جست‌وجوی استاد و پژوهشگر

Andrea Waltherمشاهده پروفایل

استاد

• Nonlinear Optimization
• Algorithmic Differentiation
• Mathematical Optimization
• +۳ مورد دیگر

Andrea Walther is a Professor of Mathematical Optimization at the Humboldt University of Berlin, holding a position within the Faculty of Mathematics and Natural Sciences. She leads the Mathematical Optimization research group at the Institute of Mathematics, focusing on algorithmic differentiation, nonlinear optimization, and applied mathematics. Her academic journey includes a Diploma in Business Mathematics (1996, University of Bayreuth), a PhD (1999, TU Dresden), and habilitation (2008, TU Dresden). She has held roles such as Junior Professor at TU Dresden (2007–2008) and Professor at the University of Paderborn (2009–2019) before joining Humboldt in 2019 as a MATH+ Professor. Education : 1991–1996: Studies in Business Mathematics, University of Bayreuth 1996: Diploma in Business Mathematics, University of Bayreuth 1999: PhD in Mathematics, TU Dresden 2008: Habilitation, TU Dresden Her research interests center on optimization methods, particularly algorithmic differentiation (e.g., ADOL-C software), nonsmooth optimization, and applications in engineering and machine learning. She leads initiatives like the Cluster of Excellence MATH+ and contributes to projects such as the Transregio 154. Key Projects: Co-PI of DFG Project 'Mixed-integer non-smooth optimization for gas market problems' (2020–2022) Principal Investigator in MATH+ Projects (EF3-7, AA2-7) Co-developer of ADOL-C, a widely used tool for algorithmic differentiation Notable awards include being a SIAM Fellow. Her work bridges theoretical advancements and practical applications, with contributions to energy sector optimization, inverse problems, and computational frameworks for solving complex systems.

Paul Kotyczkaمشاهده پروفایل

استاد

• Control Engineering
• Nonlinear Control
• Port-Hamiltonian Systems
• +۸ مورد دیگر

Paul Kotyczka is a Professor at the Technical University of Munich (TUM) in the School of Engineering and Design , Department of Automatic Control Engineering. He leads the Energy-based Modeling and Control Working Group and focuses on modeling, geometric discretization, and control of multi-physical systems, with expertise in nonlinear and passivity-based control. His work spans applications in robotics, mechatronics, and process engineering. Education : Dipl.-Ing. in Electrical Engineering (TUM, 2005), Dr.-Ing. (TUM, 2010), Habilitation (Dr.-Ing. habil., TUM, 2019). Research : Core areas include port-Hamiltonian systems, predictive control of active chassis, structural mechanics modeling, and numerical methods for control. His projects address autonomous driving, distributed parametric systems, and passivity-based control of switching nonlinear systems. Awards : Held a Marie Sklodowska-Curie Fellowship (2015–2017). Grants : Leads DFG projects (e.g., HermInE, INFIDHEM), MSCA-IF, and Franco-German Doctoral Program on port-Hamiltonian systems. Labs : Head of the Energy-based Modeling and Control group at TUM, collaborating internationally (e.g., IIT Bombay, Grenoble INP, LCIS France).

