Chih-Ming Ho

Dr. Chih-Ming Ho (Chinese: 何志明(; Pinyin: Hé Zhìmíng) holds the Ben Rich-Lockheed Martin Chair Professor at UCLA's Henry Samueli School of Engineering and Applied Science. He was the Director of the Center for Cell Control (a NIH supported center), and the Director of the Institute for Cell Mimetic Space Exploration (a NASA supported Insititute). He served as the UCLA Associate Vice Chancellor for Research from 2001-2005. He received his B.S. from National Taiwan University and his Ph.D. from The Johns Hopkins University. Dr. Ho served as a faculty member at University of Southern California from 1975 to 1991 before moving to UCLA.

He has served on advisory panels to provide assistance to many countries and regions, China, France, Hong Kong, Israel, Japan, Taiwan, Thailand, Singapore, Switzerland and the United Kingdom, on the development of micro/nano technologies. Dr. Ho also has served on editorship of professional journals and chaired numerous organizing committees of international conferences on high technology topics.

Honors

In 1997, Dr. Ho was inducted as a member of the US National Academy of Engineering, which is the highest honor bestowed to US engineers. In the next year, he was elected as an Academician of Academia Sinica, which honors scholars of Chinese origin with exceptional achievements in liberal arts and the sciences. Dr. Ho was elected Fellow of the American Physical Society as well as the American Institute of Aeronautics and Astronautics. Dr. Ho holds ten honorary professorships at various universities in the world.

Research and selected publications

Dr. Ho is known for his work in micro/nano fluidics, bio-nano technologies and turbulence. He has published 260 papers and is ranked by ISI as one of the top 250 most cited researchers worldwide in the entire engineering category. He has delivered 18 named distinguished lectures and presented over 130 keynote talks at international conferences.

References

Drug cocktail

[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12]

Bio-molecular sensor

[13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28]

  1. John Timmer (2008-03-18). "Effective drug combinations found using biased random walks". Ars Technica. Retrieved 2016-08-17.
  2. "Archived copy". Archived from the original on 2016-03-05. Retrieved 2009-07-29.</
  3. Nelson, Matt (2008-04-16). "Arizona Bioscientist: New Method Can Rapidly ID Optimal Drug Cocktails". Azbioscientist.blogspot.com. Retrieved 2016-08-17.
  4. "Researchers Develop Method to Rapidly ID Optimal Drug Cocktails". Dddmag.com. 2008-03-17. Retrieved 2016-08-17.
  5. "Researchers develop control system to rapidly ID best drug cocktails". Thaindian.com. 2008-03-18. Retrieved 2016-08-17.
  6. "Archived copy". Archived from the original on 2008-07-06. Retrieved 2009-07-29.
  7. "University of California Los Angeles UCLA Researchers Develop Method To Rapidly ID Optimal Drug Cocktails". Biospace.com. 2008-03-18. Retrieved 2016-08-17.
  8. "Researchers Develop Method to Rapidly Identify Optimal Drug Cocktails". Cancernews.com. Archived from the original on 2016-03-04. Retrieved 2016-08-17.
  9. Wong, Pak Kin; Yu, Fuqu; Shahangian, Arash; Cheng, Genhong; Sun, Ren; Ho, Chih-Ming (2008). "Closed-loop control of cellular functions using combinatory drugs guided by a stochastic search algorithm". Proceedings of the National Academy of Sciences. 105 (13): 5105–10. Bibcode:2008PNAS..105.5105W. doi:10.1073/pnas.0800823105. JSTOR 25461560. PMC 2278193Freely accessible. PMID 18356295.
  10. "Researchers develop control system to rapidly ID best drug cocktails". News.oneindia.in. 2008-03-18. Retrieved 2016-08-17.
  11. "Archived copy". Archived from the original on 2011-06-06. Retrieved 2009-07-29.
  12. "Archived copy". Archived from the original on 2009-07-14. Retrieved 2009-07-29.
  13. "Spit Sensor Spots Oral Cancer". Technologyreview.com. 2008-08-06. Retrieved 2016-08-17.
  14. Sauser, Brittany (2008-08-07). "Spit Sensor Spots Oral Cancer - ABC News". Abcnews.go.com. Retrieved 2016-08-17.
  15. "UCLA Team Develops Sensor for Detecting Protein Biomarkers in Saliva". GenomeWeb.com. Retrieved 2016-08-17.
  16. "Archived copy". Archived from the original on 2008-12-08. Retrieved 2009-07-29.
  17. "Archived copy". Archived from the original on 2008-10-14. Retrieved 2009-07-29.
  18. "Archived copy". Archived from the original on 2011-07-23. Retrieved 2009-07-29.</
  19. "Drug Free Workplace Solutions: New Oral Fluid Technology for Cancer Detection". Workplacedrugtesting.blogspot.com. 2008-08-12. Retrieved 2016-08-17.
  20. Tan, Winny; Sabet, Leyla; Li, Yang; Yu, Tianwei; Klokkevold, Perry R.; Wong, David T.; Ho, Chih-Ming (2008). "Optical protein sensor for detecting cancer markers in saliva". Biosensors and Bioelectronics. 24 (2): 266–71. doi:10.1016/j.bios.2008.03.037. PMC 2584973Freely accessible. PMID 18479906.
  21. "Archived copy". Archived from the original on 2011-07-14. Retrieved 2009-07-29.
  22. "Salivary diagnostics powered by nanotechnologies, proteomics and genomics" (PDF). Oralcancerfoundation.org. Retrieved 2016-08-17.
  23. "Salivary Sensor May Lead to New Bloodless Diagnostic Tests". Medgadget. Retrieved 2016-08-17.
  24. "Archived copy". Archived from the original on 2011-07-16. Retrieved 2009-07-29.
  25. "Oral Fluid Nanosensor Test (OFNASET) with Advanced Electrochemical-Based Molecular Analysis Platform - GAU - 2007 - Annals of the New York Academy of Sciences - Wiley Online Library". Interscience.wiley.com. 2007-04-02. Retrieved 2016-08-17.
  26. "Featured Articles | Dentalcompare: Top Products. Best Practices". Dentalcompare.com. Retrieved 2016-08-17.

MEMS/Fluidics

External links

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