• Master of Science, Aerospace Engineering, 2019, Georgia Institute of Technology, Atlanta, GA - USA
• Bachelor of Science, Aerospace Engineering, 2018, Georgia Institute of Technology, Atlanta, GA - USA

Integrated Safety Assessment Model (ISAM) Improvement with Machine Learning (Sponsor: FAA)

• Role: Project Co-Investigator and Technical Lead
• Project overview: This project aims to advance risk-informed decision-making at the FAA by developing machine learning techniques for extracting safety-relevant information from incidents and accident reports and enhancing large language model (LLM) capabilities for navigating aviation regulatory text.

Learning from All Operations in Aviation Safety (Sponsor: Delta Air Lines)

• Role: Technical Lead
• Project overview: Development of machine learning techniques to leverage Learning from All Operations in airline operations using flight data and safety reports.

Strategies for Fuel Burn Reduction via Enroute Efficiencies and Taxi Operations Optimization (Sponsor: Delta Air Lines)

• Role: Technical Lead
• Project overview: Collaboration with subject matter experts from Delta to identify fuel burn reduction opportunities in enroute and taxi operations.

ASCENT Project 54 - AEDT Evaluation and Development Support (Sponsor: FAA)

• Role: Technical Advisor
• Project overview: Development of recommendations based on real-world data for aircraft performance modeling assumptions within AEDT to improve aircraft noise, emissions, and fuel burn estimations.

ASCENT Project 62 - Noise Model Validation for AEDT (Sponsor: FAA)

• Role: Technical Advisor
• Project overview: Assessment of AEDT noise estimation capability under various modeling assumptions as compared to real-world measurements.

ASCENT Project 85 - Strategies for Improving En-Route Fuel Efficiency (Sponsor: FAA)

• Role: Technical Advisor
• Project overview: This research focuses on the strategies of near and long-term operational improvements and quantify their impact on reducing the carbon footprint of aviation, with specific focus on en-route efficiency.

Flight Safety Precursors Identification (Sponsor: Delta Air Lines)

• Role: Technical Lead
• Project overview: Machine learning framework to identify safety event precursors from fusion of flight data and pilot reports to support risk mitigations.

ASCENT Project 64 - Alternative Design Configurations to Meet Future Demand (Sponsor: FAA)

• Role: Contributor
• Project overview: Development and evaluation of fleet level performance, noise, and emissions modeling capability for advanced concepts aircraft.

Hyperloop Transportation System Design Environment (Sponsor: POSCO)

• Role: Contributor
• Project overview: Design environment to assess technology feasibility and economic viability for a new mode of transportation.

Humanitarian Assistance and Disaster Relief Operations & Sustainment (Sponsor: Lockheed Martin)

• Role: Contributor
• Project overview: Decision-making environment to quantify impacts of operational change and technology improvement on mission effectiveness of a mixed fleet of military transport aircraft in presence of uncertainties.

Hybrid Electric Aircraft Thermal Management Architecture Solutions via MBSE (Sponsor: AFRL)

• Role: Contributor
• Project overview: Model-Based Systems Engineering (MBSE) framework to generate and analyze thermal management system architectures for electric aircraft which can be traced and verified against vehicle level requirements.

Journal Papers

1. H. Peng, J. Bhanpato, A. Behere, and D. N. Mavris, A Rapid Surrogate Model for Estimating Aviation Noise Impact Across Various Departure Profiles and Operating Conditions, Aerospace 2023, 10, 627. Link to PDF

