Ms.Mahbuba Ferdowsi | Medical Imaging | Best Researcher Award

Universiti Tunku Abdul Rahman, Bangladesh

🔗 Professional Profiles

Orcid

👩‍🔬 Summary

Graduate Research Assistant specializing in Medical Image Processing, Privacy Preserving Machine Learning, and Artificial Intelligence. Proficient in medical signal processing, statistical analysis, and explainable AI, with a solid academic foundation and research experience.

🎓 Education

Master of Engineering Science (Research-based)
Universiti Tunku Abdur Rahman (UTAR), Sungai Long campus, Malaysia
Lee Kong Chian Faculty of Engineering and Science
Feb 2021 – Sep 2023

BSc in Electrical and Electronic Engineering (EEE)
Stamford University Bangladesh, Bangladesh
CGPA: 3.75/4.0, 1st position among 26 students, 157 credits completed
Jan 2016 – Oct 2020

💼 Professional Experience

Graduate Research Assistant
Universiti Tunku Abdur Rahman (UTAR), Sungai Long campus, Malaysia
Feb 2021 – Sep 2023

Focused on Medical Signal Processing, Statistical Analysis, AI, Privacy Preserving ML, and Explainable AI.

🔬 Research Interests

Medical Image Processing 🏥
Privacy Preserving Machine Learning 🔒
Artificial Intelligence 🤖

Publication Top Noted

Assessing the efficacy of machine learning algorithms for syncope classification: A systematic review

Authors: Choon-Hian Goh, Mahbuba Ferdowsi, Ming Hong Gan, Ban-Hoe Kwan, Wei Yin Lim, Yee Kai Tee, Roshaslina Rosli, Maw Pin Tan
Journal: MethodsX
Volume: Not specified
Issue: Not specified
Pages: Not specified
Year: 2024-06
DOI: 10.1016/j.mex.2023.102508

Anticipating Fainting: Real-Time Prediction of Vasovagal Syncope During Head-Up Tilt Table Testing

Authors: Mahbuba Ferdowsi, Ming-Hong Gan, Ban-Hoe Kwan, Maw Pin Tan, Choon-Hian Goh
Journal: Not specified (Conference paper)
Volume: Not applicable
Issue: Not applicable
Pages: Not specified
Year: 2023-11-22

Classification of Syncope in Front-Loaded Head-Up Tilt Test with Support Vector Machine

Authors: Not specified in your query
Journal: Conference paper in 2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)
Volume: Not applicable
Issue: Not applicable
Pages: Not specified
Year: 2022-05-28