Reza Rawassizadeh holds a Ph.D. of Computer Science from University of Vienna, a Master\u2019s degree from the Vienna University of Technology, and a Bachelor\u2019s degree from Tehran Azad University (Central Branch).<\/p>\n
His research interest focuses on ubiquitous technologies including wearables, mobile devices and robots. He has made notable contributions in designing resource efficient, on-device machine learning algorithms to operate on small battery-powered devices such as smartwatches or fitness trackers, without any network requirement.<\/p>\n
For several AI-based companies, he serves as the senior or chief scientific advisor.<\/p>\n
Reza\u2019s personal homepage is available under this link: https:\/\/sites.google.com\/view\/rezar<\/a><\/p>\n <\/div>\n<\/div>\n <\/div>\n<\/div>\n Selected Recent Publications<\/strong><\/p>\n <\/span>Visit\u00a0<\/span>Google Scholar<\/span><\/a> for a full list of scholarly works.<\/span><\/em><\/p>\n <\/div>\n<\/div>\n <\/div>\n<\/div>\n<\/p>\n","protected":false},"author":2828,"template":"","_links":{"self":[{"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/profile\/22074"}],"collection":[{"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/profile"}],"about":[{"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/types\/profile"}],"author":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/users\/2828"}],"version-history":[{"count":30,"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/profile\/22074\/revisions"}],"predecessor-version":[{"id":30626,"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/profile\/22074\/revisions\/30626"}],"wp:attachment":[{"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/media?parent=22074"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Courses<\/h3>
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\nResearch Interests<\/h3>
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\nScholarly Works<\/h3>
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\nRecent Press Releases and Media Appearances<\/h3>
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