

{"id":23,"date":"2018-09-06T14:35:50","date_gmt":"2018-09-06T18:35:50","guid":{"rendered":"https:\/\/sites.temple.edu\/dslab\/?page_id=23"},"modified":"2026-03-31T14:52:37","modified_gmt":"2026-03-31T18:52:37","slug":"publications","status":"publish","type":"page","link":"https:\/\/sites.temple.edu\/dslab\/?page_id=23","title":{"rendered":"Publications"},"content":{"rendered":"<p><u><strong>Recent DSLab\u00a0Team Publications<\/strong><\/u><\/p>\n<ol>\n<li>Keshavarzi, M., Ahmadzadeh, O., L&#8217;Eplattenier, P., Caldichoury, I., Soudbakhsh, D., Sahraei, E., A framework for temperature-dependent mechanical modeling of lithium-ion cells, J. Energy Storage (in press), 2026.<\/li>\n<li>Taheriyoun, A.R., Ross, A., Safikhani, A., Soudbakhsh, D., and Rahnavard, A. \u201cLongitudinal Omics Data Analysis: Approaches and Applications.\u201d Computational and Structural Biotechnology Journal 31 (January 2026): 301\u201315. <a href=\"https:\/\/doi.org\/10.1016\/j.csbj.2026.01.001\">https:\/\/doi.org\/10.1016\/j.csbj.2026.01.001<\/a>.<\/li>\n<li>Ahmadzadeh, O., Rodriguez, R., Kim, G., &amp; Soudbakhsh, D. \u201cBootstrap-Based Sparse Modeling for Temperature-Dependent State-of-Charge Prediction of Batteries.\u201d ASME Letters in Dynamic Systems and Control 6, no. 2 (2026): 021009. <a href=\"https:\/\/doi.org\/10.1115\/1.4070401\">https:\/\/doi.org\/10.1115\/1.4070401<\/a>.<\/li>\n<li>Ahmadzadeh, O., Rodriguez, R., Getz, J., Panneerselvam, S., &amp; Soudbakhsh, D. (2025). The impact of lightweighting and battery technologies on the sustainability of electric vehicles: A comprehensive life cycle assessment.\u00a0<em>Environmental Impact Assessment Review<\/em>,\u00a0<em>110<\/em>, 107668.\u00a0<a href=\"https:\/\/doi.org\/10.1016\/j.eiar.2024.107668\">https:\/\/doi.org\/10.1016\/j.eiar.2024.107668<\/a><\/li>\n<li>Rodriguez, R., Wang, Y., &amp; Soudbakhsh, D. (2024, June). Fast Charging of Li-ion Batteries via Learning and Optimization. In\u00a0<i>2024 European Control Conference (ECC)<\/i> (pp. 3715-3720). IEEE. <a href=\"https:\/\/doi.org\/10.23919\/ECC64448.2024.10591042\">https:\/\/doi.org\/10.23919\/ECC64448.2024.10591042<\/a><\/li>\n<li>Ahmadzadeh, O., Tewari, D., Jeevarajan, J., &amp; Soudbakhsh, D. (2024, July). Real-Time Internal Short Circuit Detection in Li-ion Battery Modules During Field Use. In\u00a0<i>2024 American Control Conference (ACC)<\/i> (pp. 3480-3485). IEEE. <a href=\"https:\/\/doi.org\/10.23919\/ACC60939.2024.10644527\" target=\"_blank\" rel=\"noreferrer noopener\">10.23919\/ACC60939.2024.10644527<\/a><\/li>\n<li>Ahmadzadeh, O., Wang, Y., &amp; Soudbakhsh, D. (2024). A data-driven framework for learning governing equations of Li-ion batteries and co-estimating voltage and state-of-charge. <em>Journal of Energy Storage<\/em>, <a href=\"https:\/\/doi.org\/10.1016\/j.est.2024.110743\">https:\/\/doi.org\/10.1016\/j.est.2024.110743<\/a><\/li>\n<li><a href=\"https:\/\/sites.temple.edu\/dslab\/?p=715\">Rodriguez, R.<\/a>, Ahmadzadeh, O., Wang, Y., &amp; Soudbakhsh, D. &#8220;Data-Driven Discovery of Lithium-Ion Battery State of Charge Dynamics.