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Astrodynamics, Space ScIence, and Space Technology (ASSIST) Laboratory
Dr. Piyush Mehta
Statler College of Engineering and Mineral Resources
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Publications

Archival Journal Publications

  1. Nathaniel Michek, Piyush M. Mehta, and Wade Huebsch. Flight Dynamic Uncertainty Quantification Modeling using Physics-Informed Neural Networks. AIAA Journal, in press, 2024.
  2. Alfredo Cruz, Piyush M. Mehta, Steven K. Morley, and Humberto C. Godinez, Reduced-Order Probabilistic Emulation of Physics-Based Ring Current Models: Application on RAM-SCB Particle Flux. e2023SW003706, 22(6), 2024.
  3. Joshua Daniell and Piyush M. Mehta. Probabilistic Short-Term Solar Driver Forecasting with Neutral Network Ensembles. Space Weather, e2023SW003785, 22(3), 2024.
  4. Atefeh Khoshkhahtinat, Ali Zafari, Jeremy A. Grajeda, Piyush M. Mehta, Nasser Nasrabadi, Laura E. Boucheron, Barbara J. Thompson, Daniel da Silva, and Michael F. Kirk. Neural-based Video Compression on Solar Dynamics Observatory Images. IEEE Transactions on Aerospace and Electronic System (TAES), 60(5), 2024.
  5. Ali Zafari, Atefeh Khoshkhahtinat, Jeremy A. Grajeda, Piyush M. Mehta, Nasser Nasrabadi, Laura E. Boucheron, Barbara J. Thompson, Daniel da Silva, and Michael F. Kirk. Neural-based Compression Scheme for Solar Image Data. IEEE Transactions on Aerospace and Electronic System (TAES), 60(1), 2024.
  6. Piyush M. Mehta, Smriti N. Paul, Nicholas H. Crisp, Philip L. Sheridan, Christian Siemes, Günther March, and Sean Bruinsma. Satellite drag coefficient modeling for thermosphere science and mission operations. Advances in Space Research, 72(12), 2023.
  7. Joshua Daniell and Piyush M. Mehta. Probabilistic Solar Proxy Forecasting with Neural Network Ensembles. Space Weather, e2023SW003675, 21(9), 2023.
  8. Homayon Aryan, Jacob Bortnik, W. Kent Tobiska, Piyush M. Mehta, and Rashmi Siddalingappa. Enhanced radiation levels at aviation altitudes and their relationship to plasma waves in the inner magnetosphere. Space Weather, 21(10), e2023SW003477, 2023.
  9. Smriti Nandan Paul, Philip L. Sheridan, Richard J. Licata, and Piyush M. Mehta. Stochastic modeling of physical drag coefficient - its impact on orbit prediction and space traffic management. Advances in Space Research, 72(4), 2023.
  10. Sean Bruinsma, Thierry Dudok de Wit, Tim Fuller-Rowell, Katherine Garcia-Sage, Piyush M. Mehta, et. al. Thermosphere and Satellite Drag. Advances in Space Research, in press, 2023. 
  11. Daniel R. Weimer, Piyush M. Mehta, Richard J. Licata, W. Kent Tobiska. Global Variations in the Time Delays Between Polar Ionospheric Heating and the Neutral Density Response. Space Weather, e2022SW003410, 21(4), 2023. 
  12. Smriti Nandan Paul, Richard J. Licata, and Piyush M. Mehta. Advanced ensemble modeling method for space object state prediction accounting for uncertainty in atmospheric density. Advances in Space Research, 71(6), 2023.
  13. Richard J, Licata and Piyush M. Mehta, Reduced Order Probabilistic Emulation for Physics-Based Thermosphere Models. Space Weather, 21(5), e2022SW003347, 2022.
  14. Richard J. Licata, Piyush M. Mehta, Daniel R. Weimer, W. Kent Tobiska, and Jean Yoshii. MSIS-UQ: Calibrated and Enhanced NRLMSIS 2.0 Model with Uncertainty Quantification. Space Weather, 20(11), e2022SW003267, 2022.
  15. Richard J. Licata, Piyush M. Mehta, Daniel R. Weimer, Douglas P. Drob, W. Kent Tobiska, and Jean Yoshii. Science Through Machine Learning: Quantification of Poststorm Thermospheric Cooling. Space Weather, 20, e2022SW003189,2022.
  16. Richard J. Licata and Piyush M. Mehta. Uncertainty Quantification Techniques for Space Weather Modeling: Thermospheric Density Application. Scientific Reports, 12(7256), 2022.
  17. Richard J. Licata, Piyush M. Mehta, W. Kent Tobiska, and Snehalata Huzurbazar. Machine-Learned HASDM Thermospheric Mass Density Model with Uncertainty Quantification. Space Weather, 20(4), e2021SW002915, 2022.
  18. Philip L. Sheridan, Smriti Nandan Paul, Guillermo Avendaño-Franco, and Piyush M. Mehta. Updates and improvements to the satellite drag coefficient Response Surface Modeling toolkit. Advances in Space Research, 69(10), 2022.
