Dongrui Wu's homepage

Short Biography (Resume)

Dongrui Wu received a B.E in Automatic Control from the University of Science and Technology of China, Hefei, Anhui, P.R. China, in 2003, and an M.Eng in Electrical Engineering from the National University of Singapore, Singapore, in 2005. Currently he is pursuing his Ph.D. in Electrical Engineering at the University of Southern California, Los Angeles, CA. His research interests include control theories, computational intelligence, machine learning, signal processing, and their applications to smart oilfield technologies. He received a Best Student Paper Award from the IEEE International Conference on Fuzzy Systems, Reno, Nevada, 2005. Dongrui Wu is a student member of IEEE and SPE, and a member of Eta Kappa Nu.

Research Interests

Control theories, computational intelligence, machine learning, signal processing, and their applications to smart oilfield technologies.

Education

PhD Candidate, Electrical Engineering 08/2005 - Present

University of Southern California, Los Angeles, CA

Research Direction: Computational Intelligence and Its Applications to Smart Oilfield Technologies

Advisor: Professor Jerry M. Mendel

GPA: 3.9/4.0

Minor, Mathematics 08/2007 - Present

University of Southern California, Los Angeles, CA

GPA: 3.7/4.0

Minor, Petroleum Engineering (Smart Oilfield Technologies) 08/2005 - 05/2007

University of Southern California, Los Angeles, CA

GPA: 4.0/4.0

M. Eng, Electrical Engineering 07/2003 - 06/2005

National University of Singapore, Singapore

Thesis: Design and Analysis of Type-2 Fuzzy Logic Systems (PDF)

Advisor: Dr. Woei Wan Tan

GPA: 5.0/5.0

B. Eng, Automation 09/1999 - 07/2003

University of Science and Technology of China, Hefei, Anhui, China

Thesis: IPv6 Network Security Technology (PDF)

GPA: 3.7/4.0

Honors & Awards

Research Assistantship, University of Southern California 08/2005 - Present

The Society of Petroleum Engineers Los Angeles Basin Section Graduate Scholarship 05/2008

Walter Karplus Summer Research Grant, IEEE Computational Intelligence Society 07/2007

Travel Grant, IEEE International Conference on Fuzzy Systems 07/2007

Best Presentation Award, World Congress on Computational Intelligence 07/2006

Best Student Paper Award, IEEE International Conference on Fuzzy Systems 05/2005

Research Scholarship, National University of Singapore 07/2003 - 06/2005

Liu Yongling Special Scholarship, University of Science and Technology of China 05/2003

Outstanding Student Scholarship, University of Science and Technology of China 1999 - 2003

Work Experience

Chevron Energy Technology Company, Richmond, CA 2008

Facilities Engineering Summer Internship on Early Event Detection

Evaluated the performance of several early event detection methods on sensor validation and inferential sensor, which will help determine whether to deploy them in Chevron.
Prepared a large dataset on a refinery process through interaction with the operator and process engineer, which will be used in a Curvaceous pilot.
Educated different teams on pattern recognition, early event detection and fuzzy logic through six presentations, and promoted the use of the ensemble method in early event detection.

Research Experience

Center for interactive Smart Oilfield Technologies, University of Southern California, Los Angeles, CA

2005 - 2009

1. Adaptive Linguistic Summarization of Field Models for Integrated Asset Management

Applying computing with words technologies to Chevron integrated asset management problems for subjective decision making.
Developing linguistic summarization techniques to generate rules/patterns from data so that the data can be better understood.
Developed novel weighted averages, which enable the fusion of different kinds of data (numbers, intervals, words) and quantitative comparison of complex hierarchical and distributed processes. These results were presented in plenary talks of several international conferences, and a graduate course in the University of Southern California.
Developed perceptual reasoning methods for subjective decision making.

2. Lost Hills Field Fracture Stimulation Optimization

Created an efficient data structure so that parameters of the wells can be extracted easily.
Proposed a novel multi-systems approach to predict the post-fracturing responses so that redundant inputs can be better used. The prediction error is smaller than 30% (project target) for more than 96% of the wells.

