The conference will include sessions on the following broad themes, as observed from the program schedule:

• Cross cutting applications in computational sciences

Subthemes: A shift in the perception of crime investigation and prevention ranging from security to resilience, Computational biology as a driver of health sciences, Computational chemistry in global health care, and Wearable sensors for on-site forensic evidence collection.

• Computational biology for sustainable agriculture & forensic sciences

Subthemes: Applications of artificial intelligence in DNA profiling; the role of synthetic biology in regulating plant metabolites; advanced deep learning methods for automated signature verification; development of novel tools for plant genomics; computational approaches for estimating the age of bloodstains; and establishing metadata standards for agricultural microbiome research.

• Sustainable food systems and technological interventions

Subthemes:Smart and Sustainable Food Systems: integrating technological innovations for resilient and future-ready nutrition

Computational biology in drug designing and diagnostics 

Subthemes: Computational approaches to drug discovery; molecular modeling and simulation methodologies for drug design; application of molecular dynamics simulations in biosensor development and nanotoxicity analysis; and cheminformatics strategies for chemical risk assessment.

• AI and algorithms in biological sciences

Subthemes: Revolution in Neural Networks for Sustainable Development (SPOCU), One-Health approaches, Microscopic insights on biomolecular interactions, Machine learning-based design of pincer catalysts, and AI in pharmaceuticals.

• Food, health and artificial intelligence: the paradigm shift

Subthemes: Food, Health, and Artificial Intelligence: Assessing Necessity and Impact.