Advanced research in data science & mathematics

Six interdisciplinary research thrusts combining mathematical rigor, computational intelligence, and practical data analytics at ITC.

Data Science & Machine Learning

Deep learning architectures, predictive modeling, NLP for Khmer language, and computer vision applied to engineering and societal challenges.

Differential equations, dynamical systems, numerical analysis, and mathematical simulations for physics, engineering, and biology.

Time series forecasting, stochastic processes, risk modeling, and statistical inference for health, environment, and education.

Mathematical programming, combinatorial optimization, resource allocation, and logistics scheduling for industry and public services.

Learning analytics, assessment research, and evidence-based teaching to improve how mathematics, statistics, and data science are taught and learned.

Quantitative finance, stochastic calculus, actuarial risk analysis, and econometric modeling for banking, insurance, and fintech.

Inspect the algorithms, mathematical frameworks, computing platforms, and software stacks that power ReDA Lab research at ITC.

Cross-Domain Academic Output

No active student theses linked directly yet.

G. Kluth, J.-F. Ripoll, S. Has, A. Fischer, M. Mougeot, E. Camporeale

Collect & Aggregate

Sensors, IoT devices, telemetry streams, and institutional data pipelines capture raw data points with high temporal resolution.

Model & Analyze

Mathematical formulations, statistical algorithms, and deep neural networks discover patterns and extract actionable signals.

Deploy & Impact

Interactive dashboards, decision systems, and open research packages provide insights that solve real-world problems.