  19. Richard J. Licata, Piyush M. Mehta, Daniel R. Weimer, and W. Kent Tobiska. Improved Neutral Density Predictions through Machine Learning Enabled Exospheric Temperature Model. Space Weather, 19(12), e2021SW002918, 2021.
  20. Daniel R. Weimer, W. Kent Tobiska, Piyush M. Mehta, Richard J. Licata, Douglas Drob, and Jean Yoshii. Comparison of a Neutral Density Model With the SET HASDM Density Database. Space Weather, 19(12), e2021SW002888, 2021.
  21. Denny M. Oliveira, Eftyhia Zesta, Piyush M. Mehta, Richard J Licata, Marcin D. Pilinski, W. Kent Tobiska, and Hisashi Hayakawa. The Current State and Future Directions of Modeling Thermosphere Density Enhancements During Extreme Magnetic Storms. Frontiers in Astronomy and Space Sciences, 8:764144, 2021.
  22. Richard J. Licata, Piyush M. Mehta, W. Kent Tobiska, Bruce R. Bowman, and Marcin D. Pilinski. Qualitative and Quantitative Assessment of the SET HASDM Database. Space Weather, 19(8), e2021SW002798, 2021.
  23. W. Kent Tobiska, Bruce R. Bowman, S. David Bouwer, Alfredo Cruz, Kaiya Wahl, Marcin D. Pilinski, Piyush M. Mehta, and Richard J. Licata. The SET HASDM Density Database. Space Weather, 19(4), e2020SW002682, 2020.
  24. Richard J. Licata, W. Kent Tobiska, and  Piyush M. Mehta. Benchmarking Forecasting Models for Space Weather Drivers. Space Weather, e2020SW002496,18(10), 2020.
  25. Piyush M. Mehta and Richard Linares. Real-Time Thermospheric Density Estimation from Satellite Position Measurements. Journal of Guidance, Control, and Dynamics, 43(9), 2020.
  26. Daniel Weimer, Piyush M. Mehta, et al. Improving Neutral Density Predictions Using Exospheric Temperatures Calculated on a Geodesic, polyhedral Grid. Space Weather, 18(1), e2019SW002355, 2019.
  27. Piyush M. Mehta, Richard Linares, and Eric K. Sutton. Data-driven investigation of thermosphere composition during solar minimum conditions. Space Weather, 17(9), 2019.
  28. E. Ceren Kalafatoglu Eyiguler, J. S. Shim, M. M. Kuznetsova, Z. Kaymaz, B. R. Bowman, M. V. Codrescu, S. C. Solomon, T. J. Fuller-Rowell, A. J. Ridley, P. M. Mehta, and E. K. Sutton. Quantifying the Storm Time Thermospheric Neutral Density Variations Using Model and Observations. Space Weather, 17(2), 2019.
  29. Piyush M. Mehta and Richard Linares. A new transformative framework for data assimilation and calibration of physical ionosphere-thermosphere models. Space Weather, 16(8), 2018.
  30. Piyush M. Mehta, Richard Linares and Eric K. Sutton. A Quasi‐Physical Dynamic Reduced Order Model for Thermospheric Mass Density via Hermitian Space‐Dynamic Mode Decomposition. Space Weather, 16(5), 2018.
  31. Piyush M. Mehta, Richard Linares, and Andrew Walker. Photometric Data from Non-Resolved Objects for Improved Drag and Re-entry Prediction. Journal of Spacecraft and Rockets, 55(4) 2018.
  32. Piyush M. Mehta and Richard Linares. A methodology for reduced order modeling and calibration of the upper atmosphere. Space Weather, 15(10), 2017.
  33. Piyush M. Mehta, Andrew C. Walker, Eric K. Sutton and Humberto C. Godinez. New density estimates derived using accelerometers on-board the CHAMP and GRACE satellites. Space Weather, 15(4), 2017.
  34. Piyush M. Mehta, Martin Kubicek, Edmondo Minisci and Massimiliano Vasile. Sensitivity Analysis and Probabilistic Re-entry Modeling for Debris using High Dimensional Model Representation based Uncertainty Treatment. Advances in Space Research, 59(1), 2017.
  35. Piyush M. Mehta, Andrew Walker, Earl Lawrence, Richard Linares, Dave Higdon and Josef Koller. Modeling Satellite Drag Coefficients with Response Surfaces. Advances in Space Research, 54(8), 2014.
  36. Piyush M. Mehta, Craig A. McLaughlin and Eric K. Sutton. A Drag Coefficient Model for GRACE developed using Direct Simulation Monte Carlo. Advances in Space Research, 52(12), 2013.
  37. Andrew Walker, Piyush M. Mehta and Josef Koller. Drag Coefficient Model using the Cercignani-Lampis-Lord Gas-Surface Interaction Model. Journal of Spacecraft and Rockets, 51(5), 2014.
  38. Andrew Walker, Piyush M. Mehta and Josef Koller. Different Implementations of Diffuse Reflection with Incomplete Accommodation for Drag Coefficient Modeling. Journal of Spacecraft and Rockets, 51(5), 2014.
  39. Piyush M. Mehta, Andrew Walker, Craig A. McLaughlin and Josef Koller. Comparing Physical Drag Coefficients Computed with Direct Simulation Monte Carlo using different Gas-Surface Interaction Models. Journal of Spacecraft and Rockets, 51(3), 2014.

