Profile

On Leave

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
  •  Parallel Graph Algorithms
  •  High Performance Computing (HPC)
  •  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
IdNameThesis workCurrent Position
Masters Students
IdNameThesis workCurrent Position
Undergraduate Students
IdNameThesis workCurrent Position
Activity Description
Organizing member at RUET Analytical Programming LAB (RAPL)