Phases of ﬂight identiﬁcation in General Aviation operations using G1000 ﬂight data
We deﬁned rule-based logic and developed algorithms to automatically identify the phase of ﬂight at each instance in ﬂight data. The challenge of this work was in the inconsistency of general aviation ﬂights, and in particular training operations. We used G1000 ﬂight data from Cessna 172 and Cirrus SR-20 training ﬂights to evaluate the algorithms.
Detecting safety events in General Aviation operations using G1000 ﬂight data
I developed methods to detect safety events (i.e. events that can put the outcome of the ﬂight at risk) in ﬂight data. I demonstrated the developed algorithms on ﬁve safety events during the approach phase of ﬂight and used a statistical analysis to compare the presence of each safety event in our data set.
Low-cost AHRS implementations in General Aviation operations
In this project, we collected AHRS data using low-cost methods, and evaluated the feasibility of using such data in safety analysis applications. We used a Stratux device and two diﬀerent smartphones with applications developed in-house to collect sensor data and information in ﬂight, and then used machine learning methods to calculate AHRS information and emulate G1000 data behaviors.
Environmental impact of End-Around-Taxiways
We modeled the fuel burn of diﬀerent engine and airliner combinations and used ASD-X surface data from DTW, DFW, and ATL, to evaluate whether using the end-around-taxiway to taxi to the gate after landing impacted performance in terms of time to taxi and fuel to taxi in diﬀerent ﬂow conﬁgurations.
Analysis of helicopter maintenance risk
In this work, we used historical helicopter accident data from the NTSB accident database to identify the most frequent unsafe maintenance actions (maintenance errors and violations). We investigated maintenance-related causes, factors, and events, to distinguish maintenance-related accidents, and we looked at accident data from 1982 to 2013.
Cultural diﬀerences in weather attitudes
I collaborated with a UK-based researcher at Imperial College London to construct and disseminate a scenariobased survey to evaluate diﬀerences in understanding of and attitudes towards weather-related products and decision making in diﬀerent ﬂight missions.