Intrusion detection systems using artificial intelligence

I'm a PhD student in Engineering with a Master's in Statistics. Expert in Matlab, Minitab Econometric and statistical modeling of pretty much everything you can think of. These include expertise on protocol development, research study designs, sample size calculations, data management, and data analysis using various statistical software’s (i.e. STATA, Eviews, R & SPSS), statistical interpretation and report writing. Currently involved in official approval of internal econometric models that banks are using.

I am an expert in data mining and predictive modeling. I have a PhD in Physics and I have extensive experience in machine learning applications. Minimum Budget for a real solution is 1400 usd.

A proposal has not yet been provided

I have lots of experience implementing linear and non-linear machine learning algorithms for classification and regression problems in python. These have been implemented from scratch and using existing libraries such as SKLearn and lasagne.

I’ve already worked on a lot of different projects during my Ph.D studies such as: Working on stock network data. (time-series analysis and prediction) Working on predicting popularity of news article. (time-series analysis and prediction) Working on Premise food dataset, analyzing the price volatility of food products. (time-series analysis) Working on network traffic data from Akamai. (time-series analysis) Working on twitter social network. (analyzing the surrounding network of a target group) Please note that all of these projects are done on large scale datasets in which we use methods like Map/Reduce programming or multi-core programming to process the data. In summaries, my skills vary from time-series analysis and predictive analysis to network analysis. I mostly program my projects using Python, Java, R, and Matlab, depending on the requirements of the project.