Dr. Hasballah Zakaria, S.T., M.Sc.
Biomedical Engineering Research Groups
Email : hasballah@itb.ac.id
Dr. Hasballah Zakaria was born in East Aceh in 1971. He graduated cum laude with a bachelor's degree in Civil Engineering from Bandung Institute of Technology (ITB) in 1994, becoming the best student in his class. In late 1999, he pursued his master's and doctoral studies at the University of Pittsburgh, USA, specializing in Mechanical Engineering, specializing in Biomechanics. During his studies in the United States, Dr. Hasballah researched the mechanical aspects of the process of aneurysm formation in cerebral arteries until they rupture, which is one of the main causes of fatal strokes.
Dr. Hasballah joined the Biomedical Engineering Study Program of ITB in 2008 as an academic assistant and was appointed as a permanent lecturer in 2010. His expertise includes medical and health sciences, particularly in neurology, obstetrics, and cardiovascular health. He teaches courses related to human body mechanics and is active in brainwave research, especially in the fields of medical instrumentation and signal processing. Throughout his career, Dr. Hasballah has received several prestigious awards, including the Innovation Work for Tele-ECG Development from ITB and the Innovation Awards in the Medical Devices category for *NIVA: Early Detection System for Cardiovascular Disease for Prevention* given by IndoHCF in 2017. These awards confirm his contributions in the development of health technology, especially for the early detection of cardiovascular disease.
Currently, Dr. Hasballah serves as the Head of the Center for Health and Sports Technology at ITB, where he remains committed to advancing health technology that supports medical and sports needs.
- Development of Analyzer and Strip-Test for Detecting HbA1c Levels (2025)
- fECG Signal Extraction from aECG Using Signal Decomposition and Transformation Approaches (2025)
- Development of a Modality System and Algorithm for Calculating the Toe-Brachial Index (TBI) as a Mode of Early Detection of Cardiovascular Disease (2025)
- Development of an Immunoassay Tool for HbA1c Examination (2024)
- An Innovative Solution To Optimize Digital Technology And The Health System Strengthening In Accelerating The Reduction Of Foetal-Maternal Mortality: Indonesia-Australia Study (2024)
- Morphological Arrhythmia Classification Based on Inter-patient and Two Leads ECG using Machine Learning (2024)
- Epileptic Seizure Prediction From EEG Signal Recording Using Energy and Dispersion Entropy with SVM Classifier (2024)
- Clinical improvement of gastroesophageal reflux disease (GERD) patients with warm ear stimulation, initial exploratory study on the anterior branch of the vagal nerve (Jacobson’s nerve) (2024)
- Morphological Arrhythmia Classification Based on Inter-Patient and Two Leads ECG Using Machine Learning (2024)
- Smartphone-Integrated Reverse Lens Hemocount Microscope for Red Blood Cell Imaging (2023)
- Improving Fetal Health Monitoring: A Review of the Latest Developments and Future Directions (2023)
- High Throughput and Low Latency Wireless Communication System using Bandwidth-Efficient Transmission for Medical Internet of Thing (2023)
- Multi Modal Feature Extraction for Classification of Vascular Dementia in Post-Stroke Patients Based on EEG Signal (2023)
- 3D Human Pose Estimation Using Blazepose and Direct Linear Transform (DLT) for Joint Angle Measurement (2023)
- Spatial, Spatiotemporal, and Feature Analysis of Electroencephalogram During Imagined Speech with Visual vs Audio Cues (2023)
- VRetino (Virtual Reality on Visual Evoked Potential)-copyright (2018)
- Early Detection Method for Cardiovascular Disease Using Reactive Hyperemia Index (RHI) Calculations from Photoplethysmograph (PPG) Sensor Signals - Patent (2015)
Keyword
Biomechanic, Imaging, Image Processing
English 
Indonesian