Mr. Mohsin Khan


Mr. Mohsin Khan obtained his MS degree in Computer Science under a Fully Funded Graduate Scholarship from the GIK Institute of Engineering Sciences and Technology, Pakistan, in 2020. His area of research is Machine Learning, Deep Learning, Natural Language Processing, and Multi-view learning. At GIK, he worked at the MDS lab and proposed novel algorithms for multi-view learning. His MS work is published in the Applied Intelligence Journal with an IF of 5.01. He received several awards for his academic performance. He joined academia as a lecturer at Riphah International University (RIU), where he was a member of the R&D committee. He has been working as a lecturer at the Capital University of Science and Technology since March 2022.

MS Computer Science GIK Institute of Engineering Sciences and Technology, Topi, KP 2020
BS Computer Science The University of Haripur 2017
Lecturer Capital University of Science and Technology (CUST), Islamabad Since – 2022
Lecturer Riphah International University (RIU), Lahore 2021 – 2022
Teaching Assistant GIK Institute of Engineering Sciences and Technology, Topi, KP 2018 – 2020
1. Dean Role of Honor Award for academic distinction, GIK Institute, Swabi
2. Fully Funded Scholarship Graduate Assistantship (GA-1) Scheme, GIK Institute, Swabi.
3. High Distinction Award for academic distinction, UOH.
4. Got four-time Prize Award for Best Annual academic performance in under-graduation.

1. Machine Learning
2. Deep Learning
3. Natural Language Processing
4. Multi-view Learning

1. Hussain, S.F., Khan, M. & Siddiqi, I. Co-clustering based classification of multi-view data. Appl Intell (2022).
2. Hassan, S. M., Khan, J., Khan, M. A., Khan, M. S., Ahmad, I., & Khan, M. (2021). Detecting COVID-19 Pandemic Using Sentiment Analysis of Tweets. Artificial Intelligence Theory and Applications, 1(2).
1. Ali, N., Ansari, S., Halim, Z., Ali, R.H., Khan, M.F. and Khan, M., 2019, December. Breast Cancer Classification and Proof of Key Artificial Neural Network Terminologies. In 2019 13th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS) (pp. 1-6). IEEE.

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