Feras Awaysheh

About

Feras Mahmoud Awaysheh, hold a Ph.D. in Big Data and Cloud Computing from the University of Santiago de Compostela (CiTIUS), in the Big Data and Supercomputing research group since 2015. He obtained MSc with honors in computer networks and information security from New York Institute of technology. His main research interest includes large-scale distributed systems and BD analytics in general. Besides, developing parallel and distributed algorithms for resource allocation on-premises and cloud-based clusters. Also, the development of frameworks and middlewares for load-balancing in Grid, Cloud, and BD deployment architectures. Recently, he had invited as a reviewer for many JCR journals in the field of parallel and distributed systems, as for Cluster computing and Future Generation Computer Systems. Apart from that, he recognizes himself as an outgoing person. His hobbies include mountain hiking and rock climbing. These activities helped him understand better how to face critical situations, where he needs to advance with unflinching determination and taught him that to reach higher peaks; he needed to follow his heart sometimes and considered all the paths to the top.

Work

University of Tartu
|

Assistant Professor of Data Systems

Estonia

Education

University of Santiago de Compostela
Spain

PhD

New York Institute of Technology
United States of America

Master

Publications

SecureFedPROM: A Zero-Trust Federated Learning Approach With Multi-Criteria Client Selection

Published by

IEEE Journal on Selected Areas in Communications

Summary

journal-article

MPCFL: Towards Multi-party Computation for Secure Federated Learning Aggregation

Summary

conference-paper

A Comprehensive Study on the Role of Machine Learning in 5G Security: Challenges, Technologies, and Solutions

Published by

Electronics

Summary

journal-article

A Comprehensive Study on the Role of Machine Learning in 5G Security: Challenges, Technologies, and Solutions

Published by

Electronics

Summary

journal-article

Security by Design for Big Data Frameworks Over Cloud Computing

Published by

IEEE Transactions on Engineering Management

Summary

journal-article

ASSERT: A Blockchain-Based Architectural Approach for Engineering Secure Self-Adaptive IoT Systems

Published by

Sensors

Summary

journal-article

ASSERT: A Blockchain-Based Architectural Approach for Engineering Secure Self-Adaptive IoT Systems

Published by

Sensors

Summary

journal-article

Machine Learning Schemes for Anomaly Detection in Solar Power Plants

Published by

Energies

Summary

journal-article

An Attribute-Based Access Control for Cloud Enabled Industrial Smart Vehicles

Published by

IEEE Transactions on Industrial Informatics

Summary

journal-article

Active Machine Learning Adversarial Attack Detection in the User Feedback Process

Published by

IEEE Access

Summary

journal-article

Big Data Resource Management & Networks: Taxonomy, Survey, and Future Directions

Published by

IEEE Communications Surveys & Tutorials

Summary

journal-article

TrustE-VC: Trustworthy Evaluation Framework for Industrial Connected Vehicles in the Cloud

Published by

IEEE Transactions on Industrial Informatics

Summary

journal-article