Registration & Poster Submission
Join us at IJSSTE Hokkaido Symposium 2025 - Registration and poster submissions now open
Registration Information
Secure your spot at this premier research symposium. All registrations include:
Access to all symposium sessions
Networking opportunities with leading researchers
Symposium materials and proceedings
Lunch and coffee breaks
Certificate of attendance
Access to poster session
Important Dates
Symposium Date: January 23rd (Friday), 2026
Time: 9:00-18:00
Venue: ICReDD Hall, Hokkaido University
Registration Fees
Students: 1,500 yen
Postdoc: 3,000 yen
Faculty: 5,000 yen
Registration & Poster Submission
📅 Registration Deadline: December 24th, 2025
Select the option to register with or without a Google/Gmail account
Poster Submission Guidelines
Format & Size
- Size: A0 portrait (841 × 1189 mm)
- Resolution: Minimum 300 DPI
- Format: PDF or high-quality print
Content Requirements
- Clear, readable fonts (minimum 24pt for body text)
- Title should be visible from 2 meters away
- Include author names and affiliations
- Abstract, methodology, results, and conclusions
- References in standard academic format
Submission Process
Complete guidelines and submission requirements are provided in the registration form.
Poster Categories
Artificial Intelligence
Machine learning, deep learning, neural networks, and AI applications
Biotechnology
Genetic engineering, biomedical research, and pharmaceutical innovations
Environmental Science
Climate research, sustainability, and environmental policy studies
Energy & Materials
Renewable energy, battery technology, and advanced materials
Medical Research
Clinical trials, drug development, and healthcare innovations
Data Science
Big data analytics, statistical methods, and computational research
Symposium Information
Focus Areas
- Chemical reaction design and discovery
- AI and machine learning in chemistry/materials
- Computational chemistry and cheminformatics
- Biomaterials and molecular design
Who Should Attend
- Materials scientists and engineers
- AI/ML researchers in materials domain
- Graduate students and postdocs
- Industry professionals in materials innovation