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Andrew Hall

Andrew Hall

Colonel Andrew Hall

Director of the Army Cyber Institute at the United States Military Academy

Colonel Andrew O. Hall is the Director of the Army Cyber Institute at the United States Military Academy (USMA) located at West Point, New York. In his position as Director, Colonel Hall leads a 53 person multi-disciplinary research institute and serves as the Chairman of the Editorial Board for The Cyber Defense Review journal; and Conference Co-Chair for the International Conference on Cyber Conflict U.S. (CyCon U.S.). He has a B.S. in Computer Science from the USMA, an M.S. in Applied Mathematics from the Naval Postgraduate School, and a Ph.D. in Management Science from the University of Maryland. Colonel Hall additionally teaches in the Department of Mathematical Sciences and the Department of Electrical Engineering and Computer Science at the USMA. Since 1997, Colonel Hall’s military career has been focused on operations research and solving the Army’s most challenging problems using advanced analytic methods. Colonel Hall also serves as the President of the Military Applications Society of the Institute for Operations Research and the Management Sciences. His research interests include Military Operations Research, Cyber Education, Manpower Planning, and Mathematical Finance.

Track: Security

Tuesday, April 16, 11:30am–12:20pm

Stochastic Goal Programming to Optimize Army Cyber Branch Readiness and Manning Under Uncertainty

The Department of Defense (DoD) Cyber Mission Force (CMF) was established in 2012 to carry out DoD’s cyber missions. The CMF consists of cyber operators with the mission to augment traditional defensive measures and defend priority DoD networks and systems against priority threats; defend the US and its interests against cyberattacks of significant consequence; and support combatant commands by generating integrated cyberspace effects in support of operational plans and contingency operations.

Given the unique expertise required of military personnel to execute the DoD cyber mission, the US Army created the Army Cyber Branch (ACB) to establish managed career fields for Army cyber warriors, while providing a force structure with successive opportunities for career development and talent management via leadership and broadening positions, technical training, and advanced education. In order to optimize readiness and manning levels across the Army’s operating and generating forces, the Army Cyber Proponent (Office Chief of Cyber) at the Cyber Center of Excellence sought analytical decision-support to project the optimal number of accessions, promotions and personnel inventory for each cyber specialty across the Army cyber enterprise needed to support a 30-year career life cycle.

We proffer the Stochastic Cyber Force Manning Model (S-CFMM), an advanced analytics framework that uses a stochastic goal programming approach to enable the modeling, experimentation and optimization necessary to help solve the Army’s Cyber Workforce Planning Problem. The stochastic, multi-objective optimization variant of the CFMM provides tremendous value by enabling useful decision-support to senior cyber leaders and force management technicians, while optimizing ACB readiness by effectively projecting the optimal number of personnel needed to meet the demands of the current force structure under conditions of uncertainty in personnel retention.