Kai QIN (Alex)
under A. K. Qin
(Google Scholar Citations)
IEEE Senior Member
Department of Computing Technologies
Swinburne University of
Technology, John Street,
Hawthorn, Victoria 3122, Australia
Phone: +(61 3) 9214 3766
I received the B.Eng. degree from the
School of Automation
at Southeast University
(Nanjing, Jiangsu, China) in 2001, and the Ph.D. degree from the
School of Electrical and
Electronic Engineering at Nanyang Technological University
(Singapore) in 2007. In 2005, I visited
the Illinois Genetic Algorithms Laboratory (led by Prof. David
E. Goldberg) at the University of Illinois at
Urbana- Champaign (Urbana, Illinois, USA)
for three months. From 2007 to 2009, I worked as a
Postdoctoral Fellow in the Vision and Image Processing Lab in the
Department of Systems
Design Engineering at the University of Waterloo (Waterloo, Ontario, Canada). From
2010 to 2012, I worked in the MISTIS (now known as
INRIA Grenoble-Rhône-Alpes (Grenoble, France), firstly as a
Postdoctoral Researcher and then as an Expert Engineer. From
2012 to 2017, I worked in the School of Computer Science and IT
(now known as the
School of Computing Technologies) at
(Melbourne, Australia) as
Vice-Chancellor's Research Fellow, a Lecturer and then a Senior Lecturer.
In 2017, I joined the
Department of Computer Science and Software Engineering (now
known as the
Department of Computing Technologies) at
Swinburne University of
Technology (Melbourne, Australia) as an Associate Professor
and got promoted to Professor in 2021.
Currently, I am the Director of
Swinburne Intelligent Data Analytics Lab in the
Digital Research Innovation Capability Platform, Deputy
Director of the
Space Technology and Industry Institute, and the
Program Lead for "Data
Analytics" in the
Data Science Research Institute. I was also the Founding Director (2018-2020) of the
Master (and Graduate Certificate) of Data Science Course.
Swinburne Academic Profile
My primary research field is
Computational Intelligence which studies biologically and
linguistically motivated computational paradigms and approaches to solve
complex real-world problems to which traditional methods are ineffective
or infeasible. It is a subfield of AI, consisting of three pillars,
i.e., Neural Networks, Evolutionary Computation and Fuzzy Systems.
Notably, Neural Networks are the scaffold of Deep Learning which is a
subfield of Machine Learning and the mainstay of modern AI techniques,
driving the reviving and booming of AI in recent years.
My major research interests include
Machine Learning, Neural Networks,
Evolutionary Computation, Computer
Vision, Remote Sensing,
Services Computing and Pervasive
Computing. Particularly, I am interested in synergising
machine learning and intelligent optimisation techniques while
leveraging high-performance computing horsepower to solve challenging
problems that involve learning and optimisation as two indispensable and
Now, I am serving as the Chair of the
IEEE Neural Networks Technical Committee and the Vice-Chair of the IEEE Emergent Technologies Task Force
on "Multitask Learning and Multitask
OptimisationĦħ. I am also the General Co-Chair of the
International Joint Conference on Neural Networks (IJCNN 2022).
I am looking for highly self-motivated Master (by Reserach) and PhD
students, postdocs, and visitors (incl. both students and scholars) to
work in my team.
Master (by Research) and PhD applicants, please send me your
CV, transcript(s) and research interest statement.
For postdoc applicants, please send me your CV, transcipt(s) and
THREE most representative publications.
For visitors, you should
demonstrate existing research exeriences
relavant to my research interests. I will only accept a limited
number of vistors to garantee we could have sufficient time to
work together. If you are interested in visiting my team, please
contact me for more details.
Note: For PhD applicants funded by
China Scholarship Council (CSC),
Swinburne could provide the tuition fee waiver and scholarhip top-up. Please contact
me for more details.