Bahria University

DR. MUHAMMAD SAQIB SOHAIL

PERSONAL INFORMATION
Email	saqibsohail.bulc@bahria.edu.pk
Phone. Ext.	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

Journals & Conferences

• Cross-reactivity assessment of vaccine-derived SARS-CoV-2 T cell responses against BA.2.86 and JN.1 | Viruses
• Inferring epistasis from genetic time-series data | Molecular Biology and Evolution
• Vaccinia-Virus-Based Vaccines Are Expected to Elicit Highly Cross-Reactive Immunity to the 2022 Monkeypox Virus | Viruses
• Identification of Potential SARS-CoV-2 CD8+ T Cell Escape Mutants | Vaccines
• Resolving genetic linkage reveals patterns of selection in HIV-1 evolution | Nature Biotechnology
• In silico T cell epitope identification for SARS-CoV-2: Progress and perspectives | Advanced Drug Delivery Reviews
• Narrowband interference mitigation in SC-FDMA using Bayesian sparse recovery | IEEE Transactions on Signal Processing
• Slotted ALOHA Performance for FU-FB in Frequency Selective Fading Environment | Wireless Communications and Mobile Computing
• Low complexity blind equalization for OFDM systems with general constellations | IEEE Transactions on Signal Processing
• Mean weight behavior of the NLMS algorithm for correlated Gaussian inputs | IEEE Signal Processing Letters
• An EM based frequency domain channel estimation algorithm for multi-user OFDM systems | Signal Processing
• Inferring effects of mutations on SARS-CoV-2 transmission from genomic surveillance data | Nature Communications