Ali Jahedsaravani
Engineering · Khatam al-Anbiya university
Research Interests
Machine learning, Deep learning, Fuzzy control. Digital Image processing, Flotation process
Biography
Ali Jahedsaravani was born in Birjand, Iran, in 1985. He graduated from SAMPAD High School (national organization for development of exceptional talents) in Birjand in September 2003. He received the B.S. degree in electrical engineering from Azad University, Birjand branch, Iran, in February 2008. He pursued his M.S. degree at Azad University, Gonabad branch, Iran in June 2011. He completed his Ph.D. degrees in in control and automation engineering from the University Putra Malaysia (UPM) Serdang, Malaysia, in 2014. His research interests lie in the area of Digital image processing, Machine learning, Deep learning and Fuzzy control systems. He has collaborated actively with researchers in several other disciplines of computer and mining science. In the mineral processing field, he has worked on designing a machine vision system for monitoring of flotation circuits. He has also investigated different modelling and control techniques of flotation systems.
Recent Scopus Publications
- Data-based modeling of an industrial flotation column using classic and intelligent machine learning algorithms
- Measurement of bubble size and froth velocity using convolutional neural networks
- Prediction of Froth Flotation Performance Using Convolutional Neural Networks
- Recognition of process conditions of a coal column flotation circuit using computer vision and machine learning
- Flotation froth image classification using convolutional neural networks
Links
- ORCID https://orcid.org/0000-0002-1436-0205
- Google Scholar https://scholar.google.com/citations?user=UUuvkOIAAAAJ
- Scopus https://www.scopus.com/authid/detail.uri?authorId=56033710800