I started a new lab at Tokyo City University this year which is called Ubiquitous Intelligent System Lab. We focus on the design, development, and evaluation of the intelligent system to solve the human being problem through the aid of embedded systems, portable sensors, wireless networks, cloud computing, and artificial intelligence. The research is conducted in the following area:
- Data analysis using machine learning and deep learning algorithm.
- The development of artificial intelligence solutions on edge computing devices to support real-time and low-cost data analysis.
- The development of applications or services to provide feedback on data analysis to the user.
The research can be applied to smart healthcare systems to promote health awareness among society and various internet-of-things (IoT) applications for smart cities.
Previous Research
Previously, I have been doing research on smart IoT systems for smart health monitoring, smart agriculture, and smart home/office. Smart IoT means the IoT systems that are equipped with artificial intelligence (AI) capability. The AI capability can quickly provide more insight into the collected data that helps the subject matter expert to diagnose the problem and make a decision to solve the problem. The AI capability can also be used for system automation.
In healthcare systems, We have been working on an intelligent IoT system for sleep monitoring https://doi.org/10.1109/ACCESS.2022.3167637. In this system, one of our proposals is the combination of a weighted extreme learning machine (W-ELM) and particle swarm optimization (PSO). It is used to identify the sleep stage of the patients from the recorded electrocardiogram (ECG) signal. The sleep stage information is then utilized for sleep quality assessment. With this system, the patient that wears the sensor can acquire information about his sleep quality every day from his mobile phone. This information can also be used by sleep clinic doctors to diagnose the sleep problem of the patients. In this work, we also proposed the IoT cloud platform based on microservices and event-driven architecture that can achieve high performance while reducing memory consumption.
If you are interested to check my previous research, Please check my research project page on this website.
You can also check my previous selected publication on this publication page.
Current Research
Currently, we are conducting research on the following topics:
- Monitoring and detection of human health using wearable or portable sensors and machine/deep learning
- Smart home energy management using IOT and machine/deep learning
- Big data and machine learning for predictive maintenance
- Hardware accelerator design for machine/deep learning
I would like to welcome any prospective graduate students (Master’s or Ph.D. students) to learn and work together in the Ubiquitous Intelligent System Lab.
Related Information
For more information, please check the website of the Ubiquitous Intelligent System Lab.
Please also check the website of Tokyo City University to check the available scholarship.