Clarke, S.S.B., Zhu, Z., He, O., Almache, J., Kalyanam, K.M., and Pai, R., “Natural Language Understanding and Extraction of Flight Constraints Recorded in Letters of Agreement”, AIAA Aviation 2022 Forum, DOI
Puranik, T.G., Rohani, A.S. and Kalyanam, K.M., “An ODE-fitting approach to estimate critical aircraft performance parameters for trajectory prediction”, 41st IEEE/AIAA Digital Avionics Systems Conference (DASC), 2022. DOI
Pradeep, P., Munishkin, A., Kalyanam, K. and Erzberger, H., “Strategic Deconfliction of Small Unmanned Aircraft Using Operational Volume Blocks at Crossing Waypoints”, AIAA SciTech 2023 Forum, DOI
Memarzadeh, M., Puranik, T.G., Kalyanam, K.M., and Ryan, W., “Airport runway configuration management with offline model-free reinforcement learning”, AIAA SciTech 2023 Forum, DOI
Fernandez A., Wesely D., Puranik T., Sharif Rohani A., Kalyanam K., Morin D., “Prediction of Critical Performance Model Parameters from Historical Flight Data”, AIAA SciTech Forum, 2023, DOI
Munishkin, A.A., Pradeep, P., Chour, K., and Kalyanam, K.M., "Traffic Flow Analysis for Package Delivery Drones using a Queueing Model", 42nd IEEE/AIAA Digital Avionics Systems Conference (DASC), 2023. DOI
Puranik, T.G., Memarzadeh, M., and Kalyanam, K.M., “Predicting airport runway configurations for decision-support using supervised learning”, 2023 IEEE/AIAA 42nd Digital Avionics Systems Conference (DASC), Barcelona, Spain, 2023, pp. 1-9, DOI
Rohani, A.S., Puranik, T.G., and Kalyanam, K.M., “Machine Learning based Aircraft Performance Model Estimation for Trajectory Prediction”, 42nd IEEE/AIAA Digital Avionics Systems Conference (DASC), 2023, DOI
Chour, K., Pradeep, P., Munishkin, A.A., and Kalyanam, K.M., “Aerial Vehicle Routing and Scheduling for UAS Traffic Management: A Hybrid Monte Carlo Tree Search Approach”, 42nd IEEE/AIAA Digital Avionics Systems Conference (DASC), 2023. DOI
Wells, J.Z., Puranik, T.G., Kalyanam, K., Kumar, M., “Prediction of aircraft estimated time of arrival using a supervised learning approach”, Modeling, Estimation, and Control Conference (MECC), 2023. DOI
Agrawal, M., Puranik, T.G., Kalyanam, K.M., Mulholland, K. and Tan, R., “Predicting Air Traffic Management Initiatives using Machine Learning”, AIAA SciTech 2024 Forum, DOI
Nethi, S., Memarzadeh, M., and Kalyanam, K. “Optimization of Runway Configurations with Forecast-Augmented Offline Reinforcement Learning”, AIAA SciTech 2024 Forum, DOI
Kalyanam, K, Memarzadeh, M., and Tejasen, K. “Applying Machine Learning Tools for Runway Configuration Decision Support”, International Conference on Research in Air Transportation (ICRAT), Singapore, 2024. PDF
Batra, A., Rajkumar, S. Nielsen, D. L., Clarke, S. S., Kalyanam, K. and Tejasen, K., “Document Classification Techniques for Aviation Letters of Agreement”, AIAA Aviation 2024 Forum. DOI PDF
Steinmetz, H. A., Tao, J., Clarke, S. S., and Kalyanam, K. “A Natural Language Understanding Approach for Digitizing Aircraft Ground Taxi Instructions”, AIAA Aviation 2024 Forum. DOI PDF
Guo, K., Clarke, S. S., and Kalyanam, K., “Inverse Text Normalization of Air Traffic Control System Command Center Planning Telecon Transcriptions”, AIAA Aviation 2024 Forum. DOI PDF
Chour, K., Razzaghi, P., Verma, D., Xue, M., Munishkin, A., and Kalyanam, K., “Analysis of Traffic Flow in Structured Urban Airspace Networks with MFD-based Feedback Control”, AIAA Aviation 2024 Forum. DOI PDF
Nielsen, D., Clarke, S. S., and Kalyanam, K.M., “Towards an Aviation Large Language Model by Fine-tuning and Evaluating Transformers”, 43rd IEEE/AIAA Digital Avionics Systems Conference (DASC), San Diego, CA, 2024.