Branislav Popović, PhD

Senior Researcher, Software Developer / Data Scientist / Artificial Intelligence / PhD ECE

University of Novi Sad

Biography

Senior researcher, consultant, software developer and lecturer, engaged in multiple commercial and scientific research projects (H2020, ERASMUS+, EUREKA, etc.) focused on cutting-edge speech technologies, speech and image processing, human-computer interaction, deep learning algorithms and artificial intelligence. A leading researcher in automatic speech recognition and head of the ASR team. As a chief programmer and research consultant contributed to developing the first high-quality speech synthesizer for Hebrew. As a researcher, programming developer and consultant contributed to developing ASR systems for Serbian and kindred South Slavic languages and a voice assistant mobile application for the Serbian language. Managed various project activities at technical development projects. Previously part-time engaged as an associate professor and a vice-dean for artistic and scientific-research work at the Academy of Arts in Belgrade. Founder and owner of the Computer Programming Agency Code85. Interested in the broad field of machine learning, data mining and human-computer interaction. Experienced in various IDEs, programming languages and software tools. Published numerous international scientific papers in journals and conference proceedings and applied for technical solutions and patents. Member of scientific committees of several national and international conferences. Acted as a reviewer for several international scientific journals. Obtained his PhD degree as the youngest doctor of technical sciences at the Faculty of Technical Sciences in Novi Sad. Gained over a decade of practical and industrial experience. Regular member of the Centre of Excellence CEVAS, a group for Acoustics and Speech Technology. Member of IEEE Computational Intelligence Society and IEEE Computer Society. Leader of the innovation working group of the Serbian AI Society.

Paper title

Style Adaptation Based on Image Processing Methods Using CycleGAN