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Curriculum Vita: Huadong Wu
The Robotics Institute, School of Computer Science
Carnegie Mellon University, Pittsburgh, PA 15213
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current working: Postdoctoral Research Associate,
Radiology Department, University of Pittsburgh, PA 15213
Mailing address:
5520 Fifth Avenue Apt.5C, Pittsburgh, PA 15232
Phone: 412-641-2512 (work, UPitt); 412-688-8598 (home)
Email: wuhuadong@yahoo.com
Homepage: http://www.cs.cmu.edu/~whd
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CAREER OBJECTIVE
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A full time position involving applied research in computer
science that will utilize my expertise in intelligent sensing,
information fusion, pattern recognition (classification,
diagnosis, and prognosis), and preferably my strong engineering
research and development experience
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SUMMARY OF QUALIFICATIONS
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* Expertise in artificial intelligence techniques via research
in sensor data fusion, context-aware Human-Computer-
Interaction, robotics application, sensor signal processing,
and intelligent sensing
* Proficient in software programming, familiar with Windows and
Unix OS and various commonly used tools via 8+ years of
various research projects and robotics graduate courses
* Skillful in mechanical design and system control via 8+ years
of engineering research and development practice, through the
full R&D life-cycle of several robotic products
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EDUCATION
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Robotics Institute, School of Computer Science
Carnegie Mellon University, Pittsburgh, PA 15213
* Ph.D. in Robotics, May 2004
* M.S. in Robotics, August 1998
Ph.D. Dissertation: "Sensor Fusion for Context-Aware Computing
Using Dempster-Shafer Theory"
Courses Taken:
Core Qualifiers: #1 Perception: Computer Vision, Advanced
Perception; #2 Cognition: Artificial Intelligence, Sensor Based
Robot Motion Planing; #3 Manipulation: Robotics Manipulation,
Mechanics of Manipulation; #4 Math Foundation: Introduction to
Differential Geometry, Mathematical Foundation for Robotics.
Specialized Qualifier: Computer Control Systems Design Lab,
Digital Signal Processing I, Advanced Data Analysis II;
Shanghai Jiao Tong University, Shanghai, China
* M.S. in Inertial Navigation, February 1987
M.S. Dissertation: "Data Processing of the ESG Drift Tested
Using Torque-Feedback Method"
Key Courses Taken:
Mathematical Statistics; Matrix Theory; Numerical Analysis;
Stochastic Process; Linear Systems; Optimal Estimation;
Principles of Gyroscope; Calculus of Variations; Inertial
Navigation; Adaptive Control; System Identification;
Application of Microcomputer; Inertial Elements & Data
Processing
Shanghai Jiao Tong University, Shanghai, China
* B.S. in Precision Instrument, July 1984
Undergraduate Thesis Project: "Mechanical Design of Shoulder
Joint for Disabled People" (Final Grade: Excellent)
Key Courses Taken:
Advanced Mathematics; Engineering Mathematics; University
Physics; University Chemistry; Inorganic Chemistry
Experiments; Theoretical Mechanics; Theory of Machines;
Machine Drawing; Precision Machine Design; Strength of
Materials; Tolerance & Technical Measurements; Metallic
Material & Heat Treatment; Basic Circuit Theory; Analogue
Electronics; Digital Electronics; Digital Electronics
Experiments; Theory of Automatic Control; Control of
Electrical Machinery; Sensors; Instrument Fabrication
Techniques; Algorithmic Language; Principles & Application
of Microcomputer; Basis of Instrument Optics; Techniques of
Optical-Electric Measurement; Design of Precision
Instruments; Mechanical Quantity Measurement; Dynamic
Measurement & Analyses; Measurement Errors & Data Processing
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RESEARCH
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* Current Research: Medical image processing
to register pathological liver specimen slices with the MRI
images taken prior surgical transplant, to recognize
pathological signatures of liver tumor in MRI image
* Ph.D. Dissertation Abstract
Context-aware computing is to have computers understand human
situational "context" information, and sensing context is in
the forefront of context-ware computing research. To meet the
sensor fusion challenges for context-sensing, wherein the
sensor set is highly dynamic in configuration, the sensor
output joint probability distribution is typically unavailable,
and human subjective speculation is often desired to be added
into the information fusion process, this dissertation
introduced the Dempster-Shafer Evidence Theory into the
context-aware computing research area. The theoretical
principle is first practically extended to account for the
sensors' different performance factors, and then the reasoning
system is further extended to improve its robustness against
the sensor drift and environment changing effects. As an
add-on module to the existing Context Toolkit System from
Georgia Tech, this sensor fusion system architecture is
implemented and tested. Case studies with prerecorded
experimental data and with artificially generated simulation
data both demonstrated the feasibility of this approach and
the effectiveness of the sensor fusion algorithms.
