جست‌وجوی استاد و پژوهشگر

Marco Huberمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence
• Robotics
• +۷ مورد دیگر

Prof. Marco Huber serves as Professor for Cognitive Production Systems at the University of Stuttgart's Institute of Industrial Manufacturing and Management (IFF) and heads the Center for Cyber-Cognitive Intelligence (CCI) at the Fraunhofer Institute for Manufacturing Engineering and Automation (IPA). Born on January 12, 1980 in Kehl, Prof. Huber earned his Ph.D. in computer science from the University of Karlsruhe (TH) in 2009. His career path includes leading the research group "Variable Image Extraction and Processing" at Fraunhofer IOSB (2009-2011), working as Senior Researcher at AGT International (2011-2015), and managing product development and data science services at USU Software AG while serving as adjunct professor at Karlsruhe Institute of Technology. His research addresses critical limitations in current production automation systems, which suffer from rigid specifications and lack adaptive intelligence. Prof. Huber investigates how machine learning and artificial intelligence can enable production systems to autonomously adapt to changing requirements, particularly important given increasing demands for production personalization that conflict with traditional high-effort reprogramming processes. His work spans machine learning applications in industrial contexts, robotics integration, and digital transformation of manufacturing processes. The 2019 publication "Self-optimization in the production hall: Cognitive production systems" demonstrates his focus on creating intelligent production environments that optimize themselves through data-driven approaches. As head of the Center for Cyber-Cognitive Intelligence, Prof. Huber leads research bridging academic innovation with industrial application in next-generation manufacturing technologies. His work connects with the University of Stuttgart's strategic focus on Production Technologies and aligns with Germany's leadership in Industry 4.0 initiatives.

Thomas Bauernhanslمشاهده پروفایل

استاد

• Production Technologies
• Bioeconomy
• Biointelligence
• +۳ مورد دیگر

Prof. Dr. Thomas Bauernhansl leads the Institute for Industrial Manufacturing and Factory Management (IFF) at the University of Stuttgart and the Fraunhofer Institute for Manufacturing Engineering and Automation (IPA) since 2011. His research focuses on sustainable production technologies and Industry 4.0, emphasizing holistic system transformations that balance efficiency with effectiveness. University of Stuttgart Fraunhofer IPA Research Interests: Prof. Bauernhansl's work centers on next-generation production systems, integrating sustainability into industrial innovation. Key areas include: Industry 4.0 and digital transformation Resource-efficient manufacturing Biointelligence and bioeconomy applications Factory planning and control systems

Ane Kristine Espesethمشاهده پروفایل

پژوهشگر ارشد

• Cognitive Science
• Artificial Intelligence
• Large Language Models
• +۳ مورد دیگر

Ane Kristine Espeseth is a Research Fellow at the Center for Computing in Science Education (CCSE), University of Oslo, where she conducts doctoral research at the intersection of cognitive science and artificial intelligence. Her work focuses on developing interpretation frameworks for large language models to understand cognitive processes in both biological and artificial systems, while actively serving as student representative for the International Society for Artificial Life. Her academic foundation includes: Bachelor of Arts (Honours) in Computer Science from the University of Cambridge, United Kingdom Master of Science in Cognitive Science from Seoul National University, South Korea Dr. Espeseth's research employs concept-based and mechanistic approaches—including contextual embeddings and neural circuit analysis—to decode how large language models process information, drawing parallels between artificial systems and human cognition. Her methodology spans language acquisition modeling in children, evolutionary algorithms for socially adaptive chatbots, bio-inspired computing paradigms, and abstract mathematics, reflecting a deeply interdisciplinary approach to cognitive-AI convergence. Her scientific recognition features: First place at the European Contest for Young Scientists (2016) She maintains active research collaborations through the Human Factors Lab and BioIntelligence Lab at Seoul National University, while currently advancing computational science education initiatives at the University of Oslo's CCSE, where she also instructs HON2200 – Data-driven projects for the spring 2025 semester.