Resume

Education

• Ph.D in Computer Science, Institut Teknologi Sepuluh Nopember, 09/2020-02/2025.
• M.S. in Computer Science, Institut Teknologi Sepuluh Nopember, 09/2019-09/2020.
• B.S. in Computer Engineering, Institut Teknologi Sepuluh Nopember, 09/2015-09/2019

Experience

• 2020 Sep - present: PhD AI Researcher
  • Institut Teknologi Sepuluh Nopember, Indonesia
  • Supervisor: Prof. I Ketut Eddy Purnama
  • Skills: Deep Learning, Machine Learning, Computer Vision, Image Processing, Biomedical Image, Python, Tensorflow, SPM
• 2022 Nov - 2023 Mar: Visiting PhD Researcher
  • Kyung Hee University, South Korea
  • Supervisor: Prof. Tae-Seong Kim
  • Skills: Deep Learning, Machine Learning, Computer Vision, Image Processing, Biomedical Image, Python, Tensorflow, SPM
• 20018 Aug - 2019 Jan: Software Engineer
  • ITS Tekno Sains, Indonesia
  • Skills: Software Engineering, SQL, Machine Learning
• 2018 Jun - 2018 Jul: Engineering Intern
  • YTL Power, Indonesia
  • Skills: Software Engineering, Network System and Security, SQL

Grants and Awards

• 2023: Best Poster Presentation Awards - MICCAI FAIMI
  • Vancouver, Canada
• 2022: International PhD Research Visit Award - Directorate General of Higher Education Education Indonesia
  • worth IDR 150M to visit Kyung Hee University, South Korea for 5 months
• 2019-2023: Master-PhD Fellowship - Directorate General of Higher Education Education Indonesia
• 2019: Graduate with Honors - Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia
• 2017: 2nd Winner National Startup Incubation Competition - Lintasarta, Indonesia
  • securing investment of IDR 100M to realize a startup product

Professional Activity

• Reviewing
  • 2024 Jul: MICCAI FAIMI 2024 - Marrakesh, Morocco
  • 2024 Apr: MIDL 2024 - Paris, France
• Committee Activity
  • MICCAI FAIMI
• Supervising
  • 2023: Arnold Sidiprasetija - Department of Computer Engineering, Institut Teknologi Sepuluh Nopember
    • Bachelor Thesis: Transfer Learning Application for 3D Medical Imaging
  • 2023: Ramadhan Sanyoto Sugiharso Widodo - Department of Computer Engineering, Institut Teknologi Sepuluh Nopember
    • Bachelor Thesis: Volumetric Hippocampus Segmentation Using 3D U-Net Based on Transfer Learning
  • 2022: M. Fajar Azka Fadillah - Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember
    • Master Thesis: Stroke Lession Segmentation from 3D Brain MRI
  • 2022: Caesario Indra Ardana - Department of Radiology, Universitas Airlangga
    • Bachelor Thesis: COVID-19 Prediction on X-Ray Images
  • 2021: I Made N. Pinton - Department of Computer Engineering, Institut Teknologi Sepuluh Nopember
    • Bachelor Thesis: 3D Brain MR Image classification for Alzheimer’s Disease
  • 2021: Alif Aditya - Department of Computer Engineering, Institut Teknologi Sepuluh Nopember
    • Bachelor Thesis: Multiclass Segmentation on 3D MRI data for Brain Tumor
  • 2020: Yordan Yasin - Department of Computer Engineering, Institut Teknologi Sepuluh Nopember
    • Bachelor Thesis: Open Set Recognition in Skin Classification
  • 2020: M. Dimas N. Aryatama - Department of Computer Engineering, Institut Teknologi Sepuluh Nopember
    • Bachelor Thesis: Lung X-Ray Image Classification

You can also find more about my education and experiences on my Linkedin profile.