Ved Chirayath et al. 2024. “Physics”. High-school textbook. National Geographic Learning & Cengage. In Press. ~400pp.
Ved Chirayath et al. 2025. “Life”. High-school textbook. National Geographic Learning & Cengage. In Press. ~200pp.
Patents
Chirayath, Ved. 2021. “System and Method for Imaging Underwater Environments Using Fluid Lensing.” United States Patent and Trade Office. Patent No. 62/634,803. https://patents.google.com/patent/US20190266712A1/en
Chirayath, Ved. 2018. “System for multispectral imaging, detection and active reflectance (MiDAR).” United States Patent and Trade Office. Patent No. 15/480,318. https://patents.google.com/patent/US10041833B1/en
Chirayath, Ved. 2024. “System and Method for Imaging Underwater Environments Using Active Fluid Lensing.” Patent Pending.
Journal Papers
Bakker, A., Gleason, A., Dempsey, A., Bachman, S., Burdick, D., Tarano, A., Chirayath, V., and Purkis, S. "Remotely Sensed Spectral Variability Predicts Reef Fish Diversity." 2024. Accepted, preprint available at https://dx.doi.org/10.2139/ssrn.4858574.
Goddijn-Murphy, L., Martínez-Vicente, V., Dierssen, H. M., Raimondi, V., Gandini, E., Foster, R., & Chirayath, V. (2024). “Emerging Technologies for Remote Sensing of Floating and Submerged Plastic Litter.” Remote Sensing, 16(10), 1770. https://doi.org/10.3390/rs16101770
Chirayath, Ved, et al. “Oceans across the solar system and the search for extraoceanic life: Technologies for remote sensing and in situ exploration.” Oceanography1 (2022): 54-65. 2022. Special Issue. https://doi.org/10.5670/oceanog.2021.416
Chirayath, Ved. "Airborne Fluid Lensing for Precision Reef Mapping–New Results from Guam’s Priority Coral Reefs." Hyperspectral Imaging and Sounding of the Environment. Optical Society of America, 2021. https://www.osapublishing.org/abstract.cfm?uri=HISE-2021-HTu2C.1
David I Kline, Alex Dehgan, Paul Bunje, Shah Selbe, Ved Chirayath, Oscar Pizarro, Matthieu Leray, Sean Connolly, Pim Bongaerts, Tali Treibitz, Oren Levy, David Kriegman, Andreas Andersson, Melanie McField, J Emmett Duffy. “The Coral Reef Sentinels Program: A Mars Shot for Blue Planetary Health.” Marine Technology Society Journal, Volume 55, Number 3, May/June 2021, pp. 118-119(2). https://doi.org/10.4031/MTSJ.55.3.51
Menon, Vivek V., et al. "Design and Performance Evaluation of Multispectral Sensing Algorithms on CPU, GPU, and FPGA." 2021 IEEE Aerospace Conference (50100). IEEE, 2021. https://doi.org/10.1109/AERO50100.2021.9438307
van den Bergh, J., Chirayath, V. , Li, A., Torres-Perez, J., Segal-Rozenhaimer, M. 2021. "NeMO-Net–Gamifying 3D Labeling of Multi-Modal Reference Datasets to Support Automated Marine Habitat Mapping." Frontiers in Marine Science 8 (2021): 645408. https://doi.org/10.3389/fmars.2021.645408
Li, Alan S., Chirayath, V., et al. 2020. NASA NeMO-Net's Convolutional Neural Network: Mapping Marine Habitats with Spectrally Heterogeneous Remote Sensing Imagery." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing13 (2020): 5115-5133. https://doi.org/10.1109/JSTARS.2020.3018719
Chirayath, V. et al. 2020. “NASA NeMO-Net – A Neural Multimodal Observation & Training Network for Marine Ecosystem Mapping at Diverse Spatiotemporal Scales,” IEEE Geoscience and Remote Sensing Society, 3633-3636. https://doi.org/10.1109/IGARSS39084.2020.9323188
Asanjan, A., Das, K., Li, A., Chirayath, V., Torres- Perez, J., and Sorooshian, S. 2020. Learning Instrument Invariant Characteristics for Generating High-resolution Global Coral Reef Maps. ACM SIGKDD, Knowledge Discovery and Data Mining (KDD). ACM, New York, NY, USA, 8 pages. https://doi.org/10.1145/3394486.3403312
Chirayath, V and Li, A. 2020. Next-Generation Optical Sensing Technologies for Exploring Ocean Worlds - NASA FluidCam, MiDAR, and NeMO-Net. Special Issue, Frontiers in Marine Science 6, 521. org/10.3389/fmars.2019.00521
