Call for Book Chapters on Intelligent Transformative Technologies

*Call for Book Chapters for the Springer-Verlag Handbook:***

*“Intelligent Transformative Technologies”***

*(covered by Scopus)*

*/Editors/*

*Athina Bourdena, Hellenic Mediterranean University, Greece*

*Constandinos X. Mavromoustakis, University of Nicosia, Cyprus*

*Evangelos K. Markakis, Hellenic Mediterranean University, Greece*

*George Mastorakis, Hellenic Mediterranean University, Greece*

Integration of intelligent technologies across industries has become 
increasingly transformative, with AI, big data, and advanced networking 
at the forefront of this revolution. These technologies have the 
potential to reshape industries by enhancing decision-making processes, 
optimizing operations and enabling new forms of innovation. From 
improving organizational efficiency to driving forward breakthroughs in 
personalized services, intelligent technologies offer a wide range of 
benefits that are crucial for businesses and organizations worldwide. 
One of the most promising areas of intelligent technologies is AI-driven 
decision making. AI has shown great potential in transforming how 
businesses operate by providing real-time insights, predictive 
capabilities and automating complex processes. Machine learning models 
and advanced algorithms can identify patterns in vast data sets, 
enabling businesses to anticipate market changes, optimize logistics and 
create more efficient supply chains. These advancements not only 
increase profitability but also allow for the creation of more 
customer-centric services.

Another significant area where intelligent technologies are having an 
impact is in big data analytics for real-time insights. Big data 
analytics enable organizations to process and analyze large volumes of 
information at unprecedented speeds, providing insights that can be 
acted upon almost immediately. From smart cities monitoring urban 
dynamics to healthcare systems predicting disease outbreaks, the ability 
to leverage big data in real-time has become an essential asset for 
decision-makers. The emergence of edge computing in combination with AI 
is also paving the way for more efficient data processing closer to the 
source. This approach reduces latency and improves the performance of 
applications like IoT systems, autonomous vehicles and smart grids. The 
book delves into how edge AI, combined with technologies like 6G, is 
transforming industries by enabling decentralized decision-making and 
faster responses to data-intensive tasks. Blockchain technology, when 
integrated with AI, is also revolutionizing industries such as finance 
and supply chain management. This integration enhances security, 
transparency, and accountability in business processes. In the field of 
natural language processing (NLP) and conversational AI, the 
advancements have been remarkable. With applications spanning from 
virtual assistants to automated customer service systems, NLP has become 
a critical technology in improving human-computer interaction. Machine 
learning models have made significant strides in understanding and 
generating human language, enabling businesses to offer more 
personalized and intuitive interactions with their users.

Sections of interest include but are /_not limited_/ to:

/Section I — Introduction to Intelligent Transformative Technologies/

/Section II — AI Architectures and Intelligent Systems for Industry 
Transformation/

/Section III— Big Data Analytics and Real-Time Insights/

/Section IV— Edge Computing and Intelligent IoT Networks/

/Section V— Blockchain and AI Integration for Enhanced Security/

/Section VI— AI Applications in Healthcare and Personalized Medicine/

/Section VII— 6G Networks and Smart Cities: The Role of AI/

/Section VIII— AI-Enabled and Autonomous Systems/

/We strongly welcome _other topic suggestions_//./


    _Schedule & Deadlines_

·*_15^th February 2025_*
Full chapter submission via e-mail: gmastorakis@hmu.gr 
<mailto:gmastorakis@hmu.gr>

·*_15^th March 2025_*
Review comments

·*_15^th April 2025_*
Submission of the revised version

·*_30^th April 2025 _*
Final acceptance notification

·*_15^th May 2025_**__*
Final manuscript


    _Manuscript Preparation_

  * Please follow the manuscript formatting guidelines below and submit
    the original version (in */Microsoft word/*) and or */LaTex/* format
    as per the guidelines
    (URL:https://www.springer.com/us/authors-editors/book-authors-editors/your-publication-journey/manuscript-preparation).
  * Each final manuscript should be about 25-35 pages long (formatted).
    Depending on the number of submissions, longer manuscripts will also
    be accepted.
  * Submit your chapter(s) via e-mail: gmastorakis@hmu.gr
    <mailto:gmastorakis@hmu.gr>