PhD Scholarship on Deep Learning in Wireless Video Surveillance Networks

University / Institute : Universiti Tunku Abdul Rahman
Website URL for the Research Center/Lab : http://www2.utar.edu.my/cv/index.jsp?cv=thamml&reqPageId=aboutMe
Project Title : Resource Allocation for Distributed Wireless Video Surveillance System
Start Date : 1.2.2020
End Date : 31.1.2023
Funding Agency : UTARRF
Contact Person : Dr. Tham Mau Luen
Contact Email(s) : thamml@utar.edu.my
Contact Phone(s) : 60177608385
Nationality Requirements on Candidate(s) : Open to all nationalities
Description :

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.

Monthly stipend: Up to RM 3,000 (Depending on Qualifications and Experience)

Pre-requisite Degree:
MEng/MSc or BEng/BSc (First Class Honours) in a field related to Electrical, Electronic, Telecommunications Engineering, Computer Science

Pre-requisite Skills:
Physical Layer Signal Processing
Image/Video Compression
Convex Optimization
Deep Learning
Software: MATLAB, Caffe/TensorFlow (Linux)

General Requirements
Excellent command of English
Able to work with minimal supervision, self-motivated and independent
Good track records in journal publications

Expected Outcomes
Publications in ISI Journals and Top Conference Proceedings

Only shortlisted applicants will be notified and called for interview.

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