&#8221; ASME. <em>J. Dyn. Sys., Meas., Control<\/em>. January 2024; 146(1): 011101. <a href=\"https:\/\/doi.org\/10.1115\/1.4064026\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1115\/1.4064026<\/a>.<\/li>\n<li>\n<div class=\"csl-bib-body\">\n<div class=\"csl-entry\">\n<div class=\"csl-right-inline\">Lukyanenko, A. and Soudbakhsh, D., \u201cProbabilistic motion planning for non-Euclidean and multi-vehicle problems,\u201d <i>Robotics and Autonomous Systems<\/i>, vol. 168, p. 104487, Oct. 2023, doi: <a href=\"https:\/\/doi.org\/10.1016\/j.robot.2023.104487\">10.1016\/j.robot.2023.104487<\/a>.<\/div>\n<\/div>\n<\/div>\n<\/li>\n<li>Soudbakhsh<i>, D., Annaswamy, A.M., Wang, Y., Brunton, S.L., Gaudio, J., Hussain, H., Vrabie, D., Drgona, J., Filev, D.,<\/i> &#8220;Data-Driven Control: Theory and Applications,&#8221; <em>2023 American Control Conference (ACC)<\/em>, San Diego, CA, USA, 2023, pp. 1922-1939, doi: <a href=\"https:\/\/doi.org\/10.23919\/ACC55779.2023.10156081\" target=\"_blank\" rel=\"noopener\">10.23919\/ACC55779.2023.10156081<\/a>.<\/li>\n<li><a href=\"https:\/\/sites.temple.edu\/dslab\/?p=715\">Rodriguez, R.<\/a>, Ahmadzadeh, O., Wang, Y., &amp; Soudbakhsh, D. (2023, May). Discovering governing equations of Li-ion batteries pertaining to the state of charge using input-output data. In 2023 American Control Conference (ACC) (pp. 3081-3086). IEEE, <a href=\"https:\/\/doi.org\/10.23919\/ACC55779.2023.10156114\">https:\/\/doi.org\/10.23919\/ACC55779.2023.10156114<\/a>.<\/li>\n<li>Ahmadzadeh, O., Wang, Y., and Soudbakhsh, D., \u201cSparse Modeling of Energy Storage Systems in the Presence of Noise,\u201d <i>IFAC-PapersOnLine<\/i>,\u00a0<i>56<\/i>(2), 3764-3769, <a href=\"https:\/\/doi.org\/10.1016\/j.ifacol.2023.10.1546\">https:\/\/doi.org\/10.1016\/j.ifacol.2023.10.1546<\/a><\/li>\n<li>Ahmadzadeh, O., <a href=\"https:\/\/sites.temple.edu\/dslab\/?p=715\">Rodriguez, R.<\/a>, Wang, Y., &amp; Soudbakhsh, D. (2023, May). A physics-inspired machine learning nonlinear model of Li-ion batteries. In 2023 American Control Conference (ACC) (pp. 3087-3092). IEEE, <a href=\"https:\/\/doi.org\/10.23919\/ACC55779.2023.10156368\">https:\/\/doi.org\/10.23919\/ACC55779.2023.10156368<\/a>.<\/li>\n<li><a href=\"https:\/\/sites.temple.edu\/dslab\/?p=715\">Rodriguez, R.<\/a>, Wang, Y., Ozanne, J., Morrow, J., Sumer, D., Filev, D., and Soudbakhsh, D. &#8220;Adaptive Learning and Optimization of High-Speed Sailing Maneuvers for America&#8217;s Cup.&#8221; ASME. <em>J. Dyn. Sys., Meas., Control<\/em>. February 2023; 145(2): 021005. <a href=\"https:\/\/doi.org\/10.1115\/1.4056107\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1115\/1.4056107<\/a>.<\/li>\n<li>Derakhshan, M., Sahraei, E., and Soudbakhsh, D. &#8220;Detecting mechanical indentation from the time constants of Li-ion batteries, Cell Reports Physical Science, Volume 3, Issue 11, 2022, 101102, ISSN 2666-3864, <a title=\"Persistent link using digital object identifier\" href=\"https:\/\/doi.org\/10.1016\/j.xcrp.2022.101102\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"Persistent link using digital object identifier\">https:\/\/doi.org\/10.1016\/j.xcrp.2022.101102<\/a>.