I study how to make massive datasets interpretable in real-time. As a researcher at the DREAM Lab, advised by Dr. Alexandra Meliou, I develop Perception-Aware Sampling algorithms that bridge statistical learning theory with visual analytics.
Previously, I was a Research Scientist at TigerIT and a Lecturer at the University of Dhaka. I am interested in Data Mining, Database Theory, and building scalable systems.
For a full list, please visit my Google Scholar.
IEEE Access, 2024
R. A. Rizvee, R. Hassan, M. M. Khan
Applied Intelligence, 2025
R. A. Rizvee, C. F. Ahmed, C. K. Leung
Array, 2025
R. A. Rizvee, et al.
Journal of Agriculture and Food Research, 2023
R. A. Rizvee, et al.
IEEE GLOBECOM, 2023
F. H. Bappy, ... R. A. Rizvee, et al.
PAKDD (Pacific-Asia Conference on Knowledge Discovery and Data Mining), 2020
R. A. Rizvee, M. F. Arefin, C. F. Ahmed
IEEE Region 10 Symposium (TENSYMP), 2020
M. Wahed, R. A. Rizvee, et al.
DREAM Lab, UMass Amherst | 2025 - Present
Developing perception-aware sampling algorithms for big data visualization.
University of Dhaka | 2023 - (On Leave)
Taught Software Design Patterns, OOP, and Software Engineering.
East West University | 2022 - 2023
Taught Algorithms, Artificial Intelligence & Structured Programming.
TigerIT Bangladesh Ltd | 2020 - 2022
Worked on biometric systems, neural network architectures, and large-scale rule-based systems.