Nicolas Mansardمشاهده پروفایل

پژوهشگر

• Robotics
• Humanoid Robotics
• Sensor-Based Control
• +۶ مورد دیگر

Nicolas Mansard is a permanent researcher at LAAS-CNRS in Toulouse, France, where he has been working since October 2008. He is a member of the Gepetto research group alongside Philippe Souères, Florent Lamiraux, Olivier Stasse, and Jean-Paul Laumond. He defended his Habilitation à Diriger des Recherches (HDR) in July 2013 on the topic of motion semiotics. In 2013, he was an invited researcher at Emo Todorov's lab at the University of Washington, Seattle. His research focuses on sensor-based control, particularly the integration of sensor-based schemes into humanoid robot applications. His work spans the intersection of robotics, automatic control, signal processing, and numerical mathematics, with humanoid robotics as his primary application field. Mansard has made significant contributions to hierarchical quadratic programming for fast online humanoid-robot motion generation, inverse dynamics control, and sensor-based control systems. Mansard has received prestigious awards including the CNRS Bronze Medal in 2015 and the Grand Prix de l'ANR in 2016 for his project ANR Entracte. His research has resulted in numerous publications in top robotics journals and conferences, with a focus on motion generation, control theory, and humanoid robotics applications. His work has been particularly influential in developing efficient algorithms for hierarchical task control and inverse dynamics. 2015 CNRS Bronze Medal for research in robotics Grand Prix de l'ANR in 2016 for project ANR Entracte Associate Editor for IEEE TRO since July 2013 Mansard has advised numerous PhD students including Justin Carpentier, Mathieu Geisert, Oscar Ramos, and Sovannara Hak. He has secured significant research funding including leading the ANR project ENTRACTE (starting November 2013) and serving as CNRS coordinator and work package leader for the FP7 EuRoc project. He has also taught courses in advanced robotics at Supaero, mathematics for motion generation at École Normale Supérieure, and experimental humanoid robotics at INSA, all in Toulouse. His research group has been involved in developing open-source software for motion generation, notably the Stack of Tasks framework, which has been widely adopted in the robotics community. His work on humanoid robot dance with HRP-2 demonstrated the practical applications of his theoretical contributions to motion generation and control.

• Prospective Memory
• Cognitive Psychology
• Neuroscience
• +۳ مورد دیگر

Dr. Marcus Möschl is a Researcher at the Department of Psychology within the Faculty of Science at Technische Universität Dresden. His work focuses on prospective memory and intention deactivation, exploring how cognitive intentions persist post-completion, the interplay with cognitive control, and the impact of acute stress. He holds a Dr. rer. nat. in Psychology (2019) and a Diploma (2013), both from TU Dresden. His research has been supported by the Collaborative Research Center CRC 940 'Volition and Cognitive Control'. Research Interests: Prospective memory dynamics, intention deactivation mechanisms, stress effects on cognitive processes, and the role of cognitive control in adaptive behavior. His studies use experimental paradigms to investigate how completed intentions influence subsequent tasks and how stress modulates these processes. Key Findings: Published work includes studies on stress-induced shifts in prospective memory processes, the persistence of intention representations post-completion, and the role of task similarity in aftereffects. His 2023 publications highlight contributions to open science practices and methodological innovations like mouse-tracking for behavioral analysis. Grants/Awards: Fellowship holder in CRC 940 (2014–2019). No specific awards listed. Labs/Teams: Active member of the Institute of General Psychology, Biological Psychology and Methods of Psychology at TU Dresden, collaborating within the CRC 940 framework.

Johannes Twiefelمشاهده پروفایل

پژوهشگر

• Speech Recognition
• Language Understanding
• Reservoir Computing
• +۷ مورد دیگر

Dr. Johannes Twiefel is a Researcher at the Knowledge Technology Research Group within the Department of Informatics at the University of Hamburg. His work focuses on speech recognition, language understanding, and brain-inspired models using echo state networks. He leads the LemonSpeech project, funded by the German Federal Ministry for Economic Affairs and Energy, which aims to develop German automatic speech recognition (ASR) systems for local hardware deployment. His research spans noise robustness in ASR, robotic interaction, and multimodal learning. Education: Doctor rerum naturalium (Dr. rer. nat.) in Computer Science, University of Hamburg (2020) Master's degree in Computer Science, University of Hamburg (2014) Research Interests: Reservoir Computing and Echo State Networks Machine Learning and Neural Networks Speech Recognition and Language Understanding Human-Robot Interaction Robotics and Multimodal Systems Grants and Projects: EXIST Scholarship (2021–present) for LemonSpeech DOCKS Project (post-processing ASR hypotheses) Labs/Teams: Active in the Knowledge Technology Research Group, collaborating on neuro-inspired architectures and ASR systems.

