The AI in Energy & HPC research team is a center of excellence in managing, analyzing, and processing high-performance computing. In the era of information explosion, data is the most valuable asset that requires robust infrastructure to be processed into actionable insights.
We focus on designing Data Architectures, parallel processing through High-Performance Computing (HPC), and applying large-scale Machine Learning algorithms (*Big Data*) to extract patterns, predict trends, and support accurate decision-making across various sectors.
Data Mining and predictive analysis on massive datasets that cannot be handled by conventional computing architectures.
Algorithm optimization and parallel processing (GPU/CPU Clusters) to accelerate computing time for training Deep Learning models.
Building data flow ecosystems (ETL/ELT), transforming raw data sources (OLTP) into analysis-ready Data Warehouses (OLAP).
NIDN: 0606068802
Research Coordinator
Expert in Big Data analysis, Natural Language Processing (NLP), and high-performance computing architecture.
NIDN: 0618038701
Researcher