{"id":793,"date":"2021-04-01T15:09:05","date_gmt":"2021-04-01T19:09:05","guid":{"rendered":"https:\/\/sites.bu.edu\/neuroautonomy\/?page_id=793"},"modified":"2021-09-19T19:52:01","modified_gmt":"2021-09-19T23:52:01","slug":"publications","status":"publish","type":"page","link":"https:\/\/sites.bu.edu\/neuroautonomy\/publications\/","title":{"rendered":"Scholarly Works"},"content":{"rendered":"

Publications (Peer Reviewed)<\/h3>\n
    \n
  1. A Lesage-Landry, J A Taylor, I Shames, \u201cSecond-order Online Nonconvex Optimization”, in IEEE Transactions on Automatic Control<\/em>, 2021. DOI: 10.1109\/TAC.2020.3040372<\/li>\n
  2. A Pavlov, I Shames, C Manzie, \u201cInterior Point Differential Dynamic Programming\u201d in IEEE Transaction on Control Systems Technology<\/em>, 2021. DOI: 10.1109\/TCST.2021.3049416<\/li>\n
  3. Marzoughi and A. V. Savkin, \u201cAutonomous Navigation of a Team of Unmanned Surface Vehicles for Intercepting Intruders on a Region Boundary,\u201d Sensors<\/em>, vol. 21, no. 1, p. 297, 2021. https:\/\/doi.org\/10.3390\/s21010297<\/li>\n
  4. Savkin and H. Huang, \u201cBioinspired Bearing Only Motion Camouflage UAV Guidance for Covert Video Surveillance of a Moving Target,\u201d IEEE Syst. J.<\/em>, 2020.<\/li>\n
  5. Savkin and H. Huang, \u201cNavigation of a UAV Network for Optimal Surveillance of a Group of Ground Targets Moving Along a Road,\u201d IEEE Trans. Intell. Transp. Syst.<\/em>, 2021.<\/li>\n
  6. Savkin and H.Huang, “Navigation of a Network of Aerial Drones for Monitoring a Frontier of a Moving Environmental Disaster Area”, IEEE Systems Journal. DOI: 10.1109\/JSYST.2020.2966779.<\/li>\n
  7. A .V. Savkin, H.Huang and W.Ni, “Securing UAV Communication in the Presence of Stationary or Mobile Eavesdroppers via Online 3D Trajectory Planning”, IEEE Wireless Communications Letters<\/em>. DOI: 10.1109\/LWC.2020.2986291.<\/li>\n
  8. Fischer T, Milford M. “Event-Based Visual Place Recognition with Ensembles of Temporal Windows”. IEEE <\/em>Robotics and Automation Letters <\/em>5(4):6924-6931<\/li>\n
  9. Zhu, H. Liu, A. Ataei, Y. Munk, T. Daniel, and I. C. Paschalidis, \u201cLearning from animals: How to Navigate Complex Terrains,\u201d PLoS Comput. Biol.<\/em>, vol. 16, no. 1, p. e1007452, 2020.<\/li>\n
  10. L. Molloy, T. Fischer, M. Milford, G.N. Nair, “Intelligent Reference Curation for Visual Place Recognition via Bayesian Selective Fusion”. IEEE Robotics and Automation Letters <\/em>6(2):588-595, 2021, with parallel presentation at ICRA, May 2021.<\/li>\n
  11. Pavlov, I. Shames, and C. Manzie. “Minimax strategy in approximate model predictive control”. Automatica<\/em>, 111:108649, 2020.<\/li>\n
  12. Spiridonoff, A. Olshevsky, and I. C. Paschalidis, \u201cRobust Asynchronous Stochastic Gradient-Push: Asymptotically Optimal and Network-Independent Performance for Strongly Convex Functions.,\u201d Mach. Learn. Res.<\/em>, vol. 21, no. 58, pp. 1\u201347, 2020.<\/li>\n
  13. Alexander AS, Carstensen LC, Hinman JR, Raudies F, Chapman GW, Hasselmo ME (2020) “Egocentric boundary vector tuning of the retrosplenial cortex”. Science Advances<\/em>, 6: eaaz2322. DOI: 10.1126\/sciadv.aaz2322.<\/li>\n
