His work on artificial intelligence and security has been featured in Forbes, the New Yorker, Slate, the Economist, Business Insider, TechCrunch, CNN and BBC.
[7] In a separate line of work, under the IARPA HAYSTAC program[8] PyReason was used in a strategy to generate movement trajectories using ideas from abductive inference.
[9] Here the authors leveraged properties of logic programming and A* search to generate movement trajectories that met certain criteria but resembled past agent activity.
In the 2012 paper “Large social networks can be targeted for viral marketing with small seed sets”,[10] Shakarian introduced a fast, novel method for identifying sets of nodes that can maximize the spread of a contagion in a social network based on the standard “tipping model.” The work was presented in a 2012 ASONAM paper (later extended in a 2013 journal SNAM[11] and described in a 2015 book published by Springer-Nature[12] ).
[18][19] They found that this information could also be used to create features for machine learning approaches can successfully predict the use of exploits – even when accounting for temporal intermixing of data.
[27] In 2017, while maintaining his academic position he co-founded and led (as CEO) Cyber Reconnaissance, Inc., (CYR3CON), a business that specialized in combining artificial intelligence with information mined from malicious hacker communities to avoid cyber-attacks.