Tom Gajecki, Phd Email & Phone Number

I am a dedicated researcher with a comprehensive understanding of prototyping and evaluating deep learning-based sound processing algorithms for the hearing impaired. My expertise lies in analytical and critical problem-solving in audio signal processing, complemented by project management skills gained through collaborations with various hearing aid companies. Skill set in brief:- Gained a 360-degree understanding of the full process of prototyping and evaluating deep learning-based sound processing algorithms for hearing-impaired people.- Vast experience in using analytical and critical thinking for technical problem-solving in audio signal processing.- Project management skills acquired through various industry collaborations (3+) with the main hearing aid companies.- Effective communication skills consolidated through participation in various international conferences.Relevant Publications:- T. Gajecki, W. Nogueira. A Fused Deep Denoising Sound Coding Strategy for Bilateral Cochlear Implants. IEEE Transactions on Biomedical Engineering, 2024.- T. Gajecki, W. Nogueira. Deep Latent Fusion Layers for Binaural Speech Enhancement. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023.- T. Gajecki, Y. Zhang, W. Nogueira. A Deep Denoising Sound Coding Strategy for Cochlear Implants. IEEE Transactions on Biomedical Engineering, 2023.- T. Gajecki, W. Nogueira. Enhancement of Interaural Level Differences for Bilateral Cochlear Implant Users. Hearing Research, 2021.- T. Gajecki, W. Nogueira. The Effect of Synchronized Linked Band Selection on Speech Intelligibility of Bilateral Cochlear Implant Users. Hearing Research, 2020.- T. Gajecki, W. Nogueira. Deep Learning Models to Remix Music for Cochlear Implant Users. The Journal of the Acoustical Society of America, 2018.

Listed skills include Docencia, Oratoria, and Microsoft Office.