Undergraduate Students (Physics):
A. Biomechanics Team
Mutiara Kartika Hannim, topic: Analysis of Stress-Strain Distribution in Carpal Bones During Wrist Movements Using FEBio Simulation.
Aisyah Naila Putri, topic: Biomechanical Analysis of the Eardrum in Infection Patients Using the Finite Element Method.
Qoirun Nisa Nurlita, topic: 3D Biomechanical Modeling and Finite Element Simulation for Optimizing Personalized Knee Implants in Osteosarcoma Reconstruction.
B. Deep Learning for Medical Images Understanding Team
MUHAMMAD SHIBGHATULLAH, topic: Retinal Blood Vessel Segmentation for Disease Classification in Fundus Images Using CNN.
Aisyah Rasyidatun Nisa, topic: Classification of Breast Tumor Malignancy Status Using CNN Architecture on Histopathological Images.
Inayati Al Maghfira, topic: Lymphocyte Detection and Complete Blood Count for the Diagnosis of Acute Lymphoblastic Leukemia Based on YOLO.
Kitman Arianto, topic: Segmentation Cell on Cancer Histopathology Images Using the U-Net Architecture: A Breast Cancer Case Study
RANGGA GILANG RAMADHAN, topic: A Study on the Segmentation and Quantification of Ki-67 and Tumor-Infiltrating Lymphocytes in Breast Cancer using Immunohistochemical Imaging
BRAHMANA MUHAMMAD JAUHARI, topic: EVALUATION OF THE PERFORMANCE OF LARGE LANGUAGE MODEL IN IDENTIFYING ISCHEMIC STROKE ON CT IMAGES USING DIGITAL HEAD PHANTOM. (Join Supervision with Dr. Lukmanda Evan Lubis)
C. Materials for Radiation Detector Team (Join Supervision with Dr. Budhy Kurniawan)
Adinda Lestari, topic: SYNTHESIS OF LITHIUM FLUORIDE (LiF) DOSIMETER MATERIAL BASED ON OPTICALLY STIMULATED LUMINESCENCE (OSL) WITH COPPER (Cu) DOPING VARIATIONS USING THE COPRECIPITATION METHOD.
D. Monte carlo for radiation transport (Join Supervision with Prof. Yohannes Sardjono BRIN)
AISYAH NAHRA FAHIRA, topic: Cyclotron-Based Proton Radiotherapy Dose Distribution Study Using PBS Technique for Post-Mastectomy Male Breast Cancer via PHITS v.3.35.
Master Students (Physics Program) join supervisor with Dr. Adhi Harmoko
Ahmad Ceesay, topic: Deep Learning-Based Diagnostics of Alzheimer's Disease Using MR Images
PhD Student (Physics Program) join supervision with Prof. Syamsu Rosyid
Surya, M.Si.
We do not have any open positions anymore unless you bring your own topic!
OB/OG from my Group.
Aprizka (M 2025-2), topic: Denosing Medical Images using Deep Learning
Hendra Himawan (M 2025-2), topic: Deep Learning-Based Diagnostics of Parkinson's Disease Using SPECT images
Fulki (M 2025-2), topic : Single time point internal dosimetry using Artificial Intelligence
Antonius Fajar (M 2025-2), topic: Single time point internal dosimetry using Artificial Intelligence
Abdurrahman Aziz (M 2025-2), topic: single time point dosimetry using Artificial Intelligence.
Mudita Indah (2026), topic: Deep Learning-Based Classification of Mammography Images
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.