He is elected as Academician for European Academy of Sciences (EUAS, Greece), composed of the world’s leading scientists, Nobel prize and outstanding scientists winners, scholars and business people, aiming to promote excellence in science and technology (see pp. 199-202 in http://www.interpaper.org/2022-Annual-Report-EU-Academy-of-Sciences.pdf on his unique contributions in non-contact, early-detection of human-health abnormality non-invasively with infrared-physics-technology: a novel 'tissue-activities-ratio analysis' method). Fellow (inaugural) for National Academy of Technology (FNAT, USA), NAT fellows are elected "through a highly selective, peer-review process, based on their track records of scientific achievement and original contributions that have advanced technology." His work focuses on the development of advanced contactless diagnostic medical imaging techniques based on active dynamics thermography.

Title of Talk: Machine Learning on Fault Diagnosis in Wind Turbine.