Ines Domingues graduated in Applied Mathematics in the School of Sciences at the University of Porto in 2004 and finished the Master in Electrical and Telecommunications Engineering at Aveiro University in 2008. She is currently a PhD student in Electrical and Computer Engineering in the School of Engineering at the University of Porto. Her main research interests are medical image processing and machine learning.
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I'm familiar with C#.NET, Java, C/C++, and PHP programming. Specialized in developing intelligent system with Computer Vision and Machine Learning. Experienced in desktop application, website development, Relational Database Design and Application (MsSQL & MySQL), SAP BW, SAP BO, SAP ECC MM Module Solid experiences in managing & troubleshooting Windows XP, Windows Server 2003, Windows Server 2008 and Windows 7 as System Administrator
I've studied Computer Networks and Communications together with Artificial Intelligence/Natural Language Processing for 4 years at Masaryk University in the Czech Republic. I have experience in Server Administration for various linux distribution (mainly CentOS and Arch Linux), Plesk Panel, Linux/UNIX scripting, Raspberry PI, C, C++, Java, Prolog, Perl, PHP, MySQL, jQuery, HTML, XML, LaTeX, ..., and in English-Czech translation for Open Source community. Should you have any question concerning my ability to perform a certain task, please contact me.
I am skilled in the following softwares: Matlab programming and Simulink, PSpice, Mathematica, Maple, Optimization, Labview. I am also professional in Control design and optimization. I am native in Persian (Farsi) and fluent in English and have basic knowledge in Dutch.
I am looking for challenging problems that require mathematical skills, ingenuity, programming skills, and deep and original thinking. I worked for a few different companies and always on very interesting problems. I am looking for project in the areas of algorithms, machine learning, probability, stochastic methods, signal processing, data compression, predictive methods, mathematical methods in finance, high frequency trading strategies, genetic algorithms. risk analysis, adaptive learning algorithms, discovery of patterns, data analysis, evolutionary computation. Learning classifiers, wavelets and all preditictive methods ( svm, hidden Markov models, neural networks) applied in financial markets. I spent also a lot of time developing trading strategies in different markets, using machine learning algorithms, genetic programming. My favorite tools are matlab and R.