Research AREAs

Welcome to the DRIS Laboratory

Mission: DRIS Lab's mission is to drive innovation through advanced data-driven research, focusing on the development of intelligent solutions that address critical challenges in various domains 

Research Topics

The research topics at DRIS Lab focus on data-driven decision-making and the development of intelligent solutions. These topics aim to address real-world challenges across various industries, applying advanced analytics and machine learning.

• Manufacturing and Quality Control: Our research aims to improve manufacturing efficiency and data quality through machine learning. We explore ontology-based approaches to detect inaccuracies in Bills of Materials and apply machine learning to manage environmental data quality.

• Healthcare and Safety: In this domain, we work on AI-based predictive models for high-risk maternal diseases and IoT-based smart monitoring systems to predict structural collapse in disaster-prone areas, enhancing healthcare and safety.

• Business and Market Analysis: We use machine learning to analyze market trends and enhance brand positioning, providing valuable insights for business optimization and competitiveness.

• Construction and Infrastructure Management: We develop AI-based predictive models for concrete strength, explore non-heated asphalt technology to reduce emissions and enable rapid curing, and create deep learning-based models to predict the rheological properties of building materials.

Research Method

• Machine Leaning and Deep Learning

• Ontology and Semantic Analysis

• Optimization

• Quality Control and Assurance