All accepted and presented papers will be published by Springer and made available through SpringerLink Digital Library.

ADHIP proceedings are indexed in leading indexing services, including Ei Compendex, Scopus, CrossRef, Google Scholar, DBLP, as well as EAI’s own EU Digital Library (EUDL).

Authors of selected papers will be invited to submit an extended version to:

• Mobile Networks and Applications (MONET) Journal (IF: 2.390)

Additional publication opportunities:

• EAI Transactions series (Open Access)
• EAI/Springer Innovations in Communications and Computing Book Series

Big data processing, which include

• Computational Framework and Structure for Big Data
• Computational Method for Big Data
• Fog Computation
• Parallel and Distributed Computing
• Medical Big Data Analysis and Processing
• Other interesting and promising domains

Real applications of aspects with big data, which include

• Internet of Multimedia Things (IoMT)
• Security and Privacy protection of IoMT
• Behavior Understanding and Object Tracking in Big Multimedia Data
• Network Traffic Analysis and Measurement
• Big Image Data Processing
• Other interesting and promising domains

Huge Signal Data Processing, which include

• Wireless Communication for Big Data
• Wireless Networks for Big Data
• Information Theory and Coding in Big Data Application
• Big Radar Signal Data processing
• Big Audio and Acoustic Signal Data Processing
• Industry Technology Tracks
• Sensor Array and Multichannel Signal Processing
• Big Data Processing in Satellite and Space Communications

Other related methods and applications are also welcome.

Since information processing has acted as an important research domain in science and technology today, it is the right time to develop deeper and wider use of hybrid information processing, especially information processing for big data. Today, there are more remaining issues are waiting for solving, such as classification and systemization of big data, objective tracking and behavior understanding in big multimedia data, encoding and compression of big data, et al. These entire problems need our more attention to solve.

Therefore, more effective thoughts and methods are needed to enhance theory and application of big hybrid data processing. Moreover, the use of sophisticated and robust mathematical methods are important in huge information processing, and emerging methods which can improve the efficiency of this domain are also encouraged in this conference.

So, this conference aims to provide an opportunity for researchers to publish their gifted theoretical and technological studies of advanced method in big hybrid data processing, and their novel engineering applications within this domain.

The main focus of this special issue will be on the state-of-the-art advances in the studies and emerging applications in following topics. Excellent review articles are also welcome.

The event is endorsed by the European Alliance for Innovation, a leading community-based organisation devoted to the advancement of innovation in the field of ICT.

This event is organized by EAI.

EAI – European Alliance for Innovation is a non-profit organization and a professional community established in cooperation with the European Commission to empower the global research and innovation, and to promote cooperation between European and International ICT communities.

EAI’s vision is to foster excellence in research and innovation on the principles of transparency, objectivity, equality, and openness. Our guiding principle is community cooperation to create better research, provide fair recognition of excellence and transform best ideas into commercial value proposition.

EAI‘s mission is to create an environment that rewards excellence transparently, and builds recognition objectively regardless of age, economic status or country of origin, where no membership fees or closed door committees stand in the way of your research career.

Through these shared values, EAI leads the way toward advancing the world of research and innovation, empowering individuals and institutions for the good of society to fully benefit from the digital revolution.