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 a dedicated Computer Science professional with a Ph.D. from the International Islamic University Malaysia (2018), complemented by a Master's in Computer Applications from Bangalore University (2013) and a Bachelor's in Computer Applications from the University of Kashmir (2010).
Since 2019, I have been a part of King Faisal University, where I joined as an Assistant Professor and was promoted to Associate Professor in February 2024. In recognition of my research contributions, I have been listed among Stanford/Elsevier's Top 2% of Scientists worldwide and received the Research Excellence Award from King Faisal University in 2022 and 2023-24.
My academic journey includes significant roles as a lecturer and research assistant at the International Islamic University, where I contributed from 2014 to 2018. My research interests and expertise lie in the dynamic fields of Database Systems, Computer Vision, Artificial Intelligence, Deep Learning, and Image Processing. I am passionate about leveraging these technologies to drive innovation and solve complex problems in healthcare and agriculture.
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
Special Issues
Special Issues
open:
open:
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:
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