Peer-Reviewed Conference Proceedings

  1. Richard J. Licata, and Piyush M Mehta. Deep Learning based Nonlinear Dimensionality Reduction for Emulators of Numerical Thermosphere Density Models. IEEE World Congress on Computational Intelligence, Yokohama, Japan, July 2024.
  2. Atefeh Khoshkhahtinat, Ali Zafari, Piyush M. Mehta, Nasser M. Nasrabadi. Laplacian-guided Entropy Model in Neural Codec with Blur-dissipated Synthesis. Conference on Computer Vision and Pattern Regocnition (CVPR), Seattle, WA, 2024.
  3. Atefeh Khoshkhahtinat, Ali Zafari, Piyush M. Mehta, Nasser M. Nasrabadi, Barbara J. Thompson, Daniel Da Silva, and Michael S. Kirk. Context-aware Neural Video Compression on Solar Dynamics Observatory. 22nd IEEE International Conference on Machine Learning and Applications (ICMLA), Jacksonville, FL, December 2023.
  4. Ali Zafari, Atefeh Khoshkhahtinat, Piyush M. Mehta, Nasser M. Nasrabadi, Barbara J. Thompson, Daniel Da Silva, and Michael S. Kirk. Multi-spectral Entropy Constrained Neural Compression of Solar Imagery. 22nd IEEE International Conference on Machine Learning and Applications (ICMLA), Jacksonville, FL, December 2023.
  5. Atefeh Khoshkhahtinat, Ali Zafari, Piyush M. Mehta, Mohammad Akyash, Hossein Kashiani, and Nasser M. Nasrabadi. Multi-Context Dual Hyper-Prior Neural Image Compression. 22nd IEEE International Conference on Machine Learning and Applications (ICMLA), Jacksonville, FL, December 2023.
  6. Ali Zafari, Atefeh Khoshkhahtinat, Piyush M. Mehta, Mohammad S. E. Saadabadi, Mohammad Akyash, and Nasser M. Nasrabadi. Frequency Disentangled Features in Neural Image Compression. 30th IEEE Conference on Image Processing (ICIP), Kuala Lampur, Malaysia, October 2023.
  7. Nathaniel Michek, Piyush M. Mehta, and Wade Huebsch. Methodology Development of a Free-Flight Parameter Estimation Technique Using Physics-Informed Neural Networks. 44th IEEE Aerospace Conference, 2023.
  8. Ali Zafari, Atefeh Khoshkhahtinat, Piyush M. Mehta , Nasser M. Nasrabadi, Barbara J. Thompson, Daniel da Silva, and Michael S. F. Kirk. Attention-Based Generative Neural Image Compression on Solar Dynamics Observatory. 21st IEEE International Conference on Machine Learning and Applications, Bahamas, December 2022.

