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Publications

 

  1. R. Soleimani, S. Guo, K.L. Haley, A. Jacks and E. Lobaton, “The Impact of Pause and Filler Word Encoding on Dementia Detection with Contrastive Learning,” Applied Sciences 2024, 14, 8879.
  2. S. Banerjee, J. Reynolds, M. Taggart, M. Daniele, A. Bozkurt, E. Lobaton, “Quantifying Visual Differences in Drought-Stressed Maize through Reflectance and Data-Driven Analysis,” AI 2024, 5, 790-802
  3. R. Soleimani, J. Barahona, Y. Chen, A. Bozkurt, M. Daniele, V. Pozdin, E. Lobaton, “Deep Neural Sleep Staging: Recent Advances in Modeling and Interpretability,” Physiologia 2024, 4, 1-42. https://doi.org/10.3390/physiologia4010001.
  4. Y. Chen, P. Attri, J. Barahona, M. Hernandez, D. Carpenter, A. Bozkurt, E. Lobaton, “Robust Cough Detection with Out-of-Distribution Detection,” IEEE Journal of Biomedical and Health Informatics, doi: 10.1109/JBHI.2023.3264783, 2023.
  5. T. Richmond, J. Cole, G. Dangler, M. Daniele, T. Marchitto, E. Lobaton, “Forabot: Automated Planktic Foraminifera Isolation and Imaging,” Geochemistry, Geophysics, Geosystems, 23(12):e2022GC010689, 2022
  6. B. Graham, J. Park, G. Billings, A. Hulse-Kemp, C. Haigler, E. Lobaton, “Efficient Imaging and Computer Vision Detection of Two Cell Shapes in Young Cotton Fibers,” Applications in Plant Sciences, 10(6): e11503, 2022.
  7. R. Soleimani, E. Lobaton, “Enhancing Inference on Physiological and Kinematic Periodic Signals via Phase-Based Interpretability and Multi-Task Learning,” Information, 13, 326, 2022.
  8. B. Zhong, R. da Silva, M. Tran, H. Huang and E. Lobaton, “Efficient Environmental Context Prediction for Lower Limb Prostheses,” IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2021.
  9. S. Haque, E. Lobaton, N. Nelson, G. C. Yencho, K. V. Pecota, R. Mierop, M. W. Kudenov, M. Boyette and C. M. Williams, “Computer vision approach to characterize size and shape phenotypes of horticultural crops using high-throughput imagery,” Computers and Electronics in Agriculture, vol. 182, 2021.
  10. Q. Ge, T. Richmond, B. Zhong, T.M. Marchitto and E. Lobaton, “Enhancing the Morphological Segmentation of Microscopic Fossils Through Localized Topology-Aware Edge Detection,” Autonomous Robots, 2020.
  11. J. Cole, A. Bozkurt and E. Lobaton, “Localization of Biobotic Insects Using Low-Cost Inertial Measurement Units,” Sensors 2020, 20, 4486.
  12. B. Zhong, H. Huang and E. Lobaton, “Reliable Vision-Based Grasping Target Recognition for Upper Limb Prostheses,” in IEEE Transactions on Cybernetics, 2020.
  13. B. Zhong, R. da Silva, M. Li, H. Huang and E. Lobaton, “Environmental Context Prediction for Lower Limb Prostheses with Uncertainty Quantification,” IEEE Transactions on Automation Science and Engineering, 2020.
  14. F. Mohaddes, R. da Silva, F. Akbulut, Y. Zhou, A. Tanneeru, E. Lobaton, B. Lee and V. Misra, “A Pipeline for Adaptive Filtering and Transformation of Noisy Left-Arm ECG to Its Surrogate Chest Signal,” Electronics, 9(5), 2020.
  15. P. Ramos-Gilardo, C. Reberg-Horton, A. M. Locke, S. Mirsky and E. Lobaton, “Drought stress detection using low-cost Computer Vision System and Machine Learning techniques,” IT Professional, vol. 22, no. 3, pp. 27-29, 1 May-June 2020.
  16. K. Asadi, A. Kalkunte, A. Ender, S. Gotad, S. Maniyar, S. Anand, M. Noghabaei, K. Han, E. Lobaton, T. Wu, “An Integrated UGV-UAV System for Construction Site Data Collection,” Automation in Construction, 112, 2020.
  17. K. Asadi, P. Chen, K. Han, T. Wu, E. Lobaton, “LNSNet: Lightweight Navigable Space Segmentation for Autonomous Robots on Construction Sites,” Data, 4(1), 2019.
  18. R. Mitra, T.M. Marchitto, Q. Ge, B. Zhong, B. Kanakiya, M.S. Cook, J.S. Fehrenbacher, J.D. Ortiz, A. Tripati, E. Lobaton, “Automated species-level identification of planktic foraminifera using convolutional neural networks, with comparison to human performance,” Marine Micropaleontology, 147, 2019, pp 16-24.
  19. N. Starliper, F. Mohammadzadeh, T. Songkakul, M. Hernandez, A. Bozkurt, E. Lobaton, “Activity-Aware Wearable System for Power-Efficient Prediction of Physiological Responses,” Sensors, 19(3), 2019, 441.
  20. K. Asadi, H. Ramshankar, H. Pullagurla, A. Bhandare, S. Shanbhaq, P. Mehta, S. Kundu, K. Han, E. Lobaton, T. Wu, “Vision-Based Integrated Mobile Robotic System for Real-Time Applications in Construction,” Automation in Construction Journal, 96, 2018, 470-482.
  21. N. Lokare, B. Zhong and E. Lobaton, “Activity-Aware Physiological Response Prediction using Wearable Sensors,” Inventions, 2(4), 2017. [ Dataset ]
  22. A. Dirafzoon, A. Bozkurt and E. Lobaton, “A Framework for Mapping with Biobotic Insect Networks: From Local to Global Maps,” Robotics and Autonomous Systems Journal, Volume 88, pp.79-96, 2017. [ Video 1 | Video 2 ]
  23. G.M. Pomann, A. Staicu, E. Lobaton, A. Mejia, B. Dewey, D.S. Reich, E. Sweeney, R. Shinohara, “Functional Linear Model for Prediction of Magnetization Transfer Ratio in Multiple Sclerosis Lesions,” Annals of Applied Statistics, 10(4), 2017, 2325-2348.
  24. A. Dirafzoon, A. Bozkurt and E. Lobaton, “Geometric Learning and Topological Inference with Biobotic Networks,” IEEE Transactions on Signal and Information Processing over Networks,Volume 3, Issue 1, 2017.
  25. A. Bozkurt, E. Lobaton, M. Sichitiu, “A Biobotic Distributed Sensor Network for Under Rubble Search and Rescue,” IEEE Computer Magazine, May 2016.
  26. A. Bozkurt, E. Lobaton, M. Sichitiu, “Biobotic Insect Sensor Networks for Search and Rescue,” Journal of Homeland Defense & Security Information Analysis Center, 2(2), 2015.
  27. A. Bozkurt, E. Lobaton, M. Sichitiu, T. Hedrick, T. Latif, A. Dirafzoon, E. Whitmire, A. Verderber, J. Marin, and H. Xiong, “Biobotic Insect Swarm Based Sensor Networks for Search and Rescue,” Proceedings of SPIE, 9091, 2014.
  28. P. Chen, K. Hong, N. Naikal, S.S. Sastry, D. Tygar, P. Yan, A.Y. Yang, L.C. Chang, L. Lin, S. Wang, E. Lobaton, S. Oh, P. Ahammad, “A Low-Bandwidth Camera Sensor Platform with Applications in Smart Camera Networks”, ACM Transactions on Sensor Networks, 2012.

