Signal Processing - November 2017 - 11

theory, network science, and graph mining, all dealing with
graph structure. More recently, the area of graph signal pro-
cessing has emerged, formalizing the addition of metadata as
signals on a graph [4]-[6]. Graph signal processing aims to
extend classical signal processing tasks and tools to data on
irregular structures modeled by graph signals (see Figure 1).
The goal is to gain an understanding of the intrinsic structure
of the data by using tools well understood on regular struc-
tures, such as filtering and Fourier transforms, and to perform
tasks such as sampling, restoration, compression, and topol-
ogy learning.
Signal processing on graphs is an active area of research;
many challenges and opportunities still remain. For example,
a number of basic concepts in statistical signal processing and
sampling theory have not yet been entirely extended to graphs
in a unified way. More advanced challenges include the scale
of the data, its heterogeneity, distributed analysis and process-
ing, fusing data from different scales and resolutions, and
processing tensor values defined on nodes. Disparate commu-
nities such as network science, machine learning, and signal
processing are all currently working on these challenges with
the tendency to attack such problems either via learning meth-
ods or by building models; an important path for advancing
this field and dealing effectively with the deluge of data is to
combine the tools and integrate these different approaches.

Open problems in physical layer
wireless communications
Wireless communications have been a major driver of signal
processing research for at least the past three decades, spurred
by the development of widespread consumer mobile commu-
nications and other applications, which today impact the lives
of billions of people-indeed, most people alive today. Here
we focus on research in the physical layer of mobile communi-
cation networks where signal processing has perhaps had the
greatest impact.
Modern mobile communication networks have been
through four generations to date, and the fifth generation (5G)

5
6

3
8
2

FIGURE 1. A graph signal models data (values on the graph nodes)
supported on complex structures (graph nodes).

Professor/Associate Professor/Assistant Professorship in
the Department of Electrical and Electronic Engineering

The University
Established in 2012, the Southern University of Science and
Technology (SUSTech) is a public institution funded by the municipal
of Shenzhen, a special economic zone city in China. Shenzhen is a
major city located in Southern China, situated immediately north of
Hong Kong Special Administrative Region. As one of China's major
gateways to the world, Shenzhen is the country's fast-growing city
in the past two decades. The city is the high-tech and manufacturing
hub of southern China, home to the world's third-busiest container
port, and the fourth-busiest airport on the Chinese mainland. A
picturesque coastal city, Shenzhen is also a popular tourist destination
and was named one of the world's 31 must-see tourist destinations
in 2010 by The New York Times. The Southern University of Science
and Technology is a pioneer in higher education reform in China.
The mission of the University is to become a globally recognized
institution which emphasizes academic excellence and promotes
innovation, creativity and entrepreneurship. The teaching language
at SUSTech is bilingual, either English or Putonghua. Set on five
hundred acres of wooded landscape in the picturesque Nanshan
(South Mountain) area, the new campus offers an ideal environment
suitable for learning and research.
Call for Application
The Southern University of Science and Technology now invites
applications for the faculty position in the Department of Electrical and
Electronic Engineering. It is seeking to appoint a number of tenured or
tenure track positions in all ranks. Candidates with research interests
in all mainstream fields of electrical and electronic engineering will
be considered, including but not limited to IC Design, Embedded
Systems, Internet of Things, VR/AR, Signal and Information
Processing, Control and Robotics, Big Data, AI, Communication/
Networking, Microelectronics, and Photonics. SUSTech adopts the
tenure track system, which offers the recruited faculty members a
clearly defined career path. Candidates should have demonstrated
excellence in research and a strong commitment to teaching. A
doctoral degree is required at the time of appointment. Candidates
for senior positions must have an established record of research,
and a track-record in securing external funding as PI. As a Statelevel innovative city, Shenzhen has chosen independent innovation
as the dominant strategy for its development. It is home to some of
China's most successful high-tech companies, such as Huawei and
Tencent. As a result, SUSTech considers entrepreneurship is one of
the main directions of the university, and good starting supports will
be provided for possible initiatives. SUSTech encourages candidates
with intention and experience on entrepreneurship to apply.
Terms & Applications
To apply, please send curriculum vitae, description of research
interests and statement on teaching to eehire@sustc.edu.cn.
SUSTech offers competitive salaries, fringe benefits including medical
insurance, retirement and housing subsidy, which are among the best
in China. Salary and rank will commensurate with qualifications and
experience. Candidates should also arrange for at least three letters
of recommendation sending directly to the above email account.
The search will continue until the position is filled. For informal
discussion about the above posts, please contact Professor Xiaowei
SUN, Head of Department of Electrical and Electronic Engineering,
by phone 86-755-88018558 or email: sunxw@sustc.edu.cn.

IEEE SIGNAL PROCESSING MAGAZINE

November 2017

Table of Contents for the Digital Edition of Signal Processing - November 2017