Jaber is a Machine Learning Engineer with expertise in machine learning, deep learning, and artificial intelligence, currently focusing on large language models and their applications in health informatics. He recently earned his PhD from the Department of Industrial & Systems Engineering at the University of Florida. During his doctoral studies, he developed and published several cutting-edge deep learning–based methodologies for health informatics in high-impact, top-tier journals.
Latest
May 2026: Built a cloud-deployed multi-agent clinical AI backend using LangGraph, FastAPI, and Azure OpenAI/App Service for patient-message triage, specialty routing, mock clinical tool calls, safety checks, and structured responses (GitHub Repo and the Product).
April 2026: Built a RAG-based multilingual IT support chatbot using Meta Llama-3.1-8B-Instruct as the generator, BGE-M3 for retrieval, BGE reranking, and FAISS vector search. Fine-tuned the generator with QLoRA SFT on the support-ticket data and evaluated performance using retrieval quality, reranked evidence relevance, lexical F1, ROUGE-L, and generated response quality metrics (GitHub Repo).
February 2026: Fine-tuned the Qwen2.5-1.5B-Instruct language model to improve its performance on medical Q&A tasks (GitHub Repo).
January 2026: Accepted publication: “Spline-gated capsule networks with cross-dimensional transformations for nonlinear pose-aware recognition.”
December 2025: PhDone!
October 2025: INFORMS annual meeting and conference, Atlanta, GA. Title: “Finding Minimal Monitoring Windows for Fetal Risk Prediction: A Two-Stage Machine Learning Framework.”
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 (over 300 reviews for the following top-tier journals; see my ORCID):
- Neurocomputing
- Neural Networks
- Information Fusion
- Applied Soft Computing
- Knowledge-Based Systems
- Artificial Intelligence Review
- Journal of Systems Architecture
- Expert Systems with Applications
- Machine Learning with Applications
- Natural Language Processing Journal
- Biomedical Signal Processing and Control
- International Journal of Medical Informatics
- BMC Medical Informatics and Decision Making
- Engineering applications of artificial intelligence
- Remote Sensing Applications: Society and Environment
- International Journal of Computational Intelligence Systems
- International Journal of Machine Learning and Cybernetics
- Archives of Computational Methods in Engineering
- Journal of Data, Information and Management
- Physical and Engineering Sciences in Medicine
- International Journal of Intelligent Systems
- International Urology and Nephrology
- Computational Biology and Chemistry
- Journal of Intelligent & Fuzzy Systems
- Informatics in Medicine Unlocked
- Machine Vision and Applications
- Frontiers in Artificial Intelligence
- Forensic Science International
- Discover Artificial Intelligence
- Intelligence-Based Medicine
- Discover Applied Sciences
- Discover Sustainability
- Discover Neuroscience
- Abdominal Radiology
- BMC Medical Imaging
- Transportation letters
- Healthcare Analytics
- Discover Computing
- npj Digital Medicine
- Multimedia Systems
- Pediatric Radiology
- Cluster Computing
- Discover Analytics
- Discover Imaging
- Ad Hoc Networks
- BMC Oral Health
- Scientific Reports
- BioData Mining