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:

• Theoretical foundations and algorithms for collaborative networks, applications, and worksharing
• Architectures, protocols, and enabling technologies for collaborative networks, systems and applications
• Autonomic computing and quality of services in collaborative networks, systems, and applications
• Collaboration in context-aware, pervasive, cloud computing, social networking, and cyber physical environments
• Collaborative multimedia systems/applications, large scale databases and Big Data
• Collaboration in e-health, e-learning, e-government, and digital libraries
• Collaborative network infrastructures such as body area networks, wireless sensor networks, VANETS, mobile networks, etc.
• Models and mechanisms for real-time and large scale collaboration, information sharing and worksharing
• Security, privacy, resiliency/survivability and trust management in collaborative networks, systems, and applications
• Simulation, performance evaluation, experiments, and case studies of collaborative environments
• Collaborative web services technologies, business processes, workflows, and service-oriented systems and architectures

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Song Guo (The University of Aizu) Kui Wu (University of Victoria) Cong Wang (City University of Hong Kong) Robert Birke (IBM Research Zurich) Dimitrios Koutsonikolas (University at Buffalo, SUNY) Andreas Petlund (Simula Research Laboratory) Shervin Shirmohammadi (University of Ottawa) Razib Iqbal (Missouri State University) Aiman Erbad (Qatar University) Ali A Nazari Shirehjini (Sharif University of Technology) Dewan Ahmed (University of North Carolina at Charlotte) Edith Ngai (Uppsala University) Xiaoxian Yang (SSPU)

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Xinheng Wang¹

Prof. Wang is currently the Head of the Department of Mechatronics and Robotics. He is an IET Fellow and a senior member of IEEE. He has broad academic working experience in China, England, Wales, and Scotland for more than 20 years. He has extensive research experience in Internet of Things (IoT), wireless mesh networks, indoor positioning, big data analytics, and applications for smart cities. Along with nearly 30 research projects sponsored by EU, UK EPSRC, Innovate UK, China NSFC, and industry, his research in each area has led to an impactful industrial product. For example, the smart trolley, which has been deployed at more than 10 airports in China, he has developed with partners is the first in the world to provide an IoT solution aiming at providing intelligent services for passengers. His collaborative research in acoustic localization with Zhejiang University has won first place in Microsoft Indoor Localisation Competition in sound group. His current research interests include tactile Internet, indoor positioning and data services, acoustic localization, communications and sensing, and networking mechatronic systems. A team with collaborators inside and outside the university, including Oxford University and Zhejiang University is working on these areas. If you would like to collaborate with me on research or study with me for a Ph.D. degree, feel free to contact me.

Honghao Gao²

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.