Mahshid Ghasemi (co-advised with Prof. Javad Ghaderi) deposited her Ph.D. Dissertation titled “Scalable Edge-Cloud Architectures for Real-Time Video Analytics Applications: Design and Deployment.” Over the past few years, Mahshid has made major contributions to WiMNet lab’s efforts in the areas…
By Xintian Tina Wang The award-winning study demonstrates a privacy-preserving, real-time edge computing system that uses street cameras and on-device intelligence to warn pedestrians of danger seconds before potential collisions. A paper led by Mahshid Ghasemi, a WiMNet Lab PhD…
In the not-so-distant future, many cities will be powered by AI, with smart sensors, cameras, and mobile phones continuously analyzing data to enhance safety, optimize traffic, and improve urban living. While this vision is almost within reach, a major roadblock…
Professors Zoran Kostic, Gil Zussman, Javad Ghaderi, and their students share their latest findings at the Computer Vision and Pattern Recognition Conference (CVPR). Original article by Xintian Tina Wang Imagine a “smart city” of the future where intelligent machines like…
BY Xintian Tina Wang Columbia University’s Department of Electrical Engineering proudly celebrates the achievements of Ph.D. students Mahshid Ghasemi (advised by Prof. Gil Zussman and Prof. Javad Ghaderi) and Jeremy Allen Johnston (advised by Prof. Xiaodong Wang), who have recently…
6 teams were selected for CS3’s inaugural Spring 2024 NSF Smart Streetscapes VALIDATE Accelerator cohort. WiMNet lab PhD student Mahshid Ghasemi co-lead the KeeVeeve Team which is of the VALIDATE teams. KeeVeeve will provide real-time traffic, crowd, and road information…
