The research group Hierarchical Topologies deals with new concepts and methods for the
novel structural topologies.
Based on complex hierarchical structures, we use existing material-based effects for
intelligent systems with controllable and adjustable properties.
The functionality on system level is based on the complex interaction of
material-inherent and topology-inherent effects.
The work aims at: complex functions, such as actively controllable deformations as well as
function integration of advanced properties, e.g. magnetic permeability, electrical conductivity
or radiation transparency.
We are a group with expertise at:
If you are interested on our activities contact us!
Mr. Dr.-Ing. Angelos Filippatos is a group leader of the research group "Hierarchical Topologies -
Intelligent Systems with material-inherent functions" at the Dresden Center for Intelligent Materials
(DCIM) of the Technische Universität Dresden.
His scientific expertise is on the design and testing of multi-material structures under complex loading
conditions, with a special focus on new methods for their in-situ structural integrity assessment. The
main emphasis of his research is to synergize multi-material engineering, parametric simulations and
machine learning to discover and implement novel functionalities to anisotropic composite structures.
He studied at the National Technical University of Athens - School of Mechanical Engineering where he
graduated at 2010. At Dresden since 2011, Dr. Filippatos has developed a solid background regarding the
development and testing of intelligent structures and their architectural representation through a
systems engineering approach. As a result, he is currently committed with focus on the cross-level,
experimental-numerical investigation of the structure-property-process SPP relations of hierarchical
structures through data-driven methods.