Proven expertise in signal processing, in user or patient research studies, and in creating software for participant testing.
Lead the development of artificial intelligence algorithms for audio classification of heart and lung sounds.
Bridging FPGA-based system prototyping with manufacturable chip design, enabled by open-source EDA toolchains and design automation methodologies.
Integration and efficient implementation of post-quantum cryptographic (PQC) algorithms in a RISC-V-based processor platform.
Focus on secure FPGA-based system development and verification using RISC-V platforms.
Development, validation, and clinical deployment of actibelt-based mobility analysis.
Contribute to the research topic of “High-Throughput Optimisation of Sustainable Protein Extraction”
A postdoc with proven expertise in mechanical engineering and image analysis for medical technology (MedTech) applications.
Highly motivated and skilled researcher in the domain of cybersecurity and privacy-enhancing technologies for medical IoT applications.
Explore possible side-channel analysis (SCA) weaknesses of leading-edge PQC implementations and develop countermeasures.
