Artificial intelligence (AI) was founded as an academic discipline in 1956 in order to "make the machine recognize, think, and learn like human beings". So as to emancipate human resources and achieve the goal of automation and mechanization. With the advancement of big data technology and high-performance computing, people are able to manage and mine the ever-increasing amount of data rapidly and effectively. As a result, the development of AI has reached a new peak. The areas of AI, including smart manufacturing, smart cities and smart medical services, are constantly expanding, covering many disciplines such as information theory, cybernetics, automation, mathematical logic and linguistics. This transaction accepts papers of theoretical research and engineering applications relevant to AI, including novel algorithms in AI such as machine learning and deep learning algorithms, as well as the latest achievement in other appropriate fields covering data mining, computer vision, natural language processing and autopilot. We believe that AI technologies will play an important and active role of research fields in next several decades. This Transactions provides an international and interdisciplinary forum to communicate results of new developments relate to AI algorithms and applications as well as the feasibility studies of these ideas in hardware and software.
Special Issues Editor: Jorge De-j. Lozoya-santos (University of Monterrey, Mexico)
Bashar Nuseibeh (The Open University, UK and Lero, the Irish Software Engineering Research Center, University of Limerick)
Christopher Rouff (Johns Hopkins Applied Physics Laboratory)
Danny Weyns (Linnaeus University)
Diana Spears (Swarmotics LLC, Laramie, Wyoming, USA)
Franco Zambonelli (UNIMORE, Italy)
Genaina Rodrigues (University of Brasilia)
Giacomo Cabri (UNIMORE, Italy)
Imrich Chlamtac (CREATE-NET Research Consortium, University of Trento, Italy)
James Windsor (ESTEC, European Space Agency, Netherlands)
Michael O'Neill (UCD, Ireland)
Mike Hinchey (Lero, the Irish Software Engineering Research Center, University of Limerick)
Richard Antony (University of Greenwich)
Simon Dobson (University of St Andrews)
Guan Gui received the Dr. Eng degree in information and communication engineering from University of Electronic Science and Technology of China (UESTC), Chengdu, China, in 2012. From October 2009 to March 2012, with the financial supported from the China scholarship council (CSC) and the global center of education (ECOE) of Tohoku University, he joined the wireless signal processing and network laboratory (Prof. Adachi's laboratory), Graduate School of Engineering, Tohoku University as for research assistant as well as postdoctoral research fellow, respectively. From September 2012 to March 2014, he was supported by Japan society for the promotion of science (JSPS) fellowship as postdoctoral research fellow at same laboratory. From April 2014 to October 2015, he was an Assistant Professor in Akita Prefectural University. Since November 2015, he has been a full professor with Nanjing University of Posts and Telecommunications (NUPT), Nanjing, China. He is currently engaged in research of machine learning, compressive sensing, and advanced wireless techniques. He is a Senior Member of Institute of Electrical and Electronics Engineers (IEEE). Dr. Gui has been an Editor for the Wiley Journal of Security and Communication Networks (2012~2016), Editor of IEEE Transactions on Vehicular Technology (2017~) and KSII Transactions on Internet and Information Systems (2017~). He received IEEE International Conference on Communications (ICC) Best Paper Award in years 2014 and 2017, as well as IEEE Vehicular Technology Conference (VTC-spring) Best Student Paper Award in year 2014. He was also selected as for Jiangsu Distinguished Professor and Jiangsu High-level Innovation and Entrepreneurial Talent in year 2016 and "1311 Talent Plan" Nanjing University of Posts and Telecommunications in year 2017.