Lecturer Name:
Dr. Catur Edi Widodo, M.T.
Study Program:
Lecturer Expertise:
Dr. Catur Edi Widodo specializes in instrumentation physics and electronics with modern computational approaches. His research mainly focuses on digital image processing, machine learning and deep learning, as well as data mining for complex system analysis.
His expertise has been widely applied in various fields, including medical image diagnosis such as COVID-19 and pleural effusion detection, image-based product quality classification such as fish freshness analysis and foreign object detection in rice grains, as well as data-driven behavioral analysis including road user behavior patterns.
In addition, he also develops numerical simulations and sensor-based systems in the context of applied physics.
Publications
Image-Based Fish Freshness Classification Using Two-Phase Transfer Learning with Deep Learning Fusion Model
Link: https://doi.org/10.61111/jads.v6i4.2974-2988Analyzing Road Users’ Behavior: A Data Mining Approach Using Google Maps Popular Time and Web Scraping for Rest Area Visitation Patterns on Highways and Toll Roads
Link: https://doi.org/10.18280/isi.290519A Support Vector Machine Approach for Identification of Pleural Effusion
Link: https://doi.org/10.1016/j.heliyon.2024.e22778Automatic Identification of Covid-19 from Lung Image Based on the Relationship Between Parameter of Entropy and Correlation
Link: https://doi.org/10.1063/5.0216073Automatic Identification of Covid-19 from Lung Image Using Parameter of Contrast, Correlation, Energy, Homogeneity and Entropy
Link: https://doi.org/10.1063/5.0216072Comparative Analysis of Deep Convolutional Neural Network for Accurate Identification of Foreign Objects in Rice Grains
Link: https://doi.org/10.18178/engineeringletters.32.2.EL_32_2_15Simulasi Pengisian Tangki Cairan dengan Banyak Variabel
Link: https://ejournal.undip.ac.id/index.php/berkala_fisika/article/view/3062Simulasi Numerik Osilator Harmonis
Link: Not found on scholar.undip.ac.id