Chih-Ming Ho

Chih-Ming Ho (何志明) is an engineering professor in interdisciplinary fields, which span from aerodynamics to AI-medicine[1]. He received a B.S. in Mechanical Engineering from National Taiwan University in 1967 and a Ph.D. in Mechanics and Material Sciences from Johns Hopkins University in 1974.

In 1997, Ho was elected as a member of the National Academy of Engineering for contributions to the understanding and control of turbulent flows. Provided by Wikipedia
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  1. 1
    The Impact of Subtype Distribution, Viral Loads Disparity and Physical Status of Human Papillomavirus on the Carcinogenesis of Cervical Cancer in Taiwanese Women
    by Chih-Ming Ho, 何志明
    Published 2008
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  2. 2
    Study on the Key Factors Affecting the House Purchase Behavior of Taipei
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  3. 3
    Fabrication of High Contrast Light Valves Based On Electrowetting of The Liquid Metal
    by Chih-Ming Ho, 何志銘
    Published 2009
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  4. 4
    When Medicine Meets Engineering—Paradigm Shifts in Diagnostics and Therapeutics
    by Aleidy Silva, Hann Wang, Chih-Ming Ho
    Published 2013-02-01
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  5. 5
    Atypical lipomatous tumors of the vulva
    by Chih-Chien Cheng, Chih-Ming Ho, Chih-Yi Liu
    Published 2011-09-01
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  6. 6
    Pathogenesis and New Therapeutic Targets of Ovarian Cancer
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  7. 7
    Directing three-dimensional multicellular morphogenesis by self-organization of vascular mesenchymal cells in hyaluronic acid hydrogels
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  8. 8
    Control of Kaposi's sarcoma-associated herpesvirus reactivation induced by multiple signals.
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  9. 9
    New primers for methylation-specific polymerase chain reaction enhance specificity of detecting STAT1 methylation
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  10. 10
    Optimizing Combinations of Flavonoids Deriving from Astragali Radix in Activating the Regulatory Element of Erythropoietin by a Feedback System Control Scheme
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  11. 11
    Ultra-rapid near universal TB drug regimen identified via parabolic response surface platform cures mice of both conventional and high susceptibility.
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  12. 12
    Drug regimens identified and optimized by output-driven platform markedly reduce tuberculosis treatment time
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  13. 13
    Artificial intelligence enabled parabolic response surface platform identifies ultra-rapid near-universal TB drug treatment regimens comprising approved drugs.
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