| Maars: Machine learning-based analytics for automated rover systems M Ono, B Rothrock, K Otsu, S Higa, Y Iwashita, A Didier, T Islam, ... 2020 IEEE aerospace conference, 1-17, 2020 | 40 | 2020 |
| Building a wide reach corpus for secure parser development T Allison, W Burke, V Constantinou, E Goh, C Mattmann, A Mensikova, ... 2020 IEEE Security and Privacy Workshops (SPW), 318-326, 2020 | 7 | 2020 |
| Li-Fi: The Future of Wireless Technology G Tharunn, GD Reddy, V Timmaraju International Journal Of Advanced Engineering and Global Technology I 3 (02), 2015 | 4 | 2015 |
| Machine learning for planetary rovers M Ono, B Rothrock, Y Iwashita, S Higa, V Timmaraju, S Sahnoune, D Qiu, ... Machine Learning for Planetary Science, 169-191, 2022 | 3 | 2022 |
| Evaluation of investigational paradigms for the discovery of non-canonical astrophysical phenomena CAK Singam, J Haqq-Misra, A Balbi, AM Sessa, B Villarroel, ... arXiv preprint arXiv:2011.10086, 2020 | 3 | 2020 |
| Maars: Machine learning-based analytics for rover systems M Ono, B Rothrock, K Otsu, S Higa, Y Iwashita, A Didier, T Islam, ... Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space …, 2020 | 2 | 2020 |
| Hiya Roy, Hemanth Sarabu, Gabrielle Hedrick, Larkin Folsom, Sean Suehr, and Hyoshin Park. Maars: Machine learning-based analytics for automated rover systems M Ono, B Rothrock, K Otsu, S Higa, Y Iwashita, A Didier, T Islam, ... 2020 IEEE Aerospace Conference Proceedings, 2020 | 2 | 2020 |
| Identifying candidates for free-floating artifacts in the solar system V Timmaraju, G Djorgovski Authorea Preprints, 2022 | 1 | 2022 |
| Evaluating the Impact of Increased SNR for Sun-as-Star Spectra used in Deep-Learning Based Analyses of Planetary Radial Velocities in the Presence of Stellar Variability V Timmaraju, HS Venkataram, S Halverson, B Fulton, A Szentgyorgyi, ... AGU24, 2024 | | 2024 |
| Deep Learning–based Measurement of Planetary Radial Velocities in the Presence of Stellar Variability I Colwell, V Timmaraju, HS Venkataram, A Wise The Astronomical Journal 169 (1), 24, 2024 | | 2024 |
| The Goldstone Apple Valley Radio Telescope (GAVRT) Search for Extra Terrestrial Intelligence (SETI) V Gorjian, S Levin, J Arballo, V Timmaraju, R Dorcey, N Kreuser-Jenkins, ... Publications of the Astronomical Society of the Pacific 136 (4), 044502, 2024 | | 2024 |
| Root cause analysis tool for alarms V Timmaraju, E Junkins, V Constantinou, A Mishra, S Kandasamy US Patent App. 18/271,986, 2024 | | 2024 |
| Technosignatures Gap List Study V Timmaraju, N Siegler, E Mamajek 44th COSPAR Scientific Assembly. Held 16-24 July 44, 2824, 2022 | | 2022 |
| The Goldstone Apple Valley Radio Telescope (GAVRT) Search for Extraterrestrial Intelligence (SETI) Project Results V Timmaraju, V Gorjian, S Levin, J Arballo, TJ Lazio, L Lamb, ... American Astronomical Society Meeting# 240 54 (6), 142.02, 2022 | | 2022 |
| Measuring Extreme Precision Radial Velocities of Exoplanet-Hosting Stars in the Presence of Stellar Noise Using Deep Learning A Wise, V Timmaraju, I Colwell American Astronomical Society Meeting# 240 54 (6), 401.08, 2022 | | 2022 |
| Jupyter on Mars: Executable Procedures for Mars Sample Collection Qualification J West, I Gomes, B Regalia, W Smith, I Brockie, L Duffy, L Mestar, ... Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space …, 2021 | | 2021 |
| ExEP Technosignatures Gap List Study EE Mamajek, N Siegler, V Timmaraju Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space …, 2021 | | 2021 |
| Future of Spacecraft Autonomy with Deep Learning M Ono Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space …, 2021 | | 2021 |
| Multi-mission multi-instrument data analysis software for exoplanet exploration A Al-Kibbi, N Huber-Feely, A Niessner, H Venkataram, V Timmaraju, ... Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space …, 2020 | | 2020 |
| Automatic Classification of Microlensing Candidates V Timmaraju | | 2018 |
