Dr. Evan Harrison is a Research Engineer within the School of Aerospace Engineering at the Georgia Institute of Technology, and a member of ASDL’s Advanced Configurations Division. Dr. Evan Harrison’s research focuses on the development and application of dynamic vehicle models for vehicle-level safety assessment. His current research focuses on model-based approaches for aircraft certification and the application of model-based methods in support of multidisciplinary aircraft analysis.

  • Doctor of Philosophy, Aerospace Engineering, 2018, Georgia Institute of Technology, Atlanta, GA - USA
  • Master of Science, Aerospace Engineering, 2015, Georgia Institute of Technology, Atlanta, GA - USA
  • Bachelor of Science, Aerospace Engineering, 2013, Georgia Institute of Technology, Atlanta, GA - USA

Virtual Aero Surface Technology X-Plane (Sponsor: DARPA CRANE)

  • Role: Chief Systems Engineer
  • Project overview: Conducted design and analysis of aircraft that utilize active flow control as the sole control actuation. Developed data compendium for integrating active flow control data surrogate models with vehicle-level analysis for conceptual design trade studies.

ASCENT Project 61 - Noise Certification Streamlining (Sponsor: FAA)

  • Role: Co-Investigator
  • Project overview: Deployed model-based systems engineering approach to noise certification regulations. Managed team in developing noise certification verification model and method for noise certification process analysis.

Systems Analysis Support for the Electrified Powertrain Flight Demonstration Program (Sponsor: NASA)

  • Role: Technical Lead
  • Project overview: Developed methodology for conducting regulatory gap analysis for novel electrified powertrain aircraft concepts. Deployed model-based systems engineering approach to identify key functional and physical features implicit within 14 CFR Part 25 Transport Category Aircraft requirements. Developed framework for developing model-based representations of existing aircraft type certification requirements in support of ongoing regulatory analysis.

ASCENT Project 50 - Over-Wing Engine Placement Evaluation (Sponsor: FAA)

  • Role: Technical Lead
  • Developed flexible multidisciplinary analysis and optimization framework in support of over-wing engine vehicle analysis. Implemented methods in support of modular definitions of vehicle performance models and cohesive assembly of overall vehicle performance models in order to conduct vehicle sizing and synthesis trade studies.

Reliability and Safety Assessment of Urban Air Mobility Concept Vehicles (Sponsor: NASA)

  • Role: Technical Lead
  • Conducted vehicle-level and system-level quantitative safety assessment of vehicle concepts for urban air mobility.

Support the X-57 Project Office on Management of Standards Development (Sponsor: HS Advanced Concepts)

  • Role: Co-Investigator
  • Provided subject-matter expertise on the usage of model-based systems engineering methods to support the development of airworthiness standards for the X-57 concept.

Model-Based Aircraft Certification (Sponsor: NASA)

  • Role: Co-Investigator
  • Led and managed a team researching a model-based framework for the certification of normal category aircraft. Developed and prototyped model-based profiles and stereotypes for regulations, standards, and vehicle models as airworthiness certification artifacts.

NASA Vision Systems Analysis (Sponsor: NASA)

  • Role: Technical Lead
  • Performed independent system sizing and analysis of candidate transport aircraft architectures.

PEGASAS Project 25 - General Aviation 2030: GA Exploratory Analysis (Sponsor: FAA)

  • Role: Co-Investigator
  • Performed analysis of emerging trends in general aviation with a focus on defining potential general aviation future scenarios in order to provide the FAA with recommendations regarding keys research areas and topics.

PEGASAS Project 5 - Safety Analysis for General Aviation (Sponsor: FAA)

  • Role: Technical Lead
  • Developed general aviation performance models and methods of energy-based safety analysis intended for use in flight-data monitoring programs in order to improve fixed-wing general aviation flight safety.

