Assistant Professor at Electrical Engineering, Khatam al Anbiya University, Iran
He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.
🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.
🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.
Professional Profiles:
Education:
Ph.D. in Automation and Control Engineering from the University Putra Malaysia, Malaysia, earned between 2011 and 2015, with a GPA of 3.75 on a scale of 4. MSc in Automation and Control Engineering at Islamic Azad University, Gonabad branch, Iran, completed between 2008 and 2011, with a GPA of 18.28 on a scale of 20. BSc in Electronic Engineering from Islamic Azad University, Iran, Birjand, completed between 2002 and 2007, with a GPA of 14.77 on a scale of 20.
Areas of Interest:
- Assistant Professor at the Faculty of Engineering, Khatam al-Anbiya University, from 2018 to the present.
- Lecturer at the Faculty of Engineering, Khatam al-Anbiya University, from 2016 to 2018.
Publications:
Measurement of bubble size and froth velocity using convolutional neural networks
Prediction of Froth Flotation Performance Using Convolutional Neural
Recognition of process conditions of a coal column flotation circuit using computer vision and machine learning
Flotation froth image classification using convolutional neural networks
Machine vision based monitoring and analysis of a coal column flotation circuit
An image segmentation algorithm for measurement of flotation froth bubble size distributions
Development of a machine vision system for real-time monitoring and control of batch flotation process
Application of Image Processing and Adaptive Neuro-fuzzy System for Estimation of the Metallurgical Parameters of a Flotation Process