{"id":40002,"date":"2023-12-04T07:33:13","date_gmt":"2023-12-04T12:33:13","guid":{"rendered":"https:\/\/www.bu.edu\/cise\/?page_id=40002"},"modified":"2024-02-18T13:24:43","modified_gmt":"2024-02-18T18:24:43","slug":"cise-seminar-kavita-ramanan-brown-university","status":"publish","type":"page","link":"https:\/\/www.bu.edu\/cise\/cise-seminar-kavita-ramanan-brown-university\/","title":{"rendered":"Distinguished Hariri Institute\/CISE Seminar: Kavita Ramanan, Brown University"},"content":{"rendered":"

Date: Friday, February 23, 2024
\nTime: 3:00pm \u2013 4:00pm
\nLocation: 665 Commonwealth Avenue, CDS 1750<\/span>
\nRegister<\/span> here<\/a>.<\/strong><\/p>\n

\"\"<\/p>\n

Kavita Ramanan<\/strong><\/span>
\nProfessor of Applied Mathematics<\/span>
\n Brown University<\/span><\/h4>\n

Asymptotically Exact Characterization of Epidemic Models on Sparse Random Graphs<\/span><\/strong>
\nWe study the Susceptible-Infected-Recovered (SIR) and the Susceptible-Exposed-Infected-Recovered (SEIR) models of epidemics with time-varying rates on a class of locally tree-like networks that includes sparse Erd\u0151s\u2013R\u00e9nyi graphs, regular graphs, and other configuration models. We show that, in a suitable asymptotic regime where the population size goes to infinity, the dynamics of the SIR and SEIR processes can be described exactly by a tractable finite system of ODEs. Furthermore, we demonstrated how the ODE characterization can be used to analyze the outbreak size under both constant and time-varying recovery rates.\u00a0 We also demonstrate via simulations the efficacy of the ODE description for populations of moderate size, and remark on generalizations. This is joint work with Juniper Cocomello.<\/span><\/p>\n

Kavita Ramanan<\/a> <\/strong>works on probability theory, stochastic processes and their applications, including reflected processes, large deviations theory,\u00a0 high-dimensional probability and applications to asymptotic convex geometry.\u00a0 She has also developed novel mathematical frameworks for the analysis of stochastic networks, Markov random fields and interacting particle systems, which arise as models in a variety of fields ranging from operations research and engineering to statistical physics and neuroscience. Her work combines tools from several fields including discrete probability, stochastic analysis and partial differential equations.\u00a0 She also has four patents to her name.<\/span><\/p>\n

Her research has been recognized by several<\/span>\u00a0<\/span>honors<\/a><\/span>, including a Vannevar Bush Faculty Fellowship, a Guggenheim Fellowship, the Newton Award, and the Erlang Prize from the Applied Probability Society.\u00a0 She is an elected member of the American Academy of Arts and Sciences and a Fellow of several societies including the American Mathematical Society, American Association for the Advancement of Science, Society for Industrial and Applied Mathematics, Institute for Mathematical Statistics and INFORMS. \u00a0 She\u00a0 has served as the Area Editor for Mathematics of Operations Research, is currently co-editor-in-chief of the Annals of Applied Probability and serves on\u00a0 several\u00a0other editorial boards<\/a><\/span>.\u00a0 She is an Associate Director at the\u00a0Institute for Computational and Experimental Research in Mathematics (ICERM)<\/em>. \u00a0 She cares deeply about inclusivity and math communication to diverse audiences, and runs a math outreach group called the\u00a0Math CoOp<\/a>.\u00a0 She also founded the\u00a0SEAM<\/a><\/span>\u00a0<\/span>(Social Equity and Applied Mathematics) seminar, and initiated a bilingual math outreach program, called\u00a0Mathematics Sin Fronteras<\/a><\/span>.<\/p>\n

Her research has been supported by grants from the National Science Foundation (continually since 2003),\u00a0 Department of Defense, Army Research Office, Air Force Office of Scientific Research, Office of Naval Research, Guggenheim Foundation and Simons Foundation.<\/span><\/p>\n

Faculty Host:<\/strong> <\/span>Yannis Paschalidis<\/a>
\nStudent Host:<\/strong><\/span> Mehdi Kermanshah<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Date: Friday, February 23, 2024 Time: 3:00pm \u2013 4:00pm Location: 665 Commonwealth Avenue, CDS 1750 Register here. Kavita Ramanan Professor of Applied Mathematics Brown University Asymptotically Exact Characterization of Epidemic Models on Sparse Random Graphs We study the Susceptible-Infected-Recovered (SIR) and the Susceptible-Exposed-Infected-Recovered (SEIR) models of epidemics with time-varying rates on a class of locally […]<\/p>\n","protected":false},"author":22390,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.bu.edu\/cise\/wp-json\/wp\/v2\/pages\/40002"}],"collection":[{"href":"https:\/\/www.bu.edu\/cise\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.bu.edu\/cise\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/cise\/wp-json\/wp\/v2\/users\/22390"}],"replies":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/cise\/wp-json\/wp\/v2\/comments?post=40002"}],"version-history":[{"count":24,"href":"https:\/\/www.bu.edu\/cise\/wp-json\/wp\/v2\/pages\/40002\/revisions"}],"predecessor-version":[{"id":40576,"href":"https:\/\/www.bu.edu\/cise\/wp-json\/wp\/v2\/pages\/40002\/revisions\/40576"}],"wp:attachment":[{"href":"https:\/\/www.bu.edu\/cise\/wp-json\/wp\/v2\/media?parent=40002"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}