* Pre-thesis Research: Coin-Tap Test
With coin-tap test, the research in signal processing, sensor
fusion, and pattern recognition is to detect disband defects
in sandwich material structures (especially emphasizing on
applications of aging-aircraft skin inspection). The research
discoveries lead to a practical engineering solution in which
the tap impact acceleration and the correspondingly emitted
sound two-modality information is judiciously combined.
* Pre-thesis Research: Odor Sensor for Incontinence
The goal is to invent an "artificial nose" for nursing homes.
This research studied the dynamic behavior of several tin oxide
based solid state gas sensors under an alternating heating
current, explored the high-dimensional feature space of the
sensor array's responses.
* Pre-thesis Research: Vehicle Sound Recognition & Tracking
Research in signal processing and pattern recognition, the goal
is to enable small autonomous robots to find and track typical
vehicle types (such as tanks, trucks, helicopters, etc.) in
battle field environment. The research creatively transferred
an image processing technique in human face recognition
research to audio signal processing applications for
effectively detecting sound signatures.
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WORK EXPERIENCE
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Imaging Research, Department of Radiology, School of Medicine,
University of Pittsburgh, Pittsburgh, PA 15212-3180
May 2004 - current
in medical image processing, to register pathological liver
specimen slices with the MRI images taken prior surgical
transplant, to recognize pathological signatures of liver tumor
in MRI images
Robert Bosch Research and Technology Center North America,
Pittsburgh, PA 152
Summer internship, 2001-5-14 - 2001-08-31
Transferred a sensor fusion software package from Linux
platform to Windows 2000 platform, improved documentation
and studied enhancing it with some context-aware computing
features
Motorola Applications Research Labs,
Schaumburg, Illinois 60169
Summer internship, 2000-05-16 - 2000-09-01
Conducted a thorough literature research on sensing and
sensor technology that can be used for human-computer
interaction, analyzed gathered information to suggest a
sensor technology road map for the Context-Aware Computing
Research Project in Motorola Research Labs
Robot & Automation Research Institute, Beijing, China
1987.2 - 1989.12 Engineer Assistant
1990.1 - 1993.8 Engineer
1993.9 - 1995.6 Senior Engineer
* R&D of HRGP-1A Painting Robots, 1987.2 - 1995.6
participated in the whole process from design and prototype
to improvement and application support, mainly on mechanical
design of some of its components/parts, robot control
programming, production line application support
* R&D of HRGB-1 Assembly Robot, 1990.6 - 1991.12
participated in its whole prototype process, in charge of
the mechanical design of its vertical arm assembly, helped
the design of its electrical control system
* R&D of Video-Dynamic-Simulation-Seat, 1993.1 - 1995.6
participated the whole prototype process of 2 models, in
charge of motion analysis and control programming
* Various other projects mostly involved in mechanical
design and system control programming
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SKILLS
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* Computer Language: Java, C, C++, Basic, SQL, Perl,
FORTRAN, Assembly, HTML/XML, etc.
* Operating System: familiar with Microsoft Windows and
UNIX through various projects
* Software Tools: MS Office, Sun One Studio, Eclipse, MS
Visual Studio, Matlab, Rational Rose, JBuilder, Unix GNU
tools, Mathematica, S-plus, Origin, MySQL, Apache, etc.
* System Control: experiences in PID control, frequency
analysis, robot & automation, etc.
