• SS2: Ambient Intelligence for Behavior Change

  Outline: This session deals with research and system related to a behavior change based on activity recognition. In particular, we focus on a kind of ambient intelligence, where the surrounding information system such as digital signage, robots, etc, affects our next behavior.
  Organizer:
  Yutaka Arakawa, Kyushu University, Japan
  Email: arakawa [ATmark] ait.kyushu-u.ac.jp
  Yuki Matsuda, Nara Institute of Science and Technology, Japan
  Email: yukimat [ATmark] is.naist.jp
  Yugo Nakamura, Nara Institute of Science and Technology, Japan
  Email: nakamura.yugo.ns0 [ATmark] is.naist.jp

• SS3: Artificial Intelligence, Sensing Technology, and Soft Computing

  Outline: THe session will cover the works relate to Artificial Intelligence, Sensing Technology, and Soft Computing.
  Organizer:
  Shinji Kawakura, The University of Tokyo, Japan
  Emais.kawakura [ATmark] gmail.com
  Emi Yuda, Tohoku University, Japan
  yuda [ATmark] ieee.org

• SS4: Acceleration for Deep Learning Models

  Outline: Implementation of deep learning models are computationally expensive and memory extensive. Deployment in low memory devices with slower GPU, and for applications that required strict latency is the current challenge.
  Organizer:
  Norliza Mohd Noor, SMIEEE, UTM, Malaysia
  Email: norliza [ATmark] utm.my

• SS5: Machine Learning in Medical Image Processing and Healthcare Application

  Outline: The emergence of visual data, machine learning algorithms, and advancement in clinical diagnosis has enabled significant breakthrough in vision and healthcare applications. This special issue focuses on medical data, machine learning methods, and applications in image processing, computer vision and related healthcare problems. we strongly encourage authors to submit their original contributions describing their conceptual, algorithmic, methodological, and applications.
  Specific topics of interest cover various facets of medical and health care system research, including but not limited to the following:
  Medical System, Heath Care System, Human Assist System, Assistive Technology for People with Disabilities, Medical and Health Data Processing, Surgery Support System, Medical Robotics, Medical and Health Data Mining, Medical and Health Big Data Analysis, Health Care System, Health Support System, Telemedicine/Telecare, Nursing system/Telenursing, Wellness support system, Cyberspace application on Medicine, Cyberspace application on Health Care, Cyberspace application on Human Assist, AI in Medicine, AI in Health Care, AI in Human Assist.
  Organizer:
  Saadia Binte Alam, University of Hyogo, Japan
  Email: saadiabinte [ATmark] ieee.org

• SS6: Deep Learning for Pattern Recognition

  Outline: Pattern recognition involves the automated identification and recognition of pattern and the detection of pattern irregularities. Deep learning is the current state-of-the-art machine learning algorithm that attempt to learn in multiple layers corresponding to different levels of abstraction to solve pattern recognition problems. The advantages of deep learning models are the capabilities to process large amount of data with very high accuracy.
  Organizer:
  Norliza Mohd Noor, SMIEEE, UTM, Malaysia
  Email: norliza [ATmark] utm.my

• SS7: Bioimage Informatics in Life Science

  Outline: This session will mainly focus on recent development of computational techniques to analyze biological images and model biological systems. We also welcome papers related to computational analysis of medical image data.
  Organizer:
  M. Julius Hossain, European Molecular Biology Laboratory (EMBL), Germany
  Email: julius.hossain [ATmark] embl.de
  M. Ali Akber Dewan, Athabasca University, Canada
  Email: adewan [ATmark] athabascau.ca

• SS8: Sensing, Computing and Actuating for Smart Urban Environments

  Outline: Sensors and actuators are leaving lab environments and enter the domestic, office, shopping, public, recreational and urban environments. These environments track human behavior, adapt to human behavior or persuade or enforce humans to adapt their behavior to the environment. In urban environments sensors and actuators can be designed in order to make such environments more efficient and manageable. Smart cities aim at using digital smartness to improve waste management, reduce energy consumption, increase safety, control traffic and improve public transport et cetera. Drones, delivery robots, and self-driving cars will complete the future urban landscape. Digital smartness obtained by sensors and actuators can also help to make a city more attractive by introducing entertaining applications and allowing game-like applications of such technology in the urban environment.
  In this special session, we ask for papers that address these issues. Papers can discuss scientific, engineering and societal issues related to applications made possible by introducing sensors, actuators and computer processing in urban environments.
  Organizer:
  Anton Nijholt, University of Twente, The Netherlands
  Email: a.nijholt [ATmark] utwente.nl
  Md Atiqur Rahman Ahad, Osaka University, Japan; Univerity of Dhaka, Bangladesh
  Email: atiqahad [ATmark] du.ac.bd

• SS9: Information Processing Techniques and the Applications

  Outline: In this era of information technology, we witness diverse applications of the same in different walks of life ranging from personal assistances to appliances for sophisticated healthcare. Several techniques have been applied including simple similarity-based or probabilistic decision making as well as recent deep learning-based methods. Researchers all over the world are continuously trying to improve the performances of such applications in terms of user experience, scalability issues, accuracy, etc. This special session welcomes submissions on recent advancements in such applications and/or algorithms.
  Organizer:
  M. Abdullah-Al-Wadud, King Saud University, Saudi Arabia
  Email: mwadud [ATmark] ksu.edu.sa

• SS10: Signal and Image Processing for UAVs, Drones, Self-driving Cars, and Robotics

  Outline: This special session will showcase recent advances on signal and image processing for UAVs, Drones, IoT, Autonomous Vehicles and Robotics. A special journal issue will be launched after the conference.
  Organizer:
  Chowdhury Shahriar, Northrop Grumman Corporations, USA
  Email: cshahria [ATmark] vt.edu

Call for Mini-Workshop (W) / Special Session (SS) / Tutorial Session (TS) Proposals

The aim of a W/SS/TS is to provide a complementary flavor to the regular sessions and should include hot topics of interest to the conference topics that may also go beyond disciplines traditionally represented at the conference.