

Jussi Aaltonen
About me
I am an Associate Professor of reliability engineering of machine systems at Tampere University, specializing in the resilience of mission-critical machine systems. My work centers on developing resilient system technologies and architectures and validating them through full-scale prototypes and extended field testing in harsh, unpredictable environments. This hands-on approach ensures that advanced concepts in fault tolerance, autonomous control, and system dependability are proven under real-world conditions.
Building on extensive experience with heavy mobile machinery, military aircraft systems, and autonomous platforms for air, ground, and maritime applications, I integrate mechanical engineering, control systems, and embedded technologies to deliver solutions that meet the highest standards of reliability, resilience, and lifecycle performance.
Close collaboration with industry and defense partners is essential to my research, enabling innovations that enhance safety, operational continuity, and performance optimization for complex machine systems.
Responsibilities
Mechatronics Laboratory - Website
Advanced Studies in Aircraft Engineering - Study guide (60 cr module) / Study guide (80 cr module)
Technical Director of UAS Flight Operations - TAU Intra - Drone Operations
Fields of expertise
Resilience and Dependability for Mission-Critical Machine Systems
Developing reliable, resilient, and fault-tolerant technologies for machine systems operating in harsh and unpredictable environments. Applications include heavy mobile machinery, military aircraft systems, and autonomous platforms across air, ground, and water—serving industrial and defense sectors.
Research Focus
- Developing fault-tolerant systems and architectures for mission-critical systems
- Advancing system-level diagnostics with predictive and prescriptive maintenance
- Optimizing lifecycle performance for autonomous and hybrid machines
By combining mechanical engineering, control systems, and embedded technologies, intelligent autonomy and dependable operation under extreme conditions are enabled.