Master of Science in Computer Science - Soft Computing & Artificial Intelligence
from Amirkabir University of Technology
mohammadali.sefidi@gmail.com
Hello! This is Mohammadali Sefidi Esfahani. I obtained my master's degree in Computer Science from Amirkabir University of Technology (AUT), and collaborate with Dr. Mohammad Akbari on the problem of unspecified social event detection from Twitter. Recently, I've been working on the impact of code reviewer recommendation systems on the risk of developer turnover in software projects, and our recent research paper with Dr. Peter Rigby is accepted in ICSE'26. At this stage of my academic journey, I have successfully achieved my educational objectives in my country, and I desire to continue my academic journey in one of the top universities. After exploring various fields and implementing several projects, I believe that there is considerable potential in using AI and Natural Language Processing methodologies in software engineering tasks. In particular, below are some keywords of my recent interests:
Master of Science in Computer ScienceSep. 2021 - Sep. 2023
Amirkabir University of Technology, Tehran, Iran
Cumulative GPA: 19.62 out of 20
Master’s Thesis: Identification of Unspecified Events from Twitter
Supervisor: Dr. Mohammad Akbari
Awards: 1st-ranked student
Bachelor of Science in Computer ScienceSep. 2017 - Jul. 2021
Kharazmi University, Tehran, Iran
Cumulative GPA: 18.26 out of 20
Bachelor’s Thesis: Comparative study on performance of ML models for fall detection in older people
Supervisor: Dr. Mohammad Soltanian
Awards: 1st-ranked student
The Cost vs the Benefit of Adding an Extra Code Reviewer to Mitigate Developer Turnover through Reviewer Recommenders
Mohammadali Sefidi Esfahani, Fahimeh Hajari, Peter C. Rigby
Accepted in ICSE'26
EnrichEvent: Enriching Social Data with Contextual Information for Emerging Event Extraction
Mohammadali Sefidi Esfahani, Mohammad Akbari
Published in Iran Journal of Computer Science, 2025
Comparative Study on Performance of ML Models for Fall Detection in Older People
Mohammadali Sefidi Esfahani, Mohammad Fattahian
Available on PrePrints.org
Feature Learning for Identification of Persian Events from Twitter
Mohammadali Sefidi Esfahani, Mohammad Akbari
Published in CSICC 2023
Graduate Research AssistantAUT, Tehran, Iran
Data Science Innovation CenterNov. 2021 - Sep. 2024
Supervisor: Dr. Mohammad Akbari
Teaching Assistant (Machine Learning)Tehran, Iran
Amirkabir University of Technology Sep. 2023 - Feb. 2024
Lecturer: Dr. Ali Mohades
Lead Teaching Assistant (Machine Learning)Tehran, Iran
Amirkabir University of TechnologySep. 2022 - Feb. 2023
Lecturer: Dr. Mohammad Akbari
Graduate Research AssistantAUT, Tehran, Iran
NLP Innovation CenterNov. 2021 - Aug. 2022
Supervisor: Dr. Ali Mohades and Dr. Mohammad Akbari
Executive Assistant Kharazmi University, Tehran, Iran
ACM Assocication Mar. 2021 - Aug. 2021
Supervisor: Dr. Bardia Panahbehagh
Full CV in PDF.