Computational methods for fitting statistical models to spatial data Murali Haran, PhD Pennsylvania State University, Pennsylvania, USA Abstract Spatial data arise in many subjects, including disease modeling, environmental science, mining and engineering problems. Fitting statistical models to such data can be computationally challenging. I will describe algorithms that efficiently fit statistical models called Gaussian random field models to large spatial data sets. This is based on joint work with Yawen Guan (Statistical and Applied Mathematical Sciences Institute, North Carolina, USA), and John Hughes (University of Colorado-Denver, USA). Short bio Murali Haran https://www.niss.org/people/murali-haran is a professor of statistics at Penn State. He obtained his PhD in statistics from the University of […]

Designing Resource-Aware Applications for the Cloud using Formal Methods Einar Broch Johnsen Department of Informatics, University of Oslo, Norway Abstract Deployment on the cloud gives software designers far reaching control over the resource parameters of the execution environment, such as the number and kind of processors, the amount of memory and storage capacity, and the bandwidth. In this context, designers can also control their software’s trade-offs between the incurred cost and the delivered quality-of-service. Resource-aware services, which are designed for scalability, can even change these parameters dynamically, at runtime, to meet their service-level agreements. But how can we ensure that we made good design decisions for such services, before they […]

Smart contract, an important building block of adaptable and dynamic networks Sandor Albrecht, PhD Director, Ericsson Research, Stockholm, Sweden Abstract Information and communication technology is radically transforming business and our society. Today, there are already many more computing gadgets in the world than there are people. In a few years from now, almost everything we manufacture will have a built-in microprocessor and be connected to the Internet. However, considering the scale of IoT, we need to change the way we think about networks. There is a great need to automate as many network management tasks as possible; ultimately creating an environment where dynamic and automated networks and services will adapt […]

IoT‐Based WSN: Softwarization and Virtualization Towards CPS Intelligence Adnan Al‐Anbuky, PhD AUT University, Auckland, New Zealand Abstract Progression of Internet of Things (IoT) and Wireless Sensor Networks (WSN) are leading into the more comprehensive and integrated organization of the Cyber Physical Systems (CPS). The area of CPS goes beyond the functions of sensor‐actuator systems where the system objective is the efficient data collection, transportation and delivery. It also goes beyond the IoT where physical things are remotely interacted with. Cyber‐physical systems (CPS) are “engineered systems that are built from, and depend upon, the seamless integration of computational algorithms and physical components. Their pervasive operation is governed by the key pillars relevant to wireless sensor‐actuator network, Internet of […]

Smart contract, an important building block of adaptable and dynamic networks Sandor Albrecht, PHD Director, Ericsson Research, Stockholm, Sweden read more >> Designing Resource-Aware Applications for the Cloud using Formal Methods Einar Broch Johnsen, PHD Department of Informatics, University of Oslo, Norway read more >> IoT‐Based WSN: Softwarization and Virtualization Towards CPS Intelligence Adnan Al‐Anbuky, PhD AUT University, Auckland, New Zealand read more >> Computational methods for fitting statistical models to spatial data Murali Haran, PhD Pennsylvania State University, USA read more >>

Info about keynote speakers will be available soon.

Final program is available here! Conference timetable is available here!