Publications from our Researchers

Several of our current PhD candidates and fellow researchers at the Data Science Institute have published, or in the proccess of publishing, papers to present their research.  

Search or filter publications

Filter by type:

Filter by publication type

Filter by year:

to

Results

  • Showing results for:
  • Reset all filters

Search results

  • Journal article
    Ma Y, Richards M, Ghanem M, Guo Y, Hassard Jet al., 2008,

    Air pollution monitoring and mining based on sensor grid in London

    , Sensors, Vol: 8, Pages: 3601-3623, ISSN: 1424-8220

    In this paper, we present a distributed infrastructure based on wireless sensors network and Grid computing technology for air pollution monitoring and mining, which aims to develop low-cost and ubiquitous sensor networks to collect real-time, large scale and comprehensive environmental data from road traffic emissions for air pollution monitoring in urban environment. The main informatics challenges in respect to constructing the high-throughput sensor Grid are discussed in this paper. We present a twolayer network framework, a P2P e-Science Grid architecture, and the distributed data mining algorithm as the solutions to address the challenges. We simulated the system in TinyOS to examine the operation of each sensor as well as the networking performance. We also present the distributed data mining result to examine the effectiveness of the algorithm.

  • Conference paper
    Curcin V, Ghanem M, Wendel P, Guo Yet al., 2007,

    Heterogeneous workflows in scientific workflow systems

    , Publisher: Springer, Pages: 204-211
  • Conference paper
    Liu J, Ghanem M, Curcin V, Haselwimmer C, Guo Y, Morgan G, Mish Ket al., 2006,

    Achievements and Experiences from a Grid-Based Earthquake Analysis and Modelling Study \r\n

    , Publisher: IEEE Computer Society Press

    We have developed and used a grid-based geoinformatics infrastructure and analytical methods for investigating the relationship between macro and microscale earthquake deformational processes by linking geographically distributed and computationally intensive earthquake monitoring and modelling tools. Using this infrastructure, measurement of lateral co-seismic deformation is carried out with imageodesy algorithms running on servers at the London eScience Centre. The resultant deformation field is used to initialise geomechanical simulations of the earthquake deformation running on supercomputers based at the University of Oklahoma. This paper describes the details of our work, summarizes our scientific results and details our experiences from implementing and testing the distributed infrastructure and analysis workflow.

  • Journal article
    Lu Q, Hao P, Curcin V, He W, Li Y-Y, Luo Q-M, Guo Y-K, Li Y-Xet al., 2006,

    KDE bioscience: Platform for bioinformatics analysis workflows

    , JOURNAL OF BIOMEDICAL INFORMATICS, Vol: 39, Pages: 440-450, ISSN: 1532-0464
  • Conference paper
    Richards M, Ghanem M, Osmond MA, Guo YK, Hassard Jet al., 2006,

    Grid based analysis of air pollution data

    , Proceedings of the 4th European conference on ecological modelling, 4th international workshop on environmental applications of data mining (ECEM/EAML 2004), Publisher: Elsevier, Pages: 274-286, ISSN: 0304-3800
  • Conference paper
    El-Shishiny H, Soliman THA, Emam I, 2006,

    Mining drug targets: The challenges and a proposed framework

    , Pages: 239-244, ISSN: 1530-1346

    Drug target identification, being the first phase in drug discovery is becoming an overly time consuming process and in many cases produces inefficient results due to failure of conventional approaches to investigate large scale data. The main goal of this work is to identify drug targets, where there are genes or proteins associated with specific diseases. With the help of Microarray technology, the relationship between biological entities such as protein-protein, gene-gene and related chemical compounds are used as a means to identify drug targets. In this work, we focus on the challenges facing drug target discovery and propose a novel unified framework for mining disease related drug targets. © 2006 IEEE.

  • Conference paper
    Liu JG, Ghanem M, Curcin V, Haselwimmer C, Guo Y, Morgan G, Mish Ket al., 2006,

    Distributed, high-performance earthquake deformation analysis and modelling facilitated by Discovery Net

  • Conference paper
    Cohen J, James C, Rahman S, Curcin V B B, Guo Y, Darlington Jet al., 2006,

    Modelling Rail Passenger Movements through e-Science Methods

  • Conference paper
    Ghanem M, Ratcliffe J, Curcin V, Li X, Tattoud R, Scott J, Guo YKet al., 2005,

    Using Text Mining for Understanding Insulin Signalling

    , 4th UK e-Science All Hands Meeting 2005\r\n
  • Journal article
    Curcin V, Ghanem M, Guo Y, 2005,

    Web services in the life sciences

    , Drug discovery today, Vol: 10, Pages: 865-871
  • Journal article
    Gilardoni F, Curcin V, Karunanayake K, Norgaard J, Guo Yet al., 2005,

    Integrated informatics in life and materials sciences: An oxymoron?

    , QSAR & Combinatorial Science, Vol: 24, Pages: 120-130
  • Conference paper
    Ghanem M, Guo Y, Hassard J, Osmond M, Richards Met al., 2004,

    Sensor Grids for air pollution monitoring

    , 3rd UK e-Science All-hands Conference AHM 2004, Nottingham, UK, Publisher: EPSRC, Pages: 106-113
  • Conference paper
    Au, AKTP, Curcin V, Ghanem M, Giannadakis N, Guo Y, Jafri MA, Osmond M, Oleynikov A, Rowe AS, Syed J, Wendel P, Zhang Yet al., 2004,

    Why grid-based data mining matters? fighting natural disasters on the grid: from SARS to land slides

    , UK e-science all-hands meeting, AHM 2004, Nottingham, UK, September 2004, Publisher: EPSRC, Pages: 121-126
  • Conference paper
    Curcin V, Ghanem M, Guo Y, Rowe A, He W, Pei H, Qiang L, Li YYet al., 2004,

    IT service infrastructure for integrative systems biology

    , Los Alamitos, SCC 2004. IEEE international conference on services computing, Publisher: IEEE Computer Soc, Pages: 123-131
  • Conference paper
    Curcin V, Ghanem M, Guo Y, Kohler M, Rowe A, Syed J, Wendel Pet al., 2002,

    Discovery net: towards a grid of knowledge discovery

    , ACM SIGKDD international conference on knowledge discovery and data mining, Publisher: Association for Computing Machinery, Pages: 658-663

This data is extracted from the Web of Science and reproduced under a licence from Thomson Reuters. You may not copy or re-distribute this data in whole or in part without the written consent of the Science business of Thomson Reuters.

Request URL: http://www.imperial.ac.uk:80/respub/WEB-INF/jsp/search-t4-html.jsp Request URI: /respub/WEB-INF/jsp/search-t4-html.jsp Query String: id=607&limit=15&page=15&respub-action=search.html Current Millis: 1739063863146 Current Time: Sun Feb 09 01:17:43 GMT 2025

Contact us

Data Science Institute

William Penney Laboratory
Imperial College London
South Kensington Campus
London SW7 2AZ
United Kingdom

Email us.

Sign up to our mailing list.

Follow us on Twitter, LinkedIn and Instagram.