Publications

Blasch, E. P., F. Darema, S. Ravela, and A. J. Aved, "The Future of DDDAS", Handbook of Dynamic Data Driven Applications Systems: Springer, Cham, pp. 739–748, 2022.
Blasch, E. P., F. Darema, S. Ravela, and A. J. Aved, Handbook of Dynamic Data Driven Applications Systems, : https://doi.org/10.1007/978-3-030-74568-4, 2022.
Goel, A., J. Augusto Paredes, H. Dadhaniya, S. Aseem Ul Islam, A. Mohammed Salim, S. Ravela, and D. Bernstein, "Experimental implementation of an adaptive digital autopilot", 2021 American Control Conference (ACC): IEEE, pp. 3737–3742, 2021.
Ravela, S., "Variational and Ensemble Approaches for Stable Hybrid Dynamical Systems", 101st American Meteorological Society Annual Meeting: AMS, 2021.
Jankov, I., S. Gregory, S. Ravela, Z. Toth, and M. Peña, "Partition of Forecast Error into Positional and Structural Components", Advances in Atmospheric Sciences, pp. 1–8, 2021.
Li, Z., and S. Ravela, "Neural Networks as Geometric Chaotic Maps", IEEE Transactions On Neural Networks and Learning Systems: IEEE, 2021.
Alali, A. M., M. F. Abughaban, B. M. Aman, and S. Ravela, "Hybrid data driven drilling and rate of penetration optimization", Journal of Petroleum Science and Engineering, vol. 200, pp. 108075, 2021.
Jankov, I., S. Gregory, S. Ravela, Z. Toth, and M. Peña, "Partition of forecast error into positional and structural components", Advances in Atmospheric Sciences, vol. 38, no. 6: Science Press, pp. 1012–1019, 2021.
Lee, J., J. Spencer, J. Augusto Paredes, S. Ravela, D. S. Bernstein, and A. Goel, "An Adaptive Digital Autopilot for Fixed-Wing Aircraft with Actuator Faults", https://arxiv.org/abs/2110.11390, 2021.
Trautner, M., Z. Li, and S. Ravela, "Learn Like The Pro: Norms from Theory to Size Neural Computation", https://arxiv.org/abs/2106.11409, no. arXiv:2106:11409, 2021.
Darema, F., E. Blasch, S. Ravela, and A. Aved, "Dynamic Data Driven Applications Systems", Lecture Notes in Computer Science, 1, vol. 12312, Cham, Springer International Publishing, pp. 360, 2020.
Trautner, M., G. Margolis, and S. Ravela, "Informative Ensemble Kalman Learning for Neural Structure", LNCS, vol. 12312, pp. 199, 10/2020.
Goel, A., J. Augusto Paredes, H. Dadhaniya, S. Aseem Ul Islam, A. Mohammed Salim, S. Ravela, and D. Bernstein, "Experimental Implementation of an Adaptive Digital Autopilot", arXiv preprint arXiv:2012.02896, 2020.
Feng, J., J. Zhang, Z. Toth, M. Peña, and S. Ravela, "A New Measure of Ensemble Central Tendency", Weather and Forecasting, vol. 35, pp. 879–889, 2020.
Bakliwal, K., and S. Ravela, The Sloop System for Individual Animal Identification with Deep Learning, , 2020.
Trautner, M., G. Margolis, and S. Ravela, Informative Neural Ensemble Kalman Learning, , 2020.
Yadav, N., S. Ravela, and A. R. Ganguly, Machine Learning for Robust Identification of Complex Nonlinear Dynamical Systems: Applications to Earth Systems Modeling, , 2020.
Goel, A., A. Mohammed Salim, A. Ansari, S. Ravela, and D. Bernstein, Adaptive Digital PID Control of a Quadcopter with Unknown Dynamics, , 2020.
Ravela, S., S. Reilly, Z. Li, and A. K. Dwivedi, "Informative Learning: A Nonlinear Dynamical Systems Approach to Deep Learning", AGU Fall Meeting 2019: AGU, 2019.
