VU
Virtual University of Pakistan
Federal Government University
Muhammad Zamar Khan
Lecturer
Department of Computer Science
Faculty of Computer Science & Information Technology


M.Phil (Computer Science)


Learning Design and Development | eLearning Specialist ICT | Educational Technology | Instructional Designer | Project Manager | Curriculum Development | EdTech innovator | Machine Learning | Artificial Intelligence
Official Email zamar.khan@vu.edu.pk
Contact +92 (42) 111 880 880 (Ext: 4824)
He is a passionate EdTech innovator, dedicated to advancing the future of education through innovative technology and instructional design. Since 2019, he has made significant contributions at Virtual University, overseeing various technology-driven projects while mentoring the next generation of learners. With over five years of experience in Online and Distance Learning (ODFL), he possesses deep expertise in learning design and development, excelling in the use of course authoring tools and educational technologies. Notably, he contributed to an international Instructional Design project at Saarland University, focused on developing a tailored curriculum for German middle school students. Furthermore, he had the honour of serving as the lead resource person for the nation's first BootCamp on Instructional Design and Development. His mission is to create learning experiences that are dynamic, engaging, and accessible, firmly believing in education's transformative power.
Experience
Lecturer
Virtual University of Pakistan
From Jun 22, 2018 To present
Web Developer
Bits Clan
From Apr 01, 2018 To May 05, 2018
Publications
Category: n/a
Used car price evaluation using three different variants of Linear Regression
This paper exhibits car price estimation framework with the application of three variants of linear regression models. Multivariable Linear Regression, Lasso Regression and Ridge Regression being two different variants of Linear Regression, by applying three different regression models we will select the one with highest accuracy rate for car price estimation.
Year: 2022