Abstracts

The abstract submission site has now closed.  Should you have any questions regarding your submission or if you want to discuss the possibility of submitting an abstract for the wait list, please direct your questions to Daniel Lung at dlung@ndia.org.

This event is designed to feature the latest technologies, tools, and research developments that will strengthen and sustain the warfighter.

We are seeking contributions that will facilitate a discussion regarding the future technology areas that will enable effective, affordable capabilities for the warfighter that ensure success on the battlefield and beyond.

Please note: Unless otherwise noted, presenters are responsible for their own travel and hotel arrangements and associated costs. Registration for the conference is not included with an accepted proposal. 

The theme of the conference is: Operationalizing the Technical Advantage. Please keep this in mind as you submit your abstracts. 

Conference Focus Areas

Agile Spectrum Applications: Abstracts should feature research or technology that demonstrates applications of technologies to optimize spectrum use by adapting to current channel conditions, user requirements, network traffic, regional and time sensitive requirements, and user priorities.

Artificial Intelligence: Abstracts should feature research or technology that allows computers and machines to function in an intelligent manner in areas to include reasoning, knowledge, planning, learning, natural language processing, perception, and control of moving objects.

Augmented Reality: Abstracts should feature research or technology that demonstrates the applications of bringing components of the “virtual” information-space world into a person's perceived real world.

Autonomous Systems: Abstracts should feature research or technology that demonstrates applications of autonomous system technologies to develop platforms capable of sensing the environment, operating for extended periods without human intervention, maneuver through the operating environment without human assistance, avoiding harmful situations, and adapting to changing surroundings.

Cyber-Electronic Warfare Applications: Abstracts should feature research or technology that demonstrates applications of technologies to protect, control, and exploit networked electronic systems through the integrated employment of electromagnetic spectrum ops and cyber operations.

Cyber-Human Interfaces: Abstracts should feature research or technology that simplify the operation and control of equipment and provide information to aid the operators' decision-making process.

Data Analytics and Algorithms: Abstracts should feature research or technology that demonstrates military applications of data analysis processes that inspect, clean, transform, and model data to discover useful information, suggest possible conclusions, and support decision-making.

Decision Support Systems: Abstracts should feature research or technology that demonstrates the applications of interactive software-based systems designed to help decision makers compile useful information from a combination of raw data, documents, personal knowledge, and enterprise models to identify and solve problems and make decisions.

Execution and Battle Management: Abstracts should feature research or technology that demonstrates applications of computing and networking technologies to provide commanders, staffs, and field units situation understanding and analysis, course of action development and evaluation, planning automation, force application management, force direction, and reporting.

Human Assistance Systems: Abstracts should feature research or technology that can be used to automate, adapt, or enhance systems to increase safety, reduce workload, and improve human effectiveness.

Machine Learning: Abstracts should feature research or technology that demonstrates the applications of using algorithms that can learn from and make predictions on data through approaches such as decision tree learning, association rule learning, artificial neural networks, deep learning, inductive logic programming, clustering, and Bayesian networks.

Physical System Replication/Digital Twin: Abstracts should feature research or technology that demonstrates modeling approaches to replicate physical systems using computer models for purposes of testing, diagnosing system issues, and developing corrective actions for system problems.

Virtual Training Systems: Abstracts should feature research or technology that demonstrates emerging technologies and innovative learning approaches to train tomorrow’s warfighter using virtual and constructive training systems.

Abstracts

Individuals are required to submit a concise abstract of 5000 characters or less by December 14, 2018. Authors will be notified whether their abstract has been accepted in early January 2019.

Please upload your abstract via the NDIA website here and complete ALL required information. All abstracts must be submitted electronically in accordance with specific instructions as outlined in the submission guidelines section below.

Submission Guidelines

The deadline for submitting a detailed abstract (5000 characters or less) is December 14, 2018. Any abstracts submitted after the deadline will NOT be considered for review. Presenters will be notified whether or not their abstract has been selected in early January 2019.

1. Abstracts must be UNCLASSIFIED and cleared for Distribution A.
2. Abstracts must be submitted in English. Potential panel presenters must be fluent in English.
3. Abstracts should include the below information:

• Purpose - What is the aim of the research or technology to be presented in a panel session or demonstration?
• Theme - How does the research or technology relate to the theme and focus area(s) of the symposium?
• Design/Methodology/Approach - How were the research or technology objectives achieved? Include a discussion on the research or design analysis and the primary methodology used.
• Findings - What are the overall research or technology findings?
• Practical Applications - What are the practical applications of the research or technology? What changes to existing practice might be made as a result of this research or technology?
• Original Value - What unique findings will be conveyed through the research or technology?

Questions

For any inquiries regarding call for abstracts and the conference program, please contact: Daniel Lung at dlung@ndia.org.