Usama Manzoor

Usama Manzoor
usama.manzoor@giki.edu.pk

Usama Manzoor

Lecturer

Qualifications:

MS Computer Engineering

Research Interests:

Artificial Intelligence, Deep Learning, Machine Learning, Bioinformatics

More Details

Usama Manzoor received his B.Sc. degree in Computer Engineering from the University of Engineering and Technology (UET), Taxila. He was awarded an M.S. degree in Computer Engineering by GIK Institute of Engineering Sciences and Technology after successfully completing his thesis in Artificial Intelligence and Machine Learning.

Engr. Usama Manzoor has served as a Lecturer at UET Lahore and Namal University. Prior to this, he worked as a Graduate Assistant and Lab Engineer, where he gained extensive experience in teaching. He has also supervised multiple Final Year Projects (FYPs) at Namal University.

Currently, he is a Lecturer in the Faculty of Computer Science and Engineering at GIK Institute. His academic journey has been marked by several awards, including an HEC Scholarship, FYP competition awards, and a Graduate Assistantship. Usama Manzoor’s research interests include Bioinformatics, Artificial Intelligence, Machine Learning, Deep Learning, and their applications in various domains.

 

Conference Publications

Journal Publications

Total Publications

0

1

1

 

Representative Publications:

  1. Uzma, Usama Manzoor, Zahid Halim, (2023). Protein encoder: An autoencoder-based ensemble feature selection scheme to predict protein secondary structure. Expert Systems with Applications, 119081, Volume 213, Part B.

https://www.sciencedirect.com/science/article/abs/pii/S0957417422020991

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