Conference Papers

1. H. Choi, J. Bhanpato, A. Behere, M. Kirby, and D.N. Mavris. Integrating Terminal Airspace Weather Profiles Into Machine Learning Models for ETA Prediction Within the Terminal Maneuvering Area (TMA), AIAA 2026-1197. AIAA SCITECH 2026 Forum. January 2026. Link to PDF
2. H. Choi, A. Behere, J. Bhanpato, M. Kirby and D. N. Mavris. Prediction of Fuel Burn for Runway-to-Runway Commercial Flight Operations with Machine Learning, AIAA 2025-3519. AIAA AVIATION FORUM AND ASCEND 2025. July 2025. Link to PDF
3. X. Jing, J. Bhanpato, M. V. Bendarkar and D. N. Mavris. An Efficient Dual-Agent Framework for Generating and Evaluating Synthetic Aviation Safety Reports Using Large Language Models, AIAA 2025-3249. AIAA AVIATION FORUM AND ASCEND 2025. July 2025. Link to PDF
4. X. Jing, J. Bhanpato, M. V. Bendarkar and D. N. Mavris. KG-Enhanced Synthetic Report Generation for Addressing Class Imbalance in Aviation Safety Data, AIAA 2025-3250. AIAA AVIATION FORUM AND ASCEND 2025. July 2025. Link to PDF
5. T. P. Oderinde, C. Chandra, L. Albertoli, J. Bhanpato, M.V. Bendarkar and D. N. Mavris. Aviation Safety QA Dataset for Extracting Knowledge From Incident Reports, AIAA 2025-3248. AIAA AVIATION FORUM AND ASCEND 2025. July 2025. Link to PDF
6. H. Choi, J. Bhanpato, A. Behere, M. Kirby, and D.N. Mavris. Integrated Predictive Model of Air Traffic Flow Using Deep Learning, AIAA 2025-3591. AIAA AVIATION FORUM AND ASCEND 2025. July 2025. Link to PDF
7. A. Behere, J. Bhanpato, M. Kirby and D. N. Mavris. Optimal Design of Noise Abatement Departure Procedures Using a Model Order Reduction Framework, AIAA 2024-3859. AIAA AVIATION FORUM AND ASCEND 2024. July 2024. Link to PDF
8. E. Hayachiguti, A. Arra, J. Bhanpato, R. H. Gautier, M. Kirby and D. N. Mavris. Sensitivity Analysis of Missing Data and Imputation Techniques in Flight Safety Event Detection, AIAA 2024-4660. AIAA AVIATION FORUM AND ASCEND 2024. July 2024. Link to PDF
9. T. Daga, J. Bhanpato, A. Behere and D. N. Mavris. Aircraft Takeoff Weight Estimation for Real-World Flight Trajectory Data Using CNN-LSTM, AIAA 2024-4291. AIAA AVIATION FORUM AND ASCEND 2024. July 2024. Link to PDF
10. A. Behere, J. Bhanpato, M. Kirby and D. N. Mavris. Model Order Reduction of Terminal Area Noise Metrics for Parametric Ground Tracks, AIAA 2024-3857. AIAA AVIATION FORUM AND ASCEND 2024. July 2024. Link to PDF
11. N. Duarte, B. Ravikanti, J. Bhanpato, R. H. Gautier, M. Kirby and D. N. Mavris. Identifying Precursors to Flight Safety Events: A Comparative Analysis of Machine Learning Models Using FOQA Data, AIAA 2024-4659. AIAA AVIATION FORUM AND ASCEND 2024. July 2024. Link to PDF
12. J. Bhanpato, A. Moharir, A. Behere and D. N. Mavris. Aircraft Configuration Prediction for Arrival Operations from Trajectory Data, AIAA 2024-2618. AIAA SCITECH 2024 Forum. January 2024. Link to PDF
13. A. Willitt, M. V. Bendarkar, J. Bhanpato, M. Kirby, S. Abelezele and D. N. Mavris. Preliminary AEDT Noise Model Validation using Real-World Data, AIAA 2024-2107. AIAA SCITECH 2024 Forum. January 2024. Link to PDF
14. J. Bhanpato, A. Behere, and D. N. Mavris, Non-linear Dimensionality Reduction Techniques for Model Order Reduction of Aviation Noise Metrics, AIAA 2023-4061. AIAA AVIATION 2023 Forum, San Diego, CA, June 12-16, 2023. Link to PDF
15. J. Bhanpato, A. Behere, M. Kirby, and D.N. Mavris, Takeoff Ground Roll Analysis of Real-World Operations for Improved Noise Modeling, AIAA 2023-0795. AIAA SCITECH 2023 Forum. National Harbor, MD, January 23-27, 2023. Link to PDF
16. M.V. Bendarkar, J. Bhanpato, T. G. Puranik, M. Kirby, and D. N. Mavris, Comparative Assessment of AEDT Noise Modeling Assumptions Using Real-World Data, AIAA 2022-3917. AIAA AVIATION 2022 Forum. Chicago, IL, June 27-July 1, 2022, AIAA 2022-3917, Link to PDF
17. J. Bhanpato, T. G. Puranik, and D. N. Mavris. Data-Driven Analysis of Departure Procedures for Aviation Noise Mitigation, Engineering Proceedings 13, no. 1: 2. OpenSky Symposium 2021. Brussels, Belgium, November 18-19, 2021. Link to PDF
18. A. Behere, J. Bhanpato, T. G. Puranik, M. Kirby, and D. N. Mavris, Data-driven approach to environmental impact assessment of real-world operations, AIAA 2021-0008. AIAA SCITECH 2021 Forum. Virtual Event, January 11-15 & 19-21, 2021. Link to PDF

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