Journal Papers

  1. T. Puranik, E. Harrison, and D. N. Mavris, “Aircraft performance model calibration and validation for general aviation safety analysis,” Journal of Aircraft, 2020

Conference Papers

  1. Glinski, S., Fazal, B., Harrison, E. D., Bendarkar, M. V., Fields, T., Garcia, E., & Mavris, D. N. (2022, June). An MBSE Framework to Identify Regulatory Gaps for Electrified Transport Aircraft. In 2022 IEEE Transportation Electrification Conference & Expo (ITEC) (pp. 772-777). IEEE.
  2. Fazal, B., Glinski, S., Harrison, E., Fields, T. M., Bendarkar, M. V., Garcia, E., & Mavris, D. N. (2022). An MBSE Framework for Regulatory Modeling of Transport Category Airplanes. In AIAA AVIATION 2022 Forum (p. 3256).
  3. Xie, J., Cai, Y., Sarojini, D., Harrison, E., & Mavris, D. N. (2022). Vertical Tail Sizing and Power Split Optimization for the PEGASUS Concept Considering Certification Requirements. In AIAA AVIATION 2022 Forum (p. 3204).
  4. Kim, D., Verberne, J., Sotiropoulos-Georgiopoulos, E., Harrison, E., & Mavris, D. N. (2022). A Model-Based System Engineering Approach to the Certification of Transport Type Aircraft. In AIAA SCITECH 2022 Forum (p. 2550).
  5. Datta, S., Roy, R., Bendarkar, M. V., Harrison, E., & Mavris, D. N. (2022). MBSE-Enabled Risk Reduction for Certification of Novel Aircraft Configurations. In AIAA SCITECH 2022 Forum (p. 1189).
  6. Cai, Y., Xie, J., Harrison, E., & Mavris, D. (2021). Assessment of Longitudinal Stability-and-Control Characteristics of Hybrid Wing Body Aircraft in Conceptual Design. In AIAA AVIATION 2021 FORUM (p. 2448).
  7. Sarojini, D., Harrison, E., & Mavris, D. N. (2021). Dynamic Environment for Loads Prediction and Handling Investigation (DELPHI). In AIAA Scitech 2021 Forum (p. 0326).
  8. Bendarkar, M. V., Sarojini, D., Harrison, E., & Mavris, D. N. (2021). Evaluation of Off-Nominal Performance and Reliability of a Distributed Electric Propulsion Aircraft during Early Design. In AIAA Scitech 2021 Forum (p. 1723).
  9. Jing, X., Berthon, B., Somers, L. A., Rairigh, G., Morgan, J., Sarojini, D., Harrison, E. & Mavris, D. (2020). Dynamic Simulation of Vehicle Maneuvers for Loads Analysis. In AIAA AVIATION 2020 FORUM (p. 2651).
  10. Xie, J., Harrison, E. D., & Mavris, D. (2020). Differential Dynamic Programming to Critical-Engine-Inoperative Takeoff Certification Analysis. In AIAA AVIATION 2020 FORUM (p. 2641).
  11. Puranik, T. G., Harrison, E., Min, S., Chakraborty, I., & Mavris, D. N. (2018). A framework for general aviation aircraft performance model calibration and validation. In 2018 Aviation Technology, Integration, and Operations Conference (p. 3191).
  12. Puranik, T. G., Harrison, E., Min, S., Jimenez, H., & Mavris, D. N. (2016). General Aviation Approach and Landing Analysis Using Flight Data Records. In 16th AIAA Aviation Technology, Integration, and Operations Conference (p. 3913).
  13. Puranik, T. G., Harrison, E., Min, S., Jimenez, H., & Mavris, D. N. (2016). Energy-Based Metrics for General Aviation Flight Data Record Analysis. In 16th AIAA Aviation Technology, Integration, and Operations Conference (p. 3915).
  14. Harrison, E., Jimenez, H., & Mavris, D. N. (2016). Investigation and flight dynamic analysis of general aviation safety. In AIAA Atmospheric Flight Mechanics Conference (p. 3108).
  15. Min, S., Harrison, E., Jimenez, H., & Mavris, D. N. (2015). Development of Aerodynamic Modeling and Calibration Methods for General Aviation Aircraft Performance Analysis-a Survey and Comparison of Models. In 15th AIAA Aviation Technology, Integration, and Operations Conference (p. 2853).
  16. Harrison, E., Min, S., Jimenez, H., & Mavris, D. N. (2015). Implementataion and Validation of an Internal Combustion Engine and Propeller Model for General Aviation Aircraft Performance Studies. In 15th AIAA Aviation Technology, Integration, and Operations Conference (p. 2850).

Reports

  1. PEGASAS Project 25: General Aviation 2030 - GA Exploratory Analysis, Final Report, Sept. 2020.

Theses

  1. Harrison, E. D. (2018). A methodology for predicting and mitigating loss of control incidents for general aviation aircraft (Doctoral dissertation, Georgia Institute of Technology).

  • Member, American Institute of Aeronautics and Astronautics (AIAA)