ICAST 2026 calls for papers in the following fields:
- Material science, Nanotechnology, Nanoscience, Plasma, Plasma medicine and Biology.
This scope covers scientific studies related to innovations in healthcare, energy, and sustainable technologies. Material science develops functional materials with tailored properties, while nanoscience and nanotechnology investigate and engineer matter at the nanoscale. Plasma science explores ionized gases with unique physicochemical characteristics, and plasma medicine applies non-thermal plasma for sterilization, wound healing, and cancer therapy. Biology provides the fundamental understanding of living systems, enabling these technologies to address complex biomedical and environmental challenges. - Microbiology, Biochemistry, Genomics, Bioinformatics and Computational Biology.
This scope focuses on the understanding of living systems from molecules to microorganisms and entire genomes. Microbiology investigates microbial diversity and functions, biochemistry examines the chemical processes underlying life, genomics explores genome structure and function, bioinformatics develops computational tools to analyze biological data, and computational biology integrates mathematical modeling and data-driven approaches to reveal complex biological mechanisms. Together, these fields accelerate discoveries in biotechnology, precision medicine, agriculture, environmental science, and infectious disease research. - Biostatistics, Spatio-temporal stochastic process.
This scope covers scientific studies related to biostatistics and spatio-temporal stochastic processes, which are complementary disciplines that provide quantitative frameworks for analyzing biological, environmental, and public health data that vary across both space and time. Biostatistics applies statistical methods to design studies, evaluate uncertainty, and draw reliable inferences from complex datasets, while spatio-temporal stochastic processes model dynamic phenomena influenced by randomness, geographic location, and temporal change. Together, these fields support disease surveillance, ecological monitoring, environmental risk assessment, precision medicine, and evidence-based decision-making through predictive modeling and data-driven analysis. - Artificial Intelligence, Machine Learning, Data Science, Software Engineering, Teaching & Learning.
This scope focuses on artificial intelligence, machine learning, data science, software engineering, and teaching and learning, which are interconnected disciplines that drive innovation in digital technologies and education. Artificial intelligence and machine learning enable intelligent systems capable of learning from data and supporting automated decision-making, while data science transforms complex datasets into actionable insights through statistical and computational techniques. Software engineering ensures the systematic design, development, and maintenance of reliable applications, and modern teaching and learning integrate these technologies to enhance personalized education, digital literacy, educational analytics, and lifelong learning in academic and professional environments.
Schedule
| EVENT ICAST | DATE CONFERENCE |
|---|---|
| Registration & Abstract Submission | June 1st – August 31st, 2026 |
| Early Bird Registration | July 31st, 2026 |
| Abstract Acceptance Notification | August 1st – 31st 2026 |
| Conference | October 16th – 17th, 2026 |
| Full Paper Submission | November 14th, 2026 |