Ph.D. Signal, Image, Speech, Telecom | M.Sc./B.Sc. Biomedical Engineering-Bioelectric

I am deeply passionate about advancing 𝗺𝗲𝘁𝗵𝗼𝗱𝗼𝗹𝗼𝗴𝗶𝗲𝘀 and 𝗮𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 for 𝗯𝗶𝗼𝗺𝗲𝗱𝗶𝗰𝗮𝗹 𝘀𝗶𝗴𝗻𝗮𝗹 𝗮𝗻𝗱 𝗶𝗺𝗮𝗴𝗲 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴. My research interests extend to the 𝗱𝗲𝘀𝗶𝗴𝗻, 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁, and 𝗶𝗻𝘁𝗲𝗿𝗽𝗿𝗲𝘁𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗔𝗜/𝗠𝗟 𝗺𝗼𝗱𝗲𝗹𝘀, with a focus on their application in 𝗻𝗲𝘂𝗿𝗼𝘀𝗰𝗶𝗲𝗻𝗰𝗲, and vice versa (𝗡𝗲𝘂𝗿𝗼𝗔𝗜).

With 𝟮𝟬+ 𝘆𝗲𝗮𝗿𝘀 of 𝗮𝗰𝗮𝗱𝗲𝗺𝗶𝗰, 𝗽𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹, and 𝗵𝗮𝗻𝗱𝘀-𝗼𝗻 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 in 𝗯𝗶𝗼𝗺𝗲𝗱𝗶𝗰𝗮𝗹 𝗱𝗮𝘁𝗮 𝘀𝗰𝗶𝗲𝗻𝗰𝗲 & 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀, in both 𝗵𝘂𝗺𝗮𝗻 and 𝗻𝗼𝗻-𝗵𝘂𝗺𝗮𝗻 𝗽𝗿𝗶𝗺𝗮𝘁𝗲 studies, I have extensively utilized a diverse range of biomedical signal and image processing techniques, from 𝘁𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝘀𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗮𝗹 𝗺𝗲𝘁𝗵𝗼𝗱𝘀 to 𝗺𝗼𝗱𝗲𝗿𝗻 𝗠𝗟 𝗺𝗼𝗱𝗲𝗹𝘀, across various biomedical signals and images, including 𝗘𝗘𝗚, 𝗠𝗘𝗚, 𝗠𝗥𝗜, 𝗠𝗨𝗔, 𝗟𝗙𝗣, 𝗘𝗖𝗚, 𝗘𝗢𝗚, 𝗘𝗠𝗚, 𝗣𝗖𝗚, 𝗣𝗣𝗚, 𝘂𝗹𝘁𝗿𝗮𝘀𝗼𝘂𝗻𝗱, 𝗲𝗹𝗮𝘀𝘁𝗼𝗴𝗿𝗮𝗺, 𝗯𝗶𝗼𝗺𝗲𝘁𝗿𝘆, 𝗯𝗲𝗵𝗮𝘃𝗶𝗼𝗺𝗲𝘁𝗿𝘆, 𝗿𝗲𝘁𝗶𝗻𝗮𝗹 𝗶𝗺𝗮𝗴𝗶𝗻𝗴, 𝗱𝗲𝗿𝗺𝗮𝘁𝗼𝘀𝗰𝗼𝗽𝗶𝗰 𝗶𝗺𝗮𝗴𝗶𝗻𝗴, 𝘃𝗼𝗶𝗰𝗲-𝗰𝗼𝗻𝘁𝗿𝗼𝗹𝗹𝗲𝗱 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗺𝗼𝘁𝗼𝗿, 𝗩𝗥, and 𝘁𝗲𝘅𝘁 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀.