- Faculty
- Faculty Faculty of Sciences and Engineering
- Research Interest
- Expert System Internet of Things (IoT) Smart City Cloud and Edge Computing
- Teaching Materials
- no content
- Academic Background
- PhD in Pervasive Mobile Computing, Lulea University of Technology, Sweden MSc in Computer Science and Engineering, Lulea University of Technology, Sweden BSc in Computer Science and Engineering, Khulna University, Bangladesh
- Awards & Achievements
- R. U. Islam, K. Andersson, and M.S. Hossain. (2017). “Heterogeneous Wireless Sensor Networks Using CoAP and SMS to Predict Natural Disasters,” in Proc. 2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS): The 8th IEEE INFOCOM International Workshop on Mobility Management in the Networks of the Future World (MobiWorld'17). IEEE, 2017, pp. 30–35. Awarded best paper at the conference.
- Selected Publications
- Conference Papers Journal Articles Book Chapters M. Y. A. Emon, N. Vasker, M. S. Hossain, M. A. I. Anik, M. Mia, M. B. R. Nuha, M. Tahsin, M. Hasan, and R. U. Islam, “Real-time pcb flaw detection a vision for more efficient and accurate future,” in 2024 IEEE International Conference on Smart Power Control and Renewable Energy (ICSPCRE). IEEE, 2024, pp. 1–6. T. U. Ahmed, S. Hossain, M. S. Hossain, R. U. Islam, K. Andersson, “A Deep Learning Approach with Data Augmentation to Recognize Facial Expressions in Real Time,” in Proc. of The Third International Conference on Trends in Computational and Cognitive Engineering. Springer,2022, pp. 487-500. S. M. Raihan, M. Ahmed, A. Sharma, M. S. Hossain, R. U. Islam, K. Andersson, “A Belief Rule Based Expert System to Diagnose Alzheimer’s Disease Using Whole Blood Gene Expression Data,” in Proc. Of International Conference on Brain Informatics. Springer, 2022, pp. 301-315. S. M. Raihan, R. U. Islam, M. S. Hossain, K. Andersson, “A BRBES to Support Diagnosis of COVID-19 Using Clinical and CT Scan Data,” in Proc. Of the International Conference on Big Data, IoT, and Machine Learning. Springer, 2022, pp. 483-496. S. Raihan, S.N. Zisad, R.U. Islam, M.S. Hossain, and K. Andersson, “A Belief Rule Base Approach to Support Comparison of Digital Speech Signal Features for Parkinson’s Disease Diagnosis,” in Proc. International Conference on Brain Informatics. Springer, 2021, pp. 388-400. T. A. Sumi, M. S. Hossain, R. U. Islam, and K. Andersson. "Human Gender Detection from Facial Images Using Convolution Neural Network," in Proc. International Conference on Applied Intelligence and Informatics, Springer, 2021, pp. 188-203. R. U. Islam, M. S. Hossain, and K. Andersson, “Inference and Multi-level Learning in a Belief Rule Based Expert System to Predict Flood under Uncertainty,” in Proc. 9th International Conference on Informatics, Electronics & Vision (ICIEV). IEEE, 2020. R. U. Islam, M. S. Hossain, and K. Andersson, “A learning mechanism for BRBES using enhanced Belief Rule-Based Adaptive Differential Evolution,” in Proc. 9th International Conference on Informatics, Electronics & Vision (ICIEV). IEEE, 2020 T. U. Ahmed, S. Hossain, M. S. Hossain, R. U. Islam, and K. Andersson, “Facial expression recognition using convolutional neural network with data augmentation,” in Proc. 2019 Joint 8th International Conference on Informatics, Electronics & Vision (ICIEV) and 2019 3rd International Conference on Imaging, Vision & Pattern Recognition (icIVPR). IEEE, 2019, pp. 336–341. M. Z. Islam, M. S. Hossain, R. U. Islam, and K. Andersson, “Static hand gesture recognition using convolutional neural network with data augmentation,” in Proc. 2019 Joint 8th International Conference on Informatics, Electronics & Vision (ICIEV) and 2019 3rd International Conference on Imaging, Vision & Pattern Recognition (icIVPR). IEEE, 2019, pp. 324–329. R. R. Chowdhury, M. S. Hossain, R. U. Islam, K. Andersson, and S. Hossain, “Bangla handwritten character recognition using convolutional neural network with data augmentation,” in Proc. 2019 Joint 8th International Conference on Informatics, Electronics & Vision (ICIEV) and 2019 3rd International Conference on Imaging, Vision & Pattern Recognition (icIVPR). IEEE, 2019, pp. 318–323. M. N. Jamil, M. S. Hossain, R. U. Islam, and K. Andersson, “A belief rule based expert system for evaluating technological innovation capability of high-tech firms under uncertainty,” in Proc. 2019 Joint 8th International Conference on Informatics, Electronics & Vision (ICIEV) and 2019 3rd International Conference on Imaging, Vision & Pattern Recognition (icIVPR). IEEE, 2019, pp. 330–335 R. U. Islam, K. Andersson, and M. S. Hossain, “Network intelligence for enhanced multi-access edge computing (MEC) in 5g,” in Swedish National Computer Networking Workshop, 2019. M. R. Sabbir Hridoy, M. S. Hossain, R. U. Islam, and K. Andersson, “A web based belief rule based expert system for assessing flood risk,” in P
- Professional Experience
- Ericsson AB, Sweden (April 2022 to October 2024) Responsibilities Conducted research on Multi-Access Edge Computing for 5G and beyond. Participated in Resilient & Intelligent NextG Systems (RINGS) as a reviewer. Worked on the ANIARA Project. Key Accomplishments Successfully developed a prototype in a team to demonstrate the benefits of dynamic computational offloading for mobile devices for Ericsson Research Day. Supervised two students on computational offloading. Luleå University of Technology, Sweden (July 2015 to March 2022) Job Responsibilities Conducted research on Belief Rule Base Expert System (BRBES) and learning mechanisms. Researched federated learning mechanisms, 5G, and Multi-Access Edge Computing. Developed a smart city platform using FIWARE components in a cloud environment. Incorporated various off-the-shelf sensors with the smart city platform. Projects Arctic 5G Wireless Innovation Arena Datacenter Innovation Region Social Development through Secure IoT and Open Data Smartbuy Sense Smart Region Teaching Network Management Teaching Assistant Multimedia System Network Management Network Oriented Programming Object Oriented Programming Talks "An Improved Belief Rule-Based Expert System with an Enhanced Learning Mechanism", Montana State University, September 28, 2020. "Sense Smart Region Platform Workshop", Sweden. "Predicting Environmental Disaster Using Wireless Sensor Network", Forskarfredag 2016, Sweden.
- Affiliation Professional Membership
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