I am a PhD student in the Department of Computer Science at Oakland University. My academic pursuits are situated within the Laboratory for Correct Software under the supervision of my advisor Prof. Mehdi Bagherzadeh. My research inquiries reside at the confluence of Software Engineering, Big Data, and Machine Learning. My current research is focused on mutation analysis of message passing concurrency models.
I completed my Master of Science degree within the Computer Science department at the University of Illinois. During this period, my research focus was centered around conducting sentiment analysis on Twitter data in the context of the COVID-19 pandemic.
Hobbies: Tennis, volunteering, boating.
Mohsen Moradi Moghadam, Mehdi Bagherzadeh, Raffi Khatchadourian, and Hamid Bagheri. μAkka: Mutation testing for actor concurrency in Akka using real-world bugs. In Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/FSE ’23. ACM, ACM, 2023. (60/473; 12.68% acceptance rate for papers accepted with no major revisions). Accepted with no major revisions. bib
To help advance research on Akka actor concurrency, we presented a framework, to detect and classify bugs from real-world akka projects.
Continuous Understanding, Predicting, and Recommending ...
Restructuring and optimizing machine learning models and code to improve performance, maintainability, and scalability