Md. Saiful Islam (মোঃ সাইফুল ইসলাম)

Assistant Professor

Research Area:

Artificial Intelligence and Machine Learning
Database, Data mining and Information Systems

Research Interest:

Health Informatics, Machine Learning, Computer Vision, Natural Language Processing, Multimodal Learning, Social Network Analysis

Academic Background:

• B.Sc. in CSE (2017) , Bangladesh University of Engineering & Technology.
• H.S.C. (2011), Dhaka Residential Model College.
• S.S.C. (2009), Daudkandi Adarsha High School.

Selected Publications:

Journal Papers:

1.

Md Saiful Islam, Mohammed Eunus Ali, Yong-Bin Kang, Timos Sellis, Farhana M Choudhury, Shamik Roy, Keyword aware influential community search in large attributed graphs, Information Systems, 104, 101914, 2022. [paper link]

2.

Wasifur Rahman, Sangwu Lee, Md Saiful Islam, Victor Nikhil Antony, Harshil Ratnu, Mohammad Rafayet Ali, Abdullah Al Mamun, Ellen Wagner, Stella Jensen-Roberts, Emma Waddell, Taylor Myers, Meghan Pawlik, Julia Soto, Madeleine Coffey, Aayush Sarkar, Ruth Sc, Detecting Parkinson Disease Using a Web-Based Speech Task: Observational Study, Journal of medical Internet research, 23, e26305, 2021. [paper link]

Conference Papers:

1.	Tahmid Hasan, Abhik Bhattacharjee, Md Saiful Islam, Kazi Samin, Yuan-Fang Li, Yong-Bin Kang, M Sohel Rahman, Rifat Shahriyar, XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages, Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 4693–4703, 2021. [paper link]
2.	Md Kamrul Hasan, James Spann, Masum Hasan, Md Saiful Islam, Kurtis Haut, Rada Mihalcea, Ehsan Hoque, Hitting your MARQ: Multimodal ARgument Quality Assessment in Long Debate Video, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021. [paper link]
3.	Md Rafid Ul Islam, Md Saiful Islam, Zakaria Ahmed, Anindya Iqbal, Rifat Shahriyar, Automatic Detection of NoSQL Injection Using Supervised Learning, 2019 IEEE 43rd Annual Computer Software and Applications Conference, COMPSAC 2019, 2019.