, adaptive algorithms, and real-world applications. His research includes: Control Systems : Certainty equivalence, adaptive control, LQR, and robustness in dynamic environments. Machine Learning : Generalization bounds, interpolation in classifiers, test set overuse, and ethical frameworks for systemic harm detection. Neural Rendering : K-Planes for explicit radiance fields in space-time-appearance modeling. Recent publications (2025-2018) highlight trends in automating adaptive control , ethical machine learning , distributed computing , and 3D reconstruction . No student lists, awards, or lab details are explicitly mentioned.

Roland Puschمشاهده پروفایل

پژوهشگر

• Cognitive Neuroscience
• Neurophysiology
• Comparative Psychology
• +۵ مورد دیگر

Dr. Roland Pusch is a researcher affiliated with the Department of Biopsychology at Ruhr University Bochum's Faculty of Psychology. His work focuses on the neurophysiological basis of cognitive behavior, utilizing controlled behavioral experiments combined with electrophysiology and optogenetics in pigeon models (Columba livia). He investigates extinction learning, object categorization, and working memory mechanisms through comparative studies of birds and mammals. Education : PhD in Neuroethology and Sensory Ecology from Bonn University (2007–2013); studies in Biology and Social Science (2000–2006). Career : Postdoc at Ruhr University Bochum (2013–present); student teacher (2012–2013); associate member of University of Bonn's Graduate School 'Bionics' (2009–2012). His research spans electrophysiology , sensory physiology , and neurobiology , with recent articles exploring extinction learning dynamics, optogenetic vector optimization, and computational modeling in avian cognition. Publications since 2008 highlight his expertise in sensory systems (electric fish, pigeons) and neural mechanisms of behavior. He received a Friedrich-Ebert-Foundation fellowship during his PhD. His 2012–2025 publications reveal trends in: (1) extinction learning and memory (2020–2025), (2) comparative neuroanatomy (2012–2021), (3) optogenetics and neural imaging (2012–2021), and (4) sensory adaptation in extreme environments (2008–2013). Collaborations with Güntürkün, Cheng, and Rose underscore his role in avian cognition research. Scientific Awards Friedrich-Ebert-Foundation post-graduate fellowship (2007–2010) While no explicit student list is provided, his publications with multiple co-authors suggest mentorship roles. His work involves awake animal neuroimaging , 3D-printed neural implants , and machine learning integration in cognitive studies. The lab employs electrophysiological single-cell recordings and optogenetic interventions to dissect neural processes.

• Service Engineering
• Component-based modeling of services
• Modeling of individual-related cooperative services
• +۴ مورد دیگر

Dr. Stephan Klingner is a Researcher at the University of Leipzig, affiliated with the Institute of Computer Science and the Business Information Systems department. He currently works at the AI Laboratory of the Federal Environment Agency and in the Research and Development Department of the Leipzig University Computing Center. His educational background includes a diploma in computer science (2000-2005) and a master's degree in computer science and media (2005-2008), both from HTWK Leipzig. He began his PhD studies at the University of Leipzig in August 2009 and has since earned his doctorate. Dr. Klingner's research focuses on Service Engineering, with particular emphasis on component-based modeling of services and modeling of individual-related cooperative services. He also has extensive expertise in web technologies, including web programming, web design, search engine optimization, and web analytics. His work bridges theoretical research with practical applications in service-oriented architectures and web-based systems. With over 70 publications to his name, Dr. Klingner has made significant contributions across his fields of interest. His scholarly output demonstrates consistent research activity with a focus on practical applications of service engineering principles and web technologies, showing evolution from foundational service modeling to more specialized applications in cooperative services and web analytics. Active researcher with ongoing contributions to academic literature Specialized expertise in component-based service modeling Strong practical application focus in web technologies Dr. Klingner maintains a parallel career as a professional web designer and programmer since 2005, serving clients including global companies such as DaimlerChrysler, tv.media, and MASLATON Rechtsanwaltsgesellschaft mbH. He is also active in music, performing with his family band 'Fiddle Folk Family,' which specializes in Irish and German folk music.

