SHORT: Ph.D. in Electrical Engineering. Software architect, University Instructor. Interested in writing game apps, pattern recognition software and simply interested in the latest scientific inventions.
DETAILS: I have a Ph.D. in Electrical Engineering from The City College Of New York. I am currently an instructor at the University Of South Florida, in the Department of Computer Science. In my previous life, when working in Industry (Bell Labs, IBM T.J. Watson Labs, UPS Research Labs, Nielsen Media Research), I specialized in Pattern Recognition. I did so in Image Processing, Image Recognition, Handwriting Recognition, Optical Character Recognition and Face Recognition. I also wrote algorithms for a Financial Start-up to analyze stocks and determine when to buy or sell equities, determining target prices and confidence levels of those predictions. I currently am still interested in all those areas, but am currently writing apps for the Windows and Windows Phone platforms using C#. I have used Net-Link to connect a C# library to work I was doing on Mathematica, with great success. I have lots of ideas and am interested in pretty much anything that involves the use of Mathematics to solve problems (pretty much everything). My interest in Mathematica is immense. I find it to be an amazing tool. However, one thing that I find disturbing, is that I find it difficult to learn. For instance, I've worked with Basic, Assembler, C, C++, C# and I can always describe in exquisite details my algorithms in those languages. Perhaps it is because each statement is a simple piece of computation. The beauty of Mathematica is that I can express in one line what would require 100's of lines in those other languages. And therein might lie the issue. Each function in Mathematica is so powerful that I have difficulty in associating a general, high-level algorithm with just a few functions in Mathematica. But I am working on it. I wish I had been introduced to it 25 years ago. Now, THAT would have been something. But, as we say in French, "Il n'est jamais trop tard pour bien faire", meaning, "It is never too late to do well". So, onwards and upwards with learning more of Mathematica.