Zakia Khatun

Zakia Khatun

Medical Imaging Data Analyst

Early Stage Researcher, EU H2020-MSCA-ITN-EJD Program

Biography

Zakia Khatun is an early-stage researcher specializing in AI and Medical Imaging. She holds a PhD in Engineering (Biomedical) from Reykjavík University, where she developed AI-driven tools to improve the diagnosis and prognosis of human soft tissue pathologies, particularly tendinopathy. Her research, funded by the EU H2020-MSCA-ITN-EJD-2020 program, aimed to reduce human bias and error in medical image interpretation by enhancing consistency and accuracy. Zakia’s broader interests lie in applying machine and deep learning techniques to healthcare, focusing on advancing medical image analysis and enhancing diagnostic accuracy.

Interests

  • Artificial Intelligence
  • Medical Image Processing & Analysis
  • Computer-Aided Diagnosis (CAD) Systems
  • Predictive Modeling
  • Data Science and Analytics

Education

  • PhD in Engineering, H2020-MSCA-ITN-EJD

    Reykjavík University, Iceland

  • Erasmus Mundus Joint Master Degree in Medical Imaging and Applications

    University of Burgundy, France; University of Cassino, Italy; University of Girona, Spain

  • BSc in Electrical & Electronic Engineering

    American International University-Bangladesh, Bangladesh

Publications

(2025). Assessing Neuromuscular System via Patellar Tendon Reflex Analysis using EMG in Healthy Individuals.

DOI

(2025). Graph Echo State Network for MRI-based Tendon Pathology Classification.

(2024). Beyond pixel Superpixel-based MRI Segmentation through Traditional Machine Learning and Graph Convolutional Network.

DOI

(2022). The Role of Muscle and Tendon in Predicting Cartilage Degeneration and Tendinopathy.

DOI

Projects

Accomplish­ments

PhD Grant, EU H2020-MSCA-ITN-EJD Program

This PhD project is one of 15 positions within the P4-FIT project which was funded by the European Uni­on’s Ho­ri­zon 2020 research and innovation pro­gramme under the Marie Skłodowska-Curie grant agree­ment No 955685.

Erasmus Mundus Joint Master Degree Scholarship in Medical Imaging and Applications (MAIA)

This two-year master’s program in Medical Imaging and Applications, fully funded by the European Union, equips students with expertise in medical image analysis and the development of Computer-Aided Diagnosis (CAD) systems. The program addresses the growing need for professionals skilled in artificial intelligence, machine learning, image processing, and other key technologies that are transforming healthcare through more accurate and early diagnoses.

Dean’s Award for Undergraduate Final Year Project

It was awarded for achieving 7th place out of 155 projects/theses during the 2017-2018 academic year.

Merit-Based Scholarship in Electrical & Electronic Engineering (EEE)

This bachelor’s degree is a four-year program focused on the practical applications of electricity in all its forms, including those within the field of electronics. The scholarship was awarded in recognition of outstanding academic performance throughout the duration of the program.

Dean’s Honour

This honor was awarded for maintaining academic excellence throughout each semester.

Co-curricular activities

 
 
 
 
 

Guest Speaker

IEEE AIUB Student Branch

Aug 2019 – Aug 2019 Dhaka, Bangladesh
Guest Speaker at the Seminar on “Road to Erasmus+ Scholarship”, organized by IEEE AIUB Student Branch at American Internation University-Bangladesh.
 
 
 
 
 

Member of Event Coordination Committee

IEEE Region-10 Student Professional Awareness Venture (SPAVe), supported by IEEE USA

Dec 2016 – Dec 2016 Dhaka
SPAVe stands for Student Professional Awareness Venture. SPAVe took place for the first time in the history of IEEE Bangladesh Section. This venture was supported by IEEE, IEEE USA, IEEE R10, IEEE Bangladesh Section.
 
 
 
 
 

Campus Ambassador

IEEE Bangladesh Section SYW Congress-2016

Oct 2016 – Nov 2016 Dhaka
The largest annual event of IEEE Bangladesh Section.
 
 
 
 
 

Volunteer

AIUB Engineering Jubilation-2016

Jun 2016 – Jul 2016 Dhaka