 

 

  1. R. da Silva, N. Starliper, D.K. Bhosale, M. Taggart, R. Ranganath, T. Sarje, M. Daniele, A. Bozkurt, T. Rufty and E. Lobaton, “Feasibility Study of Water Stress Detection in Plants using a High-Throughput Low-Cost System,” IEEE Sensors, 2020.
  2. T. Latif, L. Gonzalez, J. Dieffenderfer, Y. Liao, M. Hernandez, V. Misra, E. Lobaton and A. Bozkurt, “Preliminary Assessment of Human Biological Responses to Low-level Ozone,” IEEE Sensors, 2020.
  3. P. Ramos-Giraldo, C. Reberg-Horton, S. Mirsky, E. Lobaton, A. Lock, E. Henriquez, A. Zuniga, A. Minin, “Low-Cost Camera to Detect Water Stress in Crops with Embedded Machine Learning,” IEEE Sensors 2020.
  4. R. da Silva, E. Stone and E. Lobaton, “A Feasibility Study of a Wearable Real-Time Notification System for Self-Awareness of body-Rocking Behavior,” IEEE Engineering in Medicine and Biology Conference (EMBC), 2019.
  5. L. Gonzalez, T. Paniagua, N. Starliper and E. Lobaton, “Signal Quality for RR Interval Prediction on Wearable Sensors,” IEEE Engineering in Medicine and Biology Conference (EMBC), 2019.
  6. K. Asadi, R. Jain, Z. Qin, M. Sun, M. Noghabaei, J. Cole, K. Han and E. Lobaton, “Vision-based Obstacle Removal System for Autonomous Ground Vehicles using a Robotic Arm,” ASCE International Conference on Computing in Civil Engineering (i3CE), 2019.
  7. F. Mohammadzadeh, C.S. Nam, and E. Lobaton, “Prediction of Physiological Response over Varying Forecast Lengths with a Wearable Health Monitoring Platform,” IEEE Engineering in Medicine and Biology Conference (EMBC), 2018.
  8. L. Gonzalez, B. Zhong, and E. Lobaton, “A Framework for Physiological Response Prediction with Joint Activity State Optimization,” IEEE Engineering in Medicine and Biology Conference (EMBC), 2018.
  9. J.P. Diaz-Paz, R.L. da Silva, B. Zhong, H. Huang, and E. Lobaton, “Visual Terrain Identification and Surface Inclination Estimation for Improving Human Locomotion with a Lower-Limb Prosthetic,” IEEE Engineering in Medicine and Biology Conference (EMBC), 2018.
  10. K. Asadi, H. Ramshankar, H. Pullagurla, A. Bhandare, S. Shanbhag, P. Mehta, S. Kundu, K. Han, E. Lobaton, T. Wu, “Building an Integrated Mobile Robotic System for Real-Time Application in Construction,” Intl. Symp. on Automation and Robotics in Construction (ISARC), 2018.
  11. B. Zhong, Q. Ge, B. Kanakiya, R. Mitra, T. Marchitto, E. Lobaton, “A Comparative Study of Image Classification Algorithms for Foraminifera Identification,” IEEE Symp. Series on Computational Intelligence (SSCI), 2017.
  12. Q. Ge and E. Lobaton, “Obstacle Detection in Outdoor Scenes based on Multi-Valued Stereo Disparity Maps,” IEEE Symp. Series on Computational Intelligence (SSCI), 2017.
  13. B. Zhong, Z. Qin, S. Yang, J. Chen, N. Mudrick, M. Taub, R. Azevedo, E. Lobaton, “Emotion Recognition with Facial Expressions and Physiological Signals,” IEEE Symp. Series on Computational Intelligence (SSCI), 2017.
  14. Q. Ge, B. Zhong, B. Kanakiya, R. Mitra, T. Marchitto, E. Lobaton, “Coarse-to-Fine Foraminifera Image Segmentation through 3D and Deep Features,” IEEE Symp. Series on Computational Intelligence (SSCI), 2017.
  15. N. Lokare, S. Samadi, B. Zhong, L. Gonzalez, F. Mohammadzadeh, E. Lobaton, “Energy-Efficient Activity Recognition via Multiple Time-Scale Analysis,” IEEE Symp. Series on Computational Intelligence (SSCI), 2017.
  16. J. Cole, T. Agcayazi, T. Latif, A. Bozkurt, E. Lobaton, “Speed Estimation based on Gait Analysis for Biobotic Agents,” IEEE Sensors Conf., 2017.
  17. N. Lokare, T. Richmond, E. Lobaton, “Robust Trajectory-based Density Estimation for Geometric Structure Recovery,” European Signal Processing Conf. (EUSIPCO), 2017.
