Dr. M. Muntasir Rahman

Department of Computer Science and Engineering


Dr. M. Muntasir Rahman received his Ph.D. degree in Computer Applied Technology from the School of Engineering Sciences, University of Chinese Academy of Sciences, Beijing, China, in 2019 under the CAS-TWAS President’s Fellowship program. His Ph.D. dissertation title was "RGB-D Object Detection and Recognition Based on Deep Learning Technique". During his Ph.D. he also received the "Excellent International Graduate Award of University of Chinese Academy of Sciences - 2019". Moreover, he has a patent for his Ph.D. work and some publication in SCI journals.

Currently, he is an Associate Professor in the Dept. of Computer Science and Engineering, Islamic University, Bangladesh. His current research areas focus on Computer Vision, Machine Learning, Deep Learning, and Data Analysis.


Machine Learning, Deep Learning, Computer Vision, Data Science, Python Programming, Operating System, System Analysis and Design, Networking, C/C+.

Research Interests

Computer Vision, Deep Learning, Machine Learning, Artificial Intelligence, Big Data Analysis.


[1] Md Abu Rumman Refat, Bikash Chandra Singh, and Mohammad Muntasir Rahman. "SentiNet: A Nonverbal Facial Sentiment Analysis Using Convolutional Neural Network." International Journal of Pattern Recognition and Artificial Intelligence, vol. 36(4), pp. 2256007, 2022.
[2] Yanhao Tan, Mohammad Muntasir Rahman, Yanfu Yan, Jiaan Xue, Ling Shao, and Ke Lu. "Fine-Grained Categorization From RGB-D Images." IEEE Transactions on Multimedia, vol. 24, pp. 917-928, 2022.
[3] Bikash Chandra Singh, Zulfikar Alom, Haiobo Hu, Mohammad Muntasir Rahman, Mrinal Kanti Baowal, Zeyar Aung, Mohammad Abdul Azim, Mohammad Ali Moni. "COVID-19 Pandemic Outbreak in the Subcontinent: A data driven analysis." Journal of Personalized Medicine, vol. 11(9), pp. 889, 2021.
[4] Md. Shahabub Alam, Mohammad Alamgir Hossain, Md. Ibrahim Abdullah, Md. Shamim Hossain, M. Muntasir Rahman. "Performance Analysis of Throughput for Cooperative Spectrum Sensing in Cognitive Radio." Journal of Network Security Computer Networks, vol. 6(2), pp. 1-8, 2020.
[5] Mohammad Muntasir Rahman, Yanhao Tan, Jian Xue, Ling Shao, and Ke Lu. "3D object detection: Learning 3D bounding boxes from scaled down 2D bounding boxes in RGB-D images." Information Sciences, vol. 476, pp. 147-158, 2019.
[6] B. C. Singh, Mohammad Muntasir Rahman, Md. Sipon Miah, and Mrinal Kanti Baowaly. "Community Detection Using Node Attributes and Structural Patterns in Online Social Networks." Computer and Information Science, vol. 9(7), pp. 1526-1529, 2018.
[7] Libo Zhang, Yihan Sun, Tiejian Luo, and Mohammad Muntasir Rahman. "Note: A Manifold Ranking Based Saliency Detection Method for Camera." Review of Scientific Instruments, vol. 87(9), pp. 096103, 2016.
[8] Jian Xue, Jun Yao, Ke Lu, Ling Shao, and Mohammad Muntasir Rahman. "Efficient volume rendering methods for out-of-Core datasets by semi-adaptive partitioning." Information Sciences, vol. 370-371, pp. 463-475, 2016.
[9] Md. Ibrahim Abdullah, Mohammad Muntasir Rahman, and Mukul Chandra Roy. "Detecting Sinkhole Attacks in Wireless Sensor Network using Hop Count." International Journal of Computer Network and Information Security, vol. 7(3), pp. 50-56, 2015.
[10] Md. Ibrahim Abdullah, M. Muntasir Rahman, Ahsan-ul-Ambia, and Md. Zulfiker Mahmud. "Performance of Conferencing over MANET Routing Protocols." ARPN Journal of Systems and Software, vol. 2(6), pp. 214-218, 2012.
[11] Mohammad Muntasir Rahman, Md Ibrahim Abdullah, and Md Shamim Hossain. "Level based path selection technique in large WSN for hierarchical architecture." International Journal of Advanced Science & Technology, vol. 32, pp. 33-43, 2011.


[1] Yanhao Tan, Ke Lu, Mohammad Muntasir Rahman, and Jian Xue.. "RGBD-FG: A Large-Scale RGB-D Dataset for Fine-Grained Categorization.," In Proceedings of the IEEE International Conference on Multimedia and Expo (ICME), 2020.
[2] Liping Hou, Jian Xue, Ke Lu, Li Hao, and Mohammad Muntasir Rahman.. "A Single-stage Multi-class Object Detection Method for Remote Sensing Images.," In Proceedings of the IEEE Visual Communications and Image Processing (VCIP), pp. 1-4, 2019.
[3] Mohammad Muntasir Rahman, Yanhao Tan, Jian Xue, and Ke Lu. "RGB-D Object Recognition with Multi-modal Deep Convolutional Neural Networks.," In Proceedings of the IEEE International Conference on Multimedia and Expo (ICME), pp. 991-996, 2017.
Last modified: 2022-11-06 05:09:53