var bibbase_data = {"data":"<img src=\"//bibbase.org/img/ajax-loader.gif\" id=\"spinner\"\n  style=\"display: none;\" alt=\"Loading..\" />\n\n<div id=\"bibbase\">\n\n  <script type=\"text/javascript\">\n    var bibbase = {\n      params: {\"jsonp\":\"1\",\"authorFirst\":\"1\",\"filter\":\"type:article\",\"theme\":\"dividers\",\"host\":\"bibbase.org\"},\n      data: [{\"title\":\"Integrating Exploratory Data Analytics into ReaxFF Parameterization\",\"type\":\"article\",\"year\":\"2018\",\"pages\":\"1300-1310\",\"volume\":\"8\",\"websites\":\"https://www.cambridge.org/core/product/identifier/S2159685918001556/type/journal_article\",\"month\":\"9\",\"day\":\"18\",\"id\":\"41741ef3-ea42-36c3-b9f2-1d4ef12f282f\",\"created\":\"2019-07-08T20:56:48.639Z\",\"accessed\":\"2019-07-08\",\"file_attached\":false,\"profile_id\":\"0bdc2b56-796f-3d8c-b59b-624a5fa689c3\",\"last_modified\":\"2020-07-10T06:28:05.925Z\",\"read\":false,\"starred\":false,\"authored\":\"true\",\"confirmed\":\"true\",\"hidden\":false,\"citation_key\":\"hernandez2018integrating\",\"patent_owner\":\"Ghassemi, Payam\",\"private_publication\":false,\"abstract\":\"We present a systematic approach to refine hyperdimensional interatomic potentials, which is showcased on the ReaxFF formulation. 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Two potentials were identified which improved on an existing parameterization for the objective set if interest, showcasing the framework's capabilities.\",\"bibtype\":\"article\",\"author\":\"Hernández-Rivera, Efraín and Chowdhury, Souma and Coleman, Shawn P. and Ghassemi, Payam and Tschopp, Mark A.\",\"doi\":\"10.1557/mrc.2018.155\",\"journal\":\"MRS Communications\",\"number\":\"03\",\"keywords\":\"ADAMS,SBO\",\"bibtex\":\"@article{\\n title = {Integrating Exploratory Data Analytics into ReaxFF Parameterization},\\n type = {article},\\n year = {2018},\\n pages = {1300-1310},\\n volume = {8},\\n websites = {https://www.cambridge.org/core/product/identifier/S2159685918001556/type/journal_article},\\n month = {9},\\n day = {18},\\n id = {41741ef3-ea42-36c3-b9f2-1d4ef12f282f},\\n created = {2019-07-08T20:56:48.639Z},\\n accessed = {2019-07-08},\\n file_attached = {false},\\n profile_id = {0bdc2b56-796f-3d8c-b59b-624a5fa689c3},\\n last_modified = {2020-07-10T06:28:05.925Z},\\n read = {false},\\n starred = {false},\\n authored = {true},\\n confirmed = {true},\\n hidden = {false},\\n citation_key = {hernandez2018integrating},\\n patent_owner = {Ghassemi, Payam},\\n private_publication = {false},\\n abstract = {We present a systematic approach to refine hyperdimensional interatomic potentials, which is showcased on the ReaxFF formulation. 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In this regard, decentralized swarm systems are touted for their coverage scalability, time efficiency, and fault tolerance. To guide the behavior of such swarm systems, two broad classes of approaches are available, namely, nature-inspired swarm heuristics and multi-robotic search methods. However, the ability to simultaneously achieve efficient scalability and provide fundamental insights into the exhibited behavior (as opposed to exhibiting a black-box behavior) remains an open problem. To address this problem, this paper extends the underlying search approach in batch-Bayesian optimization to perform search with embodied swarm agents operating in a (simulated) physical 2D arena. 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 title = {Integrating Exploratory Data Analytics into ReaxFF Parameterization},
 type = {article},
 year = {2018},
 pages = {1300-1310},
 volume = {8},
 websites = {https://www.cambridge.org/core/product/identifier/S2159685918001556/type/journal_article},
 month = {9},
 day = {18},
 id = {41741ef3-ea42-36c3-b9f2-1d4ef12f282f},
 created = {2019-07-08T20:56:48.639Z},
 accessed = {2019-07-08},
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 profile_id = {0bdc2b56-796f-3d8c-b59b-624a5fa689c3},
 last_modified = {2020-07-10T06:28:05.925Z},
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 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {hernandez2018integrating},
 patent_owner = {Ghassemi, Payam},
 private_publication = {false},
 abstract = {We present a systematic approach to refine hyperdimensional interatomic potentials, which is showcased on the ReaxFF formulation. The objective of this research is to utilize the relationship between interatomic potential input variables and objective responses (e.g., cohesive energy) to identify and explore suitable parameterizations for the boron carbide (B–C) system. Through statistical data analytics, ReaxFF's parametric complexity was overcome via dimensional reduction (55 parameters) while retaining enough degrees of freedom to capture most of the variability in responses. Two potentials were identified which improved on an existing parameterization for the objective set if interest, showcasing the framework's capabilities.},
 bibtype = {article},
 author = {Hernández-Rivera, Efraín and Chowdhury, Souma and Coleman, Shawn P. and Ghassemi, Payam and Tschopp, Mark A.},
 doi = {10.1557/mrc.2018.155},
 journal = {MRS Communications},
 number = {03},
 keywords = {ADAMS,SBO}
}

@article{
 title = {An Extended Bayesian Optimization Approach to Decentralized Swarm Robotic Search},
 type = {article},
 year = {2020},
 volume = {20},
 websites = {https://asmedigitalcollection.asme.org/computingengineering/article-abstract/doi/10.1115/1.4046587/1075826/An-Extended-Bayesian-Optimization-Approach-to?redirectedFrom=fulltext},
