Comparative Study of Artificial Neural Network Models for Forecasting the Indoor Temperature in Smart Buildings. - Sadi Alawadi; David Mera; Manuel Fernández Delgado; José A. Taboada 001 (Smart-CT, 2017)

Towards Intelligent Personalization of IoT Platforms. - Fabio Paternò; Sadi Alawadi (IUI Workshops, 2019)

Polynomial Kernel Discriminant Analysis for 2D visualization of classification problems. - Sadi Alawadi; Manuel Fernández Delgado; David Mera; Senén Barro (Neural Comput. Appl., 2019)

An extensive experimental survey of regression methods. - Manuel Fernández Delgado; Manisha Sanjay Sirsat; Eva Cernadas; Sadi Alawadi; Senén Barro; Manuel Febrero-Bande (Neural Networks, 2019)

Activity recognition and user preference learning for automated configuration of IoT environments. - Fahed Alkhabbas; Sadi Alawadi; Romina Spalazzese; Paul Davidsson (IOT, 2020)

Leveraging Federated Learning & Blockchain to counter Adversarial Attacks in Incremental Learning. - Victor R. Kebande; Sadi Alawadi; Joseph Bugeja; Jan A. Persson; Carl Magnus Olsson (IOT Companion, 2020)

TrustE-VC: Trustworthy Evaluation Framework for Industrial Connected Vehicles in the Cloud. - Mohammad Aladwan; Feras M. Awaysheh; Sadi Alawadi; Mamoun Alazab; Tomás F. Pena; José Carlos Cabaleiro (IEEE Trans. Ind. Informatics, 2020)

A Federated Interactive Learning IoT-Based Health Monitoring Platform. - Sadi Alawadi; Victor R. Kebande; Yuji Dong; Joseph Bugeja; Jan A. Persson; Carl Magnus Olsson (ADBIS (Short Papers), 2021)

Towards a Learning-enabled Virtual Sensor Forensic Architecture Compliant with Edge Intelligence. - Victor R. Kebande; Richard Adeyemi Ikuesan; Feras M. Awaysheh; Sadi Alawadi (IDSTA, 2021)

Analysing Agreement Among Different Evaluators in God Class and Feature Envy Detection. - Khalid Alkharabsheh; Sadi Alawadi; Yania Crespo; M. Esperanza Manso; José A. Taboada 001 (IEEE Access, 2021)

Active Machine Learning Adversarial Attack Detection in the User Feedback Process. - Victor R. Kebande; Sadi Alawadi; Feras M. Awaysheh; Jan A. Persson (IEEE Access, 2021)

Scalable federated machine learning with FEDn. - Morgan Ekmefjord; Addi Ait-Mlouk; Sadi Alawadi; Mattias Åkesson; Desislava Stoyanova; Ola Spjuth; Salman Toor; Andreas Hellander (CoRR, 2021)

Digital forensic readiness intelligence crime repository. - Victor R. Kebande; Nickson M. Karie; Kim-Kwang Raymond Choo; Sadi Alawadi (Secur. Priv., 2021)

Digital forensic readiness in operational cloud leveraging ISO/IEC 27043 guidelines on security monitoring. - Sheunesu M. Makura; H. S. Venter; Victor R. Kebande; Nickson M. Karie; Richard Adeyemi Ikuesan; Sadi Alawadi (Secur. Priv., 2021)

A Blockchain-Based Multi-Factor Authentication Model for a Cloud-Enabled Internet of Vehicles. - Victor R. Kebande; Feras M. Awaysheh; Richard Adeyemi Ikuesan; Sadi Alawadi; Mohammad Dahman Alshehri (Sensors, 2021)

Scalable federated machine learning with FEDn. - Morgan Ekmefjord; Addi Ait-Mlouk; Sadi Alawadi; Mattias Åkesson; Prashant Singh; Ola Spjuth; Salman Toor; Andreas Hellander (CCGRID, 2022)

FLIoDT: A Federated Learning Architecture from Privacy by Design to Privacy by Default over IoT. - Feras M. Awaysheh; Sadi Alawadi; Sawsan Al-Zubi (FMEC, 2022)

FedQAS: Privacy-aware machine reading comprehension with federated learning. - Addi Ait-Mlouk; Sadi Alawadi; Salman Toor; Andreas Hellander (CoRR, 2022)

A comparison of machine learning algorithms on design smell detection using balanced and imbalanced dataset: A study of God class. - Khalid Alkharabsheh; Sadi Alawadi; Victor R. Kebande; Yania Crespo; Manuel Fernández Delgado; José A. Taboada 001 (Inf. Softw. Technol., 2022)

ASSERT: A Blockchain-Based Architectural Approach for Engineering Secure Self-Adaptive IoT Systems. - Fahed Alkhabbas; Mohammed Alsadi 001; Sadi Alawadi; Feras M. Awaysheh; Victor R. Kebande; Mahyar Tourchi Moghaddam (Sensors, 2022)

Security by Design for Big Data Frameworks Over Cloud Computing. - Feras M. Awaysheh; Mohammad Aladwan; Mamoun Alazab; Sadi Alawadi; José Carlos Cabaleiro; Tomás F. Pena (IEEE Trans. Engineering Management, 2022)

