Research Projects
Process, Data & Deliverables
Throughout the year I completed a sequence of research assignments — from secondary source collection to primary interviews and a final synthesis. Each document below represents a step in the process.
Secondary Research
Source collection and literature review on AI in aerospace.
Annotated Source List
Annotated bibliography of academic and industry sources on industrial AI and LLMs in aviation.
Open documentLiterature Review
In-depth review of existing research on AI-driven aerospace design and sustainability.
Open documentSynthesis Paper
Synthesis of findings across primary and secondary sources — the foundation for the research question.
Open documentPrimary Research
Interviews and original data collection.
Final Products
End-of-year presentation summarizing my research and internship.
Research Process
- 01
Topic Selection & Background Research
Identified the intersection of industrial AI, LLMs, and sustainable aviation engineering as a high-impact, underexplored area.
- 02
Annotated Source List
Built a curated bibliography of peer-reviewed papers, industry reports, and authoritative news sources.
- 03
Literature Review
Synthesized existing research to identify gaps the project could address.
- 04
Synthesis Paper & Research Proposal
Defined the research question, hypothesis, operational definitions, and rationale.
- 05
Primary Data — Interview
Conducted an expert interview to ground secondary findings in industry practice.
- 06
Internship at UMD Industrial AI Center
Observed LLM integration in manufacturing workflows and assisted with ongoing research papers.
- 07
Final Presentation
Delivered findings to peers, mentors, and faculty.