 month = {10},
 day = {1},
 id = {245dc51f-2b33-32f7-a83e-c237548a2f71},
 created = {2019-10-31T00:37:20.554Z},
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 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {ghassemi2020bswarm-jcise},
 patent_owner = {Ghassemi, Payam},
 private_publication = {false},
 abstract = {Swarm robotic search aims at searching targets using a large number of collaborating simple mobile robots, with applications to search and rescue and hazard localization. In this regard, decentralized swarm systems are touted for their coverage scalability, time efficiency, and fault tolerance. To guide the behavior of such swarm systems, two broad classes of approaches are available, namely, nature-inspired swarm heuristics and multi-robotic search methods. However, the ability to simultaneously achieve efficient scalability and provide fundamental insights into the exhibited behavior (as opposed to exhibiting a black-box behavior) remains an open problem. To address this problem, this paper extends the underlying search approach in batch-Bayesian optimization to perform search with embodied swarm agents operating in a (simulated) physical 2D arena. Key contributions lie in (1) designing an acquisition function that not only balances exploration and exploitation across the swarm but also allows modeling knowledge extraction over trajectories and (2) developing its distributed implementation to allow asynchronous task inference and path planning by the swarm robots. The resulting collective informative path planning approach is tested on target-search case studies of varying complexity, where the target produces a spatially varying (measurable) signal. Notably, superior performance, in terms of mission completion efficiency, is observed compared to exhaustive search and random walk baselines as well as a swarm optimization-based state-of-the-art method. Favorable scalability characteristics are also demonstrated.},
 bibtype = {article},
 author = {Ghassemi, Payam and Chowdhury, Souma},
 doi = {10.1115/1.4046587},
 journal = {Journal of Computing and Information Science in Engineering},
 number = {5},
 keywords = {ADAMS,BSwarm,Swarm}
}

@article{
 title = {A finite element–guided mathematical surrogate modeling approach for assessing occupant injury trends across variations in simplified vehicular impact conditions},
 type = {article},
 year = {2021},
 websites = {https://link.springer.com/10.1007/s11517-021-02349-3},
 month = {4},
 day = {21},
 id = {43908fa9-50fa-3a8c-87b9-5ab8d15369d6},
 created = {2019-10-31T00:51:05.700Z},
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 profile_id = {0bdc2b56-796f-3d8c-b59b-624a5fa689c3},
 last_modified = {2021-04-22T17:19:16.471Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {berthelson2019head},
 patent_owner = {Ghassemi, Payam},
 private_publication = {false},
 bibtype = {article},
 author = {Berthelson, P. R. and Ghassemi, P. and Wood, J. W. and Stubblefield, G. G. and Al-Graitti, A. J. and Jones, M. D. and Horstemeyer, M. F. and Chowdhury, S. and Prabhu, R. K.},
 doi = {10.1007/s11517-021-02349-3},
 journal = {Medical & Biological Engineering & Computing},
 keywords = {ADAMS,SBO}
}

@article{
 title = {Ergonomic Impact of Multi-rotor Unmanned Aerial Vehicle Noise in Warehouse Environments},
 type = {article},
 year = {2020},
 pages = {1309-1323},
 volume = {100},
 websites = {http://link.springer.com/10.1007/s10846-020-01238-5},
 month = {12},
 publisher = {Springer Nature},
 day = {21},
 id = {d8b0fec0-9bbc-3366-a844-8d735dd9ccce},
 created = {2019-10-31T01:47:57.863Z},
 file_attached = {false},
 profile_id = {0bdc2b56-796f-3d8c-b59b-624a5fa689c3},
 last_modified = {2020-11-22T04:51:38.114Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {callanan2019uavnoise},
 patent_owner = {Ghassemi, Payam},
 private_publication = {false},
 bibtype = {article},
 author = {Callanan, Jesse and Ghassemi, Payam and DiMartino, James and Dhameliya, Maulikkumar and Stocking, Christina and Nouh, Mostafa and Chowdhury, Souma},
 doi = {10.1007/s10846-020-01238-5},
 journal = {Journal of Intelligent & Robotic Systems},
 number = {3},
 keywords = {ADAMS,UAVNoise}
}

@article{
 title = {Adaptive In Situ Model Refinement for Surrogate-augmented Population-based Optimization},
 type = {article},
 year = {2020},
 websites = {http://link.springer.com/10.1007/s00158-020-02592-6},
 month = {5},
 day = {26},
 id = {aac13dbf-f6fd-3060-aaa9-29efd776db80},
 created = {2020-05-27T09:09:21.463Z},
 file_attached = {true},
 profile_id = {0bdc2b56-796f-3d8c-b59b-624a5fa689c3},
 last_modified = {2020-07-23T07:43:24.450Z},
 read = {true},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {ghassemi2020amr},
 patent_owner = {Ghassemi, Payam},
 private_publication = {false},
 bibtype = {article},
 author = {Ghassemi, Payam and Mehmani, Ali and Chowdhury, Souma},
 doi = {10.1007/s00158-020-02592-6},
 journal = {Structural and Multidisciplinary Optimization},
 keywords = {ADAMS,Journal,ML,SBO}
}

@article{
 title = {Multi-Robot Task Allocation in Disaster Response: Addressing Dynamic Tasks with Deadlines and Robots with Capacity Constraints},
 type = {article},
 year = {2020},
 month = {12},
 publisher = {Elsevier},
 id = {9ef48b77-c68d-31cd-b19f-ad43619f17c9},
 created = {2020-06-15T16:49:10.149Z},
 file_attached = {false},
 profile_id = {0bdc2b56-796f-3d8c-b59b-624a5fa689c3},
 last_modified = {2020-07-25T07:49:59.827Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {Ghassemi2020},
 private_publication = {false},
 bibtype = {article},
