Dr. Haliza Mat Husin

Department expert on statistical analyses. Guide Ph.D. students in conducting high-quality research, finding hidden patterns in complex and unstructured data using advanced analytical approaches. Departmental decision-making authority for new human studies approval under the framework agreements with the Max Planck Ethic Boards. Research and develop quantitative tools to best drive insights into human experience on haptic feedback in teleoperated robotic surgery.

Extracted and consolidated data from complex data sets including vibration signals, physiological signals, and perception for analysis. Performed extensive analysis including descriptive, inferential statistical analysis, and performance analysis to generate insights from the data and make actionable recommendations. Contributed to the consulting and reviewing of human subjects research to ensure that study protocols and ethical documents were tailored to Max Planck ethical research guidelines.

Extracted and pre-processed Magnetocardiography (MCG) signal from raw Magnetoencephalography (MEG) data, validated and developed prediction models for fetal cardiac activity using machine learning. Developed an efficient new data processing algorithm to automate heart rate variability analysis (HRV), and implemented data analytics algorithms including Random Forest and SVM. Supervised and resolved issues in data processing, and in setting up simultaneous ECG and MRI recording system.