The First International Workshop on Artificial Intelligence of Things for Healthcare

Call for Paper

*This workshop is in conjunction with the 22nd IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology ( WI-IAT 2023 ) held on October 26 to 29.

The use of IoT has seen an increase in health care, particularly in nursing, chronic disease patient monitoring, remote patient monitoring, and epidemic monitoring. Recognising the key role of IoT can further play in healthcare, this workshop intends providing a platform to discuss the current and future challenges on integrating AI on wearable devices and IoT applications for healthcare.

*The workshop will discuss human health monitoring and explore the new applications on wearable sensors with an emphasis on how AI can be efficiently used on the emerging need and challenge -- dynamic, continuous & long-term individual health monitoring and mental health detection during pandemic, aiming to provide state-of-the-art solutions at the interface between web, devices, and clinical application & individual benefit, between signal analysis, storage of continuous data emerging from IoT devices, mobile data, and data privacy and security.

SCOPES AND TOPICS but not limited to:

  • AI Algorithms
  • AI-based on Wearable devices applications
  • AI-based Security and Privacy
  • Sustainable IoT under Federated Learning
  • Mobile data mining
  • IoT Solutions for Healthcare
  • Wearable health diagnosis and monitor


Important Dates

  • July 2, 2023: Deadline extend to 5 Aug, 2023: for full paper submission
  • July 9, 2023: Early Registration Opens
  • July 30, 2023: Paper Acceptance Notification (Main Conference + Workshops)
  • August 15, 2023: Early Registration Closes
  • September 1, 2023: Deadline extend to 25 Aug, 2023: Deadline for submission of camera-ready versions
  • October 26, 2023: The day of our workshop

Paper Submission

Papers must be submitted electronically in standard IEEE Conference Proceedings format (max 8 pages including references, Article Templates at ../conferences/templates). Industry and Demo papers must specify "industry" or "demo" in their title, and they are limited to 4 pages including references.


Submitted papers will undergo a peer review process, coordinated by the International Program Committee. Accepted papers will be published in the conference proceedings by IEEE and submitted to EI. Selected WI-IAT '23 papers will be further invited for expansion and publication in Web Intelligence journal and other international journals.


The hybrid workshop will take place on October 26, 2023 at Venice, Italy and both online:

keynote Speaker

Professor Wei Xiang

Professor Wei Xiang is Cisco Research Chair of AI and IoT and Director of the Cisco-La Trobe Centre for AI and IoT at La Trobe University. Previously, he was Foundation Chair and Head of Discipline of IoT Engineering at James Cook University, Cairns, Australia. Due to his instrumental leadership in establishing Australia’s first accredited Internet of Things Engineering degree program, he was inducted into Pearcy Foundation’s Hall of Fame in October 2018. He is an elected Fellow of the IET in UK and Engineers Australia. He received the TNQ Innovation Award in 2016, and Pearcey Entrepreneurship Award in 2017, and Engineers Australia Cairns Engineer of the Year in 2017. He was a co-recipient of four Best Paper Awards at WiSATS’2019, WCSP’2015, IEEE WCNC’2011, and ICWMC’2009. He has been awarded several prestigious fellowship titles. He was named a Queensland International Fellow (2010-2011) by the Queensland Government of Australia, an Endeavour Research Fellow (2012-2013) by the Commonwealth Government of Australia, a Smart Futures Fellow (2012-2015) by the Queensland Government of Australia, and a JSPS Invitational Fellow jointly by the Australian Academy of Science and Japanese Society for Promotion of Science (2014-2015). He was the Vice Chair of the IEEE Northern Australia Section from 2016-2020. He was an Editor for IEEE Communications Letters (2015-2017), and is currently an Associate Editor for IEEE Communications Surveys & Tutorials, IEEE Internet of Things Journal, IEEE Access, and Nature journal of Scientific Reports. He has published over 250 peer-reviewed papers including 3 books and 200 journal articles. He has severed in a large number of international conferences in the capacity of General Co-Chair, TPC Co-Chair, Symposium Chair, etc. His research interest includes the Internet of Things, wireless communications, machine learning for IoT data analytics, and computer vision.
Topic: When Artificial Intelligence Meets the Internet of Things: Motivations, Challenges, and Applications
Abstract: Artificial Intelligence of Things (AIoT) is a newly emerging technology that combines IoT and AI technologies to enable decision making and analytics at IoT devices. IoT enables networks of physical objects that are equipped with sensors, software, and other technologies to exchange data with other devices and systems over the internet, while AI enables data analytics and automated decision making. This talk will start with the motivations of combining AI and IoT technologies as well as the associated challenges. Then Prof. Wei Xiang will talk about his experience in setting up Australia’s first accredited IoT Engineering program at James Cook University, as well as establishing Australia’s only industry-sponsored research centre that specialises in synergizing between AI and IoT technologies at La Trobe University. Before concluding the talk, Prof. Wei Xiang will talk about a wide range of applications and use cases his AIoT Centre has been working on in Australia.

General Chairs

Dr. Guohun Zhu

Prof. Raj Gururajan

A/Prof. Fei Yan

Dr. Guohun (Tony) Zhu is an Advance Queensland Industry Research Fellow who apply wearable devices and graph machine learning tools to study brain functions. Prof. Raj Gururajan is a professor of Information Systems at the University of Southern Queensland and comes with over 20 years of experience in Health Informatics. His current research focuses on AI, IoT, Chronic Disease and Mental Health prediction models, and Systems Assessment applicable to both public and private healthcare agencies. A/Prof. Fei Yan is an associate professor at the School of Computer Science and Technology, Changchun University of Science and Technology, China. His research interests include computational intelligence, quantum computing, and medical image analysis.

Program Committee

  • Deepak Sharma, IIT Roorkee, India
  • Eric Wang, James Cook University, Australia
  • Floyd Leedie, Goondir Health, Australia
  • KC Chan, University of Southern Queensland, Australia
  • Lemai Nguyen, Deakin University, Australia
  • Niall Higginns, Queensland Health, Australia
  • Paul Penumala, NCACCH, Australia
  • Vaishnavi Moorthy, School of Computing, SRM Institute of Science & Technology, India
  • Xue Li, University of Queensland, Australia
  • Yaping Dai, Beijing Institute of Technology, China.
  • Yongdong Wu, Jinan University, China
  • Yubin Wang, Wright Brothers Flight Technology, Netherlands


Contact Information

For any inquiry, contact us by email at: (Guohun Zhu)