Embedded Files
Journal Publications
Journal Publications
2026
2026
Centralized and distributed optimization of advanced air mobility strategic traffic management
Joseph Kim, Max Z. Li, Ella M. Atkins, Giovanni Franzini, Khushboo Wadhwani, and Stefano Riverso
Drone Systems and Applications. 14: 1-21, 2026
https://doi.org/10.1139/dsa-2025-0020
Context-Aware Inefficiency of Self-Interested Agents in Unmanned Aerial Vehicle Wildfire Fighting
Parikh, N., Nigam, R., Li, M. Z., & Tran, H. T
Journal of Aerospace Information Systems, 1-13, 2026
https://doi.org/10.2514/1.I011681
Survey of Inverse Reinforcement Learning in Aviation and Future Outlooks
Nigam, R., Choi, J., Parikh, N., Li, M. Z., & Tran, H. T
Journal of Aerospace Information Systems, 23(4), 305-321, 2026
https://arc.aiaa.org/doi/full/10.2514/1.I011635
2025
2025
Design to Deployment: Flight Schedule-Based Analysis of Hybrid Electric Aircraft Variants in U.S. Regional Carrier Operations.
Cassidy, E., Mokotoff, P.R., Deng, Y., Ikeda, M., Kirsch, K., Li, M.Z., Cinar, G.
Aerospace 2025, 12, 598
https://doi.org/10.3390/aerospace12070598
Flight connection planning for low-cost carriers under passenger demand uncertainty
W. Ding, M. Z. Li, E. Itoh
Aerospace. 12(7), 574, June 2025
https://doi.org/10.3390/aerospace12070574
Network-wide resilience metric to enhance traffic flow management decision making
L. A. Weitz, A. J. Frewin, L. Ellis, R. C. Sgorcea, R. Stanley, C. P. Taylor, M. Z. Li
Journal of Air Transportation. June 2025
https://doi.org/10.2514/1.D0497
A convex formulation of game-theoretic hierarchical routing
D. H. Lee, K. Donnel, M. Z. Li, D. Fridovich-Keil
IEEE Control Systems Letters. 9, May 2025
https://doi.org/10.1109/LCSYS.2025.3571655
RecovAir: Model-driven airline scheduling tool for disruption recovery
M. Peng, M. Z. Li
Frontiers in Built Environment. 11, May 2025
https://doi.org/10.3389/fbuil.2025.1545491
Deep reinforcement learning-based air traffic flow coordination in flow-centric airspace
C. Ma, Y. Guleria, S. Alam, M. Z. Li
Advanced Engineering Informatics. 65(D), May 2025
https://doi.org/10.1016/j.aei.2025.103342
Human-AI hybrids in safety-critical systems: Concept, definitions and perspectives from air traffic management
H. Ali, D.-T. Pham, S. Alam, M. Schultz, M. Z. Li, Y. Wang, E. Itoh, V. N. Duong
Advanced Engineering Informatics. 65(B), May 2025
https://doi.org/10.1016/j.aei.2025.103256
A hierarchical spatial and temporal optimisation of the air-high speed rail intermodal network
M. Lu, E. J. Perez, K. Mason, M. Z. Li
Journal of Transport Geography. 123, February 2025
https://doi.org/10.1016/j.jtrangeo.2024.104085
2024
2024
Privacy-aware design and analysis of drone remote identification systems
H. Huang, Y. Fang, B. Mazotti, J. Kim, K. X. Fa, M. Z. Li.
IEEE Transactions on Intelligent Transportation Systems. 25(12), 21455-21468, December 2024
https://doi.org/10.1109/TITS.2024.3456032
Impacts of COVID-19 on air traffic control and air traffic management: A review.
A. Kamat, M. Z. Li.
Sustainability. 16(15), 6667, August 2024
https://doi.org/10.3390/su16156667
Autonomous vehicle impacts on airport leakage with demand forecasting and environment implications.
S. Karam, M. S. Ryerson, A. M. Kim, M. Z. Li.
Transportation Research Part D: Transport and Environment. 133, August 2024
https://doi.org/10.1016/j.trd.2024.104268
2023
2023
Drone delivery and the value of customer privacy: A discrete choice experiment with U.S. consumers.
A. Berke, G. Ding, C. Chin, K. Gopalakrishnan, K. Larson, H. Balakrishnan, M. Z. Li.
Transportation Research Part C: Emerging Technologies. 157, December 2023
https://doi.org/10.1016/j.trc.2023.104391
Deep learning framework for forecasting en route airspace emissions considering temporal-spatial correlation.
