Victor Chang – författare

Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19 discusses how the role of recent technologies applied to health settings can help fight virus outbreaks. Moreover, it provides guidelines on how governments and institutions should prepare and quickly respond to drastic situations using technology to support their communities in order to maintain life and functional as efficiently as possible. The book discusses topics such as AI-driven histopathology analysis for COVID-19 diagnosis, bioinformatics for subtype rational drug design, deep learning-based treatment evaluation and outcome prediction, sensor informatics for monitoring infected patients, and machine learning for tracking and prediction models.

In addition, the book presents AI solutions for hospital management during an epidemic or pandemic, along with real-world solutions and case studies of successful measures to support different types of communities. This is a valuable source for medical informaticians, bioinformaticians, clinicians and other healthcare workers and researchers who are interested in learning more on how recently developed technologies can help us fight and minimize the effects of global pandemics.

This book constitutes the refereed post-conference proceedings of the Interdisciplinary Workshop on Trust, Identity, Privacy, and Security in the Digital Economy, DETIPS 2020; the First International Workshop on Dependability and Safety of Emerging Cloud and Fog Systems, DeSECSys 2020; Third International Workshop on Multimedia Privacy and Security, MPS 2020; and the Second Workshop on Security, Privacy, Organizations, and Systems Engineering, SPOSE 2020; held in Guildford, UK, in September 2020, in conjunction with the 25th European Symposium on Research in Computer Security, ESORICS 2020.

A total of 42 papers was submitted. For the DETIPS Workshop 8 regular papers were selected for presentation. Topics of interest address various aspect of the core areas in relation to digital economy.

For the DeSECSys Workshop 4 regular papers are included. The workshop had the objective of fostering collaboration and discussion among cyber-security researchers and practitioners to discuss the various facets and trade-o s of cyber security. In particular, applications, opportunities and possible shortcomings of novel security technologies and their integration in emerging application domains.

For the MPS Workshop 4 regular papers are presented which cover topics related to the security and privacy of multimedia systems of Internet-based video conferencing systems (e.g., Zoom, Microsoft Teams, Google Meet), online chatrooms (e.g., Slack), as well as other services to support telework capabilities.

This Springer book provides a perfect platform to submit chapters that discuss the prospective developments and innovative ideas in artificial intelligence and machine learning techniques in the diagnosis of COVID-19.

COVID-19 is a huge challenge to humanity and the medical sciences. So far as of today, we have been unable to find a medical solution (Vaccine). However, globally, we are still managing the use of technology for our work, communications, analytics, and predictions with the use of advancement in data science, communication technologies (5G & Internet), and AI. Therefore, we might be able to continue and live safely with the use of research in advancements in data science, AI, machine learning, mobile apps, etc., until we can find a medical solution such as a vaccine.

We have selected eleven chapters after the vigorous review process. Each chapter has demonstrated the research contributions and research novelty. Each group of authors must fulfill strict requirements.

This book is a collection of selected papers presented at the First International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC), held as an online conference due to COVID-19 (initially to be held in Macao, Special Administration Region (SAR) of China), during September 15–17, 2020. It includes novel and innovative work from experts, practitioners, scientists and decision-makers from academia and industry. It brings multi-disciplines together on IIoT, data science, cloud computing, software engineering approaches to design, development, testing and quality of products and services.