Mariusz Kleć

Mariusz Kleć is a Researcher and faculty member at the Polish-Japanese Academy of Information Technology (PJATK), affiliated with the Faculty of Information Technology and the Department of Multimedia. He is currently completing his PhD in Computer Science, focusing on music processing with deep neural networks. His work bridges computer science, music engineering, and machine learning, emphasizing practical applications in recommendation systems and healthcare.

• Education:
  • PhD in progress (2014–present): Research on music classification and organization using DNNs.
  • Postgraduate Sound Engineering (2014–2015): Project on equalizer and dynamic processor usage in music production.
  • MSc in Computer Science (2005–2010): Thesis on sound similarity for music recommendation systems.
  • High School of Visual Arts (2000–2005): Focus on visual identity design.
• Technical Expertise: Full-stack web development (Java, JavaScript, React, NodeJS, MongoDB), machine learning, graphic design (Adobe Suite), and audio engineering.

Research Interests: Mariusz explores intersections of music processing, AI, and multimedia systems. His projects include:

• Music recommendation systems leveraging personality traits and neural networks.
• Automated genre recognition using deep learning and wavelet transformations.
• Applications of AI in healthcare for early symptom detection.

Professional Experience:

• Administrator of Recording Studio (PJATK, 2012–present): Manages equipment and event coordination.
• Internship at Sony Stuttgart (2013): Developed an audio classification DNN in MATLAB.
• Web developer (2008–2011): Front-end and WordPress projects, SharePoint system administration.

Labs/Teams: Active contributor to the CLARIN-PL project (2019–2021) for speech tool development. Collaborates with the Multimedia Department on sound design and data mining.