This section focuses on radar-based human activity recognition, human skeleton estimation, and personalized healthcare solutions using RF sensing. My work leverages FMCW MIMO radars and deep learning techniques to monitor mobility and behavior in real time, aiming to create non-invasive, intelligent health monitoring systems.
➡️ Please visit the subpage for in-depth exposure to my RF sensing projects and publications.
This area covers my research on RF and microwave antenna systems optimized for medical applications, such as wireless power transfer to implantable devices and human tissue-embedded antennas. I have worked on evaluating rectenna designs, enhancing power transfer efficiency, and fabricating compact antennas tailored for biomedical contexts.
➡️ Visit the subpage to explore my antenna design innovations and technical papers.
Here, my focus is on enhancing medical image quality and visualization, with key projects involving GAN-based laparoscopic video quality restoration, smoke elimination, and advanced image analysis using eye-tracking technologies. These works aim to improve diagnostic accuracy and enable better surgical outcomes.
➡️ See the subpage for detailed insight into my medical imaging research and outcomes.
This section highlights my contributions in applying artificial intelligence and machine learning to solve problems in healthcare and beyond. Projects include heart disease prediction using machine learning algorithms, medical image visualization, and AI-driven analysis of biomedical signals.
➡️ Check the subpage for comprehensive coverage of my AI/ML-based research projects and collaborations.