  14. Alexander AS, Robinson JC, Dannenberg H, Kinsky NR, Levy SJ, Mau W, Chapman GW, Sullivan DW, Hasselmo ME (2020) “Neurophysiological coding of space and time in the hippocampus, entorhinal cortex and retrosplenial cortex”. Brain Neurosci. Adv.<\/em> 4: 2398212820972871. DOI: 10.1177\/2398212820972871<\/li>\n
  15. Artin Spiridonoff, Alex Olshevsky, and I. C. Paschalidis, \u201cRobust Asynchronous Stochastic Gradient-Push: Asymptotically Optimal and Network-Independent Performance for Strongly Convex Functions\u201d Journal on Machine Learning Research<\/em>, Vol. 21, No. 58, pages 1\u201347, 2020, doi:\u00a0http:\/\/jmlr.org\/papers\/v21\/18-813.html.<\/li>\n
  16. Burkitt A.N., Hogendoorn, H. (2021) “Predictive visual motion extrapolation emerges spontaneously and without supervision at each layer of a hierarchical neural network with spike-timing-dependent plasticity”, Journal of Neuroscience<\/em> 22 April 2021, JN-RM-2017-20; DOI: 10.1523\/JNEUROSCI.2017-20.2021<\/li>\n
  17. Dannenberg, H., Lazaro, H., Nambiar, P., Hoyland, A., Hasselmo, M.E. (2020) “Effects of visual inputs on neural dynamics for coding of location and running speed in medial entorhinal cortex”. eLife<\/em>, 9: e62500. DOI: 7554\/eLife.62500.<\/li>\n
  18. David M. Rosen, Kevin J. Doherty, Antonio Teran Espinoza, and John J. Leonard. “Advances in Inference and Representation for Simultaneous Localization and Mapping”. Annual Review of Control, Robotics, and Autonomous Systems<\/em>. DOI https:\/\/doi.org\/10.1146\/annurev-control-072720-082553<\/a>.<\/li>\n
  19. Elham Saraee, Mona Jalal, Margrit Betke. \u201cVisual complexity analysis using deep intermediate-layer features,\u201d Computer Vision and Image Understanding<\/em>. Volume 195, 2020, 102949, ISSN 1077-3142, https:\/\/doi.org\/10.1016\/j.cviu.2020.102949<\/a>.<\/li>\n
  20. Huang, A. V. Savkin, and W. Ni, \u201cOnline UAV Trajectory Planning for Covert Video Surveillance of Mobile Targets,\u201d IEEE Trans. Autom. Sci. Eng.<\/em>, 2021.<\/li>\n
  21. Huang and A. V. Savkin, \u201cAutonomous Navigation of a Solar-Powered UAV for Secure Communication in Urban Environments with Eavesdropping Avoidance,\u201d Future Internet<\/em>, vol. 12, no. 10, p. 170, 2020.<\/li>\n
  22. Huang and A. V. Savkin, \u201cEnergy-Efficient Autonomous Navigation of Solar-Powered UAVs for Surveillance of Mobile Ground Targets in Urban Environments,\u201d Energies<\/em>, vol. 13, no. 21, p. 5563, 2020.<\/li>\n
  23. Huang and A. V. Savkin, \u201cEnergy-efficient decentralized navigation of a team of solar-powered UAVs for collaborative eavesdropping on a mobile ground target in urban environments,\u201d Ad Hoc Netw.<\/em>, vol. 117, p. 102485, 2021.<\/li>\n
  24. Huang and A. V. Savkin, \u201cNavigating UAVs for Optimal Monitoring of Groups of Moving Pedestrians or Vehicles,\u201d IEEE Trans. Veh. Technol.<\/em>, vol. 70, no. 4, pp. 3891\u20133896, 2021.<\/li>\n
  25. Huang and A. V. Savkin, \u201cPath Planning for a Solar-Powered UAV Inspecting Mountain Sites for Safety and Rescue,\u201d Energies<\/em>, vol. 14, no. 7, p. 1968, 2021.<\/li>\n
  26. Huang, A. V. Savkin, and C. Huang, \u201cDecentralised Autonomous Navigation of a UAV Network for Road Traffic Monitoring,\u201d IEEE Trans. Aerosp. Electron. Syst.<\/em>, 2021.<\/li>\n
