Vacancy (Research Scholarship Scheme)

Project Title: Resource Allocation for Distributed Wireless Video Surveillance System
Location: Sungai Long campus
Appointment Duration: 3 years
No. of Vacancy: 1 PhD candidate
Stipend: RM3000.00 per month (Full Tuition Fee Scholarship for candidate with CGPA: 3.5000 and above T&C applies;)
Education Level: MEng/MSc or BEng/BSc (First Class Honours)
Specific Skills / Knowledge Required: Physical Layer Signal Processing
Image/Video Compression
Convex Optimization
Deep Learning
Software: MATLAB, Caffe/TensorFlow (Linux)
Job Description:
  1. Recent years have witnessed the growing pervasiveness of intelligent video surveillance (VS) systems due to significant advancements of both deep learning and edge computing technologies. On one hand, deep learning has transformed VS systems into authentic visual intelligence ecosystems capable of detecting, recognizing and tracking objects of interest. On the other hand, edge computing (EC) offloads the computational burden from the network center to the edge of the network in order to minimize huge communication overhead. This project aims to optimize the network bandwidth utilization while maximizing the number of query-specified objects from multi-camera wireless video feeds.
How to apply: If you are interested, please contact Dr. Tham Mau Luen via email at thamml@utar.edu.my