Welcome to the “Research” section, a compilation of my published articles that showcase the intersection of computer science and bioinformatics. Previously, my research primarily focused on CS-heavy topics, highlighting my expertise in machine learning and deep learning. However, as I embark on my PhD journey in bioinformatics, this section will feature groundbreaking studies and discoveries specifically related to the application of data science in genomics, single-cell transcriptomics, and advancing cancer therapeutics. Join me as we delve into the forefront of research where computer science meets the complexities of biology.
Journal articles
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Malik, S., Khan, M. A., Aadam, El-Sayed, H., Iqbal, F., Khan, J., & Ullah, O. (2023). "CARLA+: An Evolution of the CARLA Simulator for Complex Environment Using a Probabilistic Graphical Model". Drones, 7(2), Article 2.
10.3390/drones7020111
Urban chaos thrives / Collaborative driving strives / CARLA+ guides lives -
Malik, S., Khan, M. A., Aadam, El-Sayed, H., Khan, J., & Ullah, O. (2022). "Implanting Intelligence in 5G Mobile Networks—A Practical Approach". Electronics, 11(23), Article 23.
10.3390/electronics11233933
Cities evolve smart / Networks weave intelligence / Slicing future's path -
Aadam, Tubaishat, A., Al-Obeidat, F., Halim, Z., Waqas, M., & Qayum, F. (2022). "EmoPercept: EEG-based emotion classification through perceiver". Soft Computing 26, 10563–10570
10.1007/s00500-021-06578-4
Signals hold secrets / Perceiver sees within mind / Emotion's true realm -
Halim, Z., Sargana, H. M., Aadam, Uzma, & Waqas, M. (2021). "Clustering of graphs using pseudo-guided random walk." Journal of Computational Science, 51, 101281.
10.1016/j.jocs.2020.101281
Clusters emerge bright / Random walks guide the journey / Graphs unveil secrets.