Tony Jun Huang
Professor Huang in 2014
Tony Jun Huang is the William Bevan Distinguished Professor of Mechanical Engineering and Materials Science at Duke University.
Huang is an expert in the fields of acoustofluidics, optofluidics, and micro/nano systems for biomedical diagnostics and therapeutics.He is widely recognized for his breakthroughs in developing acoustic tweezer technologies to manipulate nanoparticles (such as exosomes), cells and microorganisms in complex biofluids and applying acoustic tweezer technologies to various fields in biology and medicine.
Prior to joining Duke, Huang was the Huck Distinguished Chair in Bioengineering Science and Mechanics at Penn State.He received his Ph.D. degree in Mechanical and Aerospace Engineering from the UCLA, and earned undergraduate and master's degrees at Xi'an Jiaotong University.
Huang has authored/co-authored over 240 peer-reviewed journal publications in these fields.His journal articles have been cited more than 20,000 times, as documented at Google Scholar (h-index: 77). He also has 26 issued or pending US/international patents. Prof. Huang has been distinguished by being elected as a fellow of the following seven professional societies: the American Association for the Advancement of Science (AAAS), the American Institute for Medical and Biological Engineering (AIMBE), the American Society of Mechanical Engineers (ASME), the Institute of Electrical and Electronics Engineers (IEEE), the Institute of Physics (IOP), , the Royal Society of Chemistry (RSC), and the National Academy of Inventors (NAI).
Huang's research has received the 2010 National Institutes of Health (NIH) Director's New Innovator Award, a 2011 Penn State Engineering Alumni Society Outstanding Research Award, 2011&2013&2016 JALA Top Ten Breakthroughs of the Year Award, a 2012 Outstanding Young Manufacturing Engineer Award from the Society for Manufacturing Engineering, a 2013 Faculty Scholar Medal from Pennsylvania State University, a 2013 American Asthma Foundation (AAF) Scholar Award, the 2014 IEEE Sensors Council Technical Achievement Award from the Institute of Electrical and Electronics Engineers (IEEE), the 2017 Analytical Chemistry Young Innovator Award from the American Chemical Society (ACS), the 2019 Van C. Mow Medal from the American Society of Mechanical Engineers (ASME), and the 2019 Technical Achievement Award from the IEEE Engineering in Medicine and Biology Society (EMBS).
Digital microfluidics (DMF) is another platform for lab-on-a-chip systems that is based upon the manipulation of microdroplets. Droplets are dispensed, moved, stored, mixed, reacted, or analyzed on a platform with a set of insulated electrodes. Digital microfluidics can be used together with analytical analysis procedures such as mass spectrometry, colorimetry, electrochemical, and electrochemiluminescense.
The American Society of Mechanical Engineers (ASME) is an American professional association that, in its own words, "promotes the art, science, and practice of multidisciplinary engineering and allied sciences around the globe" via "continuing education, training and professional development, codes and standards, research, conferences and publications, government relations, and other forms of outreach." ASME is thus an engineering society, a standards organization, a research and development organization, an advocacy organization, a provider of training and education, and a nonprofit organization. Founded as an engineering society focused on mechanical engineering in North America, ASME is today multidisciplinary and global.
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Acoustic tweezers are used to manipulate the position and movement of very small objects with sound waves. Strictly speaking, only single-beam based configuration can be called acoustical tweezers. Generally speaking, the broad concept of acoustical tweezers involves two configurations of beams: single beam and standing waves. The technology works by controlling the position of acoustic pressure nodes that draw objects to specific locations of a standing acoustic field. The target object must be considerably smaller than the wavelength of sound used, and the technology is typically used to manipulate microscopic particles.
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