Whom
is Dr. Who (the same pronunciation as my last name - "Hu")?Hi, how are you? My name is Fei Hu. I am currently a professor in the department of Electrical and Computer Engineering department at the University of Alabama (UA). Here is my brief professional experience:
2021 April , won President's Faculty Research Award (each year UA awards 9 out of >2000 faculty)
2015 - now , Professor, ECE, UA
2008-2015 , Associate Professor, ECE, UA
2002-2008 , Assistant Professor, CE, RIT (New York state)
In 2002, PhD from ECE, Clarkson University (New York state)
In 1999, PhD from Tongji University (China)
Career
Outcomes 
Won
>10 NSF awards so far (by Year 2021) and over 15 other research grants (from
DoE, DoD, etc.). A total of ~$10M research grants as PI or co-PI. Published >220 papers
so far (by Year 2021) (including 15 books, 50 book chapters, 120 journal
papers (>50 IEEE Transactions journal papers), many conference papers,
theses, and dissertations).
Graduated 20 PhD students
so far (by 2021). About half of them are now faculty in universties, and
half are in industry.
My
Research Wireless
Networks: I like wireless communications, such as 5G, 6G, etc.
My recent projects are about UAV swarming communication networks. I also
like to use wireless to connect sensors. Sensors are like human's skin.
Without them we won't feel anything in this world. But how do we design
low-power, high-precision, low-cost micro-sensors for different sensing
requirements (such as medical signal collection, human intrusion detection,
themal and acoustic signals, gulf oil leaking, etc.)? Moreover, human's
skin is an integrated system, that is, all neuro-sensors are connected to
a biological network. Then for environment monitoring sensors, how do we
perform in-network distributed signal processing across a large-scale "sensor
network"? Artificial
Intelligence : I
like machine learning and artificial intelligence. In my recent NSF and
DoD projects I have put significant research efforts in intelligent sensor
architecture and intelligent sensor signal processing. I especially enjoy
studing variational Bayesian, Manifold, Information Geometry, Semi-supervised
Learning, reinforced learning, non-parametric Bayesian inference, etc. Big
Data : I am interested
in big data analysis via scalable mahcine learning methods, big data transmission
in wireless networks, and big data security/privacy issues. Cyber
Security : I have
strong interest in network security, big data security, etc,