Department of Electrical & Computer Engineering professors Christos Cassandras and Tom Little spoke about energy innovations coming from their labs. Cassandras works on sensor networks, control systems and algorithms that could become powerful tools in developing smart ways to save energy. Tough Questions on Electric Energy Management June 2009
Professor Christos Cassandras is the principle investigator on a four-year, $2 million National Science Foundation grant to advance the reconfiguration of autonomous networks. The main test bed for this research will be OpenAir Boston, a private, non-profit organization that will oversee the impending wireless network over the city of Boston. Research Focuses on Getting Wireless […]
Led by Christos Cassandras (Boston University), along with Azer Bestavros (Boston University), Robert X. Gao (University of Massachusetts-Amherst), Weibo Gong (University of Massachusetts-Amherst), and Ioannis Paschalidis (Boston University) and titled, “Event-Driven Sensing for Enterprise Reconfigurability and Optimization” (grant #0735974). This project seeks a fundamental understanding of how an enterprise, which itself encompasses a number of […]
Sensor Network Consortium Launched December 2004
Science fiction may soon meet science fact because of research being conducted by Christos Cassandras, a professor of manufacturing engineering and electrical and computer engineering at Boston University College of Engineering and a member of the College’s Center for Information and Systems Engineering (CISE). Cassandras and a team of co-investigators from Boston University and researchers […]
Cassandras, an ENG professor of manufacturing engineering, says that appliances will be only one of many applications for so-called sensor networks, which feature a constellation of miniature devices that monitor a wide range of things, from vibrations to temperature to toxic chemicals and biological weapons. Cheap, lightweight, and built with tiny radios, the sensors will […]
NSF grants $1.2 million to cope with complexities in manufacturing systems October 1998
