The Aerospace SYStems Engineering and Transportation (ASYST) Lab is dedicated to the advancement of aerospace systems and transportation safety through the integration of aerospace systems engineering, data science, machine learning, human factors analysis, and immersive experimental platforms. Under the leadership of Dr. Neelakshi Majumdar, our team pioneers research in systems modeling, predictive analysis of aviation incidents, human–machine interaction in flight systems, and the design integration of autonomous and advanced air mobility solutions. By combining empirical analysis with high-fidelity simulations, we generate actionable insights that drive safer and more resilient aerospace systems, while fostering the next generation of aerospace engineers and researchers.
Our mission is to assist the aerospace and transportation community in improving safety, efficiency, and innovation by leveraging systems engineering, advanced analytics, and human-centered design. We strive to:
Enable data-driven decisions to predictive models of accident scenarios using machine learning and statistical analysis.
Advance experimental research in high-fidelity simulators to study pilot performance, human factors, and autonomous system integration.
Promote STEM engagement through workshops, outreach activities, and public engagement.
Empower future leaders through research and collaborations that address real-world aerospace challenges.
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