Barnard, K., J. Daniels, P. L. Roberts, E. C. Orenstein, I. Masmitja, J. Takahashi, B. Woodward, and K. Katija. 2024. DeepSTARia: Enabling autonomous, targeted observations of ocean life in the deep sea. Frontiers in Marine Science, 11(1357879). https://doi.org/10.3389/fmars.2024.1357879
Cones, S.F., D. Zhang, K.A. Shorter, K. Katija, D.A. Mann, F.H. Jensen, J. Fontes, P. Afonso, and T.A. Mooney. 2022. Swimming behaviors during diel vertical migration in veined squid Loligo forbesii. Marine Ecology Progress Series, 691: 83–96. https://doi.org/10.3354/meps14056
Kakani, K., E. Orenstein, B. Schlining, L. Lundsten, K. Barnard, G. Sainz, O. Boulais, M. Cromwell, E. Butler, B. Woodward, and K.L.C. Bell. 2022. FathomNet: A global image database for enabling artificial intelligence in the ocean. Scientific Reports, 12(15914): 1–14. https://doi.org/10.1038/s41598-022-19939-2
Masmitja, I., M. Martin, K. Katija, S. Gomariz, and J. Navarro. 2022. A reinforcement learning path planning approach for range-only underwater target localization with autonomous vehicles. In 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE), Mexico City, Mexico, August 2022, 675–682. IEEE. https://doi.org/10.1109/CASE49997.2022.9926499
Allentoft-Larsen, M.C., B.C. Gonzalez, J. Daniels, K. Katija, K. Osborn, and K. Worsaae. 2021. Muscular adaptations in swimming scale worms (Polynoidae, Annelida). Royal Society Open Science, 8(10): 1–22. https://doi.org/10.1098/rsos.210541
Byron, M.L., D.W. Murphy, K. Katija, A.P. Hoover, J. Daniels, K. Garayev, D. Takagi, E. Kanso, B.J. Gemmell, M. Ruszczyk, and A. Santhanakrishnan. 2021. Metachronal motion across scales: Current challenges and future directions. Integrative and Comparative Biology, 61(5): 1674–1688. https://doi.org/10.1093/icb/icab105
Daniels, J., N. Aoki, J. Havassy, K. Katija, and K.J. Osborn. 2021. Metachronal swimming with flexible legs: A kinematics analysis of the midwater Polychaete Tomopteris. Integrative and Comparative Biology, 61: 1658–1673. https://doi.org/10.1093/icb/icab059
Elor, A., T. Thang, B.P. Hughes, A. Crosby, A. Phung, E. Gonzalez, K. Katija, S.H.D. Haddock, B.E. Erwin, E.J. Martin, and L. Takayama. 2021. Catching jellies in immersive virtual reality: A comparative teleoperation study of ROVs in underwater capture tasks. Proceedings of the 27th ACM Symposium on Virtual Reality Software and Technology, VRST '21 (17): 1–10. https://doi.org/10.1145/3489849.3489861
Hoover, A.P., J. Daniels, J.C. Nawroth, and K. Katija. 2021. A computational model for tail undulation and fluid transport in the giant larvacean. Fluids, 6: 88–105. http://dx.doi.org/10.3390/fluids6020088
Katija, K., B. Schlining, L. Lundsten, K. Barnard, G. Sainz, O. Boulais, B. Woodward, and K.L. Croff Bell. 2021. FathomNet: An open, underwater image repository for automated detection and classification of midwater and benthic animals. Marine Technology Society Journal, 55(3): 136–137. https://doi.org/10.4031/mtsj.55.3.20
Katija, K., E. Orenstein, B. Schlining, L. Lundsten, K. Barnard, G. Sainz, O. Boulais, B. Woodward, and K.C. Bell. 2021. FathomNet: A global underwater image training set for enabling artificial intelligence in the ocean. arXiv: 2109.14646. https://doi.org/10.48550/arXiv.2109.14646
Katija, K., P.L.D. Roberts, J. Daniels, A. Lapides, K. Barnard, M. Risi, B.Y. Ranaan, J. Takahashi, B.G. Woodward. 2021. Visual tracking of deepwater animals using machine learning-controlled robotic underwater vehicles. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), January 2021, 860–869.
