Sadi Alawadi - RankMe

52 papers B 1Misc 1Journal 32Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Federated Multi-Source Data Fusion for Semi-Supervised Fault Detection in District Heating Substations. Expert Syst. J. Knowl. Eng. Jonne van Dreven, Sadi Alawadi, Abbas Cheddad, Ahmad Nauman Ghazi, Jad Al Koussa, Dirk Vanhoudt
2026	J	`jnl`	SCENTS: multi-source streaming consensus embedding for time series data fusion. Inf. Fusion Jonne van Dreven, Abbas Cheddad, Sadi Alawadi, Ahmad Nauman Ghazi, Jad Al Koussa, Dirk Vanhoudt
2026	J	`jnl`	SHIODEG: a hybrid success-history intelligent optimization algorithm for engineering design problems. J. Supercomput. Sadi Alawadi, Hussam N. Fakhouri, Fahed Alkhabbas, Victor R. Kebande, Feras M. Awaysheh, Abbas Cheddad
2025	—	`conf`	A Comparative Study of Federated Learning Methods for Human Activities Recognition in Healthcare. BCCA Raghu Vamsi Vajjhula, Sadi Alawadi, Prashant Goswami, Satish Kumar Buravelli
2025	—	`conf`	A Personalized and Explainable Federated Learning Approach for Recommendation Systems. EDGE Sadi Alawadi, Feras Awaysheh, Thambugala Athukoralalage Jayani Sandunka Athukorala, Saket Gande, Feras M. Awaysheh
2025	J	`jnl`	Exploring the role of project status information in effective code smell detection. Clust. Comput. Khalid Alkharabsheh, Sadi Alawadi, Yania Crespo, José Ángel Taboada
2025	J	`jnl`	FedSparQ: Adaptive Sparse Quantization with Error Feedback for Robust & Efficient Federated Learning. CoRR Chaimaa Medjadji, Sadi Alawadi, Feras M. Awaysheh, Guilain Leduc, Sylvain Kubler, Yves Le Traon
2025	—	`conf`	From Requirements to Test Cases: An NLP-Based Approach for High-Performance ECU Test Case Automation. ICHMS Nikitha Medeshetty, Ahmad Nauman Ghazi, Sadi Alawadi, Fahed Alkhabbas
2025	J	`jnl`	From Requirements to Test Cases: An NLP-Based Approach for High-Performance ECU Test Case Automation. CoRR Nikitha Medeshetty, Ahmad Nauman Ghazi, Sadi Alawadi, Fahed Alkhabbas
2025	J	`jnl`	From data scarcity to diagnostic precision: A novel data augmentation and fault diagnosis framework for district heating substations. Eng. Appl. Artif. Intell. Jonne van Dreven, Abbas Cheddad, Sadi Alawadi, Ahmad Nauman Ghazi, Jad Al Koussa, Dirk Vanhoudt
2025	J	`jnl`	SecureFedPROM: A Zero-Trust Federated Learning Approach With Multi-Criteria Client Selection. IEEE J. Sel. Areas Commun. Mehreen Tahir, Tanjila Mawla, Feras M. Awaysheh, Sadi Alawadi, Maanak Gupta, Muhammad Intizar Ali
2025	—	`conf`	Towards a Sustainable Workflow Scheduling Framework in Edge-Cloud Infrastructures. FMEC Fahed Alkhabbas, Sadi Alawadi, Hussam N. Fakhouri, Feras M. Awaysheh, Majed Ayyad, Muhammad Al-Abdullah
2024	—	`conf`	A Novel Approach for Intrusion Detection using Online Federated Learning on Streaming Data. FMEC Victor Arvidsson, Sadi Alawadi, Martin Boldt, Ola Angelsmark, Fanny Söderlund
2024	J	`jnl`	FedCSD: A Federated Learning Based Approach for Code-Smell Detection. IEEE Access Sadi Alawadi, Khalid Alkharabsheh, Fahed Alkhabbas, Victor R. Kebande, Feras M. Awaysheh, Fabio Palomba, Mohammed Awad
2024	J	`jnl`	Four vector intelligent metaheuristic for data optimization. Computing Hussam N. Fakhouri, Feras M. Awaysheh, Sadi Alawadi, Mohannad Alkhalaileh, Faten Hamad
2024	—	`conf`	LLMRAG: An Optimized Digital Support Service using LLM and Retrieval-Augmented Generation. FMEC Oscar Cederlund, Sadi Alawadi, Feras M. Awaysheh
