PhD Alumni

Signal Transformation, Analysis and Compression Group webpage

See also the Math Genealogy Project page

and the SIPI group webpage in LinkedIn

1. Dr. Liang-Jin Lin, Video Bit-Rate Control with Spline Approximated Rate-Distortion Characteristics, Feb. 1997.
2. Dr. Youngjun Yoo, Samsung, Dallas, TX, Adaptive methods and Fast Rate-Distortion Optmization Techniques for Efficient Quantization May 1998.
3. Dr. Chi-Yuan Hsu, Broadcom, San Jose, CA, Rate Control for Video Transmission over Variable Rate Channels May 1998.
4. Prof. Woontack Woo, Korea Advanced Institute of Science and Technology (KAIST), Korea. Rate-Distortion Based Dependent Coding for Stereo Images and Video: Disparity Estimation and Dependent Bit Allocation Dec. 1998.
5. Dr. Christos Chrysafis, Apple, Cupertino, CA, Wavelet Image Compression: Rate Distortion Optimizations and Complexity Reductions Dec 1999.
6. Dr Wenqing Jiang, Lab126, Cupertino, CA, Contributions to transform coding system implementations Dec. 1999.
7. Dr Krisda Lengwehasatit, Code and Craft LTD, Thailand Complexity-Distortion Tradeoffs in Image and Video Compression Dec. 1999.
8. Dr Raghavendra Singh, IBM Research, Delhi, India, Source level sequence based processing for signal compression and reliable transmission, Summer 2001.
9. Dr Zhourong Miao, Uber, San Francisco, CA, Algorithms for Streaming, Caching and Storage of Digital Media, May 2002.
10. Prof David W. Pan, University of Alabama, Huntsville, AL, Variable complexity algorithms and adaptive computation control in video coding and communications Aug. 2002.
11. Prof. Baltasar Beferull-Lozano, Intelligent Signal Processing & Wireless Networks, Department of Information and Communication Technologies, University of Agder, Norway, Quantization Design for Structured Overcomplete Expansions Sept. 2002.
12. Dr. Sang-Yong Lee, LGE, Seoul, South Korea, Color processing and rate control for storage and transmission of digital images and video , Jan. 2003.
13. Dr. Kemal Demirciler, Eastern Mediterranean University, Cyprus, Contributions to efficient vector quantization and frequency assignment design and implementation, May 2003.
14. Dr. Phoom Sagetong, Contributions to Image and Video Coding for Secure and Reliable Communications
15. Dr Naveen Srinivasamurthy, Qualcomm, Bangalore, India, Compression for distributed speech recognition (Co-advised with S. Narayanan), Nov. 2003.
16. Dr Hua Xie, NASA-JPL, Pasadena, CA, Contributions to content based image retrieval , Sep. 2004.
17. Dr Hyukjune Chung, Qualcomm, San Diego, CA, Complexity scalable and robust motion estimation for video compression, Feb. 2005.
18. Dr. Alexandre G. Ciancio, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil Distributed Wavelet Compression Algorithms for Wireless Sensor Networks , Aug. 2006.
19. Dr Huisheng Wang, Google, Mountain View, CA Algorithms for scalable and network-adaptive video coding and transmission , Aug. 2007.
20. Dr Nazeeh Aranki, Western International Securities, Pasadena, CA Practical implementations of the wavelet transform and hyperspectral data compression on reconfigurable platforms: approach, methodology and practical considerations , Aug. 2007.
21. Prof Yoon Hak Kim, Chosun University, Gwangju, Korea, Distributed Algorithms for Source Localization Using Quantized Sensor Readings , Aug. 2007.
22. Prof Ngai-Man Cheung, Singapore University of Technology and Design, Singapore Distributed Source Coding for Image and Video Applications , May 2008.
23. Dr Jae Hoon Kim, Apple, Cupertino, CA, Predictive Coding Tools in Multi-view video compression , Aug. 2008.
24. Dr Po-Lin Lai, Mediatek, USA, Focus Mismatch Compensation and Complexity Reduction Techniques for Multiview video coding , May 2009.
25. Prof. Roger Pique-Regi, Center for Molecular Medicine and Genetics, School of Medicine, Wayne State University, Detroit, MI, Sparse representation models and applications to Bioinformatics, Aug. 2009 (co-advised with Shahab Asgharzadeh).
26. Dr In Suk Chong, Qualcomm, San Diego, CA Error Tolerant Multimedia Compression System , Dec. 2009.
27. Dr. Brent McCleary, Raytheon, Digital Imaging System Testing and Design Using Physical Sensor Characteristics , Dec. 2009.
28. Dr Godwin Shen, NASA JPL Lifting Transforms on Graphs: Theory and Applications , Aug. 2010.
29. Dr Kun Han Lee, Pony.ai Investigating Statistical Modeling Approaches for Reservoir Characterization in Waterfloods from Rates Fluctuations , Dec. 2010.
30. Dr Hye-Yeon Cheong, Apple, Error Tolerance Approach for Similarity Search Problems , May 2011.
31. Dr Zihong Fan , VideoSlick, Interactive Fast Random Access, Retrieval and Navigation of Large Datasets , Aug. 2011.
32. Dr Woo-Shik Kim, Qualcomm 3-D Video Coding System with Enhanced Rendered View Quality , Aug. 2011.
33. Dr Sean McPherson, Intel Event Based Measurement and Analysis of Internet Network Traffic , Aug. 2011.
34. Dr Sunil K. Narang, Microsoft, Redmond, WA Critically Sampled Wavelet Filterbanks on Graphs , Aug. 2012.
35. Dr Lingyan Sheng, Revolve Clothing, Cerritos, CA Novel Algorithms for Large Scale Supervised and One Class Learning , Aug. 2013.
36. Dr Sungwon Lee, Qualcomm, San Diego, CA Application-driven Compressed Sensing , Aug. 2013
37. Dr Yenting (Greg) Lin, Google Transmission Tomography for high contrast media based on sparse data , Aug. 2013
38. Dr Jason Tokayer, Ultimate Software Contributions to Structural and Functional Retinal Imaging via Fourier Domain Optical Coherence Tomography , Nov. 2013, (co-advised with David Huang).
39. Dr Amin Rezapour, Triptech, Inc., Vancouver, BC, Canada Data Based Modeling and Analysis in Reservoir Waterflooding, Nov. 2016.
40. Dr Akshay Gadde, Qualcomm, San Diego, CA Sampling and Filtering of Signals on Graphs with Applications to Active Learning and Image Processing , Aug. 2017.
41. Dr Hilmi Egilmez, Qualcomm, San Diego, CA Graph-Based Models and Transforms for Signal/Data Processing with Applications to Video Coding , Aug. 2017.
42. Dr Yung-Hsuan Chao, Qualcomm, San Diego, CA Compression of Signals on Graphs with Application to Image and Video Coding , Nov. 2017.
43. Dr Aamir Anis, Google, Mountain View, CA Sampling Theory for Graph Signals with Applications to Semi-supervised Learning , Nov. 2017.