Segal-Rozenhaimer, M., Li, A., Das, K., and Chirayath, V. 2020. Cloud Detection Algorithm for Multi-Modal Satellite Imagery using Convolutional Neural-Networks (CNN). Remote Sensing of Environment 237, 111446. org/10.1016/j.rse.2019.111446
Chirayath, Ved and Instrella, Ron. 2019. Fluid Lensing and Machine Learning for Automated Centimeter-Resolution Airborne Assessment of Coral Reefs in American Samoa without Ocean Wave Distortion. Remote Sensing of Environment 235, 111475. org/10.1016/j.rse.2019.111475
Rogers, J., Maticka, S., Chirayath, V., Woodson, B., Alonso, J., Monismith, St. 2018. Connecting flow over complex terrain to hydrodynamic roughness on a coral reef. Journal of Physical Oceanography. doi:1175/JPO-D-18-0013.1
McGillivary, Phil, Chirayath, Ved, and Baghdady, Joshua. 2018. Use of Multi-Spectral High Repetition Rate LED Systems for High Bandwidth Underwater Optical Communications, and Communications to Surface and Aerial Systems. IEEE. doi: 1109/UComms.2018.8493228
Chirayath, Ved and Earle, Sylvia. 2016. Drones that See through Waves – Preliminary Results from Airborne Fluid Lensing for Centimetre-Scale Aquatic Conservation. Special Issue, Aquatic Conservation: Marine and Freshwater Ecosystems. https://doi.org/10.1002/aqc.2654
Suosaari, E., Reid, R., Playford, P., Foster, J., Stolz, J., Casaburi, G., Hagan, P., Chirayath, V., Macintyre, I., Planavsky, N. et al. 2016. New multi-scale perspectives on the stromatolites of Shark Bay, Western Australia. Nature, Scientific Reports 6: 20557. Doi: 1038/srep20557
Maximenko, N., Arvesen, J., Asner,G., Carlton, M., Castrence, L., Centurioni, Y., Chapman, J., Chirayath, V. et al. Remote sensing of marine debris to study dynamics, balances and trends. NASA Decadal Survey for Earth Science and Applications from Space.
Aurell, J., Mitchell, W., Chirayath, V., Jonsson, J., Tabor, D., Gullett, B.. 2017. Multipollutant Gas and Particle Emission Sampling with a Hexacopter Unmanned Aerial System. Atmospheric Environment; 166(11): 433–440. Doi: 1016/j.atmosenv.2017.07.046
Chirayath, Ved, Oscar Galvan-Lopez, and Ronnie Instrella. "Blind Wave Field Characterization from Fluid Lensing." (2015). https://tinyurl.com/4aems9va
Chirayath, V, Mahlstedt, B. "HiMARC 3D-high-speed, multispectral, adaptive resolution stereographic CubeSat imaging constellation." 2012. IEEE SmallSat. Winner of SmallSat Frank J. Redd Best Paper Award.
Chirayath, Ved. Solo exhibition. 2011-2013. “Physics in Vogue.” Stanford University Angel Grant, Cantor Art Museum, Stanford University. https://www.vedphoto.com/physics-in-vogue
Chirayath, Ved. Solo exhibition. 2001. “Ceramics and Pottery by Ved Chirayath – Alpay Foundation Artist in Residence.” Palos Verdes Art Center.
Stanford University Engineering Profile – Dr. Ved Chirayath. “I’m obsessed with finding new forms of life on our home planet. To me, that is one of the most compelling scientific pursuits.” 2017. https://engineering.stanford.edu/spotlight/ved-chirayath
“Fluid Lensing and Deep Machine Learning for Global Coral Reef Assessment.” 2018. American Geophysical Union NASA Hyperwall Talk. https://www.youtube.com/watch?v=OlI_LmxnLqc
Chirayath, Ved. 2016. “Fluid Lensing & Applications to Remote Sensing of Aquatic Systems.” PhD Thesis. Stanford University.
Chirayath, Ved. 2016. “Advances in Thermophotovoltaic Radioisotope Generators for Deep Space Exploration.” Stanford University.
Chirayath, Ved. 2016. “Impacts of Nuclear Testing on Bikini Atoll Coral Reefs.” Stanford University.
Kabariaa, Hardik, Ashish Goelb, and Kristen Moorec. 2013. "3D Reconstruction, Segmentation and Classification of Corals from Aerial Images Final Report: CS 231A." Stanford University.
