
PhD in Medical Physics, University of Patras, 2022
MSc in Biomedical Engineering, University of Patras, 2020
BSc in Electrical and Computer Technology Engineering, University of Patras, 2017
Publications: 40
Citations: 2600
BIO
Born in Athens, Greece, in 1991, I completed my academic journey at the University of Patras, achieving my Bachelor of Science in 2017, followed by a Master of Science in Biomedical Engineering in 2020 from the Department of Electrical and Computer Technology Engineering. Subsequently, in 2022, I earned my Doctorate from the Medical School.
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Throughout my academic pursuits, I have actively contributed to the scientific community, co-authoring 26 influential papers published in peer-reviewed journals and 12 conference proceedings. My work has garnered significant recognition with 2600 citations and an impressive h-index of 10.
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Engaging in 9 Research Projects at renowned institutions like the Foundation for Research and Technology Hellas and the University of Thessaly has been a rewarding experience, broadening my expertise and fueling my passion for cutting-edge advancements.
My special interests lie in the captivating fields of Artificial Intelligence, Deep Learning, and Data Analytics, which I enthusiastically apply to enhance Medical Imaging, Nuclear Medicine, and Air Quality Sensors.

INTERESTS

DEEP LEARNING FOR COVID-19 DIAGNOSIS
Diagnosis COVID-19 from X-Ray images using state-of-the-art approaches

DEEP LEARNING FOR ABNORMAL PARATHYROID GLAND DETECTION
Detecting and localizing abnormal Parathyroid Glands in images from SPECT

DEEP LEARNING IN LUNG CANCER DIAGNOSIS
Deep Learning applications for identifying malignant and benign lung nodules

DEEP LEARNING FOR CORONARY ARTERY DISEASE DIAGNOSIS
DL methods for diagnosing Coronary Artery Diseases from SPECT Polar Maps and DICOM slices

DEEP LEARNING IN MAGNETIC RESONANCE IMAGING
Attention-based CNNs for identifying brain disorders in MRI

AIR QUALITY MONITORING
IoT Air Quality Monitoring devices using low-cost sensors and Artificial Intelligence

EXPLAINABLE ARTIFICIAL INTELLIGENCE (XAI)
Implementation of various methods and tools for XAI in medicine

MACHINE LEARNING AND DATA ANALYTICS FOR SENSOR DATA
Implementation of various Python libraries (Tensorflow, Keras, Pandas, Scikit and more) for Data Analytics and Machine Learning in low-cost sensor data applications

ADVANCES IN FUZZY COGNITIVE MAPS
Implementing and developing advanced Fuzzy Cognitive Maps for various problem-solving tasks, including medical applications.

ADVANCED MACHINE LEARNINGÂ IN PRECISION AGRICULTURE
Vision Transformer networks for assessing food quality

APPLICATIONS OF DEEP LEARNING IN THE INDUSTRIAL SECTOR
Feature-fusion networks for industrial applications

CLIMATE CHANGE AND DEEP LEARNING
Explainable Deep Learning approaches for various environmental applications