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 🎓

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 💼

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 🧠

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 🏆

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.

Esmael Ahmed | Machine Learning | Best Researcher Award

Mr. Esmael Ahmed | Machine Learning | Best Researcher Award

Researcher and Lecturer, Wollo University, Ethiopia

Esmael Ahmed Abdu is a dedicated educator and researcher from Kombolcha, Ethiopia. With a passion for computer science and artificial intelligence, he has contributed significantly to academia through teaching, research, and publication. Esmael’s journey in academia has been marked by a commitment to excellence and a pursuit of knowledge in the field of information technology.

Profile

Orcid

Education 🎓💡

Esmael holds a Master’s degree in Computer Science with Very Great Distinction from the University of Gondar, Ethiopia. His academic journey equipped him with skills in machine learning, natural language processing, data analysis, and advanced distributed systems. He also holds a Bachelor’s degree in Information Science with Very Great Distinction from the same institution.

Experience 💼👨‍🏫

With extensive experience as a lecturer at both Kombolcha Institute of Technology and the University of Gondar, Esmael has taught a range of courses in computer science, including system analysis, data structure, programming, and human-computer interaction. He has mentored graduate students in their final projects and conducted research in machine learning, contributing to international scientific journals.

Research Interests 🌐🔍

Esmael’s research interests lie in machine learning, artificial intelligence, and data analysis. He is particularly interested in applying AI techniques to solve real-world problems, as evidenced by his publications on student performance prediction and maize disease detection using machine learning algorithms. His work demonstrates a commitment to advancing the field of computer science through innovative research.

Awards 🏆🌍

Esmael’s dedication to academia and research has been recognized through various achievements, including his publications in reputable journals such as Applied Computational Intelligence and Soft Computing and the International Journal of Scientific Research in Computer Science, Engineering, and Information Technology. His contributions to the field have earned him accolades and respect from his peers in the academic community.

Publications Top Notes

Book Recommendation system using collaborative filtering

Published on Applied Computational Intelligence and Soft Computing, 2023

Link

Student Performance Prediction Using Machine Learning Algorithms

Published on Applied Computational Intelligence and Soft Computing, 2024

Link

Maize Disease Detection using Color Co-occurrence Features

Published in International Journal of Scientific Research in Computer Science, Engineering and Information Technology

Link