due to project evaluation complexity and resource constraints, the project portfolio optimization is numerous decision making challenges. hence, many researches have been done to introduce model and methods for portfolio optimization. but most of them have not considered the interaction between projects. considering the interactions between projects increase complexity of portfolio optimization...

an integrative approach of data envelopment analysis (dea) and malmquist productivity indicator for performance analysis of projects in subsea r&d; center (srdc) is presented. it is noticeable that, an output based model with constant efficiency was used for data analysis. furthermore, since the dea approach is merely used for homogeneous units, it was assumed that all the projects according to...

My research interests concerns both theory and applications. The major research areas are currently in the elds of control and system identiication, and signal processing. The objective of this project is to study the problem of blind deconvolu-tion/equalization of a pulse amplitude modulated signal propagated over an unknown channel and perturbed by additive noise. Traditionally, a matched lte...

Here is a collection of research projects, ranging from number theory to probability to statistics to random graphs.... Much of the background material is summarized from [MT-B], though most standard number theory textbooks would have these facts. Each chapter begins with a brief synopsis of the types of problems and background material needed. For more information, see the handouts on-line at ...

This research introduces novel methods for proteomics image analysis and processing. The main challenges in such images are the inhomogeneity of the background, the complex regions containing overlapping spots as well as the dynamic range of proteins concentration resulting to saturated and faint spots. State-of-the-art software packages are dominant in proteome analysis. Nonetheless, they are ...

The aim of this project is to develop systematic and general design procedures that can be used to develop non-linear model predictive controllers based on linear-parameter varying (LPV) embeddings. Recently, we proposed a tube-based MPC scheme which can be used to control non-linear systems represented in terms of an LPV embedding. Based on artificially constructed state constraints, a sequenc...

Traditional numerical methods for polynomial root computation are fast but they sometimes return wrong results. Algorithms from computer algebra, on the other hand, guarantee correctness but tend to require long computing times. The computing time can, however, be dramatically reduced if exact arithmetic is carefully replaced by floating point arithmetic and if, moreover, ways are found to empl...