 author = {Ghassemi, Payam and Chowdhury, Souma},
 journal = {Robotics and Autonomous Systems},
 number = {under review},
 keywords = {ADAMS,MRTA,Swarm}
}

@article{
 title = {Adaptive-Fidelity Design Automation Framework to Explore Bioinspired Surface Riblets for Drag Reduction},
 type = {article},
 year = {2021},
 pages = {880-892},
 volume = {59},
 websites = {https://arc.aiaa.org/doi/10.2514/1.J059613},
 month = {3},
 day = {29},
 id = {ea6a8420-0e79-3fa1-b95f-b41ba0498039},
 created = {2020-06-19T17:23:00.226Z},
 file_attached = {false},
 profile_id = {0bdc2b56-796f-3d8c-b59b-624a5fa689c3},
 last_modified = {2021-03-05T03:33:33.326Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {Lulekar2020},
 private_publication = {false},
 bibtype = {article},
 author = {Sanjay Lulekar, Sumeet and Ghassemi, Payam and Alsalih, Haidar and Chowdhury, Souma},
 doi = {10.2514/1.J059613},
 journal = {AIAA Journal},
 number = {3},
 keywords = {ADAMS,SBO}
}

@article{
 title = {A Penalized Batch-Bayesian Approach to Informative Path Planning for Decentralized Swarm Robotic Search},
 type = {article},
 year = {2020},
 publisher = {SAGE Publications},
 id = {535b306d-b3b7-30d6-9d10-0aa545ba0515},
 created = {2020-11-18T01:22:39.978Z},
 file_attached = {false},
 profile_id = {0bdc2b56-796f-3d8c-b59b-624a5fa689c3},
 last_modified = {2020-11-22T04:48:49.746Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 bibtype = {article},
 author = {Ghassemi, Payam and Balazon, Mark and Chowdhury, Souma},
 journal = {The International Journal of Robotics Research},
 number = {Under Review},
 keywords = {ADAMS,BSwarm,Swarm}
}\">\n            <i class=\"fa fa-download fa-fw\"></i> Download BibTeX\n          </a>\n        </li>\n        <li>\n          <a href=\"//bibbase.org/rss?bib=\">\n            <i class=\"fa fa-rss fa-fw\"></i> RSS Feed\n          </a>\n          </li>\n      </ul>\n      </li>\n\n      \n\n\n      \n    </ul>\n\n\n    <div class=\"alert alert-success bibbase_msg\" id=\"bibbase_msg_embed\"\n         style=\"display: none;\">\n\n      Excellent! 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In order to keep using Mendeley with BibBase past April\n        14th, you need to:\n        <ol>\n          <li>renew the authorization for BibBase on Mendeley, and</li>\n          <li>update the BibBase URL\n            in your page the same way you did when you initially set up\n            this page.\n          </li>\n        </ol>\n      </p>\n\n      <p>\n        <a href=\"http://bibbase.org/cgi-bin/mendeley2/get.py\">\n          <i class=\"fa fa-angle-double-right\"></i>\n          Fix it now</a>\n      </p>\n    </div>\n\n  </div>\n\n\n  <div id=\"bibbase_body\">\n    \n  \n  <div class=\"bibbase_group_whole\" id=\"group_2021\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2021')\"\n      onkeypress=\"toggleGroup('group_2021')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2021</span>\n      <span class=\"bibbase_group_count\">\n        \n        (2)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"berthelson-ghassemi-wood-stubblefield-algraitti-jones-horstemeyer-chowdhury-etal-afiniteelementguidedmathematicalsurrogatemodelingapproachforassessingoccupantinjurytrendsacrossvariationsinsimplifiedvehicularimpactconditions-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_author\">\n  Berthelson,  P., R.; Ghassemi,  P.; Wood,  J., W.; Stubblefield,  G., G.; Al-Graitti,  A., J.; Jones,  M., D.; Horstemeyer,  M., F.; <a class=\"bibbase author link\" href=\"https://124118259-887001909434481872.preview.editmysite.com/\">Chowdhury,  S.</a>;  and Prabhu,  R., K.\n</span>\n\n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://link.springer.com/10.1007/s11517-021-02349-3\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'berthelson-ghassemi-wood-stubblefield-algraitti-jones-horstemeyer-chowdhury-etal-afiniteelementguidedmathematicalsurrogatemodelingapproachforassessingoccupantinjurytrendsacrossvariationsinsimplifiedvehicularimpactconditions-2021', 'https://link.springer.com/10.1007/s11517-021-02349-3', event);\">\n    A finite element–guided mathematical surrogate modeling approach for assessing occupant injury trends across variations in simplified vehicular impact conditions.\n  </a>\n  \n  \n  \n</span>\n\n  \n\n</span>\n\n  <i>Medical & Biological Engineering & Computing</i>. 4 2021.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://link.springer.com/10.1007/s11517-021-02349-3\"\n     onclick=\"log_download('berthelson-ghassemi-wood-stubblefield-algraitti-jones-horstemeyer-chowdhury-etal-afiniteelementguidedmathematicalsurrogatemodelingapproachforassessingoccupantinjurytrendsacrossvariationsinsimplifiedvehicularimpactconditions-2021', 'https://link.springer.com/10.1007/s11517-021-02349-3', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"A finite element–guided mathematical surrogate modeling approach for assessing occupant injury trends across variations in simplified vehicular impact conditions [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1007/s11517-021-02349-3\"\n     onclick=\"log_download('berthelson-ghassemi-wood-stubblefield-algraitti-jones-horstemeyer-chowdhury-etal-afiniteelementguidedmathematicalsurrogatemodelingapproachforassessingoccupantinjurytrendsacrossvariationsinsimplifiedvehicularimpactconditions-2021', 