Summer/Fall2020: Research Opportunities for AE Students

Prof. Theodorou speaking to a group of 7 grad students

Summer and Fall Semester AE Research for Pay or Credit


Most of the following listings are for credit, requiring the student to both gain the faculty's approval and register for credit. Students who have questions about this should contact the project manager directly.

This site will remain active throughout the Summer and Fall 2020 registration periods. 
Check back weekly. Listings are subject to change.


FACULTY: Please use the listings below to create your own listing. Send it to communications@ae.gatech.edu Remember to tell us which semesters you are trying to fill.  We will take down listings only when you tell us the slots are filled.
STUDENTS: To get credit for any of the following research projects, you will need to submit a signed and completed Undergraduate Research Permit. Find out more about undergraduate research here.


Project: Development of Vehicle Simulation Framework - ASDL
Can this work be performed remotely or online, if needed? Yes
Project Manager: Dr. Evan Harrison
Action: Email your resume and interest to Dr. Evan Harrison (evan.harrison@asdl.gatech.edu)
Office: Weber 308
Semesters: Summer 2020​
Time Commitment: About 5-10 hrs per week (flexible).
Number of Students Needed: 1-2
Citizenship Requirement: No
Details: Flight testing, particularly flight testing associated with airworthiness certification, has become a cornerstone of aircraft design and development. However, these tests are time consuming and expensive, leading to the increased desire to introduce simulated flight testing into the conceptual and preliminary design stages. To this end a framework for modeling air vehicles, defining maneuvers and controllers, and performing time-based simulations has been generated with the intent to incorporate this capability with existing design tools. Students will aid in the ongoing development and documentation of this capability. Students should have some understanding of MATLAB and/or Python, object-oriented programming, and git/GitHub. An understanding of aircraft performance models, flight dynamics, and controls is helpful.


Project: Flight Testing Single Surface Canopy
Can this work be performed remotely or online, if needed?  No
Project Manager(s): Emily Glover
Project Advisor:  Mark Costello
Action: Send your CV and area of interest to eglover8@gatech.edu
Office: ESM 108
Semesters: Fall 2020
Time Commitment: 3 hours/ week per credit-hour
Number of Students Needed: 1-2
Citizenship Requirement: NO
Details: This is a credit project.  Must have interest in flight dynamics, sensors, manufacturing, and flying.


Project: Numerical Optimization for Air Vehicle Parameter Identification
Can this work be performed remotely or online, if needed?  YES
Project Manager(s): Prof. Mark Costello
Action: Send your CV and area of interest to mark.costello@aerospace.gatech.edu
Office: MK 311
Semesters: Summer and Fall 2020
Time Commitment: 3 hours/week per credit-hour
Number of Students Needed: 2-3
Citizenship Requirement: NO
Details: This arrangement is for academic credit only. Must have interest in computer programming, numerical methods, and flight dynamics.


Project: Visualization of Electrified Aircraft Propulsion Technologies​ - ASDL
Can this work be performed remotely or online, if needed?  YES
Project Manager(s): Gokcin Cinar
Action: Send your CV and area of interest to: Dr. Gokcin Cinar (gokcin.cinar@gatech.edu)
Office: Weber 308
Semesters: Summer 2020​
Time Commitment: Flexible based on credit hours requested​
Number of Students Needed: 1-3
Citizenship Requirement: NO​
Meet with project manager before registering?: Yes
Details: The ongoing efforts to reduce aviation related greenhouse gas emissions and fuel burn have led to advancements in electrified aircraft propulsion systems. The goal of this project is to collect and process data to create a timeline of technology advancements in electrified aircraft based on vehicle class, propulsion architecture and technology maturity levels. The students should expect to gain experience in collecting relevant data from the literature, process the data and create an interactive visualization environment.

Requirements: ​

  • Citizenship Restrictions: None
  • Must have skills: Strong work ethic, Timeliness
  • Preferred Skills: experience in a data processing and visualization tool of your choice (e.g. Matlab, JMP)
  • Exceptional Skills: experience in creating interactive visuals

Project: Aerospace Propulsion Outreach Program - ASDL
Can this work be performed remotely or online, if needed?  NO
Project Manager: Andrew Yatsko
Office Number: Weber 109
Citizenship restrictions: None
Meet with project manager before registering?: Yes
Number of Students Needed: 3
Semester:  Fall 2020 and Spring 2021
Brief description of project: This is an undergraduate research topic where student will learn the inner workings of gas turbine engines, the Brayton cycle, hands on manufacturing and testing of a small gas turbine engine. Gas turbine engine performance characteristics. Component and cycle analysis of jet engines and turbomachinery. Thermodynamic cycles. The mechanics and thermodynamics of combustion. Turbine engine performance characteristics. Component and cycle analysis of jet engines and turbomachinery.

