- Professor David Lovell
- Head of School
Science and Engineering Faculty,
Electrical Engineering, Computer Science,
Electrical Engineering and Computer Science
- Discipline *
- Electrical and Electronic Engineering
- +61 7 3138 1678
- +61 7 3138 0260
- View location details (QUT staff and student access only)
- Identifiers and profiles
PhD (University of Queensland), PGDipMgmt (Macquarie University), BEng(Hons 1)(Computer Systems) (University of Queensland)
- Professional memberships
- 1990– Member of the IEEE
- 2014– Secretary and member of ABACBS, the Australian Bioinformatics And Computational Biology Society
- 2012–2014 Director, Australian Bioinformatics Network
Professor David Lovell is the Head of QUT’s School of Electrical Engineering and Computer Science (EECS).
David became Head of School in December 2014 to provide leadership, support, energy and enthusiasm to EECS in all facets of the School’s research, teaching and engagement.
David graduated from the University of Queensland’s Department of Electrical Engineering in 1989 (BEng Computer Systems, Hons I) and received his PhD there in 1994 for research into artificial neural network methods for handwritten character recognition.
He completed postdoctoral research in perinatal risk prediction at Cambridge University before joining CSIRO Mathematical and Information Sciences (CMIS) in 1998. At CSIRO, David was involved in a wide range of research and consulting in the analysis of large and complex datasets, worked as Executive Officer to the CEO from 2001-02, and was a member of CSIRO’s Corporate IT Management team from 2002-04.
From 2004, David worked in research management within the quantitative biosciences domain, leading CMIS’ Statistical Bioinformatics-Agribusiness Group (2004-07), then its Bio Research Program (2007-08), until mid-2008 appointment as Bioinformatics and Analytics Leader for CSIRO’s Transformational Biology initiative.
In mid-2012, and in tandem with his role at CSIRO, David was appointed Director of the Australian Bioinformatics Network, an initiative of CSIRO, EMBL Australia and Bioplatforms Australia which has helped strengthen the Australian bioinformatics community and been instrumental in the formation of ABACBS, the Australian Bioinformatics And Computational Biology Society, of which he is Secretary.
David is a research manager and academic convinced that the most challenging and rewarding aspect of collaborative research lies in the people involved. He is committed to creative thinking, delivering benefits from R&D, fostering effective working relationships, and communicating clearly.
- 2017 Sem 1 EGH404 Engineering Research Methods. Unit coordinator.
- 2016 Sem 2 EGH404 Engineering Research Methods. Unit coordinator and developer.
- Lovell DR, Pawlowsky-Glahn V, Egozcue J, Marguerat S, Bahler J, (2015) Proportionality: A valid alternative to correlation for relative data, PLoS Computational Biology p1-12
- Nguyen CV, Lovell DR, Adcock M, Salle J, (2014) Capturing natural-colour 3D models of insects for species discovery and diagnostics, PLoS One p1-11
- Thomas P, Lovell DR, (2014) Compositional data analysis (CoDA) approaches to distance in information retrieval, Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval p991-994
- Newman J, Bolton EE, Mueller-Dieckmann J, Fazio VJ, Gallagher D, Lovell DR, Luft JR, Peat TS, Ratcliffe D, Sayle RA, Snell EH, Taylor K, Vallotton P, Velanker S, von Delft F, (2012) On the need for an international effort to capture, share and use crystallization screening data, Acta Crystallographica Section F: Structural Biology and Crystallization Communications p253-258
- Nguyen CV, Izadi S, Lovell DR, (2012) Modeling kinect sensor noise for improved 3D reconstruction and tracking, Proceedings of the 2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT 2012) p524-530
- Lovell DR, Muller W, Taylor JM, Zwart AB, Helliwell CA, (2011) Proportions, percentages, ppm: do the molecular biosciences treat compositional data right?, Compositional data analysis: Theory and applications p193-207
- La Salle J, Wheeler Q, Jackway P, Winterton S, Hobern D, Lovell DR, (2009) Accelerating taxonomic discovery through automated character extraction, Zootaxa p43-55
- Stone G, Chapman B, Lovell DR, (2009) Development of a log-quadratic model to describe microbial inactivation, illustrated by thermal inactivation of Clostridium botulinum, Applied and Environmental Microbiology p6998-7005
- Wynne JW, O'Sullivan MG, Cook MT, Stone G, Nowak BF, Lovell DR, Elliott NG, (2008) Transcriptome analyses of amoebic gill disease-affected Atlantic salmon (Salmo salar) tissues reveal localized host gene suppression, Marine Biotechnology: an international journal focusing on marine genomics, molecular biology and biotechnology p388-403
- Lovell DR, Wu Y, White RG, Machado A, Llewellyn DJ, Dennis ES, Anderssen RS, (2007) Phenotyping cotton ovule fibre initiation with spatial statistics, Australian Journal of Botany p608-617
For more publications by this staff member, visit QUT ePrints, the University's research repository.