Jürgen Scheible

Jürgen Scheible is a Professor at the Faculty of Technology, Reutlingen University, specializing in Electronic Design Automation (EDA). He leads the Electronics & Drives Lab and the Reutlingen Energy Center (REZ), focusing on analog integrated circuit design automation, machine learning integration, and power electronics methodologies. His career spans academic and industrial roles, including 18 years at Robert Bosch GmbH before joining Reutlingen University in 2010.

• 1987: Dipl.-Ing. in Electrical Engineering, Karlsruhe Institute of Technology (KIT)
• 1991: Dr.-Ing. in Electrical Engineering, KIT

His research bridges procedural automation with artificial intelligence in analog IC design, addressing challenges in performance optimization, constraint handling, and thermal analysis of bond wires. Key projects include SWARM (self-organizing layout automation) and Bond Calculator (thermoelectrical simulation tool).

Recent publications emphasize differentiable surrogate models, reinforcement learning applications, and knowledge-based methodologies in EDA. He received the Südwestmetall Award for Scientific Talent in 1992 and has authored 2+ textbooks on analog layout fundamentals.

• 2024: Keynote on analog/digital design divergence
• 2023: Co-authored foundational EDA textbook
• 2022: Reinforcement learning integration

Labs and teams under his leadership conduct cutting-edge research in MEMS sensor parasitics, hybrid layout techniques, and full-custom IC design. His work establishes systematic frameworks for next-generation EDA tools.