Dongrui WU – Research & Work Experience

Research Engineer      June 2010 -

Machine Learning Lab, GE Global Research, Niskayuna, NY

• Develop remote monitoring and diagnostics technologies for various GE assets.

• Develop seismic pattern recognition and smart oilfield technologies.

• Develop text mining and sentiment analysis technologies.

• Won an Award of Excellence for outstanding performance in 2010.

Postdoctoral Research Associate      September 2009 - May 2010

Institute for Creative Technologies & Signal Analysis and Interpretation Laboratory, University of Southern California, Los Angeles, CA

• Emotional and cognitive state recognition from speech and physiological signals.

• Developed novel machine learning algorithms for Affective Computing.

Graduate Research Assistant      August 2005 - May 2009

Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA

• Implemented the world's first Perceptual Computer for Computing with Words.

• Proposed Novel Weighted Averages for information fusion and multi-attribute decision-making.

• Developed Linguistic Summarization technology for knowledge discovery and data visualization.

• Works presented in a book by Wiley-IEEE, two USC graduate courses, and IEEE tutorials and plenary talks.

• Won 2012 IEEE Computational Intelligence Society Outstanding PhD Dissertation Award.

Graduate Research Assistant      August 2005 - May 2009

Chevron-USC Center for Interactive Smart Oilfield Technologies, University of Southern California, Los Angeles, CA

• Proposed a novel multi-systems approach to predict post-fracturing oil production.

• Extracted rules from oilfield data using linguistic summarization for decision-support.

Summer Intern      May 2008 - August 2008

Process Automation Unit, Chevron Energy Technology Company, Richmond, CA

• Evaluated and developed algorithms for sensor fault detection.

• Educated different teams on pattern recognition, early event detection, and fuzzy logic.

Walter Karplus Summer Research      May 2007 - August 2007

IEEE Computational Intelligence Society

• Proposed a ranking method and a similarity measure for interval type-2 fuzzy sets.

• Evaluated uncertainty measures for interval type-2 fuzzy sets.

Graduate Research Assistant      July 2003 - June 2005

Department of Electrical and Computer Engineering, National University of Singapore, Singapore

• Explained why type-2 fuzzy logic systems can model more complex processes.

• Illustrated why type-2 fuzzy logic controllers can be more robust.

• Simplified type-2 fuzzy logic systems to make them more suitable for real-time applications.

• Won Best Student Paper Award from the 2005 IEEE International Conference on Fuzzy Systems.