Profile

Rakibul Hassan

রাকিবুল হাসান

Assistant Professor

I am a person who dreams about changing the world by means of research as well as sharing my thoughts with many others who may also put a big impact on developing a better society. I believe that proper use of technology can remove evilness like corruption from the world.  Specifically, I am interested to work with Machine Learning, AI, and cyber security-based real-world problems. Python is my favorite language for ML and Neural Networks implementation.  Moreover, sports programming is one of my hobbies. During my undergraduate life, I participated in several national contests like the Dhaka regional of ACM-ICPC (2016, 2017 &2018), the National Collegiate Programming contest NCPC (2015,2016 & 2017), and several other Inter-University Programming Contests on behalf of RUET. I want to encourage and help young programmers to enhance their programming skills.
Field of Research
  •  Fake online review detection
  •  Deep learning
  •  Artificial Intelligence
  •  Machine learning
Rakibul Hassan
  •  First Joined: 05th Nov, 2019
  •      Dept. of Electrical & Electronic Engineering

Position

Education

Book / Book Chapter
0
Journal Articles
2
Conference Papers
5
SL Authors Title Publisher Details Publication Year Type
1 Md Nahiduzzaman, Md Rabiul Islam, Rakibul Hassan ChestX-Ray6: Prediction of multiple diseases including COVID-19 from chest X-ray images using convolutional neural network Expert Systems with Applications 2023 Journal
2 Abdullah Al Rafi, Rakibul Hassan, Md Rabiul Islam, Md Nahiduzzaman Real-Time Lightweight Bangla Sign Language Recognition Model Using Pre-trained MobileNetV2 and Conditional DCGAN Springer Nature Singapore 2023 Conference
3 Nusrat Jahan, Md Shamim Anower, Rakibul Hassan Automated diagnosis of pneumonia from classification of chest x-ray im ages using efficientnet IEEE 2021 Conference
4 Rakibul Hassan, Md Rabiul Islam Impact of Sentiment Analysis in Fake Online Review Detection IEEE 2021 Conference
5 Md Nahiduzzaman, Md Omaer Faruq Goni, Md Shamim Anower, Md Robiul Islam, Mominul Ahsan, Julfikar Haider, Saravanakumar Gurusamy, Rakibul Hassan, Md Rakibul Islam A novel method for multivariant pneumonia classification based on hybrid CNN-PCA based feature extraction using extreme learning machine with CXR images IEEE Access 2021 Journal
6 Rakibul Hassan, Md Rabiul Islam Rakibul Hassan A supervised machine learning approach to detect fake online reviews IEEE 2020 Conference
7 Rakibul Hassan, Md. Rabiul Islam Detection of fake online reviews using semi-supervised and supervised learning IEEE 2019 Conference
  •  Runner Up, Inter University Programming Contest organized by Varendra University, Bangladesh in 2017.
  •  Rajshahi Divisional Champion, National Collegiate Programming Contest, Bangladesh, 2016.
  •  Excellent Performance Award from Dept. Of CSE, RUET in 2016. The award was given for outstanding performance in the field of competitive programming.
  •  Technical Scholarship from Rajshahi University of Engineering & Technology for academic excellence.
  •  Talentpul Scholarship for academic excellence in class Viii from Govt. Of Bangladesh.
  •  Talentpul Scholarship for academic excellence in class 5 from Govt. Of Bangladesh.
  •  Course Advisor - 18 Series, ECE Dept.
  •  Software Engineering Career - Business data visualization using PowerBI, Asp.net web application development, team management using git and Jira maintaining scrum framework
Phd Students
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Masters Students
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Undergraduate Students
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Activity Description
Organizing member at RUET Analytical Programming LAB (RAPL)