• Network-on-Chip (NoC)
• Embedded Systems
• Fault Tolerant Design
• +۴ مورد دیگر

Martin Radetzki is a full Professor at the Institute for Computer Architecture and Parallel Systems (University of Stuttgart) , specializing in Embedded Systems . His work focuses on network-on-chip (NoC) design, fault tolerance, memory optimization, and simulation frameworks. Key research areas: NoC synthesis, deadlock-free routing, performability analysis, and power-efficient memory subsystems Recent publications emphasize integer linear programming frameworks for co-designing floorplanning and routing, chiplet-based systems , and machine learning-enabled performance evaluation His methodologies address cross-layer challenges in NoC design, combining formal optimization with practical implementation for heterogeneous processing elements. Collaborative projects include fault resilience analysis, parallel simulation techniques, and memory allocation strategies for SoCs. Dr. Radetzki supervises research with students like Shuang Liu and Manuel Strobel , contributing to IEEE Transactions on Computers , ACM TECS , and conferences such as DATE and MCSoC . Current work explores optimal routing topologies for emerging chip architectures.

Amin Totounferoushمشاهده پروفایل

پژوهشگر

• Data Analytics
• High-Performance Computing
• Parallel Computing
• +۳ مورد دیگر

Amin Totounferoush serves as a Researcher within the Analytic Computing group at the University of Stuttgart, Germany. His institutional affiliation places him at Universitätsstraße 32, room 2.201, 70569 Stuttgart, with office hours available by appointment. Contact is facilitated through direct phone lines +49 711 685 88409 and +49 711 685 78409. His research portfolio centers on advanced computational methodologies, with primary expertise in data-intensive systems and scalable computing architectures. Key focus areas include: Algorithm optimization for distributed environments Parallel processing frameworks Large-scale data analytics pipelines High-performance scientific simulations As a core member of the Analytic Computing research unit, Dr. Totounferoush contributes to developing next-generation computational tools for complex scientific problems. His work integrates theoretical computer science with practical engineering solutions for data-intensive challenges across academic and industrial applications.

Tal Ravivمشاهده پروفایل

دانشیار

• Operations Research
• Transportation
• Logistics
• +۲ مورد دیگر

Prof. Tal Raviv is an Associate Professor in the Department of Industrial Engineering at the Iby and Aladar Fleischman Faculty of Engineering, Tel Aviv University. He serves as head of the Shlomo Shmeltzer Institute for Smart Transportation and co-heads the Transportation and Logistics Lab. His educational background includes: BA in Economics from Tel Aviv University (1993) MBA from Recanati School of Business, Tel Aviv University (1997) PhD in Operations Research from Technion (2003) Postdoctoral fellowship at Sauder School of Business, University of British Columbia (2004-2006) Prof. Raviv's research focuses on operations research with emphasis on transportation and logistics, particularly smart transportation and sustainable logistics. His work develops optimization models for bike-sharing systems, vehicle routing, and urban mobility to enhance efficiency and user satisfaction while addressing sustainability challenges. Recent publications reveal a strong trend in shared mobility systems optimization, including inventory control and repositioning strategies for bike-sharing networks, analysis of user dissatisfaction due to unusable vehicles, and flexible delivery solutions using parcel lockers. His research bridges theoretical operations research with practical industry applications in transportation networks. Prof. Raviv has advised startup companies, applying his expertise to real-world business challenges. While specific grant details are not provided, his work demonstrates significant industry relevance through practical implementations. He leads the Transportation and Logistics Lab and the Shlomo Shmeltzer Institute for Smart Transportation, where his team develops innovative solutions for modern transportation challenges including data-driven routing, sustainable logistics, and smart infrastructure optimization.

Dai Liuمشاهده پروفایل

پژوهشگر

• Dataset Distillation
• Deep Learning on Heterogeneous Systems
• Network Compression
• +۳ مورد دیگر

Dai Liu is a researcher at the Chair of Computer Architecture and Parallel Systems at the Technical University of Munich . His work focuses on Dataset Distillation , Deep Learning on Heterogeneous Systems , Network Compression , and Hardware Acceleration for AI , with a particular emphasis on AI optimization for edge devices and specialized hardware like Cerebras. Education : Master of Informatics in Computational Science and Engineering (Technical University of Munich), Bachelor of Engineering in Electrical and Electronic Engineering (Tel Aviv University) His teaching activities include contributions to courses on Parallel Programming Systems , Advanced Computer Architecture , and Efficient Programming of Multicore Processors and Supercomputers .