<\/li>\n<li>Ahmadzadeh, O., <a href=\"https:\/\/sites.temple.edu\/dslab\/?p=715\">Rodriguez, R.<\/a>, and Soudbakhsh, D. \u201cModelling of Li-ion Batteries for Real-Time Analysis: A Data-Driven Approach,\u201d American Control Conference, 2022, <a href=\"https:\/\/doi.org\/10.23919\/ACC53348.2022.9867616\">https:\/\/doi.org\/10.23919\/ACC53348.2022.9867616<\/a>.<\/li>\n<li><a href=\"https:\/\/sites.temple.edu\/dslab\/?p=715\">Rodriguez, R.<\/a>, Wang, Y., Ozanne, J., Sumer, D., Filev, D., &amp; Soudbakhsh, D. (2022). Adaptive Takeoff Maneuver Optimization of a Sailing Boat for America\u2019s Cup. <i>Journal of Sailing Technology<\/i>,\u00a0<i>7<\/i>(01), 88-103, <a href=\"https:\/\/doi.org\/10.5957\/jst\/2022.7.4.88\">https:\/\/doi.org\/10.5957\/jst\/2022.7.4.88<\/a>.<\/li>\n<li>Derakhshan, M., and Soudbakhsh, D. &#8220;Temperature-Dependent Time Constants of Li-ion Batteries,&#8221; in <em>IEEE Control Systems Letters<\/em>, vol. 6, pp. 2012-2017, 2022, doi: <a href=\"https:\/\/ieeexplore.ieee.org\/document\/9662056\">10.1109\/LCSYS.2021.3138036<\/a>.<\/li>\n<li><a href=\"https:\/\/sites.temple.edu\/dslab\/?p=715\">Rodriguez, R.<\/a>, Wang, Y., Ozanne, J., Sumer, D., Filev, D., &amp; Soudbakhsh, D. (2022). Adaptive Learning for Maximum Takeoff Efficiency of High-Speed Sailboats. <i>IFAC-PapersOnLine<\/i>,\u00a0<i>55<\/i>(12), 402-407, <a href=\"https:\/\/doi.org\/10.1016\/j.ifacol.2022.07.345\">https:\/\/doi.org\/10.1016\/j.ifacol.2022.07.345<\/a>.<\/li>\n<li>Lukyanenko, A., and Soudbakhsh, D. \u201cSampling-Based Multi-Agent Choreography Planning: A Metric Space Approach,\u201d 2021, arXiv: 2108.03191 [cs.RO].<\/li>\n<li>Keshavarzi, M., Derakhshan, D., Gilaki ,M., L&#8217;Eplattenier, P., Caldichoury, I., Soudbakhsh, D., and Sahraei, E., &#8220;Coupled Electrochemical-Mechanical Modeling of Lithium-Ion Batteries Using Distributed Randle Circuit Model,&#8221; <em>2021 International Conference on Electrical, Computer and Energy Technologies (ICECET)<\/em>, 2021, pp. 1-6, doi: <a href=\"https:\/\/ieeexplore.ieee.org\/document\/9698796\">10.1109\/ICECET52533.2021.9698796<\/a>.<\/li>\n<li>Derakhshan, M., Gilaki, M., Stacy, A., Sahraei, E., and Soudbakhsh, D. (January 22, 2021). &#8220;Bending Detection of Li-Ion Pouch Cells Using Impedance Spectra.&#8221; ASME. <em>Letters Dyn. Sys. Control<\/em>. July 2021; 1(3): 031005. doi<a href=\"https:\/\/asmedigitalcollection.asme.org\/lettersdynsys\/article\/1\/3\/031005\/1094059\/Bending-Detection-of-Li-Ion-Pouch-Cells-Using\"> 10.1115\/1.4049527<\/a>.<\/li>\n<li>Lukyanenko, A., Camphire, H., Austin, A., Schmidgall, S., and Soudbakhsh, D.&#8221;Optimal Localized Trajectory Planning of Multiple Non-holonomic Vehicles,&#8221; <em>2021 IEEE Conference on Control Technology and Applications (CCTA)<\/em>, 2021, pp. 820-825, doi: 10.1109\/CCTA48906.2021.9658995.<\/li>\n<li><a href=\"https:\/\/sites.temple.edu\/dslab\/?p=715\">Rodriguez, R.