• Long CV PDF File

  • Long Biography

    Amir Mashmool is currently pursuing a Ph.D. in Computer Science at the University of Bremen, Germany, under the supervision of Professor Rainer Koschke. He received his B.Sc. degree in Computer Engineering from the University of Birjand, Iran, where he studied from 2016 to 2021 and was nominated for the Talented Student Award in May 2021.He has worked as a research assistant under Dr. Mohammad GhasemiGol’s supervision at the Department of Computer Engineering at the University of Birjand. Following this, he completed his M.Sc. in Computer Science at the Department of Informatics, Bioengineering, Robotics, and System Engineering (DIBRIS) at the University of Genova, Italy, from 2021 to 2024.He Complete his master thesis undert the supervision of Professor Daneiel D'Agostino and Professor Giorgio Delzanno with highest grade 10 out of 10. Amir has published several articles in prestigious venues, including the Journal of Systems and Software and IEEE Access. Additionally, he has served as a peer reviewer for IEEE Access. His research interests lie in software engineering, empirical software engineering,human aspects of SE,mining software repositories, cloud/edge computing, and machine learning





    Short Biography (for papers)

    Amir Mashmool is currently pursuing a Ph.D. in Computer Science at the University of Bremen, Germany, under the supervision of Professor Rainer Koschke. He received his B.Sc. degree in Computer Engineering from the University of Birjand, Iran, where he studied from 2016 to 2021 and was nominated for the Talented Student Award in May 2021. Following this, he completed his M.Sc. in Computer Science at the Department of Informatics, Bioengineering, Robotics, and System Engineering (DIBRIS) at the University of Genova, Italy, from 2021 to 2024. Amir has published several articles in prestigious venues, including the Journal of Systems and Software and IEEE Access. Additionally, he has served as a peer reviewer for IEEE Access. His research interests lie in software engineering, empirical software engineering,human aspects of SE,mining software repositories, cloud/edge computing, and machine learning









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