Yoerger, D.R., A.F. Govindarajan, J.C. Howland, J.K. Llopiz, P.H. Wiebe, M. Curran, J. Fujii, D. Gomez-Ibanez, K. Katija, B.H. Robison, B.W. Hobson, M. Risi, and S.M. Rock. 2021. Mesobot: A hybrid underwater robot for multidisciplinary investigation of the ocean twilight zone. Science Robotics, 6(55): 1–22. https://doi.org/10.1126/scirobotics.abe1901
Yoerger, D.R., A.F. Govindarajan, J.C. Howland, P.H. Wiebe, M. Curran, J. Fujii, D. Gomez-Ibanez, K. Katija, B.H. Robison, B.W. Hobson, M. Risi, and S.M. Rock. 2021. A hybrid underwater robot for multidisciplinary investigation of the ocean twilight zone. Science Robotics, 6(55): eabe1901. https://doi.org/10.1126/scirobotics.abe1901
Boulais, O., B. Woodward, L. Lundsten, K. Barnard, B. Schlining, K.C. Bell, and K. Katija. 2020. FathomNet: An underwater image training database for ocean exploration and discovery. arXiv: 2007.00114. https://doi.org/10.48550/arXiv.2007.00114
Katija, K., G. Troni, J. Daniels, K. Lance, R.E. Sherlock, A.D. Sherman, and B.H. Robison. 2020. Revealing enigmatic mucus structures in the deep sea using DeepPIV. Nature, 583: 78–82. https://doi.org/10.1038/s41586-020-2345-2
Masmitjà , I., J. Navarro, S. Gomariz, J. Aguzzi, B. Kieft, T. O'Reilly, K. Katija, P.J. Bouvet, C. Fannjiang, M. Vigo, P. Puig, A. Alcocer, G. Vallicrosa, N. Palomeras, M. Carreras, J. del Rio, and J.B. Company. 2020. Mobile robotic platforms for the acoustic tracking of deep-sea demersal fishery resources. Science Robotics, 5(48): eabc3701. https://doi.org/10.1126/scirobotics.abc3701
Choy, C. A., B.H. Robison, T.O. Gagne, B.E. Erwin, E. Firl, R.U. Halden, J.A. Hamilton, K. Katija, S.E. Lisin, C. Rolsky, and K.S. Van Houtan. 2019. The vertical distribution and biological transport of marine microplastics across the epipelagic and mesopelagic water column. Scientific Reports, 9(7843): 1–9. https://doi.org/10.1038/s41598-019-44117-2
Daniels, J., A.D. Sherman, D. Graves, C.D. Kecy, D. Klimov, E. Erickson, B.H. Robison, and K. Katija. 2019. In situ 2D flow measurements and scanned 3D reconstructions in midwater and benthic environments using DeepPIV. Third Marine Imaging Workshop, Victoria, British Canada, June 24–28, 2019. Ocean Networks Canada, University of Victoria.
Daniels, J., K.J. Osborn, N. Aoki, J. Havassy, N. Mushegian, and K. Katija. 2019. Swimming of the midwater polychaete Tomopteris. 13th International Polychaete Conference, Long Beach, August 4–9, 2019: 1–68.
Fannjiang, C., and K. Katija. 2019. Using machine learning to deduce fine-scale behavior of jellyfish (Chrysaora fuscescens) in Monterey Bay. Society of Integrative and Comparative Biology Annual Meeting, Tampa, January 3–7, 2019.
Fannjiang, C., T.A. Mooney, S. Cones, D. Mann, K.A. Shorter, and K. Katija. 2019. Augmenting biologging with supervised machine learning to study in situ behavior of the medusa Chrysaora fuscescens. Journal of Experimental Biology, 222: 1–10. https://doi.org/10.1101/657684
Flaspohler, G.E., F. Caruso, T.A. Mooney, K. Katija, J. Fontes, P. Afonso, and K.A. Shorter. 2019. Quantifying the swimming gaits of veined squid (Loligo forbesii) using bio-logging tags. Journal of Experimental Biology, 222: 1–13. https://doi.org/10.1242/jeb.198226
Kahn, A. S., J.P. Lord, K. Katija, and J.P. Barry. 2019. Respiration and water processing by glass sponges in Sur Ridge, a dense, deep-water coral and sponge habitat. Society of Integrative and Comparative Biology Annual Meeting, Tampa, January 3–7, 2019.
