Dr. Bolic's
research is multidisciplinary and includes biomedical signal processing and
instrumentation, computer architectures, UAV detection and radio frequency
identification (RFID) systems. Dr. Bolic is currently
interested in addressing real-life problems through signal processing and
machine learning in biomedical and automotive applications. In biomedical applications,
he works with patient data in close collaboration with physicians and other
medical personnel while developing wearable as well as contactless solutions
with radars and thermal, depth and RGB cameras. In automotive applications, he
is focusing on counter-drone and inspection problems with UAVs, again focusing
on working with experimental field data. In these applications, his approach is
to model and simulate the problem in order to understand
it better. He is currently developing machine learning solutions for: His main recent research
contributions can be classified as follows: Biomedical signal processing and
instrumentation UAV Detection
Research
Current teaching:
Teaching exoerience:
For a full list, please check out my Google Scholar profile!