Advances in the so-called internet of things have put amazing technology in the hands of many Canadian households, but what happens when those trendy tech products give away your secrets?
An international study by data protectors, including the Information and Privacy Commissioner of Ontario, showed that six in 10 “Internet of Things” devices don’t propertly tell customers how their data is being used.
Professor Sherman Shen and his former ECE PhD students, Professors Rongxing Lu, Xiaohui Liang, Hao Luan, and Xiaodong Lin have won the 2017 IEEE Best Land Transportation Paper Award for their work "Pseudonym Changing at Social Spots: An Effective Strategy for Location Privacy in VANETs." This award recogn
Six HeForShe IMPACT scholarships have been awarded to exceptional female students entering their first year as undergraduates in science, technology, engineering or mathematics (STEM). The scholarships are part of the University of Waterloo’s commitment to encourage more young women to pursue fields in STEM, where females are currently underrepresented.
ECE Professor Vijay Ganesh and his PhD student, Jia Hu Liang, were big winners at the 2017 SAT Competition held in Melbourne, Australia. One of Ganesh's solvers, MapleCOMSPS, was awarded two silver medals; his student won honourable mentions in the best student paper award category.
Dr. Hamed Majedi and former PhD student and postdoctoral fellow, Milad Khoshengar have published their paper "A solid state source of photon triplets based on quantum dot molecules" in Nature Communications. This groundbreaking work is the result of a three-year collaboration between Dr. Majedi's research group and NRC Innsbruck and Bordeaux. The team has set a world record of producing photon triplet by any means.
Yesterday, the Department of Electrical and Computer Engineering welcomed a delegation of representatives from Huawei Technologies Co. The delegation was on site to award five students in electrical and computer engineering Huawei Graduate Entrance Awards (valued at $5000.00 each).
Researchers at Waterloo Engineering have developed computer software to detect when drivers are dangerously distracted by texting or other physical activities while they are behind the wheel.
Combining cameras and artificial intelligence, the system could be used to improve safety by alerting drivers to pay attention or trigger even more decisive action as advanced self-driving features are added to vehicles.