The Signal Processing Group is part of the Institute of Electronics, which belongs to the Faculty of Computer Science, Electronics and Telecommunications at AGH University of Science and Technology in Krakow, Poland. Group members perform research into various aspects of digital signal processing (DSP) focusing mainly on speech and audio signal processing for the Internet of Things (IoT), multimedia and communication applications, as well as the processing of biomedical signals and audio-video for virtual and augmented reality. Research into signal processing builds upon an intelligent integration of classical DSP techniques, statistical signal processing and machine learning.
The Signal Processing Group is led by Associate Professor Konrad Kowalczyk and it consists of over a dozen of the members of academic staff and research students at a Ph.D. level. The DSP team collaborates internationally with renown academic partners and nationally with the local high-tech industry, and has successfully completed a number of research and commercial R&D projects. The group offers fundamental and advanced taught courses on signal processing, DSP, machine learning, and programming for embedded and multimedia applications at both undergraduate and graduate levels. The Signal Processing Group regularly offers student jobs in research and R&D projects, as well as provides a breadth of opportunities for thesis work and student internships.
As every year, our group took part in Małopolska Noc Naukowców organized at the Faculty of Computer Science, Electronics and Telecommunication. This year for the first time our participation included a demo in the Virtual Reality lab, which the audience highly enjoyed. Event on our side was organized and run by mgr inż. Marcin Witkowski, […]Read More
Tomorrow our team members are heading to Incheon in South Korea to attend the upcoming INTERSPEECH 2022 conference. Meet Magdalen Rybicka, Julitta Bartolewska, Mieszko Fraś, Mateusz Guzik, Marcin Witkowski, Stanisław Kacprzak and Konrad Kowalczyk personally at INTERSPEECH 2022 to talk about their research on speaker diarization, speech separation, dereverberation and denoising using deep learning, hybrid, […]Read More