Conference Session

Aerospace Division (AERO) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ashley Habig, Purdue University ; Caroline K. Marete, Purdue University ; Debra Henneberry, Purdue University ; Cheng Wang, Minnesota State University, Mankato

Tagged Topics

Diversity

Tagged Divisions

Aerospace Division (AERO)

choices. Firstly, a fundamental factor that contributes to prior experience is individuals’ deep-seated passion for flight and aviation. Several studies found that this passion often develops at ayoung age and serves as a primary motivator for individuals to pursue aviation education [11],[6], [12]. One study of professional female pilots found that their decision to pursue a career inaviation happened at 18.2 years of age [14]. A replication study done with graduates from acollegiate aviation program found this number to be 15.2 years of age [15]. This underscores theimportance of creating an interest in aviation at an earlier age if students are to enroll in acollegiate aviation program prior to entering the workforce. In addition

Conference Session

Aerospace Division (AERO) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Mollie Johnson, Massachusetts Institute of Technology; Rea Lavi, Massachusetts Institute of Technology; Olivier Ladislas de Weck, Massachusetts Institute of Technology; Prabhat Hajela, Rensselaer Polytechnic Institute; Luca Carlone, Massachusetts Institute of Technology; Siyi Hu, Massachusetts Institute of Technology; Marcus Abate, Massachusetts Institute of Technology; Zeyad Awwad, Massachusetts Institute of Technology; Yun Chang, Massachusetts Institute of Technology

Tagged Divisions

Aerospace Division (AERO)

Career Award (2020), the Sloan Research Fellowship (2023), the Google Daydream Award (2019), the Amazon Research Award (2020, 2022), and the MIT AeroAstro Vickie Kerrebrock Faculty Award (2020). He is an IEEE senior member and an AIAA associate fellow. At MIT, he teaches ”Robotics: Science and Systems,” the introduction to robotics for MIT undergraduates, and he created the graduate-level course ”Visual Navigation for Autonomous Vehicles”, which covers mathematical foundations and fast C++ implementations of spatial perception algorithms for drones and autonomous vehicles.Siyi Hu, Massachusetts Institute of TechnologyMarcus Abate, Massachusetts Institute of TechnologyZeyad Awwad, Massachusetts Institute of TechnologyMr