Research

Aviation & Space Data Analytics (ASDA) includes an NSF-sponsored consortium of Industrial Advisor Board (IAB) that instruments timely conversations between aviation and space industries, federal and non-profit agencies, and academics about interruptive technologies, new interoperable data standards and data security problems in aviation and space. The members of the IAB consortium are:

• To be invited to communicate with peer IAB members and academic researchers regularly and periodically, and obtain timely reports about data standards, best practices and new toolkits.
• To be informed about more interoperable data formats and obtain data preprocessing automation tools.
• To share non-proprietary business data and quickly retrieve and turn available data into business advantages.

Value Proposition

• We train a workforce reflecting the aviation and space industry’s needs by using sponsor-provided projects and datasets, and help sponsors recruit skilled interns and staff.
• Sponsors’ workforce can obtain upskilling training in aviation data analytics courses of ASDA.
• Sponsors jointly maintain an up-to-date, industry-relevant project pool with ASDA faculty and help attract early-stage college students enthusiastic about aviation and space careers.
• Sponsors can track talent and hire interns and employees from four Ph.D., 20 graduate and 100 undergraduate students trained by ASDA in Aviation and Space Data Analytics.
• Projects and datasets relevant to sponsors’ interests are selected for training and conducting non-disclosed research, helping sponsors recruit skilled interns and competent new staff.
• We delegate pre-competitive research as a contractor for our sponsors. Sponsors' investments can gain a 15:1 leverage due to their overlapping with other funded projects of the distinguished ASDA faculty and shared resource pool. We take contracts aligning and extending three core areas:
• Data Accessibility and Exchange Requirement Analysis: Review aviation and space data standards, develop efficient data retrieval methods and jointly provide training with contractor-selected researchers and students.
• Next-Generation System Modeling: Jointly oversee system development aligned with the sponsor's interest in Data-Driven Modeling and Simulations, enhancing the safety, security and efficiency of the Aviation and Space Ecosystem with a task force selected by both the contractor and sponsor.
• Cost-Efficient AI/Machine Learning Prototyping: Collaboratively implement AI solutions to improve aviation operations, boost performance, cut costs and advance sustainability by a team of faculty and student researchers chosen by both the contractor and sponsor.
• We facilitate conversations between thought leaders from the aviation and space industries, governmental agencies, and academics.
• Sponsors are voting members of ASDA'sIndustrial Advisory Board(IAB) to determine the priorities of ASDA’s core research projects sponsored by NSF.
• Sponsors are invited to communicate semi-annually with peer IAB members and academic researchers and turn emerging problems into faculty research or student capstone project topics.
• Sponsors also receive updates about new AI technologies, data exchange standards, non-proprietary datasets and quantitative or qualitative comparisons of existing best solutions to the sponsors’ problems under concern.