Prioritization of god class design smell: A multi-criteria based approach. - Khalid Alkharabsheh; Sadi Alawadi; Karam Ignaim; Nabeel Zanoon; Yania Crespo; M. Esperanza Manso; José Ángel Taboada González (J. King Saud Univ. Comput. Inf. Sci., 2022)

Handling Non-IID Data in Federated Learning: An Experimental Evaluation Towards Unified Metrics. - Marc Haller; Christian Lenz; Robin Nachtigall; Feras M. Awaysheh; Sadi Alawadi (DASC/PiCom/CBDCom/CyberSciTech, 2023)

ART4FL: An Agent-Based Architectural Approach for Trustworthy Federated Learning in the IoT. - Fahed Alkhabbas; Sadi Alawadi; Majed Ayyad; Romina Spalazzese; Paul Davidsson (FMEC, 2023)

An Overview of using of Artificial Intelligence in Enhancing Security and Privacy in Mobile Social Networks. - Hussam N. Fakhouri; Sadi Alawadi; Feras M. Awaysheh; Faten Hamad; Sawsan Al-Zubi; Mohammad Aladwan (FMEC, 2023)

MPCFL: Towards Multi-party Computation for Secure Federated Learning Aggregation. - Hiroki Kaminaga; Feras M. Awaysheh; Sadi Alawadi; Liina Kamm (UCC, 2023)

FedBot: Enhancing Privacy in Chatbots with Federated Learning. - Addi Ait-Mlouk; Sadi Alawadi; Salman Toor; Andreas Hellander (CoRR, 2023)

FedCSD: A Federated Learning Based Approach for Code-Smell Detection. - Sadi Alawadi; Khalid Alkharabsheh; Fahed Alkhabbas; Victor R. Kebande; Feras M. Awaysheh; Fabio Palomba (CoRR, 2023)

Beyond Random Noise: Insights on Anonymization Strategies from a Latent Bandit Study. - Alexander Galozy; Sadi Alawadi; Victor R. Kebande; Slawomir Nowaczyk (CoRR, 2023)

Selection of human evaluators for design smell detection using dragonfly optimization algorithm: An empirical study. - Sultan M. Al Khatib; Khalid Alkharabsheh; Sadi Alawadi (Inf. Softw. Technol., 2023)

A Novel Approach for Intrusion Detection using Online Federated Learning on Streaming Data. - Victor Arvidsson; Sadi Alawadi; Martin Boldt; Ola Angelsmark; Fanny Söderlund (FMEC, 2024)

LLMRAG: An Optimized Digital Support Service using LLM and Retrieval-Augmented Generation. - Oscar Cederlund; Sadi Alawadi; Feras M. Awaysheh (FMEC, 2024)

SHEDAD: SNN-Enhanced District Heating Anomaly Detection for Urban Substations. - Jonne van Dreven; Abbas Cheddad; Sadi Alawadi; Ahmad Nauman Ghazi; Jad Al Koussa; Dirk Vanhoudt (FMEC, 2024)

The Role of the Data Quality on Model Efficiency: An Exploratory Study on Centralised and Federated Learning. - Gustav Nilsson; Martin Boldt; Sadi Alawadi (FMEC, 2024)

FedCSD: A Federated Learning Based Approach for Code-Smell Detection. - Sadi Alawadi; Khalid Alkharabsheh; Fahed Alkhabbas; Victor R. Kebande; Feras M. Awaysheh; Fabio Palomba; Mohammed Awad (IEEE Access, 2024)

Novel hybrid success history intelligent optimizer with Gaussian transformation: application in CNN hyperparameter tuning. - Hussam N. Fakhouri; Sadi Alawadi; Feras M. Awaysheh; Faten Hamad (Clust. Comput., 2024)

Toward efficient resource utilization at edge nodes in federated learning. - Sadi Alawadi; Addi Ait-Mlouk; Salman Toor; Andreas Hellander (Prog. Artif. Intell., 2024)

Four vector intelligent metaheuristic for data optimization. - Hussam N. Fakhouri; Feras M. Awaysheh; Sadi Alawadi; Mohannad Alkhalaileh; Faten Hamad (Computing, 2024)

Towards a Sustainable Workflow Scheduling Framework in Edge-Cloud Infrastructures. - Fahed Alkhabbas; Sadi Alawadi; Hussam N. Fakhouri; Feras M. Awaysheh; Majed Ayyad; Muhammad Al-Abdullah (FMEC, 2025)

From data scarcity to diagnostic precision: A novel data augmentation and fault diagnosis framework for district heating substations. - Jonne van Dreven; Abbas Cheddad; Sadi Alawadi; Ahmad Nauman Ghazi; Jad Al Koussa; Dirk Vanhoudt (Eng. Appl. Artif. Intell., 2025)

From Requirements to Test Cases: An NLP-Based Approach for High-Performance ECU Test Case Automation. - Nikitha Medeshetty; Ahmad Nauman Ghazi; Sadi Alawadi; Fahed Alkhabbas (CoRR, 2025)

SecureFedPROM: A Zero-Trust Federated Learning Approach With Multi-Criteria Client Selection. - Mehreen Tahir; Tanjila Mawla; Feras M. Awaysheh; Sadi Alawadi; Maanak Gupta; Muhammad Intizar Ali (IEEE J. Sel. Areas Commun., 2025)