Li, Z., and S. Ravela, "The Learnability of Feedforward Neural Networks in Dissipative Chaotic Dynamical Systems", AGU Fall Meeting 2019: AGU, 2019.
Silva, S. James, C. L. Heald, S. Ravela, I. Mammarella, and W. J Munger, "A Deep Learning Parameterization for Ozone Dry Deposition Velocities", Geophysical Research Letters, 2019.
Li, Z., and S. Ravela, "On Neural Learnability of Chaotic Dynamics", https://arxiv.org/pdf/1912.05081.pdf, no. 1912.05081: arXiv, 2019.
Trautner, M., and S. Ravela, "Neural Integration of Continuous Dynamics", https://arxiv.org/pdf/1911.10309.pdf, no. 1911.10309, 2019.
Blasch, E., S. Ravela, and A. Aved, "DDDAS: The Way Forward", Handbook of Dynamic Data Driven Applications Systems: Springer, Cham, pp. 723–731, 2018.
Ravela, S., "Tractable Non-Gaussian Representations in Dynamic Data Driven Coherent Fluid Mapping", Handbook of Dynamic Data Driven Applications Systems: Springer, Cham, pp. 29–46, 2018.
Karpatne, A., I. Ebert-Uphoff, S. Ravela, H. Ali Babaie, and V. Kumar, "Machine learning for the geosciences: Challenges and opportunities", IEEE Transactions on Knowledge and Data Engineering, 2018.
Gil, Y., S. A. Pierce, H. Babaie, A. Banerjee, K. Borne, G. Bust, M. Cheatham, I. Ebert-Uphoff, C. Gomes, M. Hill, et al., "Intelligent systems for geosciences: an essential research agenda", Communications of the ACM, vol. 62, pp. 76–84, 2018.
Burghardt, T., R. B. Fisher, and S. Ravela, "Guest Editorial: Computer Vision for Animal Biometrics", IET Computer Vision, 2018.
Finn, A.M.., S.. Ravela, and J.A.. Sylvestro, Systems and methods for detecting damage, , 2018.
Ravela, S., "A Symbiotic Framework for coupling Machine Learning and Geosciences in Prediction and Predictability", AGU Fall Meeting Abstracts, 2017.
Ravela, S.., "Dynamic Data Driven Deep Learning", DDDAS 17, Cambridge, MA, 08/2017.
Karpatne, A., I. Ebert-Uphoff, S. Ravela, H. Ali Babaie, and V. Kumar, "Machine Learning for the Geosciences: Challenges and Opportunities", arXiv preprint arXiv:1711.04708, 2017.
Ravela, S.., "A Non-Parametric Framework for Inference Using Dynamically Deformed and Targeted Manifolds", SIAM AN 16, 07/2016.
Ravela, S., "Dynamically Deformable Resampled Random Manifolds for High-dimensional, Nonlinear Inference in Geoscience in the presence of Uncertainty", AGU Fall Meeting Abstracts, 2016.
Ravela, S., and A. Sandu, "Dynamic Data-Driven Environmental Systems Science", LNCS, vol. 8964: Springer, 2015.
Seybold, H., S. Ravela, and P. Tagade, "Ensemble Learning in Non-Gaussian Data Assimilation", Dynamic Data-Driven Environmental Systems Science: Springer International Publishing, pp. 227–238, 2015.
Ravela, S., "Statistical Inference for Coherent Fluids", Dynamic Data-Driven Environmental Systems Science: Springer International Publishing, pp. 121–133, 2015.
Ravela, S., "Learning and Information Approaches for Inference in Dynamic Data-Driven Geophysical Applications", AGU Fall Meeting Abstracts, 2015.
Ravela, S., "Cooperative Autonomous Observation of Volcanic Environments with sUAS", AGU Fall Meeting Abstracts, 2015.
Hui, KL., K. Emanuel, and S. Ravela, "Characterizing Hurricane Tracks Using Multiple Statistical Metrics", AGU Fall Meeting Abstracts, 2015.
Ravela, S., "Dynamic Data-driven Deformable Reduced Models for Coherent Fluids", Procedia Computer Science, vol. 51, pp. 2464 - 2473, 2015.
