جستجوی استاد راهنمای دانشگاهی

Marco Oesting is a Tenure-Track Professor at the Stuttgart Center for Simulation Science (SC SimTech) and the Institute of Stochastics and Applications, University of Stuttgart. He holds a PhD in Mathematics from the University of Göttingen (2012) and a Habilitation from the University of Siegen (2020). His research focuses on extreme value theory, spatial statistics, and stochastic processes, particularly in the context of environmental and climate data analysis. He leads the Computational Statistics Group and has contributed to the development of simulation algorithms for max-stable processes and statistical methods for analyzing extreme events. Education: PhD in Mathematics, University of Göttingen (2012) Habilitation in Mathematics, University of Siegen (2020) Diploma in Mathematics, University of Göttingen (2009) Research interests include: Modeling and simulation of extreme events Max-stable processes and their applications Statistical inference for spatial and temporal extremes His recent work emphasizes scalable methods for high-dimensional extremes and computational statistics. He has published extensively in top-tier journals like Annals of Statistics , Biometrika , and Extremes . Awards and recognition include contributions to the R package RandomFields , and his active role in organizing the 'One World Extremes Seminar' (2020–2023). Teaching responsibilities include courses on stochastic simulation, extreme value theory, and mathematical statistics at both undergraduate and graduate levels.

• Extreme Value Theory
• Spatial Statistics
• Stochastic Processes
• +۳ مورد دیگر

Prof. Moritz Diehl is a Professor at the University of Freiburg, leading the Systems Control and Optimization Laboratory within the Department of Microsystems Engineering (IMTEK) and affiliated with the Department of Mathematics. Born in Hamburg, Germany, he holds a Ph.D. from Heidelberg University (2001) and previously served as a professor at KU Leuven (2006–2013), where he directed the Optimization in Engineering Center (OPTEC). His research focuses on optimization and control, emphasizing numerical methods for engineering applications, particularly embedded systems and renewable energy. Key areas include model predictive control (MPC), nonlinear optimization, and real-time control systems. Education: He studied physics and mathematics at Heidelberg University and the University of Cambridge (1993–1999), culminating in a Ph.D. in Scientific Computing. His academic journey includes roles at KU Leuven and Freiburg, where he has developed influential tools like the AWEbox framework for airborne wind energy systems and the acados optimization library. Research Interests: His work spans numerical optimal control, MPC algorithms, and their applications in robotics, energy systems, and automotive engineering. Recent advancements include collision-free motion planning, real-time NMPC with convex-concave constraints, and stochastic control methods for mobile robots. He also explores optimization for hybrid systems, leveraging finite elements and switch detection for nonsmooth dynamics. Publications: His 2023–2025 work highlights contributions to MPC stability, energy-efficient control systems, and software tools like LCQPow for quadratic programming. His research bridges theory and practice, addressing challenges in industrial processes, renewable energy integration, and autonomous systems. Labs & Teams: He leads the Systems Control and Optimization Lab, fostering interdisciplinary projects in optimal control, robotics, and sustainable energy. His group collaborates on tools like acados, emphasizing real-time feasibility and scalability for complex systems.

• Optimization
• Control Systems
• Embedded Systems
• +۳ مورد دیگر

Aurelio Mateo-Alonso is a Professor at the University of the Basque Country, leading the Molecular and Supramolecular Materials Group at POLYMAT (Basque Center for Macromolecular Design and Engineering). He holds an Ikerbasque Research Professorship and coordinates research in advanced materials. His academic journey includes a BSc and MSc in Organic Chemistry from Universidad Autónoma de Madrid (1999-2000), a PhD from Queen Mary College, University of London (2003), and postdoctoral research at Università di Trieste (2004-2009). Since 2009, he has led independent research at the School of Soft Matter Research, Freiburg Institute for Advanced Studies (Germany), before joining POLYMAT in 2012. His research focuses on conjugated organic materials, low-dimensional systems (e.g., polycyclic aromatic hydrocarbons), self-assembly into hybrid nanostructures, and applications in electronics/energy. Key themes include molecular machines, fullerene-functionalized architectures, and NIR-absorbing materials. Prominent awards include the Young Investigator Prize (2007), Eugen-Graetz Prize (2009), ERC Consolidator Grant (2016), and the Research Excellence Award (2021). His work bridges molecular design and functional materials, with contributions to molecular shuttles and energy-related nanomaterials. Grants and leadership include coordination of the Molecular and Supramolecular Materials Group and involvement in the AcroBioPLAST project (Interreg-POCTEFA). His lab at POLYMAT collaborates broadly, focusing on advanced materials for next-gen applications.

