Syed Muhamamd Mujtaba Hassan
Lecturer
mujtaba.hassan@ucp.edu.pk
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Syed Muhammad Mujtaba Hassan is an experienced and committed expert in computer science with an MS degree from Riphah International University and a Bachelor’s degree from Comsats University. He has over 3 plus years of lecturing experience at Riphah International University and the University of Central Punjab, specializing in Machine Learning. He is proficient in building data-intensive applications, overcoming complex architecture, and excels in predictive modeling, data processing, and machine learning algorithms using Python.
| MS Computer Science | Machine Learning | Riphah International University | 2021 |
| BS Computer Science | Computer Science | Comsats University | 2018 |
| Lecturer | University of Central Punjab | 2023-Continue |
| Lecturer | Riphah International University | 2021-2023 |
| Lab-Engineer | Riphah International University | 2020-2021 |
| 1 | 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) , 39-47 . Retrieved from https://dergipark.org.tr/en/pub/aita/issue/70791/1138021 |
| 2 | Batool, Syeda & Hassan, Syed & Mujtaba, Syed. (2020). K-means and Fuzzy c-means Algorithms Comparison using KNIME. 6. 237. |
| 3 | Hussain, Imdad & Hassan, Syed & Tahira, Syeda & Hassan, Syed. (2020). COMPARATIVE PERFORMANCE ANALYSIS OF CLUSTERING ALGORITHMS USING KNIME. |