Comments: Students on this project should plan to participate in the Fall 2020 and Spring 2021 Semesters. Students will need to be available to travel to WPAFB in Dayton, OH in the middle of May 2021, departing from Georgia Tech Campus.


Project: Digital Design and Manufacturing of Aerospace Systems using Dassault Systemes 3D Experience Platform - ASDL
Can this work be performed remotely or online, if needed?  YES
Project Manager:  Srujal Patel, srujal.patel@aerospace.gatech.edu
Office Number: Weber 308
Citizenship restrictions: None
Meet with project manager before registering?: Yes
Number of Students Needed: up to five
Semester:  Summer and Fall 2020
Brief description of project: Dassault Systemes (DS)’s 3DExperience (3DX) platform provides engineers a complete solution for the product life-cycle management of Aircraft, from its conceptual design stage to its disposal. This platform is adopted by most major aerospace companies like Boeing, Airbus, Lockheed Martin and Sikorsky, to name a few. The purpose of this effort is to train undergraduate students to be proficient with the 3DExperience platform as well as generate a knowledge-base so that future students can build on the prior work. As part of this effort students will focus on one or two of the following areas:

1. Computer Aided Design (CATIA brand)
2. Computer Aided Manufacturing/Additive Manufacturing (DELMIA brand)
3. Structural Analysis (Finite Element Analysis) (SIMULIA brand)
4. Mechatronics/Robotics (CATIA brand, CATIA Systems)
5. Systems Engineering (ENOVIA brand)

Students will first spend time getting familiar with the platform by following the generic 3DX training material. Upon completion of the training, students will be assigned a hands-on exploratory project in the Aerospace domain to apply their skills. At the end of the project, students will document their work (by creating hands-on tutorials for future use) and submit a brief report to earn the research credits.


Project: Development on Python tool for FEA File Creation and Modification​ - ASDL
Does this research project allow for remote/online participation: Yes
Project Manager: Dr. Adam Cox​
Office Number: Weber 120-A​
Citizenship restrictions: No​
Meet with project manager before registering: Yes
Number of Students Needed: 1-4
Brief description of project: MSC Nastran is the industry standard finite element analysis software. A package has been developed which can read, modify, and write input files for Nastran in Python, avoiding direct interaction with the cumbersome format of these files. However, Nastran has more capabilities than are currently implemented in this package. Students would help to expand the capability of the tool. Students should have some understanding of Python, object oriented programming, and git/GitHub. Understanding of FEA helpful but not required. Would enable students to learn more about Python, version control, text processing, OOP, unit tests, and finite element analysis.


Project: Flight Safety Predictive Modeling for Airline Operations using Machine Learning - ASDL
Can this work be performed remotely or online, if needed?  YES
Project Manager: Dr. Michelle Kirby and Dr. Tejas Puranik
Action: Email your resume to Dr. Tejas Puranik (tejas.puranik@gatech.edu)
Office:
Weber 308
Semesters: Summer 2020
Time Commitment: 
Task oriented. You will be given small tasks that you can complete each week
Number of Students Needed: 1-2
Citizenship Requirement: None
GPA Requirement: 3+
Details: The high level goal of this project is to use actual flight data from airline operations to identify critical parameters during different phases of flight and build predictive models for identifying risk using machine learning techniques. Undergraduate researchers will work with graduate researchers to support various tasks related to the milestones of the year-long project. The ideal candidate for this research should be willing to learn, and interested in aviation safety and operations, large scale data processing/analysis, statistical analysis, know MATLAB and/or Python. Experience with Tableau would be a plus.