J. Wan, H. Zhang, Q. Zhang, M. Z. Li, Y. Xu.
Science of The Total Environment. 905, December 2023
https://doi.org/10.1016/j.scitotenv.2023.166986
2022
2022
Timescales of delay propagation in airport networks.
Y. Wang, M. Z. Li, K. Gopalakrishnan, T. Liu.
Transportation Research Part E: Logistics and Transportation Review. 161, May 2022
https://doi.org/10.1016/j.tre.2022.102687
2021
2021
FADS: A Framework for Autonomous Drone Safety using temporal logic-based trajectory planning.
Y. V. Pant, M. Z. Li, R. A. Quaye, A. Rodionova, H. Abbas, M. S. Ryerson, R. Mangharam.
Transportation Research Part C: Emerging Technologies. 130, September 2021
https://doi.org/10.1016/j.trc.2021.103275
Dynamics of disruption and recovery in air transportation networks.
Invited paper from ICRAT 2020, Best Paper: System Performance
M. Z. Li, K. Gopalakrishnan, S. H. Shin, D. Jalan, A. Nandi, H. Balakrishnan, L. Marla.
CEAS Aeronautical Journal. July 2021
https://doi.org/10.1007/s13272-021-00521-x
Network-centric benchmarking of operational performance in aviation.
K. Gopalakrishnan, M. Z. Li, H. Balakrishnan.
Transportation Research Part C: Emerging Technologies. 126, May 2021
https://doi.org/10.1016/j.trc.2021.103041
Graph signal processing techniques for analyzing aviation disruptions.
M. Z. Li*, K. Gopalakrishnan*, K. Pantoja, H. Balakrishnan (* co-first authors).
Transportation Science. March 2021
https://doi.org/10.1287/trsc.2020.1026
Understanding the role of online media platforms in airport capital projects and community outreach.
M. Z. Li, M. S. Ryerson.
Transportation Research Record: Journal of the Transportation Research Board. February 2021
https://doi.org/10.1177/0361198121993474
2019
2019
Topological data analysis for aviation applications.
M. Z. Li, M. S. Ryerson, H. Balakrishnan.
Transportation Research Part E: Logistics and Transportation Review. 128, 149-174, August 2019
https://doi.org/10.1016/j.tre.2019.05.017
An integrated surface-airspace model of airport departures.
S. Badrinath, M. Z. Li, H. Balakrishnan.
Journal of Guidance, Control, and Dynamics. 42(5), 1049-1063, May 2019
http://dx.doi.org/10.2514/1.G003964
Reviewing the DATAS of aviation research data: Diversity, availability, tractability, applicability, and sources.
M. Z. Li, M. S. Ryerson.
Journal of Air Transport Management. 75, 111-130, March 2019
https://doi.org/10.1016/j.jairtraman.2018.12.004
2018
2018
Visualizing aviation impacts: Modeling current and future flight trajectories with publicly available flight data.
M. Z. Li, D. Suh, M. S. Ryerson.
Transportation Research Part D: Transport and Environment. 63, 769-785. August 2018
https://doi.org/10.1016/j.trd.2018.07.009
2017
2017
A data-driven approach to modeling high-density terminal areas: A scenario analysis of the new Beijing, China airspace.
M. Z. Li, M. S. Ryerson
Chinese Journal of Aeronautics. 30(2), 538-553, April 2017
Conference Publications
Conference Publications
2026
2026
Adaptive Robust Markov Decision Process for Wide-Area Surveillance With Collaborative Combat Aircraft.
Choi, J., Li, M., & Li, M. Z.
In AIAA SCITECH 2026 Forum (p. 2884)
https://doi.org/10.2514/6.2026-2884
2025
2025
Rare event modeling with self-regularized normalizing flows: what can we learn from a single failure?
Charles Dawson, Van Tran, Max Z Li, and Chuchu Fan.
The Thirteenth International Conference on Learning Representations, 2025, Singapore
https://arxiv.org/pdf/2502.21110
Detecting Learning Dynamics in Graph Transformers via Spectral Deviations.
Sydney Dolan, Max Z Li.
The Fourth Learning on Graphs Conference 2025, Tempe, Arizona
https://openreview.net/pdf?id=dubWNqfasD
Pathfinders in the sky: Formal decision-making models for collaborative air traffic control in convective weather.