Neumann, J. E., K. A. Emanuel, S. Ravela, L. C. Ludwig, and C. Verly, "Risks of Coastal Storm Surge and the Effect of Sea Level Rise in the Red River Delta, Vietnam", Sustainability, vol. 7, pp. 6553-6572, 2015.
Vyas-Patel, N., S. Ravela, A. Mafra-Neto, and J. D. Mumford, "Insect Wing Classification of Mosquitoes and Bees Using CO1 Image Recognition.", bioRxiv, pp. 034819, 2015.
Franco-Moreno, R-A., V-H. Cruz-Escalona, D. Aurioles-Gamboa, P. Vera-Alfaro, J. Salas, and S. Ravela, "Variability and sexual dimorphism in skull morphometry of California Sea Lions (Zalophus californianus) in Mexico", Mammalian Biology - Zeitschrift für Säugetierkunde, vol. 80, pp. 316 - 327, 2015.
Duyck, J., C. Finn, A. Hutcheon, P. Vera, J. Salas, and S. Ravela, "Sloop: A pattern retrieval engine for individual animal identification", Pattern Recognition, vol. 48, no. 4: Elsevier, pp. 1059–1073, 2015.
Neumann, JE.., K. Emanuel, S. Ravela, L. Ludwig, P. Kirshen, K. Bosma, and J. Martinich, "Joint effects of storm surge and sea-level rise on US Coasts: new economic estimates of impacts, adaptation, and benefits of mitigation policy", Climatic Change, vol. 129, no. 1-2: Springer Netherlands, pp. 337-349, 2015.
Ravela, S., Generating a forecast by field coalescence, , 2015.
Finn, C., J. Duyck, A. Hutcheon, P. Vera, J. Salas, and S. Ravela, "Relevance Feedback in Biometric Retrieval of Animal Photographs", Pattern Recognition: Springer International Publishing, pp. 281–290, 2014.
Ravela, S., "Spatial inference for coherent geophysical fluids by appearance and geometry", Applications of Computer Vision (WACV), 2014 IEEE Winter Conference on: IEEE, pp. 925–932, 2014.
Tagade, P., and S. Ravela, "Mixtures and Kernel models of Inference for Coherent Structures", EGU General Assembly Conference Abstracts, vol. 16, pp. 13504, 2014.
Tagade, P., and S. Ravela, "On a quadratic information measure for data assimilation", American Control Conference (ACC), 2014: IEEE, pp. 598–603, 2014.
Tagade, P., H. Seybold, and S. Ravela, "Mixture Ensembles for Data Assimilation in Dynamic Data-driven Environmental Systems", Procedia Computer Science, vol. 29: Elsevier, pp. 1266–1276, 2014.
Ravela, S.., "Cooperative Autonomous Observation of Coherent Atmospheric Structures using Small Unmanned Aircraft Systems", AGU Fall Meeting Abstracts, pp. B3230, 2014.
Ravela, S., J. Duyck, and C. Finn, "Vision-Based Biometrics for Conservation", Pattern Recognition, Lecture Notes in Computer Science Volume , vol. 7914: Springer Berlin Heidelberg, pp. 10–19, 2013.
Ravela, S., I. Sleder, and J. Salas, "Mapping Coherent Atmospheric Structures with Small Unmanned Aircraft Systems", Proc. AIAA Infotech@Aerospace (I@A): AIAA, 2013.
Ravela, S., The Field Alignment System and Testbed, , 2013.
Neumann, J. E., K. A. Emanuel, S. Ravela, L. C. Ludwig, and C. Verly, Assessing the risk of cyclone-induced storm surge and sea level rise in Mozambique, : World Institute for Development Economic Research (UNU-WIDER), 2013.
Ravela, S.., and K. Emanuel, "Synthetic Storm Simulation for Wind Risk Assessment", Storm Surge Barriers to Protect New York City, pp. 15-36, 2012.
Ravela, S., "Quantifying Uncertainty for Coherent Structures", Procedia Computer Science, vol. 9: Elsevier, pp. 1187–1196, 2012.