Ralf Salomonمشاهده پروفایل

استاد

• Embedded Systems
• Localization and Positioning
• Time Interval Measurement
• +۱۲ مورد دیگر

Ralf Salomon is a Professor at the Faculty of Computer Science and Electrical Engineering , University of Rostock , Germany. He holds the title of Prof. Dr.-Ing. habil. and is actively involved in research and teaching in embedded systems, localization, and signal processing. University: University of Rostock School: Faculty of Computer Science and Electrical Engineering Position: Full Professor Contact: Room 201, Tel: +49 381 498 7260 His research focuses on high-precision time measurement , ambient assisted living , industrial embedded systems , and localization technologies . He applies bio-inspired principles, particularly from the barn owl auditory system, to develop low-cost, high-accuracy systems. His work spans health monitoring (e.g., fall detection, cochlear implants), sports technology, and animal experimentation systems. The recent publications (2020–2025) show a strong trend in sensor systems , embedded vision , and real-time measurement , with applications in sports, healthcare, and automation. His work combines theoretical innovation with practical implementation, often using FPGAs and microcontrollers. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: He advises students such as Theo Gabloffsky , who co-authors multiple publications and assists in teaching. He has led multiple funded projects including Welisa (DFG Graduate College) , iHeal , CurlDat , and BOUNCE . Many of his projects focus on health, localization, and embedded intelligence. Labs and Teams: He collaborates closely with researchers like Ralf Joost , Matthias Hinkfoth , Gerald Bieber , and Marian Lüder . His team develops FPGA-based systems, embedded sensors, and intelligent algorithms for real-world applications in health, industry, and sports.

Julia Lawallمشاهده پروفایل

پژوهشگر

• Operating Systems
• Domain-Specific Languages
• Program Transformation
• +۴ مورد دیگر

Julia Lawall is a Senior Research Scientist (Directrice de Recherche) at Inria-Paris, where she leads research in the Whisper group. She has made significant contributions to the fields of programming languages, operating systems, and software engineering, with a particular focus on program transformation and Linux kernel development. Her work bridges theoretical computer science with practical software engineering challenges. Dr. Lawall's research primarily centers on the design and implementation of domain-specific languages for operating system problems, program transformation techniques, and automated software evolution. Her most notable contribution is the Coccinelle framework, which has been instrumental in automating the evolution of Linux device drivers for over a decade. Her work spans from theoretical foundations in optimal reduction of the lambda calculus to practical tools that address real-world software maintenance challenges in large-scale systems like the Linux kernel. Her publication record demonstrates consistent contributions across multiple domains, with recent work focusing on Android API evolution, Linux kernel bug detection, and program transformation techniques. The trajectory of her research shows a progression from theoretical programming language concepts to increasingly practical applications in system software maintenance and evolution. EuroSys Test of time award for 'Documenting and Automating Collateral Evolutions in Linux Device Drivers' at EuroSys 2008 Best paper award for 'Diagnosys: Automatic Generation of a Debugging Interface to the Linux kernel' at ASE 2012 Most Influential ICFP Paper Award for foundational work on lambda calculus Best Reviewer at GPCE 2020 and Distinguished Reviewer at ASE 2020 Dr. Lawall has been actively involved in the academic community, serving as program co-chair for numerous prestigious conferences including ASE 2019, FSE 2026, and EuroSys 2025. She has also contributed to community initiatives as the Linux kernel coordinator for Outreachy (2015-2018) and as a member of the advisory board for Software Heritage. Her leadership extends to editorial roles, including associate editor for Higher-Order and Symbolic Computation and membership on the editorial board of Science of Computer Programming. She leads the Whisper research group at Inria-Paris, which focuses on program transformation techniques and their applications to system software. The group has developed several influential tools including Coccinelle, Coccinelle4J, LiLiput, Prequel, and JMake, which have had substantial impact on both academic research and industrial practice in software maintenance and evolution.

