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:

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 2019) 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 2019) (including 15 books, 50 book chapters, 100 journal papers (>30 IEEE Transactions journal papers), many conference papers, theses, and dissertations).

Graduated 12 PhD students so far (by 2019). 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,
 
 
(Website updated in May 2019)