Jimin Choi, Kartikeya Anand, Husni R. Idris, Huy T. Tran, Max Z. Li.
In IEEE International Conference on Intelligent Transportation Systems (ITSC) 2025, Gold Coast, Australia
https://arxiv.org/abs/2505.01804
Bi-Level Route Optimization and Path Planning with Hazard Exploration.
Jimin Choi, Grant Stagg, Cammy Peterson, Max Z. Li.
In IEEE Conference on Decision and Control (CDC) 2025, Rio de Janeiro, Brazil
https://ieeexplore.ieee.org/document/11312588
Generative stress-testing for air traffic management resilience.
S. Abdulhak, Y. Miao, C. Lee, W. Hubbard, A. S. Estes, M. Z. Li.
1st US-Europe Air Transportation Research and Development Symposium (Doctoral Symposium). Prague, Czech Republic. Accepted April 2025. Forthcoming.
Optimization-guided exploration of Advanced Air Mobility congestion management strategies with stochastic demands.
H. Wu, L. A. Weitz, J. M. Henderson, M. Z. Li.
1st US-Europe Air Transportation Research and Development Symposium. Prague, Czech Republic. Accepted April 2025. Forthcoming.
Weather-Integrated Optimization of Uncrewed Aerial System Routing for Precision Agriculture.
Ethan Kolby, Jack R. Liddle, Benjamin L. Magocs, Max Z. Li.
In AIAA Aviation Forum and ASCEND July 2025
https://arc.aiaa.org/doi/abs/10.2514/6.2025-3566
Using Agents to Evaluate Performance and Ambiguity of Decentralized Advanced Air Mobility Operating Practices.
Henderson, Jeffrey M., Erin Bongo, Thomas Adcock, Lesley A. Weitz, Haochen Wu, and Max Z. Li.
In AIAA AVIATION FORUM AND ASCEND 2025, p. 3245. 2025.
https://doi.org/10.2514/6.2025-3245
Bandit-Enabled Dynamic Drone Dispatch and Routing in Hazardous Environments.
Jimin Choi, Max Z. Li.
In AIAA AVIATION Forum 2025, Las Vegas, USA
https://arc.aiaa.org/doi/abs/10.2514/6.2025-3411
Adaptive power management optimization of regional hybrid-electric aircraft.
E. Smith, Y. Liu, K. Kirsch, M. Z. Li, G. Çınar.
2025 IEEE Transportation Electrification Conference and Expo + Electric Aircraft Technologies Symposium (ITEC + EATS 2025). Accepted February 2025. Forthcoming.
Full airline network fleet assignment model with hybrid electric aircraft uptake.
B. Chan, A. Kamat, H. Wu, A. Sharma, K. Kirsch, G. Çınar, M. Z. Li.
2025 IEEE Transportation Electrification Conference and Expo + Electric Aircraft Technologies Symposium (ITEC + EATS 2025)
https://ieeexplore.ieee.org/abstract/document/11098001
Strategic staging and allocation of multimodal capacity for humanitarian logistics.
S. Rana, M. M. Borrero, M. Z. Li.
Transportation Research Symposium 2025. Accepted February 2025. Forthcoming.
The impacts of multimodal network design on air transportation resilience under disruptions.
M. M. Borrero, M. Z. Li.
Transportation Research Symposium 2025
https://doi.org/10.1016/j.trpro.2025.12.093
Few-shot anomaly diagnosis with calibrated normalizing flows: What can we learn from a single failure?
C. Dawson, V. Tran, M. Z. Li, C. Fan.
13th International Conference on Learning Representations (ICLR 2025). Accepted January 2025. Forthcoming.
Scheduling and routing for multi-modal last-mile delivery under multiple uncertainties.
M. Chen, A. Li, M. Z. Li.
12th Triennial Symposium on Transportation Analysis (TRISTAN XII). Accepted January 2025.
https://tristan2025.org/proceedings/TRISTAN2025_ExtendedAbstract_447.pdf
A Survey of Current Applications of Inverse Reinforcement Learning in Aviation and Future Outlooks.
Nigam, R., Choi, J., Parikh, N., Li, M.Z. and Tran, H., 2025.
In AIAA SCITECH 2025 Forum (p. 1540)
https://doi.org/10.2514/6.2025-1540
Predicting social cost from the interaction of self-interested reinforcement learning agents.