Stepan Vanecekمشاهده پروفایل

پژوهشگر

• High-Performance Computing (HPC)
• Computer Architecture
• Quantum Computing Integration
• +۴ مورد دیگر

Stepan Vanecek is a Doctoral Candidate and Scientific Employee at the Chair of Computer Architecture and Parallel Systems within Technische Universität München . His work spans software tool development, performance analysis, and HPC system optimization. Research focus on HPC architecture, quantum computing integration, and heterogeneous memory systems Active in performance modeling, GPU bottleneck detection, and hardware topology representation Led development of tools like sys-sage and GPUscout Research Trends from recent publications show: Quantum-HPC system integration frameworks Dynamic hardware topology modeling GPU memory bottleneck visualization Heterogeneous computing optimization techniques Scientific Recognition : Hans Meuer Award (ISC'25) for quantum-HPC research Student Mentorship : Supervised 17+ theses (6 MA, 11 BA) since 2022, including GPU performance analysis, sys-sage API development, and heterogeneous system evaluation projects.

• Computer Architecture
• High-Performance Computing (HPC)
• Internet of Things (IoT)
• +۷ مورد دیگر

Vincent Bode is a researcher and teaching assistant at the Chair of Computer Architecture and Parallel Systems at the Technical University of Munich (TUM) . His work focuses on benchmarking and optimizing Data Distribution Service (DDS) middleware for Industrial IoT applications, particularly through the DDS-Perf project in collaboration with Siemens .

Isaías A. Comprés Ureñaمشاهده پروفایل

پژوهشگر

• High Performance Computing
• Parallel Programming
• Distributed Systems
• +۳ مورد دیگر

Isaías A. Comprés Ureña serves as a Researcher at the Chair of Computer Architecture and Parallel Systems within the Department of Informatics at the Technical University of Munich (TUM), focusing on advancing exascale computing infrastructure and distributed memory systems. His research centers on High Performance Computing with specialized expertise in parallel programming standards including MPI and PMIx, distributed resource management, batch scheduling optimization, and automatic performance tuning for supercomputing environments. These areas directly support the development of next-generation HPC tools and frameworks for scientific computing workloads. Dr. Comprés actively contributes to international HPC initiatives through membership in the MPI Forum, Virtual Institute - High Productivity Supercomputing, and Eurolab4HPC collaborations, driving standardization efforts for process management and distributed memory programming models.

Michael Gerndtمشاهده پروفایل

استاد

• Cloud Computing
• Internet of Things (IoT)
• High Performance Computing (HPC)
• +۱۱ مورد دیگر

Prof. Dr. Michael Gerndt is a Full Professor at the Chair of Computer Architecture and Parallel Systems , School of Informatics, Technische Universität München (TUM). His research focuses on cloud and IoT systems, high-performance computing (HPC), and performance analysis tools for parallel/distributed systems. Current projects: SEANERGYS , PlasmaPEPS , OpenCUBE , and MUNIQC-ATOMS Past projects: AutoTune , READEX , InvasIC , and CrossGrid Research Highlights: Developed the Periscope Tuning Framework and iOMP (OpenMP extension for invasive computing) Pioneering work in performance analysis, energy efficiency, and resource management in HPC and cloud systems Focus on AI-driven cloud operations, quantum-HPC integration, and hardware accelerators for machine learning Scientific Awards: Outstanding Paper Award, IEEE SC2 Symposium (2017) Teaching Contributions: Lectures: Parallel Programming Systems , Advanced Computer Architecture , Cloud Computing Lab courses: Efficient Programming of Multicore Processors , IoT Sensor Nodes Seminars: Hardware Accelerators for AI , Quantum Computing Integration Education & Career: PhD in Computer Science (1989, University of Bonn), postdoc at University of Vienna (1990-1991), habilitation at TUM (1998), Professor at TUM since 2000.

• Machine Learning
• Collaborative Robotics
• Software-driven Robotics
• +۵ مورد دیگر

Daniel Bermuth is a Researcher at the Chair of Software Engineering within the Institute for Software & Systems Engineering at the University of Augsburg . His work focuses on the intersection of Machine Learning and Collaborative Robotics , with a particular emphasis on Software-driven Robotics and Automation . Education Master in Computer Science (2017-2020), University of Augsburg Bachelor in Computer Science (2014-2017), University of Augsburg Research Interests Development of AI-based safety mechanisms for human-robot collaboration Real-time human pose estimation using RGBD imaging and voxel fusion techniques Efficient spoken language understanding architectures via n-grams, tries, and finite state transducers Privacy-aware voice assistants operating in offline environments Fast speech-to-text models for multilingual applications Publications demonstrate expertise in Robotics , Artificial Intelligence , Computer Vision , and Natural Language Processing . Key subfields include Human-Robot Interaction , 3D Pose Estimation , Speech Recognition , Privacy-preserving AI , Efficient Parsing Algorithms , and Multilingual Language Models . Laboratory Works within the Institute for Software & Systems Engineering under Prof. Dr. Wolfgang Reif Active in developing software solutions for robotics and speech processing