Chirayath, V., Arnold, J., Kalk, M., Roth, G., Serrano, A., Wang, W. 2011. “Measuring the viscosity of a superfluid Helium mixture with a high-Q Quartz oscillator.” Department of Physics,Stanford University. https://www.vedphoto.com/physics-108-final-paper---group-1.pdf
Conference Papers & Proceedings (See Professional for Invited Keynote Presentations and Panels)
Chirayath, Ved. "Fluid Lensing and MiDAR for Airborne Coral Reef Monitoring at the sub-cm-scale." 2024 Ocean Sciences Meeting. AGU, 2024.
Chirayath, Ved. "MiDAR Fluid Lensing–Merging NASA’s MiDAR Active Multispectral Imaging Technology with Fluid Lensing for Next-Generation Aquatic Remote Sensing of Marine Systems and Debris." AGU23(2023).
Tarano, Ana M., et al. "Evaluating Global Benthic Habitat Maps Derived from Machine Learning: NASA's Neural Multimodal Observation and Training Network." AGU23(2023).
Torres-Perez, Juan Luis, et al. "OCEANOS: Engaging Hispanic/Latino Students in STEM by Integrating NASA Observations and Science with Hands-on Field Experiences." AGU23(2023).
Chirayath, Ved, and Romina King. "Revealing the Ocean Deep: Next-Generation Sensing Technologies for Marine and Planetary Science." Fall Meeting 2022. AGU, 2022.
Tarano, Ana, et al. "Toward Global Coral Resilience and Biodiversity Assessments Using NASA NeMO-Net and Fluid Lensing." Fall Meeting 2022. AGU, 2022.
Barbier, Louis Matthew, et al. "The Present and Future of NASA’s Citizen Science Program." AGU Fall Meeting 2020. AGU, 2020.
Chirayath, V. , Li, A., Torres-Perez, J., Segal-Rozenhaimer, M., van den Bergh, J. 2020. NASA NeMO-Net - The Neural Multi-Modal Observation and Training Network for Global Coral Reef Assessment. Fall Meeting, American Geophysical Union.
French, Matthew, et al. "Emulating and Verifying Sensing, Computation, and Communication in Distributed Remote Sensing Systems." IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium. IEEE.
Estes, Maury. "Using satellite remote sensing and in situ data to evaluate marine biodiversity and ecosystems." Ocean Sciences Meeting 2020. AGU, 2020.
Chirayath, Ved. "NEMO-NET & fluid lensing: the neural multi-modal observation & training network for global coral reef assessment using fluid lensing augmentation of NASA EOS data." (2018).
McGillivary, Philip Andrew, et al. "Advancing Underwater Optical Communications Technology via Demonstration Projects for Students, Researchers and Maritime Forces through Partnerships between Government and Industry." Ocean Sciences Meeting 2020. AGU, 2020.
Chirayath, Ved, et al. "NeMO-Net: The Neural Multi-Modal Observation and Training Network for Global Coral Reef Assessment." AGU Fall Meeting Abstracts. Vol. 2019. 2019.
Li, Alan, Ron Instrella, and Ved Chirayath. "Fluid Lensing based Machine Learning for Augmenting Earth Science Coral Datasets." AGU Fall Meeting Abstracts. Vol. 2016. 2016.
Chirayath, Ved, et al. "NASA NeMO-Net-A Neural Multimodal Observation & Training Network for Marine Ecosystem Mapping at Diverse Spatiotemporal Scales." IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium. IEEE.
van den Bergh, Jarrett, et al. "A 3D Active Learning Application for NeMO-Net, the NASA Neural Multi-Modal Observation and Training Network for Global Coral Reef Assessment." AGU Fall Meeting Abstracts. Vol. 2017. 2017.
Li, Alan Sheng Xi, Ved Chirayath, and Kamalika Das. "H34B-06: NeMO-Net–The Neural Multi-Modal Observation & Training Network for Global Coral Reef Assessment."
Chirayath, Ved, et al. "NASA NeMO-Net-The NASA Neural Multi-Modal Observation & Training Network for Global Coral Reef Assessment." AGU Fall Meeting Abstracts. Vol. 2018. 2018.
Vitek, Brooke, et al. "Morphometric analysis of shallow marine stromatolites in Hamelin Pool based on Fluid Lensing Image Processing." AGU Fall Meeting Abstracts. Vol. 2018. 2018.
van den Bergh, Jarrett, et al. "A 3D Citizen Science Video Game for NeMO-Net, the NASA Neural Multi-Modal Observation and Training Network for Global Coral Reef Assessment." AGU Fall Meeting Abstracts. Vol. 2018. 2018.