N. Parikh, R. Nigam, M. Z. Li, H. T. Tran.
AIAA SciTech Forum. Orlando, FL. January 2025. Forthcoming.
Managing congestion in advanced air mobility operations using a bi-level optimization approach.
Wu, H., Li, M.Z., Henderson, J., Bongo, E.M. and Weitz, L.A.
In AIAA SCITECH 2025 Forum (p. 0582), 2025
https://doi.org/10.2514/6.2025-0582
Strategic Demand Management in U-Space With RTTA Controls.
Hluska, Pavel, Max Z. Li, Tatiana Polishchuk, Valentin Polishchuk, and Leonid Sedov.
In AIAA SCITECH 2025 Forum, p. 0218. 2025
https://itn-web.it.liu.se/~valpo40/pages/SciTech.pdf
2024
2024
ChatATC: Large language model-driven agents for strategic and tactical air traffic management and control.
S. Abdulhak, R. Govindjee, N. Tran, W. Hubbard, K. Gopalakrishnan, M. Z. Li.
Conference in Emerging Technologies in Transportation Systems (TRC-30). Crete, Greece
Accepted June 2024. Forthcoming.
ChatATC: Large language model-driven conversational agents for supporting strategic air traffic flow management.
S. Abdulhak, W. Hubbard, K. Gopalakrishnan, M. Z. Li. “
11th International Conference on Research in Air Transportation. Singapore. July 2024.
http://arxiv.org/abs/2402.14850
User feedback-informed interface design for Flow Management Data and Services (FMDS).
S. Abdulhak, A. T. Carvette, K. W. Shen, R. Goldman, B. Tuck, M. Z. Li.
11th International Conference on Research in Air Transportation. Singapore. July 2024.
http://arxiv.org/abs/2402.12635
Spaceport facility location planning within the US National Airspace System.
H. Wu, K. R. Sun, J. A. Miller, O. Jia-Richards, M. Z. Li.
11th International Conference on Research in Air Transportation. Singapore. July 2024.
http://arxiv.org/abs/2402.11389
Distributionally robust ground delay programs with learning-driven airport capacity predictions.
H. Wu, X. Zhu, S. Li, Y. Zhou, L. Li, M. Z. Li.
11th International Conference on Research in Air Transportation. Singapore. July 2024.
http://arxiv.org/abs/2402.11415
Probing and modeling large-scale airline network disruptions: 2022 Southwest Airlines scheduling crisis.
M. Peng, A. Kamat, C. Dawson, V. Tran, C. Fan, M. Z. Li.
34th Congress of the International Council of the Aeronautical Sciences. Florence, Italy.
Accepted March 2024. Forthcoming.
Optimizing fleet assignment decisions for regional airlines with hybrid electric aircraft uptake.
Chan, B., Deng, Y., Tran, N., Wu, H., Ikeda, M., Cinar, G. and Li, M.Z.
In the 34th Congress of the International Council of the Aeronautical Sciences. 2024, August.
https://www.icas.org/icas_archive/icas2024/data/papers/icas2024_0781_paper.pdf
Development of a plume evolution model for launch vehicle ground cloud deposition.
Wongprapinkul, N., Johnson, A.W., Li, M.Z., Jia-Richards, O. and Cinar, G., 2024.
In AIAA AVIATION FORUM AND ASCEND 2024 (p. 4942).
https://doi.org/10.2514/6.2024-4942
A Review of Documented Community Impacts Due to Spaceport Development.
Olson, S., Cinar, G., Li, M.Z., Jia-Richards, O. and Johnson, A.W.
In AIAA AVIATION FORUM AND ASCEND 2024 (p. 4928). 2024
https://doi.org/10.2514/6.2024-4928
Development of a Qualitative Model for Predicting Soil Acidification due to Solid Rocket Motor Exhaust.
Stevens, M.C., Johnson, A.W., Li, M.Z., Cinar, G. and Jia-Richards, O., 2024.
In AIAA AVIATION FORUM AND ASCEND 2024 (p. 4943).
https://doi.org/10.2514/6.2024-4943
Natural Disaster-Resilient Spaceport Network Planning.
Wu, H., Lin, Y.S., Sun, K.R., Koduru, T., Cinar, G., Johnson, A.W., Jia-Richards, O. and Li, M.Z.
In AIAA AVIATION FORUM AND ASCEND 2024 (p. 4930). 2024.
https://arc.aiaa.org/doi/10.2514/6.2024-4930
Machine Learning and Optimization Pipeline for Agricultural Drone Aerial Imaging Operations.
