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.