SIRE-Lab

Principal Investigator:

Careers

Lecturer, Department of Physics, University of Indonesia, Depok, Indonesia (2023 - now)
Postdoctoral Fellow, School of Physics & Clinical and Clinical Optometric Sciences, Dublin, Ireland (2022 - 2023)
Postdoctoral Fellow, Computational Biology and Biological Physics, Lund University, Sweden (2018 - 2020).
Researcher, Department of Research & Development, PT. Dwida Jaya Tama, Jakarta, Indonesia (2012 - 2013).

Education

Ph.D. in Biomedical Engineering, Tohoku University, Japan. (September 2018) advisor: Prof. Yoshifumi Saijo.
M.Sc. in Theoretical Condensed Matter Physics, Tohoku University, Japan. (September 2015) advisor: Prof. Riichiro Saito.
B.Sc. in Physics, Universitas Indonesia. (Juni 2012) advisor: Prof. Muhammad Aziz Majidi.

Collaborators:

Dr. sc. hum. Deni Hardiansyah (Universitas Indonesia)
Dr. Lukmanda Evan Lubis (Universitas Indonesia)
Dyah Ayu Woro Setyaningrum, dr., M.Biomed (Universitas Trisakti)
Zahra Azizah, Ph.D. (Politeknik Negeri Jakarta)
Siti Julia, M.Si. (Universitas Negeri Jakarta)

Undergraduate Students (Physics program)

Rini Fujianti (Undergraduate Research Project, 2027). Topic: Descriptive Analysis and Stability Assessment of Radiomic Texture Features Across Mammographic Views (Craniocaudal and Mediolateral Oblique) in Digital Mammography.
Alena Siti Oktavia (Undergraduate Research Project, 2027). Topic: Analysis of Breast Tumor Shape Characteristics in Ultrasonographic Images for Differentiating Benign and Malignant Lesions.
Nayarah Rianti Putri (Undergraduate Research Project, 2027). Topic: Classification of Benign and Malignant Breast Tumors in Ultrasound Images Based on Morphological Features (Area, Perimeter, and Circularity) Using the K-Nearest Neighbor (KNN) Method.
Raditya Prabhaswara Salahuddin P. (Undergraduate Research Project, 2027). Topic: Biomechanical Modeling of Breast Tumor Deformation Using Finite Element Analysis and Its Implications for Medical Imaging.
Syahyanne Vanzarani (Undergraduate Research Project, 2027). Topic: Fundamental Study of Radiomics and Machine Learning in Mammography: A Preliminary Investigation of Cross-View Analysis Using Craniocaudal (CC) and Mediolateral Oblique (MLO) Images.
Rafi Maulana (Undergraduate Research Project, 2027). Topic: Exploring the Integration of Craniocaudal (CC) and Mediolateral Oblique (MLO) Views for Breast Lesion Classification Using Radiomic Features and Random Forest.
Intan Cahya Ningrum (Undergraduate Research Project, 2027). Topic: Analysis of GLCM Texture Features in Craniocaudal (CC) and Mediolateral Oblique (MLO) Mammography Images for the Classification of Benign and Malignant Breast Lesions.
Muhammad Fauzan Alfahmi (Undergraduate Research Project, 2027). Topic: Analysis of Breast Tumor Shape Complexity in Ultrasound Images Based on Morphological Parameters and Its Relationship with Molecular Subtypes.
Saupi Safira (Undergraduate Research Project, 2027). Topic: Relationship Between Fractal Dimension and Breast Tumor Malignancy Based on Medical Images.
Yantri Prasetio (Undergraduate Research Project, 2027). Topic: Quantitative Comparison of Breast Tumor Morphological Features (Eccentricity, Solidity, and Extent) in Ultrasound Images for Differentiating Benign and Malignant Lesions Using Comparative Statistical Analysis.

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!

