Systems & Soft Computing Laboratory

Designing intelligence
for the real world.

Think in the Real World.Design Intelligent Systems.
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Begin in the field.
Return value to people and society.

We embrace the ambiguity and complexity of the real world and turn them into intelligent systems that make a practical difference.

We measure human movement, perception, and environmental change; understand what the data means; and design appropriate support. Technology is not the destination. Our research begins with the people and settings it is intended to serve.

01MeasureObserve the real world
02UnderstandInterpret what matters
03DesignCreate intelligent systems
04SupportDeliver practical value

One philosophy.
Four research fields.

Our projects evolve with real-world needs, while our commitment to designing intelligence from field evidence remains constant.

Research on skill measurement and coaching through guitar performance, tennis, and breakdancing
01

Supporting human learning

Human Coaching

We measure skills, perception, and behavior, then design feedback that supports improvement.

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Research on walking assistance using a chest-mounted smartphone and accessible display technology
02

Supporting everyday life

Human Assistance

We understand people and their surroundings to create assistive technologies that adapt to individual needs.

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Edge intelligence research using cameras, IMUs, environmental sensors, and FPGA processing
03

Intelligence where it is needed

Edge Intelligence

We implement fast, reliable AI within the limited computing resources available at the edge.

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Smart infrastructure research in agricultural IoT and condition monitoring of electrical facilities
04

Supporting essential systems

Smart Infrastructure

We use sensing and intelligence to improve the sustainability of agriculture and regional infrastructure.

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Research themes
and projects.

We connect data from real-world settings to intelligence that can support people and society, often across disciplinary boundaries.

View publications on researchmap↗
01
Research field

Human Coaching

From measuring movement, sound, and action to understanding skills and supporting improvement.

  • Tennis motion measurement and feedback
  • Audio and skill analysis for guitar performance
  • Motion understanding and coaching support for breakdancing
02
Research field

Human Assistance

Creating assistance that adapts to individual physical characteristics and real usage environments.

  • Walking assistance using a chest-mounted smartphone
  • Sensing and understanding pedestrian environments
  • Display technologies that improve visual accessibility
03
Research field

Edge Intelligence

Processing images, motion, and environmental data quickly with computing resources available in the field.

  • Low-latency AI processing on FPGAs
  • Image sensing with ESP32-CAM
  • Integration of IMUs, environmental sensors, and embedded devices
04
Research field

Smart Infrastructure

Continuously observing distributed infrastructure and detecting early signs of change.

  • Agricultural IoT for cultivation environment monitoring
  • Remote monitoring with IoT cameras
  • Condition monitoring and fault diagnosis for electrical facilities

From a real question
to a system that works.

01

Observe

Study the field and identify the question that truly needs to be answered.

02

Build

Combine sensing, AI, data analysis, and system implementation.

03

Validate

Test in realistic settings and refine the system through evidence and dialogue.

04

Communicate

Share the meaning and value of the research across disciplines and borders.

Different perspectives create
better intelligence.

ResearchersWe welcome conversations about complementary expertise, joint research questions, and academic exchange.

International studentsWe welcome graduate applicants interested in sensing, AI, human support, embedded systems, and field-oriented research.

Companies & organizationsWe are open to discussing real-world technical challenges and possibilities for research collaboration.

Bring your perspective.
Shape intelligence
with us.

SSC Lab welcomes inquiries from international students who want to design intelligent systems for people, society, and real-world environments.

Before contacting us

Please include the following:

BackgroundYour degree, university, and relevant coursework or experience.

Research interestThe SSC Lab field or problem that interests you.

Preferred programThe degree program and approximate enrollment period you are considering.

Supporting materialYour CV and, if available, a brief research idea or portfolio.

Admissions & funding

Degree eligibility, application schedules, scholarships, and required documents are determined by the university. Please confirm the latest information in the official guidelines. Contacting the lab does not replace the formal application process.

Contact SSC Lab↗

Let's explore what
intelligence can become.

For academic collaboration, graduate study, or research discussions with companies and organizations, please contact us by email.

kawano@ecs.kyutech.ac.jp↗
LaboratorySystems & Soft Computing Laboratory (SSC Lab)Kyushu Institute of Technology
Faculty member
Professor Hideaki Kawano
Undergraduate program
Through AY2025Electronic System Engineering Course, Department of Electrical and Electronic Engineering, Faculty of Engineering
From AY2026Electronics Course, Electrical Engineering Program, Department of Engineering, Faculty of Engineering
Graduate program
Electronic System Engineering Course, Department of Engineering, Graduate School of Engineering
Address
1-1 Sensui-cho, Tobata-ku, Kitakyushu, Fukuoka 804-8550, Japan
Tobata Campus