Over the last years 60 years, Signalling and Control of Intelligent Machines and Networks, are independently and separately, developed and applied, to provide design methodologies and solutions, to many problems, in diverse areas of engineering and science, such as, control systems, communication systems, system biology, economics, quantum control and information, etc.

Our current research focus includes simultaneous signalling and control, as a universal methodology,

• to design intelligent machines with simultaneous signalling and control capabilities, in current control and communication systems,

• to design intelligent decision strategies with simultaneous signalling and control, as a design methodology, in various areas of science, beyond engineering, and

• to develop decentralized cooperative and non-cooperative strategies with control and signalling capabilities, based on non-classical or asymmetric information sharing, for networks dynamical decision systems.

To address the above topics, we develop mathematical tools and design methodologies, and hierarchical decentralized optimization techniques and algorithms, suitable  for general dynamical models, that are used in many areas of engineering and science, with multiple inputs and outputs. Targeted application areas include Communication Systems, Control Systems,  Biological Systems, Economics and  Game Theory, and Quantum Control and Information.