UGM Summer 2019
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Director, Army Artifical Intelligence
Army Futures Command
Brigadier General Matthew Easley assumed his responsibilities as the Director of Army Artificial Intelligence (AI) in the National Capital Region within Army Futures Command in September 2018. In this position he leverages and integrates current and future operational AI efforts, as well as AI research and development efforts Army-wide, aligns Army AI efforts with sister services and with the Joint AI Center (JAIC), ensures incorporation of industry and academic cutting edge advancements in support of Army modernization, and institutes agile delivery of AI capabilities across all domains. BG Easley also oversees machine learning, neural networks, big data analytics, deep learning, computer vision, and natural language processing.
BG Easley's previous command and operational assignments include Deputy Commanding General – Cyber, 335th Signal Command (Theater), East Point, Georgia; Chief of Staff, 335th Signal Command (Theater) Forward, Camp Arifjan, Kuwait; Commander, 505th Theater Tactical Signal Brigade, Las Vegas, Nevada; Commander, 319th Expeditionary Signal Battalion, Sacramento, California & Camp Buehring, Kuwait; Area Coordinator/ Instructor, 11th Battalion (Intermediate Level Education), Boise, Idaho; Telecommunications Chief, G6, 91st Division (Training Support), Dublin, California; and Signal Team Chief, 3-361st Training Support Battalion, 2nd Brigade, Denver, Colorado. He also had assignments with 1st Infantry Division at Ft. Riley, Kansas and with the 22nd Signal Brigade under V Corps in Germany.
His military education includes the Jungle Warfare School, the Signal Officer Basic and Advanced Courses, the Combined Arms and Services Staff School, the Command and General Staff College, the Defense Strategy Course, the Joint and Coalitional Warfighting School, and the ArmyWar College.
BG Easley received his commission from the U.S. Military Academy, where he earned a bachelor's degree in Electrical Engineering and Engineering Physics. He holds master's degrees in Electrical Engineering from Kansas State University, Computer Science from the University of Colorado, and Strategic Studies from the ArmyWar College, and a doctorate degree in Computer Science from the University of Colorado, Boulder.
Director, Information Technology Laboratory
U.S. Army Engineer Research and Development Center
Dr. David A. Horner is the Director of the Information Technology Laboratory (ITL) at the U.S Army Engineer and Research Development Center (ERDC), U.S. Army Corps of Engineers (USACE), Vicksburg, Mississippi.
The ERDC consists of seven laboratories located in four states, with more than 2,100 employees, $1.2 billion in facilities, and a $1 billion annual program. Its research and development (R&D) programs support the Department of Defense (DOD), the Army, USACE and other agencies in military and civilian mission areas. Principal ERDC R&D areas include Military Engineering, Geospatial Research and Engineering, Civil Works and Water Resources, Environmental Quality and Installations, and Engineered Resilient Systems.
As the ITL Director, Dr. Horner provides leadership in the development and execution of a broad range of R&D and operational programs on behalf of the USACE, the Army, the Department of Defense (DOD), and other federal agencies focused in computational science, information science, information technology, high-performance computing, high-bandwidth communications and data transfer, geographic information systems, software engineering, and scientific visualization. Additionally, the ITL operates and manages the DOD High Performance Computing Modernization Program (HPCMP) one of the five DOD Supercomputing Resource Centers.
Prior to assuming his current position, Dr. Horner served as the Director of the HPCMP, which is a multi-Service/Agency program that provides an enabling high-performance computing ecosystem to the DOD Science and Technology, Test and Evaluation, and Acquisition Engineering communities. The program provides supercomputing solutions, high-speed networking via the Defense Research and Engineering Network, and advanced software development and refactoring to help DOD researchers address the DOD's and Services' mission critical priorities.
Dr. Horner began his career at ERDC in 1984 as a civil engineer in the Dam Safety Branch of the U.S. Army Corps of Engineers, Tulsa District, a position he held for two years before transferring to the Geotechnical and Structures Laboratory (GSL). While at GSL, he served as the Lead Technical Director for the Military Engineering Program where he was promoted to Senior Scientific Technical Manager. He transitioned to ITL in 2015 as the Director of the HPCMP until he was appointed the Director of ITL in May 2018.
He earned a bachelor's in civil engineering from Oklahoma State University in 1983. He then earned his master's in civil engineering from Oklahoma State University in 1984, and a doctorate in the same from the University of Michigan in 1989.
Dr. Horner is a past recipient of the Department of the Army Meritorious Civilian Service Award, the Army Engineer Association's Bronze Order of the de Fleury Medal and the Society of American Military Engineers Wheeler Medal. He is also a licensed Professional Engineer in the state of Mississippi, and has also authored more than 50 publications, including a report for the Secretary of Defense.