• Clinical Linguistics
• Psycholinguistics
• Aphasia
• +۵ مورد دیگر

Dr. Anna Rosenkranz is a researcher at the Institute for German Linguistics, specializing in Clinical Linguistics at Philipps-Universität Marburg. She holds a visiting professorship at the Department of Educational and Rehabilitation Sciences, University of Cologne (2024-2025), focusing on language disorders in neurologically impaired populations. Her career spans institutions including Ruhr-Universität Bochum and University of Reading, with a PhD in Linguistics (2015). Current affiliations: Philipps-Universität Marburg (since 2019), University of Cologne (2024-2025) Education: PhD Linguistics (Bochum), MA Speech Science (Marburg), BA Linguistics (Bochum) Rosenkranz's research bridges clinical linguistics and neuropsychology, focusing on: Executive function contributions to word retrieval in aphasia Complex semantic processing in cognitive communication disorders Diagnostic tools for subtle post-brain-injury communication deficits Psycholinguistic models of verbal fluency in psychiatric and neurological conditions Digital participation barriers for speech-language impaired individuals Her work emphasizes practical applications in speech therapy, including the development of the KomplexSem test and FAVRES-D assessment. Recent publications analyze digital accessibility challenges, semantic processing, and cognitive-linguistic interactions across conditions like schizophrenia and dementia. Professional activities include: Co-developer of cognitive-communication screening tools (CCCABI-DE, KomplexSem) Coordinator of continuing education programs (2022-2024) Keynote speaker at international workshops on language production and neurorehabilitation Contributor to BMBF-funded projects on 'small disciplines with high potential'

Torsten Zeschمشاهده پروفایل

استاد

• Computational Linguistics
• Natural Language Processing
• Educational Technology
• +۶ مورد دیگر

Prof. Dr.-Ing. Torsten Zesch serves as Deputy Scientific Director, Member of the Executive Board, and Head of the Research Professorship for Computational Linguistics at FernUniversität in Hagen since March 2022. He previously held W2 and W1 Professorships for Sprachtechnologie (Language Technology) at Universität Duisburg-Essen from 2014-2022. Zesch is also Spokesperson of the Advisory Board of the German Society for Computational Linguistics and Language Technology (GSCL) since 2024, having previously served as GSCL President from 2018-2024. Dr. Zesch completed his dissertation (Dr.-Ing.) in Computer Science at Technische Universität Darmstadt in 2009. His research spans robust language processing systems, analysis of non-standard language structures, and educational applications of language technology, with particular focus on automatic content scoring and spelling error correction for learner language. Zesch's recent publications reveal a strong focus on integrating language technology with educational applications. His work demonstrates expertise in developing practical NLP solutions for educational assessment, including transformer-based spelling error feedback systems, hierarchical automatic scoring methods, and leveraging LLMs for educational applications despite cold-start problems. He also maintains significant research in hate speech detection, particularly in multimodal contexts and visio-linguistic models. As leader of the Computational Linguistics research professorship within the CATALPA research center, Zesch directs a team investigating how language technology can support educational processes. His projects DAKODA and KISS-Pro focus on language acquisition and educational applications. He has contributed significantly to the field through numerous publications in top NLP and educational technology venues, with over 100 publications spanning from 2006 to present.

Camille Casteraمشاهده پروفایل

دانشیار

• Optimization Algorithms
• Machine Learning
• Deep Learning
• +۶ مورد دیگر

Camille Castera is an Associate Professor in optimization and machine learning at the Mathematical Institute of the University of Bordeaux (IMB). Her academic journey includes a postdoctoral position at the University of Tübingen (2022-2024) working on the TRINOM-DS project under Peter Ochs and Jalal Fadili, and a PhD at the IRIT laboratory in Toulouse supervised by Cédric Févotte, Edouard Pauwels, and Jérôme Bolte as part of the FACTORY project. Her research focuses on optimization algorithms for machine learning, particularly second-order methods with applications to deep learning, and the emerging field of learning optimization algorithms. Her work spans continuous optimization (convex & non-convex, non-smooth, stochastic), learning to optimize, and optimization for deep learning with automatic hyper-parameter tuning. Her recent publications demonstrate significant contributions to the field of optimization algorithms, particularly in developing novel approaches that bridge classical optimization techniques with learning-based methods. Her research shows a clear trajectory toward creating more adaptive and versatile optimization algorithms that can generalize beyond their training settings. At the University of Bordeaux, she teaches advanced courses including Large-scale optimization (Master 2), Introduction to deep learning (Master 2), Convex optimization (Master 1), and Image processing (Licence 3), while also supervising student projects on image processing and machine learning. Her technical work is supported by substantial implementation efforts, with publicly available code repositories demonstrating practical applications of her theoretical contributions to optimization algorithms.