Conference Proceedings (with presentations)

  1. Nathaniel Michek, Piyush M. Mehta, Wade Huebsch. Initial Development of Aerodynamic Models for Tumbling Aerodynamic Bodies. AIAA SciTech, Orlando, FL, January 2025.
  2. Rachit Bhatia, Gerardo Josue Rivera Santos, Jacob D. Griesbach, and Piyush M. Mehta. A Novel Stochastic Unscented Transform for Probabilistic Drag Modeling and Conjunction Assessment. AMOS Conference, Maui, HI, September 2024.
  3. Gerardo Josue Rivera Santos, Jacob D. Griesbach, Rachit Bhatia, and Piyush M. Mehta. A Novel Stochastic Unscented Transform for Robust State Estimation Enabling Enhanced Space Domain Awareness. AMOS Conference, Maui, HI, September 2024.
  4. Thomas L. Dearing, Jacob Griesbach, and Piyush M. Mehta. Robust Strategies for Incorporating Parameter Uncertainty in Constrained Admissible Regions. AMOS Conference, Maui, HI, September 2024.
  5. Kristine Rosfjord, Kristen Shavlik, Jeremy Kolansky, W.J. Mandeville, and Piyush M. Mehta. Exploring soliton enhancement for ground-based detection of lethal non-trackable debris. AMOS Conference, Maui, HI, September 2024.
  6. Rafael Polanco, Scott Zemerick, and Piyush M. Mehta. Implementing a Neural Network Execution Framework for Deep Learning Space Application. Small Satellite, Logan, UT, August 2024.
  7. Joshua Daniell, Piyush M. Mehta, Gerardo Rivera Santos, Richard J. Licata, and Smriti N. Paul. Sources of uncertainty in drag modeling and its effect on predicted stated covariance. Second International Orbital Debris Conference, Houston, TX, December 2023.
  8. Smriti Paul, Piyush M. Mehta, Thomas Kelecy, and Ryan Coder. Probabilistic Space Weather Modeling and its impact on Space Situational Awareness and Space Traffic Management. Advanced Maui Optical and Space Surveillance Technologies (AMOS), Maui, HI, September 2023.
  9. Smriti Paul, Richard J. Licata, and Piyush M. Mehta. Advanced ensemble modeling method for space object state prediction accounting for uncertainty in atmospheric density. AIAA/AAS Spaceflight Mechanics Conference, Austin, TX, January 2023. 
  10. Smriti Nandan Paul and Piyush M. Mehta. Development of Methodologies for Modeling and Estimation of Drag Parameters using Physics-Informed Neutral Network. 2022 AAS/AIAA Astrodynamics Specialist Conference 2022.
  11. Smriti Nandan Paul, Philip L. Sheridan, Piyush M. Mehta, and Snehalata Huzurbazar. Satellite Drag Coefficient Modeling and Orbit Uncertainty Quantification using Stochastic Machine Learning Techniques. 2021 AAS/AIAA Astrodynamics Specialist Conference, 2021.
  12. Nicholas Sia and Piyush M. Mehta. Next-Generation Aerothermodynamic Modeling for Space Debris using Deep Learning. 8th European Conference on Space Debris, April 2021.
  13. Richard J. Licata, Piyush M. Mehta, and W. Kent Tobiska. Impact of Model and Driver Uncertainty on Drag and Orbit Prediction. 31st AAS/AIAA Space Flight Mechanics Meeting, February 2021.
  14. Craig A. McLaughlin, Alex Sizemore, and Piyush M. Mehta. Precision Orbit-Derived Atmospheric Density using High Fidelity Geometry and Drag Coefficient Modeling. AAS/AIAA Astrodynamics Specialist Conference, Virtual, August 9-12, 2020.
  15. Richard J. Licata, W. Kent Tobiska, and Piyush M. Mehta. Impact of Space Weather Driver Forecast Uncertainty on Drag and Orbit Prediction. AAS/AIAA Astrodynamics Specialist Conference, Virtual, August 9-12, 2020.
  16. Richard J. Licata, Piyush M. Mehta, Christina Kay. Data-Driven Framework for Space Weather Modeling with Uncertainty Treatment towards Space Situational Awareness and Space Traffic Management. AAS 19-603, Astrodynamics Specialist Conference, Portland, ME, August 2019.
  17. Piyush M. Mehta. On deriving Self-Consistent, High-accuracy Mass Density Measurements. AAS 19-439, Space Flight Mechanics, Maui, HI, January 2019.
  18. Piyush M. Mehta and Richard Linares. Data-Driven Investigation of Thermospheric Variations. AAS 19-438, Space Flight Mechanics, Maui, HI, January 2019.
  19. Piyush M. Mehta, and Richard Linares. Data-driven framework real-time thermospheric density estimation. Astrodynamics Specialist Conference, Snowbird, UT, August 2018.
  20. Craig A. McLaughlin, Alex Sizemore, and Piyush M. Mehta. Uncertainty in drag coefficient modeling and the effects on density estimation. Astrodynamics Specialist Conference, Snowbird, UT, August 2018.
  21. Piyush M. Mehta, and Richard Linares. A methodology for reduced order modeling and calibration of the upper atmosphere. Astrodynamics Specialist Conference, Stevenson, WA, August 20-24, 2017.

