BRAVENEC, T. Využití bezdrátové komunikace pro lokalizaci: Za hranice fingerprintingu [online]. Brno: Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. 2023.
Ph.D. candidate Tomas BRAVENEC has successfully submitted his dissertation, which focus on indoor positioning systems, with a specific emphasis on addressing privacy and security concerns associated with wearable applications. Notably, his research utilized information derived from probe requests, employed by terminal devices to scan the environment for Wi-Fi Access Points in proximity. The analysis incorporated big data processing techniques, including machine learning classifiers. Additionally, Tomas tackled the challenge of reducing computing requirements within his work. Throughout the research process, Tomas pursued a joint Ph.D. degree at the University Jaume I in Spain and Brno University of Technology in Czechia. He served as an Early Stage Researcher in the A-WEAR project (A network for dynamic WEarable Applications with pRivacy constraints), funded by the European Union’s Horizon 2020 Research and Innovation programme. Notably, significant outcomes of his work have been published in the IEEE Sensors Journal and presented at various international conferences. In addition to his research contributions, Tomas actively engaged in educational endeavors at the University in Brno. He supervised two bachelor's theses focusing on machine learning and video signal processing. Furthermore, he played a key role in teaching and updating laboratory exercises for courses focused on embedded systems and microprocessor programming. Tomas also contributed to the introduction of a new subject in Brno, utilizing ESP32 microcontrollers. Based on my evaluation, Tomas BRAVENEC fulfills all the requirements expected of a Ph.D. candidate. Consequently, I highly recommend his dissertation for oral defense.
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