معرفی
Anton Cervin is a Senior Lecturer at the Department of Automatic Control, Faculty of Engineering, Lund University. He is currently on leave of duty but remains actively involved in research and supervision. His work spans real-time systems, event-based control, cloud computing, and embedded systems, with strong ties to industrial applications and sustainable technologies.
His research interests include:
- Event-Based and Stochastic Control
- Networked and Embedded Control Systems
- Cloud-Based Control and Resource Management
- Real-Time Scheduling and Performance Analysis
- Digital Twins and Fluid Modeling in Cloud Environments
He has led major research projects funded by the Swedish Research Council, WASP, and ELLIIT, focusing on robust and secure cloud control, self-adaptive systems, and distributed learning. His software tools—TrueTime, Jitterbug, and TinyRealTime—are widely used in academia and industry for simulating and analyzing real-time control systems.
The most recent publications highlight a shift toward intelligent, adaptive control using reinforcement learning, fluid modeling for microservices, and timing-robust cloud control—indicating a strong trend in merging traditional control theory with modern computing paradigms.
His scientific contributions have been recognized with multiple Best Paper Awards:
- Best Paper Award - ECRTS 2021
- Best Paper Award - RTNS 2016
- Best Paper Award - RTCSA 2004
- Best Paper Award - ECRTS 2003
- Best Student Paper Award - RTCSA 1999
Anton Cervin has supervised numerous PhD students, including Max Nyberg Carlsson, Nils Vreman, and Claudio Mandrioli, and has served in key academic roles such as Director of PhD Studies and Deputy Head of Department. He has also led educational initiatives like doctoral study circles on programming languages and the history of control.
He is affiliated with research environments such as WASP and ELLIIT and contributes to UN Sustainable Development Goals through advancements in smart systems and sustainable automation.