Hendrik Lensمشاهده پروفایل

استاد

• Power Systems
• Grid Stability
• Renewable Energy Integration
• +۴ مورد دیگر

Hendrik Lens is a **Professor for Power Plant and Grid Systems** and **Director of the Institute** at the University of Stuttgart's **Institute of Combustion and Power Plant Technology (IFK)**. He leads the **Power Generation and Automatic Control (SuA) department**, focusing on advanced grid technologies and energy system optimization. His research emphasizes **grid stability**, **renewable energy integration**, and **converter control strategies**. Key contributions include studies on grid-forming converters, inertia-aware generation planning, and dynamic network equivalents. He collaborates internationally on projects like the *VerbundnetzStabil initiative* analyzing interconnected power systems. Publications span **18 journals/conferences in 2024 alone**, with a focus on smart grid technologies and decarbonization strategies. His work addresses challenges such as frequency containment reserves, distributed generation impacts, and stochastic unit commitment tools. Operates within the Institute of Combustion and Power Plant Technology, contributing to both academic and applied research in sustainable energy systems.

Georg Felserمشاهده پروفایل

استاد

• Market and Consumer Psychology
• Consumer Behavior
• Marketing
• +۴ مورد دیگر

Prof. Dr. Georg Felser is a faculty member at the Harz University of Applied Sciences , holding the Professor position in the Department of Economics since 2001. His work bridges market and consumer psychology with broader interests in social psychology and personality psychology . Education: Diploma in Psychology (1991) and Doctorate in Natural Sciences (1998) from the University of Trier Professional Experience: Prior roles include research assistant at Martin Luther University, co-therapy in psychotherapeutic treatment, and teaching at the University of Trier His research focuses on consumer decision-making , advertising psychology , and marketing ethics . Recent publications explore topics like tourist signage perception , second-hand market motivations , and cognitive influences on taste perception . He has contributed to studies on reversible decisions , implicit advertising effects , and conflicts of interest in healthcare. Prof. Felser serves as a reviewer for journals like Psychology & Marketing and Journal of Business and Media Psychology . His scientific expertise includes experimental methods, implicit attitude measurement, and applied business psychology. He has presented at numerous conferences, including the International Congress of Psychology and the German Society for Psychology meetings.

• Nonlinear Dynamics
• Bifurcation Theory
• Piecewise Smooth Systems
• +۷ مورد دیگر

Professor Viktor Avrutin is an extraordinary professor (Apl. Prof.) at the University of Stuttgart, Germany, affiliated with the Institute for Systems Theory and Automatic Control. He holds a Dr. rer. nat. habil. degree in Computer Science from the University of Stuttgart, where he was appointed as an extraordinary professor in 2020 after obtaining his Privatdozent status in 2011. Avrutin completed his academic journey with a B.Sc. from St. Petersburg State Polytechnical University (1992), an M.Sc. in Computer Science with Mathematics from the University of Stuttgart (1997), and a Ph.D. from the University of Stuttgart (2003) with a thesis on piecewise-smooth dynamical systems. His research focuses on nonlinear dynamics with particular emphasis on bifurcation theory for piecewise smooth systems, border collision and homoclinic bifurcations, low-dimensional chaos, and bifurcations of chaotic attractors (crises). He also investigates numerics, simulation software, algorithms, and neural networks. His work spans multiple disciplines including electrical engineering (power converters and inverters), mechanical systems (vibration machines), biological modeling (Goodwin's oscillator), and ecological systems (predator-prey models). Analysis of his recent publications reveals a consistent focus on piecewise smooth dynamical systems, with particular attention to border collision bifurcations, chaotic attractors, and their transformations. His research demonstrates strong interdisciplinary applications, connecting theoretical mathematics with practical engineering problems in power electronics, mechanical systems, and biological modeling. The recurring themes across his work include the study of complex nonlinear phenomena in systems with discontinuities, transformation of attractors, and the interplay between deterministic and stochastic elements in nonlinear systems. Professor Avrutin teaches courses including Nonlinear Dynamics and Chaos Theory I (summer term), Dynamics of Nonsmooth Systems, and Nonlinear Dynamics and Chaos Theory II (winter term) at the University of Stuttgart.

