In framing an ideal we may assume what we wish, but should avoid impossibilities.
Aristotle, Politics, Book Two, Part VI
PhD in Computer Science
Budapest University of Technology and Economics (BME) Department of Automation and Applied Informatics (BME-AAIT), 2007-2014, summa cum laude
Research topics: parameter estimation problems in system identification and computer vision, model reconstruction in the presence of measurement noise
Brief description: As part of my research work, I worked on parameter estimation problems in the so-called errors-in-variables context. In this setting, one is interested in discovering the relationship between measured variables of a system. The difficulty arises from that one is not able to identify a dependent variable and a set of independent variables and employ standard tools in statistics. In contrast, all variables are noisy, and the system is best captured with an implicit equation f(x)=0. Such problems are difficult when f is a linear relationship and there is no information on the measurement noise but even more so for nonlinear f.
With applications in computer vision and pattern recognition, I proposed fast, robust and accurate methods for estimating parameters of curves and surfaces captured with an implicit model f(x)=0, and clustering methods for scattered point clouds (e.g. 3D data acquired with a laser scanner) in which the entire model is a composition of such curves and surfaces. In the context of identifying dynamic systems (when observations are coupled in time), I proposed an effective nonlinear parameter estimation method.
In addition, I taught several courses on introductory programming, databases and software design, and took part in open- and closed-source projects.
MSc in Computer Engineering
Budapest University of Technology and Economics (BME) Faculty of Electrical Engineering and Information Technology (VIK), 2002–2007, graduated with honors
I hold a Master's degree from the Budapest University of Technology and Economics in major software engineering and distributed systems, and specialization in enterprise technologies, declarative programming, data mining and web technologies. I concluded studies on June 19, 2007 with excellent results: rating 4.94 (out of 5.00), earned 351 credits (of 300 prescribed), received Scholarship of the Republic of Hungary (awarded to 0.8% of state-financed students) and Scholarship of the BME Faculty of Electrical Engineering and Informatics, professional category, 2005, 2006, 2007.
International Baccalaureate diploma
Karinthy Frigyes Bilingual High School, 2000–2002
Bilingual Diploma (English–Hungarian); excellent results (44 out of 45, within top 0.5%) in subjects English B HL, Economics HL, Physics HL, Mathematics HL, Hungarian SL and German B SL; Extended Essay and Theory of Knowledge Essay both qualified A.
As a two-year program student I attended IB courses between 2000 and 2002 and completed final examinations with outstanding results (44 out of 45 points) in subjects English, Economics, Physics, Mathematics (higher level), Hungarian and German (standard level). I was awarded an English-Hungarian bilingual IB diploma. My Theory of Knowledge essay and Extended Essay have been both graded A. PDF