We cordially invite researchers and experts to submit abstracts for oral or poster presentations related to the conference topics. Submitted abstracts will undergo a peer-review process by the scientific committee.
The conference focuses on discussing specialized topics, including:
Topic 1: Advanced Materials and Green Manufacturing (AMGM)
- Advanced functional materials.
- Nanotechnology; bio-nanomaterials.
- 3D printing materials; CO2 storage and absorption materials.
- Energy conversion materials.
- Solid mechanics.
- Computational mechanics.
- Synthesis of materials from natural sources.
- Green synthesis and production; green chemistry.
Topic 2: Solutions and Technologies for Sustainable Development (STSD)
- Green extraction and technologies.
- Organic recycling.
- Green and Circular economy.
- Renewable energy.
- Sustainable agriculture and food biotechnology.
- Production of sustainable biological products.
- New materials and solutions for environmental pollution control.
- Technologies for air and wastewater pollution treatment.
Topic 3: Data Science and Artificial Intelligence for Sustainable Development (DSAI)
- Artificial intelligence for green and sustainable development purposes.
- Big data analytics with a focus on green and sustainable development.
- Applications of data science and artificial intelligence in smart city development.
- Data security and privacy in data mining and machine learning.
In addition to the above topics, related research areas will also be considered for presentation and publication through the conference.
ABSTRACT SUBMISSION:
- Deadline for abstract submission: 15 October, 2026
- Notification of abstract acceptance: 23 October, 2026
Requirements
200 - 250 word Abstract: Your abstract should be a brief summary of your work. If your abstract is accepted, it will be included in the final conference program. Style guides are provided in a Word *.docx format (
download here). The submission
MUST contain the following items in order to be published:
1. Completed title.
2. Completed list of all authors and their affiliations.
3. Category Selection: Please select the topic area that is appropriate for your work.