Levente Hunyadi


In framing an ideal we may assume what we wish, but should avoid impossibilities.


PhD candidate
Budapest University of Technology and Economics (BME) Department of Automation and Applied Informatics (BME-AAIT)

Research topics: parameter estimation problems in system identification and computer vision, model reconstruction in the presence of measurement noise

Brief description: With applications in computer vision and pattern recognition, I have 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 have proposed an effective nonlinear parameter estimation method.


PhD student
Budapest University of Technology and Economics (BME) Department of Automation and Applied Informatics (BME-AAIT)

As part of my research work, I have been working on parameter estimation problems in the so-called errors-in-variables context. In this setting, one is intested 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 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.

In addition, I have been teaching several courses on introductory programming, databases and software design, and taken part in open- and closed-source projects.


MSc student
Budapest University of Technology and Economics (BME) Faculty of Electrical Engineering and Information Technology (VIK)

I am an MSc graduate of Budapest University of Technology and Economics in major software engineering. I concluded studies on June 19, 2007 with excellent results (rating 4.94 out of 5.00).


Interational Baccalaureate student

Bilingual Diploma (English–Hungarian); excellent results (44 out of 45) 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 am an awardee of English-Hungarian bilingual IB diploma. My Theory of Knowledge essay and Extended Essay have been both graded A. PDF


High school student
Karinthy Frigyes Bilingual High School

Hungarian–English bilingual faculty.