‘To solve a difficult medtech problem, I used image processing and AI’

 Aline Faria de Lemos, a PhD student from Brazil, has already studied here in Hungary when she met with the opportunity of the Stipendium Hungaricum Scholarship. Now she is researching about a MedTech topic as a PhD student at BME Faculty of Mechanical Engineering, Department of MOGI. Interview.

'I have lived in Budapest for a year during my bachelor's degree. I won a scholarship for a sandwich degree, which meant a two semester-long period of my bachelor's in Hungary. To tell the truth, I did not know much about Hungary before, but when I got to Budapest, I saw that it is a beautiful city, with classical buildings and friendly people. After this year, which is a fond memory for me, I returned to Brazil, but I kept thinking about Budapest. 

During my masters in Brazil, I got to know about the Stipendium Hungaricum scholarship, and that it is available for PhD as well. That time I have already decided to continue my studies in a PhD programme. I started searching for doctoral programmes for mechanical engineering, that is how I have found the BME and especially the Department of MOGI (Mechatronics, Optics and Mechanical Engineering Informatics). I also had a look at the scientific performance of the professors and lecturers here, seeing, that they are highly qualified and are doing serious research, like my supervisor, Balázs Vince Nagy. Besides, I already had some friends who studied here and were satisfied with the education and the research opportunities.' More

Former GPK MOGI student researched the navigation of jumping robots on asteroids in Japan

Interview with Gábor Kovács who made his master degree in mechatronics engineering at BME Faculty of Mechanical Engineering (GPK). They received his PhD degree at Chuo University in Japan, with his study focusing on image processing.

'My research was in connection with small exploration rovers, to be sent on foreign celestial bodies. These rovers have to be controlled in various ways. For instance, with remote control, the Moon is easily reachable in a few seconds. But between Earth and Mars, it takes some minutes, so they are out of reach in real-time. Thus, the robot can navigate itself with computer vision.  From the image, it has to recognize obstacles, for instance, if there is a rock: the rover has to realize that it cannot cope with the rock and evade.' More