2024	J	`jnl`	Novel hybrid success history intelligent optimizer with Gaussian transformation: application in CNN hyperparameter tuning. Clust. Comput. Hussam N. Fakhouri, Sadi Alawadi, Feras M. Awaysheh, Faten Hamad
2024	—	`conf`	SHEDAD: SNN-Enhanced District Heating Anomaly Detection for Urban Substations. FMEC Jonne van Dreven, Abbas Cheddad, Sadi Alawadi, Ahmad Nauman Ghazi, Jad Al Koussa, Dirk Vanhoudt
2024	J	`jnl`	SHEDAD: SNN-Enhanced District Heating Anomaly Detection for Urban Substations. CoRR Jonne van Dreven, Abbas Cheddad, Sadi Alawadi, Ahmad Nauman Ghazi, Jad Al Koussa, Dirk Vanhoudt
2024	—	`conf`	The Role of the Data Quality on Model Efficiency: An Exploratory Study on Centralised and Federated Learning. FMEC Gustav Nilsson, Martin Boldt, Sadi Alawadi
2024	J	`jnl`	Toward efficient resource utilization at edge nodes in federated learning. Prog. Artif. Intell. Sadi Alawadi, Addi Ait-Mlouk, Salman Toor, Andreas Hellander
2023	—	`conf`	ART4FL: An Agent-Based Architectural Approach for Trustworthy Federated Learning in the IoT. FMEC Fahed Alkhabbas, Sadi Alawadi, Majed Ayyad, Romina Spalazzese, Paul Davidsson
2023	—	`conf`	An Overview of using of Artificial Intelligence in Enhancing Security and Privacy in Mobile Social Networks. FMEC Hussam N. Fakhouri, Sadi Alawadi, Feras M. Awaysheh, Faten Hamad, Sawsan Al-Zubi, Mohammad Aladwan
2023	J	`jnl`	Beyond Random Noise: Insights on Anonymization Strategies from a Latent Bandit Study. CoRR Alexander Galozy, Sadi Alawadi, Victor R. Kebande, Slawomir Nowaczyk
2023	J	`jnl`	FedBot: Enhancing Privacy in Chatbots with Federated Learning. CoRR Addi Ait-Mlouk, Sadi Alawadi, Salman Toor, Andreas Hellander
2023	J	`jnl`	FedCSD: A Federated Learning Based Approach for Code-Smell Detection. CoRR Sadi Alawadi, Khalid Alkharabsheh, Fahed Alkhabbas, Victor R. Kebande, Feras M. Awaysheh, Fabio Palomba
2023	—	`conf`	Handling Non-IID Data in Federated Learning: An Experimental Evaluation Towards Unified Metrics. DASC/PiCom/CBDCom/CyberSciTech Marc Haller, Christian Lenz, Robin Nachtigall, Feras M. Awaysheh, Sadi Alawadi
2023	Misc	`conf`	MPCFL: Towards Multi-party Computation for Secure Federated Learning Aggregation. UCC Hiroki Kaminaga, Feras M. Awaysheh, Sadi Alawadi, Liina Kamm
2023	J	`jnl`	Selection of human evaluators for design smell detection using dragonfly optimization algorithm: An empirical study. Inf. Softw. Technol. Sultan M. Al Khatib, Khalid Alkharabsheh, Sadi Alawadi
2023	J	`jnl`	Toward efficient resource utilization at edge nodes in federated learning. CoRR Sadi Alawadi, Addi Ait-Mlouk, Salman Toor, Andreas Hellander
2022	J	`jnl`	A comparison of machine learning algorithms on design smell detection using balanced and imbalanced dataset: A study of God class. Inf. Softw. Technol. Khalid Alkharabsheh, Sadi Alawadi, Victor R. Kebande, Yania Crespo, Manuel Fernández Delgado, José A. Taboada
2022	J	`jnl`	ASSERT: A Blockchain-Based Architectural Approach for Engineering Secure Self-Adaptive IoT Systems. Sensors Fahed Alkhabbas, Mohammed Alsadi, Sadi Alawadi, Feras M. Awaysheh, Victor R. Kebande, Mahyar Tourchi Moghaddam
2022	—	`conf`	FLIoDT: A Federated Learning Architecture from Privacy by Design to Privacy by Default over IoT. FMEC Feras M. Awaysheh, Sadi Alawadi, Sawsan Al-Zubi
2022	J	`jnl`	FedQAS: Privacy-aware machine reading comprehension with federated learning. CoRR Addi Ait-Mlouk, Sadi Alawadi, Salman Toor, Andreas Hellander
