Muhammad Abubakar Yamin
PhD Student Fellow
PhD Research Fellow
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 RecognitionIIT Publications
- 2020
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Encoding Brain Networks Through Geodesic Clustering of Functional Connectivity for Multiple Sclerosis Classification
25th International Conference on Pattern Recognition -
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
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DOI
Analysis of dynamic brain connectivity through geodesic clustering
Lecture Notes in Computer Science, vol. 11752 LNCS, pp. 640-648 -
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 -
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 -
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)