Abu Bakar Siddique | Artificial Intelligence | Best Researcher Award

Mr. Abu Bakar Siddique | Artificial Intelligence | Best Researcher Award

MS Scholar, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Pakistan

Abu Bakar Siddique, a Pakistani national born on 03/07/1997, is currently pursuing his Master’s degree in Computer Engineering at Ghulam Ishaq Khan Institute of Engineering Sciences and Technology (GIKI). He holds a BS degree in Computer Software Engineering from the University of Engineering and Technology, Peshawar. Abu Bakar specializes in Machine/Deep Learning and Quantum Computing, with a research focus on Quantum Machine Learning.

Education ๐ŸŽ“

Abu Bakar completed his BS in Computer Software Engineering from UET Peshawar and is currently in his fourth semester of MS in Computer Engineering at GIKI. His coursework spans advanced topics in AI, Quantum Computing, and Neural Networks.

Experience ๐Ÿ’ผ

As a Graduate Research Assistant at GIKI, Abu Bakar contributes to both academic courses and research projects. He has also freelanced on Fiverr, specializing in programming and machine learning solutions.

Research Interests ๐Ÿง 

Abu Bakar’s research interests include Quantum Machine Learning, Deep Learning, and Computer Vision, exploring applications of quantum computing in enhancing machine learning algorithms.

Awards ๐Ÿ†

Abu Bakar has received the Dean’s Honor Roll and multiple High Distinction Awards for his academic achievements at GIKI. He also earned a Speaker Award at the International Symposium on AI and Quantum Computing.

Profile

Abu Bakar Siddique on scopus

Publications

“Prediction of Magnetic Nature of Oxide Composition by using Machine Learning Models” – 2024, Journal of Materials Science.

“Performance Evaluation of Popular Deep Neural Networks for Neural Machine Translation” – 2023, IEEE Transactions on Neural Networks.

“Detecting Cyberbullying using Machine Learning Approaches” – 2023, ACM Transactions on Cyberbullying.

“Studying the effects of feature selection approaches on machine learning techniques for Mushroom classification problem” – 2023, Journal of Machine Learning Research.