Li, Alan Sheng Xi, et al. "NeMO-Net-The Neural Multi-Modal Observation & Training Network for Global Coral Reef Assessment." AGU Fall Meeting Abstracts. Vol. 2017. 2017.
Li, Alan Sheng Xi, et al. "NeMO-Net-The Neural Multi-Modal Observation & Training Network for Global Coral Reef Assessment." AGU Fall Meeting Abstracts. Vol. 2018. 2018.
Fladeland, Matthew M., et al. "Using remotely piloted aircraft and onboard processing to optimize and expand data collection." AGU Fall Meeting Abstracts. Vol. 2016. 2016.
Chirayath, Ved, and Ron Instrella. "FluidCam 1&2-UAV-based Fluid Lensing Instruments for High-Resolution 3D Subaqueous Imaging and Automated Remote Biosphere Assessment of Reef Ecosystems." American Geophysical Union2016 (2016): IS53A-01.
Instrella, Ron, and Ved Chirayath. "Automated Segmentation and Classification of Coral using Fluid Lensing from Unmanned Airborne Platforms." AGU Fall Meeting Abstracts. Vol. 2015. 2015.
Chirayath, Ved, and J. Alonso. "Plasma actuated unmanned aerial vehicle–the first plasma controlled flight in history." Conference at Standford University VPUE. 2011.
Das, Kamalika, et al. "Classifying multimodal coral reef images using domain adaptation." AGU Fall Meeting 2018. AGU, 2018.
Monismith, Stephen G., et al. "Hydrodynamic roughness: spatial variability of bottom drag on a coral reef." 2018 Ocean Sciences Meeting. AGU, 2018.
Bianco, Mariasole, Rebecca Koss, and Katherine Zischka. "Empowering emerging leaders in marine conservation: the growing swell of inspiration." Aquatic Conservation: Marine and Freshwater Ecosystems26 (2016): 225-236.
Gaddis, Keith. "Advances in the application of remote sensing for biodiversity monitoring: Integrating data across scales and technologies." AGU Fall Meeting 2019. Agu, 2019.
McGillivary, P., Chirayath, V., Bahr, A. et al. Advancing Underwater Optical Communications Technology via Demonstration Projects for Students, Researchers and Maritime Forces through Partnerships between Government and Industry. Ocean Sciences Meeting 2020. American Geophysical Union.
Chirayath, Ved. 2016. “FluidCam 1&2 - UAV-based Fluid Lensing Instruments for High-Resolution 3D Subaqueous Imaging and Automated Remote Biosphere Assessment of Reef Ecosystems.” AGU Ocean Sciences Meeting. https://agu.confex.com/agu/os16/preliminaryview.cgi/Paper93849.html
Chirayath, Ved. 2015. FluidCam 1&2 - UAV-Based Fluid Lensing Instruments for High-Resolution 3D Subaqueous Imaging and Automated Remote Biosphere Assessment of Reef Ecosystems.” AGU Fall Meeting 1.
Chirayath, Ved. 2015. “ESTO FluidCam 1&2 CubeSats - Fluid Lensing CubeSat Imagers with Applications to High-Resolution 3D Subaqueous Imaging & Automated Remote Biosphere Assessment from Airborne and Space-borne Platforms.” NASA ESTO Earth Science Technology Forum, Caltech, Pasadena, CA. 1 https://esto.nasa.gov/forum/estf2015/abstracts/chirayath.htm
Chirayath, Ved. 2015. The 2015 El Niño Event and the Battery in the Pacific. Stanford University.
Chirayath, Ved. 2014. Fluid Lensing, Applications to High-Resolution 3D Subaqueous Imaging & Automated Remote Biosphere Assessment from Airborne and Space-borne Platforms. AGU Fall Meeting 1: 1178. https://ui.adsabs.harvard.edu/abs/2014AGUFMOS41A1178C/abstract
Chirayath, Ved. 2014. “Fluid Lensing & Applications to High-Resolution 3D Subaqueous Imaging from Airborne and Space-borne Platforms.” NASA ESTO Earth Science Technology Forum, Leesburg, VA. https://esto.nasa.gov/forum/estf2014/abstracts/Chirayath.htm
Fladeland, M., Schoenung, S., Chirayath, V., Podolske, J. 2019. Supporting NASA Science with High-Altitude Long-Endurance Aircraft. Living Planet Symposium 2019. https://ntrs.nasa.gov/search.jsp?R=20190027733