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Hello and welcome to the Vivek Lab!

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We are interested in probing emergent phenomena at various scales using a combination of statistical physics, complex networks, low-cost robotics, and data science. Our work interfaces with multiple disciplines including: cybersecurity, civil engineering, and disaster management. To see some examples of our work and interests, please scroll down for current projects, or see the Research tab.

 

If you are interested in our work, please contact: svivek@ggc.edu

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News!

Paper on urban road network vulnerabilities to targeted with Hannah Conner was published by the journal Safety Science!

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Paper on strategic effects of cyber attacks on air transport networks with Charles Harry was published at CyCon 2021 (sponsored by NATO)!

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Interview in BBC on risks associated with hacking Internet Cars!

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Our research was highlighted by Forbes!

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While internet connected vehicles are now 20% of all vehicles in the US, it is largely unknown what the consequences of  large-scale hack would be. Moreover, typical cybersecurity approaches are focused on preventing vehicle hacking, which is becoming harder due to the rapid increase in vehicle connectivity and IoT. Using a combination of complex adaptive systems and multiple data sets, we ask: what is the potential for a targeted hack on transportation? In answering this question, we develop network based metrics and a framework for detecting cyber attacks on transportation through multiple data sources.

In collaboration with Dr. Charles Harry from the University of Maryland, we look at the potential network disruptions and cascades ocurring due to a cyber-attack on air infrastructures. We develop a network based cyber-risk framework for policy makers to evaluate and visualize interdependent risks in complex air infrastructures.

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How do birds of a feather flock together? In collaboration with Dr. Sairam Tangirala, we explore how simple physical interactions between low-cost bristle bots lead to the emergence of non-trivial collective behaviors.

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Through real-time traffic data sets we uncover how spatiotemporal information can be used to infer anomalies such as emergency evacuations, and inform future disruption like cyber-attacks. 

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