Rudi Limantara

Rudi Limantara, S.Kom., M.Kom., CDSS.

Joined:

2025

Major:

Informatics

Academic rank:

Lecturer

Rudi holds a Bachelor’s degree in Informatics from Sekolah Tinggi Teknik Surabaya and a Master’s degree in Computer Science from Institut Sains dan Teknologi Terpadu Surabaya, graduating Summa Cumlaude. He specializes in Computer Vision, Digital Image Processing, Artificial Intelligence, and Deep Learning. Currently, Rudi is actively involved in medical research using Deep Learning technologies, collaborating with hospitals across Indonesia. As an educator, he teaches various courses including Programming Algorithms, Databases, Object-Oriented Programming, Computer Vision, Digital Image Processing, Computer Graphics, Artificial Intelligence, Deep Learning, and Machine Learning. Rudi is a member of the International Association of Engineers (IAENG), reinforcing his commitment to academic excellence and professional development in the technology field.

Author Pages

Google Scholar	https://scholar.google.co.id/citations?user=5Y4MzDsAAAAJ
Scopus	https://www.scopus.com/authid/detail.uri?authorId=58763476800
SINTA	https://sinta.kemdikbud.go.id/authors/profile/6977579

Expertise

• Artificial Intelligence
• Computer Vision
• Deep Learning
• Machine Learning

International Journal indexed by Scopus/WoS

• Optimizing spinal cord lesion segmentation using hierarchical classification and U-NET based segmentation model. Electronic (2025)
• A deep learning approach for cervical cord injury severitydetermination through axial and sagittal magnetic resonance imagingsegmentation and classification (PDF) A deep learning approach for cervical cord injury severity determination through axial and sagittal magnetic resonance imaging segmentation and classification. Available from: https://www.researchgate.net/publication/383526135_A_deep_learning_approach_for_cervical_cord_injury_severity_determination_through_axial_and_sagittal_magnetic. European Spine Journal (2024)
• SpinalAI: A Deep Learning Approach to Predict Vertebrae-Column Level, Structure, and Foraminal on Cervical Spine Axial MRI Images. ICiCos (2024)

National Journal indexed by Sinta

• A Hierarchical Multi-Label Classification Approach for the Automated Interpretation of Spinal MRI Series. Insyst : Journal of Intelligent System and Computation (2025)

Formal Educations

Year	Level	School/Institution/University
2012	S1	Institut Sains dan Teknologi terpadu Surabaya
2022	S2	Institut Sains dan Teknologi terpadu Surabaya