Read Noise-Driven Phenomena in Hysteretic Systems, Springer
The book provides a general approach to nonlinear systems with hysteresis driven by noisy inputs, which leads to a unitary framework for the analysis of various stochastic aspects of hysteresis. It includes integral, differential and algebraic models that are used to describe scalar and vector hysteretic nonlinearities originating from various areas of science and engineering. The universality of the approach is also reflected by the diversity of the models used to portray the input noise, from the classical Gaussian white noise to its impulsive forms, often encountered in economics and biological systems, and pink noise, ubiquitous in multi-stable electronic systems.
Research Graduate Assistantships
If you are a graduate student in the Department of Electrical and Computer Engineering and are interested in working on the modeling and simulation of batteries and supercapacitors please feel free to contact me. Research assistantships are often available for exceptional students. Please notice that in order to work with me you need to have good programing skills (C++, C#, Matlab, Python), have some knowledge of numerical analysis or machine learning, and have taken my modeling and simulation class.
Program for the simulation of nanoscale and power semiconductor devices, Li-ion and Li-air
cells, fuel cells, analysis of random doping and oxide roughness induced effects, redesign and optimization, and
solving inverse problems in semiconductor and energy storage devices.
Program for the simulation of
hysteresis phenomena in magnetic materials. It provides an
user-friendly interface in which phenomenological models of
hysteresis can be integrated. Among the hysteresis models implemented so
far are: the Energetic model, the Hodgdon model, the Jiles-Atherton
model, the Langevin model, the Preisach model (including discrete and analytical distributions), and Bouc-Wen, model.
Software for the computation of the anisotropy function and critical curve of thin films by using Vibrating Sample Magnetometer (VSM) measurements.
The Future Renewable Electric Energy Delivery and Management (FREEDM) Systems Center is an NSF-ERC that
aims at developing a revolutionary power grid based on power electronics, high bandwidth digital communication,
and distributed control. It is the "internet for energy" and its goal is to transform the power industry in a similar way
that the internet transformed the computer industry from the mainframe computer paradigm to the distributed computing we have today.
Please visit the FSU-FREEDM webpage or
the central website at NCSU for more information.