Suravi Akhter has been serving as a Lecturer in the Department of Computer science and Engineering (CSE). She received her BSc. and MSc degree in Software Engineering from the Institute of Information Technology, University of Dhaka, Dhaka, Bangladesh in 2019 and 2022. Her major research interests include Machine Learning, Data Science and Natural Language Processing.
Bachelor of Science, Computer Science and Engineering (CSE)
MSc, Institute of Information Technology, University of Dhaka, August 2022.
Thesis: Dataset size-invariant feature reduction techniques to find interactive independent feature for classification
Supervisor: Professor Mohammad Shoyaib, Institute of Information Technology, University of Dhaka
BSc, Institute of Information Technology, University of Dhaka, December 2019.
Machine Learning, Data Science and Natural Language Processing
- Honors scholarship: Directorate of Secondary and Higher Education, Ministry of Education, Bangladesh
- Masters Fellowship: ICT Division, Ministry of Posts, Telecommunications and Information Technology, Bangladesh
Awards
- Best research article award: Research-Publication Fair 2022, University of Dhaka
- Member IEEE
Suravi Akhter, Ahmedul Kabir, Sumon Ahmed, Mohammad Shoyaib. “A Relief Based Feature Subset Selection Method”. In Dhaka University Journal of Applied Science and Engineering (DUJASE), Vol. 6 (2) 1-8, 2021. (Best paper award)
Mahir Mahbub, Suravi Akhter, Ahmedul Kabir & Zerina Begum. “A comparative study of different embedding methods for context-based bengali next word prediction”. Dhaka University Journal of Applied Science and Engineering (DUJASE), Vol. 7 (2) 8-15, 2022.
Hasan Tarek, Suravi Akhter, Sumon Ahmed, Md. Shariful Islam, Mohammad Shoyaib & Zerina Begum. “A clustering based feature selection approach using maximum spanning tree”. Dhaka University Journal of Applied Science and Engineering (DUJASE), Vol. 7 (2) 47-55, 2022.
Suravi Akhter, Sadia Sharmin, Sumon Ahmed, Abu Ashfaqur Sajib & Mohammad Shoyaib. “mrelief: A reward penalty based feature subset selection considering data overlapping problem”. International conference in computational science (ICCS 2021, Core rank: A)
Suravi Akhter, Afia Sajeeda & Ahmedul Kabir. “A Distance-Based Feature Selection Approach for Software Anomaly Detection”. Evaluation of Novel Approaches to Software Engineering (ENASE 2023, Scopus Indexed)