Alex Marder is an assistant professor of computer science and a member of the Institute for Assured Autonomy.
Marder’s research covers a wide breadth of networking areas, including the use of empirical analyses and machine learning to evaluate and improve the security and performance of wired and wireless networks. His current work leverages a deep understanding of network architecture and deployment to design secure 5G communication networks for the Department of Defense, reveal security weaknesses in domestic internet access networks, and provide a better understanding of broadband inequity.
He received a BS from Brandeis University and a PhD from the University of Pennsylvania. Prior to joining Johns Hopkins, he was a research scientist at the Center for Applied Internet Data Analysis at the University of California, San Diego.
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New faculty join the department, with research areas ranging from human-centered artificial intelligence and machine learning to natural language processing and computer networking.
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Alex Marder, an assistant professor of computer science, has received the grant as part of the National Science Foundation’s Convergence Accelerator program.