• Organic Chemistry
• Materials Science
• Nanotechnology
• +۳ مورد دیگر

Antje Pohl is a Researcher at the Integrated Systems team under the Faculty of Electrical Engineering and Information Technology at Ruhr-Universität Bochum . She is affiliated with the Bochum Institute of Technology gGmbH (BO-IT) and contributes to interdisciplinary research at the intersection of biomedical engineering, cardiac neuromodulation, and medical device innovation. Key Research Areas: Biomedical Signal Processing, Cardiac Neuromodulation, Capacitive ECG Systems, Ultrasound Applications in Medicine, Bioimpedance Spectroscopy Projects: Cardiac Neurostimulation Systems, IoT Water Quality Monitoring, Ultrasound-Assisted Drug Delivery Her publications (2010–2023) focus on cardiac rhythm control , non-invasive diagnostics , and ultrasound-enabled medical technologies , with applications spanning cardiovascular monitoring, hospital accessibility, and environmental engineering. She collaborates extensively with institutions like Shaker Verlag , Nagoya University , and Purdue University .

• Biomedical Engineering
• Medical Device Development
• Cardiac Neuromodulation
• +۳ مورد دیگر

Anne Wohlauf is a Researcher at the Design Research Lab, an interdisciplinary team affiliated with Berlin University of the Arts, German Research Center for Artificial Intelligence (DFKI), Weizenbaum Institute for the Networked Society, and Einsteincenter Digital Future (ECDF). She joined the lab in 2008 as a research assistant and currently works as a designer on security and identity management projects, including the 'trust-me' initiative. Wohlauf studied Interface Design at the Potsdam University of Applied Sciences, providing her foundation in design thinking and technical implementation. Her research trajectory shows a consistent focus on creating meaningful physical-digital connections through tangible interfaces. Her primary research interests center around participatory design and tangible interaction, with particular emphasis on how physical properties of devices can enhance user experience. Wohlauf's work explores how shape-changing interfaces, weight shifting mechanisms, and haptic feedback systems can create more intuitive and emotionally resonant interactions with mobile technology. Her publications reveal a sustained investigation into how mobile devices can express 'body language' and respond to user proximity and touch in meaningful ways. Analysis of Wohlauf's publication history from 2009-2017 shows a clear research trajectory in intimate mobile interfaces, with increasing sophistication in how devices can respond to user behavior through physical actuation. Her work sits at the intersection of human factors engineering, interaction design, and social computing, with applications in security, identity management, and everyday mobile interactions. As part of the Design Research Lab, Wohlauf contributes to the lab's mission of creating socially and ecologically sustainable tools that support people's participation in digital society. The lab operates at the intersection of technologies, materials, and social practices, with principles of inclusiveness and respect for the planet guiding their work.

• Participatory Design
• Tangible Interaction
• Human-Computer Interaction
• +۲ مورد دیگر

Hannah Stuart is Assistant Professor of Mechanical Engineering at the University of California at Berkeley and Visiting Professor at the Cluster of Excellence IntCDC. She holds the Don M. Cunningham Endowed Professorship and focuses on embodied intelligence for robotic dexterity in challenging environments. Education: BS in Mechanical Engineering (George Washington University, 2011), MS and PhD in Mechanical Engineering (Stanford University, 2013/2018) Affiliations: UC Berkeley, Max Planck Institute for Intelligent Systems Research Themes: Her work pioneers tactile robotics through bioinspired design, developing novel manipulation strategies for unstructured environments. Key areas include soft multi-material mechanisms, skin contact physics, and terrain-adaptive locomotion systems. 2023 Articles: Addressed locomotion physics in regolith, friction mechanics in tether systems, and prosthetic transmission tradeoffs 2022 Breakthrough: Created mole crab-inspired self-burrowing robots for subterranean exploration Scientific Recognition: NSF CAREER grant NASA Early Career Faculty award Technical Contributions: Innovations in tactile sensing hardware, including smart suction cups (IROS 2021) and textured skin friction systems (IEEE RA-L 2020). Her lab, Embodied Dexterity Group , emphasizes real-world contact physics for robotic applications.

