Projects

Artificial Intelligence R&D Center focuses on developing AI systems to solve various real-world problems. Currently, we cover several projects as follows:

• Accelerating Ancestry Estimation of Genomic Studies in Indonesia Using GPUs
• Accelerating Genome-Wide Analysis of Colorectal Cancer Using GPUs
• A Bayesian Hierarchical Mixed Model for Identifying Significant Polygenic Effects while Controlling for Confounding and Repeated Measures
• Automatic Breast Cancer Detection using Deep Learning
• Object Counting System using Deep Learning
• Pineapple counting from aerial image
• Appearance Based Object Detection and Recognition in Uncontrolled Environment
  Land Use Change Analysis and Prediction in Bodetabek Area using Remote Sensing and GIS
• Hand Gesture Sign Language Recognition System Using Deep Learning Approach
• Smart Health Monitoring Using Internet-of-Things
• Diabetes Tool for Nutrients Estimation Based on Deep Learning and Computer Vision
• Deep Learning for Social Engineering Behavioral for Cyber Security
• Algorithm Development, Interpreting Deep Learning Structures, Deep Knowledge Extraction, and Its Novel Applications in Various Domains
• Virtual Reality Using GPU
• Applied Deep Learning involving Generative Adversarial Networks (GAN), Neural Turing Machine (NTM), Deep Convolutional Neural Networks using image/audio/text dataset and geospatial imagery dataset
• Deep Learning for Imbalance Data Classification Using Frozen Class Expert Generative Adversarial Network
• Applied Deep Learning for low-power computing devices
• Food image recognition with convolutional neural network
• Satellite imagery classification using deep learning