First name: Slobodan
Last name: Djukanović
Birth date: July 4, 1976.
Sex: Male
Marital status: Married, 3 children
Citizenship: Montenegro
Digital signal processing
Machine learning
Deep learning
Spectral analysis
Time-frequency signal analysis
Parameter estimation
Programming
Object-oriented software design
Mobile application development (Android, iOS)
Web design
I received the BSc, MSc and PhD degrees in electrical engineering from the University of Montenegro, Podgorica, in 2001, 2004 and 2008, respectively. Currently, I hold a position as a Full Professor at University of Montenegro, Faculty of Electrical Engineering. My teaching topics include procedural programming (C language), object-oriented programming (Java) and event-driven programming (Visual Basic for Applications). I have co-authored three textbooks in programming.
As a postdoc (July 2008 – June 2009), I joined a group led by prof. Nadine Martin within GIPSA-lab, a research unit of CNRS, in Grenoble, France, where I was involved in the implementation of the TetrAS project, funded by CNRS. The TetrAS objective was to develop an automatic expert-level high-resolution spectral analyser.
I was a visiting professor at Università Degli Studi di Napoli “Parthenope”, Naples, Italy, where I held the course “Fourier analysis and instantaneous frequency estimation” on doctoral studies of Dipartimento di Ingegneria (December 2015 – July 2016).
I held a position of Scientific Director of the first Centre of Excellence in Montenegro (BIO-ICT) during June 2015 – November 2017.
During August 2019 – November 2020, I was full-time employed as a researcher at Czech Technical University, Faculty of Electrical Engineering, Department of Cybernetics on the „Audio-visual object classification and sound event recognition by unsupervised co-training“ project (supervised by Prof. Jiří Matas).
I have authored 82 scientific papers, of which 29 in international journals. The full list of publications can be found at http://www.tfsa.ac.me/slobodan_papers.html. I am also a reviewer for the most prestigious journals in the field of Signal Processing.