Department of Electrical and Computer Engineering, National University of Singapore, Singapore 07/2003-06/2005

1. Design and Analysis of Type-2 Fuzzy Logic Systems (FLSs)

Proposed a simplified type-2 FLS structure to reduce the computational cost, and hence made type-2 FLSs more suitable for real-time applications.
Proposed the novel concept of Equivalent Type-1 Sets, and used it to analyze the properties of type-2 FLSs. This work won the Best Student Paper award in the IEEE International Conference on Fuzzy Systems, Reno, Nevada, 2005.
Showed that a type-2 PI-like FLS may be equivalent to a type-1 PI FLS with adaptive PI gains in certain input ranges, and hence explained why a type-2 PI-like FLS may be more robust than a type-1 one.

2. Bio-Inspired Robots and Central Pattern Generators

Compared several analog circuit realized Central Pattern Generators (used in robotics locomotion control):

1. Cellular Neural Networks (CNN) proposed by Chua and Yang;

2. Nervous (Nv) and Neural (Nu) Neurons proposed by Tilden;

3. An adaptive aVLSI CPG chip designed by Lewis et al.; and,

4. An analog CMOS CPG proposed by Nakada et al..

Proposed and tested a CNN realization of Matsuoka's CPG model.
Matlab and PSpice simulations.
Hardware realization.

Publications

Book Chapter:

1. W. W. Tan and D. Wu, "Design of Type-Reduction Strategies for Type-2 Fuzzy Logic Systems using Genetic Algorithms,'' in Advances in Evolutionary Computing for System Design, L.C. Jain, V. Palade and D. Srinivasan (Eds), pp. 169-188, Springer, 2007.

Journal Papers:

1. D. Wu and W. W. Tan, "Genetic Learning and Performance Evaluation of Type-2 Fuzzy Logic Controllers,'' Engineering Applications of Artificial Intelligence, 19 (8), pp. 829-841, 2006.

2. D. Wu and W. W. Tan, "A Simplified Type-2 Fuzzy Controller for Real-Time Control,'' ISA Transactions, 15 (4), pp. 503-516, 2006.

3. D. Wu and J. M. Mendel, "Aggregation Using the Linguistic Weighted Average and Interval Type-2 Fuzzy Sets," IEEE Trans. on Fuzzy Systems, 15 (6), pp. 1145-1161, 2007.

4. D. Wu and J. M. Mendel, "Uncertainty Measures for Interval Type-2 Fuzzy Sets," Information Sciences, 177, pp. 5378-5393, 2007.

5. D. Wu and J. M. Mendel, "A Vector Similarity Measure for Interval Type-2 Fuzzy Sets and Type-1 Fuzzy Sets," Information Sciences, 178, pp. 381-402, 2008.

6. D. Wu and J. M. Mendel, "Enhance Karnik-Mendel Algorithms," IEEE Trans. on Fuzzy Systems, in press.

7. J. M. Mendel and D. Wu, "Perceptual Reasoning for Perceptual Computing," IEEE Trans. on Fuzzy Systems, in press.

Journal Papers under Review:

1. D. Wu and J. M. Mendel, "A Comparative Study of Ranking Methods, Similarity Measures and Uncertainty Measures for Interval Type-2 Fuzzy Sets," submitted to Information Sciences, Feb 2008.

Conference Papers:

1. D. Wu and W.W. Tan, "A Type-2 Fuzzy Logic Controller for the Liquid-Level Process,'' in Proc. IEEE International Conference on Fuzzy Systems, vol. 2, pp. 953--958, Budapest, July 2004.

2. D. Wu and W. W. Tan, "A Simplified Architecture for Type-2 FLSs and Its Application to Nonlinear Control,'' in Proc. IEEE Conference on Cybernetics and Intelligent Systems, pp. 485--490, Singapore, Dec. 2004.

3. D. Wu and W. W. Tan, "Type-2 FLS Modeling Capability Analysis,'' in Proc. IEEE International Conference on Fuzzy Systems, pp. 242--247, Reno, USA, May 2005.

4. D. Wu and W. W. Tan, "Computationally Efficient Type-Reduction Strategies for a Type-2 Fuzzy Logic Controller,'' in Proc. IEEE International Conference on Fuzzy Systems, pp. 353--358, Reno, USA, May 2005.

5. D. Wu and J.M. Mendel, "The Linguistic Weighted Average," in Proc. IEEE International Conference on Fuzzy Systems, pp. 566-573, Vancouver, BC, Canada, July 2006.

