Intelligent sensing and energy Laboratory
Research Field
Since 2020, Dr. Kuncoro has been a faculty member at the Department of Refrigeration, Air Conditioning, and Energy Engineering of NCUT. He is an associate professor whose research interests include embedded systems, sensor integration, control and monitoring applications, bio-signal sensing, artificial intelligence, Internet of Things, wireless power, and energy harvesting.
Intelligent sensing and energy Laboratory research activities focus on the development of systems based on the intelligent sensor systems, AI, and IoT technology for indoor environment monitoring, building energy conservation systems, wearable systems, machine tool predictive maintenance, and applications for monitoring and control systems. We developed smart sensor nodes and a multi-IAQ sensor system for indoor multi-pollutant monitoring. The sensor node couples with an indoor energy harvester toward the autonomous sensor node.
- embedded systems,
- sensor integration,
- control and monitoring applications,
- bio-signal sensing,
- artificial intelligence,
- Internet of Things,
- wireless power,
- micro energy harvesting.
- Best Paper Award, The 4th International Conference on Applied Science and Technology (ICAST2021), 2021.
Dr. Kuncoro received his doctoral degree in precision manufacturing from the Graduate Institute of Precision Manufacturing, National Chin-Yi University of Technology (NCUT), Taiwan.
Job Description
The specific topic#1:
- AI and IoT-based IAQ prediction and analysis (hardware & firmware).
- AI and IoT-based Emission prediction and analysis (hardware & firmware).
Preferred Intern Educational Level
Undergraduate, Master, and Ph.D. students.
Skill sets or Qualities
The interns are familiar with some design tools and software to deploy system design in the prototyping framework, with specific skills such as:
- Design tools (hardware and firmware): Arduino IDE, LabVIEW, Website/Android application-based UI design, C, Java, Anaconda, Jupyter notebook, TensorFlow, TinyML, Python, Visual Studio, SolidWorks, AutoCAD, PCB design, 3D printing.
- Design system-based: Embedded system, IoT, and AI.
- Hardware and software design framework.
Job Description
The specific topic#2:
- AI and IoT-based Psychological Stress detection and analysis (hardware & firmware).
- AI and IoT-based Disease detection and analysis (hardware & firmware).
Preferred Intern Educational Level
Undergraduate, Master, and Ph.D. students.
Skill sets or Qualities
The interns are familiar with some design tools and software to deploy system design in the prototyping framework, with specific skills such as:
- Design tools (hardware and firmware): Arduino IDE, LabVIEW, Website/Android application-based design, C, Java, Anaconda, Jupyter notebook, TensorFlow, TinyML, Python, Visual Studio, SolidWorks, AutoCAD, PCB design, 3D printing.
- Design system-based: Embedded system, IoT, and AI.
- Hardware and software design framework.