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Learning and Optimisation

The group aims to explore the synergy between machine learning and optimization to achieve collaborative effects in building highly efficient and smart systems.

Contact

Professor

Ning Xiong

+4621151716

ning.xiong@mdh.se

The methodological research concerns: metaheuristics for learning, data driven learning in optimization, real-time learning, data reduction and feature mining, learning and optimization under uncertainty.

We are also actively engaged in practical applications, to test and apply the new developed methods and algorithms in current challenging scenarios such as industrial or biomedical ones. The interesting application areas include (yet are not limited to) the following:

  • Machine learning and optimization in power devices and power systems
  • Real-time process monitoring (both in industry and health care)
  • Complex data analysis in biofeedback systems
  • Process automation and intelligent control systems
  • Behavior learning and control for autonomous robots
  • Cyber attack identification
  • Software testing

Ongoing research projects

The aim of the project is to develop a new methodology for adaptive, distributed learning and information fusion from evolving data streams, based on the MapReduce paradigm.


Project manager at MDH: Ning Xiong

Main financing: The Swedish Research Council

AFarCloud will provide a distributed platform for autonomous farming that will allow the integration and cooperation of agriculture Cyber Physical Systems in real-time in order to increase efficiency, productivity, animal health, food quality and reduce farm labour costs.


Project manager at MDH: Baran Cürüklü

In A-CPS, we aim at providing a model-based framework for introducing automation in the software development of high-performance vehicular systems.


Project manager at MDH: Alessio Bucaioni

Main financing: KK-stiftelsen

This initiative will conduct key research needed to enable ubiquitous access to cloud services in real-time, making this technology available also to operations in industrial systems.


Project manager at MDH: Thomas Nolte

This project aims at developing innovative techniques to provide a full-fledged development environment for vehicular applications that use TSN as the backbone for on-board communication.


Project manager at MDH: Saad Mubeen

Main financing: Vinnova

The ultimate goal of the DPAC profile is to establish a nationally leading and internationally renowned research centre that facilitate close cooperation between academia and industry to achieve a significant increase in research and available knowhow on advanced dependable platforms for embedded systems.


Project manager at MDH: Kristina Lundqvist

Main financing: The Knowledge Foundation

DeepMaker aims to provide a framework to generate synthesizable accelerators of Deep Neural Networks (DNNs) that can be used for different FPGA fabrics.


Project manager at MDH: Masoud Daneshtalab

Main financing: The Knowledge foundation

In this joint project, we aim at decreasing the power consumption and computation load of the current image processing platform by employing the concept of computation reuse.


Project manager at MDH: Masoud Daneshtalab

Main financing: STINT - The Swedish Foundation for International Cooperation in Research and Higher Education

In this project, the goal is to understand, and ultimately limit the effects of, the sources of unsustainability in RTA-O. We will focus on the classes of preemtable fixed-priority scheduled uniprocessor systems and server-based scheduled multiprocessor systems.


Project manager at MDH: Mikael Sjödin

Main financing: The Swedish Research Council

FORA is a European Training Network (ETN), which will fund and train 15 PhD candidates in the area of Fog Computing, during the period 2017-2021.


Project manager at MDH: Hans A Hansson

Main financing: European Comission

FlexiHealth focuses on designing novel mobility management protocols for IoT networks through enhancing the IoT architecture, enriching by the Fog computing concept.


Project manager at MDH: Hossein Fotouhi

Main financing: The Knowledge Foundation

The aim of this project is to propose how the automation pyramid should be developed towards a network-centric solution where business-critical and production-critical traffic can coexist, in order to enable new business models and innovations in the Swedish process industry.


Project manager at MDH: Mats Björkman

Main financing: Vinnova

FiC will provide generic solutions for Future factories in the Cloud in the form of an integrated set of techniques and generic tools for future smart products and production systems, including architectural templates for cloud based production; algorithms and tools for safe and secure communication and computation, specifically handling big-data; and techniques for efficient and predictable sharing of computation and communication resources.


Project manager at MDH: Hans A Hansson

Main financing: The Swedish Foundation for Strategic Research

The purpose of the FuturE project is to give national as well as international students and professional practitioners an opportunity to benefit from the skills in MDH's strongest research profiles, by means of flexible web based courses.


Project manager at MDH: Ann-Catrin Davis

Main financing: The Knowledge Foundation

The overall goal of HERO is to provide a framework that enables development of optimized parallel software, automatic mapping of software to heterogeneous hardware platforms, and provision of automatic hardware acceleration for the developed software.


