Manchester Metropolitan University

Welcome to FUNDS: FUture Networks and Distributed Systems Group within the School of Computing, Mathematics and Digital Technology at Manchester Metropolitan University. We are actively investigating novel methods, techniques and solutions that address the fundamental challenges of future computer networks and distributed systems. In particular, we seek to focus on the challenges associated with intelligent management and optimisation of large-scale complex distributed systems, such as, reliability, scalability, security, resilience, autonomy and issues associated with data-centric computing (e.g., data-intensive computing). In addition, the group works rigorously on tackling the scientific and industrially relevant problems. Other research is still on-going by the group researchers, which includes the development of computational methods based on naturalistic and self-organizing system models and assessing the emergent risks from the globally distributed systems interaction.

To this end, the research topics of the group mainly focus on the following areas: 

The group also benefits from the currently available research labs, which provide the state-of-the-art computing facilities to the above topics' researchers.

Research projects

Projects:

• MMU funding,  2015
    Project title:  DIVINE: Building a wearable device for intelligent control of environment using Google
                         Glass
PI: Dr. Liangxiu Han, Co-PI: Nick Whittaker)

• Sustainable Society Network+ Award (RCUK Digital Economy), 2014-2015,  
      Project title:  COPE--automatic diagnosis of crop diseases from images ( PI: Dr. Liangxiu Han), in
                           collaboration with Fera (Food and Environment Research Agency).

•  A fully funded PhD studentship by Faculty of Science and Engineering, MMU, 2013-2016

   
      Project title:  Occupancy Pattern Detection for Energy Efficiency and Comfort Management in Buildings
                          Based on Environmental Sensing (PI, Dr. Liangxiu Han)

• BBSRC Grant, in Collaboration with MRC, Human Genetics Unit, University of Edinburgh, 2012-2013

    Project title: AGILE: A Cloud Approch to Automatic Gene Expression Pattern Recognition and 
                       Annotation over
 Large-Scale Images, In Collaboration with MRC, Human Genetics Unit, 
                       University of Edinburgh 
(PI, Dr. Liangxiu Han)

• HEA Grant, 2012-2013, BLOSSOM (PI, Dr. Liangxiu Han)

• EPSRC DHPA, in collaboration with the industry, 2011-2015

      Project title: Automatic Detection of Features in Retinal Images to Improve Diagnosis of Eye Disease  
        (PI, Dr. Liangxiu Han)

• Tenovous Scotland, in collaboration with University of Aberdeen, 2011-2012

     Project title: Mathematical Understanding of Obesity and Type 2 Diabetes in Mouse Models 
     (Co-PI, Dr. Liangxiu Han)

• Amazon Education Research Award (2011-2013), in collaboration with MRC, Human Genetics Unit, University   
  of Edinburgh
  Project title: Large-scale Gene Expression Pattern Annotation in Images of Mouse Embryo
     (PI, Dr. Liangxiu Han)

• University Funding, 2011-2014
    Project title:  Biologically inspired computation  (DoS, Dr. Liangxiu Han)

People

Dr Mohammad Hammoudeh 

Research interests: Ad-hoc Wireless and Mobile Networks, Logical and Model Theory, Formal verification and Web Service. 

Email: m.hammoudeh@mmu.ac.uk

Dr Liangxiu Han (Group Leader)

Research interests: Computer Networks & Distributed Computing (e.g., cloud, service oriented computing, IoT), Data Mining, Bioinformatics, Complex Sciences.

Email: l.han@mmu.ac.uk

Dr Rob Hegarty

Research interests: Digital forensics, Cloud computing, Computer Security

Email: r.hegarty@mmu.ac.uk

Dr Maybin Muyeba

Research Interests: Data Mining, Fuzzy Logic, Intelligent Systems and Evolutionary Computing

Email: m.muyeba@mmu.ac.uk

Nick Whittaker

Research interests: Mobile computing, Wireless sensor networks

Email: N.Whittaker@mmu.ac.uk

News

                http://bigdataanalyticsforbiomedicalresearch.eventbrite.co.uk

https://www.jobs.mmu.ac.uk/mmujobsite/VacancyDetail.aspx?VacancyUID=000000007320,
http://www.jobs.ac.uk/job/AEW385/research-associate-ref-g2-3029,  and www.mymanchesterjobs.co.uk.