Sadi Alawadi
Senior Lecturer/Docent
Department of Computer Science
Room J3342, Karlskrona
Research domain: Computer Science
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.
Latest publications
- Ahmad Nauman Ghazi, Nagajyothi Devarapalli, Ashir Javeed, Sadi Alawadi, Fahed Alkhabbas, Khalid Alkharabsheh, "A Feature-Driven Framework for Optimized Software Fault Prediction", 2026 2nd International Conference on Federated Learning and Intelligent Computing Systems, FLICS 2026, pp. 263-271, Institute of Electrical and Electronics Engineers (IEEE), 2026
- Farwa Ikram, Dipanwita Thakur, Sadi Alawadi, Antonella Guzzo, Giancarlo Fortino, "Impact of Post-Training and Quantization-Aware Training in Federated Learning∗", 2026 2nd International Conference on Federated Learning and Intelligent Computing Systems, FLICS 2026, pp. 154-162, Institute of Electrical and Electronics Engineers (IEEE), 2026
- Mounika Karasu, Sadi Alawadi, Fahed Alkhabbas, Mohammad N. Aladwan, "Lean Fine-Tuning on a Budget", 2026 6th International Conference on Machine Learning and Intelligent Systems Engineering, MLISE 2026, pp. 20-27, Institute of Electrical and Electronics Engineers (IEEE), 2026
- Jonne van Dreven, Abbas Cheddad, Ahmad Nauman Ghazi, Sadi Alawadi, Jad Al Koussa, Dirk Vanhoudt, Hoda Kamali, Jonas Cleiren, Ivan Verhaert, "From lab to practice", Energy and AI, EISSN 2666-5468, Vol. 25, Elsevier, 2026
- Hussam Fakhouri, Sadi Alawadi, Alexander Galozy, Fahed Alkhabbas, Mayed Ayyad, Imad Banihani, Khalid Alkharabsheh, Mohammad Aladwan, "SHARP", Scientific Reports, EISSN 2045-2322, Vol. 16, No. 1, Nature Portfolio, 2026
Current projects
No information available
Completed projects
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