Mr. Jeffrey Chavis

Information Systems Engineering

Current Courses

Personal Bio

Mr. Jeffrey Chavis is a Member of Principal Professional Staff at The Johns Hopkins University Applied Physics Laboratory and currently serves as the Chief Engineer for the Applied Data Science Branch at JHUAPL. He leads the development and application of advanced data science analytical techniques to provide data driven insights to solve problems in various domains including cyber security, the Internet of Things, disease prediction, Artificial Intelligence, and others.

Mr. Chavis teaches graduate courses in the Johns Hopkins University Whiting School of Engineering in Software Engineering and Information Systems Engineering. He is a senior member of IEEE and was recognized as the Black Engineer of the Year for Professional Achievement by the Career Communications Magazine in 2016.

Mr. Chavis holds a Bachelor’s degree in Electrical Engineering from Howard University, and a Master's degree in Electrical Engineering from the University of Maryland, College Park. He is currently working on his Doctor of Engineering Degree at Johns Hopkins University.

Education History

  • BSEE Electrical Engineering, Howard University
  • MSEE Electrical Engineering, University of Maryland

Work Experience

Principal Professional Staff, JHU Applied Physics Laboratory


Sensor-based adaptive wearable devices and methods
T Gao, J Chavis, WE Bishop, RR Juang, AM Alm, DM White, DA Crawford; US Patent 7,629,881 2009

Sensor-Based Adaptive Methods for Wearable Devices
T Gao, AM Alm, SM Babin, JS Chavis; US Patent App. 12/632,890 2010

Detection of tunnels in PCAP data by random forests
AL Buczak, PA Hanke, GJ Cancro, MK Toma, LA Watkins, JS Chavis; Proceedings of the 11th Annual Cyber and Information Security Research 2016

A survey of deep learning methods for cyber security
DS Berman, AL Buczak, JS Chavis, CL Corbett
Information 2019

Using sequential pattern mining for common event format (CEF) cyber data
AL Buczak, DS Berman, SW Yen, LA Watkins, LT Duong, JS Chavis; Proceedings of the 12th annual conference on cyber and information security 2017

Unsupervised Machine Learning by Graph Analytics on Heterogeneous Network Device Data; JS Lin, E Guven, LT Duong, JS Chavis, MD Dinmore, PA Hanke, BG Magen; Procedia Computer Science 140, 144-151 2016

Honors and Awards

  • Black Engineer of the Year - Professional Achievement in Industry (2016)

Professional Organizations