Research Areas
This page is seldom updated.
My research is in the general area of
nonlinear dynamical systems. Some keywords are:
ordinary and delay differential equations, nonlinear dynamics,
stability and bifurcations, control theory, delayed feedback systems,
coupled oscillators, neural networks, mathematical biology,
nonlinear time series analysis, mathematical modelling.
You can get a more detailed idea by perusing my list of
publications,
where you can also download some preprints.
Recent highlights
Can complex systems act in synchrony when each one has the knowledge
of only some of the others,
and that only after a time delay?
See
Phys. Rev. Lett., 92(14):144101, 2004
and
arXiv:nlin.AO/0312026.
These results
have also been highlighted on the website of the Max Planck Foundation. Click
here
to read (in German).
Industrial Applications
Since the date of its founding, I have been a senior research scientist
as well as a shareholder at
Artesis A.S.,
a private research company which
develops original technologies in the area of model-based fault
detection and condition monitoring. Artesis is a subsidiary of
Arcelik A.S.,
a major European manufacturer of domestic appliances.
My responsibilities at Artesis consist of
conducting and supervising major research activities,
including the modelling and analysis of nonlinear electro-mechanical systems,
development of mathematical methods for system identification and fault detection,
as well as numerical algorithms for parameter estimation,
signal processing, and optimization,
and implementing into high-tech industrial products.
Among the technologies developed and patented by our research
team at Artesis is the Motor Quality Monitor (MQM), which is
a fault detection and quality assurance system for
electrical motors. In 1999 MQM received the
TUBITAK-TTGV-TUSIAD Technology Grand Prize, the most
prestigious national technology award. Another product is the
Motor Condition Monitor (MCM) for continuous monitoring of
mission-critical electrical equipment and early warning of
imminent failures. MCM was a finalist in the competition for the
Technology Grand Prize in 2000. MCM also received
Control Engineering magazine's Annual
Editors' Choice Award in technological advancement (2000).