Director, DoD High Performance Computing Modernization Program
Information Techology Laboratory
U.S. Army Engineer Research and Development Center
Dr. Will McMahon is the Director of the Department of Defense (DoD) High Performance Computing Modernization Program (HPCMP) at the U.S. Army Engineer Research and Development Center (ERDC) in Vicksburg, Mississippi. The HPCMP provides the supercomputing capabilities, high-speed network communications, software applications, and high performance computing expertise to the DoD Science and Technology, test and evaluation and acquisition engineering communities, enabling scientists and engineers to solve the DoD's most mission-critical challenges.
Prior to joining HPCMP, Dr. McMahon was the Chief of the Engineering Systems and Materials Division (ESMD), Geotechnical and Structures Laboratory (GSL), ERDC. Dr. McMahon also served as the acting Deputy Director, GSL, and as Chief of the Structural Mechanics Branch, Geosciences and Structures Division, GSL.
Dr. McMahon began his career in 1982 as a researcher in the Structures Laboratory of, what was formerly known as, the Waterways Experiment Station working on problems in military engineering. In his over 30 year career, he has managed research across a wide range of military engineering and civil works technical areas including explosive storage safety, hard target defeat, critical infrastructure protection, risk and vulnerability analysis, serving customers across the Army, U.S. Army Corps of Engineers, DoD, Department of Homeland Security and other government agencies.
Dr. McMahon has a bachelor's and master's degree in Civil Engineering, both from Mississippi State University. He received his doctorate in Civil Engineering from the University of Illinois at Urbana-Champaign.
Dr. McMahon has received numerous awards, the most recent being a 2018 Meritorious Civilian Service Award, 2018 and 2015 ERDC Award for Excellence in Operational Support and a 2014 RDC Award for Outstanding Achievement in Equal Employment Opportunity. He has authored and co-authored numerous technical publications.
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Brigadier General Matthew Easley:
Resonant HPCMP Solutions for Cyber and Machine Learning
Singularity Development Tips
Turbulence Modeling via Machine Learned Physics
*Acoustic Detection of IED
Deep Reinforcement Learning with PyTorch and the Unity ML Agents
Evaluation of Distributed Deep Learning Frameworks for HPC
Quantum Computing, Programming, and IBM's Qiskit: An Introduction
*CREATE-RF Status and Plans
Parallel Reduced Order Models for Penetrating Weapon Design and Operational Support
Geometry-based High-order Unstructured Methods for Three-dimensional Structural-acoustics Problems
Data Analytics for Smaller Haystacks (DASH)
James Ezick and John Feo:
MADHAT: Multidimensional Anomaly Detection fusing HPC, Analytics, and Tensors
Technology Innovation for Acceleration of Large-scale Graph Analysis
Training and Testing AI for Off-road Autonomous Navigation
Machine Learning Applied to Cybersecurity Logs Using HPC
Large-scale DEM-LBM Modeling Towards Off-road Mobility
*Ensemble Seismic Analysis of Propagation from Tunneling Sources in Synthesized Urban Terrain
Utilizing Heterogeneous Cloud and Virtualization Resources to Expand the HPC Ecosystem
Optimizing Graph-based Machine Learning Algorithms with Simple OpenMP
Lessons Learned on Deploying Continuous Integration Framework on HPCMP Systems
*A Library of Scalable, Massively Parallel, Multi-Level Iterative Solvers
Dr. Richard Loft:
Science 3.0: Combining Machine Learning and Numerical Modeling to Transform Atmospheric Science
Machine Learning in Computational Fluid Dynamics
Advances in ParaView Catalyst and Rendering
Scaling to 40,000 Core Interactive HPC Jobs for Machine Learning, Data Analysis, and Simulation
Kevin Roe and Raphael Pascual:
Multi-GPU FFT Performance on Different Hardware Configurations
Enabling the Foundations of AI: Data, Compute and Algorithms
Discoverability of the DoD Nuclear Testing Archives
Chung-Jen Tam and Edwin Ahn:
*Impact of Engagement Scenarios on an Airborne Laser System
PerfPAL: Towards User-friendly Performance Analysis of HPC Applications
Data Analytics Quick Start with iLauncher
Migrating Existing Software to a Big Data Processor-in-Storage Model: A Case Study
Timothy Whitcomb and Daniel Arevalo:
Evaluating Commercial Distributed Computing for Numerical Weather Prediction
Computational Challenges in Battlefield Acoustics
Machine-learned Potentials for Complex Alloy Systems