  22. Piyush M. Mehta, Gonzalo Blanco-Arnao, Davide Bonetti, Edmondo Minisci, Massimiliano Vasile. Computer Graphics for Space Debris. 6th International Conference on Astrodynamics Tools and Techniques, Darmstadt, Germany, 14-17 March, 2016.

  23. Martin Kubicek, Piyush M. Mehta, Edmondo Minisci, Massimiliano Vasile. Multi-Fidelity Uncertainty Quantification for Atmospheric Re-entry using High Dimensional Model Representation. 26th AAS/AIAA Space Flight Mechanics Meeting, Napa, California, 14-18 February 2016.

  24. Piyush M. Mehta, Martin Kubicek, Edmondo Minisci, Massimiliano Vasile. Surrogate Model for Probabilistic modeling of Atmospheric Entry for small NEOs. 26th AAS/AIAA Space Flight Mechanics Meeting, Napa, California, 14-18 February 2016.

  25. Piyush M. Mehta, Martin Kubicek, Edmondo Minisci, Massimiliano Vasile. Debris Re-entry Modeling using High Dimensional Derivative Based Uncertainty Quantification. AAS/AIAA Astrodynamics Specialist Conference, Vail, Colorado, 9-13 August 2015.

  26. Piyush M. Mehta, Edmondo Minisci, Massimiliano Vasile, Andrew Walker, and Melrose Brown. Sensitivity Analysis towards Probabilistic Re-Entry Modeling of Spacecraft and Space Debris. AIAA Modeling and Simulation Technologies Conference, Aviation 2015, Dallas, TX, 22-26 June 2015.

  27. Piyush M. Mehta, Edmondo Minisci, and Massimiliano Vasile. Break-up Modeling and Trajectory Simulation under Uncertainty for Asteroids. 4th IAA Planetary Defense Conference (PDC), Frascati, Roma, 13-17 April 2015.

  28. Piyush M. Mehta, Edmondo Minisci, Massimiliano Vasile, Andrew Walker, and Melrose Brown. An Open-Source Hypersonic Aerodynamic and Aerothermodynamic Modeling Tool. 8th ESA symposium for Aerothermodynamics of Space Vehicles, Lisbon, Portugal, 2-6 March, 2015.