'http://doi.org/10.1007/s11517-021-02349-3', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/berthelson-ghassemi-wood-stubblefield-algraitti-jones-horstemeyer-chowdhury-etal-afiniteelementguidedmathematicalsurrogatemodelingapproachforassessingoccupantinjurytrendsacrossvariationsinsimplifiedvehicularimpactconditions-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('berthelson-ghassemi-wood-stubblefield-algraitti-jones-horstemeyer-chowdhury-etal-afiniteelementguidedmathematicalsurrogatemodelingapproachforassessingoccupantinjurytrendsacrossvariationsinsimplifiedvehicularimpactconditions-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {A finite element–guided mathematical surrogate modeling approach for assessing occupant injury trends across variations in simplified vehicular impact conditions},\n type = {article},\n year = {2021},\n websites = {https://link.springer.com/10.1007/s11517-021-02349-3},\n month = {4},\n day = {21},\n id = {43908fa9-50fa-3a8c-87b9-5ab8d15369d6},\n created = {2019-10-31T00:51:05.700Z},\n file_attached = {false},\n profile_id = {0bdc2b56-796f-3d8c-b59b-624a5fa689c3},\n last_modified = {2021-04-22T17:19:16.471Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {berthelson2019head},\n patent_owner = {Ghassemi, Payam},\n private_publication = {false},\n bibtype = {article},\n author = {Berthelson, P. R. and Ghassemi, P. and Wood, J. W. and Stubblefield, G. G. and Al-Graitti, A. J. and Jones, M. D. and Horstemeyer, M. F. and Chowdhury, S. and Prabhu, R. K.},\n doi = {10.1007/s11517-021-02349-3},\n journal = {Medical &amp; Biological Engineering &amp; Computing},\n keywords = {ADAMS,SBO}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"sanjaylulekar-ghassemi-alsalih-chowdhury-adaptivefidelitydesignautomationframeworktoexplorebioinspiredsurfaceribletsfordragreduction-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_author\">\n  Sanjay Lulekar,  S.; <a class=\"bibbase author link\" href=\"https://payamghassemi.weebly.com/multi-robot-task-allocation.html\">Ghassemi,  P.</a>; Alsalih,  H.;  and <a class=\"bibbase author link\" href=\"https://124118259-887001909434481872.preview.editmysite.com/\">Chowdhury,  S.</a>\n</span>\n\n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://arc.aiaa.org/doi/10.2514/1.J059613\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'sanjaylulekar-ghassemi-alsalih-chowdhury-adaptivefidelitydesignautomationframeworktoexplorebioinspiredsurfaceribletsfordragreduction-2021', 'https://arc.aiaa.org/doi/10.2514/1.J059613', event);\">\n    Adaptive-Fidelity Design Automation Framework to Explore Bioinspired Surface Riblets for Drag Reduction.\n  </a>\n  \n  \n  \n</span>\n\n  \n\n</span>\n\n  <i>AIAA Journal</i>, 59(3): 880-892. 3 2021.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://arc.aiaa.org/doi/10.2514/1.J059613\"\n     onclick=\"log_download('sanjaylulekar-ghassemi-alsalih-chowdhury-adaptivefidelitydesignautomationframeworktoexplorebioinspiredsurfaceribletsfordragreduction-2021', 'https://arc.aiaa.org/doi/10.2514/1.J059613', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Adaptive-Fidelity Design Automation Framework to Explore Bioinspired Surface Riblets for Drag Reduction [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.2514/1.J059613\"\n     onclick=\"log_download('sanjaylulekar-ghassemi-alsalih-chowdhury-adaptivefidelitydesignautomationframeworktoexplorebioinspiredsurfaceribletsfordragreduction-2021', 'http://doi.org/10.2514/1.J059613', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/sanjaylulekar-ghassemi-alsalih-chowdhury-adaptivefidelitydesignautomationframeworktoexplorebioinspiredsurfaceribletsfordragreduction-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>2 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('sanjaylulekar-ghassemi-alsalih-chowdhury-adaptivefidelitydesignautomationframeworktoexplorebioinspiredsurfaceribletsfordragreduction-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Adaptive-Fidelity Design Automation Framework to Explore Bioinspired Surface Riblets for Drag Reduction},\n type = {article},\n year = {2021},\n pages = {880-892},\n volume = {59},\n websites = {https://arc.aiaa.org/doi/10.2514/1.J059613},\n month = {3},\n day = {29},\n id = {ea6a8420-0e79-3fa1-b95f-b41ba0498039},\n created = {2020-06-19T17:23:00.226Z},\n file_attached = {false},\n profile_id = {0bdc2b56-796f-3d8c-b59b-624a5fa689c3},\n last_modified = {2021-03-05T03:33:33.326Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Lulekar2020},\n private_publication = {false},\n bibtype = {article},\n author = {Sanjay Lulekar, Sumeet and Ghassemi, Payam and Alsalih, Haidar and Chowdhury, Souma},\n doi = {10.2514/1.J059613},\n journal = {AIAA Journal},\n number = {3},\n keywords = {ADAMS,SBO}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2020\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2020')\"\n      onkeypress=\"toggleGroup('group_2020')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2020</span>\n      <span class=\"bibbase_group_count\">\n        \n        (5)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"ghassemi-chowdhury-anextendedbayesianoptimizationapproachtodecentralizedswarmroboticsearch-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://payamghassemi.weebly.com/multi-robot-task-allocation.html\">Ghassemi,  P.</a>;  and <a class=\"bibbase author link\" href=\"https://124118259-887001909434481872.preview.editmysite.com/\">Chowdhury,  S.