Artificial intelligence Researcher / Data analysis Programmer

Artificial intelligence technologies (data minding, data analysis, neural networks, fuzzy logic, Baysian Networks),
Computational linguistics (text mining, ontology, knowledge representation, text summarization, natural language processing),
Web development (HTML, javascript, ASP, servlet)
Java, C++ (VC++), Prolog, Lisp, Perl
Database (SQL)
Enjoy challenges and learning new technologies and fields.
Keen interests in bioinformatics and cognitive science


My main interest has been to understand how our brains carry out sophisticated tasks, which has led me to acquire various experiences and knowledge pertaining machine learning and computational logic to simulate, someday, the (partial) power of brains. Research on Artificial Life (A-Life) fascinates me in this context. The learning (including reasoning, planning and adapting) ability is the central part by which the brain claims the evidence of its intelligence. I hope someday I will create an artificial brain that can pass the Turing test. What I started for fun by working on Natural Language Processing to have a good communication interface for this simulation, later, became a crucial part of my Ph.D. research. Formalizing context is the main challenge of this project. The importance of context cannot be overemphasized especially in most of the real-world problems of dynamic and complex environment. I have attended cognitive science meetings at my previous university, in which people from various majors including cognitive psychology and philosophy discussed how our brains work. Some of the topics covered at the meeting were cognition, language, memory, etc.

However my interest isn?t limited just to A-Life. I consider myself an AI-er who is interested in various topics in Artificial Intelligence. I?ve got my master degree in computer science by publishing a thesis which thoroughly compared and analyzed two input encoding schemas for different Neural Networks architectures and learning methods using MATLAB toolkits.
Also I am interested in statistical analysis and inferences. I took some probability and statistics classes, sat in a data minding class, and attended several bioinformatics seminars. It is amazing to realize that some of seemingly different problems in AI are particular cases of the root finding (or function fitting) problem in math. My interests also extend to bioinformatics and cognitive science.