I'm currently a EPSRC funded PhD candidate in the School of Informatics at the University of Edinburgh, where I am a member of the Institute for Language, Cognition and Computation. My supervisors are Dr Victor Lavrenko and Dr Miles Osborne.

My thesis investigates novel quantisation and projection schemes for approximate nearest neighbour search using hashing techniques. The outcome of my thesis will be methods that permit more accurate image/document retrieval over large-scale datasets where the database items are represented by compact binary codes. I have also previously worked within the fields of image and video retrieval.

I hold an MSc degree (in Informatics) from the University of Edinburgh and an MA degree (Computer Science and Management) from the University of Cambridge.

I am a reviewer for the Transactions on Pattern Analysis and Machine Learning (TPAMI) journal.


Curriculum Vitae

I aim to complete my PhD thesis mid 2015. Currently seeking data science/machine learning roles in industry beginning summer 2015. I am interested in roles involving image and text analytics. I have extensive prior industrial (3+ years) and scientific research (6+ years) experience with a solid track record of delivering on complex projects. Please contact me for a copy of my CV.

View Sean Moran's profile on LinkedIn


Publications


10. A Sparse Kernel Relevance Model for Automatic Image Annotation
Moran, S., Lavrenko, V. (2014)
International Journal of Multimedia Information Retrieval (IJMIR)
Journal Paper: Soon. Citation: Soon
9. Real-Time Detection, Tracking and Monitoring of Discovered Events in Social Media
Osborne, M., Moran, S., McCreadie, R., Von Lunen, A., Sykora, M., Cano, E., Ireson, N., MacDonald, C., Ounis, I., He, Y., Jackson, T., O'Brien, A. (2014)
Association for Computational Linguistics (ACL), Baltimore, USA.
Paper: PDF. Citation: Soon
8. Sparse Kernel Learning for Image Annotation
Moran, S., Lavrenko, V. (2014)
International Conference on Multimedia Retrieval (ICMR), Glasgow, Scotland. Oral Presentation. Best Student Paper Award.
Paper: PDF. Poster: PDF. Talk: PDF. Citation: Bibtex
7. Optimal Kernel Shape and Bandwidth for Atomistic Support of Continuum Stress
Ulz, M., Moran, S. (2013)
Modelling and Simulation in Materials Science and Engineering (MSMSE).
Journal Paper: PDF. Citation: Bibtex
6. Variable Bit Quantisation for LSH
Moran, S., Lavrenko, V., Osborne, M. (2013)
Association for Computational Linguistics (ACL), Sofia, Bulgaria. Oral Presentation
Paper: PDF. Talk: PDF. Poster: PDF. Citation: Bibtex. Datasets: Reuters-21578, TDT2, CIFAR-10.
5. Neighbourhood Preserving Quantisation for LSH
Moran, S., Lavrenko, V., Osborne, M. (2013)
Special Interest Group on Information Retrieval (SIGIR), Dublin, Ireland.
Paper: PDF. Poster: PDF. Citation: Bibtex. Datasets: Labelme-22k, 100k TinyImages, CIFAR-10.
4. A Gaussian mixture modelling approach to the data-driven estimation of atomistic support for continuum stress
Ulz, M., Moran, S. (2012)
Modelling and Simulation in Materials Science and Engineering (MSMSE). MSMSE Highlight of 2012
Journal Paper: PDF. Abstract: PDF. Talk: PDF. Citation: Bibtex
3. Optimal Tag Sets for Automatic Image Annotation
Moran, S., Lavrenko, V. (2011)
British Machine Vision Conference (BMVC), Dundee, UK. Oral Presentation
Abstract: PDF. Paper: PDF. Talk: PDF. Citation: Bibtex
2. Using the Grid for Satellite Imagery with UNOSAT
Moran, S., Lorenzo, P. (2005)
1st IEEE International Conference on e-Science and Grid Computing: Deploying Production Grids - Beyond the Hype, Melbourne, Australia (Workshop)
Paper: PDF
1. Robust Fusion of Colour Appearance Models for Object Tracking
Town, C., Moran, S. (2004)
British Machine Vision Conference (BMVC), Kingston, UK
Paper: PDF


Other

\ 3. Video Inpainting
Moran, S.
Literature survey, School of Informatics, University of Edinburgh.
PDF
2. Automatic Image Tagging
Moran, S.
MSc Disstertaion, School of Informatics, University of Edinburgh.
Dissertation: PDF. Citation: Soon
1. Linking Video Segments to Relevant Wikipedia Content
Lavrenko, V., Moore, J., Moran, S. (2010)
IDEA Lab research project
Poster: PDF.


Teaching Experience

Autumn '11-'13 Introductory Applied Machine Learning
Teaching Assistant, Tutor, Demonstrator, Marker


Invited Talks

August '13 Graz University of Technology (Austria)
Variable Bit Quantisation for LSH. Talk: PDF