Past Members

Ahmad Ceesay (Master's student, 2026, international student from Gambia). Topic: Deep Learning-Based Diagnosis of Alzheimer's Disease Using MR Images. Co-supervised with Dr. Adhi Harmoko.
Rini Anggraeni (Master's student, 2026). Topic: Prediction of Radiation Worker Doses in Catheterization Laboratories Based on Simulation and Measurement. Co-supervised with Dr. Lukmanda Evan Lubis.
Aisyah Nahra Fahira (2026). Topic: Cyclotron-Based Proton Radiotherapy Dose Distribution Study Using the Pencil Beam Scanning (PBS) Technique for Post-Mastectomy Male Breast Cancer with PHITS v3.35. Co-supervised with Prof. Yohannes Sardjono (BRIN).
Priska Rachel Jessica Intan (2026). Topic: Smartphone-Based Colorimetric Biomonitoring of Salivary Calcium Levels in Smokers and Non-Smokers. Co-supervised with Muhammad Wisnu Nugroho, M.Sc.
Adinda Lestari (2026). Topic: Synthesis of Lithium Fluoride (LiF) Optically Stimulated Luminescence (OSL) Dosimeter Materials with Copper (Cu) Doping Using the Coprecipitation Method. Co-supervised with Dr. Budhy Kurniawan.
Muhammad Shibghatullah (2026). Topic: Retinal Blood Vessel Segmentation for Disease Classification in Fundus Images Using Convolutional Neural Networks (CNNs).
Aisyah Rasyidatun Nisa (2026). Topic: Classification of Breast Tumor Malignancy Using CNN Architectures on Histopathological Images.
Inayati Al Maghfira (2026). Topic: Lymphocyte Detection and Complete Blood Count for the Diagnosis of Acute Lymphoblastic Leukemia Using YOLO.
Kitman Arianto (2026). Topic: Cell Segmentation in Breast Cancer Histopathological Images Using the U-Net Architecture.
Rangga Gilang Ramadhan (2026). Topic: Segmentation and Quantification of Ki-67 and Tumor-Infiltrating Lymphocytes in Breast Cancer Using Immunohistochemical Images.
Brahmana Muhammad Jauhari (2026). Topic: Evaluation of Large Language Model Performance in Identifying Ischemic Stroke on CT Images Using a Digital Head Phantom. Co-supervised with Dr. Lukmanda Evan Lubis.
Mutiara Kartika Hannim (2026). Topic: Stress-Strain Analysis of Carpal Bones During Wrist Movements Using FEBio Simulation.
Aisyah Naila Putri (2026). Topic: Finite Element Analysis of the Human Eardrum in Patients with Ear Infections.
Qoirun Nisa Nurlita (2026). Topic: Three-Dimensional Biomechanical Modeling and Finite Element Simulation for Personalized Knee Implant Optimization in Osteosarcoma Reconstruction. Co-supervised with Dr. Giri Wahyu Alam (BRIN).
Mudita Indah (2026). Topic: Deep Learning-Based Classification of Mammography Images.
Aprizka (Master's student, 2025-2). Topic: Deep Learning-Based Medical Image Denoising.
Hendra Himawan (Master's student, 2025-2). Topic: Deep Learning-Based Diagnosis of Parkinson's Disease Using SPECT Images.
Fulki (Master's student, 2025-2). Topic: Artificial Intelligence-Based Single-Time-Point Internal Dosimetry.
Antonius Fajar (Master's student, 2025-2). Topic: Artificial Intelligence-Based Single-Time-Point Internal Dosimetry.
Abdurrahman Aziz (Master's student, 2025-2). Topic: Artificial Intelligence-Based Single-Time-Point Internal Dosimetry.
Melati Indira Putri (2025). Topic: Chemometric Analysis of FTIR Spectroscopy. Co-supervised with Dr. Zico (Department of Chemistry).
Matthew (2025). Topic: Deep Learning-Based Medical Image Denoising. Co-supervised with Dr. Lukmanda Evan Lubis.
Dian (2025). Topic: Software Development for Quality Assurance of Medical Imaging Modalities. Co-supervised with Dr. Lukmanda Evan Lubis.
Muhammad Aliza Mudrikah (2025). Topic: Deep Learning-Based Breast Lesion Segmentation in Ultrasound Images.
Vira Rahmawati (2025). Topic: Breast Lesion Segmentation in Ultrasound Images Using the U-Net Architecture.
Khalishia Fira Haninda (2025). Topic: Deep Learning-Based Diagnosis of Parkinson's Disease Using MR Images.
Devin Syarazan (2025). Topic: Deep Learning-Based Diagnosis of Parkinson's Disease Using MR Images.
Muhammad Dafi Rayhan (2025). Topic: Deep Learning-Based Diagnosis of Parkinson's Disease Using MR Images.
Muhammad Faruq Hizburrabbani (2024-2). Topic: Raman Spectroscopic Analysis of Urine Samples from Patients with Diabetes-Related and Non-Diabetes-Related Chronic Kidney Disease.
Aryo H. W. (2024-2). Topic: Raman Spectroscopic Analysis of Prostate Cancer.
Shania Virya Asmara (2024-2). Topic: Comparison of CNN Architectures for the Classification of Benign and Malignant Skin Cancer.
Fadhil Taufiqul (2024). Topic: Raman Spectroscopic Analysis of Colorectal Cancer Tissue Samples: A Machine Learning Approach on Classical and Quantum Computers.
Juan Wiratama (2024). Topic: Diagnosis of Type 2 Diabetes Using Machine Learning and ATR-FTIR Spectroscopic Analysis of Saliva Samples.
Emmanuel Rieno Bobba P. (2024). Topic: Pediatric Dental Age Estimation from Panoramic Radiographs Using Convolutional Neural Networks (CNNs).
Muhammad Ziyad (2024). Topic: Estimation of Blood Glucose and Insulin Levels in Patients with Type 1 Diabetes.
Razaan (2024). Topic: Dental Age Estimation from Panoramic Dental Radiographs Using Convolutional Neural Networks.
Ahmad Rafianto (2023). Thesis title: Optimization of Preprocessing and Classification Parameters for Raman Spectra of Prostate Cancer Tissue Using the XGBoost Algorithm.
Agustina Kohoin Marandei (2023). Thesis title: Development and Utilization of a Contrast-Detail Structured Phantom Based on Hydrogel, Coconut Oil, and Palm Oil for Image Quality Evaluation in Mammography.

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