I am a faculty member of the Faculty of Computer Science, Universitas Indonesia. I am also affiliated as a visiting research scientist at Brain Image Analysis (BIA) Unit, RIKEN Center of Brain Science (RIKEN CBS), Wako, Japan working together with Dr. Henrik Skibbe, the team leader of the BIA Unit to develop machine/deep learning techniques for processing and analyzing marmoset brain image data (neuroscience). Furthermore, I also hold an honorary fellowship based in the Deanery of Clinical Sciences in the College of Medicine & Veterinary Medicine at the University of Edinburgh, which allows me to collaborate closely with the Centre for Clinical Brain Sciences (CCBS). My main interests are medical image and data analysis/computation using data-driven methods, such as deep learning algorithms.
I did my PhD and MSc studies at the School of Informatics, University of Edinburgh, supervised by Prof. Taku Komura and co-supervised by Dr. Maria Valdés Hernández. At that time, I was affiliated with the Computer Graphics and Visualisation (CGVU) research group in the Institute of Perception, Action and Behaviour (IPAB) (School of Informatics) and Centre for Clinical Brain Sciences (CCBS). My PhD thesis is titled “Development of machine learning schemes for segmentation, characterisation, and evolution prediciton of white matter hyperintensities in structural brain MRI” and examined by Prof. Emanuale Trucco from the University of Dundee (external examiner) and Dr. Mohsen Khadem from the University of Edinburgh (internal examiner).
Current and previous teaching courses:
- Advanced Machine Learning (Indonesian: Pemelajaran Mesin Lanjut (PML) from 2020 until now)
- Digital Image Processing (Indonesian: Pengolahan Citra (PengCit) in 2020)
- Computer Vision (from 2024)
- Statistics and Probability (Indonesian: Statistika & Probabilitas (StatProb) from 2024)
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