Rafeed Rahman
Lecturer
Rafeed Rahman is currently working as a lecturer at Brac University. He completed his Bachelor of Science in CSE from BRAC University with an outstanding result. He is currently doing his Masters in Brac University. An excellent academic record, a deep involvement in Artificial Intelligence Research works, ability to implement Deep Learning architectures and other machine learning models, handling complex and immensely huge dataset are his skills. His main research interests include Data Science, Deep Learning, and Computer Vision.
Address
Level: 4
Kha-224 Merul Badda
Dhaka 1212. Bangladesh
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Education
+–2021-2022
MSc in Computer Science and Engineering
Brac University2017-2020
BSc. in Computer Science and Engineering
Brac University
Edexcel International Advanced Level (A-LEVELS)
Academia School2014
Edexcel IGCSE (O-LEVELS)
Academia School -
Publications
+–Conferences
Tasnim, A., Hossain, N., Parvin, N., Tabassum, S., Rahman, R., & Hossain, M. I. (2022). Experimental analysis of classification for different Internet of Things (IoT) network attacks using machine learning and deep learning. 2022 International Conference on Decision Aid Sciences and Applications (DASA), 406–410. https://doi.org/10.1109/DASA54658.2022.9765108
Dofadar, D. F., Abdullah, H. M., Khan, R. H., Rahman, R., & Ahmed, M. S. (2022, September 13). A comparative analysis of lumpy skin disease prediction through machine learning approaches. 4th IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2022. https://doi.org/10.1109/IICAIET55139.2022.9936742
Joy, S. K. S., Dofadar, D. F., Khan, R. H., Ahmed, M. S., & Rahman, R. (2022, July 16). A comparative study on COVID-19 fake news detection using different transformer based models. 2022 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2022. https://doi.org/10.1109/ISIEA54517.2022.9873797
Adnan Habib, M., Raiyan Arefeen, Z., Hussain, A., Rownak Shahriyer, S. M., Islam, T., Rahman, R., & Zavid Parvez, M. (2022). Sound classification using deep learning for hard of hearing and deaf people. 5th International Conference on Inventive Computation Technologies, ICICT 2022, 184–190. https://doi.org/10.1109/ICICT54344.2022.9850916
Ahmed, M. S., Rahman, R., Arefeen, Z. R., Alam, A., & Tahreen, M. (2021). Effort to mitigate malaria via early detection using hybrid machine learning architectures. 31st International Conference on Computer Theory and Applications, ICCTA 2021, 155–159. https://doi.org/10.1109/ICCTA54562.2021.9916630
Rahman, R., Rahman, M. A., & Uddin, J. (2021). Automated cockpit voice recorder sound classification using MFCC features and deep convolutional neural network. In V. E. Balas, A. E. Hassanien, S. Chakrabarti, & L. Mandal (Eds.), Proceedings of International Conference on Computational Intelligence, Data Science and Cloud Computing (pp. 125–141). Springer. https://doi.org/10.1007/978-981-33-4968-1_11
Rahman, F., Ahmed, M. I., Saad, S. S., Ashrafuzzaman, M., Mogno, S. S., Rahman, R., & Parvez, M. Z. (2021, September 15). Prediction and detection in change of cognitive load for VIP’s by a machine learning approach. 2021 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET). https://doi.org/10.1109/IICAIET51634.2021.9573754
Rahman, R., Tanvir, S., & Anwar, M. T. (2021, September 15). Unique approach to detect bowling grips using fuzzy logic contrast enhancement. 2021 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET). https://doi.org/10.1109/IICAIET51634.2021.9574016
Ahmed, M. S., Rahman, R., Hossain, S., & Mohammad, S. A. (2021). Brain tumor prediction by analyzing MRI using deep learning architectures. 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA), 1493–1498. https://doi.org/10.1109/ICIRCA51532.2021.9545077
Rahman, R., Rahman, M. A., Hossain, S., Hossain, S., Akhond, M. R., & Hossain, M. I. (2021). RansomListener: Ransom call sound investigation using LSTM and CNN architectures. 2021 6th International Conference on Inventive Computation Technologies (ICICT), 509–516. https://doi.org/10.1109/ICICT50816.2021.9358488
Rahman, R., Rahman, M. A., Islam, M. S., & Hasan, M. (2021). DeepGrip: Cricket bowling delivery detection with superior CNN architectures. 2021 6th International Conference on Inventive Computation Technologies (ICICT), 630–636. https://doi.org/10.1109/ICICT50816.2021.9358572
Hossain, S., Rahman, R., Ahmed, M. S., & Islam, M. S. (2020). Pneumonia detection by analyzing Xray images using MobileNET, ResNET architecture and long short term memory. 2021 6th International Conference on Inventive Computation Technologies (ICICT), 60–64. https://doi.org/10.1109/ICCTA52020.2020.9477664
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Professional Activities
+–Oct 2021-Present
Lecturer [Full-Time], Department of Computer Science and Engineering, Brac University, Dhaka, Bangladesh.
Brac UniversityFeb 2021-Sept 2021
Contractual Lecturer, Department of Computer Science and Engineering, Brac University, Dhaka, Bangladesh.
Brac UniversityJuly 2020- Dec 2020
Student Tutor, Department of Computer Science and Engineering, Brac University, Dhaka, Bangladesh.
Brac University2018-2020
Pearson Edexcel O-Levels and A-Levels Tutor2014-2018
Teacher’s Assistant – Physics
The Study Town -
Courses Taught
+–CSE 110: Programming Language
CSE 330: Numerical Methods
CSE 341: Microprocessors
CSE 422: Artificial Intelligence
CSE 461: Introduction to Robotics -
Conferences, Talks, and Speaking Engagements
+–Research Paper Presented in the following Conferences:
1. 2021 6th International Conference on Inventive Computation Technologies (ICICT)
2. The 30th International Conference on Computer Theory and Applications (ICCTA 2020)
3. 2021 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)
4. 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA)
5. International Conference on Computational Intelligence, Data Science and Cloud Computing: IEM-ICDC 2020 -
Awards, Honors
+–- The recipient of the Vice-Chancellor’s Medal at the 15th Convocation of BRAC University
- Awarded Vice Chancellor Honors List in 9 times
- Performance Based Scholarship for high CGPA at Brac University
- Merit Based Entrance Scholarship at Brac University for O-levels and A-Levels results.
- Daily Star Awards – For Excellent performance in A-Levels examination.
- Academia Higher Achievement Award - For Excellent performance in A-Levels examination.
- Pearson Edexcel Higher Achievement Awards - For Excellent performance in O-Levels examination.
- Daily Star Awards – For Excellent performance in O-Levels examination.
- Academia Higher Achievement Award - For Excellent performance in O-Levels examination.
- Medal for Best Academic Performance -Maple Leaf International School
- Half Free Scholarship – For consistent good performance in Maple Leaf International School from Class I to Class VIII
- Completed Data Science Math Skills course in COURSERA. The course is provided by Duke University.
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Research Areas/Interests
+–Data Science
Deep Learning
Machine Learning
EEG Signals Processing
Computer Vision
Natural Language Processing
Human Computer Interaction