- Determined manufacturing processes for each geometry feature of FSAE suspension rocker.
- Calculated different process variables based on available tooling and machining resources.
- Optimized total cost (tooling, labor, machines, and materials) and time required for mass production.
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- Researched variables that may have influence on fuel economy of a sample of automobiles.
- Utilized Stepwise Linear Regression to find the best regression model with influencing variables.
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- Streamed twitter data to build relationships between auto brands.
- Constructed a brand network and calculated different network metrics to rank 55 auto brands.
- Determined a ranking metric for automotive applications and simulated market dynamics.
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- Modeled Orlando International Airport terminal to minimize passenger wait times.
- Determined the best performing number of self check-in kiosks and agent check-in counters for different time slots of the day.
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- Performed multi objective optimization minimizing cost and time required for suspension rocker manufacturing process.
- Provided the decision maker a Pareto Front of cost and time functions with different configurations of decision variables and manufacturing parameters.
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- Sensor control.
- System identification.
- Motor control.
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