- Over
12 years of experience in teaching and supervising industrial and academic
projects in the computer science field.
- Responsible
for implementing the quality of education as directed by the curriculum
heads of Pakistani and UK universities, adhering to Advance HE and UKPSF
standards.
- Recipient
of the International Max E. Lundquist Young Educator Award from the
University of Tennessee, USA.
- Internationally
certified robotics education trainer.
- Mentored
New York Academy of Science (NYAS) students in 2019.
- Holds
extensive certifications in Artificial Intelligence (AI), Machine Learning
(ML), and Computer Vision.
- Expertise in various teaching pedagogical approaches, including Project-based Learning, Inquiry-based Learning, Gamification-based Learning, STEM, and Technology-based Learning.
Currently, I am working as the Head of the School for Computer Science & Software Engineering (CSSE) department at Beaconhouse International College (BIC), a recognized teaching centre of the University of London and Liverpool John Moore’s University in Pakistan. I manage three BIC campuses located at Faisalabad, Lahore, and Islamabad. I have taught in CS and SE fields since 2009 and various programming and core CS courses. I am responsible for implementing the quality of education directed by the curriculum head of the universities, including Pakistani and UK universities. We are implementing the standards of Advance HE and the UK Professional standard Framework (UKPSF).
I am a researcher and educator with over 12 years of experience in teaching and supervising industrial and academic projects in the computer science field, along with a research background. I have won several awards, including the International Max E. Lundquest Young Educator Award from the University of Tennessee in the United States (USA). I am an internationally certified robotics education trainer. I mentored New York Academy of Science (NYAS) students in 2019 for a year. I have extensive certifications in Artificial Intelligence (AI), Machine Learning (ML), Computer Vision, and different teaching pedagogical approaches, including Project-based Learning, Inquiry-based Learning, Gamification-based Learning, STEM, and Technology-based Learning.