• Dexterous manipulation
• Bioinspired design
• Soft robotics
• +۴ مورد دیگر

Tiffany Cheng is an incoming Assistant Professor at Cornell University's Department of Design Tech . She previously led the Material Programming Research Group at the Institute for Computational Design and Construction (ICD) and Cluster of Excellence IntCDC at the University of Stuttgart from 2017 to 2024. Her work bridges computational design, biomimicry, and robotics to create transformative material systems. Research Interests focus on bio-inspired and bio-based material programming through 4D printing , self-shaping mechanisms , and environmentally responsive materials . She develops digital workflows for mass-customizing material properties and deploying structures across scales—from self-regulating facades to self-adjusting wearables . Her recent publications and projects explore hygromorphic adaptive shading , cross-sectional 4D printing , and hybrid additive fabrication of biocomposite structures. These align with her broader themes of material intelligence and passive multi-phase actuation . 2024 Falling Walls Lab Baden-Württemberg: Audience Award 2023 Materialpreis: ❤ Award 2022 3D Pioneers Challenge: Finalist 2020 Living Machines: 1st Best Paper Award She has taught courses on Architectural Biomimetics and Master's Thesis Preparation at the University of Stuttgart, and conducted workshops globally including Digital FUTURES and ACADIA . Her MULTIMESO Lab at Cornell will continue advancing integrative technologies for self-shaping systems.

• Computational Design
• Material Science
• Biomimicry
• +۵ مورد دیگر

Moataz Abdelaal is a Researcher at the Visualization Institute of the University of Stuttgart (VISUS), affiliated with the Weiskopf Working Group and the Cluster of Excellence IntCDC. His work bridges visualization techniques with architecture, engineering, and computational design. Research Interests: He focuses on scalable visualization systems, network visualization, empirical user evaluation, and computational design frameworks for fibre composite building systems. His projects include dynamic graph visualization, redundancy matrix optimization in structural engineering, and visualization literacy assessment. Teaching: He contributes to courses on Theoretical and Methodological Foundations of Visual Computing, Information Visualization, Image Synthesis, and Scientific Visualization. Labs & Teams: Moataz collaborates with the Weiskopf Working Group at VISUS, working on interdisciplinary visualization challenges in architecture and engineering.

• Visualization
• Computational Design
• Network Visualization
• +۴ مورد دیگر

Stefanie Klatt is a Professor in the Department of Cognition in Team Sports at the German Sport University Cologne. Her research focuses on integrating cognitive factors into the analysis and optimization of training and movement processes in sports games. Current academic leader in team sports cognition Active editorial contributor to sports science journals International collaborations with institutions like University of Brighton Her research spans Sports Science , Cognitive Psychology , and Motion Analysis , particularly examining attention mechanisms, decision-making dynamics, and cognitive-motor integration in high-pressure sports scenarios. Recent work explores stress responses in referees and novel training interventions for athletes. Key publication trends include team sports cognition , performance optimization , and health promotion initiatives. Awards include the DOSB Science Prize (2016) and Honorary Research Fellowship at University of Brighton (2020). DOSB Science Prize 2016 DVS Publication Prize 2015 Karl Hofmann Research Prize 2015 Honorary Research Fellow, University of Brighton 2020 Excellence in Research Award 2023 She supervises junior researchers like PhD student Benjamin Noël and leads third-party funded projects on referee training, movement analysis, and public health interventions through insurance partnerships.

• Sports Science
• Cognitive Psychology
• Motor Learning
• +۴ مورد دیگر

Stephen Baek is a faculty member at the University of Iowa, Department of Industrial and System Engineering, with a PhD from Seoul National University's School of Mechanical and Aerospace Engineering. His research spans interdisciplinary applications of machine learning in computational modeling, biomedical engineering, and geometric data processing. Current Affiliation: University of Iowa, Department of Industrial and System Engineering PhD Institution: Seoul National University Stephen's work focuses on physics-informed machine learning , multiscale modeling , and geometric deep learning . He develops algorithms that integrate physical principles with neural networks for applications in energetic materials , human pose estimation , and medical imaging . His research also includes federated learning and interpretable AI for constraint-based synthesis and text classification. Recent publications highlight a physics-aware deep learning framework (PARCv2) for spatiotemporal dynamics, graph convolutional networks for airway mesh smoothing, and prototype trajectory methods for explainable AI. This work bridges computer science with applied physics and healthcare domains. Stephen actively collaborates across disciplines, evidenced by co-authors from institutions like Iowa, Seoul National University, and Samsung Electronics, with publications in venues such as CoRR , J. Mach. Learn. Res. , and NeurIPS . His methodological innovations address challenges in model heterogeneity , 3D surface processing , and constraint satisfaction .