* Mechanical Engineering: 8+ years of experiences in
machine, equipment, and parts’ design
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TEACHING
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* Teaching Assistant, Spring Semester of 2000
16-722 Sensing and Sensors, taught by Prof. Mel Siegel,
* Teaching Assistant, Spring Semester of 1999
15-229 Multimedia Information Processing, taught by Prof. Robert
Thibadeau, Prof. Roger Dannenberg, and Prof. Raj Reddy
* Teaching Assistant, Fall Semester of 1985 (1985.9 - 1986.1)
Theory of Automatic Control
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PUBLICATIONS
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* "Confidence Fusion", Mel Siegel, Huadong Wu, the Proceedings
of ROSE'2004 (2004 IEEE Workshop on Robotic Sensing), May 24-25,
2004, Graz, Austria
* "Sensor Fusion Using Dempster-Shafer Theory II: Static
Weighting and Kalman Filter-like Dynamic Weighting,"
Huadong Wu, Mel Siegel and Sevim Ablay (Motorola), the
Proceedings of IMTC'2003, (IEEE annual Instrumentation and
Measurement Technology Conference, Vail, CO USA, May 20-22,
2003)
* "Objective Evaluation of Subjective Decisions," Mel Siegel,
Huadong Wu, the Proceedings of SCIMA'2003 (International
Workshop on Soft Computing Techniques in Instrumentation,
Measurement and Related Applications, Brigham Young University,
Provo, Utah, USA, May 17, 2003)
* "Sensor Fusion Using Dempster-Shafer Theory," Huadong Wu,
Mel Siegel, Rainer Stiefelhagen, and Jie Yang, the Proceedings
of IMTC'2002 (Anchorage, AK, USA, May 21-23, 2002)
* "Sensor Fusion for Context-Understanding", Huadong Wu,
Mel Siegel, Sevim Ablay (Motorola), the Proceedings of
IMTC'2002, (Anchorage, AK, USA, 21-23 May 2002)
* "Odor-Based Incontinence Sensor", Huadong Wu, Mel Siegel,
the Proceedings of IMTC'2000 (Baltimore, MD USA, May 1-4,
2000), selected in the IEEE Transactions on Instrumentation
and Measurement Special Edition
* "Sensor Fusion Approach to Automating the 'Coin Tap Test',"
Huadong Wu, Mel Siegel, ASNT'1999, (American Society of
Non-Destructive Test Annual Conference, Phoenix, Arizona,
Oct. 11-15, 1999)
* "Correlation of Accelerometer and Microphone Data in Coin
Tap Test," Huadong Wu, Mel Siegel, the Proceedings of
IMTC'1999, selected in the IEEE Transactions on Instrumentation
and Measurement, Vol. 49, No. 3, June 2000, page 493 - 497,
(ISSN 0018-9456).
* "Vehicle Sound Signature Recognition by Frequency
Principle Component Analysis," Huadong Wu, Mel Siegel and
Pradeep Khosla, the Proceedings of IMTC'1998 , selected in the
IEEE Transaction on Instrumentation and Measurement Vol. 48,
No. 5, October 1999, page 1005 - 1009, (ISSN 0018-9456)
* "Error Analysis of HRGP-1A Painting Robot," Huadong Wu,
the Proceedings of the second National Symposium on Robotics,
Beijing, China, Oct. 1991
* "System Analysis of the T3-746 Industry Robot," Huadong Wu,
the Proceedings of the Symposium on Robotics, Chinese Society
of Astronautics, Harbin, Oct. 1990
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HONORS
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* Graduate Fellowship since from the Robotics Institute,
School of Computer Science, Carnegie Mellon University,
September 1995 – August 2003
* Recipient of Motorola University Partnership in Research
(UPR) Grant, 2001 - 2003
* Three papers selected in IEEE Transactions Special Issues
of Instrumentation and Measurement
* The paper "Error Analysis of HRGP-1A Painting Robot" won
the second prize in the 1990 Young Scholars' Thesis
Competition in the Ministry of Space and Aeronautics
Industry, China
* Technical Report "Robot Tracking System for Rocket Fueling
Process" won the third prize in the 4th Young Scholars' Science
& Technology Conference of China Academy of Launch Vehicle
Technology, Beijing, 1994