{"id":728,"date":"2023-01-17T15:23:23","date_gmt":"2023-01-17T15:23:23","guid":{"rendered":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/?page_id=728"},"modified":"2023-03-08T15:41:58","modified_gmt":"2023-03-08T15:41:58","slug":"ritu-chadha","status":"publish","type":"page","link":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/speakers\/ritu-chadha\/","title":{"rendered":"Ritu Chadha"},"content":{"rendered":"\n
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\n Ritu Chadha <\/h3>\n <\/div>\n \n <\/div>\n <\/div>\n
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Ritu Chadha<\/h1>\n

Senior Research Director at Peraton Labs<\/span><\/h5>\n
Dr. Ritu Chadha is a senior research director at Peraton Labs, where she leads the machine learning and data analytics department. She is responsible for basic and applied research programs in the areas of machine learning and artificial intelligence, with applications in a variety of domains, including cyber security, wireless networking, machine vision, text analytics, autonomy, and modeling and simulation.\u00a0<\/span><\/span><\/h5>\n
During her tenure at Peraton Labs and its predecessor companies (Perspecta Labs, Bellcore, Telcordia, Applied Communication Sciences, Vencore Labs), Chadha has performed and managed research in areas at the intersection of cybersecurity, data analytics, machine learning and wireless networking for customers including the Defense Advanced Research Projects Agency (DARPA), U.S. Army Research Laboratory, U.S. Army C5ISR Center, Air Force Research Laboratory, and other government as well as commercial customers.\u00a0<\/span><\/span><\/h5>\n
Chadha is a pioneer in the area of policy-based network management and its application to wireless and mobile ad hoc networks. Chadha\u2019s critical contribution was to leverage the latest advancements in these areas and use them to shape and guide the development of a new suite of successful products for IP network management.\u00a0<\/span><\/span><\/h5>\n
Chadha received a Bachelor of Arts degree in mathematics from St. Stephen\u2019s College, Delhi, India, a Master of Science degree in computer science from Virginia Tech and a doctorate in computer science from the University of North Carolina at Chapel Hill. She has authored more than 100 conference and journal papers, is a coinventor on multiple patents and has written a book on the application of policy-based network management to mobile ad hoc networks. Chadha was elected a Telcordia Fellow in 2008 in acknowledgment of the significance of her contributions to Telcordia\u2019s business in producing both leading edge research and customer-focused results.\u00a0\u00a0<\/span><\/span><\/h5> <\/div>\n<\/div>\n <\/div>\n <\/div>\n <\/div>\n
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Executive<\/p> <\/div>\n<\/div>\n\n

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Track: Cyber Analytics<\/h6> <\/div>\n<\/div>\n\n
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Adversarial Machine Learning for Cyber Applications<\/h2>\n

Over the last few years, it has become evident that machine learning models are vulnerable to different types of attacks. Such attacks, referred to as adversarial machine learning, have been demonstrated in multiple modalities, including images, audio, text, etc., leading to the development of a variety of defensive techniques that mitigate the impact of these attacks. However, the area of adversarial machine learning against the cyber modality is under-explored. This presentation will discuss Adversarial Machine Learning with a focus on cyber applications.<\/p> <\/div>\n<\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"