2022	J	`jnl`	Prioritization of god class design smell: A multi-criteria based approach. J. King Saud Univ. Comput. Inf. Sci. Khalid Alkharabsheh, Sadi Alawadi, Karam Ignaim, Nabeel Zanoon, Yania Crespo, M. Esperanza Manso, José Ángel Taboada González
2022	B	`conf`	Scalable federated machine learning with FEDn. CCGRID Morgan Ekmefjord, Addi Ait-Mlouk, Sadi Alawadi, Mattias Åkesson, Prashant Singh, Ola Spjuth, Salman Toor, Andreas Hellander
2022	J	`jnl`	Security by Design for Big Data Frameworks Over Cloud Computing. IEEE Trans. Engineering Management Feras M. Awaysheh, Mohammad Aladwan, Mamoun Alazab, Sadi Alawadi, José Carlos Cabaleiro, Tomás F. Pena
2021	J	`jnl`	A Blockchain-Based Multi-Factor Authentication Model for a Cloud-Enabled Internet of Vehicles. Sensors Victor R. Kebande, Feras M. Awaysheh, Richard Adeyemi Ikuesan, Sadi Alawadi, Mohammad Dahman Alshehri
2021	—	`conf`	A Federated Interactive Learning IoT-Based Health Monitoring Platform. ADBIS (Short Papers) Sadi Alawadi, Victor R. Kebande, Yuji Dong, Joseph Bugeja, Jan A. Persson, Carl Magnus Olsson
2021	J	`jnl`	Active Machine Learning Adversarial Attack Detection in the User Feedback Process. IEEE Access Victor R. Kebande, Sadi Alawadi, Feras M. Awaysheh, Jan A. Persson
2021	J	`jnl`	Analysing Agreement Among Different Evaluators in God Class and Feature Envy Detection. IEEE Access Khalid Alkharabsheh, Sadi Alawadi, Yania Crespo, M. Esperanza Manso, José A. Taboada
2021	J	`jnl`	Digital forensic readiness in operational cloud leveraging ISO/IEC 27043 guidelines on security monitoring. Secur. Priv. Sheunesu M. Makura, H. S. Venter, Victor R. Kebande, Nickson M. Karie, Richard Adeyemi Ikuesan, Sadi Alawadi
2021	J	`jnl`	Digital forensic readiness intelligence crime repository. Secur. Priv. Victor R. Kebande, Nickson M. Karie, Kim-Kwang Raymond Choo, Sadi Alawadi
2021	J	`jnl`	Scalable federated machine learning with FEDn. CoRR Morgan Ekmefjord, Addi Ait-Mlouk, Sadi Alawadi, Mattias Åkesson, Desislava Stoyanova, Ola Spjuth, Salman Toor, Andreas Hellander
2021	—	`conf`	Towards a Learning-enabled Virtual Sensor Forensic Architecture Compliant with Edge Intelligence. IDSTA Victor R. Kebande, Richard Adeyemi Ikuesan, Feras M. Awaysheh, Sadi Alawadi
2020	—	`conf`	Activity recognition and user preference learning for automated configuration of IoT environments. IOT Fahed Alkhabbas, Sadi Alawadi, Romina Spalazzese, Paul Davidsson
2020	—	`conf`	Leveraging Federated Learning & Blockchain to counter Adversarial Attacks in Incremental Learning. IOT Companion Victor R. Kebande, Sadi Alawadi, Joseph Bugeja, Jan A. Persson, Carl Magnus Olsson
2020	J	`jnl`	TrustE-VC: Trustworthy Evaluation Framework for Industrial Connected Vehicles in the Cloud. IEEE Trans. Ind. Informatics Mohammad Aladwan, Feras M. Awaysheh, Sadi Alawadi, Mamoun Alazab, Tomás F. Pena, José Carlos Cabaleiro
2019	J	`jnl`	An extensive experimental survey of regression methods. Neural Networks Manuel Fernández Delgado, Manisha Sanjay Sirsat, Eva Cernadas, Sadi Alawadi, Senén Barro, Manuel Febrero-Bande
2019	J	`jnl`	Polynomial Kernel Discriminant Analysis for 2D visualization of classification problems. Neural Comput. Appl. Sadi Alawadi, Manuel Fernández Delgado, David Mera, Senén Barro
2019	—	`conf`	Towards Intelligent Personalization of IoT Platforms. IUI Workshops Fabio Paternò, Sadi Alawadi
2017	—	`conf`	Comparative Study of Artificial Neural Network Models for Forecasting the Indoor Temperature in Smart Buildings. Smart-CT Sadi Alawadi, David Mera, Manuel Fernández Delgado, José A. Taboada