  27. Huang, A. V. Savkin, and X. Li, \u201cReactive Autonomous Navigation of UAVs for Dynamic Sensing Coverage of Mobile Ground Targets,\u201d Sensors<\/em>, vol. 20, no. 13, p. 3720, 2020.<\/li>\n
  28. Huang, A.V. Savkin and W.Ni, “Energy-Efficient 3D Navigation of a Solar-Powered UAV for Secure Communication in the Presence of Eavesdroppers and No-Fly Zones”, Energies<\/em>, 13(6): 1445, 2020. doi:10.3390\/en13061445.<\/li>\n
  29. Hasselmo ME, Alexander AS, Hoyland A, Robinson JC, Bezaire MJ, Chapman GW, Saudargiene A, Carstensen LC, Dannenberg H. “The Unexplored Territory of Neural Models: Potential Guides for Exploring the Function of Metabotropic Neuromodulation”. Neuroscience<\/em>. 2021 Feb 21;456:143-158. doi: 10.1016\/j.neuroscience.2020.03.048. Epub 2020 Apr 8. PMID: 32278058; PMCID: PMC7541517.<\/li>\n
  30. Hausler S, Chen Z, Hasselmo ME, Milford M. (2020). “Bio-inspired multi-scale fusion”.\u00a0 Cybern<\/em>. 114(2):209-229, doi: 10.1007\/s00422-020-00831-z.<\/li>\n
  31. Henghui Zhu, Hao Liu, Armin Ataei, Yonatan Munk, Thomas Daniel, and I. C. Paschalidis, \u201cLearning from Animals: How to Navigate Complex Terrains\u201d, PLOS Computational Biology<\/em>, 16(1): e1007452, 2020, doi:10.1371\/journal.pcbi.1007452.<\/li>\n
  32. Henghui Zhu, I. C. Paschalidis, Allen Chang, Chantal E. Stern, Michael E. Hasselmo, \u201cA Neural Circuit Model for a Contextual Association Task Inspired by Recommender Systems\u201d, Hippocampus, Special Issue: Computational models of hippocampus and related structures<\/em>\u2013Part I, Vol. 30, Issue 4 (April), pages 384-395, 2020, doi: 10.1002\/hipo.23194.<\/li>\n
  33. Levy SJ, Kinsky NR, Mau W, Sullivan DW, Hasselmo ME (2021) “Hippocampal spatial memory representations in mice are heterogeneously stable.” Hippocampus<\/em> 31(3): 244-260. DOI: 10.1002\/hipo.23272.<\/li>\n
  34. Lian, Y., Almasi, A., Grayden, D.B., Kameneva, T., Burkitt, A.N, Meffin, H. (2021) “Learning receptive field properties of complex cell”s in V1, PLOS Computational Biology <\/em>17 (3): e1007957, doi: 10.1371\/journal.pcbi.1007957<\/li>\n
  35. Manjesh K. Hanawal, Hao Liu, Henghui Zhu, and I. C. Paschalidis, \u201cLearning Policies for Markov Decision Processes from Data\u201d, IEEE Transactions on Automatic Control<\/em>, Vol. 64, Issue 6, June 2019, pages 2298\u20132309, doi:10.1109\/TAC.2018.2866455.<\/li>\n
  36. Mau W, Hasselmo ME, Cai DJ (2020) “The brain in motion: How ensemble fluidity drives memory-updating and flexibility”. ELife<\/em>. 9:e63550. DOI: 10.7554\/eLife.63550<\/li>\n
  37. Biggar, M Zamani, I Shames, \u201cAn Expressiveness Hierarchy of Behavior Trees and Related Architectures \u201c, IEEE Robotics and Automation Letters<\/em>, 2021. DOI: 10.1109\/LRA.2021.3074337<\/li>\n
  38. Shi Pu, Alex Olshevsky, and I. C. Paschalidis, \u201cAsymptotic Network Independence in Distributed Stochastic Optimization for Machine Learning\u201d, IEEE Signal Processing Magazine<\/em>, Vol. 37, No. 3, pages 114-122, 2020, doi:10.1109\/MSP.2020.2975212.<\/li>\n
  39. Elmokadem and A. V. Savkin, \u201cA Method for Autonomous Collision-Free Navigation of a Quadrotor UAV in Unknown Tunnel-Like Environments,\u201d Robotica<\/em>, 2021. DOI: https:\/\/doi.org\/10.1017\/S0263574721000849<\/a><\/li>\n
