PROFILE DETAILS

Md. Rashadur Rahman
Md. Rashadur Rahman
Assistant Professor
E-mail Address

rashadur@cuet.ac.bd , rsdrcse14@gmail.com

About Myself

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.

Field of Interest

Blockchain, Data science, Natural Language Processing


Qualification

(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




Publications
Serial NoTitleAuthorsInformationsYear
1A Secured Electronic Voting System Using BlockchainMd. Rashadur RahmanMd, Billal Hossain, Mohammad Shamsul Arefin, authorMohammad Ibrahim KhanInternational Conference on Intelligent Computing & Optimization, Hua Hin, Thailand, Springer. DOI: https://doi.org/10.1007/978-3-030-68154-8_1112021
2Towards a Framework for Acquisition and Analysis of Speeches to Identify Suspicious Contents through Machine LearningMd. Rashadur Rahman, Mohammad Shamsul Arefin , Md. Billal Hossain, Mohammad Ashfak Habib, and A. S. M. KayesComplexity, 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
3Aspect Based Sentiment Classification and Contradiction Analysis of Product ReviewsMd. Shahadat Hossain, Md. Rashadur Rahman, Mohammad Shamsul ArefinInternational 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