</a>\n</span>\n\n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://asmedigitalcollection.asme.org/computingengineering/article-abstract/doi/10.1115/1.4046587/1075826/An-Extended-Bayesian-Optimization-Approach-to?redirectedFrom=fulltext\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ghassemi-chowdhury-anextendedbayesianoptimizationapproachtodecentralizedswarmroboticsearch-2020', 'https://asmedigitalcollection.asme.org/computingengineering/article-abstract/doi/10.1115/1.4046587/1075826/An-Extended-Bayesian-Optimization-Approach-to?redirectedFrom=fulltext', event);\">\n    An Extended Bayesian Optimization Approach to Decentralized Swarm Robotic Search.\n  </a>\n  \n  \n  \n</span>\n\n  \n\n</span>\n\n  <i>Journal of Computing and Information Science in Engineering</i>, 20(5). 10 2020.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://asmedigitalcollection.asme.org/computingengineering/article-abstract/doi/10.1115/1.4046587/1075826/An-Extended-Bayesian-Optimization-Approach-to?redirectedFrom=fulltext\"\n     onclick=\"log_download('ghassemi-chowdhury-anextendedbayesianoptimizationapproachtodecentralizedswarmroboticsearch-2020', 'https://asmedigitalcollection.asme.org/computingengineering/article-abstract/doi/10.1115/1.4046587/1075826/An-Extended-Bayesian-Optimization-Approach-to?redirectedFrom=fulltext', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"An Extended Bayesian Optimization Approach to Decentralized Swarm Robotic Search [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1115/1.4046587\"\n     onclick=\"log_download('ghassemi-chowdhury-anextendedbayesianoptimizationapproachtodecentralizedswarmroboticsearch-2020', 'http://doi.org/10.1115/1.4046587', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ghassemi-chowdhury-anextendedbayesianoptimizationapproachtodecentralizedswarmroboticsearch-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ghassemi-chowdhury-anextendedbayesianoptimizationapproachtodecentralizedswarmroboticsearch-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {An Extended Bayesian Optimization Approach to Decentralized Swarm Robotic Search},\n type = {article},\n year = {2020},\n volume = {20},\n websites = {https://asmedigitalcollection.asme.org/computingengineering/article-abstract/doi/10.1115/1.4046587/1075826/An-Extended-Bayesian-Optimization-Approach-to?redirectedFrom=fulltext},\n month = {10},\n day = {1},\n id = {245dc51f-2b33-32f7-a83e-c237548a2f71},\n created = {2019-10-31T00:37:20.554Z},\n file_attached = {false},\n profile_id = {0bdc2b56-796f-3d8c-b59b-624a5fa689c3},\n last_modified = {2020-07-25T07:49:59.788Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {ghassemi2020bswarm-jcise},\n patent_owner = {Ghassemi, Payam},\n private_publication = {false},\n abstract = {Swarm robotic search aims at searching targets using a large number of collaborating simple mobile robots, with applications to search and rescue and hazard localization. In this regard, decentralized swarm systems are touted for their coverage scalability, time efficiency, and fault tolerance. To guide the behavior of such swarm systems, two broad classes of approaches are available, namely, nature-inspired swarm heuristics and multi-robotic search methods. However, the ability to simultaneously achieve efficient scalability and provide fundamental insights into the exhibited behavior (as opposed to exhibiting a black-box behavior) remains an open problem. To address this problem, this paper extends the underlying search approach in batch-Bayesian optimization to perform search with embodied swarm agents operating in a (simulated) physical 2D arena. Key contributions lie in (1) designing an acquisition function that not only balances exploration and exploitation across the swarm but also allows modeling knowledge extraction over trajectories and (2) developing its distributed implementation to allow asynchronous task inference and path planning by the swarm robots. The resulting collective informative path planning approach is tested on target-search case studies of varying complexity, where the target produces a spatially varying (measurable) signal. Notably, superior performance, in terms of mission completion efficiency, is observed compared to exhaustive search and random walk baselines as well as a swarm optimization-based state-of-the-art method. Favorable scalability characteristics are also demonstrated.},\n bibtype = {article},\n author = {Ghassemi, Payam and Chowdhury, Souma},\n doi = {10.1115/1.4046587},\n journal = {Journal of Computing and Information Science in Engineering},\n number = {5},\n keywords = {ADAMS,BSwarm,Swarm}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Swarm robotic search aims at searching targets using a large number of collaborating simple mobile robots, with applications to search and rescue and hazard localization. In this regard, decentralized swarm systems are touted for their coverage scalability, time efficiency, and fault tolerance. To guide the behavior of such swarm systems, two broad classes of approaches are available, namely, nature-inspired swarm heuristics and multi-robotic search methods. However, the ability to simultaneously achieve efficient scalability and provide fundamental insights into the exhibited behavior (as opposed to exhibiting a black-box behavior) remains an open problem. To address this problem, this paper extends the underlying search approach in batch-Bayesian optimization to perform search with embodied swarm agents operating in a (simulated) physical 2D arena. Key contributions lie in (1) designing an acquisition function that not only balances exploration and exploitation across the swarm but also allows modeling knowledge extraction over trajectories and (2) developing its distributed implementation to allow asynchronous task inference and path planning by the swarm robots. The resulting collective informative path planning approach is tested on target-search case studies of varying complexity, where the target produces a spatially varying (measurable) signal. Notably, superior performance, in terms of mission completion efficiency, is observed compared to exhaustive search and random walk baselines as well as a swarm optimization-based state-of-the-art method. Favorable scalability characteristics are also demonstrated.