  40. Tingting Xu, Henghui Zhu, and I. C. Paschalidis, \u201cLearning Parametric Policies and Transition Probability Models of Markov Decision Processes from Data\u201d, European Journal of Control<\/em>, doi:10.1016\/j.ejcon.2020.04.003.<\/li>\n
  41. Yanbo Lian, Anthony N. Burkitt. \u201cLearning an efficient hippocampal place map from entorhinal inputs using non-negative sparse coding,\u201d Accepted, <\/em>doi: https:\/\/doi.org\/10.1101\/2020.08.12.248534<\/a><\/li>\n
  42. Zhu, H,\u00a0Paschalidis, IC,\u00a0Chang, A,\u00a0Stern, CE,\u00a0Hasselmo, ME.\u00a0“A neural circuit model for a contextual association task inspired by recommender systems”.\u00a0Hippocampus<\/em>.\u00a02020;\u00a030:\u00a030:\u00a0384\u2013\u00a0395.\u00a0https:\/\/doi.org\/10.1002\/hipo.23194<\/a><\/li>\n
  43. Zolt\u00e1n K\u00f3csi, Trevor Murray, Hansj\u00fcrgen Dahmen, Ajay Narendra, and Jochen Zeil. \u201cThe Antarium: A Reconstructed Visual Reality Device for Ant Navigation Research.\u201d Frontiers in Behavioral Neuroscience.<\/em> 14, 2020. DOI=10.3389\/fnbeh.2020.599374<\/li>\n<\/ol>\n

    Book Chapters (Peer Reviewed)<\/h3>\n
      \n
    1. Ruidi Chen and Ioannis Ch. Paschalidis (2020), “Distributionally Robust Learning”, Foundations and Trends\u00ae in Optimization<\/em>: Vol. 4: No. 1-2, pp 1-243. http:\/\/dx.doi.org\/10.1561\/2400000026<\/li>\n<\/ol>\n

      Conference Papers (Peer Reviewed)<\/h3>\n
        \n
      1. C. Wang, M. Bahreinian, and R. Tron, \u201cChance Constraint Robust Control with Control Barrier Functions,\u201d presented at the American Control Conference, 2021. [Online]. Available: arXiv preprint arXiv:2012.10573<\/li>\n
      2. Chenhongyi Yang, Vitaly Ablavsky, Kaihong Wang, Qi Feng, and Margrit Betke, “Learning to Separate: Detecting Heavily-Occluded Objects in Urban Scenes” 16th European Conference on Computer Vision: ECCV’20 Online.\u00a0August, 2020.\u00a0https:\/\/doi.org\/10.1007\/978-3-030-58523-5_31,\u00a0pp 530-546.<\/li>\n
      3. D. Fourie, A. Teran Espinoza, M. Kaess, and J. Leonard. “Characterizing Marginalization and Incremental Operations on the Bayes Tree.” In Proceedings of the Workshop on Algorithmic Foundations of Robotics (WAFR), June, 2020.<\/li>\n
      4. D. Fourie, N. R. Rypkema, S. D. Claassens, P. Vaz Teixeira, J. Leonard. “Towards Real-Time Non-Gaussian SLAM for Underdetermined Navigation.” In Proceedings of the International Conference on Robots and Systems, Las Vegas, October, 2020.<\/li>\n
      5. Elad Michael, Daniel Zelazo, Tony A. Wood, Chris Manzie, and Iman Shames. \u201cOptimization with Zeroth-Order Oracles in Formation.\u201d Published in 2020 59th IEEE Conference on Decision and Control (CDC) Dec. 14-18, 2020. DOI:\u00a010.1109\/CDC42340.2020.9304272<\/li>\n
      6. G. Colabufo, P. Dower, and I. Shames. “Newton\u2019s method: sufficient conditions for practical and input-to-state stability”. IFAC World Congress, 2020.<\/li>\n
      7. Garg S, Fischer T, Milford M, \u201cWhere is your place, Visual Place Recognition?\u201d, Proceedings of the International Joint Conference on Artificial Intelligence, 2021.<\/li>\n
      8. H. Hailong, A. V. Savkin, and W. Ni, \u201cDecentralized Covert and Collaborative Radio Surveillance on a Group of Mobile Ground Nodes by a UAV Swarm,\u201d presented at the IEEE Industrial Informatics Conference (INDIN2020), 2020.<\/li>\n
