postgradasia-lecturer-MMU-RaphaelPhanChungWei-2018

Raphael Phan

Professor

Multimedia University (MMU)

Professor Raphael has researched diverse aspects of security and privacy for the past two decades, having supervised students ranging from undergraduate through to postdoctoral level in unconventional security areas.

Academic qualification(s):

BEng (Hons) Electronics, MEngSc, PhD (Eng) MMU, CEng, PEng

What I can offer to a postgraduate student

I have researched diverse aspects of security and privacy for the past two decades, having supervised students ranging from undergraduate through to postdoctoral level in unconventional security areas. In fact, it is often in beyond-the-norm topics that we find that students have most passion. For instance, our recent work on detecting subtly concealed emotions, and lifting fingerprints from different surfaces which gives students a feel of how CSI is like.

What I seek in a postgraduate student

What we look for in students is that they have a passion for finding out the why's in whatever they come across. That alone will drive them to start moving and keep them moving until they've reached a point where they're ready to graduate.

Latest research

Our latest research has been on detecting movements invisible to the naked eye and their relevance to security applications such as recognizing hidden emotions.  This is an exciting area of research especially given the recent public interest in distinguishing between real and fake social media postings.

Research interest(s):

Security, privacy, pattern recognition, forensics.

Funded research

Status: Ongoing
Duration: 2016 – 2018
Subject of study: Subtle Emotion Recognition with Computer Vision (SubtleSee)

Status: Ongoing
Duration: 2016 – 2018
Subject of study: Parallel Analytics for Distributed & Gpu platforms (ParAdigm)

Status: Ongoing
Duration: 2013 – 2018
Subject of study: Signal Processing Solutions for the Networked Battlespace

Status: Completed
Duration: 2015 – 2016
Subject of study: 2beAware: Awareness of Adversely Subtle Situations

Status: Completed
Duration: 2014 – 2016
Subject of study: ProvAdverse: Provably-Secure Models, Schemes & Proofs for Adversarial Processes