Undergraduate Students (Physics):
Mudita Indah, topic: Deep Learning-Based Classification of Mammography Images
Master Students (Medical Physics) Join supervisor with Dr. Deni Hardiansyah:
Hendra Himawan, topic: Deep Learning-Based Diagnostics of Parkinson's Disease Using SPECT images
Fulki, topic : Single time point internal dosimetry using Artificial Intelligence
Antonius Fajar, topic: Single time point internal dosimetry using Artificial Intelligence
Abdurrahman Aziz, topic: single time point dosimetry using Artificial Intelligence.
Master Students (Medical Physics) Join supervisor with Dr. Lukmanda Evan Lubis:
Aprizka, topic: Denosing Medical Images using Deep Learning
Master Students (Physics Program) join supervisor with Dr. Adhi Harmoko
Ahmad Ceesay, topic: Deep Learning-Based Diagnostics of Alzheimer's Disease Using MR Images
We do not have any open positions anymore unless you bring your own topic!
OB/OG from my Group.
Melati Indira Putri (2025), topic: Chemometrics in FTIR spectroscopy (Chemistry, join supervisor with Dr Zico)
Matthew (2025), topic: Deep Learning Based Medical Images Denoising (join supervisor with Dr. Lukmanda Evan Lubis)
Dian (2025), topic: Software Developing for imaging modality qualtiy assurance (join supervisor with Dr. Lukmanda Evan Lubis)
Muhammad Aliza Mudrikah (2025), topic: Breast Cancer Lesion Segmentation Using Deep Learning in Ultrasound Imaging
Vira Rahmawati (2025), topic: Breast Cancer Lesion Segmentation Using Deep Learning U-net in Ultrasound Imaging
Khalishia Fira Haninda (2025), topic: Deep Learning-Based Diagnostics of Parkinson's Disease Using MR Images
Devin Syarazan (2025), topic: Deep Learning-Based Diagnostics of Parkinson's Disease Using MR Images
Muhammad Dafi Rayhan (2025), topic: Deep Learning-Based Diagnostics of Parkinson's Disease Using MR Images
Muhammad Faruq Hizburrabbani (2024-2), topic: STUDI PERBEDAAN URIN PADA PASIEN PENYAKIT GINJAL KRONIS YANG TERKAIT DENGAN DIABETES DAN NON-DIABETES MENGGUNAKAN SPEKTROSKOPI RAMAN
Aryo H.W. (2024-2), topic : Study Prostate Cancer using Raman spectroscopy
Shania Virya Asmara (2024-2), topic : Studi Perbandingan Berbagai Arsitektur CNN dalam Mengidentifikasi dan Mendiferensiasi Kanker Kulit Jinak dan Ganas
Fadhil Taufiqul (2024) : Raman Spectroscopic Analysis of Colorectal Cancer Tissue Samples: A Machine Learning Approach on Classical and Quantum Computers
Juan Wiratama (2024) : Diagnosis of Type 2 Diabetes with Machine Learning via ATR-FTIR Spectroscopic Analysis of Saliva Samples
Emmanuel Rieno Bobba P (2024) : Age Estimation in the Pediatric Population using Convolutional Neural Networks (CNNs) from Panoramic Radiography
Muhammad Ziyad (2024) : the study of calculating blood glucose and insulin levels in type-1 diabetes patients
Razaan (2024) : Application of Convolutional Neural Network for Dental Age Estimation Based on Panoramic Dental X-ray Images
Ahmad Rafianto (2023). Thesis title : Optimization of Parameters in The Preprocessing and Classification of Raman Spectra for Prostate Cancer Tissue Specimens Using The Xgboost Algorithm.
Agustina Kohoin Marandei (2023). Thesis title : Development and Utilization of Contrast Detail Structured Phantom Based on Hydrogel, Coconut and Palm Oil to Evaluate Image Quality in Mammography Modalities.