Centre for Advanced Machine Learning & Applications (CAMLAs)
About
Our LAB is dedicated to machine learning for real-life problems. Our research focuses on developing computer vision, image processing, and bioinformatics models from big data by developing machine learning, statistical methods, and algorithms. Our aims are twofold: to contribute to the modeling process's automation and make discoveries in real life. Our researchers and students pursue studies of, among others, video data, medical image data, transcriptome data, mutation and DNA modification data, metabolomics, screening, and clinical data in cancer and viral diseases.
The lab collaborates worldwide with researchers in machine learning, computer vision, medical image processing, bioinformatics, and computational biology. We participate in a highly interdisciplinary project on complex diseases and have established collaboration with China, USA, Australia, UK, and Bangladesh.
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Scientific Computing
Scientific Computing provides an introduction to the application of computers to scientific inquiry, focusing on theory and practice in simulation, modeling, and visualization approaches used across scientific disciplines.
Bioinformatics
Bioinformatics surveys the effective implementation and application of computer science algorithms towards biological problems. Students will learn to perform mathematical modeling, computation, data-anaylis, structure prediction, and dynamic simulations.
Machine Learning
Machine Learning covers probabilistic techniques used to uncover patterns to predict future data or other outcomes. These concepts have vast applications in bioinformatics, computer vision, robotics, and business intelligence.