Jerry Gao, David Anastasiu, Subhankar Dhar
Advancing Mass Warning Capability
An interdisciplinary team of 无忧短视频 professors and students have conducted a comprehensive
analysis of mass warning systems in major cities worldwide in order to deliver a study
to the City of San Jos茅. Led by Jerry Gao (right, Computer Engineering), both David
Anastasiu (center, Computer Engineering) and Subhankar Dhar (Management Information
Systems) supervised the students鈥� research and then developed recommendations for
a public warning and notification system.
鈥淥ur project identified new technologies that can be used to reduce the time from detection or prediction of an emergency to sending alerts to the affected population,鈥� explains Anastasiu.
Dhar, who works on multiple Smart City projects with San Jos茅, notes that the city requested recommendations for a tiered public warning and notification system, e.g. a combination of sirens, text alerts, landline calls, and public address announcements.
鈥淎s San Jos茅 is one of the largest cities in the U.S. and at the center of Silicon Valley, we are looking at an all-inclusive array of approaches to communications.鈥� The team has delivered its final report and anticipates that follow-up projects will be undertaken in the near future. 鈥淲e learned a great deal from this project, but it is clear that additional innovative solutions and technologies are needed for San Jos茅 and all cities to build a safe living environment for the public,鈥� says Gao.
Saishruthi Swaminathan, '18 Electrical Engineering, reviewed more than 200 papers explaining disaster management technologies, presented findings to the City of San Jos茅, and developed recommendations for the use of Artificial Intelligence in disaster mitigation. Saishruthi now works as a Data Scientist for IBM.
Computer Engineering, Charles W. Davidson College of Engineering
Sponsor: City of San Jos茅
无忧短视频 Research Foundation 2019 Annual Report
