Atish Kumar Dipongkor, a computer science PhD student at George Mason University (GMU) in the United States, has a educational background in software engineering, with a B.Sc. and M.Sc. from the University of Dhaka (DU) in Bangladesh. He has more than 7 years of experience in software development and research. Currently, he is working at SAGE lab, directed by Dr. Kevin Moran. His research focus is on the intersection between software engineering and machine learning, as well as natural language processing.


[2022-Present]: Doctor of Philosophy, GMU

[2017-2018]: Master of Science in Software Engineering (MSSE), DU

[2010-2013]: Bachelor of Science in Software Engineering (BSSE), DU


[2022-Present]: Graduate Teaching Assistant, GMU

[2018-2022]: Faculty Member, JUST

[2013-2018]: Software Engineer, BrainStation-23


1. Microsoft Most Valuable Professional

2. Champion in National Hackathon 2014 in Water Safety Category.

3. Champion in BASIS Code Warriors Challenge 2014.

4. 1st Runner’s up in Firefox App Challenge 2014 in Service Category.

5. 1st Runner’s up in COVID19 Detection in Blood Exams using Deep Learning.

6. Honorable Mention in AI for Bangla Competition.


[1]. Dipongkor, A.K. Islam, M.S., Kayesh, H., Hossain, M.S., Anwar, A., Rahman, K.A. and Razzak, I., 2021, July. DAAB: Deep Authorship Attribution in Bengali. In 2021 International Joint Conference on Neural Networks (IJCNN) (pp. 1-9). IEEE.

[2]. Dipongkor, A.K. Nashiry, M. A., Abdullah, K. A., & Ritu, R. S. (2021). A Study on Bengali Stemming and Parts-of-Speech Tagging. In Emerging Technologies in Data Mining and Information Security (pp. 35-44). Springer, Singapore.

[3]. Dipongkor, A.K. Ahmed, I., Islam, R., Nahar, N., Satter, A., & Siddik, M. S. (2020). ABMMRS Eradicator: Improving Accuracy in Recommending Move Methods for Web-based MVC Projects and Libraries Using Method’s External Dependencies. International Journal of Software Engineering and Knowledge Engineering (IJSEKE), 30(09), 1289-1307.