Katija, K., B. Woodward, B. Schlining, L. Lundsten, K. Barnard, and K.L.C. Bell. 2019. FathomNet: An open, underwater image repository for automated detection and classification of midwater and benthic targets using machine learning. Third Marine Imaging Workshop, Victoria, British Canada, June 24–28, 2019. Ocean Networks Canada, University of Victoria.
Katija, K., N. Aoki, A. Harned, N. Mushegian, J. Daniels, and K.J. Osborn. 2019. Locomotion in Tomopterids: How do these gelatinous holopelagic worms swim?. Society of Integrative and Comparative Biology Annual Meeting, Tampa, January 3–7, 2019.
Masmitjà , I., S. Gomáriz, J. Del Rio, B. Kieft, T.O. O'Reilly, J. Aguzzi, P.J. Bouvet, C. Fannjiang, and K. Katija. 2019. Area-only method for underwater object tracking using autonomous surface vehicles. IEEE/MTS OCEANS Meeting, Seattle, October 27–31, 2019. The Marine Technology Society, the IEEE Oceanic Engineering Society.
Omand, M., J. Sugar, K. Buesseler, C. Durkin, M. Estapa, I. Cetinic, E. D'Asaro, C. Lee, H.T. Rossby, A. Wang, A. Adams, K. Katija, and J.P. Barry. (2019). Upcoming EXPORTS technology: Trap cameras, Snocam, and Minions. NASA EXPORTS Science Meeting, Williamsburg, May 6–10, 2019. EXport Processes in the Ocean from Remote Sensing.
Roberts, P.L.D., K. Katija, A.D. Sherman, J. Erickson, and H.E. Ruhl. 2019. A three-dimensional, high-resolution, in situ particle and flow imaging instrument (EyeRIS). Third Marine Imaging Workshop, Victoria, British Canada, June 24–28, 2019. Ocean Networks Canada, University of Victoria.
Katija, K., A.D. Sherman, R.E. Sherlock, and B. Robison. 2018. DeepPIV reveals how mucus houses of deep-sea, giant Larvaceans are built. Integrative and Comparative Biology, 58(Issue suppl_1): 114. https://doi.org/10.1093/icb/icy001
Katija, K., C.A. Choy, R.E. Sherlock, A.D. Sherman, and B.H. Robison. 2017. From the surface to the seafloor: How giant larvaceans transport microplastics into the deep sea. Science Advances, 3(8): 1–5. http://dx.doi.org/10.1126/sciadv.1700715
Katija, K., R.E. Sherlock, A.D. Sherman, and B. Robison. 2017. New technology reveals the role of giant larvaceans in oceanic carbon cycling. Science Advances, 3: e1602374. http://dx.doi.org/10.1126/sciadv.1602374
Fossette, S., K. Katija, J.A. Goldbogen, S. Bograd, W. Patry, M.J. Howard, T. Knowles, S.H.D. Haddock, L. Bedell, E.L. Hazen, B.H. Robison, T.A. Mooney, K.A. Shorter, T. Bastian, and A.C. Gleiss. 2016. How to tag a jellyfish? A methodological review and guidelines to successful jellyfish tagging. Journal of Plankton Research, 38: 1347–1363. http://dx.doi.org/10.1093/plankt/fbw073
Katija, K., A. Sherman, and B. Robison. 2016. Video: DeepPIV: Fluid visualizations from the ocean surface to the seafloor. 69th Annual Meeting of the APS Division of Fluid Dynamics, 2016. http://dx.doi.org/10.1103/APS.DFD.2016.GFM.V0085
Katija, K. 2015. Morphology alters fluid transport and the ability of organisms to mix oceanic waters. Integrative and Comparative Biology, 55: 698–705. http://dx.doi.org/10.1093/icb/icv075
Katija, K., S.P. Colin, J.H. Costello, and H. Jiang. 2015. Ontogenetic propulsive transitions by medusae Sarsia tubulosa . Journal of Experimental Biology, 218: 2333–2343. http://dx.doi.org/10.1242/jeb.115832
Mooney, T.A., K. Katija, K.A. Shorter, T. Hurst, J. Fontes, and P. Afonso. 2015. ITAG: an eco-sensor for fine-scale behavioral measurements of soft-bodied marine invertebrates. Animal Biotelemetry, 3: 1–14. http://dx.doi.org/10.1186/s40317-015-0076-1