With the recent advances in computing and information technologies, we are seeing unprecedented opportunities for increased electronic collaborations among individuals and distributed teams of humans, computer systems and applications, and/or a highly heterogeneous set of computing devices. Computing technologies have continued to evolve from standalone tools, to open systems and from general purpose tools to specialized collaboration grids and infrastructures that facilitate intensive collaboration in multi-organizational settings, as well as in the context of global scale social interactions and worksharing.
Such collaborations are enabling large and globally dispersed organizations to achieve a much higher level of productivity and jointly produce innovative and powerful products that would be impossible to develop without the contributions of multiple collaborators. Novel collaboration solutions that fully realize the promises of electronic collaboration, and pushes the limits of human endeavor, productivity and discovery require innovations and advancements in broad areas of computing including networking, systems and applications, user interfaces and interaction paradigms, and seamless interoperation among system, network and application-specific components and tools.
The goal of this journal is to serve as a premier international venue for publishing innovative and cutting edge research results in theory as well as applied systems, applications and networking areas that enable intensive and efficient collaboration across and among networked cyber-physical and social systems and applications, individuals as well as enterprises. Sample topics of interest include, but are not limited to:
Sample topics of interest include, but are not limited to:
Henry Wang Prof. Wang is currently a professor of computing at University of West London, UK. He is also coordinating the research and enterprise activities for School of Computing and Engineering. After obtaining his bachelor and master degrees in electrical engineering from the best electrical engineering department in China at Xi’an Jiaotong University, he joined the State Key Laboratory of Electrical Insulation and Power Equipment as a lecturer. During his visit to Southampton University in the UK, he received a full studentship from National Grid UK to conduct his PhD research in condition monitoring for power systems at Brunel University. After completing his study in three years, he continued his research as a postdoctoral research fellow at Brunel University and started his academic career in the UK. Prof. Wang has broad working experience in England, Wales and Scotland, where he has gained some deep knowledge of local life and culture in the UK. His research experience is also broad. He has worked on asset conditioning monitoring, mobile healthcare, wireless networking, indoor positioning and big data analytics. Along with more than 20 research projects he has investigated, his research in each area has led to an industrial product. For example, his methodology in cable fault detection and location has resulted in a device used in South Korea; his research and development in wireless mesh and sensor networks has been commercialized in the UK; currently he is working with an IT pioneer to develop the first smart trolley in the world used for intelligent airport services, which is being used by more than ten airports in China. Prof. Wang is an IEEE senior member. He is also serving as a member of EPSRC Peer Review College and an expert to review and monitor EU projects. Over the years, he has published more than 70 referred journal papers and dozens of conference papers. He has 6 granted patents in the area of indoor positioning, networking, and big data analytics. He has also received four technical awards. Apart from research, Prof. Wang is very keen in developing and promoting research-informed teaching. One of his modules developed in the UK was commented as “an innovative module approach to facilitate inclusion of contemporary smart networking issues based on an innovative approach to module design” by the review panel.
Honghao Gao received the Ph.D. degree in Computer Science and started his academic career at Shanghai University in 2012. He is an IET Fellow(FIET), BCS Fellow(FBCS), EAI Fellow(FEAI), IEEE Senior Member(SMIEEE), CCF Senior Member(SMCCF), and CAAI Senior Member(SMCAAI). Dr. Gao is currently a Distinguished Professor with the Key Laboratory of Complex Systems Modeling and Simulation, Ministry of Education, China, and is a Research Fellow with the Software Engineering Information Technology Institute of Central Michigan University (CMU), USA. Dr. Gao's research interests include service computing, model checking-based software verification, wireless network and IoT, and intelligent medical image processing.