  18. J. Cole, F. Mohammadzadeh, C. Bollinger, T. Latif, A. Bozkurt, E. Lobaton, “A Study on Motion Mode Identification for Cyborg Roaches,” Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2017.
  19. A. Dirafzoon, T. Latif, F. Gong, M. Sichitiu, A. Bozkurt, E. Lobaton, “Biobotic Motion and Behavior Analysis in Response to Directional Neurostimulation,” Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2017. [ VIDEO ]
  20. A. Dirafzoon, N. Lokare and E. Lobaton, “Action Classification from Motion Capture Data using Topological Data Analysis,” IEEE Global Conf. on Signal and Information Processing (GlobalSIP), 2016.
  21. N. Lokare, D. Benavides, S. Juneja and E. Lobaton, “Hierarchical Activity Clustering Analysis for Robust Graphical Structure Recovery,” IEEE Global Conf. on Signal and Information Processing (GlobalSIP), 2016. [ VIDEO ]
  22. N. Lokare, L. Gonzalez and E. Lobaton, “Comparing the Effect of Muscle Activation in Wearable Devices using Wet and Textile Electrodes,” IEEE Engineering in Medicine and Biology Conference (EMBC), 2016.
  23. T. Latif, M. Yang, E. Lobaton and A. Bozkurt, “Preliminary Statistical Assessment towards Characterization of Biobotic Control,” IEEE Engineering in Medicine and Biology Conference (EMBC), 2016.
  24. H. Xiong, T. Latif, E. Lobaton, A. Bozkurt and M. L. Sichitiu, “Characterization of RSS Variability for Biobot Localization using 802.15.4 Radios,” IEEE Topical Meeting on Wireless Sensors and Sensor Networks (WiSNet), 2016.
  25. Q. Ge and E. Lobaton, “Consensus-Based Image Segmentation via Topological Persistence,” Intl. Workshop on Differential Geometry in Computer Vision and Machine Learning (DIFF-CVML) at CVPR, 2016.
  26. A. Dirafzoon, E. Lobaton and A. Bozkurt, “Demonstration: Exploration and Topological Mapping with Hexbugs,” Intl. Conf. on Information Processing in Sensor Networks (IPSN), 2015.
  27. S. Chattopadhyay, Q. Ge. C. Wei and E. Lobaton, “Robust Multi-Target Tracking in Outdoor Traffic Scenarios via Persistence Topology based Robust Motion Segmentation,” IEEE Global Conf. on Signal and Information Processing (GlobalSIP), 2015.
  28. A. Dirafzoon, J. Betthauser, J. Schornick, D. Benavides, and E. Lobaton, “Mapping of Unknown Environments using Minimal Sensing from a Stochastic Swarm,” Intl. Conf. on Intelligent Robots and Systems (IROS), 2014. [ VIDEO ]
  29. C. Wei, Q. Ge, S. Chattopadhyay, and E. Lobaton, “Robust Obstacle Segmentation based on Topological Persistence in Outdoor Traffic Scenes,” IEEE Symposium Series on Computational Intelligence (SSCI), 2014.
  30. J. Betthauser, D. Benavides, J. Schornick, N. O’Hara, J. Patel, J. Cole, and E. Lobaton, “WolfBot: A Distributed Mobile Sensing Platform for Research and Education,” Zone 1 Conf of the ASEE, 2014. [ VIDEOS ]
  31. N. Lokare, Q. Ge, W. Snyder, Z. Jewell, S. Allibhai, and E. Lobaton, “Manifold Learning Approach to Curve Identification with Applications to Footprint Segmentation,” IEEE Symposium Series on Computational Intelligence (SSCI), 2014.
  32. Q. Ge, N. Lokare, and E. Lobaton, “Non-Rigid Image Registration under non-Deterministic Deformation Bounds,” Intl. Symposium on Medical Information Processing and Analysis (SIPAIM), 2014.
  33. A. Bozkurt, E. Lobaton, M. Sichitiu, T. Hedrick, T. Latif, A. Dirafzoon, E. Whitmire, A. Verderber, J. Marin, and H. Xiong, “Biobotic Insect Swarm Based Sensor Networks for Search and Rescue,” Proceedings of SPIE, 9091, 2014.
  34. A. Dirafzoon, and E. Lobaton, “Topological Mapping of Unknown Environments using an Unlocalized Robotic Swarm,” International Conference on Intelligent Robotics and Systems (IROS), 2013. [ VIDEO ]
  35. G. Medina and E. Lobaton, “3-D Visual Reconstruction: A System Perspective,” International Symposium on Innovation and Technology (ISIT), Peru, 2011.

