Prof. Ljiljana Trajkovic, Simon Fraser University, Canada, IEEE
Fellow
Ljiljana Trajkovic received the Dipl. Ing. degree from University of Pristina,
Yugoslavia, the M.Sc. degrees in electrical engineering and computer engineering
from Syracuse University, Syracuse, NY, and the Ph.D. degree in electrical
engineering from University of California at Los Angeles. She is currently a
professor in the School of Engineering Science, Simon Fraser University,
Burnaby, British Columbia, Canada. Her research interests include communication
networks and dynamical systems. She served as IEEE Division X Delegate/Director
and President of the IEEE Systems, Man, and Cybernetics Society and the IEEE
Circuits and Systems Society. Dr. Trajkovic serves as Editor-in-Chief of the
IEEE Transactions on Human-Machine Systems and Associate Editor-in-Chief of the
IEEE Open Journal of Systems Engineering. She is a Distinguished Lecturer of the
IEEE Circuits and System Society and the IEEE Systems, Man, and Cybernetics
Society and a Fellow of the IEEE.
Prof. Junfeng Yang, Nanjing University, China
Prof Xiaodong Liu, FHEA Edinburgh Napier University,UK
Prof Xiaodong Liu has been very active in the research in AI-driven software
engineering, focusing on pervasive systems (Internet of Things),
service-oriented architecture, evolution of cloud services, and
intelligence-driven smart systems. He has won 12 external grants and
successfully led or leading these externally funded projects with the role of
principal investigator. Currently Prof Liu leads the Intelligence-Driven
Software Engineering Research Group. He is the founder a spin out company,
FlexiCAGE Ltd. He has published 150 papers in refereed international journals
and conferences and 5 book chapters. He is the inventor of 1 patent in
Generative Component Adaptation registered in UK, USA and at International Level
(PCT). He has been the chair, co-chair or PC member of a number of IEEE and
IASTED International Conferences. He is the associate editor of 2 international
journals and the editorial board member of 3 international journals. He is the
chief editor of 3 IGI Global Research Handbooks. He is the regular reviewer of
other 6 international journals. He is a senior member of IEEE Computer Society,
and a member of British Computer Society.
Prof. Zhao Zhang, Hefei University of Technology, China
Dr. Zhao Zhang is a Full Professor at the School of Computer and Information,
Hefei University of Technology, Hefei, China. I received the PhD degree from the
City University of Hong Kong, supervised by Prof. Tommy W.S. Chow (IEEE Fellow),
in 2013. During my PhD study, I visited the National University of Singapore,
working with Prof. Shuicheng Yan (ACM/AAAI/IEEE/SAEng/ IAPR Fellow), from Feb to
May 2012. I also visited the Chinese Academy of Sciences, working with Prof.
Cheng-Lin Liu (IEEE/IAPR Fellow), from Sep to Dec 2012. My research interests
include Machine Learning, Data Mining and Computer Vision. I have
authored/co-authored over 80 technical papers published at prestigious journals
and conferences, including 39 IJCV or IEEE/ACM Transactions regular papers
(e.g., IEEE TIP, IEEE TKDE, IEEE TNNLS, IEEE TCYB, IEEE TSP, IEEE TCSVT, IEEE
TMM and ACM TOMM) and 20+ Top conference papers (e.g., CVPR, ACM MM, AAAI, IJCAI
and ICDM), with Google Scholar citations over 3,600 times and H-index 36. I am
serving/served as an Associate Editor (AE) of IEEE Transactions on Image
Processing (IEEE TIP), Pattern Recognition (PR) and Neural Networks (NN).
Besides, I have been serving as a SPC member/Area Chair of ACM MM, AAAI, IJCAI,
SDM and BMVC. I am now a Senior Member of the IEEE and CCF. Personal homepage:
https://sites.google.com/site/cszzhang.
Prof. Su-Cheng Haw, Multimedia University, Malaysia
Su-Cheng Haw is a Professor at Faculty of Computing and Informatics, Multimedia
University, where she leads several funded research. She is the research center
chairperson of Center for Web Engineering (CWE), which is multidisciplinary and
encompasses diversify research from modeling and tools, implementation, testing
and evaluation, and application in the areas such as Databases and Information
Retrieval, Service Oriented Computing, IoT, e-Learning, and Statistical
Analysis. In addition, she is also the Editor-in-Chief of Journal of Informatics
and Web Engineering (JIWE).
Her research interests include XML databases, data warehousing, semantic
web & ontology, data modeling, and recommender system. She has published around
120 articles in reputable journals and conferences. She serves in several
editorial boards and participated as technical committee member and reviewer
boards for several international conferences and journals. Besides, she also
received several ad-hoc invitations to review journal/conference articles. She
is currently a member of IEEE and MBOT professional membership.
