Benjamin A. Miller

Benjamin A. Miller is a technical staff member in the Artificial Intelligence Technology and Systems Group. His research is focused on the development and application of statistical signal processing and machine learning algorithms to large, combinatorial, heterogeneous datasets.

In 2005, Mr. Miller joined MIT Lincoln Laboratory as an associate staff member in the Embedded Digital Systems (later Embedded and High Performance Computing) Group. In this role, he developed novel algorithms for real-time linearization of radio-frequency electronics, researched methods and models for signal recovery in multisensor compressed sensing, and developed efficient spectral techniques for the detection of anomalies in large graphs. In 2012, he became a technical staff member in the Computing and Analytics Group, where he continued his research on the theoretical and computational aspects of anomaly detection in large networks and other dynamic, combinatorial structures.

Mr. Miller is a senior member of the Institute of Electrical and Electronics Engineers (IEEE), and is an active member of the Association for Computing Machinery, the Society for Industrial and Applied Mathematics, and the IEEE Signal Processing Society. He holds seven patents and is author or coauthor of 39 peer-reviewed conference and journal papers on nonlinear signal processing, compressive sensing, and detection and estimation theory for graph-based data.

Mr. Miller received the BS degree (with highest honors) and the MS degree in computer science in 2005 from the University of Illinois at Urbana-Champaign.