I am a lecturer at National University of Computer and Emerging Sciences. My Research profile is available at Google Scholar
Zeshan Khan
Cell# +923159099920
Email: zeshankhanalvi@gmail.com
PhD in Computer Science • Continued...
MS in Computer Science • December 2015
The MS Computer Science is a graduate degree containing courses from different streems and a research work. My research topic in MS Computer Science was An Improved Algorithm for Parenthesization in Matrix Chain Product.
BS in Computer Science • February 2012
The BS Computer Science is an undergrade degree containing courses from different streems like software engineering, web development, basic programming, database systems and a degree project. My Project in BS Computer Science was An Improved Tool for Sequence Allignment that is a tool like clustall W or clustallX but with a difference that this improved tool is able to do allignment of more number of sequences in shorter amount of time (Order of Complaxity) and lesser amount of memory.
Lecturer• August 2017 - Present
Teaching various subject in different semesters. Some of the subjects are listed below:
Jr. Lecturer• September 2015 - August 2017
Teaching various subject in different semesters. Some of the subjects are listed below:
Jr. Lecturer• September 2013 - Present
Teaching the lab content of multiple programming subjects in different semesters.
Web Developer • January 2012 - December 2013
Developed many applications using open source dechnologies like PHP with its different frameworks (CodeIgneter, Wordpress, Zend 2.0) and custom development and multiple APIs (Twitter, Facebook, Google APIs) with an interactive and responsive designe using HTML5, CSS3 and bootstrap. I was responsible for the company website and employees accounts management.
Khan, Z., & Tahir, M. A. (2018). Majority Voting of Heterogeneous Classifiers for Finding Abnormalities in the Gastro-Intestinal Tract. In MediaEval.
Waqas, M., Khan, Z., Anjum, S., & Tahir, M. A. (2020). Lung-Wise Tuberculosis Analysis and Automatic CT Report Generation with Hybrid Feature and Ensemble Learning. In CLEF (Working Notes).
Ali, S. M. F., Khan, M. T., Haider, S. U., Ahmed, T., Khan, Z., & Tahir, M. A. (2020). Depth-Wise Separable Atrous Convolution for Polyps Segmentation in Gastro-Intestinal Tract. In MediaEval.
Khan, B., Syed, T., Khan, Z., & Rafi, M. (2020, June). Textual analysis of End User License Agreement for red-flagging potentially malicious software. In 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) (pp. 1-5). IEEE.
Jha, D., Ali, S., Hicks, S., Thambawita, V., Borgli, H., Smedsrud, P. H., ... & Halvorsen, P. (2021). A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging. Medical image analysis, 70, 102007.
Khan, Z., Khan, M., Yasin, M., Hassan, M., & Tahir, M. A. (2021). Medico 2021: Medical Image Augmentation and Segmentation using Combination of Segmentation Neural Networks.
Khan, Z., Naseer, U., & Tahir, M. A. (2021). Short Text Classification Using TF-IDF Features and Fast Text Learner.
Khan, Z., Alvi, M. U. T., Tahir, M. A., & Memon, S. (2021, January). Medical diagnostic by data bagging for various instances of neural network. In International Conference on Pattern Recognition (pp. 291-298). Springer, Cham.Siddiqui, A., Ahmed, A., Saleem, A. F., Alvi, Z. K., Alam, T., & Qureshi, R. (2021, November). Attention based covid-19 detection using generative adversarial network. In 2021 4th International Conference on Computing & Information Sciences (ICCIS) (pp. 01-06). IEEE.
Khan, Z., Yasin, M., Tahir, M. A., & Khalid, A. B. (2022, September). Voting Neural Network (VNN) for Endoscopic Image Segmentation. In 2022 International Conference on Emerging Trends in Smart Technologies (ICETST) (pp. 1-6). IEEE.