• Machine Learning
• Computational Modeling
• Biomedical Engineering
• +۳ مورد دیگر

Volker Dürr is a Professor of Biological Cybernetics at Bielefeld University , Faculty of Biology, and a member of the Center for Cognitive Interaction Technology (CITEC) . His work focuses on sensory control of locomotion , active tactile sensing in insects , and biomimetic modeling of movement systems. Education : Habilitation in Zoology (University of Cologne, 2008; Bielefeld, 2005), PhD in Biology (Bielefeld, 1998), Diploma in Biology (Tübingen, 1994) Academic Career : Professor at Bielefeld (2009-present), Junior Research Group Leader (University of Cologne, 2007-2009), Research Assistant (Bielefeld, 1998-2006) His research investigates how insects use antennal mechanosensory systems and proprioception to control locomotion in complex environments. Key themes include goal-directed movements , sensorimotor integration , and biomimetic robotics . Publications emphasize tactile sensing (15/23 articles), neural control of movement (9/23), biomechanical modeling (7/23), and cross-species locomotion analysis (4/23). Recent work explores virtual reality paradigms for locomotion studies and spiking neural networks for proprioceptive modeling.

• Sensory control of locomotion
• Active sensing in insects
• Insect sense of touch
• +۳ مورد دیگر

Claudia Redenbach is a Professor and Dean of Mathematics at RPTU Kaiserslautern, Germany. She is affiliated with the Department of Mathematics and leads the Statistics Working Group (AG Statistik), with additional connections to the Department of Statistics and the Graduate School 'Mathematics as a Key Technology.' Position: Dean of Mathematics Institution: RPTU Kaiserslautern Location: Building 48, Room 534, Gottlieb-Daimler-Straße, 67663 Kaiserslautern Contact: claudia.redenbach@rptu.de | +49 (0)631 205 3620 Professor Redenbach's research focuses on the intersection of stochastic geometry, spatial statistics, and image analysis with applications in materials science. Her work bridges theoretical mathematics with practical engineering applications, particularly in analyzing microstructures of concrete, foams, composites, and other materials. She has developed innovative methods for analyzing spatial point patterns, directional data, and 3D image data from various microscopy techniques including CT, FIB-SEM, and light-sheet microscopy. Her recent publications (2024-2025) reveal a strong emphasis on computational methods for materials analysis, including crack detection in concrete, fiber orientation analysis, artifact removal in imaging, and the development of mathematical morphology techniques for directional data. She frequently collaborates with materials scientists and engineers, with K. Schladitz appearing as a consistent co-author across numerous publications. Her work demonstrates a consistent focus on developing mathematical tools that solve practical problems in materials characterization and analysis. Professor Redenbach has made significant contributions to spatial statistics, particularly in anisotropy analysis of point patterns, and to the application of stochastic geometry models for material microstructure analysis. Her research spans both theoretical developments in statistical methods and their practical implementation for real-world materials science problems.

• Stochastic Geometry
• Spatial Statistics
• Image Analysis
• +۳ مورد دیگر

Evgeniy Yakovlevich Glushkin serves as an Associate Professor in the Department of Electric Power Engineering, Mechanical Engineering and Automobile Transport at the Khakass Technical Institute (branch of Siberian Federal University) in Abakan, Russia. With 46 years of total work experience and 45 years in his specialty, he teaches core electrical engineering subjects including electric machines, power electronics, and theoretical foundations of electrical engineering. His educational credentials include a degree in Electrical Engineering from Krasnoyarsk Polytechnic Institute (1976) and a Candidate of Technical Sciences (PhD equivalent) earned in 1999 for his dissertation on "Optimization of control of electrical systems with synchronous generators". Glushkin's research centers on control systems for electrical networks and industrial machinery, with a focus on optimizing power systems, electric drives, and power electronics applications. His work addresses critical challenges in power distribution reliability and the modernization of heavy machinery such as excavators and milling equipment. Analysis of his publications from 2015-2022 reveals a sustained emphasis on practical engineering solutions, particularly in enhancing electrical network capacity and developing optimal control systems for industrial drives. His interdisciplinary approach bridges electrical engineering, mechanical systems, and industrial automation. His contributions have been recognized through multiple awards: Letter of thanks from the Supreme Council of the Republic of Khakassia (2021) Certificate of honor from Khakass Technical Institute (2016) Badge of honor "For development of students' research work" (Russian Ministry of Education, 2006) Honorary Diploma from Russian Ministry of Education (2001) Glushkin has secured and led significant research funding, including SFU Grant Center projects (2008-2009) on predictive control of stochastic electrical systems and Russian Foundation for Basic Research grants targeting non-stationary electrical systems with synchronous generators. His leadership in these projects demonstrates sustained research productivity. While not explicitly affiliated with specific laboratories in the provided text, his work appears integrated within the Department of Electric Power Engineering, collaborating on initiatives related to industrial machinery modernization and power systems optimization, likely engaging with the Young Engineer Training Center for practical student projects.

