Pioneering Data Science & Mathematical Intelligence
At ReDA Lab, we bridge theoretical mathematics and applied computational intelligence to develop scalable data-driven solutions for industry, society, and academia across Cambodia.
Our Mission & Vision
To advance knowledge in applied mathematics, statistical sciences, and data analytics while training Cambodia's next generation of computational leaders.
At ReDA Lab, we combine mathematical foundations with cutting-edge computational methods to address pressing socio-economic, environmental, and industrial challenges. We support academic training across ITC's Bachelor of Engineering in Data Science and Master of Engineering in Data Science (M-DAS) programs, fostering an ecosystem of high-impact research.
Rooted in Academic Excellence at ITC,
The Research and Data Analytics Lab (ReDA Lab) is housed within the Department of Applied Mathematics and Statistics (AMS) at the Institute of Technology of Cambodia (ITC) in Phnom Penh. Our interdisciplinary team brings together mathematicians, data engineers, machine learning specialists, and graduate researchers.
Our research spans foundational mathematical modeling to applied data science for environmental sensing, healthcare analytics, financial engineering, and educational data mining. We actively collaborate with international universities, development agencies, and national ministries.
Core Research Research Areas
Data Science & Machine Learning
Deep learning architectures, predictive modeling, NLP for Khmer language, and computer vision applied to engineering and societal challenges.
Applied Mathematics & Scientific Computing
Differential equations, dynamical systems, numerical analysis, and mathematical simulations for physics, engineering, and biology.
Statistical Modeling & Biostatistics
Time series forecasting, stochastic processes, risk modeling, and statistical inference for health, environment, and education.
Operations Research & Optimization
Mathematical programming, combinatorial optimization, resource allocation, and logistics scheduling for industry and public services.
Mathematics & Statistics Education
Learning analytics, assessment research, and evidence-based teaching to improve how mathematics, statistics, and data science are taught and learned.
Financial Engineering & Actuarial Modeling
Quantitative finance, stochastic calculus, actuarial risk analysis, and econometric modeling for banking, insurance, and fintech.
Work with us
Partner on a research project, collaborate on data analytics, or join our research team at ITC. We answer every message.