Bahria University

Discovering Knowledge

DR. MUHAMMAD SAQIB SOHAIL

PERSONAL INFORMATION
Email saqibsohail.bulc@bahria.edu.pk
Phone 04299233408258
Research Area Machine Learning, Artificial Intelligence and its application in healthcare
Number of Publications 12
QUALIFICATION
DEGREE PASSING YEAR MAJORS UNIVERSITY
Ph.D. 2020 Computer Engineering Hong Kong University of Science and Technology, Hong Kong
M.S. 2008 Electrical Engineering King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia
B.S. 2005 Electrical Engineering University of Engineering & Technology, Pakistan
TEACHING EXPERIENCE
DESIGNATION FROM TO ORGANIZATION
PUBLICATIONS
Books and Reports
1 I am Muhammad Saqib Sohail, an Associate Professor in the Department of Computer Science at Bahria University, Lahore, Pakistan. I received my BSc in Electrical Engineering (Honors) from the University of Engineering and Technology, Lahore, and my MSc in Electrical Engineering from King Fahd University of Petroleum and Minerals (KFUPM) in Dhahran, Saudi Arabia, where I was awarded a scholarship. I earned my PhD in Electronic and Computer Engineering from the Hong Kong University of Science and Technology (HKUST), Hong Kong, supported by the Hong Kong Postgraduate Fellowship, and subsequently completed a postdoctoral fellowship at HKUST. I am a registered Professional Engineer with the Pakistan Engineering Council. My research interests span machine learning and artificial intelligence—including their applications in healthcare—as well as computational immunology and molecular evolution. I develop systems that leverage machine learning approaches to enhance biomedical diagnostics and immunological research. I have also contributed to advancing the understanding of drivers of evolutionary and epidemiological dynamics through the development of innovative computational models. My work has been published in reputable journals such as Nature Biotechnology, Nature Communications, Advanced Drug Delivery Reviews, Molecular Biology and Evolution, and IEEE Transactions on Signal Processing. I have 13 journal paper, 8 conference papers, and three issued patents—one international and two US patents. I was awarded the Electrical Engineering Department’s Exceptional Teaching Award at KFUPM for the 2012/2013 academic year. I am currently inviting applications for MS and PhD from motivated students with strong analytical skills and an interest in machine learning and artificial intelligence.
Please visit following google scholar link for journals
https://scholar.google.com/citations?user=XRuF7HAAAAAJ&hl=en
International Conferences
Journal Publications

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