Jàber is a Ph.D. candidate in the Department of Industrial & Systems Engineering at the University of Florida, pursuing his current studies under the supervision of Dr. K. Hicklin. His research primarily centers on Machine Learning and Deep Learning, with a current focus on developing advanced deep learning models for applications in Health Informatics.
Latest
September 2025: Accepted publication: “Longitudinal Fetal Heart Rate Analysis Identifies Neonates with Metabolic Acidemia Requiring Therapeutic Hypothermia.”
August 2025: Accepted publication: “KANBalance: Kolmogorov-Arnold Network Mitigates Class Imbalance.”
May 2025: Accepted publication: “DEQ-KAN: Deep Equilibrium Kolmogorov–Arnold Networks for Robust Classification.”
May 2025: Accepted publication: “A Hybrid Learnable Fusion of ConvNeXt and Swin Transformer for Optimized Image Classification.”
October 2024: Officially a Ph.D. candidate.
November 2023: Accepted publication: “A Fast-Response Mathematical Programming Approach for Delivering Disaster Relief Goods: An Earthquake Case Study.”
October 2023: INFORMS annual meeting and conference, Phoenix, AZ. Title: “Deep Learning for Fetal Heart Rate Tracing.”
December 2022: Accepted publication: “A Survey of Machine Learning in Kidney Disease Diagnosis.”
Services
- Journals Peer Reviewer:
- Neurocomputing
- Information Fusion
- Applied Soft Computing
- Knowledge-Based Systems
- Expert Systems with Applications
- Biomedical Signal Processing and Control
- Artificial Intelligence Review
- Scientific Reports
- BMC Medical Informatics and Decision Making
- International Journal of Intelligent Systems
- Journal of Intelligent & Fuzzy Systems
- Frontiers in Artificial Intelligence
- Informatics in Medicine Unlocked
- Discover Artificial Intelligence
- Discover Applied Sciences
- Discover Sustainability
- Healthcare Analytics
- Transportation letters