Home - ADMORPH

Autonomous Aerospace Systems

Will demonstrate adaptability as a key enabler for autonomy in the context of a System of Systems involving autonomous aircrafts and Air Traffic Control (ATC).

Radar Surveillance Systems

Will demonstrate the ability of the ADMORPH approach to achieve fault tolerance as needed for reliable and robust real-time data processing in radar surveillence systems.

Subway Transportation Systems

Will demonstrate the suitability of ADMORPH methods for supporting real-time and transparent reconfiguration of a Train Supervision Surveillance System.

Adaptive Design of Real-Time Control Systems subject to Sporadic Overruns

By Martina Maggio|2021-02-19T19:36:34+00:00January 28th, 2021|

In ADMORPH, we look at the guarantees that we can provide for embedded systems that [...]

Testing systems in the presence of adaptation

By Martina Maggio|2020-12-08T14:18:29+00:00December 2nd, 2020|

With the realisation of the ADMORPH vision embedded systems will gain the ability to change [...]

ADMORPH article on HiPEAC info

By admorph|2020-07-13T19:06:54+00:00July 13th, 2020|

The HiPEAC Info magazine is a quarterly publication providing the latest news on the activities [...]

Cristiana Bolchini talks
about her interest and
experience as a women in CS

Adaptive, dynamically morphing, mission and safety-critical CPS (oS).

Autonomous Aerospace Systems

Radar Surveillance Systems

Subway Transportation Systems

Adaptive Design of Real-Time Control Systems subject to Sporadic Overruns

Testing systems in the presence of adaptation

ADMORPH article on HiPEAC info

Cristiana Bolchini talks about her interest and experience as a women in CS

Adaptive, dynamically morphing, mission and safety-critical CPS (oS).

Autonomous Aerospace Systems

Radar Surveillance Systems

Subway Transportation Systems

Adaptive Design of Real-Time Control Systems subject to Sporadic Overruns

Testing systems in the presence of adaptation

ADMORPH article on HiPEAC info

Cristiana Bolchini talks
about her interest and
experience as a women in CS