3. Muhammad Abubakar Yamin

Muhammad Abubakar Yamin

PhD Student Fellow
PhD Research Fellow

Research Lines

Visual Geometry and Modelling

Center

IIT Central Research Labs Genova

About

Muhammad Abubakar Yamin is PhD Research Fellow at PAVIS.He worked as a Senior Lecturer at Department of Computer Engineering, Bahria University Islamabad from Aug 2013 to Oct 2017. He is graduate of COMSATS Institute of Information Technology Abbottabad in 2011.He passed his undergraduate degree with distinction and received campus silver medal. He received his MS (Computer Engineering) Degree from College of Electrical & Mechanical Engineering, National University of Sciences & Technology Islamabad in 2013. He received Scholarship and fee waiver in his graduate & post graduate studies. His area of research interest includes image processing, pattern recognition, artificial intelligence, computer vision, medical image processing systems and digital system.

Interests

Neuroimaging Analysis Resting state Dynamic Functional Connectivity Functional neuroimaging task based fMRI Image Processing Medical Image Analysis Machine Learning & Patter Recognition

IIT Publications

  • 2020
  • Yamin A.iit, Paola V., Dayan M., Vascon S., Tessadori J., Massimo F., Murino V.iit, Maria A.R., Sona D.

    Encoding Brain Networks Through Geodesic Clustering of Functional Connectivity for Multiple Sclerosis Classification

    25th International Conference on Pattern Recognition
  • Yamin M.A.iit, Tessadori J.iit, Akbar M.U.iit, Dayan M., Murino V.iit, Sona D.iit
    DOI

    Geodesic Clustering of Positive Definite Matrices for Classification of Mental Disorder Using Brain Functional Connectivity

    Proceedings of the International Joint Conference on Neural Networks
  • 2019
  • Yamin A.iit, Dayan M.iit, Squarcina L., Brambilla P., Murino V.iit, Diwadkar V., Sona D.iit
    DOI

    Analysis of dynamic brain connectivity through geodesic clustering

    Lecture Notes in Computer Science, vol. 11752 LNCS, pp. 640-648
  • Yamin A.iit, Dayan M.iit, Squarcina L., Brambilla P., Murino V.iit, Diwadkar V., Sona D.iit
    DOI

    Comparison of brain connectomes using geodesic distance on manifold: A twins study

    Proceedings - International Symposium on Biomedical Imaging, vol. 2019-April, pp. 1797-1800
  • Yamin M.A.iit, Dayan M.iit, Squarcina L., Diwadkar V., Brambilla P., Murino V.iit, Sona D.iit
    DOI

    Investigating the impact of genetic background on brain dynamic functional connectivity through machine learning: A twins study

    2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings
  • Yamin A.iit, Dayan M., Squarcina L., Brambilla P., Murino V.iit, Diwadkar V., Sona D.iit

    Investigating the Impact of Genetic Background on Brain Dynamic Functional Connectivity Through Machine Learning: A Twins Study

    IEEE-EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS (BHI’19)