- Workshop Objectives
- US Army AI Task Force – Dr. Douglas M. Matty, SES Director, Army Artificial Intelligence Capabilities
- AI and Systems Engineering: A MITRE Perspective – Dr. Peter Schwartz, The MITRE Corporation Principal Artificial Intelligence Engineer; AI Joint & Services Domain SME, AI & Autonomous Systems Department AI Domain Capability Area Lead, Army Programs Division
- CCDC Armaments Center Systems Engineering Directorate’s AI Initiatives – Mr. Roshan Patel, CCDC AC
- Establishing A Data Rich Decision Environment ASA (ALT)’s Vision for a Transformational Army – Ms. Jeannette Evans Morgis, SES Chief Systems Engineer, Office of the Assistant Secretary of the Army (Acquisition, Logistics and Technology)
- Isolate, Predict and Evaluate the Impact of New Technologies and Emerging Threat Sources from Human Groups and Cultural Sources Using a Natural Language Processing with a Predefined Cognitive Bias – Dr. Carlo Lipizzi, Stevens Institute of Technology
- Understanding Game Balance in Mosaic Warfare with Explainable Artificial Intelligence – Dr. Daniel DeLaurentis, Purdue University
- Adversarial Robustness of AI Models with Ensemble Diversity Optimizations – Dr. Margaret Loper, Georgia Tech Research Institute
- Houston: An Intelligent Requirements Advisor – Mr. Paul Wach, Virginia Tech
- Using AI/ML Approaches to Support Data Analysis Process Improvement – Mr. Austin Ruth, Georgia Tech Research Institute
- Mitigating Design Error Archetypes in the Development of Explainable Machine Learning (X ML) Systems – Dr. Lance Sherry, George Mason University
- Automated Detection of Architecture Patterns in MBSE Models – Mr. Matthew Cotter, The MITRE Corporation
- Artificial Intelligence Certification in Operational Environments – Mr. Tyler Cody, University of Virginia / Dr. Erin Lanus, Virginia Tech / Dr. Sachin Shetty, Old Dominion University
- Evolving Systems Engineering Methods for Artificial Intelligence and Machine Learning – Dr. Rosa Heckle, The MITRE Corporation
- Human Data Collection for Machine Learning and Artificial Intelligence Aid Development – Dr. Elizabeth Sibolboro Mezzacappa, CCDC AC
- Karat: A Visual Framework for Constructing Neural Networks – Mr. Frazier N. Baker, Georgia Tech Research Institute
- Collaborative Functional Design Using Explainable Machine Learning (X ML) – Dr. Lance Sherry, George Mason University
- Design of Digital Twin Architectures that support AI and Machine Learning Formalisms Working Side by Side as a Team – Dr. Mark Blackburn, Stevens Institute of Technology
- Human Machine Teaming elements of AI enabled Course of Action Wargaming – Dr. Cindy Dominguez and Ms. Patricia McDermott, The MITRE Corporation / Mr. Adam Brown, Parsons Corporation
- Automated Generation of Expert Systems Thinking Patterns using a Convolutional Neural Network – Mr. Ross Arnold, CCDC AC