 

  1. B. Zhong, “Reliable Deep Learning for Intelligent Wearable Systems,” PhD NCSU, 2020.
  2. L. Gonzalez, “Context Models for Physiological Response under Signal Quality,” PhD NCSU, 2020.
  3. F. Mohammadzadeh, “Power Efficient Physiological Response Prediction for Wearable Health Monitoring Platforms,” PhD NCSU, 2018.
  4. N. Lokare, “A Framework for Activity Recognition and Prediction of Physiological Responses: Applications to Health Monitoring using Wearable Sensors,” PhD NCSU, 2017
  5. A. Dirafzoon, “Mapping with Biobotic Insect Networks: A Geometric Estimation and Topological Data Analysis Framework,” PhD NCSU, 2016
  6. A. Nag, “A Vision-Based Odometry Model for Adaptive Human-Robot Systems,” Masters NCSU, 2016.
  7. H. Pandya, “Mobile Manipulator Based Framework for Dataset Generation and Algorithm Testing,” Masters NCSU, 2015.
  8. C. Wei, “Driver Assistant System: Robust Segmentation based on Topological Persistent Analysis and Multi-target Tracking based on Dynamic Programming,” Masters NCSU, 2014.
  9. S. Juneja, “Biomechanical and Gait Analysis of Human Motions using Lift-Assist Devices,” Masters NCSU, 2014.