By Eric Reinhardt (ereinhardt@cnybj.com)<\/p>\n\n\n\n
ROME, N.Y. \u2014 ANDRO Computational Solutions, LLC of Rome will use two new federal contracts \u2014 worth $150,000 each in their first phase \u2014 for work on new methods for enhancing wireless security.<\/p>\n\n\n\n
The awards were based on research in wireless communications led by ANDRO\u2019s Marconi-Rosenblatt artificial intelligence and machine learning (AI\/ML) innovation lab, the firm said in a news release.<\/p>\n\n\n\n
Established in 1994, ANDRO provides research, engineering, and technical services to defense and commercial industries. It\u2019s currently headquartered in about a 20,000-square-foot space in the Beeches Business Park in Rome and had additional offices in Syracuse and Dayton, Ohio.<\/p>\n\n\n\n
About the contracts<\/em><\/p>\n\n\n\n The U.S. Department of Homeland Security\u2019s (DHS) science and technology (S&T) directorate awarded a phase I Small Business Innovation Research (SBIR) contract to ANDRO called Project Wi5G.<\/p>\n\n\n\n The project seeks to sustain \u201cauthenticated, secure\u201d spectrum band sharing for Wi-Fi 6\/6E and 5G cellular systems co-located and operating simultaneously within restricted federal networks. Wi-Fi 6\/6E and 5G are the latest wireless-equipment standards for local broadband Internet and cellular access.<\/p>\n\n\n\n \u201cThe primary idea of authenticated spectrum sharing is to permit access to the Wi-Fi 6\/6E and 5G radio frequency (RF) bands only to authorized users to protect privacy within a restricted federal network,\u201d Jithin Jagannath, director of the AI\/ML, said.<\/p>\n\n\n\n The phase I project was awarded $150,000 under the DHS SBIR program to conduct proof-of-concept research over a five-month period to address specific homeland-security technology needs, with second-phase funding for prototype development anticipated to be up to $750,000, ANDRO said.<\/p>\n\n\n\n \u201cInvesting in private sector innovation is a key factor in helping DHS keep pace with emerging threats and security challenges facing our nation,\u201d Kathryn Coulter Mitchell, DHS senior official performing the duties of the undersecretary for science and technology, said. \u201cThe DHS SBIR Program provides the opportunity for S&T to partner with small businesses in advancing unique and innovative capabilities that address complex DHS technology needs.\u201d<\/p>\n\n\n\n A second SBIR phase I award from the U.S. Department of Defense valued at $150,000 called DeepeRFind, seeks to develop new methods of enhancing the sensitivity of RF (radio frequency) signal fingerprinting techniques using deep learning \u2014 a machine-learning related approach. The fingerprinting technique enhances wireless security by enabling the accurate detection and classification of wireless signals.<\/p>\n\n\n\n \u201cDeepeRFind has a wide range of applications in both tactical and commercial environments, considering the proliferation of wireless Internet of Things (IoT) devices,\u201d Andrew Drozd, president of ANDRO, said.<\/p>\n\n\n\n The second phase funding for prototype development is anticipated to about $1 million.<\/p>\n\n\n\n \u201cI am proud of ANDRO\u2019s Marconi-Rosenblatt Artificial Intelligence and Machine Learning (AI\/ML) Innovation Lab team for their accomplishments on these two fronts,\u201d Drozd added.<\/p>\n\n\n\n He further mentioned that these opportunities will \u201cconsiderably add\u201d to the company\u2019s portfolio of technologies and products and contribute to its plans for growth and near-term hiring needs, per the firm\u2019s release.<\/p>\n\n\n\n Read the full story here<\/a><\/p>\n","protected":false},"excerpt":{"rendered":" By Eric Reinhardt (ereinhardt@cnybj.com) ROME, N.Y. \u2014 ANDRO Computational Solutions, LLC of Rome will use two new federal contracts \u2014 worth $150,000 each in their first phase \u2014 for work on new methods for enhancing wireless security. The awards were based on research in wireless communications led by ANDRO\u2019s Marconi-Rosenblatt artificial intelligence and machine learning READ MORE<\/a><\/p>\n","protected":false},"author":5,"featured_media":1880,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4,5],"tags":[],"class_list":["post-1879","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-featured","category-news"],"_links":{"self":[{"href":"https:\/\/www.androcs.com\/wp\/wp-json\/wp\/v2\/posts\/1879","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.androcs.com\/wp\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.androcs.com\/wp\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.androcs.com\/wp\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/www.androcs.com\/wp\/wp-json\/wp\/v2\/comments?post=1879"}],"version-history":[{"count":1,"href":"https:\/\/www.androcs.com\/wp\/wp-json\/wp\/v2\/posts\/1879\/revisions"}],"predecessor-version":[{"id":1881,"href":"https:\/\/www.androcs.com\/wp\/wp-json\/wp\/v2\/posts\/1879\/revisions\/1881"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.androcs.com\/wp\/wp-json\/wp\/v2\/media\/1880"}],"wp:attachment":[{"href":"https:\/\/www.androcs.com\/wp\/wp-json\/wp\/v2\/media?parent=1879"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.androcs.com\/wp\/wp-json\/wp\/v2\/categories?post=1879"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.androcs.com\/wp\/wp-json\/wp\/v2\/tags?post=1879"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}