SEEDS

Data-Driven Process Control

Researcher

Keyword

Process Systems EngineeringProcess ControlOptimizationMachine Learning

Contact

Research Overview

We develop systems and software that leverage process operation data to improve productivity, stabilize operations, enhance quality, and enable predictive maintenance.
These developments are based on process control, machine learning, and mathematical optimization.

Related Seeds

• Next-Generation Energy-Related Devices Based on Functionalized Nanocarbon Materials
• Research on the Design and Creation of Functional Nano-Hybrid Materials
• Methodologies and Practices for Realizing a Society with Minimized Exergy Consumption Rates
• Solution Plasma Technique: Interfacial and Reaction Dynamics
• Development of Materials and Evaluation System Technologies to Improve LIB Lifetime Performance, and Promotion of Social Implementation
• Aiming to Maximize the Functional Performance of Metals and Alloys