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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.

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.

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.

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INTERESTS

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DEEP LEARNING FOR COVID-19 DIAGNOSIS

Diagnosis COVID-19 from X-Ray images using state-of-the-art approaches

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DEEP LEARNING FOR ABNORMAL PARATHYROID GLAND DETECTION

Detecting and localizing abnormal Parathyroid Glands in images from SPECT

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DEEP LEARNING IN LUNG CANCER DIAGNOSIS

Deep Learning applications for identifying malignant and benign lung nodules

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DEEP LEARNING FOR CORONARY ARTERY DISEASE DIAGNOSIS

DL methods for diagnosing Coronary Artery Diseases from SPECT Polar Maps and DICOM slices

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DEEP LEARNING IN MAGNETIC RESONANCE IMAGING

Attention-based CNNs for identifying brain disorders in MRI

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AIR QUALITY MONITORING

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

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EXPLAINABLE ARTIFICIAL INTELLIGENCE (XAI)

Implementation of various methods and tools for XAI in medicine

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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

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ADVANCES IN FUZZY COGNITIVE MAPS

Implementing and developing advanced Fuzzy Cognitive Maps for various problem-solving tasks, including medical applications.

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ADVANCED MACHINE LEARNING IN PRECISION AGRICULTURE

Vision Transformer networks for assessing food quality

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APPLICATIONS OF DEEP LEARNING IN THE INDUSTRIAL SECTOR

Feature-fusion networks for industrial applications

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CLIMATE CHANGE AND DEEP LEARNING

Explainable Deep Learning approaches for various environmental applications

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