Sections in SN Computer Science
- Emerging Trends in Sensors, IoT and Smart Systems
- Himanshu Thapliyal, University of Kentucky, USA
- Saraju P. Mohanty, University of North Texas, USA
About the Section: The section includes multidisciplinary research and development in enabling technologies of smart systems (sensors, energy harvesting, Internet of Things, data analytics and machine learning). Accordingly, scope encompasses hardware and software design of energy-efficient, secure, and robust sensors, edge computing, cloud computing, wearable devices, Internet of Things, smart systems, and Cyber-Physical Systems (CPS). This section will be of interest to professionals from engineering, computer science, physics, chemistry, biomedical, medicine and health sciences. It accepts reviews and research articles in three tracks:
2) Internet of Things (IOT)
3) Smart Systems
Upcoming Topical Issues
1. Technologies and Components for Smart Cities
2. Hardware-Assisted Security Solutions for Electronic Systems
- AI and Ethics
- Larry Medsker, Research Professor, The George Washington University (GWU), Washington, United States
- John Macintyre, Professor of Adaptive Systems and Pro Vice Chancellor (International), the University of Sunderland, USA
About the Section: The AI & Ethics section focuses on how AI techniques, tools, and technologies are developing, including consideration of where these developments may lead in the future. It seeks to promote informed debate and discussion of the current and future developments in AI, and the ethical, moral, regulatory, and policy implications that arise from these developments.
The section provides opportunities for academics, scientists, practitioners, policy makers, and the public to consider how AI might affect our lives in the future, and what implications, benefits, and risks might emerge.
The section covers a broad range of issues relating to AI, including (but not limited to):
- The moral questions which arise from basic research and the design and use of practical applications of AI
- The need for greater public understanding of AI, including the benefits and risks AI developments may bring
- The need for regulatory frameworks and guidelines, including self-regulation and constraints, and controls on development and implementation of AI technologies
- Emergent public policy and the possibility of legislative interventions linked to current and future ethical issues related to the use of AI technologies and their applications.