Project manager at MDH: Mikael Sjödin

Main financing: The Knowledge Foundation

The aim of this project is to identify novel use cases of eHealth that take advantage of 5G capabilities, study and develop 5G enablers for the use cases, develop and validate actual eHealth solutions in real environments and real 5G test networks, and disseminate and exploit the results.


Project manager at MDH: Cristina Seceleanu

Main financing: Celtic Plus

ITS-EASY is an industrial research school in Embedded Software and Systems, affiliated with the School of Innovation, Design and Engineering (IDT) at Mälardalen University (MDH), as an integrated part of the MDH strategic research area Embedded Systems (ES).


Project manager at MDH: Kristina Lundqvist

Main financing: The Knowledge Foundation

ImmerSAFE is a four year (2018-2021) H2020 Marie Sklodowska-Curie Innovative Training Network that brings together 9 beneficiaries and 5 partner organizations from Finland, Sweden, Norway, Croatia, Italy, and Switzerland, with the aim of training a new generation of multi-disciplinary experts, who have an understanding of the core imaging technologies, the requirements set to them by the safety-critical applications and who can account for the human user in the design of such systems.


Project manager at MDH: Gunnar Widforss

Main financing: EU project

With MINEStrA we aim at providing a system integration approach supporting early behavioural analysis and simulation based on executable models.


Project manager at MDH: Antonio Cicchetti

Main financing: The Knowledge Foundation

MobiFog focuses on designing novel mobility management protocols for IoT networks through enhancing the IoT architecture, enriching by the Fog computing concept.


Project manager at MDH: Hossein Fotouhi

Main financing: The Swedish Research Council

The project focuses on modeling and analyzing event-based asynchronous autonomous systems for safety assurance, performance evaluation, and optimization


Project manager at MDH: Marjan Sirjani

Main financing: The Knowledge Foundation

Morphological Computing in Cognitive Systems


Project manager at MDH: Gordana Dodig-Crnkovic

Main financing: The Swedish Research Council

The goal of PANORAMA is to research model-based methods and tools to master development of heterogeneous embedded hardware/software systems in collaboration with diverse and heterogeneous parties by providing best practice, novel analysis approaches, and guidance for development.


Project manager at MDH: Alessio Bucaioni

Main financing: ITEA 3

Despite many years of research in the real-time systems research community, no practically useful probabilistic timing analysis exists today. In this project we aim to overcome this situation by addressing key challenges inherent in the restricting assumptions of existing analysis.


Project manager at MDH: Thomas Nolte

Main financing: The Swedish Research Council

In SACSys, we address the core question of how to provide run-time guarantees of safety and cyber-security for time-critical collaborative adaptive systems.


Project manager at MDH: Marjan Sirjani

Main financing: KK-stiftelsen

This project addresses design methods for the use of DNNs in airborne safety-critical systems.


Project manager at MDH: Håkan Forsberg

Main financing: Vinnova

In Serendipity, we will develop new technologies and a platform for safetycritical connected cyberphysical systems that leverage existing techniques for dependable systems and augment them with scalable security solutions for open and heterogeneous systems.


Project manager at MDH: Mikael Sjödin

Main financing: Swedish Foundation for Strategic Research

Software Center is a collaboration between five academic partners and thirteen companies, dedicated to accelerating industrial digitalization and to support a continuous exchange of knowledge between the companies.


Project manager at MDH: Janne Carlsson

The long-term goal of this project is to identify key factors that hinder the combination of model- based development and continuous integration, and to develop methods, techniques and tools to help alleviate them.


Project manager at MDH: Janne Carlsson

The TESTOMAT project will support software teams to strike the right balance by increasing the development speed without sacrificing quality.


Project manager at MDH: Björn Lisper

Main financing: Vinnova, Itea3

This is a project for funding of a professor of vehicular electronics and software architecture in the Embedded Systems (ES) centre of excellence at Mälardalen University (MDH).


Project manager at MDH: Mikael Sjödin

Main financing: KK-stiftelsen

Unicorn -Sustainable, peaceful and efficient robotic refuse handling


Project manager at MDH: Mikael Ekström

Main financing: Vinnova

Worst-Case Execution Time (WCET) analysis tries to find an upper bound for the time needed to execute a program. Such WCET bounds are very important when designing and verifying real-time systems. Current industrial practice is to estimate these bounds from measurements, something often complicated and error-prone.


Project manager at MDH: Björn Lisper

XIVT - eXcellence in Variant Testing


Project manager at MDH: Eduard Paul Enoiu

Main financing: Itea3