Biologically inspired computing is a path-breaking domain in natural computation and has the potential to re-define the way computing is viewed.. The methods could be as diverse as using computers to model nature, and simultaneously the study of nature to accelerate the usage of computers. Biologically inspired mechanisms have already proved successful in accomplishing major breakthroughs in a wide range of problems in various computing systems.

The Center for Basic Initiatives of Mathematical Modeling and Computation (CBIMMC) aims to have dedicated goals for academicians, researchers, scientists and practitioners working in theoretical, experimental or applied areas of bio-inspired computing to collaborate and foster new ideas.

The long-term goal of the Center is to evolve algorithms that would be useful in solving problems in specific areas of Computer Science, Cloud Computing, Mobile Ad-Hoc Networks, Pattern Prediction to name a few.

The specific topic areas of interest include, but are not limited to, the following:

- Ant Colony Optimization
- Artificial immune systems
- Artificial Life
- Autonomic/Organic Computing
- Bat Algorithm
- Bee Colony Optimization
- Chaos Theory
- Complex Systems
- DNA and Molecular Computing
- Differential Evolution
- Evolutionary Computing
- Fuzzy Computing
- Genetic Algorithms
- Genetic Programming
- Hybrid Systems
- Models of Social Insects
- Neural Networks
- Particle Swarm Optimization
- Quantum Computing
- Self-Organizing Systems
- Graph Theory

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