PROFILE DETAILS
rashadur@cuet.ac.bd , rsdrcse14@gmail.com
Md. Rashadur Rahman is a faculty member of Dept. of CSE, Chittagong University of Engineering & Technology (CUET). He completed his Bachelor of Science degree from Dept. of CSE, CUET securing merit position 1st in his department among 120 students. He was awarded the University GOLD MEDAL for securing highest CGPA (3.96) in the whole batch. He received the award from Mr. Abdul Hamid , President of the People's Republic of Bangladesh in the 4th Convocation of the university in 2019.
Blockchain, Data science, Natural Language Processing
(Pursuing) M.Sc. in Computer Science and Engineering (2019-present)
Chittagong University of Engineering and Technology (CUET)
B.Sc. in Computer Science and Engineering (2015-2019)
Chittagong University of Engineering and Technology (CUET)
Merit Position: 1st (CGPA: 3.96) [University Gold Medalist]
Higher Secondary Certificate (2014)
Dhaka College
Serial No | Title | Authors | Informations | Year |
---|---|---|---|---|
1 | A Secured Electronic Voting System Using Blockchain | Md. Rashadur RahmanMd, Billal Hossain, Mohammad Shamsul Arefin, authorMohammad Ibrahim Khan | International Conference on Intelligent Computing & Optimization, Hua Hin, Thailand, Springer. DOI: https://doi.org/10.1007/978-3-030-68154-8_111 | 2021 |
2 | Towards a Framework for Acquisition and Analysis of Speeches to Identify Suspicious Contents through Machine Learning | Md. Rashadur Rahman, Mohammad Shamsul Arefin , Md. Billal Hossain, Mohammad Ashfak Habib, and A. S. M. Kayes | Complexity, Wiley & Hindawi Limited (Q1, H Index: 52, Cite Score: 3.2, IF: 2.46, DBLP, Scopus, SCI, SCIE indexed) doi: https://doi.org/10.1155/2020/5639787 (available at: https://www.hindawi.com/journals/complexity/2020/5639787/) | 2020 |
3 | Aspect Based Sentiment Classification and Contradiction Analysis of Product Reviews | Md. Shahadat Hossain, Md. Rashadur Rahman, Mohammad Shamsul Arefin | International Conference on Computer Networks, Big Data and IoT (ICCBI - 2019) [Lecture Notes on Data Engineering and Communications Technologies, vol 49. Springer, Cham. https://doi.org/10.1007/978-3-030-43192-1_71] | 2019 |