  29. Josef Koller, Sean M. Brennan, Humberto C. Godinez, Moriba K. Jah, Thomas Kelecy, Brian A. Larsen, …. , Piyush M. Mehta, …. , Brent E. Wohlberg. A Framework for Integrated Modeling of Perturbations in Atmospheres for Conjunction Tracking (IMPACT). AIAA Space Operations Conference, Pasadena, CA, May 2014.

  30. Andrew Walker, Michael Shoemaker, Piyush M. Mehta, and Josef Koller. Gas-Surface Interactions for Satellites orbiting in the lower Exosphere. 24th AAS/AIAA Space Flight Mechanics, AAS 14-436, Santa Fe, NM, 2014.

  31. Alexei V. Klimenko, Sean M. Brennan, Humberto C. Godinez, Dave Higdon, Josef Koller, Earl Lawrence, …. , Piyush M. Mehta, …. , Craig McLaughlin. IMPACT: Integrated Modeling of Perturbations in Atmospheres for Conjunction Tracking. AAS/AIAA Space Flight Mechanics Conference, Santa Fe, NM, January 2014.

  32. Josef Koller, Sean M. Brennan, Humberto C. Godinez, Dave Higdon, Alexei Klimenko, Brian A. Larsen, …. , Piyush M. Mehta, …. , Earl Lawrence. IMPACT: Integrated Modeling of Perturbations in Atmospheres for Conjunction Tracking. AGU Fall Meeting, San Francisco, CA, December 2013.

  33. Josef Koller, Sean M. Brennan, Humberto C. Godinez, Dave Higdon, Alexei Klimenko, Brian A. Larsen, …. , Piyush M. Mehta, …., Craig McLaughlin, “IMPACT: Integrated Modeling of Perturbations in Atmospheres for Conjunction Tracking”, AMOS Conference, Maui, HI, September 2013.

  34. Richard Linares, Michael Shoemaker, Andrew Walker, Piyush M. Mehta, David M. Palmer, David C. Thompson, Josef Koller, John L. Crassidis. Photometric Data from Non-Resolved Objects for Space Object Characterization and Improved Atmospheric Modeling. AMOS Conference, September 2013.

  35. Piyush M. Mehta, Andrew Walker, Earl Lawrence, Richard Linares, David Higdon and Josef Koller. Modeling Satellite Drag Coefficients with Response Surfaces. AAS/AIAA Astrodynamics Specialist Conference, Hilton Head, South Carolina, August 2013.

  36. Andrew Walker, Piyush M. Mehta, and Josef Koller. The Effect of Different Adsorption Models on Satellite Drag Coefficients. AAS/AIAA Astrodynamics Specialist Conference, Hilton Head, South Carolina, August 2013.

  37. Piyush M. Mehta, and Craig A. McLaughlin. GRACE Drag Coefficient Model Developed using Direct Simulation Monte Carlo (DSMC) Method. 23rd AIAA/AAS Space Flight Mechanics Conference, AAS 13-284, Kauai, Hawaii, Feb 2013.

  38. Piyush M. Mehta and Craig A. McLaughlin. Energy-Accommodation Coefficient and Drag Coefficient Modeling for Stella and Starlette. International Astronautical Congress, IAC-12-C1.6.10, Naples, Italy, October 2012.

  39. Piyush M. Mehta and Craig A. McLaughlin. Density and Ballistic Coefficient Estimation Revisited. AAS/AIAA Astrodynamics Specialist Conference, AAS 11-609, Girdwood, Alaska, July 31 – August 4, 2011.

  40. Craig A. McLaughlin, Eric Fattig, Dhaval Mysore Krishna, Travis Locke and Piyush M. Mehta. Time Periods of Anomalous Density for GRACE and CHAMP. AAS/AIAA Astrodynamics Specialist Conference, AAS 11-613, Girdwood, Alaska, July 31 – August 4, 2011.

  41. Craig A. McLaughlin, Travis F. Lechtenberg, Stephen R. Mance, Travis Locke and Piyush M. Mehta. Fitted Drag Coefficients as a Source of Density Information. 21st AAS/AIAA Space Flight Mechanics Meeting Conference Proceedings, AAS 11-174, New Orleans, February 13-17, 2011.