Projects
Project 3
Project 2
Project 1
Modeling and Control of Proton Exchange Membrane Fuel Cells (PEMFCs)
Description: Development of a mathematical modeling that contributes on solving problems related to the control of the fuel cell internal physical phenomena. The modeling focuses in particular, on the water transport phenomena inside the cell components to establish an appropriate control, improving the electrical efficiency.
Main contributor(s): Ahmad Haddad
Eventual collaboration / Grants associated: Collaboration with the Indian Institute of Technology (Department of Electrical Engineering, Mumbai, INDIA)
Contact Name and Information: ahmad.haddad@liu.edu.lb
Testing PEM fuel cell models using 1 W fuel cell
Main contributor(s): Ahmad Haddad
Eventual collaboration / Grants associated: Collaboration with the Indian Institute of Technology (Department of Electrical Engineering, Mumbai, INDIA)
Contact Name and Information: ahmad.haddad@liu.edu.lb
Energy efficiency in household electrical consumption
Description: Improving energy efficiency by monitoring household electrical consumption is of significant importance with the climate change concerns of the present time. A solution for the electrical consumption management problem is the use of a non-intrusive appliance load monitoring (NIALM) system. This system captures the signals from the aggregate consumption, extracts the features from these signals and classifies the extracted features in order to identify the switched on appliances.
Project 4
Main contributor(s): Khaled Chahine
Eventual collaboration / Grants associated: Collaboration with IFSTTAR, University of Nantes, Paris-Sud University
Contact Name and Information: khaled.chahine@liu.edu.lb
Active remote sensing techniques
Description: Ground penetrating radar is an example of active remote sensing techniques which provide access to subsurface information that can be analyzed mainly for identification, control or characterization purposes. For such techniques, if the probed medium is lossless, the received signal model consists of delayed and scaled replicas of the transmitted signal giving rise to the well-known undamped exponential model. However, if the medium is lossy and dispersive, the arising signal model can no more be assimilated to the aforementioned model as it introduces additional parameters to account for dispersion and absorption. In general, dispersion is defined as the variation of the phase velocity as a function of frequency, i.e. each frequency has its own velocity. Absorption, on the other hand, is characterized by a low-pass filtering effect of the medium of propagation. In the time domain, dispersion and absorption manifest themselves in the distortion and broadening of the radar wavelet. As a consequence, they give rise to the following two adverse effects at the level of signal processing: (1) the failure of the stationarity assumption of the radar wavelet (2) and the degradation of the temporal resolution. The topic of this research deals with improving the performance of electromagnetic testing techniques operating in the radio frequency range by signal processing.
S-transform time-frequency representation of a ground penetrating radar trace.
Estimation of the medium quality factor Q using the centroid frequency shift method.
Main contributor(s): Khaled Chahine
Eventual collaboration / Grants associated: Collaboration with IFSTTAR, University of Nantes, Paris-Sud Univ.
Contact Name and Information: khaled.chahine@liu.edu.lb