{"id":1627,"date":"2023-01-31T14:51:22","date_gmt":"2023-01-31T14:51:22","guid":{"rendered":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/speakers\/matthias-mozer-copy\/"},"modified":"2023-02-02T14:52:01","modified_gmt":"2023-02-02T14:52:01","slug":"pantelis-loupos","status":"publish","type":"page","link":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/speakers\/pantelis-loupos\/","title":{"rendered":"Pantelis Loupos"},"content":{"rendered":"\n
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Pantelis Loupos<\/h1>\n

Assistant Professor of Business Analytics and Marketing at University of California-Davis<\/span><\/h1>\n
Pantelis Loupos is an assistant professor of Business Analytics and Marketing at the Graduate School of Management at the University of California, Davis. He received his B.S. in Electrical Engineering and Computer Science from University of Patras in 2006, and an M.S. in Operations Research from Georgia Institute of Technology in 2013. He received his Ph.D. in Operations Management from Kellogg School of Management at Northwestern in 2018. His research interests span customer relationship management in digital platforms and network science.\u00a0\u00a0He\u00a0currently examines consumer behavior in networked services, and he is using data from Venmo and other peer-to-peer crypto token services to understand the impact of heterogeneous social networks on customer activity and acquisition.

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Track: Government<\/h6> <\/div>\n<\/div>\n\n
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Think Again Before You Crypto Launder<\/h2>\n

Crypto tokens have opened up new ways to launder money. In this work, we use Graph Neural Networks (GNNs) and behavioral analytics to recreate the laundering crypto network that is created through tumbling services. We apply our methodology to Tornado Cash; one of the most popular decentralized cryptocurrency tumbles that runs on the Ethereum network. Our findings provide law enforcement agencies and governments with a methodology on how to combat crypto laundering through tumbling.<\/p> <\/div>\n<\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"

Pantelis Loupos Pantelis Loupos Assistant Professor of Business Analytics and Marketing at University of California-Davis Pantelis Loupos is an assistant professor of Business Analytics and Marketing at the Graduate School of Management at the University of California, Davis. He received his B.S. in Electrical Engineering and Computer Science from University of Patras in 2006, and […]<\/p>\n","protected":false},"author":1001094,"featured_media":1597,"parent":712,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"class_list":["post-1627","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":"\nPantelis Loupos - 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\/pantelis-loupos\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pantelis Loupos\" \/>\n<meta property=\"og:description\" content=\"Pantelis Loupos Pantelis Loupos Assistant Professor of Business Analytics and Marketing at University of California-Davis Pantelis Loupos is an assistant professor of Business Analytics and Marketing at the Graduate School of Management at the University of California, Davis. 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He received his B.S. in Electrical Engineering and Computer Science from University of Patras in 2006, and an M.S. in Operations Research from Georgia Institute of Technology in 2013. He received his Ph.D. in Operations Management from Kellogg School of Management at Northwestern in 2018. His research interests span customer relationship management in digital platforms and network science.\u00a0\u00a0He\u00a0currently examines consumer behavior in networked services, and he is using data from Venmo and other peer-to-peer crypto token services to understand the impact of heterogeneous social networks on customer activity and acquisition.<br><br>\n<h6>Track: Government<\/h6>\n<h2>Think Again Before You Crypto Launder<\/h2> <p>Crypto tokens have opened up new ways to launder money. In this work, we use Graph Neural Networks (GNNs) and behavioral analytics to recreate the laundering crypto network that is created through tumbling services. We apply our methodology to Tornado Cash; one of the most popular decentralized cryptocurrency tumbles that runs on the Ethereum network. 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