Hadeel T. El Kassabi

Orcid: 0000-0002-7992-5748

Affiliations:
  • UAE University, Department of Computer Science and Software Engineering, United Arab Emirates University
  • Concordia University, Concordia Institute for Information Systems Engineering, Montreal, QC, Canada


According to our database1, Hadeel T. El Kassabi authored at least 23 papers between 2014 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
Enhancing arrhythmia prediction through an adaptive deep reinforcement learning framework for ECG signal analysis.
Biomed. Signal Process. Control., 2025

2023
Deep learning approach to security enforcement in cloud workflow orchestration.
J. Cloud Comput., December, 2023

A multi-criteria decision-making (MCDM) approach for data-driven distance learning recommendations.
Educ. Inf. Technol., August, 2023

Empowering Patient Similarity Networks through Innovative Data-Quality-Aware Federated Profiling.
Sensors, July, 2023

2022
Federated Quality Profiling: A quality evaluation of patient monitoring at the Edge.
Proceedings of the 2022 International Wireless Communications and Mobile Computing, 2022

2021
Trends, Technologies, and Key Challenges in Smart and Connected Healthcare.
IEEE Access, 2021

Federated Patient Similarity Network for Data-Driven Diagnosis of COVID-19 Patients.
Proceedings of the 18th IEEE/ACS International Conference on Computer Systems and Applications, 2021

2020
ECG Monitoring Systems: Review, Architecture, Processes, and Key Challenges.
Sensors, 2020

Self-adapting cloud services orchestration for fulfilling intensive sensory data-driven IoT workflows.
Future Gener. Comput. Syst., 2020

Deep Learning Approach for Forecasting Athletes' Performance in Sports Tournaments.
Proceedings of the SITA'20: Theories and Applications, 2020

2019
Trust enforcement in vehicular networks: challenges and opportunities.
IET Wirel. Sens. Syst., 2019

Trust enforcement through self-adapting cloud workflow orchestration.
Future Gener. Comput. Syst., 2019

Automated system for evaluating higher education programs.
Educ. Inf. Technol., 2019

2018
A Multi-Dimensional Trust Model for Processing Big Data Over Competing Clouds.
IEEE Access, 2018

Towards a Multi-model Cloud Workflow Resource Monitoring, Adaptation, and Prediction.
Proceedings of the 17th IEEE International Conference On Trust, 2018

Cloud Workflow Resource Shortage Prediction and Fulfillment Using Multiple Adaptation Strategies.
Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018

2017
Quality Profile-Based Cloud Service Selection for Fulfilling Big Data Processing Requirements.
Proceedings of the 2017 IEEE 7th International Symposium on Cloud and Service Computing, 2017

De-Centralized Reputation-Based Trust Model to Discriminate between Cloud Providers Capable of Processing Big Data.
Proceedings of the 2017 IEEE International Congress on Big Data, 2017

Trust Assessment-Based Multiple Linear Regression for Processing Big Data Over Diverse Clouds.
Proceedings of the Emerging Technologies for Developing Countries, 2017

2016
Big Data Quality: A Quality Dimensions Evaluation.
Proceedings of the 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, 2016

Policy-Based QoS Enforcement for Adaptive Big Data Distribution on the Cloud.
Proceedings of the Second IEEE International Conference on Big Data Computing Service and Applications, 2016

An Hybrid Approach to Quality Evaluation across Big Data Value Chain.
Proceedings of the 2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27, 2016

2014
A Histogram-Based Model for Road Traffic Characterization in VANET.
Proceedings of the Internet of Vehicles - Technologies and Services, 2014


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