Short Bio of Edward Y. Chang
Edward Chang currently
serves as the President of Research and Healthcare (DeepQ)
at HTC. Ed's most notable work is co-leading the DeepQ project (with Prof.
CK Peng at Harvard), working with a team of
physicians, scientists, and engineers to design and develop mobile wireless
diagnostic instruments. Such instruments can help consumers make their own
reliable health diagnoses anywhere at any time. The project entered
the Tricorder XPRIZE competition in 2013
with 310 other entrants and was awarded second place in April 2017 with 1M
USD prize. The deep architecture that powers DeepQ is
also applied to power Vivepaper,
an AR product Ed's team launched in 2016 to support immersive augmented reality
experiences (for education, training, and entertainment).
Prior to his HTC post, Ed was a
director of Google Research for 6.5 years, leading research and development in
several areas including scalable machine learning, indoor localization, social
networking and search integration, and Web search (spam fighting). His
contributions in parallel machine learning algorithms and data-driven deep learning (US patents 8798375 and 9547914) are recognized through several keynote invitations
and the developed open-source
codes have been collectively downloaded over 30,000 times. His
work on IMU
calibration/fusion (US patents 8362949, 9135802, 9295027, 9383202, and 9625290) with project X was first deployed via Google Indoor
Maps (see XINX paper and
ASIST/ACM SIGIR/ICADL keynotes) and is now widely used on mobile phones and
VR/AR devices. Ed's team also developed the Google Q&A system (codename
Confucius), which was launched in over 60 countries.
Prior to Google, Ed was a full professor of Electrical Engineering
at the University of California, Santa Barbara (UCSB). He joined UCSB in 1999
after receiving his PhD from Stanford University, and was tenured in 2003 and
promoted to full professor in 2006. Ed has served on ACM (SIGMOD, KDD, MM,
CIKM), VLDB, IEEE, WWW, and SIAM conference program committees, and co-chaired
several conferences including MMM, ACM MM, ICDE, and WWW. He is a recipient of
the NSF Career Award, IBM Faculty Partnership Award, and Google Innovation
Award. He is also an IEEE Fellow for his contributions to scalable machine
learning.
In 2012, Ed published Nomadic
Eternity, a collection of his selected poetry work.