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Dr. Abdelmounaam Rezgui

Associate Professor of Computer Networking
School Information Technology
  • About
  • Education
  • Awards & Honors
  • Research

Current Courses

497.001Introduction To Research Methodology

379.001Advanced Computer Networks

276.001Data Communications

276.002Data Communications

299.001Independent Honor Study

499.003Independent Research For The Master's Thesis

386.001Introduction to Networking and Parallel and Distributed Computing

386.002Introduction to Networking and Parallel and Distributed Computing

Research Interests & Areas

Networking
Cloud computing
Big data
Social computing
Health informatics
IoT

Ph D Computer Science

Virginia Tech
Blacksburg, VA, USA

MS Computer Science

Purdue University
West Lafayette, IN, USA

IEEE Senior Member

IEEE
2023

Faculty Research Award

School of Information Technology, Illinois State University
2023

Conference Proceeding

Alghatani, K., Rezgui, A., & Ammar , N. Predicting Out-of-Hospital Vital Sign Measurements through Deep Learning (2023)
Rezgui, A. Scaling Personalized Machine Learning through DTW Clustering: Predicting Glycemia Levels as an Example (2023)
Alshammari, A., & Rezgui, A. Better Edges not Bigger Graphs: An Interaction-Driven Friending Algorithm for the Next-Generation Social Networks. 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech) (2020)
Alshammari, M., & Rezgui, A. POX-PLUS: An SDN Controller with Dynamic Shortest Path Routing. IEEE Conference on Cloud Networking (CloudNet) (2020)
Brighen, A., Slimani, H., Rezgui, A., & Kheddouci, H. A Distributed Large Graph Coloring Algorithm on Giraph. 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech) (2020)

Journal Article

Brighen, A., Slimani, H., Rezgui, A., & Kheddouci, H. A new distributed graph coloring algorithm for large graphs. Cluster Computing/Spring US (2023)
Chaira, M., Aouag, S., Cherroun, H., Brik, B., & Rezgui, A. A decentralized blockchain-based authentication scheme for cross-communication in IoT networks. Cluster Computing/Springer US (2023): 1-19.
Lebal, A., Moussaoui, A., & Rezgui, A. Epilepsy-Net: attention-based 1D-inception network model for epilepsy detection using one-channel and multi-channel EEG signals. Multimedia Tools and Applications/Spring US 82.11 (2023)
Alghatani, K., Ammar, N., Rezgui, A., & Shaban-Nejad, A. Precision Clinical Medicine through Machine Learning: Using High and Low Quantile Ranges of Vital Signs for Risk Stratification of ICU Patients. IEEE Access/IEEE 10 (2022)
Lebal, A., Moussaoui, A., & Rezgui, A. Epilepsy-Net: attention-based 1D-inception network model for epilepsy detection using one-channel and multi-channel EEG signals. Multimedia Tools and Applications/Springer (2022): 1-23.

Technical Report

Rezgui, A. An SDN Testbed for ML Experimental Research in Chap.4: Potential Midscale Experimental Research Infrastructures. MERIF Workshop Report to NSF on Future Midscale Experimental Research Infrastructures (2020)

Presentations

Predicting Out-of-Hospital Vital Sign Measurements through Deep Learning. 3rd IEEE International Conference on ICT Solutions for eHealth (ICTS4eHealth). IEEE. (2023)
Scaling Personalized Machine Learning through DTW Clustering: Predicting Glycemia Levels as an Example. IEEE Conference on Big Data. IEEE. (2023)
Cloud-based Intelligent Remote Patient Monitoring. CloudTech 2020 : The 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications. (2020)
Towards Midscale Experimental Research Infrastructures that Support Intelligent, Self-configurable, Software-Defined Networks,. NSF Future Experimental Research Infrastructures Workshop. (2020)

Grants & Contracts

Cloud-based Health Monitoring through Personalized Machine Learning (SRG). School of Information Technology. Illinois State University. (2023)
Cost-effective Road Maintenance through ML and Optimization Methods. Illinois Innovation Network (IIN). State. (2023)
Cost-effective Road Maintenance through Machine Learning and Optimization Methods. Illinois Innovation Network. State. (2023)
Cost-effective Road Maintenance through ML and Optimization Method. SIT. Illinois State University. (2022)
Cloud-based Health Monitoring through Personalized Machine Learning. CAST. Illinois State University. (2021)