      9. Hausler S, Garg S, Xu M, Milford M, Fischer T, \u201cPatch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition\u201d, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021.<\/li>\n
      10. H. Huang, A.V.Savkin and W.Ni, “A Method for Covert Video Surveillance of a Car or a Pedestrian by an Autonomous Aerial Drone via Trajectory Planning”, IEEE International Conference on Control, Automation and Robotics, 2020.<\/li>\n
      11. J. Queeney, I. C. Paschalidis, and C. G. Cassandras, \u201cUncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach,\u201d 35th AAAI Conference on Artificial Intelligence (AAAI-21), Feb. 2021<\/li>\n
      12. Jiahui Fu, Qiangqiang Huang, Kevin Doherty, Yue Wang, and John J. Leonard. \u201cA Multi-Hypothesis Approach to Pose Ambiguity in Object-Based SLAM.\u201d Under Review, IEEE\/RSJ International Conference\u00a0on\u00a0Intelligent Robots\u00a0and\u00a0Systems (IROS 2021). 9\/\u200b27\/2021\u00a0– 10\/1\/2021. Prague,\u00a0Czech Republic<\/li>\n
      13. John Baillieul and Feiyang Kang, “Visual Navigation with a 2-pixel Camera—Possibilities and Limitations,” In Proceedings of the 21st IFAC World Congress in Berlin, Germany, July 12-17, 2020. Also available from http:\/\/arxiv.org\/abs\/2103.00285<\/a>.<\/li>\n
      14. J. Baillieul, \u201cPerceptual Control with Large Feature and Actuator Networks,\u201d\u00a0 2019 IEEE 58th Conference on Decision and Control (CDC), Nice, France, December 11-13, 2019, pp. 3819-3826, doi: 10.1109\/CDC40024.2019.9029615.<\/li>\n
      15. Ok, K. Liu, and N. Roy, \u201cHierarchical Object Map Estimation for Efficient and Robust Navigation,\u201d presented at the Proceedings of the IEEE Conference on Robotics and Automation (ICRA), Virtual, 2021.<\/li>\n
      16. Kaihong Wang, Chenhongyi Yang, and Margrit Betke. “Consistency Regularization with High-dimensional Non-adversarial Source-guided Perturbation for Unsupervised Domain Adaptation in Segmentation”. The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), February 2021. 9 pages.<\/li>\n
      17. M. Bahreinian, E. Aasi, and R. Tron, \u201cRobust Planning and Control For Polygonal Environments via Linear Programming,\u201d presented at the American Control Conference, 2021. [Online]. Available: arXiv preprint arXiv:1910.07976<\/li>\n
      18. M. Gnanasekera, A.V.Savkin and J.Katupitiya, “Range Measurements Based UAV Navigation for Intercepting Ground Targets”, IEEE International Conference on Control, Automation and Robotics, 2020.<\/li>\n
      19. Pavlov, Andrei and Muller, Matthias an Manzie, Chris and Shames, Iman, “Complexity minimisation of suboptimal MPC without terminal constraints”, IFAC World Congress, 2020.<\/li>\n
      20. Q. Huang, C. Pu, D. Fourie, K. Khosoussi, J. P. How, and J. J. Leonard. “NF-iSAM: Incremental Smoothing and Mapping via Normalizing Flows”. In IEEE Intl. Conf. on Robotics and Automation (ICRA), Prague, Czech Republic, May, 2021.<\/li>\n
      21. Renganathan, Venkatraman and Shames, Iman and Summers, Tyler H, “Towards Integrated Perception and Motion Planning with Distributionally Robust Risk Constraints”, IFAC World Congress, 2020.<\/li>\n
