- Rachel A. Haga
- Research Engineer I
- Montgomery Knight Building270 Ferst DriveAtlanta, GA 30332United States
Rachel is an experienced professional researcher with over 7+ years working on system safety and human-automation interaction. Rachel works on interventions (such as training), decision support tools, and concepts of operations, to make human-automation interaction more harmonious to achieve better performance and safety as a team. She has worked on multiple projects for the FAA and ONR including building computational decision making simulations; designing, running, and analyzing human-subjects studies for NextGEN technologies, electronic flight bags, and degraded information environments; and, interviewing subject matter experts to incorporate contextual information. She has published extensively on these topics, including 6 journal articles, 9 conference papers, 4 technical reports, and a book chapter.
While earning my PhD in aerospace engineering, she has served as a Research Engineer 1 for 4+ years and her responsibilities encompassed all facets of project management including assisting in the proposal writing of my current projects with her PI, creating and actively managing the project budgets totaling over $500K (including allocation and oversight of salaries, materials, and travel spending) while also managing a total of 20 graduate students and 15 undergraduate students over her tenure.
- 2018 (exp) - Ph.D. Aerospace Engineering, Georgia Institute of Technology
- 2013 - M.S. Aerospace Engineering, Georgia Institute of Technology
- 2011 - B.S. Aerospace Engineering, Georgia Institute of Technology, Certificate in Social Psychology
- Research Engineer I, School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, Georgia (2013-Present)
- Graduate Teaching Assistant, School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, Georgia (2011-2013)
- Systems Engineer Intern, Advanced Development, Saab Sensis, East Syracuse, New York (Summers of 2011, 2012)
- Engineer Intern, Baldor Dodge Reliance, Athens, Georgia (Summers of 2007, 2008)
- Sigma Xi Best Undergraduate Research Award, 2011
Collision avoidance on large transport aircraft involves many components: Air Traffic Control (ATC), the pilot, and collision avoidance systems such as the Traffic alert and Collision Avoidance System (TCAS). This research explores pilots’ interactions with ATC, the environment, and current and future collision avoidance systems such as TCAS and systems using ADS-B, ACAS-X, and Interval Management.
Decision makers are consistently asked to make decisions about the course of action required to achieve mission success regardless of the time pressure and the quantity and quality of information available. To be successful, they will adapt their decision strategies to the environment and even use heuristics, simple rules that use little information and can be processed quickly. To support these decision makers, we are designing proactive decision support systems that support adaptive decision making along a range analytic and heuristic strategies.
Support improved decision making under high stress, uncertain operational conditions through the development of proactive, context-based decision support aids. The objective of this project is to create a scientifically-principled design specification and prototype concepts for a set of decision aids capable of supporting decision making and judgment across multi-faceted mission with dynamic tasking requirements.