Ahmad Nauman Ghazi
Universitetslektor
Institutionen för programvaruteknik
Rum J2337, Karlskrona
Forskningsområde: Programvaruteknik
Dr.-Tech. Ghazi received the M.Sc., Licentiate of Technology, and Ph.D. degrees in software engineering from the Blekinge Institute of Technology (BTH), Sweden, in 2010, 2014, and 2017, respectively. He is currently a Lecturer with the Department of Software Engineering, Blekinge Institute of Technology. He has extensive experience within software industry, where he was a Software Test Engineer for several years. His research interests include empirical software engineering, software verification and validation, exploratory testing, agile software development, software quality assurance, and software process improvement.
Senaste publikationer
- 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
- 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
- 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
- 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, Vol. 22, Nr. 5, pp. 4526-4536, 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
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