Curriculum Vita

Erika S. Chuang


610 Woodside Drive

Woodside, CA 9402

Tel: (650) 331-0606



Massachusetts Institute of Technology

Bachelor of Science, Electrical Engineering, 1996

Master of Engineering in Electrical Engineering and Computer Science, 1997


Stanford University

PhD in Electrical Engineering. 2004.

            Dissertation: Analysis, Synthesis, and Retargeting of Facial Expressions

Thesis advisor: Chris Bregler


Research Interests

The interdisciplinary area of computer vision, graphics and machine learning, in particular the modeling of human facial expressions, body motion and its application to animation, human computer interaction and communications.



UC Santa Cruz, Computer Science, Research Associate, Sep 2005 – present


Vsee Lab, Consultant, summer 2004 - present

Startup focused on video conferencing and distance learning.


Stanford University Graphics Lab, Research Assistant, 2000 - 2004

Computer vision and animation, including facial expression tracking, 3D shape reconstruction, analysis of facial expressions using statistical models, motion retargeting, and cartoon tracking.


Hewlett Packard Corp., Intern Researcher, summer 2003

Computer vision algorithm for 3D immersive video conference application.


Disney Feature Animation, Consultant, summer 2002

Digital Human Project: 3D capture, modeling, and animation of human face.


Hewlett Packard Corp., ASIC Design Engineer, 1998 - 1999

Design for a mix-signal chip for wireless home network application.


MIT Speech Communication Lab, Research Asistant, 1995 - 1997

Research in acoustics and voice modeling for speech recognition and speech synthesis.


IBM, Microelectronics Division, Intern,

- ASIC design for real-time video scaler, 6/1996 – 1/1997

- Performance evaluation for PC memory subsystem, summer 1995

- Circuit design for DRAM chips, summer 1994



E. Chuang and C. Bregler, “Mood Swings: Expressive Speech Animation”, ACM Transactions on Graphics. April, 2005.

E. Chuang, “Analysis, Synthesis and Retargeting of Facial Expressions”, Ph.D Thesis, Stanford University, 2004.

J. Davis, M. Agrawala, E. Chuang, Z, Popovic, D. Salesin, “A Sketching Interface for Articulated Figure Animation”, Symposium of Computer Animation, 2003.

E. Chuang and C. Bregler, "Head Emotion", Stanford University Computer Science Technical Report, CS-TR-2003-02, April 2003.

E. Chuang, H. Deshpande, C. Bregler, “Facial Expression Space Learning”, Pacific Graphics, 2002.

C. Bregler, L. Loeb, E. Chuang, and H. Deshpande, “Turning to the Masters: Cartoon capture and retargeting”, SIGGRAPH 2002.

E. Chuang and C. Bregler, “Performance driven facial animation using blendshape interpolation”, Stanford University Computer Science Technical Report, CS-TR-2002-02, April 2002.

H. M. Hanson and E. S. Chuang, “Glottal characteristics of male speakers: Acoustic correlates and comparison with female speakers”, Journal of Acoustic Society of America, Aug. 1999.

J-Y Choi, E. Chuang, D. Gow, K. Kwong, S. Shattuck-Hufnagel, K. Stevens, and Y. Zhang, “Labeling a speech database with landmarks and features”, Journal of Acoustic Society of America, Conference Abstract, Nov. 1997.

E.S. Chuang, “Design and Implementation of a Real-Time Video and Graphics Scaler”, Master’s Thesis, MIT 1997.


Paper Reviewer

SIGGRAPH, CVPR, ACM Multimedia, NPAR, Graphics Interface, Eurographics



National Science Foundation Graduate Fellowship

Tau Beta Pi – The Engineering Honor Society

Sigma Xi – The Scientific Research Society


Invited Talks

The art, myth, and science of video conferencing

- Stanford University HCI seminar, March 2005


The past, present and future of video conferencing

- YangMing Rotary Club of Taipei, Taiwan, January, 2005


Analysis, synthesis, and retargeting of facial expressions

- National Taiwan University, Department of Computer Science, Feburary 2005

- Industrial Technology Research Institute, Taiwan, Feburary, 2005

- Hewlett Packard Corp, September 2003


Synthesizing believable facial expressions

- New York University, November 2002


Facial expression space learning

- University of Southern California, June 2002