Belden, J., S. Ravela, T. T. Truscott, and A. H. Techet, "Three-dimensional bubble field resolution using synthetic aperture imaging: application to a plunging jet", Experiments in Fluids: Springer, pp. 1–23, 2012.
Neumann, J. E., K. A. Emanuel, S. Ravela, L. C. Ludwig, and C. Verly, Risks of Coastal Storm Surge and the Effect of Sea Level Rise in the Red River Delta, Vietnam, : Working Paper 2012/81. Helsinki: UNU-WIDER, 2012.
Ravela, S., W. J. Dupree, T. R. Langlois, M. M. Wolfson, and C. M. Yang, METHOD AND APPARATUS FOR GENERATING A FORECAST WEATHER IMAGE, : Google Patents, 2012.
Seto, C. J.., S.. Ravela, and G. McRae, "Reducing Risk in CO2 Sequestration: A Framework for Integrated Monitoring of Basin Scale Injection", XVIII International Conference on Computational Methods in Water Resources, Barcelona, Spain, 06/2010.
Seto, C. J.., and S.. Ravela, "Differential Image Analysis to Extract Subsurface Flow Dynamics From High Resolution Surface Deformation Measurements", AGU Fall Meeting Abstracts, pp. K7, 2010.
Ravela, S., J. Marshall, C. Hill, A. Wong, and S. Stransky, "A realtime observatory for laboratory simulation of planetary flows", Experiments in fluids, vol. 48, no. 5: Springer, pp. 915–925, 2010.
Ravela, S., and K. A. Emanuel, Statistical-deterministic approach to natural disaster prediction, : Google Patents, 2010.
Yang, C. M., and S. Ravela, "Deformation invariant image matching by spectrally controlled diffeomorphic alignment", Computer Vision, 2009 IEEE 12th International Conference on: IEEE, pp. 1303–1310, 2009.
Emanuel, K.., and S.. Ravela, "{Using Physics to Generate Tropical Cyclone Event Catalogs}", AGU Fall Meeting Abstracts, pp. B1, 2009.
Basha, E. A., S. Ravela, and D. Rus, "Model-based monitoring for early warning flood detection", Proceedings of the 6th ACM conference on Embedded network sensor systems: ACM, pp. 295–308, 2008.
Ravela, S.., J.. Marshall, C.. Hill, A.. Wong, and S.. Stransky, "Tracking rotating fluids in realtime using snapshots", Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on, pp. 1-8, June, 2008.
Gamble, L., S. Ravela, and K. McGarigal, "Multi-scale features for identifying individuals in large biological databases: an application of pattern recognition technology to the marbled salamander Ambystoma opacum", Journal of Applied Ecology, vol. 45, no. 1: Wiley Online Library, pp. 170–180, 2008.
Ravela, S., Data Assimilation by Maximizing Mutual Information, , 2008.
Ravela, S., K. Emanuel, and D. McLaughlin, "Data assimilation by field alignment", Physica D: Nonlinear Phenomena, vol. 230, no. 1: Elsevier, pp. 127–145, 2007.
Ravela, S., and D. McLaughlin, "Fast ensemble smoothing", Ocean Dynamics, vol. 57, no. 2: Springer, pp. 123–134, 2007.
Ravela, S., "A Unified Framework for Data Assimilation Using Dynamical Graphs of the Information Topology", Geophysical Research Abstracts, vol. 9, pp. 09993, 2007.
Ravela, S., "Two Extensions of Data Assimilation by Field Alignment", Computational Science–ICCS 2007: Springer, pp. 1147–1154, 2007.
Ravela, S., A STATISTICAL-DETERMINISTIC APPROACH TO NATURAL DISASTER PREDICTION, , 2007.
Ravela, S., "On the scale-space markov approximation for efficient ensemble filtering", Geophysical Research Abstracts, vol. 8, pp. 05253, 2006.
Emanuel, K., S. Ravela, E. Vivant, and C. Risi, "A statistical deterministic approach to hurricane risk assessment", Bulletin of the American Meteorological Society, vol. 87, no. 3: [Lancaster, Pa., etc., American Meteorological Society], pp. 299–314, 2006.
