Addisson Salazar received the Ph.D. degree in Telecommunications from the Universitat Politècnica de València (UPV), Valencia, Spain, in 2011. He received his MSc. degree in Artificial Intelligence and DEA in Telecommunications from UPV in 2020 and 2003, respectively. He has been a Scientific Leader of main research and technological transfer projects involving big and small data. He has proposed solutions for different and challenging real-life problems, such as neurological dynamic behavior modeling for the diagnosis of epilepsy and sleep disorders; non-destructive testing (NDT) for quality evaluation of construction, archaeological ceramics, and defect detection in steam generator tubes at nuclear plants; and automatic credit card fraud detection. He has been a member of the Institute of Telecommunications and Multimedia Applications, UPV since 2007. He has supervised three Ph.D. theses. His publications consist of over 130 papers including journals, patents, books, book chapters, and conference contributions. His current research interests include statistical signal processing; machine learning; multimodal decision fusion; data augmentation; pattern recognition; and graph signal processing algorithms.
Research Keywords & Expertise
Dynamic Modeling
machine learning
Pattern Recognition
Signal processing on g...
Decision fusion
Fingerprints
12%
Signal processing on graphs
7%
Pattern Recognition
6%
Decision fusion
5%
Dynamic Modeling
5%
machine learning
Short Biography
Addisson Salazar received the Ph.D. degree in Telecommunications from the Universitat Politècnica de València (UPV), Valencia, Spain, in 2011. He received his MSc. degree in Artificial Intelligence and DEA in Telecommunications from UPV in 2020 and 2003, respectively. He has been a Scientific Leader of main research and technological transfer projects involving big and small data. He has proposed solutions for different and challenging real-life problems, such as neurological dynamic behavior modeling for the diagnosis of epilepsy and sleep disorders; non-destructive testing (NDT) for quality evaluation of construction, archaeological ceramics, and defect detection in steam generator tubes at nuclear plants; and automatic credit card fraud detection. He has been a member of the Institute of Telecommunications and Multimedia Applications, UPV since 2007. He has supervised three Ph.D. theses. His publications consist of over 130 papers including journals, patents, books, book chapters, and conference contributions. His current research interests include statistical signal processing; machine learning; multimodal decision fusion; data augmentation; pattern recognition; and graph signal processing algorithms.
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