      22. Ruidi Chen and I. C. Paschalidis, \u201cA Distributionally Robust Optimization Approach for Multivariate Linear Regression under the Wasserstein Metric\u201d, Proceedings of the 58th IEEE Conference on Decision and Control}, pages 3655\u20133660, December 11-13, 2019, Nice, France,\u00a0 doi: 10.1109\/CDC40024.2019.9029832.<\/li>\n
      23. T. Elmokadem, \u201cA 3D Reactive Navigation Method for UAVs in Unknown Tunnel-like Environments,\u201d in 2020 Australian and New Zealand Control Conference (ANZCC), 2020, pp. 119\u2013124.<\/li>\n
      24. T. Elmokadem, \u201cA Control Strategy for the Safe Navigation of UAVs Among Dynamic Obstacles using Real-Time Deforming Trajectories,\u201d in 2020 Australian and New Zealand Control Conference (ANZCC), 2020, pp. 97\u2013102.<\/li>\n
      25. L. Molloy, G.N. Nair, “Smoothing-Averse Control: Covertness and Privacy from Smoothers”. In Proc. American Control Conference, May 2021.<\/li>\n
      26. Taiyao Wang and I. C. Paschalidis, \u201cConvergence of Parameter Estimates for\u00a0 Regularized Mixed Linear Regression Models\u201d, Proceedings of the 58th IEEE Conference on Decision and Control, pages 3664-3669, December 11-13, 2019, Nice, France, doi: 10.1109\/CDC.2018.8619435.<\/li>\n
      27. V. Amblard, T. Osedach, A. Croux, A. Speck, John J. Leonard. “Lidar-Monocular Surface Reconstruction Using Line Segments”. In IEEE Intl. Conf. on Robotics and Automation (ICRA), Prague, Czech Republic, May, 2021.<\/li>\n
      28. Wang, Q., Zheng, Y., & Betke, M. (2020). “A method for detecting text of arbitrary shapes in natural scenes that improves text spotting”. In 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE. doi:10.1109\/cvprw50498.2020.00278<\/li>\n
      29. X. Li, H. Huang and A.V. Savkin, “Autonomous Drone Shark Shield: A Novel Shark Repelling System for Protecting Swimmers and Surfers,” IEEE International Conference on Control, Automation and Robotics, 2020.<\/li>\n
      30. X. Li, H. Huang, and A. V. Savkin, \u201cUse of A UAV Base Station for Searching and Bio-inspired Covert Video Surveillance of Tagged Wild Animals,\u201d in 2020 Australian and New Zealand Control Conference (ANZCC), 2020, pp. 87\u201390.<\/li>\n
      31. Y. Zhang and J. J. Leonard. “A Front-End for Dense Monocular Visual Odometry using a Learned Outlier Mask Prior Localization and Mapping”. In IEEE Intl. Conf. on Robotics and Automation (ICRA), Prague, Czech Republic, May, 2021.<\/li>\n
      32. Yi Zheng, Wenda Qin, Derry Wijaya, and Margrit Betke \u201cLAL: Linguistically Aware Learning for Scene Text Recognition.\u201d MM ’20: Proceedings of the 28th ACM International Conference on Multimedia. October 12\u201316, 2020, Seattle, WA, USA. https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3394171.3413913<\/a><\/li>\n
      33. Yiwen Gu, Shreya Pandit, Elham Saraee, Timothy Nordahl, TerryEllis, and Margrit Betke. “Home-based Physical Therapy with an Interactive Computer Vision System”. Assistive Computer Vision and Robotics Workshop at the International Conference on Computer Vision Workshop, Seoul, South Korea, October 2019.<\/li>\n
      34. Z. Zhang and I. C. Paschalidis, \u201cProvable Hierarchical Imitation Learning via EM,\u201d ICML 2020 Workshop on Theoretical Foundations of Reinforcement Learning, Jul. 2020. [Online]. Available: https:\/\/wensun.github.io\/rl_theory_workshop_2020_ICML.github.io\/<\/a><\/li>\n
