MDH research makes everyday apps more efficient and reliable

Mar 21, 2018 | Research/Cooperation

Alessandro Papadopoulos researches on how computing devices and software applications that we use on a daily basis can be more efficient and reliable, using control theory. In his lecture, titled "Control of Computing Systems", he explains how control theory can be used for the design and implementation of these computer systems.

- The number of interconnected devices or technologies that can connect to the Internet, such as smartphones and computers, is constantly increasing. Such devices contain a variety of applications that we use in our everyday life. Applications can range from home automation to health programs, from autonomous vehicles to industry 4.0. My research is devoted to make such devices more efficient and reliable, by adopting a mathematically ground approach, that is control theory, says Alessandro Papadopoulos, a researcher and lecturer in computer systems and control at the School of Innovation Technology and Design, at MDH.

  After taking a PhD in Information Technology - Systems and Control, from the Politecnico di Milano, Alessandro Papadopoulos moved to Sweden and started working as a Postdoctoral Researcher at Lund University. During his time in Lund he started working on applying control theory to real-time systems and cloud computing systems. In 2016, Alessandro Papadopoulos began his career at MDH and continued his work on applying control theory to two more systems; IoT (Internet of Things) and Industry 4.0 (the Fourth Industrial Revolution).

On March 21 at 13:00 in room Lambda, at MDH in Västerås, Alessandro Papadopoulos holds his docent lecture titled "Control of Computing Systems".

- My docent lecture will focus on the use of control theory for the design and implementation of computing systems, ranging from embedded devices, up to cloud computing systems. In particular, I will discuss what is control theory, how control theory can be used for designing efficient solutions for controlling the behavior of computing systems, and presents some successful applications, together with current challenges and opportunities in the field, says Alessandro Papadopoulos.