Saleh Javadi

Biträdande universitetslektor

Institutionen för matematik och naturvetenskap, Rum J3536

Kort Biografi

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 lecturer at the Department of Mathematics and Natural Sciences at BTH and his research interests include Computer Vision and Machine Learning.

Saleh Javadi has received the Innovator of the Year award in 2019 (SKAPA – Innovation Prize in Memory of Alfred Nobel) in Blekinge for innovative efforts in optimizing 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.

Projekt och publikationer

Nyligen publicerat
Saleh Javadi, "Increasing motivation", Blekinge Institute of Technology Best practice, EISSN 19000, EISSN 38, Blekinge Tekniska Högskola, 2022
Bruna Palm, Saleh Javadi, Fabio M. Bayer, Viet Thuy Vu, Mats Pettersson, "Inflated Rayleigh Distribution for SAR Imagery Modeling", IEEE International Symposium on Geoscience and Remote Sensing (IGARSS), ISSN 2153-6996, EISSN 2153-7003, International Geoscience and Remote Sensing Symposium (IGARSS 2022), Institute of Electrical and Electronics Engineers (IEEE), 2022
Saleh Javadi, Bruna Palm, Viet Thuy Vu, Mats Pettersson, "Performance Evaluation of Unsupervised Coregistration Algorithms for Multitemporal SAR Images", IEEE International Symposium on Geoscience and Remote Sensing (IGARSS), ISSN 2153-6996, EISSN 2153-7003, International Geoscience and Remote Sensing Symposium (IGARSS), Institute of Electrical and Electronics Engineers (IEEE), 2022
Saleh Javadi, "Computer Vision for Traffic Surveillance Systems", Blekinge Institute of Technology Doctoral Dissertation Series, ISSN 1653-2090, EISSN 12153, EISSN 1, Blekinge Tekniska Högskola, 2021
Muhammad Rameez, Saleh Javadi, Mattias Dahl, Mats Pettersson, "Signal Reconstruction Using Bi-LSTM for Automotive Radar Interference Mitigation", 2021 18th European Radar Conference, EuRAD 2021, Institute of Electrical and Electronics Engineers (IEEE), 2021