Ni, X., Peng, M., Magocs, B.L., Weigel, A., Davis, T., Graham, M., Brinton, C. and Li, M.Z.
In AIAA AVIATION FORUM AND ASCEND 2024 (p. 3657). 2024
https://doi.org/10.2514/6.2024-3657
Who experiences flight delay? Ground to air data integration for human-centered performance measures.
S. Lim, F. A. Shaw, M. Z. Li.
17th International Conference on Travel Behavior Research (IATBR2024). Vienna, Austria.
Accepted February 2024. Forthcoming.
Strategic deconfliction and corridor optimization in centralized and distributed AAM traffic management.
J. Kim, M. Z. Li, E. M. Atkins.
ICAO First Advanced Air Mobility Symposium (AAM 2024). Montréal, Canada.
Accepted January 2024. Forthcoming.
Exploration-exploitation guided drone dispatch strategies in uncertain environments.
S. Wei, S. S. Phanse, T. Koduru, M. Chen, D. W. Yeo, M. Z. Li.
AIAA SciTech Forum. Orlando, FL. January 2024.
https://doi.org/10.2514/6.2024-1079
NAS traffic flow management decision-making capability with network-wide resilience metrics.
L. A. Weitz, M. Z. Li, A. J. Frewin, L. Ellis, R. C. Sgorcea, Y. Park, C. P. Taylor.
AIAA SciTech Forum. Orlando, FL. January 2024.
https://doi.org/10.2514/6.2024-0573
Autonomous orbital slot maintenance with impulsive maneuvers and reinforcement learning.
Y. Cheng, M. Z. Li, O. Jia-Richards.
AIAA SciTech Forum. Orlando, FL. January 2024.
https://doi.org/10.2514/6.2024-1812
2023
2023
Drone delivery routing with stochastic urban wind.
M. Chen, A. W. Smyth, M. G. Giometto, M. Z. Li.
26th IEEE Intelligent Transportation Systems Conference (ITSC 2023). Bilbao, Spain. September 2023.
https://doi.org/10.1109/ITSC57777.2023.10422533
Remote identification trajectory coverage for Urban Air Mobility applications.
H. Huang*, B. Mazotti*, J. Kim, M. Z. Li (* co-first authors).
15th Air Traffic Management Research and Development Seminar. Savannah, GA. June 2023.
https://arxiv.org/pdf/2302.09653
Environmental impacts of aircraft reroutes from long-term airspace closures.
C. An, B. Chan, M. Z. Li.
AIAA AVIATION Forum. San Diego, CA. June 2023.
https://doi.org/10.2514/6.2023-4217
Operational analysis for hybrid electric aircraft fleets: A feasibility study for the short- and medium-haul markets.
Y. Deng, A. Kryuchkov, P. R. Mokotoff, M. Z. Li, G. Cinar.
AIAA AVIATION Forum. San Diego, CA. June 2023.
https://doi.org/10.2514/6.2023-3868
Adaptable graph networks for air traffic analysis applications.
J. Hoffman, M. Z. Li, S. Holdren.
2023 Integrated Communications, Navigation and Surveillance Conference (ICNS). Herndon, VA. April 2023.
https://doi.org/10.1109/ICNS58246.2023.10124325
Best-in-Track Award
Learning-driven airspace congestion pricing for Advanced Air Mobility.
B. Wang, Z. Deng, X. Ni, K. B. Smith, M. Z. Li, R. Saigal.
AIAA SciTech Forum. National Harbor, MD. January 2023.
https://doi.org/10.2514/6.2023-0547
Aggregate network model with resilience considerations for air traffic flow management.
A. J. Frewin, M. Z. Li, C. P. Taylor, L. A. Weitz.
AIAA SciTech Forum. National Harbor, MD. January 2023.
https://doi.org/10.2514/6.2023-0733
2022
2022
Distributed traffic flow management for uncrewed aircraft systems.
C. Chin, M. Z. Li, Y. V. Pant.
25th IEEE Intelligent Transportation Systems Conference (ITSC 2022). Macau, China. October 2022.
https://doi.org/10.1109/ITSC55140.2022.9922227
Airline disruption management with delay ledgers.
C. Chin, K. Gopalakrishnan, H. Balakrishnan, M. Z. Li.
10th International Conference on Research in Air Transportation. Tampa, FL. June 2022.
