Educational Background:
Amir holds a Master of Science (MSc) degree in System Telecommunication Engineering from Shahrood University of Technology, where he graduated with distinction, ranking 1st among all graduated students. Prior to his MSc, he completed his Bachelor of Science (BSc) in Power Electrical Engineering from the University of Bojnord, demonstrating academic excellence throughout his studies.
Research Interest:
Amir’s research interests revolve around image processing, pattern recognition, neural networks, and computer vision. His in-depth understanding of these domains has led to significant contributions in academia, as evidenced by his research publications and ongoing projects.
Experience:
Amir has gained valuable experience as a Teaching Assistant at Shahrood University of Technology, where he imparted knowledge in image processing and neural networks to graduate students. Additionally, he has completed internships at PEK Company and Mazandaran Regional Electric Company, honing his skills in programming and electronic equipment assembly.
Research:
Amir has authored several research papers in esteemed journals, focusing on topics such as single image blind deblurring, pyramidical-based image deblurring, and coarse-to-fine blind image deblurring. His research contributions have been recognized for their impact and significance in the field of signal processing and computer vision.
Certificates and Courses:
Amir is committed to continuous learning and professional development. He has completed various courses and certifications in machine learning, Python programming, and data science, enhancing his skill set and staying abreast of emerging trends and technologies.
Skills:
With proficiency in MATLAB, Python, Arduino, image processing, pattern recognition, and neural networks, Amir possesses the technical expertise and analytical acumen necessary to tackle complex engineering challenges and drive innovation in his field.
Amir Eqtedaei’s dedication to excellence and his relentless pursuit of knowledge make him a valuable asset to the academic and professional communities. His passion for technology and commitment to pushing the boundaries of telecommunication engineering underscore his status as a rising star in the field.
Publication Top Notes: