- Lanssie Mingyue Ma
- Ph.D Candidate (CSE/AE)
- Montgomery Knight Building270 Ferst DriveAtlanta, GA 30332United States
- (408) 623-6753
Lanssie Ma is a fifth-year Ph.D. candidate in the Daniel Guggenheim School of Aerospace Engineering in Computational Science and Engineering. She received a B.A. in Computer Science from the University of California, Berkeley in 2014. She previously served as the Vice President of Internal Affairs in Georgia Tech Graduate Student Government Association 2016-2917 and was an active Senator in GSGA from 2015-2016.
Lanssie's interests span from Human Computing Interaction to wearable computing and exploratory outer space robotics. She currently explores function allocation in human-robot teaming through modeling and simulating space exploration scenarios to evaluate effective teamwork. She also enjoys painting, UI/UX design, hip hop dancing, and learning new languages. She is fluent in Mandarin Chinese and proficient in Japanese.
- Fine Arts/Design Portfolio: http://github.com/lanseafood/LanssieMaPortfolio
- M.S., Computational Science and Engineering, Georgia Institute of Technology, 2016.
- B.A. in Computer Science from the University of California, Berkeley, 2014.
- Undergraduate Research Assistant, Dr. John Canny, University of California, Berkeley, 2013 to 2014
- Undergraduate Research Assistant, Dr. Eric Paulos , University of California, Berkeley, 2014
- Platforms Software Engineering Intern, IBM/BigFix, Emeryville, CA., 2013 to 2014
- Software and Robotics Research Intern, NASA Ames, Mountain View, CA, 2017
- Mixed Reality Research Intern, Unity Technologies: Labs Group, San Francisco, 2017
Objective Function Allocation Method for Human-Automation/Robotic Interaction using Work Models that Compute
Future manned space missions will require astronauts to work with a variety of robotic systems. To develop effective human-robot teams, NASA needs objective methods for function allocation between humans and robots. This study develops an objective methodology for function allocation between humans and robots for future manned space missions. Some problems that need to be addressed in function allocation include: (a) monitoring of agents, (b) agents waiting on other agents (idle time), (c) high task load of agents, (d) excessive amount of communication required.
The most common causes of aircraft incidents and accidents today are pilot spatial disorientation and/or loss of energy situation awareness. To re-assess the underlying mechanisms of SD and/or LESA, we are building a computational model of human pilot. Having a computational model allows us to create fast-time simulations instead of relying on the real-time human-in-the-loop simulations. The purpose is to utilize this novel model for large-scale evaluations spanning wide range of potential conditions and variations in flight crew behavior.
The research aims to contribute to analyze human/automation roles and responsibilities. This work will provide scenario-based methods for validation and verification of current day and NextGen concepts of operation and automated forms supporting these concepts of operation.