<\/a> (2021).<i> Optimal Control Of The AC75 Sailboat For The America&#8217;s Cup Race (Master&#8217;s Thesis, Temple University Libraries), http:\/\/dx.doi.org\/10.34944\/dspace\/7177.<\/i><\/li>\n<li>Soudbakhsh, D.; Gilaki, M.; Lynch, W.; Zhang, P.; Choi, T.; Sahraei, E. Electrical Response of Mechanically Damaged Lithium-Ion Batteries. <em>Energies<\/em> 2020, <em>13<\/em>, 4284. doi: 10.3390\/en13174284.<\/li>\n<li>Stacy, A., Gilaki, M., Sahraei, E., and Soudbakhsh, D.&#8221;Investigating the Effects of Mechanical Damage on Electrical Response of Li-Ion Pouch Cells,&#8221; <em>2020 American Control Conference (ACC)<\/em>, 2020, pp. 242-247, doi: 10.23919\/ACC45564.2020.9147883.<\/li>\n<li><a href=\"https:\/\/sites.temple.edu\/dslab\/?p=715\">Rodriguez, R.<\/a>, &amp; Soudbakhsh, D. (2019, October). Modeling and predictive control of an unmanned underwater vehicle. In <i>Dynamic Systems and Control Conference<\/i> (Vol. 59162, p. V003T21A009). American Society of Mechanical Engineers, https:\/\/doi.org\/10.1115\/DSCC2019-9154.<\/li>\n<li>Sahraei, E., Gilaki, M., Lynch, W., Kirtley, J., and Soudbakhsh, D. &#8220;Cycling Results of Mechanically Damaged Li-Ion Batteries,&#8221; <em>2019 IEEE Electric Ship Technologies Symposium (ESTS)<\/em>, 2019, pp. 226-230, doi: 10.1109\/ESTS.2019.8847923.<\/li>\n<li>Soudbakhsh, Damoon; Annaswamy, Anuradha; Voit, Harald: &#8220;Adaptation in network control systems with hierarchical scheduling,&#8221; IET Control Theory &amp;amp; Applications, 2019, 13, (17), p. 2775-2782, <a href=\"https:\/\/doi.org\/10.1049\/iet-cta.2018.6121\">doi: 10.1049\/iet-cta.2018.6121<\/a>.<\/li>\n<li>Soudbakhsh D., Phan L.X, Annaswamy A.M., and Sokolsky O., &#8220;Co-Design of Arbitrated Network Control Systems With Overrun Strategies,&#8221; in <em>IEEE Transactions on Control of Network Systems<\/em>, vol. 5, no. 1, pp. 128-141, March 2018, doi: 10.1109\/TCNS.2016.2583064.<\/li>\n<li>Soudbakhsh D., Chakrabortty A., Annaswamy A.M., &#8220;A delay-aware cyber-physical architecture for wide-area control of power systems,&#8221; Control Engineering Practice, Volume 60, 2017, Pages 171-182, doi: 10.1016\/j.conengprac.2016.12.012.<\/li>\n<li>Soudbakhsh, D., Annaswamy, A.M., &#8220;Health monitoring with matrix regressor-based adaptive observers,&#8221; <em>2017 IEEE 56th Annual Conference on Decision and Control (CDC)<\/em>, 2017, pp. 5131-5136, doi: 10.1109\/CDC.2017.8264419.<\/li>\n<li>Soudbakhsh, D, &amp; Annaswamy, AM. &#8220;Prognostics and Health Monitoring of Electro-Hydraulic Systems.&#8221; <em>Proceedings of the ASME 2017 Dynamic Systems and Control Conference<\/em>. Tysons, Virginia, USA. October 11\u201313, 2017. V002T19A005. doi: 10.1115\/DSCC2017-5392<\/li>\n<li>Dibaji, S.M., Yildiz, Y., Annaswamy, A.M., Chakrabortty, A., Soudbakhsh, D., \u201cDelay-Aware Control Designs of Wide-Area Power Networks&#8221;, IFAC-PapersOnLine, Volume 50, Issue 1, 2017, Pages 79-84, doi: 10.1016\/j.ifacol.2017.08.014.