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"callanan-ghassemi-dimartino-dhameliya-stocking-nouh-chowdhury-ergonomicimpactofmultirotorunmannedaerialvehiclenoiseinwarehouseenvironments-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_author\">\n  Callanan,  J.; <a class=\"bibbase author link\" href=\"https://payamghassemi.weebly.com/multi-robot-task-allocation.html\">Ghassemi,  P.</a>; DiMartino,  J.; Dhameliya,  M.; Stocking,  C.; Nouh,  M.;  and <a class=\"bibbase author link\" href=\"https://124118259-887001909434481872.preview.editmysite.com/\">Chowdhury,  S.</a>\n</span>\n\n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://link.springer.com/10.1007/s10846-020-01238-5\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'callanan-ghassemi-dimartino-dhameliya-stocking-nouh-chowdhury-ergonomicimpactofmultirotorunmannedaerialvehiclenoiseinwarehouseenvironments-2020', 'http://link.springer.com/10.1007/s10846-020-01238-5', event);\">\n    Ergonomic Impact of Multi-rotor Unmanned Aerial Vehicle Noise in Warehouse Environments.\n  </a>\n  \n  \n  \n</span>\n\n  \n\n</span>\n\n  <i>Journal of Intelligent & Robotic Systems</i>, 100(3): 1309-1323. 12 2020.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://link.springer.com/10.1007/s10846-020-01238-5\"\n     onclick=\"log_download('callanan-ghassemi-dimartino-dhameliya-stocking-nouh-chowdhury-ergonomicimpactofmultirotorunmannedaerialvehiclenoiseinwarehouseenvironments-2020', 'http://link.springer.com/10.1007/s10846-020-01238-5', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Ergonomic Impact of Multi-rotor Unmanned Aerial Vehicle Noise in Warehouse Environments [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1007/s10846-020-01238-5\"\n     onclick=\"log_download('callanan-ghassemi-dimartino-dhameliya-stocking-nouh-chowdhury-ergonomicimpactofmultirotorunmannedaerialvehiclenoiseinwarehouseenvironments-2020', 'http://doi.org/10.1007/s10846-020-01238-5', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/callanan-ghassemi-dimartino-dhameliya-stocking-nouh-chowdhury-ergonomicimpactofmultirotorunmannedaerialvehiclenoiseinwarehouseenvironments-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>2 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('callanan-ghassemi-dimartino-dhameliya-stocking-nouh-chowdhury-ergonomicimpactofmultirotorunmannedaerialvehiclenoiseinwarehouseenvironments-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Ergonomic Impact of Multi-rotor Unmanned Aerial Vehicle Noise in Warehouse Environments},\n type = {article},\n year = {2020},\n pages = {1309-1323},\n volume = {100},\n websites = {http://link.springer.com/10.1007/s10846-020-01238-5},\n month = {12},\n publisher = {Springer Nature},\n day = {21},\n id = {d8b0fec0-9bbc-3366-a844-8d735dd9ccce},\n created = {2019-10-31T01:47:57.863Z},\n file_attached = {false},\n profile_id = {0bdc2b56-796f-3d8c-b59b-624a5fa689c3},\n last_modified = {2020-11-22T04:51:38.114Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {callanan2019uavnoise},\n patent_owner = {Ghassemi, Payam},\n private_publication = {false},\n bibtype = {article},\n author = {Callanan, Jesse and Ghassemi, Payam and DiMartino, James and Dhameliya, Maulikkumar and Stocking, Christina and Nouh, Mostafa and Chowdhury, Souma},\n doi = {10.1007/s10846-020-01238-5},\n journal = {Journal of Intelligent &amp; Robotic Systems},\n number = {3},\n keywords = {ADAMS,UAVNoise}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ghassemi-mehmani-chowdhury-adaptiveinsitumodelrefinementforsurrogateaugmentedpopulationbasedoptimization-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://payamghassemi.weebly.com/multi-robot-task-allocation.html\">Ghassemi,  P.</a>; Mehmani,  A.;  and <a class=\"bibbase author link\" href=\"https://124118259-887001909434481872.preview.editmysite.com/\">Chowdhury,  S.</a>\n</span>\n\n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://bibbase.org/service/mendeley/0bdc2b56-796f-3d8c-b59b-624a5fa689c3/file/42ce25e8-fda1-fc8b-58d1-2eb0ab053fbe/ghassemi2020amr_pub.pdf.pdf\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ghassemi-mehmani-chowdhury-adaptiveinsitumodelrefinementforsurrogateaugmentedpopulationbasedoptimization-2020', 'https://bibbase.org/service/mendeley/0bdc2b56-796f-3d8c-b59b-624a5fa689c3/file/42ce25e8-fda1-fc8b-58d1-2eb0ab053fbe/ghassemi2020amr_pub.pdf.pdf', event);\">\n    Adaptive In Situ Model Refinement for Surrogate-augmented Population-based Optimization.\n  </a>\n  \n  \n  \n</span>\n\n  \n\n</span>\n\n  <i>Structural and Multidisciplinary Optimization</i>. 5 2020.