Homepage: https://mmuexpert.mmu.edu.my/sucheng
Assoc. Prof. Lihong Zheng, Charles Sturt University, Australia
A/Prof Lihong Zheng is with the School of Computing, Maths and Engineering,
Charles Sturt University (CSU). She has broad expertise spanning from Artificial
Intelligence and Image Processing, and data analytics, to Robotics, Wireless
Sensor Networks, Internet of Things (IoT) and Edge computing. Dr. Zheng's
research focus is to design, model, develop or apply image processing, computer
vision, computational intelligence, machine learning techniques, wireless sensor
networks, and the Internet of Things (IoT) toward solving real-world problems in
various domains, including agriculture, viticulture, and the environment. She
has secured $7.4 million industry grants successfully in last 5 years. She has
supervised 10 doctoral students to completion. She was a national winner of the
Academia Award as part of the Women in IT Awards, Cisco in 2019, She also
received Faculty Research Awards in 2021. She has contributed to an increased
public awareness of STEM skills through promoting, organising and mentoring a
variety of national and international events and competitions. She led a CSU
team who won a Runner-up award in the Internet of Things (IoT) Spartans
Challenge 2017, among 250 universities globally. Leading a research group of
Imaging& Sensing, A/Prof. Lihong Zheng is conducting collaborative research in a
multi-discipline team to provide innovative machine learning and image
processing solutions to real applications. In addition to her active
contribution to the research field of machine learning, computer vision,
robotics, and biometrics identification through high-quality publications,
A/Prof. Lihong Zheng is actively serving the various IEEE committees by
organising international conferences and serving as an invited advisory
committee member and session chairs, the editorial advisory board of journals,
and frequently reviewing papers for international journals and conferences.
Assoc. Prof. Min Li, Nanjing University, China
Dr. Ali Yavari, Swinburne University of Technology, Australia
Ali is a Senior Research Fellow at Department of Computing Technologies. He has
received his Master of Science degree in Communication Systems from KTH Royal
Institute of Technology - Sweden and his Ph.D. from School of Computer Science
and Information Technology at Royal Melbourne Institute of Technology (RMIT) -
Australia. Ali had been with Digital Productivity Flagship and Data61 at CSIRO.
Prior to joining RMIT, he worked as Research Engineer at KTH University's Mobile
Service Lab and Communication Systems Department.
As lead/co chief investigator, he has significantly contributed to several
European and Australian research and development projects supported by external
research funding from industry collaborators or/and government. These projects
were mostly collaborative with large companies and organisations including, but
not limited to, EIT ICT Lab, Wireless@KTH, TeliaSonera, Vinnova, Ericsson, Asahi
Beverages, Optus, Telstra, Software AG, Australian Meat Processor Corporation,
and Siemens. Moreover, he has been working for more than a decade in IT industry
as project manager, solution designer, and software developer for aviation,
bank, and IT companies in several countries.
Ali serves as program committee member and designated reviewer in several
international conferences and workshops. He had served as a committee member in
Computer Society Chapter at IEEE Victorian Section. He is also a member of the
Association for Computing Machinery (ACM) and Senior Member of the Institute of
Electrical and Electronics Engineers (IEEE).
Ali has received several prestigious awards such as Victoria Fellowship in
Physical Sciences from the Victoria State Government.
Dr. Ashkan Ebadi, National Research Council Canada, Canada
Dr. Ashkan Ebadi is a multidisciplinary applied data science researcher with
expertise in artificial intelligence (AI), machine learning, deep learning, and
graph analytics. He received his Ph.D. in information systems engineering with
an emphasis on AI-based decision support systems. He also carried out a two-year
postdoctoral fellowship in health informatics at the University of Florida
(USA). He is currently a Senior Research Officer at the National Research
Council Canada (NRC), the government of Canada’s largest research organization,
an Adjunct Assistant Professor at the University of Waterloo (Canada), an
Affiliate Assistant Professor at Concordia University (Canada), and a Senior
Member of the Institute of Electrical and Electronics Engineers (IEEE)
organization. Dr. Ebadi has intensive academic and industrial experience in the
design and implementation of data-driven solutions. In addition to his academic
experience, his 12+ years of professional industry experience covers the entire
life-cycle of the data science pipeline, from (business) problem definition to
scalable big data analytics applications. His research aims to leverage advanced
analytics and machine learning to solve complex real-life problems in various
domains where he is currently working on 1) the development of scalable and
intelligent decision support systems, 2) hybrid recommender systems, and 3)
hypergraphs analytics and evolution. Dr. Ebadi has an active publication record
in high-impact journals and prestigious conferences and has so far published
over 80 publications. His findings have also attracted the attention of the
media, being mentioned in magazines and news agencies such as Times Higher
Education. He has been actively providing professional services to the
scientific community through delivering talks and holding workshops about data
science, reviewing scientific publications, and serving as a committee member at
various conferences as well as grant evaluation events.
Asst. Prof. Wenbin Zhang, Carnegie Mellon University, USA
Dr. Wenbin Zhang is an Assistant Professor at the Department of Computer Science
at Michigan Technological University, and an Associate Member at the Te Ipu o te
Mahara Artificial Intelligence Institute. Previously, he was a Postdoctoral
Associate at Carnegie Mellon University after receiving his Ph.D. from the
University of Maryland, Baltimore County, and has been a visiting researcher at
various global research centers and institutions. His research investigates the
theoretical foundations of machine learning with a focus on societal impact and
welfare. Other interests include deep generative models and health informatics
with an academic track record across computer science and interdisciplinary
venues, such as IJCAI, ICDM, AAAI, SDM, Climate Dynamics as well as Radiotherapy
and Oncology.