B. Aditya Prakash, assistant professor in The Department of Computer Science has received the prestigious Faculty Early Career Development (CAREER) Award from the National Science Foundation to find data-driven network strategies to enhance national security and public health. Click here to read ore about Aditya’s award.
News featuring B. Aditya Prakash
DAC faculty member, Aditya Prakash has co-authored a book titled “The Global Cyber-Vulnerability Report,” in collaboration with the University of Maryland Institute for Advanced Computer Studies.
This book establishes metrics to measure cyber-vulnerability of countries and quantify the cyber-vulnerability of countries. In addition, it offers useful data-driven policy advice for law-makers and policy-makers in each country. It is also the first that uses cyber-vulnerability data to explore the vulnerability of over four million machines per year, covering a two-year period as reported by Symantec. Analyzing more than 20 billion telemetry reports comprising malware and binary reputation reports, this book quantifies the cyber-vulnerability of 44 countries for which at least 500 hosts were monitored.
Click here for more info about “The Global Cyber-Vulnerability Report.”
DAC faculty member Aditya Prakash, an assistant professor in the department of computer science is working on a multi-disciplinary project about the Russian flu epidemic of the late 19th century. He is working with faculty in the department of history, specifically professor Tom Ewing and associate professor Amy Nelson. They have received a $175,000 grant from the National Endowment for the Humanities (NEH) for their research and are collaborating with the Leibniz Universität Hannover in Germany t0 examine medical discussion and news reporting during the epidemic. To read more about this project click here.
Congratulations to Aditya Prakash on his Facebook Faculty Award, one of only 10 such awards given this year! The award will support novel information diffusion related research focusing on understanding, predicting and countering virality on social-media websites and platforms. For example, some of the questions Aditya will study include: “What content could go viral? How much and when? Given a context, how to identify and counter negative viral campaigns?” Look forward to exciting results from this research!
Congratulations to DAC faculty member Aditya Prakash for his new NSF award entitled: “Immunization in Influence and Virus Propagation on Large Networks”! Aditya is exploring the question: given a graph, like a social network or the blogosphere, in which an virus (or meme or rumor) has been spreading for some time, how to select the k best nodes for immunization/quarantining immediately? The work has several applications in public health and epidemiology, viral marketing and social media like Twitter.