      35. Z. Zhang and I. Paschalidis, \u201cProvable Hierarchical Imitation Learning via EM,\u201d in International Conference on Artificial Intelligence and Statistics, 2021, pp. 883\u2013891.<\/li>\n
      36. Zheng, Y., Qin, W., Wijaya, D., & Betke, M. (2020). “LAL: Linguistically Aware Learning for Scene Text Recognition”. In Proceedings of the 28th ACM International Conference on Multimedia. ACM. doi:10.1145\/3394171.3413913<\/li>\n<\/ol>\n
          <\/ul>\n

          Theses<\/h3>\n
            \n
          1. Chiara Boretti and Philippe Bich, “Dictionary of Motion Primitives for Vision-Based Navigation Using Optical Flow,” A Masters Degree Thesis in Mechatronic Engineering, Politecnico di Torino, April, 2021. Co-Advisor: Baillieul.<\/li>\n
          2. Andrei Pavlov, \u201cEfficient Methods for Control of Dynamical Systems\u201d, PhD in Electrical and Electronic Engineering, University of Melbourne, 2021, Advisor: Shames.<\/li>\n
          3. Ruidi Chen, “Distributionally Robust Learning under the Wasserstein Metric”, Ph.D. in Systems Engineering, Boston University, September 2019. Advisor: Paschalidis.<\/li>\n
          4. Tingting Xu, “Machine Learning for Effective Predictions and Prescriptions in Health Care”, Ph.D. in Systems Engineering, Boston University, May 2020. Advisor: Paschalidis.<\/li>\n
          5. Henghui Zhu, “Making Decisions Based on Context: Models and Applications in Cognitive Sciences and Natural Language Processing”, Ph.D. in Systems Engineering, Boston University, December 2019. Advisor: Paschalidis.<\/li>\n<\/ol>\n

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            Publications (Peer Reviewed) A Lesage-Landry, J A Taylor, I Shames, \u201cSecond-order Online Nonconvex Optimization”, in IEEE Transactions on Automatic Control, 2021. DOI: 10.1109\/TAC.2020.3040372 A Pavlov, I Shames, C Manzie, \u201cInterior Point Differential Dynamic Programming\u201d in IEEE Transaction on Control Systems Technology, 2021. DOI: 10.1109\/TCST.2021.3049416 Marzoughi and A. V. Savkin, \u201cAutonomous Navigation of a Team of […]<\/p>\n","protected":false},"author":10316,"featured_media":0,"parent":0,"menu_order":9,"comment_status":"closed","ping_status":"closed","template":"page-templates\/no-sidebars.php","meta":[],"_links":{"self":[{"href":"https:\/\/sites.bu.edu\/neuroautonomy\/wp-json\/wp\/v2\/pages\/793"}],"collection":[{"href":"https:\/\/sites.bu.edu\/neuroautonomy\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.bu.edu\/neuroautonomy\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.bu.edu\/neuroautonomy\/wp-json\/wp\/v2\/users\/10316"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.bu.edu\/neuroautonomy\/wp-json\/wp\/v2\/comments?post=793"}],"version-history":[{"count":16,"href":"https:\/\/sites.bu.edu\/neuroautonomy\/wp-json\/wp\/v2\/pages\/793\/revisions"}],"predecessor-version":[{"id":838,"href":"https:\/\/sites.bu.edu\/neuroautonomy\/wp-json\/wp\/v2\/pages\/793\/revisions\/838"}],"wp:attachment":[{"href":"https:\/\/sites.bu.edu\/neuroautonomy\/wp-json\/wp\/v2\/media?parent=793"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}