Emmanouil Alexis

This paper develops a light-controlled microbial consortium system to dynamically adjust population composition and boost chemical production.

This paper develops a control framework for chemical reaction networks to robustly track multiplicative combinations of species concentrations and validates it with simulations.

This study analyzes noise in biomolecular topologies that implement derivative-action signal differentiation, showing that noise amplification can be avoided.

This paper designs a PIDA control scheme as a chemical reaction network to improve dynamic performance and steady-state tracking in biochemical systems.

The paper introduces AC-BioSD, a biomolecular signal differentiator with improved performance in signal differentiation and noise attenuation.

This paper develops control strategies for two-output biomolecular networks to achieve robust regulation despite coupling interactions and disturbances.

This paper introduces a new feedback mechanism for synthetic biology, dichotomous feedback, which uses signal sequestration to improve robustness and reduce noise in biological systems.

This paper designs a tunable PID bio-controller with set point weighting and filtered derivative action for biomolecular process regulation, demonstrating its effectiveness through simulations.

This paper identifies biomolecular mechanisms for time derivative computation in cells and proposes synthetic differentiator designs based on natural regulatory networks.