To be short, I’m a child who always wants to improve his model about the world.
To be more specific, I consider myself to be a bit of every thing: a statistician, a data engineer, a machine learning practitioner, an AI researcher. I probably can come up with more. I learn and do whatever it needs to broaden my view and knowledge about general intelligence.
I’m a Ph.D. student at the University of Oslo and working for a company in Norway called eSmart Systems at the same time. My job is to design a big data analytics platform for IoT applications (e.g., Smart Grid), the products that my company is selling. I do multivariate time-series analysis and modeling, including forecasting and clustering. Recently, I get involved a lot in an exciting AI project called the “Drone project”, where we develop automatic line inspection solution for Utility companies using drones. It requires applying Deep Learning and AI technologies in many parts, which make me super delighted.
This blog is an attempt to publish my thinking about statistics, machine learning, and artificial intelligence in general. Many posts will be just a set of organized random thoughts, while some others will be about how I have solved some technical issues when getting my job done. My research interest is a mix of many things, including
: Environmental forecasting with large-scale sensor networks
: Large-scale multivariate time-series models
: Recurrent and Convolutional Neural Networks
: Automatic Programming, Reinforcement Learning
: General AI, Knowledge Representation, Learning Theories, Computational Models