Marcel Campenمشاهده پروفایل

استاد

• Computer Graphics
• Geometry Processing
• Surface Parametrization
• +۴ مورد دیگر

Marcel Campen is a Professor at Osnabrück University specializing in Computer Graphics and Geometry Processing. His research focuses on surface parametrization, quad mesh generation, and computational geometry. He has made significant contributions to the field of geometry processing, particularly in developing algorithms for quad layout generation, surface mapping, and mesh repair. His research interests span Computer Graphics, Geometry Processing, Surface Parametrization, Quad Mesh Generation, 3D Modeling, and Mesh Repair. Campen's work addresses fundamental challenges in representing and processing complex geometric shapes, with applications ranging from animation and simulation to reverse engineering and meshing. His research often combines theoretical insights with practical implementations, resulting in algorithms that are both mathematically sound and computationally efficient. Campen's publications demonstrate a strong focus on developing robust and efficient methods for geometry processing. His work on quad layout generation, parametrization techniques, and surface mapping has resulted in several award-winning papers, including Best Paper Awards at SGP 2021 and 2022. His research often bridges theoretical concepts with practical implementations, making his contributions highly influential in both academic and industrial settings. Best Paper Award (1st place) at SGP 2022 Best Paper Award at SGP 2021 Campen has made significant contributions to the field through his doctoral thesis on quad layout generation and numerous publications in top-tier conferences including SIGGRAPH, Eurographics, and SGP. His work on directional field synthesis, similarity maps, and bijective mappings has advanced the state of the art in geometry processing. He has also contributed to practical tools like libQEx for robust quad mesh extraction, demonstrating his commitment to making theoretical advances accessible to practitioners.

• Control Engineering
• Biomedical Systems
• Iterative Learning Control
• +۷ مورد دیگر

Dr.-Ing. Maike Stemmler is a researcher and group leader at the Institute of Automatic Control, RWTH Aachen University, where she heads the Biomedical Systems research group. She is currently on parental leave but remains an active contributor to control engineering research with a focus on biomedical applications. Her work bridges advanced control theory and medical technology development. Research Interests: Iterative Learning Control in medical systems Physiological modeling and control of cardiovascular dynamics Robot-assisted rehabilitation and human-robot interaction Deep learning and AI-based control strategies Biomedical cyber-physical systems Ventricular assist device (VAD) control algorithms Her recent publications (2018–2023) demonstrate a strong trend toward integrating machine learning and data-driven modeling with classical control theory, particularly in medical and automotive domains. She frequently applies iterative learning and model predictive control to complex physiological systems, aiming to improve patient outcomes through adaptive, intelligent devices. Her work in robot-assisted training highlights interdisciplinary collaboration between engineering and clinical sciences. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: She completed her PhD in 2023 on iterative learning control in medical applications, indicating mentorship under Prof. Dirk Abel. She has advised or co-supervised junior researchers, as seen in collaborative publications with students and early-career authors (e.g., Xu Chen, Maximilian Basler). No specific grants are listed, but her research is likely supported by institutional and national funding given the scope and publication volume. Labs and Teams: Head of the Biomedical Systems research group at the Institute of Automatic Control, RWTH Aachen. Key collaborator in the IRT (Institute of Automatic Control) and IBF (Institute of Forming Technology) research groups, contributing to interdisciplinary projects involving robotics, AI, and medical devices.