<\/li>\n<\/ol>\n<p><u><strong>Talks and Tutorials<\/strong><\/u><\/p>\n<ol>\n<li>Soudbakhsh, D., Wang, Y., Data-Driven Modeling and Control of Battery Energy Storage Systems, Automotive Controls Talks, IEEE TC on Automotive Controls, 1\/2026.<\/li>\n<li>Soudbakhsh, D., Sahraei, E., and Derakhshan, M. \u201cUsing Time Constants of Batteries for Health and Safety Monitoring.\u201d Electrochemical Society Meeting, 2025.<\/li>\n<li>Rodriguez, R., Ahmadzadeh, O., and Soudbakhsh, D. \u201cLearning-Based Fast Charging of Li-Ion Batteries.\u201d Electrochemical Society Meeting Prime 2024.<\/li>\n<li>Soudbakhsh, D., Annaswamy, A.M., Wang, Y., Brunton, S.L., Gaudio, J., Hussain, H., Vrabie, D., Drgona, J., Filev, D., \u201cData-Driven Control: Theory and Applications,\u201d Tutorial paper, ACC\u20192023, p. 18, 2023.<\/li>\n<li>Soudbakhsh, D., &#8220;Evaluating the Safety of Li-ion Batteries Using their Distributed Time Constants: Theory and Experiments,&#8221; SAE World Congress, Detroit, MI, April 2023.<\/li>\n<li><!-- [if gte mso 9]&gt;-->Soudbakhsh, D., Annaswamy A.M., &#8220;Overun Strategies for Network Control Systems,&#8221; IMECE 2017, Tampa, FL.<\/li>\n<li>\u201cAdaptation in Cyber-Physical Systems,\u201d The Eighteenth Yale Workshop on Adaptive and Learning Systems, Yale University, New Haven, Connecticut, June 21-23, 2017.<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Recent DSLab\u00a0Team Publications Keshavarzi, M., Ahmadzadeh, O., L&#8217;Eplattenier, P., Caldichoury, I., Soudbakhsh, D., Sahraei, E., A framework for temperature-dependent mechanical modeling of lithium-ion cells, J. Energy Storage (in press), 2026. Taheriyoun, A.R., Ross, A., Safikhani, A., Soudbakhsh, D., and Rahnavard, A. \u201cLongitudinal Omics Data Analysis: Approaches and Applications.\u201d Computational and Structural Biotechnology Journal 31 (January &hellip; <a href=\"https:\/\/sites.temple.edu\/dslab\/?page_id=23\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">Publications<\/span> <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":15647,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_themeisle_gutenberg_block_has_review":false,"footnotes":""},"class_list":["post-23","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sites.temple.edu\/dslab\/index.php?rest_route=\/wp\/v2\/pages\/23","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.temple.edu\/dslab\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.temple.edu\/dslab\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.temple.edu\/dslab\/index.php?rest_route=\/wp\/v2\/users\/15647"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.temple.edu\/dslab\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=23"}],"version-history":[{"count":42,"href":"https:\/\/sites.temple.edu\/dslab\/index.php?rest_route=\/wp\/v2\/pages\/23\/revisions"}],"predecessor-version":[{"id":1165,"href":"https:\/\/sites.temple.edu\/dslab\/index.php?rest_route=\/wp\/v2\/pages\/23\/revisions\/1165"}],"wp:attachment":[{"href":"https:\/\/sites.temple.edu\/dslab\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=23"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}