All Outputs (4)

Logical circuits in colloids (2024)
Journal Article
Roberts, N., Raeisi Kheirabadi, N., Tsompanas, M., Chiolerio, A., Crepaldi, M., & Adamatzky, A. (in press). Logical circuits in colloids. Royal Society Open Science, 11(5), Article 231939. https://doi.org/10.1098/rsos.231939

Colloid-based computing devices offer remarkable fault tolerance and adaptability to varying environmental conditions due to their amorphous structure. An intriguing observation is that a colloidal suspension of ZnO nanoparticles in dimethylsulfoxide... Read More about Logical circuits in colloids.

Vulnerability detection through machine learning-based fuzzing: A systematic review (2024)
Journal Article
Chafjiri, S. B., Legg, P., Hong, J., & Tsompanas, M. (2024). Vulnerability detection through machine learning-based fuzzing: A systematic review. Computers and Security, 143, Article 103903. https://doi.org/10.1016/j.cose.2024.103903

Modern software and networks underpin our digital society, yet the rapid growth of vulnerabilities that are uncovered within these threaten our cyber security posture. Addressing these issues at scale requires automated proactive approaches that can... Read More about Vulnerability detection through machine learning-based fuzzing: A systematic review.

Outline of an evolutionary morphology generator towards the modular design of a biohybrid catheter (2024)
Journal Article
Tsompanas, M. A., & Balaz, I. (2024). Outline of an evolutionary morphology generator towards the modular design of a biohybrid catheter. Frontiers in Robotics and AI, 11, Article 1337722. https://doi.org/10.3389/frobt.2024.1337722

Biohybrid machines (BHMs) are an amalgam of actuators composed of living cells with synthetic materials. They are engineered in order to improve autonomy, adaptability and energy efficiency beyond what conventional robots can offer. However, designin... Read More about Outline of an evolutionary morphology generator towards the modular design of a biohybrid catheter.

Incremental growth on Compositional Pattern Producing Networks based optimization of biohybrid actuators (2024)
Conference Proceeding
Tsompanas, M. A. (2024). Incremental growth on Compositional Pattern Producing Networks based optimization of biohybrid actuators. In Applications of Evolutionary Computation (275-289). https://doi.org/10.1007/978-3-031-56855-8_17

One of the training methods of Artificial Neural Networks is Neuroevolution (NE) or the application of Evolutionary Optimization on the architecture and weights of networks to fit the target behaviour. In order to provide competitive results, three k... Read More about Incremental growth on Compositional Pattern Producing Networks based optimization of biohybrid actuators.