Robert Kukla

Robert Kukla

Dr Robert Kukla

Senior Research Fellow

Biography

Dr. Robert Kukla has considerable experience in developing database and knowledge base technologies on EPSRC and EU grants. He was a Research Fellow on SEEK and developer of the taxonomic concept schema (TCS) which has been ratified as a TDWG standard. He undertook a feasibility study for TDWG on the development of a core ontology for taxonomic data and investigated issues in converting an existing taxonomic data resource to employ the ontology and LSIDS.

In addition to his research activities, he maintains and further develops the University’s Research Management system and related web site where he has gained significant hands-on experience with the day-to-day running of production systems and implementing state-of-the–art web technology including visualization tools.

In 2007-2009, he worked on a Proof of Concept project “MATSE: Information Visualisation of Microarray Time-course Data”, to develop high quality interactive visualisation software for the analysis of microarray time-course data. The results of which were published widely.

He is actively engaging with small and medium sized companies in knowledge transfer projects (KTP and SFC IV). Recent examples include working with Scottish Woodlands, Plansafe Ltd and Highland Archaeology Services Ltd as well as NHS Lothian and Standard Life.

Research Areas

News

Date


22 results

MaTSE: the gene expression time-series explorer.

Journal Article
Craig, P., Cannon, A., Kukla, R., & Kennedy, J. (2013)
MaTSE: the gene expression time-series explorer. BMC bioinformatics, 14, https://doi.org/10.1186/1471-2105-14-S19-S1
Background High throughput gene expression time-course experiments provide a perspective on biological functioning recognized as having huge value for the diagnosis, treatmen...

MaTSE: The microarray time-series explorer

Conference Proceeding
Craig, P., Cannon, A., Kukla, R., & Kennedy, J. (2012)
MaTSE: The microarray time-series explorer. In 2012 IEEE Symposium on Biological Data Visualization (BioVis), (41-48). https://doi.org/10.1109/biovis.2012.6378591
This paper describes the design, development and evaluation of the Microarray Time-Series Explorer (MaTSE), a novel information visualization application for the exploratory a...

Pattern browsing and query adjustment for the exploratory analysis and cooperative visualisation of microarray time-course data.

Conference Proceeding
Craig, P., Cannon, A., Kennedy, J., & Kukla, R. (2010)
Pattern browsing and query adjustment for the exploratory analysis and cooperative visualisation of microarray time-course data. In Y. Luo (Ed.), Cooperative Design, Visualization, and Engineering, 199-206. https://doi.org/10.1007/978-3-642-16066-0_30
This paper presents work to support collaborative visualisation and data analysis in the microarray time-series explorer (MaTSE) software. We introduce a novel visualisation c...

A new data, document and geospatial repository: knowledge base and project support for a major international railway project.

Presentation / Conference
Wigan, M., Kukla, R., Benjamins, M., & Grashoff, P. (2008, April)
A new data, document and geospatial repository: knowledge base and project support for a major international railway project. Poster presented at Third International Conference on Open Repositories, Southampton, United Kingdom
The simplicity of the basic design has proved to be robust to the changing and varied needs of different ?clients?, but the complexity of the intellectual property issues enge...

A software framework for the microscopic modelling of pedestrian movement

Thesis
Kukla, R. (2007)
A software framework for the microscopic modelling of pedestrian movement. (Thesis). Edinburgh Napier University. Retrieved from http://researchrepository.napier.ac.uk/id/eprint/3927
A town planner, faced with the task of designing attractive walking spaces, needs a tool that will allow different designs to be compared in terms of their attractiveness as w...

The ReOrient knowledge base.

Other
Wigan, M. & Kukla, R. (2007)
The ReOrient knowledge base.
REORIENT will create a Knowledge Base, which will serve as a repository of information, data and outputs from its analytical work and will support the Commission in formulatin...

RKB: A Knowledge base to support research documentation, data, GIS, spatial data and communications for a major rail freight project.

Conference Proceeding
Wigan, M., Kukla, R., Benjamins, M., & Grashoff, P. (2006)
RKB: A Knowledge base to support research documentation, data, GIS, spatial data and communications for a major rail freight project. In Proceedings of the European Transport Conference 2007
The paper places data and document access, use and exploration systems in the context of the Data Observatories movement, as well as the document repository systems now becomi...

Converting an existing taxonomic data resource to employ an ontology and LSIDs.

Conference Proceeding
Kennedy, J., Gales, R., & Kukla, R. (2006)
Converting an existing taxonomic data resource to employ an ontology and LSIDs. In L. Belbin, A. Rissoné, & A. Weitzman (Eds.), Proceedings of TDWG (2006), St Louis, MI
Data sharing is fundamental to biodiversity and taxonomic data applications, however previous attempts at developing mechanisms to facilitate sharing within the community have...

Developing a core ontology for taxonomic data.

Conference Proceeding
Kennedy, J., Gales, R., Hyam, R., Kukla, R., Wieczorek, J., Hagedorn, G., …Vieglais, D. (2006)
Developing a core ontology for taxonomic data. In L. Belbin, A. Rissoné, & A. Weitzman (Eds.), Proceedings of TDWG (2006), St Louis, MI
Over recent years several sub-groups within the Taxonomic Databases Working Group (TDWG) have developed models and exchange standards to facilitate data sharing within the tax...

A standard data model representation for taxonomic information.

Journal Article
Kennedy, J., Hyam, R., Kukla, R., & Paterson, T. (2006)
A standard data model representation for taxonomic information. OMICS, 10, 220-230. doi:10.1089/omi.2006.10.220
The names used by biologists to label the observations they make are imprecise. This is an issue as workers increasingly seek to exploit data gathered from multiple, unrelated...

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