Seyed Hesamoddin Hosseini

About

Mr. Seyed Hesamoddin Hosseini was born in Mashhad, Iran. He received the BSc's degree in Computer Engineering from Islamic Azad University (IAU), Mashhad Branch, Mashhad, Iran (Jul. 2021). He passed 152 credits in three years instead of four years with CGPA is 19.04/20 (4 out of 4) which is equivalent to High Distinction in Australian education system and Top-Ranked Student in each term. His BSc thesis with excellent grade was entitle “Lung Cancer Detection Based on Deep Learning” and he submitted a manuscript from the research work. This manuscript entitled "Deep Learning Applications for Lung Cancer Diagnosis: A systematic review" was accepted for the publication in Multimedia Tools and Applications. While working at IAU as a Teaching Assistant (TA), he was responsible for helping with lesson plans, monitoring students, and assisting students with study skills and special assignments. As someone with three years of experience as a teaching assistant, he understands the importance of creating a challenging, fun, and safe environment for students. Therefore, he was admitted at Ferdowsi University of Mashhad (FUM) as exceptional talent in Oct 2021 for the master of science degree in Artificial Intelligence without requiring an entrance exam, which is a routine process for getting admitted for postgraduate studies. He successfully pass 23 credits with CGPA of 16.53/20 (3.51 out of 4), he obtained forth rank in the class among 15 students. His MSC thesis with excellent grade was entitle “PE diagnosis Using Deep Neural Network” in Sep 2023. He was Tutor in Digital Image processing (MSC Course) and Computer vision (BSC Course) at FUM. Also, he was elected Head of the Executive Committee at the 12th International Conference on Computer and Knowledge Engineering (ICCKE2022). Currently, he is a PhD candidate in AI at Curtin Medical School, Perth, Australia. and his focus on Automated Frailty Assessment Using Deep Learning for Predicting Outcomes Following Surgery and Aortic Valve Replacement. His main research topic is efficient deep learning computing. He has also been contributing to a wide span of applications in Machine Learning and Computer Vision. Apart from academic, he is a music enthusiast and have been playing guitar since 15 years old. -My Expertise —————————— •Artificial Intelligence and Image processing •Computer vision •Medical Image processing •Biomedical Image Analysis •Machine Learning •Deep Learning

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