1st Workshop on Internet of Things for Sustainability Development
Track ID: Work-10
IoT devices are widely deployed in various systems and architecture for sustainability development. One of the application is using IoT devices to monitor the energy consumption and reduce the power usage. However, adding more IoT devices may result in consuming more energy. This workshop aims to understand the current implementation and challenge of sustainability development and how IoT devices can help to improve the field. Description of the Workshop Proposal o Objectives and motivation o Novelty, highlighting the technical innovations presented in this Workshop o Workshop content, indicating the topics that the Workshop will cover in detail.
This workshop is mainly focus on the sustainability requirements which IoT devices can play an important role in. For example, smart energy system and utilities relies sensors for measuring the power usage and reduce the consumption when not in use.
The workshop aims to address but not limit to the following:
- IoT in sustainability development
- Power and energy management of IoT
- IoT-based environmental monitoring
- Sustainable IoT devices
- Green Computing in IoT
- IoT devices to reduce carbon footprint
Researchers and Industry partner who are interested in Internet of Things for sustainability development.
Paper Submission Deadline
- Deadline for Paper Submissions: July 30th, 2023
- Acceptance Notification: September 8th, 2023
- Deadline for Camera-Ready Paper Submissions: September 29th, 2023
- Deadline for Presentation Submissions: October 2nd, 2023
Papers should be six (6) pages in length and follow the instruction provided for the main Conference. The conference allows up to two additional pages for a maximum length of eight (8) pages with payment of extra page charges once the paper has been accepted.
Please submit your paper for this Workshop using the link to eWorks:
Call For Papers:
If you have any questions, please contact Dr. Raymond Chan: firstname.lastname@example.org
Ching Bon Chan: Singapore Institute of Technology
Dr. Raymond Chan specializes in cybersecurity, digital forensics, critical infrastructure protection, cyber-physical system, secure software development, and privacy-preserving model. He published many papers related to digital forensics, and critical infrastructure protection. He has more than ten years of experience developing software systems for government-funded projects in Hong Kong. Currently, he is an Assistant professor at the Singapore Institute of Technology and the vice-chair of IFIP Working Group 11.10 on Critical Infrastructure Protection. He has the experience to conduct vulnerability assessment and penetration testing, digital forensic investigation, and provide security solutions for software systems. Recently, he is working on integrating Building Management System with IoT devices for energy management and suitability smart building control system.
Sye Loong Keoh: University of Glasgow
Sye-Loong Keoh is an Associate Professor in the School of Computing Science, University of Glasgow (UofG, Singapore campus). He is currently the Director of Research Programmes in UofG Singapore. He holds a Ph.D. in Computing from Imperial College London. Prior to joining Glasgow, he was a Senior Scientist at Philips Research Eindhoven, The Netherlands (Philips Lighting is now known as Signify). His areas of expertise include cyber security for Internet of Things (IoT), lightweight security systems for cyber-physical systems, and policy-based security management for pervasive and distributed systems. He leads the cyber-security research activities in UofG Singapore where he has designed several lightweight authentication protocols and key management schemes for IoT, building management and industrial control systems. More recently, he is researching on new techniques for securing end-to-end communication and ensuring data provenance in IoT environment. While working at Philips Research, he was responsible for standardizing Marlin Digital Rights Management (DRM) technology for content protection, and lightweight security protocols for Philips’s IoT-based lighting systems.
Kar Peo Yar: Singapore Institute of Technology
A practioner in wireless communications, mathematics and data science. Using data science to solve world's problem.
Wei Zhang: Singapore Institute of Technology
Dr. Wei ZHANG is currently an Assistant Professor with the Information and Communications Technology Cluster, Singapore Institute of Technology (SIT). Before joining SIT, he was a Scientist at the Agency for Science, Technology, and Research (A*STAR), Singapore. From 2015 to 2017, he was a Research Fellow at NTU, Singapore. Dr. Zhang received the B.Sc. degree in electronic information science and technology from the School of Science, Xidian University, Xi’an, China, in 2008, the M.Eng. degree in circuits and system from the School of Electronic Engineering, Xidian University in 2011, and the Ph.D. degree in computer science from the School of Computer Science and Engineering, Nanyang Technological University (NTU), Singapore, in 2015. Dr. Zhang serves as the Programme Leader of the Bachelor of Science with Honours in Computing Science programme. He also serves as an Associate Editor for the IEEE Internet of Things Journal (IoT-J) as well as the Area Chair, Track Chair, Review Committee Member, and TPC members of the top conferences such as IJCAI, GLOBECOM, and ICME. His research interests lie in utilizing artificial intelligence (AI) for smart cities, especially smart grid and smart buildings, towards improved user experience and enhanced sustainability.
Muhamed Fauzi Bin Abbas: Singapore Institute of Technology