Yonis Gulzar, PhD
Professor (Associate)Department of Management Information Systems, King Faisal University, P.O. Box 380, Al-Ahsa, 31982, Saudi Arabia Office: 2028Email: ygulzar@kfu.edu.sa | younisgulzar@gmail.comPhone: +966135896205Embedded Files
I am an Associate Professor of Computer Science at King Faisal University, Saudi Arabia. I received my Ph.D. in Computer Science from the International Islamic University Malaysia (2018), following an M.C.A. from Bangalore University (2013) and a B.C.A. from the University of Kashmir (2010).
Since joining King Faisal University in 2019 as an Assistant Professor, I was promoted to Associate Professor in February 2024. My research contributions have earned me repeated recognition in Stanford/Elsevier’s Top 2% Scientists Worldwide list (2024–2025) and the Research Excellence Award from King Faisal University in both 2022 and 2023–24.
Previously, I served as a lecturer and research assistant at the International Islamic University Malaysia (2014–2018). My research expertise spans Database Systems, Artificial Intelligence, Deep Learning, Computer Vision, and Image Processing, with a strong focus on applying these technologies to address challenges in healthcare and agriculture.
I am passionate about advancing impactful AI-driven solutions that contribute to innovation, knowledge, and sustainable development.
I am interested in research collaborations in computer science, particularly in the application of AI. If you are interested in exploring potential research opportunities together, please contact me at younisgulzar@gmail.com.
Looking for Ph.D./Master Student in Database Systems (Query Processing) (2022)
Research Interest:
Research Interest:
Artificial Intelligence, Deep Learning; Database Systems; Query Processing
Editor:
Editor:
Frontiers in Artificial Intelligence
Frontiers in Plant Science
Impact in Computics
Special Issues
Special Issues
open:
open:
AI-Enabled Resilient Distribution Networks and Active Distribution Systems
Smart Technologies and Computational Intelligence in Agricultural Economics and Trade
Deep Learning for Advanced Image Analysis in Health Informatics
Advancing Medical Imaging with Deep Learning: Efficient Models, Enhancements, and Multimodal Fusion
Information Processing Systems for Sustainable Development for Smart Cities
Feeding the Future: Advancements in Deep Learning for Sustainable Agriculture and Food Security
Federated Learning for Edge-based IoT Anomaly Detection in Big Data Streams
Quantum Computing for Big Data and Deep Learning in the Next Generation of IoT Applications
Closed:
Closed:
To the Future: Adoption of Artificial Intelligence and Blockchain in Agriculture and Healthcare from a Sustainability Perspective (closed 31 August 2023)
Revolutionizing the Future: AI-Driven Deep Learning Solutions for Complex Challenges in Sustainable Development (closed 31 Aug 2025)
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