Thomas Huang facts for kids
Quick facts for kids
Thomas Huang
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Huang in the early 2000s
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Thomas Shi-Tao Huang
June 26, 1936 Shanghai, Republic of China
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| Died | April 25, 2020 (aged 83) Fort Wayne, Indiana, U.S.
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| Nationality | Chinese |
| Citizenship | American |
| Alma mater | National Taiwan University Massachusetts Institute of Technology |
| Occupation | electrical engineer, computer scientist |
| Years active | 1963–2014 |
| Spouse(s) | Margaret Huang |
| Children | Greg Huang Marjorie Huang Tom Huang |
Thomas Shi-Tao Huang (traditional Chinese: 黃煦濤; simplified Chinese: 黄煦涛; pinyin: Huáng Xùtāo, June 26, 1936 – April 25, 2020) was an American computer scientist and electrical engineer. He was born in China. He worked as a researcher and professor at the University of Illinois at Urbana-Champaign (UIUC).
Huang was a very important person in the fields of computer vision, pattern recognition, and human-computer interaction. These fields help computers "see" and understand images, recognize patterns, and allow people to interact with computers easily.
Contents
Early Life and Education
Thomas Huang was born on June 26, 1936, in Shanghai, which was then part of the Republic of China. In 1949, his family moved to Taiwan. He studied electronics at the National Taiwan University and earned his first degree in 1956.
After that, Huang moved to the United States to study at the Massachusetts Institute of Technology (MIT). At MIT, he worked with professors who were interested in how to code and process images.
Back then, special machines to scan images into computers were not easy to buy. So, Huang and his team had to build their own scanners to turn pictures into digital information. They wrote computer programs using an early computer called the TX-0. The digital images were stored on paper tapes with punched holes.
Huang earned two advanced degrees from MIT. For his master's degree (1960), he studied ways to make image coding better, especially around the edges of pictures. For his doctorate degree (1963), he looked at how different kinds of "noise" (unwanted signals) affected images.
Career Journey
After finishing his studies, Huang became a professor at MIT in the Department of Electrical Engineering. He taught there from 1963 to 1973.
In 1973, he moved to Purdue University. There, he was an electrical engineering professor and led a lab focused on information and signal processing. He stayed at Purdue until 1980.
In 1980, Huang joined the University of Illinois at Urbana-Champaign (UIUC). He became a very special professor there in 1996, holding the William L. Everitt Distinguished Professor title. Later, in 2012, he received the Swanlund Chair, which is the highest honor for a professor at UIUC.
Even though he retired from teaching in December 2014, Thomas Huang continued to be an active researcher. He also helped start important journals like the International Journal of Computer Vision, Graphics and Image Processing. He organized the first big meetings for topics like picture coding and face recognition, which are now held regularly.
Amazing Research
Thomas Huang's research focused on creating new ideas and tools that could be used in many ways to process different kinds of information, like pictures, videos, and sounds.
- Image Processing: Early in his career, he found a way to test if two-dimensional filters were stable, which is important for processing images. He also worked on digital holography. At Purdue, he helped develop median filters, which are now a common way to remove unwanted "noise" from images.
- Image Compression: He worked on making image files smaller, which is called image compression. This helps save space and send images faster. He developed ways to compress documents by looking at how lines changed from one to the next.
- Super-Resolution: In 1984, Huang and his colleague Tsai found a way to combine several low-quality satellite images to create one much clearer, high-resolution image. This was a big step forward!
- Wavelets and Databases: He also explored wavelet methods for encoding images. This is important for finding specific images in large multimedia databases. It lets people search through smaller, encoded images instead of needing to look at every full-size picture.
- 3-D Modeling: Huang did important work on understanding how objects move in 3-D space from different pictures. This helped with compressing TV images and developing standards for how images are made. He also worked on creating 3-D models of human faces, hands, and bodies. This research was useful for video calls and even electronic games, allowing a computer to create a moving 3-D version of a person.
- Speech and Sound: Huang believed that processing images and sounds were similar. He worked on speech recognition and sound processing. He helped create a database of speech recorded in cars, which helps test speech recognition programs.
- Human-Computer Interaction: He was one of the first to combine sound and video to figure out how people were feeling when they interacted with computers. His team also worked on making it easier for humans to talk to computers using speech and gestures. This included hand tracking and gesture recognition, and using lip reading to make speech recognition more accurate.
- Mona Lisa Mystery: In a fun project, Huang's software was used to analyze the famous Mona Lisa painting. His software concluded that the portrait was indeed of a female and that her famous smile was more happy than sad!
- Modern Applications: Later in his career, Huang explored using supercomputers and big data for deep learning, which helps computers learn from huge amounts of information. His team even worked with an astronomer to train a computer to identify different types of galaxies in space.
Personal Life
Thomas Huang was married to Margaret Huang. They were married in 1959. Margaret passed away three months before Thomas.
Thomas Huang passed away peacefully in Indiana on April 25, 2020, at the age of 83.
Thomas and Margaret had four children: Caroline, Greg, Tom, and Marjorie.
Honors and Awards
Thomas Huang received many honors and awards for his important work.
Memberships
- He was a member of important academies, including the Chinese Academy of Sciences (2002), the Chinese Academy of Engineering (2001), and the United States National Academy of Engineering (2001).
- He was also a Fellow of many professional societies like SPIE, IAPR, Optical Society of America, and IEEE.
Awards
Some of his notable awards include:
- Azriel Rosenfeld Award (2011)
- Okawa Prize for Information and Telecommunications Technology (2005)
- King-Sun Fu Prize (2002)
- IEEE Jack S. Kilby Signal Processing Medal (2001)
- IEEE Signal Processing Society Award (1991)
- Guggenheim Fellow (1971–72)
Awards Named After Him
Thomas Huang guided more than 100 graduate students during his career. To honor his contributions as a researcher and a mentor, the Thomas and Margaret Huang Fund for Graduate Research was created in 2012. This fund helps support students studying Human-Computer Intelligent Interaction at the Beckman Institute.
