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Conference on Systems Engineering Research (CSER) 2019
Wednesday, April 3, 2019 - Thursday, April 4, 2019

Stevens Institute of Technology and Virginia Tech present the 17th Annual Conference on Systems Engineering Research (CSER). CSER has become the primary conference for disseminating systems engineering research and germinating new research ideas. Its primary objective is to provide a common platform for academia, industry, and government to present, discuss, and influence systems engineering research, practice, and education. Current and perspective doctoral students are invited to attend the Systems Engineering & Architecting Network for Research (SEANET) workshop on April 2, 2019. Research challenges and strategies for success in graduate research will be discussed.
INVITED SPEAKERS:

James A. Faist
Director of Defense Research and Engineering for Advanced Capabilities
Office of the Secretary of Defense

Jeffrey J. Wilcox
Vice President, Digital Transformation
Lockheed Martin

Kristen Baldwin
Deputy Director, Strategic Technology Protection and Exploitation
Office of the Secretary of Defense

CAPT. (Ret.) William Shepherd
Captain, US Navy, NASA Astronaut, Science Advisor, US Special Operations Command
Panel
CSER 2019 will feature the following panel:
Panel on Systems Engineering Research (Former NSF Program Directors)
- Dr. Christina Bloebaum – Dean, College of Aeronautics and Engineering – Kent State University
- Dr. Paul Collopy – Professor – University of Alabama in Huntsville
- Dr. Chris Paredis – BMW Endowed Chair, Systems Integration – Clemson University
- Dr. Rich Malak – Associate Professor – Texas A&M
Technical Sessions
Technical sessions will be distributed among the traditional activities of systems engineering, with special emphasis on applications to the following areas:
- System Security
- Model Based Engineering
- Agile Development and Modular Designs
- SE for Autonomous Systems and Leveraging AI and ML
- Resilience Modeling and System Trust
- Design Uncertainty and Quantitative Risk Modeling
- Complexity Modeling and Assessment
- Theoretical Insights for Systems Engineering