ReDALABDepartment of Applied Mathematic and Statistics
ReDA Lab operates under the Department of Applied Mathematics and Statistics at ITC, advancing foundational research, machine learning algorithms, and real-world analytical systems for Cambodia and the region.
Explore Our ResearchSmart research for the
fields of tomorrow
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.
From the field to peer review
Fresh from the field
News, research updates, practical guides, and stories from the farms and labs we work in.
Moments from our work
Documentation from research conferences, seminars, laboratory experiments, and collaborative workshops across the ReDA Lab program.
Voice from the Department
Bycombiningmathematicalrigorwithmachinelearningpipelines,ReDALabempowersourresearchers,students,andpartnerstotransformrawmultidimensionaldataintohigh-impactinsights.
From mathematical theory to practical deployment
Problem Formulation & Mathematical Modeling
Translating engineering, biological, and societal challenges into well-posed mathematical equations, dynamical systems, and optimization formulations.
Data Acquisition & IoT Telemetry
Aggregating multi-source sensor feeds, institutional databases, satellite imagery, and environmental measurements into robust data pipelines.
Statistical Analysis & Inference
Applying probabilistic modeling, stochastic analysis, hypothesis testing, and multivariate techniques to discover underlying patterns.
Machine Learning & AI Architecture
Designing deep neural networks, computer vision models, and natural language processing tailored for local and regional domains.
Verification & Peer-Reviewed Benchmarking
Rigorous experimental validation, reproducibility testing, and academic benchmarking published in international peer-reviewed journals.
Decision Support & Real-World Impact
Deploying interactive dashboards, open-source analytical packages, and decision systems for partners, researchers, and policymakers.
In collaboration with leading partners
Ready to collaborate with ReDA Lab & AMS ITC?
Whether you are a student aspiring to pursue data science, an industry partner seeking analytical solutions, or an academic researcher looking to collaborate, our doors are open.