Mobile and Wireless Sensing for Smart Healthcare

Call for Papers!

posted on April 12, 2022

As a technology which can assist precise treatment, remote patient monitoring, elderly health monitoring and so on, so as to reduce the medical burden and benefit long-term care, smart health care through mobile sensing has always drawn enormous attention. Such a trend will increase dramatically, since the number of people aged 65 or older becomes more and more in the near future in many countries. The evolution of smart health care through mobile sensing has also experienced a number of challenges including, users’ security and privacy problem, applicability in real scenario, communication among various devices, hetergenous data management and accurate prediction, poor scalability, and etc. Various theories, prediction models and sophisticated mechanisms have been proposed to deal with the problems of the smart health care. The recent advances in mobile sensing technologies, Internet of Things (IoT), and Artificial Intelligence (AI) have brought new opportunities in overcoming the challenges of health care. However, towards mobile sensing with more secure, more real-time, more scalable, more applicable and more accurate smart health care, we still have a long way to go.

We believe that future mobile sensing will closely fuse with 5th Generation (5G) and Beyond-5G technologies, comprehensive fusion between crowd sourcing, AI, and trustworthy mobile sensing. Thus, the future mobile sensing also need to solve a lot of emerging research issues, such as the privacy and security of user data, behavior monitoring based on hetergenous data, precise prediction, real-time mechanisms, and etc. Once the smart health care technology becomes more intelligent, more secure, more real-time, more scalable, more applicable and more accurate in the future, it will spark more blue-sky thinking, and innovative ideas that can improve the future mobile sensing technologies to another level with strong application guarantee.

Thereby, the goal of this workshop is to bring together researchers and experts from academia and industry to discuss and promote the research and development needed to overcome the major challenges that pertain to this research direction with strong application potential. The scope of this workshop includes but not limited to the following topics.

  1. AI-powered Smart Health Care
  2. Data Collection and Fusion on Hetergenous Mobile Sensing Data
  3. Health Care Models for Future Wireless Sensing
  4. Scalable and Secure Mechanisms Health Care Systems
  5. Data Analytics to Human Behaviours for Future Wireless Sensing
  6. Security and Privacy Issues in Health Care Intelligence
  7. Healthcare System Design and Deployment
  8. Privacy/Security/Access Control Protocols
  9. Design and Implenentation of Portable Healthcare Devices
  10. Proof-of-Concept Smart Health Care for Future Mobile Sensing: Experimental Prototyping and Testbeds
  11. COVID-19-related Data Analysis in Smart City

The workshop will feature two keynote speeches given by world leading researchers in the field. The workshop accepts only original and previously unpublished papers. All submissions must be formatted in standard ACM conference proceedings format (two-column, 10pt format). The maximum number of printed pages is six including figures. Papers must include the author names and affiliations for single-blind peer reviewing by the program committee. Authors of accepted papers are expected to present their papers at the workshop. Accepted papers will be published in the ACM mmNets proceedings and will be archived in the ACM Digital Library.

Important Dates!

Paper Submission Deadline: June 20, 2022 July 7, 2022

Notification of Acceptance: July 20, 2022 August 5, 2022

Camera Ready: August 12, 2022

Workshop Date: October 21, 2022

* All paper submissions will be handled electronically at the MobiCom'22 paper submission website. Authors should prepare a PDF version of their full paper.

Keynote Speakers


Jie Liu is a Chair Professor at Harbin Institute of Technology Shenzhen (HIT Shenzhen), China and the Dean of its AI Research Institute. Before joining HIT, he spent 18 years at Xerox PARC and Microsoft. He was a Principal Research Manager at Microsoft Research and a partner of the company. His research interests are sensor networks, AI for IoT, and energy efficient computing. He is the Steering Committee Chair for Cyber-Physical Systems and Internet of Things Week (CPS-IoT Week), Steering Committee Chair for ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN). He received IEEE TCCPS Distinguished Leadership Award and 6 Best Paper Awards from top conferences. He is an IEEE Fellow and an ACM Distinguished Scientist.


Dr. Tao Gu is currently a Professor in School of Computing at Macquarie University, Sydney. He obtained my Ph.D. in Computer Science from National University of Singapore, M.Sc. in Electrical and Electronic Engineering from Nanyang Technological University, and B.Eng. in Automatic Control from Huazhong University of Science and Technology. He is currently serving as an Editor of Proc. of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), an Associate Editor of IEEE Transactions on Mobile Computing (TMC) and IEEE Internet of Things Journal (IoT-J).The long-term goal of his research aims to discover innovative ways of sensing and connecting the physical world, and embedding AI intelligence to facilitate the building of new applications. His current research interests include Internet of Things, Ubiquitous Computing, Mobile Computing, Embedded AI, Wireless Sensor Networks, and Big Data Analytics.

Jie Liu

Tao Gu

IEEE Fellow, ACM Distinguished Scientist

Professor
Macquarie University

Harbin Institute of Technology Shenzhen

Australia

China

Organizing Committee

TPC Chair

Dian Zhang

Lei Yang

Shenzhen University

Hong Kong Polytechnic University

Shenzhen, China

Hong Kong

Haoran Xie

Landu Jiang

Lingnan University

Shenzhen University

Hong Kong

Shenzhen, China

Workshop Organizing

Dian Zhang

Lei Yang

Shenzhen University

Hong Kong Polytechnic University

Shenzhen, China

Hong Kong

Landu Jiang

Shenzhen University

Shenzhen, China

Advisory Committee

Jiannong Cao

Qian Zhang

Hong Kong Polytechnic University

Hong Kong University of Science and Technology

Hong Kong

Hong Kong

Matt Mutka

Tao Gu

Michigan State University

Macquarie University

USA

Australia

Publicity Co-Chairs

Yong Xiao

Lu Wang

Huazhong University of Science and Technology

Shenzhen University

Wuhan, China

Shenzhen, China

Jiang Xiao

Huazhong University of Science and Technology

Wuhan, China

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