Christopher Brinton

 Christopher Brinton

Title

Assistant Professor 

Office

MSEE 342 

Office Phone

(765) 494-3538 

Email

Education

Doctor of Philosophy in Electrical Engineering, Princeton University, Princeton, NJ May 2016
Masters Degree in Electrical Engineering, Princeton University, Princeton, NJ May 2013
Bachelor of Science in Electrical Engineering, The College of New Jersey, Ewing, NJ May 2011 

Key Areas

Machine Learning, Artificial Intelligence 

Biography

My research is at the intersection of data science and networking. My group develops data-driven optimization methodologies for communication and social networks, with a particular emphasis on distributed edge intelligence. Contemporary network architectures we investigate include Fog computing systems, the Internet of Things (IoT), and social learning networks (SLN), and our foundational techniques include convex and non-convex optimization, machine learning, and signal processing. 

Coming Up!

Our annual security symposium has been postponed.
Purdue University, West Lafayette, IN

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