Research & Development
- Research & Development
UIT R&D's collaborative approach focuses on understanding
your business to deliver a personalized solution
Introducing a new direction
for our business operations.
Global technology market
trends analysis.
Research and Development and engineering
services through the latest technology.
Technical support for problem solving and analysis in the fields of machinery, chemical engineering, safety, and CFD, in order to provide guidance for interpretation and direction of solutions.
Overall project management in engineering fields such as mechanical, marine, chemical, and safety. Currently focusing on projects related to marine and safety.
Using the UIT software, we perform analysis tasks in the fields of mechanical engineering, chemical engineering, and safety, including thermal-fluid analysis, structural analysis, fire and explosion analysis, etc.
Engineering theory education Training on some of the software that UIT possesses
Development has been carried out to suit user requirements,
and continuous development is taking place not limited to
one field, but across a variety of industrial sectors.
Conducting software development research in multiple government R&D projects
Development and enhancement of a 3D engine utilizing GIS data
Performing services for mesh processing, solid modeling, and software simulation
Development of a digital twin system utilizing AI/ML technologies for digitalization in the manufacturing industry
Conducting research and development for the construction of virtual spaces for plants and factories using AR/VR technology
Development of a web-based, multi-site remote monitoring system without location limitations
Precisely model the operation of robotic systems and establish an environment for simulation performance prediction and data enhancement through digital twinning.
Upgrade and consolidate existing assets, speed up simulation analysis, optimize logic, and transform architectural frameworks to increase efficiency
Developing a framework for the automation of model development, training, deployment, and maintenance using time-series data.
Communicate, transmit, and integrate various software components through APIs, facilitating data visualization.