Smart Sensing & Monitoring: Research focuses on developing intelligent sensing systems capable of collecting and interpreting multi-source data from complex industrialenvironments. These include vision, acoustic, and thermal sensing technologies that support real-time monitoring and fault detection.
Digital Twin & Automation: This area explores digital twin modeling, data-driven control, and intelligent automation for manufacturing systems. By combining physical systems with virtual models, researchers aim to achieve predictive control, process optimization, and system transparency.
Autonomous Systems: Research in this domain focuses on AI-driven decision-making, adaptive control, and self-optimizing systems. The goal is to develop
autonomous agents that can learn from data, adapt to uncertainties, and optimize industrial processes dynamically.
2. Advanced Manufacturing
Additive Manufacturing: This field investigates advanced 3D printing technologies, covering metal, polymer, and composite printing, as well as process innovation such as multi-axis printing and in-situ monitoring. Research aims to enhance the precision, efficiency, and functionality of additively manufactured parts.
Precision Machining: Research explores high-precision and ultra-fine machining technologies for advanced materials and complex structures. Topics include hybrid manufacturing, micro-machining, and surface integrity enhancement.
Advanced Materials: This area focuses on material design, processing, and characterization for next-generation manufacturing applications. Research includes composite materials, functionally graded materials, and materials with enhanced mechanical or thermal properties.
3. Industrial Robotic
Robotic Perception: Research focuses on enabling robots to perceive and understand their environment through computer vision, sensor fusion, and
environment mapping. This enhances accuracy, adaptability, and safety in industrial operations.
Human–Robot Collaboration: This research area explores safe and efficient collaboration between humans and robots. Topics include compliant control, shared workspaces, adaptive behavior, and intelligent interaction, aiming to improve flexibility and productivity.
Motion Planning and Control: Work in this area involves path and trajectory planning, dynamic control, and optimization of robotic motion. It focuses on achieving precise, collision-free, and efficient operations in complex industrial tasks.
Research Direction
1. Industrial AI
autonomous agents that can learn from data, adapt to uncertainties, and optimize industrial processes dynamically.
2. Advanced Manufacturing
3. Industrial Robotic
environment mapping. This enhances accuracy, adaptability, and safety in industrial operations.