Dr. Mayank V. Bendarkar is a Research Engineer within the School of Aerospace Engineering at the Georgia Institute of Technology within ASDL’s Civil Aviation Research Division. He also supports research efforts in other divisions as needed. In his current position, Dr. Bendarkar is the technical lead for research teams in the fields of aircraft and aviation safety using analytical methods as well as machine learning/natural language processing, aviation noise and sustainability, model-based systems engineering, and novel air concepts. Dr. Bendarkar is a member of the American Institute of Aeronautics and Astronautics (AIAA) and a Technical Discipline Chair for AIAA’s General Aviation Technical Committee. His interests lie in incorporating reliability and safety in aircraft design, aircraft certification and MBSE, aviation sustainability, and optimization.

  • Doctor of Philosophy (Ph.D.), Aerospace Engineering, 2021, Georgia Institute of Technology, Atlanta, GA - USA
  • Master of Science (M.S.), Aerospace Engineering, 2017, Georgia Institute of Technology, Atlanta, GA - USA
  • Master of Technology (M.Tech) Aerospace Engineering, 2014, Indian Institute of Technology Bombay, Mumbai, India
  • Bachelor of Technology (B.Tech) Aerospace Engineering, 2014, Indian Institute of Technology Bombay, Mumbai, India

Adopting a NAS-wide Safety Risk Model using NLP/ML (Sponsor: FAA)

  • Role: Co-Investigator
  • Project overview: A 3 year effort to develop ML/NLP techniques for extracting and integrating safety risk concepts from accident/incident text narratives into FAA’s Integrated Safety Assessment Model (ISAM) to enable safety risk assessment of the National Airspace System (NAS).

FAA Ascent Projects 62 / 60 / 10 (Sponsor: FAA)

  • Role: Technical Lead/Contributor
  • Project overview: Technical lead or contributor to multiple FAA sustainable aviation initiatives including AEDT noise model validation, expanding the aircraft fleet database using ML, and estimating future impacts of supersonic air travel.

Electrified Powertrain Flight Demonstrator Program (Sponsor: NASA)

  • Role: Technical Contributor
  • Project overview: Development of a model-based system engineering (MBSE) framework for electrified aircraft certification and gap-analysis of 14 CFR Part 23, 25, 33, 35, and other special conditions.

Journal Papers

  1. M. Ayaka, M.V. Bendarkar, D.N. Mavris. “Natural Language Processing of Aviation Safety Reports to Identify Inefficient Operational Patterns” Aerospace 9, no. 8: 450, 2022.  Link to PDF
  2. M.V. Bendarkar, D. Sarojini, D.N. Mavris, “Off-Nominal Performance and Reliability of Novel Aircraft Concepts During Early Design”, Journal of Aircraft 59 (2), 400-414, 2022.  Link to PDF
  3. M.V. Bendarkar, D. Rajaram, Y. Cai, D.N. Mavris, “Optimal Paths for Progressive Aircraft Subsystem Electrification in Early Design”, Journal of Aircraft 59 (1), 219-232, 2022.  Link to PDF
  4. G. Cinar, Y. Cai, M.V. Bendarkar, A.I. Burrell, R.K. Denney, D.N. Mavris , “System Analysis and Design Space Exploration of Regional Aircraft with Electrified Powertrains”, Journal of Aircraft (Accepted), Aug 2022.

