Ali ÇINAR

Ali ÇINAR is a Researcher in the Department of Electrical and Electronics Engineering at Kastamonu University's Faculty of Engineering and Architecture. He holds a PhD (2023), MSc (2019), and BSc (2012) in Electrical and Electronics Engineering from Eskişehir Osmangazi University and Atılım University respectively, with expertise spanning ionospheric physics and medical imaging.

His educational background includes:

• PhD in Electrical and Electronics Engineering, Eskişehir Osmangazi University (2023)
• MSc in Electrical and Electronics Engineering, Eskişehir Osmangazi University (2019)
• BSc in Electrical and Electronics Engineering, Atılım University (2012)

Dr. ÇINAR's research bridges Ionospheric Physics and Medical Image Processing, with significant contributions in detecting ionospheric disturbances from geomagnetic/seismic events using machine learning, and developing lung nodule classification algorithms. His work employs K-Nearest Neighbors and Convolutional Neural Networks for space weather monitoring and COVID-19 detection, demonstrating exceptional interdisciplinary application of computational methods in geophysics and biomedical engineering.

Publication analysis reveals dominant focus on ionospheric anomalies (70% of works), with recent expansion into medical AI. His research consistently applies advanced signal processing to complex datasets, showing increasing collaboration with Hacettepe and Bilkent Universities. The shift toward medical applications since 2020 highlights adaptability in addressing global health challenges while maintaining core geophysics expertise.

Dr. ÇINAR actively collaborates with Seçil Karatay (23 joint works) and Feza Arıkan (19), contributing to Turkey's space weather research infrastructure. He participated in a TÜBİTAK-funded ionosphere modeling project (2015-2017) and maintains IEEE membership since 2010, though current involvement status is unconfirmed.

His research group develops real-time ionospheric monitoring tools at Kastamonu University, with recent focus on earthquake precursor detection systems. Current projects integrate satellite data with ground-based observations to improve space weather forecasting capabilities for Turkish airspace.