Asad Kamal

Asad Kamal

Asad Kamal

Senior Lecturer

Asad Kamal, with a robust academic foundation holding a Master of Science (MS) in Computer Science specialized in Natural Language Processing (NLP), Machine Learning and Sentiment Analysis from Bahria University in 2018, along with a Bachelor of Science (BS) in Computer Science from the Virtual University of Pakistan in 2014. He has forged a notable career in both academia and industry. He is currently working as Senior Lecturer at the University of Central Punjab before that he was senior lecturer at Bahria University Lahore Campus and Senior Lab Engineer at Bahria University Lahore Campus, In his career he worked as Senior Software Engineer at Code-Podium and Software Engineer at Webnomics Technologies (2013-2015). His skill set spans Web Design and Development, Natural Language Programming, and Machine Learning. As a prolific researcher, he has made significant contributions in the field NLP, Machine Learning and Sentiment Analysis. Asad Kamal is not only an educator but also a passionate researcher, combining his academic and practical experience to create meaningful learning experiences for his students. His commitment to technology and education is evident in his career, and he is open to collaborative opportunities and furthering the boundaries of knowledge in the tech and education sectors.

MS(CS)NLP, Machine Learning Bahria University2018
BS(CS)Computer Science Virtual University of Pakistan2014
Sr. Lecturer Bahria University Lahore Campus 2022 - 2023
Sr. Lab EngineerBahria University Lahore Campus2020 - 2022
Lab EngineerBahria University Lahore Campus2017 - 2020
Sr. Software EngineerCode-Podium2015 - 2017
Software EngineerWebnomics Technologies 2013 - 2015
1Asif, M., Qureshi, M. A., Hassan, M. A, Abid, A., Kamal, A. Safdar, A., & Akber, R. (2022, February). Sentiment Analysis of Reviews in Natural Language: Roman Urdu as a Case Study. In 2022 IEEE Access, (vol. 10) (pp. 24945-24954). IEEE.
2Qureshi MA, Asif M, Khan MF, Kamal A, Shahid B. (2023, March). Roman Urdu Sentiment Analysis of Songs Reviews. In VFAST Transactions on Software Engineering (Vol. 11) (PP:101-108) Issue 1.
3Asif, M., Qureshi, M. A., Abid, A., & Kamal, A. (2019, November). A Dataset for the Sentiment Analysis of Indo-Pak Music Industry. In 2019 International Conference on Innovative Computing (ICIC) (pp. 1-6). IEEE.

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