Balázs Renczes was born in 1988 in Budapest, Hungary. He received his Master's and Ph.D. degrees at the Budapest University of Technology and Economics in 2013 and 2017, respectively. Since 2017, he has been an Assistant Professor at the Department of Measurement and Information Systems.

His research area is digital signal processing, with a special emphasis on the numerical optimization of parameter estimation and system identification methods. Currently, he is supervising a Ph.D. student with a topic entitled "Investigation of roundoff errors in modern signal processing systems." Furthermore, with the research group of Vrije Universiteit Brussel, he is investigating tensor decomposition methods to improve nonlinear system identification algorithms. Since 2019, he has been responsible for the Ph.D. students in the Department.

He is the Course Coordinator for subjects Digital Signal Processing in Practice (VIMIBV09) and Modern products and development methods in the car industry (VIMIAV12).