Miriam Schulteمشاهده پروفایل

استاد

• High-Performance Computing (HPC)
• Parallel and Distributed Systems
• Scientific Computing
• +۵ مورد دیگر

Miriam Schulte is a Professor at the Institute for Parallel and Distributed Systems (IPVS) at the University of Stuttgart . As Dean of Studies SimTech , she leads academic programs in simulation technology. Her research focuses on high-performance computing , multi-physics simulations , and scientific software development , with significant contributions to coupling libraries like preCICE and biophysical frameworks like OpenDiHu . Key Research Areas: High-Performance Computing (HPC) Multi-physics and Fluid-Structure Interaction (FSI) Sparse Grids and Hierarchical Numerical Methods Machine Learning in Simulation Software Parallel and GPU-Accelerated Algorithms Advising: Guided student projects on quantum neural networks , GPU-optimized sparse grids , and SYCL-based HPC frameworks . Coordinated SimTech Research Modules and IPVS/SGS team initiatives. Software Leadership: Maintains preCICE (coupling library for multi-physics) Develops OpenDiHu (neuromuscular simulations) Advances PLSSVM (parallel SVM library) and SG++ (sparse grids) Her recent publications (2022–2025) emphasize machine learning integration with multi-physics simulations , including groundwater heat pumps , brain tumor modeling , and neuromuscular EMG prediction . She actively promotes open-source software sustainability and collaborative research infrastructure at the University of Stuttgart.

• Neuroscience
• Cognitive Neuroscience
• Neuroethology
• +۳ مورد دیگر

Andreas Nieder is a Professor at the University of Tübingen, affiliated with the Faculty of Mathematics and Natural Sciences under the Department of Biology. He serves as a Director at the Institute of Neurobiology and leads the Animal Physiology department. Academic Rank: Professor Main Affiliation: Department of Biology, University of Tübingen Leadership Role: Director, Institute of Neurobiology Research Focus Nieder's research spans Neuroscience, Cognitive Neuroscience, and Neuroethology, with particular emphasis on numerical cognition, avian intelligence, and neural mechanisms of abstract representations. His work investigates how crows and primates process numerosity, zero concepts, and cognitive control through comparative neurobiology. Key Topics: Numerosity coding, neural dynamics, geometric perception, cognitive evolution Species: Macaques, crows (Corvus corone) Techniques: fMRI at 7 Tesla, functional ultrasound, single-neuron recording Scientific Contributions Nieder's recent publications (2025–2024) focus on numerical cognition (e.g., zero representation, Weber-Fechner law), avian-brain parallels with primate neurobiology (prefrontal cortex, intraparietal sulcus), and consciousness mechanisms in non-mammalian species. His work bridges experimental neuroscience with theoretical models of cognitive evolution. Academic Activities He teaches Animal Physiology (BIO125), supervises Internship in Neurobiology (4006), and leads seminars on neurophysiology, systems neurobiology, and behavioral physiology at the University of Tübingen.

Alvo Aablooمشاهده پروفایل

استاد

• Advanced Materials
• Nanotechnology
• Robotics
• +۵ مورد دیگر

Alvo Aabloo is a Full Professor at the University of Tartu's Institute of Technology, where he leads the Intelligent Materials and Systems Laboratory (IMS Lab). His affiliations include a postdoctoral position at Uppsala University (1995–1996) and ongoing roles at the University of Tartu since 2005. The IMS Lab, accessible via www.ims.ut.ee , specializes in electroactive polymers, biomimetic robotics, and sustainable materials. His research integrates Advanced Materials , Nanotechnology , and Soft Robotics , with emphasis on: Biomimetic actuators (e.g., spider-leg exoskeletons, plant-inspired fluid transport) Ionic polymer-metal composites for precision manipulation Acoustic metamaterials for noise control Green sensors using bacterial cellulose and bio-derived ionic liquids Recent publications (2022–2025) reveal trends in: Robotics education tools (ROS2 web labs, 3D-printable robots) Programmable metamaterials for environmental applications Textile-based encoding and wearable compliance modulation He pioneers sustainable tech, such as all-printed micro-supercapacitors and biodegradable artificial muscles, while collaborating globally on projects spanning Italy, China, and Sweden.