Ravela, S., "How do we account for position errors in forecasts and observations in mesoscale data-assimilation?", Geophysical Research Abstracts, vol. 8, pp. 09557, 2006.
Ravela, S., A. Torralba, and WT. Freeman, "An ensemble prior of image structure for cross-modal inference", Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on, vol. 1: IEEE, pp. 871–876, 2005.
Ravela, S., and R. Manmatha, Multi-modal retrieval of trademark images using global similarity, : DTIC Document, 2005.
Ravela, S., "Shaping receptive fields for affine invariance", Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004. , vol. 2: IEEE, pp. II–725, 2004.
Ravela, S. S., On multi-scale differential features and their representations for image retrieval and recognition, : University of Massachusetts Amherst, 2003.
Ravela, S., and C. Luo, "Appearance-based global similarity retrieval of images", Advances in Information Retrieval: Springer, pp. 267–303, 2002.
Uppala, S., DR. Karuppiah, M. Brewer, C. S Ravela, and R. A. Grupen, "On viewpoint control", Robotics and Automation, 2002. Proceedings. ICRA'02. IEEE International Conference on, vol. 4: IEEE, pp. 4334–4339, 2002.
Mitteldorf, J., D. H. Croll, and C. S Ravela, "Multilevel selection and the evolution of predatory restraint", Artificial life VIII: Proceedings of the Eighth International Conference on Artificial Life, pp. 146–152, 2002.
Ravela, S.., "Gaussian Filtered Representations of Images", Wiley Encyclopedia of Electrical and Electronics Engineering: John Wiley & Sons, Inc., 2001.
Ravela, S., and A. Hanson, "On Multi-Scale Differential Features for Face Recognition", Vision Interface, Ottawa, Canada, pp. 15–21, 2001.
Ravela, S., R. Manmatha, and E. Riseman, Image retrieval by syntactic characterization of appearance, : Google Patents, 1999.
Ravela, S., and R. Manmatha, "On computing global similarity in images", Applications of Computer Vision, 1998. WACV'98. Proceedings., Fourth IEEE Workshop on: IEEE, pp. 82–87, 1998.
Ravela, S., and R. Manmatha, "Retrieving images by appearance", Computer Vision, 1998. Sixth International Conference on: IEEE, pp. 608–613, 1998.
Ravela, S., and R. Manmatha, "Retrieving images by similarity of visual appearance", Content-Based Access of Image and Video Libraries, 1997. Proceedings. IEEE Workshop on: IEEE, pp. 67–74, 1997.
Manmatha, R., and C. S Ravela, "Syntactic characterization of appearance and its application to image retrieval", Electronic Imaging'97: International Society for Optics and Photonics, pp. 484–495, 1997.
Ravela, S., and R. Manmatha, "Image retrieval by appearance", ACM SIGIR Forum, vol. 31, no. SI: ACM, pp. 278–285, 1997.
Manmatha, R., S. Ravela, and Y. Chitti, On computing local and global similarity in images, : DTIC Document, 1997.
Ravela, S., R. Manmatha, and E. M. Riseman, "Image retrieval using scale-space matching", Computer Vision—ECCV'96: Springer Berlin Heidelberg, pp. 273–282, 1996.
Ravela, S., R. Weiss, B. Draper, B. Pinette, A. Hanson, and E. Riseman, Stealth navigation: Planning and behaviors, : Department of Computer Science, 1995.
Ravela, S., B. Draper, J. Lim, and R. Weiss, "Adaptive tracking and model registration across distinct aspects", Intelligent Robots and Systems 95.'Human Robot Interaction and Cooperative Robots', Proceedings. 1995 IEEE/RSJ International Conference on, vol. 1: IEEE, pp. 174–180, 1995.
Badal, S., S. Ravela, B. Draper, and A. Hanson, "A practical obstacle detection and avoidance system", Applications of Computer Vision, 1994., Proceedings of the Second IEEE Workshop on: IEEE, pp. 97–104, 1994.
Ravela, S. S., A Survey of Reactivity, : Citeseer, 1992.