MDM 2021 Workshops

Apart from the PhD Forum, a number of workshops will be available. A short description fellows of each follow, and more details are provided in each workshop's website.


1st Workshop on Mobile Sensing for Human Activity Recognition (MobiHAR)

The pervasive availability of sensors embedded in our mobile devices such as phones, watches, and wristbands, makes it possible to continuously collect sensor data and analyse people’s daily routines. Indeed, inertial sensors (e.g., accelerometer), GPS, luminosity sensors and other sensors in our mobile devices can be used to continuously monitor the activities that humans perform in their daily life. Human Activity Recognition (HAR) has been deeply investigated in the last decades, enabling several important applications, like health-care and well-being.

HAR is typically tackled with supervised machine learning approaches, and several benchmark datasets are publicly available to evaluate new methods.

However, there are still several research challenges that limit the deployment of HAR systems in-the-wild. These challenges include the lack of high-quality labelled data, online and continuous activity learning, discovery of new activities, and the privacy issues associated with sensitive data of HAR systems.

This workshop’s aim is to discuss the state of the art in HAR and to identify the open challenges of mobile sensing systems. The goal is to identify concepts, theories and methods applicable to HAR, novel mobile sensing technologies and applications, and system-oriented issues related to the design and implementation of HAR systems.

Organizers:

  • Gabriele Civitarese, EveryWare Lab, University of Milan, Italy
  • Juan Ye, University of St Andrews, Scotland

3rd Series of International Workshop on Building Software Services in Smart City through Edge-to-Cloud orchestration (3SCity-E2C)

This workshop provides a forum to discuss the theoretical foundations and original technical contributions of developing software services and their related "resource management mechanism for software service execution in large-scale IoT networks of smart cities." This workshop will also highlight how intelligent resource management mechanisms can create through "Predictive and Learning Approaches based on distributed-to-centralized (D2C-ML&AI)" in multilevel ICT architecture of large-scale IoT networks of smart cities.We are interested in novel proposals based on Edge-to-Cloud computing solutions by bringing together industry, academia, engineers, and researchers. Proposals can contribute to all different domains of the Smart Cities (such as transportation, healthcare, energy, and grid) as well as different data analysis scopes (such as cybersecurity challenges and solutions for threat and attack detection, and resource allocation and consumption). However, our special ICT theme for this year is "intelligent resource management mechanism orchestration."

Also, our special business domain themes are i) "digital Twins for smart building, energy management system (EMS), and neighborhoods," and our particular interest focuses on "reducing end-use energy demand in building and neighborhoods;" ii) "connected cars and vehicular network solutions."

Organizers:

  • Amir Sinaeepourfard, Norwegian University of Science and Technology, Norway
  • Souvik Sengupta, Fundació i2CAT, Spain
  • Shehenaz Shaik, Auburn University, AL, USA
  • Phu H. Nguyen, Secure IoT Software group, SINTEF, Norway
  • Vitor Barbosa Souza, Federal University of Viçosa, Brazil
  • Antonio Salis, Engineering Sardegna, Italy