Best Paper: Network Management
Routing with privacy for drone package delivery systems.
G. Ding, A. Berke, K. Gopalakrishnan, K. H. Degue, H. Balakrishnan, M. Z. Li.
10th International Conference on Research in Air Transportation. Tampa, FL. June 2022.
https://doi.org/10.48550/arXiv.2203.04406
Best Paper: UAS/UAM/AAM
2021
2021
Differentially private outlier detection in correlated data.
K. H. Degue, K. Gopalakrishnan, M. Z. Li, H. Balakrishnan.
60th IEEE Conference on Decision and Control. Austin, TX. December 2021.
https://doi.org/10.1109/CDC45484.2021.9683118
Airport ground holding with hierarchical control objectives.
C. Chin*, M. Z. Li*, K. Gopalakrishnan, H. Balakrishnan (* co-first authors).
14th Air Traffic Management Research and Development Seminar. New Orleans, LA. September 2021.
https://par.nsf.gov/servlets/purl/10311846
Differentially private outlier detection in multivariate Gaussian signals.
K. H. Degue, K. Gopalakrishnan, M. Z. Li, H. Balakrishnan, J. Le Ny.
2021 American Control Conference. New Orleans, LA. May 2021.
https://doi.org/10.23919/ACC50511.2021.9483171
2020
2020
Approximate projection-based control of networks.
M. Z. Li, K. Gopalakrishnan, H. Balakrishnan.
59th IEEE Conference on Decision and Control. Jeju, South Korea. December 2020.
https://doi.org/10.1109/CDC42340.2020.9304414
Spatial delay distributions in Chinese airline networks.
M. Z. Li, K. Gopalakrishnan, Y. Wang.
AIAA AVIATION Forum. Reno, NV. June 2020.
https://doi.org/10.2514/6.2020-2857
Outlier analysis of airport delay distributions in US and China.
M. Z. Li*, K. Gopalakrishnan*, Y. Wang, H. Balakrishnan (* co-first authors).
IEEE Artificial Intelligence and Data Analytics in Air Transportation. Singapore. February 2020.
https://doi.org/10.1109/AIDA-AT48540.2020.9049208
2019
2019
Identification of outliers in graph signals.
K. Gopalakrishnan, M. Z. Li, H. Balakrishnan.
58th IEEE Conference on Decision and Control. Nice, France. December 2019.
https://doi.org/10.1109/CDC40024.2019.9029478
A spectral approach towards analyzing airport performance and disruptions.
M. Z. Li, K. Gopalakrishnan, K. Pantoja, H. Balakrishnan.
13th Air Traffic Management Research and Development Seminar. Vienna, Austria. June 2019.
Best Paper: Performance Analysis and Metrics
Design and implementation of a centralized system for autonomous unmanned aerial vehicle trajectory conflict resolution.
M. Z. Li, W. R. Tam, S. M. Prakash, J. F. Kearney, M. S. Ryerson, D. Lee, Y. V. Pant.
IEEE National Aerospace & Electronics Conference. Dayton, OH. July 2018.
https://doi.org/10.1109/NAECON.2018.8556719
Best Student Paper
2018
2018
Detection of individual anomalous arrival trajectories within the terminal airspace using persistent homology.
M. Z. Li, M. S. Ryerson.
8th International Conference on Research in Air Transportation. Barcelona, Spain. June 2018.
Novel terminal arrival airspace robustness metrics via topological density clustering.
M. Z. Li, M. S. Ryerson.
8th International Conference on Research in Air Transportation. Barcelona, Spain. June 2018.
2017
2017
Modeling and estimating airspace movements using air traffic control transcription data: A data-driven approach.
M. Z. Li, M. S. Ryerson.
7th International Conference on Research in Air Transportation. Philadelphia, PA. June 2016.
Technical reports
Technical reports
Updated plan for validating machine learning (ML)-derived aircraft performance models (APMs): Examining enhancements to trajectory modelers supplemented with ML-derived APMs.
The MITRE Corporation (K. Steinbach, V. Kuo, M. Z. Li, R. S. Chong, S. Kamine, S. Mondoloni)
MP220191, March 2022
A plan for validating machine learning (ML)-derived aircraft performance models (APMs).
The MITRE Corporation (K. Steinbach, V. Kuo, M. Z. Li, R. S. Chong, S. Kamine, S. Mondoloni)
MP210941, October 2021
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