6. D. Wu and J.M. Mendel, "A Vector Similarity Measure for Type-1 Fuzzy Sets," in Proc. IFSA World Congress, pp. 575-583, Cancun, Mexico, June 2007.

7. J.M. Mendel and D. Wu, "Cardinality, Fuzziness, Variance and Skewness of Interval Type-2 Fuzzy Sets," in Proc. First IEEE Symposium on Foundations of Computational Intelligence (FOCI), pp. 375-382, Honolulu, HI, April 2007.

8. D. Wu and J.M. Mendel, "A Vector Similarity Measure for Interval Type-2 Fuzzy Sets," in Proc. FUZZ-IEEE, pp. 1-6, London, UK, July 2007.

9. D. Wu and J.M. Mendel, "Enhanced Karnik-Mendel Algorithms for Interval Type-2 Fuzzy Sets and Systems," in Proc. NAFIPS, pp. 184-189, San Diego, CA, June 2007.

10. J. M. Mendel and D. Wu, "Perceptual Reasoning: A New Computing With Words Engine," in IEEE Int'l Conf. on Granular Computing (GrC2007), pp. 446-451, Silicon Valley, CA, November 2007.

11. D. Wu and J. M. Mendel, "Perceptual Reasoning Using Interval Type-2 Fuzzy Sets: Properties," IEEE World Congress on Computational Intelligence (WCCI2008), Hong Kong, June 2008.

Theses:

1. D. Wu, "IPv6 Network Security Technology (in Chinese)," B.E Thesis, Department of Automation, University of Science and Technology of China, Hefei, Anhui, China, June 2003.

2. D. Wu, "Design and Analysis of Type-2 Fuzzy Logic Systems," M.Eng Thesis, Department of Electrical and Computer Engineering, National University of Singapore, Singapore, June 2005.

Reports:

1. D. Wu, W.W. Tan and P. Vadakkepat, "A Cellular Neural Network Realization of Matsuoka's Central Pattern Generator Model,'' Advanced Control Technology Laboratory, National University of Singapore, Singapore, 2005.

2. D. Wu, W.W. Tan and P. Vadakkepat, "A Comparison of Hardware-Realized Central Pattern Generators (CPGs)," Advanced Control Technology Laboratory, National University of Singapore, Singapore, 2005.

3. W. W. Tan and D. Wu, "Theory of Equivalent Type-1 Fuzzy Logic Systems (ET1FLSs)," Advanced Control Technology Laboratory, National University of Singapore, Singapore, 2005.

4. D. Wu and J.M. Mendel, "On the Linguistic Weighted Average," report, Signal and Image Processing Institute, University of Southern California, Los Angeles, CA, 2006.

5. D. Wu, "A Comparative Study of Ranking Methods, Similarity Measures and Uncertainty Measures for Interval Type-2 Fuzzy Sets," IEEE Computational Intelligence Society Walter Karplus Summer Research Grants Report, 2007.

Activities

Graduate Student Member, Institute of Electrical and Electronics Engineers (IEEE)

Student Member, Society of Petroleum Engineers (SPE)

Member, Eta Kappa Nu (HKN) Upsilon Chapter

Technical Committee, IEEE World Congress on Computational Intelligence (WCCI), Hong Kong, 2008

Referee for:

IEEE Transactions on Neural Networks (TNN)
IEEE Transactions on Fuzzy Systems (TFS)
IEEE Transactions on Control Systems Technology (TCST)
IEEE Transactions on Systems, Man and Cybernetics (SMC)
IEEE Signal Processing Letter
International Journal of Acoustic and Vibration (IJAV)
International Journal of Computational Intelligence Research (IJCIR)
International Journal of General Systems (IJGS)
International Journal of Approximate Reasoning (IJAP)
Information Sciences
IET Signal Processing
Soft Computing

Volunteer for:

The 2nd and 3rd International Conference on Computational Intelligence, Robotics and Autonomous Systems, Singapore, 2003 & 2005
Congress of Evolutionary Computation, Singapore, 2004

Coordinator for Study Affairs, Department of Automation, University of Science and Technology of China, 09/1999-05/2003

Teach Assistant, EE2010 Systems and Control, Department of Electrical and Computer Engineering, National University of Singapore, 07/2003 - 06/2005