PeopleofSuperintelligence

Researcher

Chuan-Kang Ting

Also known as 丁川康

Chuan-Kang Ting is a computer scientist whose research applies evolutionary computation to music and wireless sensor networks. His degrees include a 1994 B.S. from National Chiao Tung University, a 1996 M.S. from National Tsing Hua University, and a 2005 computer science Ph.D. from the University of Paderborn. He was an associate professor at National Chung Cheng University by 2015 and coauthored an evolutionary music system in 2017 and a memetic algorithm for wireless sensor networks in 2018. He served as president of the Taiwanese Association for Artificial Intelligence in 2023–2024 and became an IEEE Fellow in 2026 for contributions to memetic computing and evolutionary music composition. As of October 2026, he is a professor in the Department of Computer Science at National Tsing Hua University.

Works
122
Citations
1,838
h-index
21

Publication numbers from OpenAlex, as of 19 October 2026.

Timeline

  1. 1994–2005

    Degrees in Taiwan and Germany

    He earns a B.S. from National Chiao Tung University in 1994, an M.S. from National Tsing Hua University in 1996, and a Ph.D. from the University of Paderborn in 2005.

  2. 2015–2017

    Associate professor and music system

    By 2015, he is an Associate Professor in the Department of Computer Science and Information Engineering at National Chung Cheng University. In 2017, he coauthors an automatic composition system using an evolutionary algorithm and phrase imitation.

  3. 2018

    A memetic algorithm for networks

    In 2018, he publishes a memetic algorithm for the set k-cover problem in wireless sensor networks.

  4. 2019

    Two AI and art awards

    In 2019, he receives the TAAI Excellent Paper Award and the first place prize in the CTCI Foundation AI Creativity Competition: AI and Art.

  5. 2023–2024

    Leading Taiwan’s AI association

    He serves as President of the Taiwanese Association for Artificial Intelligence in 2023–2024.

  6. 2025

    Tokenizing evolutionary music

    In 2025, he coauthors a CEC paper on evolutionary music composition using a tokenized representation based on byte pair encoding.

  7. 2026

    An IEEE Fellowship

    In 2026, IEEE names him a Fellow for contributions to memetic computing and evolutionary music composition.

  8. As of October 2026

    Professor at Tsing Hua

    He is a professor in the Department of Computer Science at National Tsing Hua University.

Career

  1. Since 2018National Tsing Hua UniversityProfessor
  2. 2023–2024Taiwanese Association for Artificial IntelligencePresident
  3. 2015–2018National Chung Cheng UniversityAssociate Professor

Education

  1. 2005University of PaderbornPh.D.
  2. 1996National Tsing Hua UniversityM.S.
  3. 1994National Chiao Tung UniversityB.S.

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

Most-cited works

  1. Evolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results2017 · 151 citationsWith Xin Yao
  2. Parting ways and reallocating resources in evolutionary multitasking2017 · IEEE Congress on Evolutionary Computation (CEC) · 114 citations
  3. An effective genetic algorithm to improve wireless sensor network lifetime for large-scale surveillance applications2007 · IEEE Congress on Evolutionary Computation (CEC) · 106 citations
  4. Evolutionary many-tasking based on biocoenosis through symbiosis: A framework and benchmark problems2017 · IEEE Congress on Evolutionary Computation (CEC) · 104 citations
  5. A memetic algorithm for extending wireless sensor network lifetime2010 · Information Sciences · 92 citations

From OpenAlex, as of 19 October 2026.

  1. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes National Tsing Hua University. Our estimates of where the people shaping AI studied and where their careers led, from education records in cited biographies.
  2. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI from 1961 to 2025, with a year-by-year chart.
  3. The United States employs an estimated 53% of people in our data with a known employment countryOur estimates of where AI careers are concentrated now and how countries’ shares of dated positions changed over time.
  4. 47% of living people in our data with known birth and employment countries work outside their birth countryOur estimate of cross-border careers in AI, from country of birth and the country of each current organization.

Sources and credits

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  1. IEEE Computational Intelligence Society: Call for Papers WCCI 2016 Special Session on "When Evolutionary Computation Meets Data Mining" ieee-cis.blogspot.com. Checked 19 October 2026.
  2. Prof. Dr. rer. nat. Chuan-Kang TING mx.nthu.edu.tw. Checked 19 October 2026.
  3. Congratulations to Prof. Chuan-Kang Ting from the Department of Computer Science on being named an IEEE Fellow for 2026. eecs-en.site.nthu.edu.tw. Checked 19 October 2026.
  4. IEEE Fellow – 國際電機電子工程師學會中華民國分會 ieee.org.tw. Checked 19 October 2026.
  5. Chuan-Kang Ting bai.site.nthu.edu.tw. Checked 19 October 2026.