ORCID: https://orcid.org/0000-0003-4024-6462
Google Scholar: https://scholar.google.com/citations?user=RftrHGoAAAAJ
Research Gate: https://www.researchgate.net/profile/Rubaiyat-Islam
Researcher ID: https://www.webofscience.com/wos/author/record/KIL-7010-2024
Dr. Rubaiyat Islam is a seasoned professional with a multifaceted career spanning both academia and industry. Presently, he serves as an Associate Professor in the Department of Computer Science and Engineering at World University Bangladesh (WUB). Before joining WUB, he served as a Crypto-economist at Sifchain Finance in the USA, where he specialized in the intersection of economics and cryptocurrencies. His work involved research in blockchain-based distributed solutions, network analysis with predictive modeling, and the application of machine learning to enhance the crypto ecosystem.
His academic journey culminated in the completion of a Ph.D. degree from the Graduate School of Simulation Studies at the University of Hyogo, Japan. His doctoral thesis centered on the development of network analysis and simulation models for cryptocurrency-based blockchain networks, with a particular emphasis on flow dynamics. This research has equipped him with a deep understanding of the intricacies of blockchain technology and its real-world applications.
In addition to his academic pursuits, he possesses a wealth of experience in the Information Technology sector, gained through roles in multinational companies. His commitment to continuous growth led him to pursue an Executive MBA degree with a major in "Operation Management." This academic endeavor provided him with a holistic perspective, allowing me to comprehend the financial and marketing facets of product development and service delivery planning and forecasting.
Furthermore, he actively contributes to the global tech community as the Chapter Lead for the Omdena Bangladesh Chapter, facilitating collaborative projects that address real-world challenges through data science and AI. His dedication to research and collaboration has led him to participate in joint research projects, present at conferences, and engage in various academic and industry forums.
In summary, his diverse career trajectory, blending research, academia, and industry, underscores his commitment to advancing technology, innovation, and education in the rapidly evolving landscape of blockchain and distributed solutions.
Modeling and simulation of complex systems, Complex networks, and structural dynamics, Machine Learning and deep learning on Natural Language Processing, Computational Economics, Big Data Analysis, Cloud Computing, Cyber Security, blockchain-based distributed application, and solution development.
Islam, R., 2021. Crypto-currency flow among bitcoin users: de-anonymization and dynamics of persistently-active big players by network analysis. Graduate School of Simulation Studies University of Hyogo (Doctoral dissertation, PhD thesis).
Fujiwara, Y. and Islam, R., 2020. Hodge decomposition of bitcoin money flow. Advanced Studies of Financial Technologies and Cryptocurrency Markets, pp.117-137.
Fujiwara, Y. and Islam, R., 2021. Bitcoin’s Crypto Flow Network. In Proceedings of Blockchain in Kyoto 2021 (BCK21) (p. 011002).
Islam, R., Fujiwara, Y., Kawata, S. and Yoon, H., 2021. Unfolding identity of financial institutions in bitcoin blockchain by weekly pattern of network flows. Evolutionary and Institutional Economics Review, 18, pp.131-157.
Islam, R., Fujiwara, Y., Kawata, S. and Yoon, H., 2019. Analyzing outliers activity from the time-series transaction pattern of bitcoin blockchain. Evolutionary and institutional economics review, 16, pp.239-257.
Hossain, T., Hossain, R., Islam, R. and Alam, S.B., 2024, August. Optimizing Warehouse Operations in Bangladesh: Leveraging IoT and Cloud Migration for Enhanced Security and Efficiency. In 2024 11th International Conference on Future Internet of Things and Cloud (FiCloud) (pp. 354-361). IEEE.
Alam, M.K., Islam, R. and Alam, S.B., 2006, March. Solar Ponds Technology for Trappning Solar Energy in the Coastal Zone. In National Seminar on Renewable Energy Focus on Bio Energy (p. 23). University of Dhaka.
Rahman, M.H., Islam, M.M., Al Monir, M.F., Alam, S.B., Rahman, M.M., Shidujaman, M. and Islam, R., 2022, March. Kinematics analysis of a quadruped robot: Simulation and Evaluation. In 2022 2nd International Conference on Image Processing and Robotics (ICIPRob) (pp. 1-6). IEEE.
Limon, K.M.M., Rahman, R., Hasan, M.P., Islam, R. and Alam, S.B., 2023, December. SEECAT: Secure, Efficient, and Economical Cloud Architecture for Multi-Tier Application in Bangladesh. In 2023 26th International Conference on Computer and Information Technology (ICCIT) (pp. 1-6). IEEE.
Mehnaz Islam, Saadia Binte Alam, Mahmudul Haque, Rubaiyat Islam, and Rashedur Rahman, "Pulmonary disease diagnosis from CXR using deep learning” ,International Symposium on Advanced Intelligent Systems (ISIS 2023). (Accepted,Waiting for publication)
Rahman, M.H., Al Monir, M.F., Shihab, R.H., Ahammed, F.I., Uddin, M.F., Hasan, M., Islam, R. and Alam, S.B., 2023, October. Synergistic Design and Analysis of a Multi-Tasking Robot Enabling Artificial Intelligence for Hazard Response. In 2023 23rd International Conference on Control, Automation and Systems (ICCAS) (pp. 1584-1591). IEEE.
