Ms. Tayyaba Zaheer


Tayyaba Zaheer has been teaching at university level for more than 02 years. She started her career after BS in Computer Science in 2013 as Internee Software Developer at Whizpool, Pakistan. After that she worked as internee at Jolta Technologies, Pakistan. Then she joined a semi government organization i.e. Pakistan Revenue Automation Ltd. (PRAL) as Internee Research and Development. Serving Pakistan Army as a Software developer is also on her credit. Later she has done her MS in Computer Science from School of Electrical Engineering and Computer Science (SEECS), NUST in 2017. During MS studies at NUST, she has served as Teaching Assistant for one semester. After MS, she started her teaching career at Barani Institute of Management Sciences (BIMS). During her teaching career, she taught as Temporary Visiting faculty at different universities including BIMS, Iqra University, and NUST. Currently she is serving as Lecturer Computer Science at Capital University of Science and Technology, Islamabad.

MS Computer Science NUST, Islamabad 2017
BS Computer Science CIIT, Islamabad 2013
Lecturer Capital University of Science and Technology (CUST), Islamabad Since – 2018
TVF National University of Science and Technology, Islamabad 2018 – 2018
TVF Iqra University, Islamabad 2018
TVF Barani Institute of Management Sciences, Rawalpindi 2017 – 2018
Teaching Assistant National University of Science and Technology, Islamabad 2016 – 2017
Software Developer Pakistan Army 2014 – 2015
Internee Pakistan Revenue Automation Ltd. (PRAL) 2013 – 2014
Internee Whizpool, Islamabad 2011 – 2011
  1. Internet of Things ;
  2. Machine Learning ;
  3. Data Mining ;
  4. Mobile Application Development
1. Tayyaba Zaheer, Asad Waqar Malik, Anis Ur Rahman, Ayesha Zahir, and Muhammad Moazam Fraz. “A vehicular network–based intelligent transport system for smart cities.” International Journal of Distributed Sensor Networks 15, no. 11 (2019): 1550147719888845.
1. Tayyaba Zaheer ; Ashher Alam ; Majid I. Khan. “A Test-Bed based Evaluation of Pervasive Fall Detection Schemes”, 13th International Conference on Frontiers of Information Technology (FIT), IEEE , 2015.

Other Members