Nama Dosen:
Dr. Catur Edi Widodo, M.T.
Program Studi:
Fisika
Kepakaran Dosen:
Dr. Catur Edi Widodo memiliki kepakaran di bidang fisika instrumentasi dan elektronika dengan pendekatan komputasi modern. Fokus utama risetnya mencakup pengolahan citra digital, machine learning dan deep learning, serta data mining untuk analisis sistem kompleks. Keahliannya banyak diterapkan pada berbagai bidang seperti diagnosis citra medis (misalnya deteksi COVID-19 dan pleural effusion), klasifikasi kualitas produk berbasis citra (seperti kesegaran ikan dan deteksi objek asing pada beras), serta analisis perilaku berbasis data (contohnya pola pengguna jalan). Selain itu, ia juga mengembangkan simulasi numerik dan sistem berbasis sensor dalam konteks fisika terapan.
Publikasi:
- Image-Based Fish Freshness Classification Using Two-Phase Transfer Learning with Deep Learning Fusion Model
Link: https://doi.org/10.61111/jads.v6i4.2974-2988 - Analyzing 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.290519 - A support vector machine approach for identification of pleural effusion
Link: https://doi.org/10.1016/j.heliyon.2024.e22778 - Automatic identification of Covid-19 from lung image based on the relationship between parameter of entropy and correlation
Link: https://doi.org/10.1063/5.0216073 - Automatic identification of Covid-19 from lung image using parameter of contrast, correlation, energy, homogeneity and entropy
Link: https://doi.org/10.1063/5.0216072 - Comparative 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_15 - Simulasi Pengisian Tangki Cairan dengan Banyak Variabel
Link: https://ejournal.undip.ac.id/index.php/berkala_fisika/article/view/3062 - Simulasi Numerik Osilator Harmonis
Link: Tidak ditemukan pada scholar.undip.ac.id