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Workshop on Management of Cloud and Smart City Systems (MoCS 2022)
April 26th, 2022 
Daniela Lopez de Luise https://sites.google.com/view/mocs2022
Organized in association with
IEEE Symposium on Computers and Communications (ISCC 2022)
30th June 2022, Rhodes Island, Greece
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The last years have witnessed a permanent change of vision of cloud systems. Nowadays, the most important stakeholders such as private companies, public agencies, research communities and citizens rely on the cloud for a number of purposes, ranging from sharing hardware infrastructures to software, data, and sensing services.
The services designed for complex scenarios like distributed clouds, Internet of Things, smart cities, and the upcoming Industry 5.0, pave the path for a new era of the cloud. The complexity of human dynamics in a city can be better analyzed by decentralizing the infrastructure, integrating and opening the data and sharing the services. The distributed cloud paradigm is a key enabling technology, whereby applications and network functions are hosted in the cloud-to-thing continuum. By being closer to the end-user, besides better supporting low-latency applications, MEC systems are a candidate architecture for such a decentralized, context-aware infrastructure. Despite such a rapid (re-)evolution of edge-cloud systems, the extremely heterogeneous smart city applications (sensing as a service, crowd sensing, etc.) makes the satisfaction of all the requirements a big challenge. In this context, emergent paradigms like artificial intelligence (AI), machine learning (ML), privacy!
-enhancing technologies (PET) and blockchain (BC) are key enablers for cloud-to-thing systems to shape the development of autonomic orchestration and networking.
The workshop on Management of Cloud and Smart city systems (MoCS) started following the “cloud” revolution about 11 years ago. MoCS 2022, in its 12th edition, is organized in association with the 27th IEEE Symposium on Computers and Communications (IEEE ISCC 2022). The focus of MoCS 2022 is in the convergence of distributed clouds, context and privacy-aware applications for complex scenarios like smart cities and learning-driven approaches for urban planning. The workshop aims at disseminating results on both theoretical and applicative aspects.
Topics of interest
2022 IEEE RAS Summer School on Multi-Robot Systems in Prague, August 1-5, 2022: CAPACITY EXTENDED
April 26th, 2022 Daniela Lopez de Luise The Summer School is proper for last year bachelor’s students, master’s students, and PhD students, but we would also like to invite young scientists from both industry and academia. Mainly the planned HW experiments with a fleet of real UAVs realized by students during the Summer School practicals could be within their interest.
You can find more details about the Summer School in the call for participation with deadline June 1, 2022 below this email.
International Summer School in Jyvaskyla, Finland, in August offers a course devoted to interactive multiobjective optimization – registration open till end of April!
April 26th, 2022 Daniela Lopez de Luise The 31st Jyvaskyla Summer School will be organized on August 8–19, 2022 at the University of Jyväskylä, Finland (https://jyu.fi/jss). The registration is open till the end of April. The Summer School will be organized in a hybrid mode.
The programme includes courses in various topics related to Science in Society, Basic Natural Phenomena as well as Scientific Imaging and Modelling. All courses are taught in English.
For further information about registration, see How to apply to Jyväskylä Summer School — University of Jyväskylä (jyu.fi)
For example, we offer the following course related to decision analytics and multiobjective optimization:
COM1: Interactive Multiobjective Optimization: Applications and Tools to Support Decision Making
Besides introducing multiobjective optimization, different interactive methods (both scalarization based and evolutionary algorithms) and real-world applications, the course gives an opportunity for hands-on experiences with the open source software framework DESDEO (desdeo.it.jyu.fi). Both data-driven and simulation based problems are considered. This course is given by the Multiobjective Optimization Group at the University of Jyvaskyla.
For further information, see Courses in Computational Sciences — University of Jyväskylä (jyu.fi)
A complete list of the courses: Summer School Course Programme — University of Jyväskylä (jyu.fi)
Please, spread the word in your networks and to students who could be interested in attending!
With best regards, Kaisa Miettinen
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Professor Kaisa Miettinen, PhD
University of Jyvaskyla
Multiobjective Optimization Group: http://www.mit.jyu.fi/optgroup/
Faculty of Information Technology, P.O. Box 35 (Agora)
FI-40014 University of Jyvaskyla, Finland
Call for Special Issue Scopus indexed
April 26th, 2022 Daniela Lopez de Luise Theme title of the special issue:
Applications of Artificial Intelligence for Intelligent Mechatronic Systems
Journal title: Mechatronic Systems and Control
Topics of interest include, but are not limited to, the following:
· Intelligent robotic systems
· Robotics
· Surveillance and security systems
· Automotive and transportation systems
· Artificial intelligence and soft computing
· Knowledge discovery and data Mining
· Genetic algorithm
· Automation in manufacturing
· Biomedical mechatronic systems
· Automation and control systems
· Digital image and signal processing
· Cybernetics
· Big data analytics
Submission deadline: June 15, 2022
Submission Link: https://forms.gle/vKhgDXL1hEpBwAhJA
Guest Editor:
Dr. Yogesh
Assistant Professor
Department of Information Technology
Amity School of Engineering and Technology,
Amity University Uttar Pradesh, Sector-125, Noida (U.P.) – 201313
Email: eceyogesh@gmail.com