Regular biography
Sriram SAMI is a Lecturer (Educator Track) in the Department of Computer Science at the National University of Singapore. His research areas include Systems & Networking, Internet of Things, Mobile Computing & Sensing, and Security. He has published work on topics such as Hidden Spy Camera Detection using Smartphone Time-of-Flight Sensors and Eavesdropping via Lidar Sensors. Sriram has received several teaching awards, including the Annual Teaching Excellence Award (ATEA) - Team Category (for 2023/2024) and Full Time Teaching Assistant Awards for 2021/2022 and 2020/2021. He teaches courses such as CS1010 Programming Methodology and CS3210 Parallel Computing.
Scholar-generated biography
Sriram Sami is a researcher at the National University of Singapore, focusing on IoT, Side-Channels, Sensing, Security, and Privacy. His work explores vulnerabilities in IoT devices, particularly through side-channel attacks and sensor-based eavesdropping. Notable research includes 'Spying with your robot vacuum cleaner: eavesdropping via lidar sensors' and 'LAPD: Hidden spy camera detection using smartphone time-of-flight sensors.' Sami also investigates the use of lidar and time-of-flight sensors for detecting hidden spy cameras and acoustic eavesdropping. His research highlights the security risks associated with IoT devices and the importance of privacy in sensor-based systems.