Faculty Details

Arjan Ghosh

Arjan Ghosh

Department Computer Science and Engineering
Designation Senior Lecturer
Email [email protected]
Phone +8801752914949
Website

EDUCATION

Khulna University, Khulna, Bangladesh                                   Jan 2023-Present

M. Sc. in Computer Science & Engineering

Thesis topic: Blockchain-based Micropayment System for

Secured Cashless Small Payments

Advisor: Dr. Anupam Kumar Bairagi

BRAC University, Dhaka, Bangladesh                             Jan 2017– Jan 2022

B. Sc. in Computer Science & Engineering

Thesis topic: Sentiment Analysis using NLP

Advisor: Mr. Faisal Bin Ashraf

Govt. M. M. City College, Khulna, Bangladesh                Aug 2014–Aug2016

Higher Secondary School Certificate

Major: Science

Khulna Zilla School. Khulna, Bangladesh              Jan 2007 – Jan 2014

Secondary School Certificate

Major: Science

PUBLICATIONS

1. Hawlader, M., Ghosh, A., Raad, Z. K., Chowdhury, W. A., Shehan, M. S. H., & Ashraf, F. B. (2021). Amazon Product Reviews: Sentiment analysis using supervised learning Algorithms. 2021 International Conference on Electronics, Communications and Information Technology (ICECIT), 1–6. https://doi.org/10.1109/icecit54077.2021.9641243

2. Parvej, M. S., Walid, M. a. A., Ferdib-Al-Islam, N., & Ghosh, A. (2022). Machine Learning Classifiers for Predicting Influence of Digital Technology on academic performance of university students. 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT), 6, 1–6. https://doi.org/10.1109/icccnt54827.2022.9984296

3. Islam, M. A., Nag, A., Chowdhury, S., Fahim, S. F. A., Ghosh, A., & Mumtaj, N. (2023). Utilization of encoding, early stopping, hyper parameter tuning, and machine learning models for bank fraud detection. 2023 IEEE 9th International Women in Engineering (WIE)  onference on Electrical and Computer Engineering (WIECON-ECE). https://doi.org/10.1109/wiecon-ece60392.2023.10456503

4. Dhali, S., Islam, M. H., Barmon, S., & Ghosh, A. (2024). An automatic brick grading system using convolutional neural network: Bangladesh perspective. In Lecture notes in networks and systems (pp. 135–150). https://doi.org/10.1007/978-981-97-1961-7_9

5. Islam, M. A., Nag, A., Roy, N., Dey, A. R., Fahim, S. F. A., & Ghosh, A. (2023). An Investigation into the Prediction of Annual Income Levels Through the Utilization of Demographic Features Employing the Modified UCI Adult Dataset. 2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS). https://doi.org/10.1109/icccis60361.2023.10425394

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