• Control Systems
• Power Systems
• Electric Drives
• +۲ مورد دیگر

Dr. Robert Haschke serves as a Professor and Responsible Investigator in the Cognitive Systems and Social Interaction Group at Bielefeld University's Faculty of Engineering. He is affiliated with the Center for Cognitive Interaction Technology (CITEC) and serves on the Examination Board for the Intelligent Interactive Systems Master's program. His office is located at CITEC 2-035, and he can be reached at rhaschke@techfak.uni-bielefeld.de or +49 521 106-12122. Professor Haschke's research spans multiple domains of robotics and artificial intelligence, with particular emphasis on tactile sensing systems, robotic manipulation, and human-robot interaction. His work explores advanced methods for enabling robots to perceive their environment through touch, with applications in assistive robotics and industrial automation. He investigates how machines can learn from human interactions and adapt their behavior through reinforcement learning and sensor fusion techniques. His research bridges theoretical advances with practical implementations, focusing on transferring knowledge from simulation to real-world robotic systems. Analysis of Professor Haschke's recent publications reveals a strong trajectory toward more sophisticated tactile perception systems and their integration with language and vision for natural human-robot collaboration. His work consistently addresses the simulation-to-reality gap, developing methods for transferring control policies from virtual environments to physical robots. The research shows increasing integration of multimodal sensing (tactile, visual, linguistic) to enable more capable and adaptable robotic manipulation in unstructured environments. As an educator, Professor Haschke teaches advanced courses including Robot Manipulators (39-Inf-RM), Advanced Artificial Intelligence (39-M-Inf-AI-adv_a), Advanced Artificial Intelligence (focus) (39-M-Inf-AI-adv-foc), and Basics of Artificial Intelligence (39-M-Inf-AI-bas). His teaching reflects his research expertise, providing students with both theoretical foundations and practical skills in robotics and AI. Professor Haschke is an integral member of Bielefeld University's Cognitive Systems and Social Interaction Group within CITEC. His work contributes significantly to the university's Socio-Technical World research area, particularly in developing capabilities that enable agents (humans, robots, and AI systems) to act, communicate, and learn in complex environments. His research group focuses on creating robotic systems that can interact naturally with humans through advanced perception and adaptive control mechanisms.

• Robotics
• Artificial Intelligence
• Human-Robot Interaction
• +۳ مورد دیگر

Sankarasubramanian Ragunathan holds a Doctorate in Natural Sciences (Dr. rer. nat.) and is currently affiliated with the Chair of Mathematics for Uncertainty Quantification (MATH4UQ) at RWTH Aachen University. His academic journey includes a B.Tech in Mechanical Engineering from Amrita Vishwa Vidyapeetham, India, and an M.Sc. in Simulation Sciences from RWTH Aachen, completed in 2021. Research Focus: Higher-order numerical schemes, Monte Carlo methods, and stochastic differential equations (SDEs) for exit time computations. Expertise in Physics-Informed Neural Networks (PINNs) and uncertainty quantification. Recent publications highlight his work on multilevel Monte Carlo methods, adaptive algorithms for Itô diffusions, and applications to aerospace engineering. His career spans academia and industry, including a role as Associate Software Engineer at Bosch Global Software Technologies Pvt. Ltd., where he specialized in CFD simulations. Key Article Trends: Development of higher-order numerical techniques, Monte Carlo optimizations, and interdisciplinary applications in fluid dynamics and stochastic processes.

• Numerical Methods for SDE
• PINNs
• Monte Carlo Methods
• +۵ مورد دیگر