Project: Federal Aviation Administration - ASCENT Project 43: Noise Power Distance Re-evaluation - ASDL
Can this work be performed remotely or online, if needed?  YES
Project Manager(s): Dr. Michelle Kirby
Action: Send your CV and area of interest to: Dr. Michelle Kirby (michelle.kirby@ae.gatech.edu) and Dr. Tejas Puranik (tejas.puranik@gatech.edu)
Office: Weber 323
Semesters: Summer and Fall 2020
Time Commitment: About 5-10 hrs. per week (flexible).
Number of Students Needed: 1-2
Citizenship Restrictions: None
Details: This research is sponsored by the Federal Aviation Administration and conducted in collaboration with different entities across the US to enhance the accuracy of the Aviation Environmental Design Tool (AEDT) through improved aircraft source noise prediction and modeling. This improvement is needed to support the evaluation and development of aircraft flight procedures that could reduce community noise. The current work aims to address a major limitation of the Noise Power Distance (NPD) data used in AEDT by taking account of airframe noise that varies significantly with the aircraft configuration (e.g., flap settings) and flight speed. The student will be working alongside a graduate student or the project manager on one of the research tasks of the ongoing project. The student is expected to gain knowledge and experience in the chosen topic of research, and apply such knowledge through assigned tasks. In addition, the student will have the opportunity to participate in research meetings with the project partners and sponsor.
Requirements:   

  • ·         Must have skills: Strong work ethic and willingness to learn
  • ·         Preferred Skills: Coding experience in Python/Matlab

Project: Federal Aviation Administration - ASCENT Project 54: AEDT Evaluation and Development Support - ASDL
Can this work be performed remotely or online, if needed?  Yes
Project Manager(s): Dr. Michelle Kirby
Action: Send your CV and area of interest to: Dr. Michelle Kirby (michelle.kirby@ae.gatech.edu) and Dr. Tejas Puranik (tejas.puranik@gatech.edu)
Office: Weber 323
Semesters: Summer and Fall 2020
Time Commitment: About 5-10 hrs. per week (flexible).
Number of Students Needed: 1-2
Citizenship Restrictions: None
Details: This research is sponsored by the Federal Aviation Administration and conducted in collaboration with different entities across the US to enhance the accuracy of the Aviation Environmental Design Tool (AEDT). The research aims to identify gaps in the assumptions of the terminal area procedures within the Aircraft Performance Model (APM) and provide recommendations for enhancements to the AEDT APM and implementation support for the AEDT development team. Some of the modeling assumptions in AEDT are considered overly conservative, and could be improved through the use of industry and airport flight operational data. The student will be working alongside a graduate student or the project manager on one of the research tasks of the ongoing project. The student is expected to gain knowledge and experience in the chosen topic of research, and apply such knowledge through assigned tasks. In addition, the student will have the opportunity to participate in research meetings with the project partners and sponsor.
Requirements:   

  • ·         Must have skills: Strong work ethic and willingness to learn
  • ·         Preferred Skills: Coding experience in Python/Matlab

Project: Department of Energy – Sandia National Laboratories: Assessment of High Performance Fuels in Aviation - ASDL
Can this work be performed remotely or online, if needed?  Yes
Project Manager(s): Dr. Michelle Kirby
Action: Send your CV and area of interest to: Dr. Michelle Kirby (michelle.kirby@ae.gatech.edu) and Dr. Mohammed Hassan (mohammed.hassan@gatech.edu)
Office: Weber 323
Semesters: Summer and Fall 2020 
Time Commitment: About 5-10 hrs per week (flexible).
Number of Students Needed: 1-2
Citizenship Requirement: NO
Details: This research is sponsored by the Department of Energy through Sandia National Laboratories. The research is conducted in collaboration with different entities and national laboratories across the US to investigate the feasibility and economic implications of adopting High Performance Fuels (HPFs) in aviation. In this project, we look at the impact of HPFs at the aircraft-level, airport-level and fleet-level. Furthermore, we employ economic models to gauge the market’s response to having a cleaner and more efficient alternative to conventional jet fuels. We also investigate the required infrastructure to enable the production and distribution of these fuels from biomass. The project cuts across various research topics including: aircraft design and performance, airport noise and emission modeling, fleet-level analysis, economic demand modeling, game theory in economics, optimization methods for facility placement, programming, and other areas. The student will be working alongside a graduate student or the project manager on one of the research topics. The student is expected to gain knowledge and experience in the chosen topic of research, and apply such knowledge through assigned tasks. In addition, the student will have the opportunity to participate in research meetings with the project partners and sponsor.

