English

Dr. Chen (Human Science)
President of Chen Lab

Professor at Daiichi Institute of Technology,
Invited researcher at Advanced Research Center for Human Sciences, Waseda University

Research Interests

Dr. Chen holds a bachelor’s degree in Electrical/Electronic Engineering (EE), a master’s degree in Information Systems (IS), and a Ph.D. in Human Informatics. The main research object is the intersection of new digital media and humanities.

Dr. Chen has been working on human-centric personal data models. The main research projects include the virtual library of the University of Telecommunications, the network library of the National Astronomical Observatory of the University of Tokyo, the UPS: Ubiquitous Personal Study of Waseda University and other personalized environments in learning support systems. Currently, we are actively the research adopts a decentralized personal cloud data model (UPOD: Ubiquitous Personal Online Data Store), for a cloud health information service for face recognition and AI non-contact body temperature measurement.

These studies use real-world data collection powered by IS and EE technologies, as well as cloud storage, AI analytics, and CPS mechanisms that provide feedback to the real world. In addition, we are also working hard on gateways that enable mutual data communication between smart home devices, Donkeycar’s autonomous driving simulator, elderly life support IoT services, ubiquitous/personal storage, smart homes, autonomous driving information systems, and other services covering these Smart city applications. In these studies, we are also exploring the ideal shape of the computer of the future.

UPS: Ubiquitous Personal Study

Advocate for an ideal personal space that brings together information, user behavior, and activities involving cyberspace and the real world into Ubiquitous Personal Learning (UPS). And create an environment where users model and support accessing, managing, organizing, sharing, and recommending information anytime, anywhere. The UPS is a distributed node. UPS can connect freely through the network, forming a new distributed social network.

UPOD: Ubiquitous Personal Online Data Store

In recent years, with the EE technology, we have also integrated research into IoT technology, evolving from a ubiquitous cloud service model based on the fusion of information and electronics to a computer architecture called “cyber-physical system“. We advocate UPOD: Ubiquitous Personal Online Data Store, which stores a large amount of data generated in the real world in UPOD in cyberspace to build a digital twin. This makes it possible to apply artificial intelligence such as human state estimation. In addition, state estimation is fed back to the real world, with a focus on pioneering applications in Active Learning and Ubiquitous Health Care.

Brief Biography

Dr. Hong Chen is a Researcher. His primary research interests are in web service, databases, distributed systems, special to Social Networking Service, Content Manager System, Document Feature Retrieve, Computer Music. Build Digital Library and cross site community system. He is active in the research community, is an ACM, DBSJ member.

Hong also was working as Software Architect and Programmer/Analyst experiences in both Windows and UNIX, Internet and Intranet system development and operation environments. Special in Asia Multi-byte Service include CMS Web service, JNLP (Japanese Natural Langrage Process), Search Engine, Semantic Web.

Now Dr. Chen work on Distributed SNS, e-Learning and Social Learning.

Honors & Awards