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://bibbase.org/service/mendeley/0bdc2b56-796f-3d8c-b59b-624a5fa689c3/file/42ce25e8-fda1-fc8b-58d1-2eb0ab053fbe/ghassemi2020amr_pub.pdf.pdf\"\n     onclick=\"log_download('ghassemi-mehmani-chowdhury-adaptiveinsitumodelrefinementforsurrogateaugmentedpopulationbasedoptimization-2020', 'https://bibbase.org/service/mendeley/0bdc2b56-796f-3d8c-b59b-624a5fa689c3/file/42ce25e8-fda1-fc8b-58d1-2eb0ab053fbe/ghassemi2020amr_pub.pdf.pdf', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/pdf.svg\"\n\t     alt=\"Adaptive In Situ Model Refinement for Surrogate-augmented Population-based Optimization [pdf]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n  <a href=\"http://link.springer.com/10.1007/s00158-020-02592-6\"\n     onclick=\"log_download('ghassemi-mehmani-chowdhury-adaptiveinsitumodelrefinementforsurrogateaugmentedpopulationbasedoptimization-2020', 'http://link.springer.com/10.1007/s00158-020-02592-6', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Adaptive In Situ Model Refinement for Surrogate-augmented Population-based Optimization [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1007/s00158-020-02592-6\"\n     onclick=\"log_download('ghassemi-mehmani-chowdhury-adaptiveinsitumodelrefinementforsurrogateaugmentedpopulationbasedoptimization-2020', 'http://doi.org/10.1007/s00158-020-02592-6', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ghassemi-mehmani-chowdhury-adaptiveinsitumodelrefinementforsurrogateaugmentedpopulationbasedoptimization-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>2 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ghassemi-mehmani-chowdhury-adaptiveinsitumodelrefinementforsurrogateaugmentedpopulationbasedoptimization-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Adaptive In Situ Model Refinement for Surrogate-augmented Population-based Optimization},\n type = {article},\n year = {2020},\n websites = {http://link.springer.com/10.1007/s00158-020-02592-6},\n month = {5},\n day = {26},\n id = {aac13dbf-f6fd-3060-aaa9-29efd776db80},\n created = {2020-05-27T09:09:21.463Z},\n file_attached = {true},\n profile_id = {0bdc2b56-796f-3d8c-b59b-624a5fa689c3},\n last_modified = {2020-07-23T07:43:24.450Z},\n read = {true},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {ghassemi2020amr},\n patent_owner = {Ghassemi, Payam},\n private_publication = {false},\n bibtype = {article},\n author = {Ghassemi, Payam and Mehmani, Ali and Chowdhury, Souma},\n doi = {10.1007/s00158-020-02592-6},\n journal = {Structural and Multidisciplinary Optimization},\n keywords = {ADAMS,Journal,ML,SBO}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ghassemi-chowdhury-multirobottaskallocationindisasterresponseaddressingdynamictaskswithdeadlinesandrobotswithcapacityconstraints-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://payamghassemi.weebly.com/multi-robot-task-allocation.html\">Ghassemi,  P.</a>;  and <a class=\"bibbase author link\" href=\"https://124118259-887001909434481872.preview.editmysite.com/\">Chowdhury,  S.</a>\n</span>\n\n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Multi-Robot Task Allocation in Disaster Response: Addressing Dynamic Tasks with Deadlines and Robots with Capacity Constraints.\n  \n  \n  \n</span>\n\n  \n\n</span>\n\n  <i>Robotics and Autonomous Systems</i>, (under review). 12 2020.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ghassemi-chowdhury-multirobottaskallocationindisasterresponseaddressingdynamictaskswithdeadlinesandrobotswithcapacityconstraints-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ghassemi-chowdhury-multirobottaskallocationindisasterresponseaddressingdynamictaskswithdeadlinesandrobotswithcapacityconstraints-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Multi-Robot Task Allocation in Disaster Response: Addressing Dynamic Tasks with Deadlines and Robots with Capacity Constraints},\n type = {article},\n year = {2020},\n month = {12},\n publisher = {Elsevier},\n id = {9ef48b77-c68d-31cd-b19f-ad43619f17c9},\n created = {2020-06-15T16:49:10.149Z},\n file_attached = {false},\n profile_id = {0bdc2b56-796f-3d8c-b59b-624a5fa689c3},\n last_modified = {2020-07-25T07:49:59.827Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Ghassemi2020},\n private_publication = {false},\n bibtype = {article},\n author = {Ghassemi, Payam and Chowdhury, Souma},\n journal = {Robotics and Autonomous Systems},\n number = {under review},\n keywords = {ADAMS,MRTA,Swarm}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ghassemi-balazon-chowdhury-apenalizedbatchbayesianapproachtoinformativepathplanningfordecentralizedswarmroboticsearch-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://payamghassemi.weebly.com/multi-robot-task-allocation.html\">Ghassemi,  P.</a>; Balazon,  M.;  and <a class=\"bibbase author link\" href=\"https://124118259-887001909434481872.preview.editmysite.com/\">Chowdhury,  S.</a>\n</span>\n\n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  A Penalized Batch-Bayesian Approach to Informative Path Planning for Decentralized Swarm Robotic Search.\n  \n  \n  \n</span>\n\n  \n\n</span>\n\n  <i>The International Journal of Robotics Research</i>, (Under Review).  2020.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ghassemi-balazon-chowdhury-apenalizedbatchbayesianapproachtoinformativepathplanningfordecentralizedswarmroboticsearch-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ghassemi-balazon-chowdhury-apenalizedbatchbayesianapproachtoinformativepathplanningfordecentralizedswarmroboticsearch-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {A Penalized Batch-Bayesian Approach to Informative Path Planning for Decentralized Swarm Robotic Search},\n type = {article},\n year = {2020},\n publisher = {SAGE Publications},\n id = {535b306d-b3b7-30d6-9d10-0aa545ba0515},\n created = {2020-11-18T01:22:39.978Z},\n file_attached = {false},\n profile_id = {0bdc2b56-796f-3d8c-b59b-624a5fa689c3},\n last_modified = {2020-11-22T04:48:49.746Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n bibtype = {article},\n