Three Faculty Receive NSF CAREER Awards Three faculty in the College of Engineering have received Early Career Development (CAREER) awards from the National Science Foundation: Surendar Chandra, an assistant professor in the Department of Computer Science and Engineering and, from the Department of Electrical Engineering, Assistant Professor Martin Haenggi and Assistant Professor Paulo Tabuada. Established in 1995, the CAREER program recognizes junior faculty for their efforts in technology-related research and education. It is the highest honor given by the U.S. government to young faculty members in engineering and science. Chandra, who joined the University in 2002, was cited for his proposal titled "Scalable Self-managing Multimedia Storage." The goal of the project is to design and demonstrate a self-managing storage system for high-fidelity audio/video streaming data from sensor deployments, extending the robustness of the signal and managing data storage more efficiently and economically. One application involves home health care systems, where hospitals and physicians use the data collected from multimedia sensors to review the progress of home-bound patients. Haenggi’s project, "Modeling and Managing Uncertainty in Wireless Ad Hoc and Sensor Networks," combines methodologies from information and communication theory, random graph theory, and stochastic geometry. This research will contribute to the current understanding of mobile ad hoc and sensor networks, including multi-hop cellular networks. As with all CAREER projects, Haenggi’s includes an educational outreach component for undergraduate and graduate students. Haenggi joined the University in 2001. A faculty member since 2003, Tabuada’s project, "Automated Synthesis of Embedded Control Software," fosters a paradigm shift in the development of embedded software design. His project explores the integration of control into software design, which would trigger a reduction in software development time and costs. The goal of the project is to increase functionality, robustness, and dependability of the large networks of embedded systems that are becoming more prevalent in society.