Ritu Chadha Ritu Chadha Senior Research Director at Peraton Labs Dr. Ritu Chadha is a senior research director at Peraton Labs, where she leads the machine learning and data analytics department. She is responsible for basic and applied research programs in the areas of machine learning and artificial intelligence, with applications in a variety of […]<\/p>\n","protected":false},"author":1001077,"featured_media":753,"parent":712,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"class_list":["post-728","page","type-page","status-publish","has-post-thumbnail","hentry","has-post-title","has-post-date","has-post-category","has-post-tag","has-post-comment","has-post-author",""],"acf":[],"yoast_head":"\nRitu Chadha - 2023 INFORMS Business Analytics Conference<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/speakers\/ritu-chadha\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Ritu Chadha\" \/>\n<meta property=\"og:description\" content=\"Ritu Chadha Ritu Chadha Senior Research Director at Peraton Labs Dr. Ritu Chadha is a senior research director at Peraton Labs, where she leads the machine learning and data analytics department. 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src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/files\/2023\/01\/Ritu_Chadha_2023_INFORMS_Analytics_Conference_speaker.jpg\" title=\"Ritu Chadha\" alt=\"Ritu Chadha headshot\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/files\/2023\/01\/Ritu_Chadha_2023_INFORMS_Analytics_Conference_speaker.jpg 300w, https:\/\/meetings.informs.org\/wordpress\/analytics2023\/files\/2023\/01\/Ritu_Chadha_2023_INFORMS_Analytics_Conference_speaker-150x150.jpg 150w, https:\/\/meetings.informs.org\/wordpress\/analytics2023\/files\/2023\/01\/Ritu_Chadha_2023_INFORMS_Analytics_Conference_speaker-47x48.jpg 47w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/> <h3> Ritu Chadha <\/h3>\n<h1>Ritu Chadha<\/h1> <h5>Senior Research Director at Peraton Labs<\/h5> <h5>Dr. Ritu Chadha is a senior research director at Peraton Labs, where she leads the machine learning and data analytics department. She is responsible for basic and applied research programs in the areas of machine learning and artificial intelligence, with applications in a variety of domains, including cyber security, wireless networking, machine vision, text analytics, autonomy, and modeling and simulation.\u00a0<\/h5> <h5>During her tenure at Peraton Labs and its predecessor companies (Perspecta Labs, Bellcore, Telcordia, Applied Communication Sciences, Vencore Labs), Chadha has performed and managed research in areas at the intersection of cybersecurity, data analytics, machine learning and wireless networking for customers including the Defense Advanced Research Projects Agency (DARPA), U.S. Army Research Laboratory, U.S. Army C5ISR Center, Air Force Research Laboratory, and other government as well as commercial customers.\u00a0<\/h5> <h5>Chadha is a pioneer in the area of policy-based network management and its application to wireless and mobile ad hoc networks. Chadha\u2019s critical contribution was to leverage the latest advancements in these areas and use them to shape and guide the development of a new suite of successful products for IP network management.\u00a0<\/h5> <h5>Chadha received a Bachelor of Arts degree in mathematics from St. Stephen\u2019s College, Delhi, India, a Master of Science degree in computer science from Virginia Tech and a doctorate in computer science from the University of North Carolina at Chapel Hill. She has authored more than 100 conference and journal papers, is a coinventor on multiple patents and has written a book on the application of policy-based network management to mobile ad hoc networks. Chadha was elected a Telcordia Fellow in 2008 in acknowledgment of the significance of her contributions to Telcordia\u2019s business in producing both leading edge research and customer-focused results.\u00a0\u00a0<\/h5>\n<p>Executive<\/p>\n<h6>Track: Cyber Analytics<\/h6>\n<h2>Adversarial Machine Learning for Cyber Applications<\/h2> <p>Over the last few years, it has become evident that machine learning models are vulnerable to different types of attacks. Such attacks, referred to as adversarial machine learning, have been demonstrated in multiple modalities, including images, audio, text, etc., leading to the development of a variety of defensive techniques that mitigate the impact of these attacks. However, the area of adversarial machine learning against the cyber modality is under-explored. This presentation will discuss Adversarial Machine Learning with a focus on cyber applications.<\/p>","_links":{"self":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/pages\/728","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/users\/1001077"}],"replies":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/comments?post=728"}],"version-history":[{"count":21,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/pages\/728\/revisions"}],"predecessor-version":[{"id":3448,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/pages\/728\/revisions\/3448"}],"up":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/pages\/712"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/media\/753"}],"wp:attachment":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/wp-json\/wp\/v2\/media?parent=728"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}