Conference Papers

  1. S. Glinski, B. Fazal, E.D. Harrison, M.V. Bendarkar, T. Fields, E. Garcia, D.N. Mavris, “An MBSE Framework to Identify Regulatory Gaps for Electrified Transport Aircraft,” 2022 IEEE Transportation Electrification Conference & Expo (ITEC), 2022, pp. 772-777, doi: 10.1109/ITEC53557.2022.9813806., Link to PDF
  2. B. Fazal, S. Glinski, E. Harrison, T.M. Fields, M.V. Bendarkar, E. Garcia,, D.N. Mavris, “An MBSE Framework for Regulatory Modeling of Transport Category Airplanes”, AIAA AVIATION 2022 Forum, 3256, Chicago, IL, June 27-July 1, 2022, AIAA 2022-3256, Link to PDF
  3. M.V. Bendarkar, J. Bhanpato, T.G. Puranik, M. Kirby, D.N. Mavris, “Comparative Assessment of AEDT Noise Modeling Assumptions Using Real-World Data”, AIAA AVIATION 2022 Forum, Chicago, IL, June 27-July 1, 2022, AIAA 2022-3917,  Link to PDF
  4. G. Cinar, Y. Cai, M.V. Bendarkar, A.I. Burrell, R.K. Denney, D.N. Mavris, “System Analysis and Design Space Exploration of Regional Aircraft with Electrified Powertrains”, AIAA SCITECH 2022 Forum, San Diego, CA, January 3-7, 2022, AIAA 2022-1994,  Link to PDF
  5. E. Mangortey, A. Speirs, M.V. Bendarkar, V. Bui, “Analysis of Helicopter Accidents and Certification Categories Using Machine Learning”, AIAA SCITECH 2022 Forum, San Diego, CA, January 3-7, 2022, AIAA 2022-0249,  Link to PDF
  6. S. Datta, R. Roy, M.V. Bendarkar, E. Harrison, D.N. Mavris, “MBSE-Enabled Risk Reduction for Certification of Novel Aircraft Configurations”, AIAA SCITECH 2022 Forum, San Diego, CA, January 3-7, 2022, AIAA 2022-1189,  Link to PDF
  7. A. Markov, M.V. Bendarkar, D.N. Mavris, “Improved Hazard Analysis for Novel Vehicle Configurations Using the Systems-Theoretic Process Analysis”, AIAA SCITECH 2022 Forum, San Diego, CA, January 3-7, 2022, AIAA 2022-0260,  Link to PDF
  8. A. Gabrielian, T. Puranik, M. Bendarkar, M. Kirby, D. Marvis, “Validation of the aviation environmental design tool’s noise model using high fidelity weather”, INTER-NOISE and NOISE-CON Congress and Conference Proceedings, InterNoise21, Washington, D.C., USA, pages 3944-4918, pp. 4810-4822(13),  Link to PDF
  9. A.B. Gabrielian, T.G. Puranik, M.V. Bendarkar, M. Kirby, D. Mavris, D. Monteiro, “Noise Model Validation using Real World Operations Data”, AIAA AVIATION 2021 FORUM, VIRTUAL EVENT, August 2-6, 2021, AIAA 2021-2136,  Link to PDF
  10. M.V. Bendarkar, D. Sarojini, E. Harrison, D.N. Mavris, “Evaluation of Off-Nominal Performance and Reliability of a Distributed Electric Propulsion Aircraft during Early Design”, AIAA Scitech 2021 Forum, VIRTUAL EVENT, 11–15 & 19–21 January 2021, AIAA 2021-1723,  Link to PDF
  11. M.V. Bendarkar, J. Xie, S.I. Briceno, E.D. Harrison, D. Mavris, “A Model-Based Aircraft Certification Framework for Normal Category Airplanes”, AIAA AVIATION 2020 FORUM, VIRTUAL EVENT, June 15-19, 2020, AIAA 2020-3096 ,  Link to PDF
  12. M.V. Bendarkar, D. Rajaram, Y. Cai, S.I. Briceno, D.N. Mavris, “Evaluating Optimal Paths for Aircraft Subsystem Electrification in Early Design”, AIAA Aviation 2019 Forum, Dallas, Texas, 17-21 June 2019, AIAA 2019-2802,  Link to PDF
  13. M.H. Bleu-Laine, M.V. Bendarkar, J. Xie, S.I. Briceno, D.N. Mavris, “A Model-Based System Engineering Approach to Normal Category Airplane Airworthiness Certification”, AIAA Aviation 2019 Forum, Dallas, Texas, 17-21 June 2019, AIAA 2019-3344,  Link to PDF
  14. M.V. Bendarkar, A. Behere, S.I. Briceno, D.N. Mavris, “A Bayesian Safety Assessment Methodology for Novel Aircraft Architectures and Technologies Using Continuous FHA”, AIAA Aviation 2019 Forum, Dallas, Texas, 17-21 June 2019, AIAA 2019-3123,  Link to PDF
  15. M.V. Bendarkar, I. Chakraborty, E. Garcia, D.N. Mavris, “Rapid Assessment of Power Requirements and Optimization of Thermal Ice Protection Systems”, 2018 Aviation Technology, Integration, and Operations Conference, Atlanta, Georgia, USA, June 25-29, 2018, AIAA 2018-4136,  Link to PDF
  16. M.V. Bendarkar, R.S. Pant, S. Eberhardt, “Conceptual Design and Sizing of an Amphibian Transport Aircraft”, 2013 Aviation Technology, Integration, and Operations Conference, Los Angeles, CA, USA, August 12-14, 2013, AIAA 2013-4303,  Link to PDF

Reports

  1. Federal Aviation Administration (FAA), PEGASAS Project 25: General Aviation 2030 - GA Exploratory Analysis, 2020, Rep. no. DOT/FAA/TC-21/14,  Link to PDF

Theses

  1. M.V. Bendarkar, An Integrated Framework to Evaluate Off-Nominal Requirements and Reliability of Novel Aircraft Architectures in Early Design, Ph.D. Thesis, School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, April 2021,  Link to PDF

  • AIAA W. T. Piper, Sr. General Aviation Graduate Award (2020)
  • Silver Medalist - IIT Bombay: Ranked $1^{st}$ in Aerospace Engineering (2009 - 2014)
  • J.N. Tata Endowment Scholarship for the higher education of Indians (2014)