Waqas Ali

Waqas Ali

Waqas Ali

Senior Lecturer

waqasali@ucp.edu.pk

Waqas was born in Lahore, Pakistan. He is doing PhD in computer science from Comsats University Lahore campus. He received the B.S. degree in computer science and the M.S. degree in software engineering from the University of Management and Technology, Lahore, Pakistan. From 2014 to 2015, he was a Software Developer in Assort Tech Pvt., Ltd. After that he started his career as a Lecturer at the Computer Science Department in University of Management and Technology and worked there around 6.5 years. He is now working as a Senior Lecturer in Faculty of Information Technology (FOIT) at UCP. His industry and academia experience, innovative ideas and forward-thinking leadership ability always guide students to offer appropriate technology solutions. He is also a mentor of his programming students for speed programming competitions, and he has strong programming skills. His research interests include natural language processing, information retrieval, data mining and machine learning. He won Technology and Innovation Award from the University of Balochistan, in 2019, and the Entrepreneurship Award from UMT, in January 2020.

PhD Computer Science COMSATS Continued
MS Software Engineering UMT 2018
BS Computer Science UMT 2015
Senior Lecturer UCP 2021-till date
Lecturer UMT 2015-2021
Software Developer Assort Tech Pvt. Ltd2014-2015
1Ghaffar, A., Alanazi, S., Alruwaili, M., Sattar, M. U., Ali, W., Humayun, M., ... & Khan, M. A. (2021). Multi-stage intelligent smart lockdown using sir model to control covid 19. Intelligent Automation and Soft Computing, 28(2).
2Abid, A., Ali, W., Farooq, M. S., Farooq, U., Khan, N. S., & Abid, K. (2020). Semiautomatic classification and duplicate detection from human loss news corpus. IEEE Access, 8, 97737-97747.
3Tariq, A., Siddiqui12, S. Y., Safdar, G., Nasir, S. F. B., Saleem, M. R., Ali, W., ... & Khan, M. A. (2020). Estimating Virtual Trust of Cognitive Social Heterogeneous and Homogeneous Networks empowered with Hierarchal Socio Fuzzy Inference System. IJCSNS, 20(6), 48.
4ur Rehman, K. U., Ali, W., Awan, S. M., Saleem, M. R., & Ashraf, M. A. (2020). Impact of Android Applications on Learning of Kindergarten Students. VFAST Transactions on Software Engineering, 8(1), 14-20.
5Ali, W., Hassan, M. T., Raza, S. F., & Fiaz, U. (2019). Classification Of Twitter’s Data To Get Gender Identification. VAWKUM Transactions on Computer Sciences, 7(1), 26-30.

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