Sadi Alawadi
Universitetslektor/docent
Institutionen för datavetenskap
Rum J3342, Karlskrona
Forskningsområde: Datavetenskap
Sadi Alawadi received his Ph.D. in Computer Science/AI from the Research Center of Intelligent Technologies (CiTIUS) at the University of Santiago de Compostela, Spain, in 2018. He also holds a Master’s degree in Soft Computing and Intelligent Systems from Granada University, awarded in 2012. Currently, he is working as an associate professor at the Blekinge Institute of Technology, Sweden. His academic journey has seen him in various research and teaching roles, including his previous position as an Assistant Professor at Halmstad University, Sweden. He has also held Postdoctoral Research positions at esteemed institutions such as the Department of Information Technology, Division of Scientific Computing at Uppsala University, the IOTAP Research Center at Malmo¨ University, and the Consiglio Nazionale delle Ricerche (CNR) – ISTI in Pisa, Italy .He has several publications in top-tier journals and conferences, including Neural Networks, IEEE Transactions on Engineering Management (TEM), IEEE Transactions on Industrial Informatics (TII), INFSOF, NCA, JKSUCIS, CCGRID, and more. His primary research interests encompass a wide range of cutting-edge areas, such as the Internet of Things (IoT), Machine Learning (ML), Deep Learning, Real-time Analysis, Data Visualization, Big Data, Digital Forensics, Edge and Cloud Computing, Dimensionality Reduction, Blockchain, Federated Learning, Transfer and Interactive Learning, and Internet of Health.
Senaste publikationer
- Jonne van Dreven, Abbas Cheddad, Sadi Alawadi, Ahmad Nauman Ghazi, Jad Al Koussa, Dirk Vanhoudt, "SCENTS", Information Fusion, ISSN 1566-2535, EISSN 1872-6305, Vol. 133, Elsevier, 2026
- Sadi Alawadi, Hussam N. Fakhouri, Fahed Alkhabbas, Victor R. Kebande, Feras M. Awaysheh, Abbas Cheddad, "SHIODEG", Journal of Supercomputing, ISSN 0920-8542, EISSN 1573-0484, Vol. 82, Nr. 5, Springer, 2026
- Jonne van Dreven, Abbas Cheddad, Sadi Alawadi, Ahmad Nauman Ghazi, Jad Al-Koussa, Dirk Vanhoudt, "A Learnable Cross-Modal Adapter for Industrial Fault Detection Using Pretrained Vision Models", IEEE Transactions on Industrial Informatics, ISSN 1551-3203, EISSN 1941-0050, IEEE Computer Society, 2026
- Jonne van Dreven, Sadi Alawadi, Abbas Cheddad, Ahmad Nauman Ghazi, Jad Al Koussa, Dirk Vanhoudt, "Federated Multi‐Source Data Fusion for Semi‐Supervised Fault Detection in District Heating Substations", Expert Systems, ISSN 0266-4720, EISSN 1468-0394, Vol. 43, Nr. 2, John Wiley & Sons, 2026
- Fiza Siyal, Fahed Alkhabbas, Sadi Alawadi, Antonella Guzzo, Giancarlo Fortino, "Towards a Blockchain-Based Federated Learning Framework for Sustainable Supply Chain", 2025 3rd International Conference on Federated Learning Technologies and Applications, FLTA 2025, pp. 134-141, Institute of Electrical and Electronics Engineers (IEEE), 2025
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