Matthew B. Seeley

Matthew B. Seeley is a member of Flaster Greenberg’s Intellectual Property Department and Patent Practice Group.  Matthew has prepared and prosecuted patent applications in technologies involving artificial intelligence, machine learning, telecommunications, network and computer security, computer vision, natural language processing, data center management, speech/audio analysis, network security, spectroscopy, autonomous driving systems, watchlist screening, fiber optics, cloud emergency call management systems (CECMS), control systems for unmanned air vehicles, facial-tracking software, object-tracking software, video-analytic software, wireless access points, and more.

He also has experience working in-house at several Fortune 500 companies where he managed international patent portfolios and evaluated more than 160 open-source licenses. He also helped build an open-source policy for one of his Fortune 500 clients.

While he was a graduate student in computer science, Matthew was the lead author for submissions published in the 13th IEEE International Conference on Bioinformatics and Bioengineering and in the 5th ACM Conference on Bioinformatics. He also completed a master’s thesis applying ensembles of machine-learning models to predict protein secondary structure. Matthew also authored an article that was published in the BYU Law Review in 2011; that article has been cited by subsequent publications in Surgical Neurology International and WIREs Forensic Science.