Curriculum
Vitae
Name Balázs Renczes
Telefon: + 36-1/436-3585
E-mail: renczes@mit.bme.hu
Education:
·
2001
– 2007 High School:
Piarist High School, Budapest
·
2007
– 2010 University, BSc:
Budapest University of Technology and Economics, Faculty of Electrical
Engineering and Informatics (rating: summa cum laude)
·
2010
– 2013 University, MSc:
Budapest University of Technology and Economics, Faculty of Electrical
Engineering and Informatics (rating: summa cum laude)
·
2012
Spring University, MSc: Technische Universität Wien
(Technical University of Vienna, Austria)
·
2013
– 2016 Doctoral studies:
Budapest University of Technology and Economics, Doctoral School of Electrical
Engineering Sciences
·
2014
Spring Doctoral course
(1 month): Vrije Universiteit
Brussel (Free University of Brussels, Belgium)
Status, duties:
·
2016
– 2017 Assistant
lecturer: BME, Department of Measurement and Information Systems
·
2017 Defense of
Doctoral Thesis, rating: summa cum laude
·
2017
- Senior
Lecturer: BME, Department of Measurement and Information Systems
·
2019
- Responsible
for PhD students: BME, Department of Measurement and Information Systems
·
2020 General chair:
27th Minisymposium of the Department of Measurement
and Information Systems, 2020 Proceedings
link
·
2021 General chair:
28th Minisymposium of the Department of Measurement
and Information Systems, 2021 Proceedings
link
Awards, grants:
·
2020
Innovation
Grand Prize (Pro Progressio Foundation) - BME-HerO2
invasive and non-invasive international level respirator LINK
·
2020 Josef Heim
Innovation Special Award (Schnell László Foundation)
- Innovative work at technical creation aiming to mitigate or treat the
consequences of COVID-2020 pandemic LINK
·
2019
Spring BME Outstanding Lecturer Silver Level (Based
on Students’ rating) LINK
·
2018 Publication Award
(Schnell László Foundation) LINK
·
2017 Schnell László Publication Award (Schnell László
Foundation) LINK
BMe Researcher Grant 3. Award (BME) LINK
·
2016 Kollár István Publication Award
(Schell László Foundation) LINK
PhD Student Grant (Pro Progressio Foundation) LINK
Projektek:
·
2020 Ericsson Research
Grant LINK
·
2019 Ericsson Research
Grant LINK
·
2015-2018 NKFIH – OTKA Grant, Project
identifier: K-115820, title: Investigation of optimal parameter estimation methods,
Leader researcher: Dr. Kollár István,
final rating: excellent
Languages:
·
Hungarian
(Native)
·
English
(Upper intermediate)
·
German
(Advanced)
Last
Update: December 1, 2021