author = {Ghassemi, Payam and Balazon, Mark and Chowdhury, Souma},\n journal = {The International Journal of Robotics Research},\n number = {Under Review},\n keywords = {ADAMS,BSwarm,Swarm}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2018\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2018')\"\n      onkeypress=\"toggleGroup('group_2018')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2018</span>\n      <span class=\"bibbase_group_count\">\n        \n        (1)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"hernndezrivera-chowdhury-coleman-ghassemi-tschopp-integratingexploratorydataanalyticsintoreaxffparameterization-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_author\">\n  Hernández-Rivera,  E.; <a class=\"bibbase author link\" href=\"https://124118259-887001909434481872.preview.editmysite.com/\">Chowdhury,  S.</a>; Coleman,  S., P.; <a class=\"bibbase author link\" href=\"https://payamghassemi.weebly.com/multi-robot-task-allocation.html\">Ghassemi,  P.</a>;  and Tschopp,  M., A.\n</span>\n\n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.cambridge.org/core/product/identifier/S2159685918001556/type/journal_article\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'hernndezrivera-chowdhury-coleman-ghassemi-tschopp-integratingexploratorydataanalyticsintoreaxffparameterization-2018', 'https://www.cambridge.org/core/product/identifier/S2159685918001556/type/journal_article', event);\">\n    Integrating Exploratory Data Analytics into ReaxFF Parameterization.\n  </a>\n  \n  \n  \n</span>\n\n  \n\n</span>\n\n  <i>MRS Communications</i>, 8(03): 1300-1310. 9 2018.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.cambridge.org/core/product/identifier/S2159685918001556/type/journal_article\"\n     onclick=\"log_download('hernndezrivera-chowdhury-coleman-ghassemi-tschopp-integratingexploratorydataanalyticsintoreaxffparameterization-2018', 'https://www.cambridge.org/core/product/identifier/S2159685918001556/type/journal_article', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Integrating Exploratory Data Analytics into ReaxFF Parameterization [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1557/mrc.2018.155\"\n     onclick=\"log_download('hernndezrivera-chowdhury-coleman-ghassemi-tschopp-integratingexploratorydataanalyticsintoreaxffparameterization-2018', 'http://doi.org/10.1557/mrc.2018.155', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/hernndezrivera-chowdhury-coleman-ghassemi-tschopp-integratingexploratorydataanalyticsintoreaxffparameterization-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('hernndezrivera-chowdhury-coleman-ghassemi-tschopp-integratingexploratorydataanalyticsintoreaxffparameterization-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Integrating Exploratory Data Analytics into ReaxFF Parameterization},\n type = {article},\n year = {2018},\n pages = {1300-1310},\n volume = {8},\n websites = {https://www.cambridge.org/core/product/identifier/S2159685918001556/type/journal_article},\n month = {9},\n day = {18},\n id = {41741ef3-ea42-36c3-b9f2-1d4ef12f282f},\n created = {2019-07-08T20:56:48.639Z},\n accessed = {2019-07-08},\n file_attached = {false},\n profile_id = {0bdc2b56-796f-3d8c-b59b-624a5fa689c3},\n last_modified = {2020-07-10T06:28:05.925Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {hernandez2018integrating},\n patent_owner = {Ghassemi, Payam},\n private_publication = {false},\n abstract = {We present a systematic approach to refine hyperdimensional interatomic potentials, which is showcased on the ReaxFF formulation. The objective of this research is to utilize the relationship between interatomic potential input variables and objective responses (e.g., cohesive energy) to identify and explore suitable parameterizations for the boron carbide (B–C) system. Through statistical data analytics, ReaxFF&#x27;s parametric complexity was overcome via dimensional reduction (55 parameters) while retaining enough degrees of freedom to capture most of the variability in responses. Two potentials were identified which improved on an existing parameterization for the objective set if interest, showcasing the framework&#x27;s capabilities.},\n bibtype = {article},\n author = {Hernández-Rivera, Efraín and Chowdhury, Souma and Coleman, Shawn P. and Ghassemi, Payam and Tschopp, Mark A.},\n doi = {10.1557/mrc.2018.155},\n journal = {MRS Communications},\n number = {03},\n keywords = {ADAMS,SBO}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  We present a systematic approach to refine hyperdimensional interatomic potentials, which is showcased on the ReaxFF formulation. The objective of this research is to utilize the relationship between interatomic potential input variables and objective responses (e.g., cohesive energy) to identify and explore suitable parameterizations for the boron carbide (B–C) system. Through statistical data analytics, ReaxFF's parametric complexity was overcome via dimensional reduction (55 parameters) while retaining enough degrees of freedom to capture most of the variability in responses. Two potentials were identified which improved on an existing parameterization for the objective set if interest, showcasing the framework's capabilities.\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n\n\n\n  </div>\n\n\n  <!-- Modal -->\n\n  <!-- <iframe id=\"bibbase_network_frame\" -->\n  <!--         src=\"//bibbase.org/network/control\" -->\n  <!--         style=\"display: none;\"> -->\n  <!-- </iframe> -->\n\n</div>\n"}; document.write(bibbase_data.data);