Requirements:   

  • ·         Citizenship Restrictions: None
  • ·         Must have skills: Strong work ethic and willingness to learn
  • ·         Preferred Skills: Coding experience in Python

Project: System Analysis and Evaluation of FAA’s Aviation Environmental Design Tool (AEDT) - ASDL
Can this work be performed remotely or online, if needed?  Yes
Project Manager: Dr. Yongchang Li
Action: Send your CV and area of interest to: Dr. Yongchang Li at yongchang.li@gatech.edu
Office: Weber 314-C
Semesters: 1+
Time Commitment: Task oriented. You will be given small tasks that you can complete each week. About 5-10 hrs per week (flexible).
Number of Students Needed: 2
Citizenship Requirement: No
GPA Requirement: >3
Details: Aviation Environmental Design Tool (AEDT) is a software system that models aircraft performance in space and time to estimate fuel consumption, emissions, noise, and air quality consequences. This software has been developed by the FAA Office of Environment and Energy for public release. It is the next generation FAA environmental consequence tool. This research is to perform system evaluation and analysis of the new FAA tool simulating airline flights to estimate noise, fuel burn, and emissions impacts. This system evaluation and analysis comprehensively assesses the accuracy, functionality, and capabilities of AEDT during the development process. The system evaluation consists of verification and validation, capability demonstrations, and parametric uncertainty/sensitivity analysis of the AEDT. In this research, you will have opportunities to work with real airport operations data, real world aircraft data, and the latest aircraft performance model, and get direct contacts from FAA, airports and airlines.
Requirements: The ideal candidate for this research should be willing to learn, and interested in data processing/analysis, statistical analysis, know MATLAB and/or Python. And knowing SQL scripting would be a plus.


Project: System Modeling Using SysML - ASDL
Can this work be performed remotely or online, if needed? Yes
Project Manager: Dr. Selcuk Cimtalay & Dr. Russell Peak
Action: Follow instructions on slide #10 in the “Model-Based Systems Engineering Information (pdf)” presentation (see “Additional information” below).​
Office: Weber 104
Semesters: at least one, could be several
Time Commitment: 4 hrs/week
Number of Students Needed:  1-15
Citizenship Requirement: varies
GPA Requirement: 3.5+ preferred; 3.2 minimum
Details: Multiple potential position types (depending on interests). Most, but not all, of our Systems Modeling Language (SysML) projects require US Persons, either US citizens or permanent residents Requirements for the positions:

 - A key requirement is an interest in SysML (no prior SysML experience required) and a willingness to learn and explore

Sample projects & external collaborators: – Lockheed MBSE - CubeSat testbed – NASA MBSE Pathfinder initiative – US Navy (NAVAIR) Model-Centric Engineering (MCE) – UAV testbed – NASA JPL: model-based systems engineering (MBSE); model-based wikis; embedded s/w – Boeing: MBSE model complexity & health management.
Additional informationModel-Based Systems Engineering Information (pdf)


Project:Computational Fluid Dynamics Modeling of Unsteady Flows
Can this work be performed remotely or online, if needed? 
Project Manager: Prof. Lakshmi Sankar 
Action: Please bring the AE 2699/4699 Permit form found at https://ae.gatech.edu/helpful-forms  to Professor Sankar's Office
Office: Guggenheim 449
Semesters: Spring 2020 and/or Fall 2020
Time Commitment: approx. 3 hours/week per credit hour earned
Number of Students Needed: 3 to 5 (max)
US Citizenship Required?: No
GPA Requirement: 3.0, Students must have completed AE 2010, AE 2220
Brief description of project: Students will learn how to model 2-D and 3-D steady and unsteady subsonic/transonic/supersonic flows using commercial and open source CFD solvers (Fluent, OpenFoam).


Project: Rapid Aerodynamics Prototyping Design for Sea Vehicles
Can this work be performed remotely or online, if needed? 
Project Manager: Marilyn J. Smith
Action: Send your CV and a statement of your relevant experience or interests to Marilyn.smith@ae.gatech.edu
Semesters: 1-2
Time Commitment: 3 hours per credit hour enrolled for credit (minimum 2 credit hours)​
Credit or Pay: Class credit only
Number of Students Needed: 1
Citizenship Requirement: None
GPA Requirement: 3.0
Brief description of project: This project involves demonstrating and extending a rapid prototyping design tool for large sea vehicles in cruise and undergoing maneuvers. Experience in Matlab required, and Tecplot experience is a plus. Potential for conference and journal papers with satisfactory completion of the work.  Junior or senior who has completed aerodynamics. For class credit only.