Saleh Javadi
Universitetslektor
Institutionen för matematik och naturvetenskap
Rum J3536, Karlskrona
Saleh Javadi has received the B.Sc. degree in Electrical-Control Engineering from Amirkabir University of Technology in 2009, the M.Sc. degree in Electrical, Electronic and Systems Engineering from The National University of Malaysia in 2013 and the Ph.D. Degree in Systems Engineering from Blekinge Institute of Technology (BTH) in 2021. He is currently a Senior Lecturer at the Department of Mathematics and Natural Sciences at BTH, and his research interests include signal processing, machine learning and computer vision.
Saleh Javadi received the Innovator of the Year award (SKAPA – Innovation Prize in Memory of Alfred Nobel) in Blekinge for innovative efforts in optimising and reducing energy consumption in industries by using artificial intelligence. In addition, he was awarded the ÅForsk Entrepreneur’s prize at the Swedish Innovation Council Day – Swedish Incubators & Science Park’s annual conference in May 2019.
Senaste publikationer
- Muhammad Rameez, Saleh Javadi, Mattias Dahl, Mats Pettersson, "Evaluating deep learning approaches for mitigating interference in automotive radar systems", Computers & electrical engineering, ISSN 0045-7906, EISSN 1879-0755, Vol. 140, Elsevier, 2026
- Simon Hallösta, Saleh Javadi, Mattias Dahl, Mats Pettersson, "Impact of Multispectral Imaging and Vegetation Indices on Neural Network Performance for Weed Detection Using Agricultural UAVs", IEEE Access, EISSN 2169-3536, Vol. 14, pp. 130786-130797, Institute of Electrical and Electronics Engineers (IEEE), 2026
- Gideon Mbiydzenyuy, Filmon Yacob, Saleh Javadi, "Can Physics-Informed Neural Networks Learn Regulatory Compliance Bounds?", 2026 IEEE International Conference on AI and Data Analytics, ICAD 2026, Institute of Electrical and Electronics Engineers Inc., 2026
- Saleh Javadi, "Unsupervised Embedding-Based Clustering for Vehicle Detection Refinement in SAR Imagery", Canadian Conference on Electrical and Computer Engineering, pp. 1114-1118, Institute of Electrical and Electronics Engineers (IEEE), 2026
- Sadegh Javadi, Saleh Javadi, Gideon Mbiydzenyuy, "Hybrid Anomaly Detection for Smart Meters Using Predictive Residuals and Contextual Statistics", AI4IM 2026 - 2026 IEEE Symposium on Artificial Intelligence for Instrumentation and Measurement, Symposium Proceedings, Institute of Electrical and Electronics Engineers (IEEE), 2026