Konrad Kowalczyk

Konrad Kowalczyk is an Associate Professor at AGH University of Science and Technology in Krakow, Poland, where he heads the Signal Processing Group within the Faculty of Computer Science, Electronics and Telecommunications. With extensive international experience from institutions including Queen's University Belfast, Stanford University, and Fraunhofer Institute, he has established himself as a leading researcher in audio and speech signal processing. His academic journey includes B.Eng. and M.Sc. degrees from AGH University (2005), a Ph.D. from Queen's University Belfast (2009), and a Habilitation in ICT from AGH University (2020).

• B.Eng. and M.Sc. in Electronics and Telecommunications, AGH University of Krakow (2005)
• Ph.D. in Electronics, Queen's University Belfast, UK (2009)
• Habilitation (D.Sc.) in Information and Communication Technology, AGH University of Krakow (2020)

Kowalczyk's research spans multiple cutting-edge areas in audio processing, with particular focus on speech and audio signal processing enhanced by machine learning techniques. His work integrates deep neural networks with traditional signal processing methods to address challenges in array signal processing, speech enhancement, and speaker recognition. The research group he leads explores innovative applications in distributed signal processing for IoT, acoustic event detection, and spatial audio rendering, bridging theoretical advances with practical implementations.

His recent publications demonstrate a clear trend toward integrating deep learning with traditional signal processing techniques, particularly in speaker diarization, source separation, and robust speech recognition. The research increasingly focuses on real-world applications requiring reverberation-robust processing, distributed microphone array systems, and end-to-end neural architectures that can operate in challenging acoustic environments. There's a noticeable shift toward more complex, integrated systems that combine multiple signal processing tasks.

• Stanislaw Staszic Medal for best graduate of AGH (2005)
• IEEE Best Student Paper Contest finalist (2007)
• AES Student Technical Paper Award winner (2008)
• Best Student Paper Award at IWAENC conference (2014)
• Best Paper Awards at IEEE SPA conferences (2016, 2019)
• Polish Ministry of Science Scholarship for Distinguished Young Scientists (2016-2019)
• Prime Minister Award for outstanding scientific achievements (2020)

As Principal Investigator, Kowalczyk leads multiple significant research projects including "Acoustic Intelligence" (2024-2028) funded by National Science Center, and "Deep extraction for robust speech recognition" (2023-2028). He has successfully secured funding from prestigious programs including First TEAM from the Foundation for Polish Science, and EU FP7 projects. His research group actively supervises Ph.D., M.Sc., and B.Eng. students, with strong connections to international institutions including Aalto University and IEEE Signal Processing Society. The research output includes numerous journal publications, conference papers, patents, and software implementations that have advanced the field of audio signal processing.

Kowalczyk leads the Signal Processing Group at AGH University, which focuses on developing innovative solutions for speech and audio processing challenges. The group maintains strong collaborations with international institutions including Aalto University (Finland), and participates in European research initiatives. Their work spans theoretical development through practical implementation, with applications ranging from medical voice assistants to distributed acoustic sensor networks.