Nottingham University Business School
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Dr Gavin Smith

BSc (Hons) (University of South Australia), PhD (University of South Australia)
Assistant Professor in Business Analytics

Division: Marketing
Centre/Institute: N/LAB
E-mail: Gavin.Smith@nottingham.ac.uk
Tel: +44 (0) 115 7484475
Location: B01 (North Building, Jubilee Campus)

Dr. Gavin Smith is the Data Analytics/Science lead within the N-LAB. He holds a PhD in Computer Science (machine learning/data mining) and his expertise is focused on developing and deploying novel data driven algorithms that facilitate decision making in various commercial and policy context. Focusing on real-world challenges, he directly works with numerous leading national and international companies (see the http://neodemographics.org" N-Lab website for an up-to-date list).

His current research, published jointly in business and computer science venues, focuses on the efficient and effective processing of large data sets in order to better understand, summarise and predict (temporal) human behaviour while ensuring appropriate interpretability for real world impact. Personal webpage: http://nottingham.ac.uk/~pszgss/">http://nottingham.ac.uk/~pszgss/

Administrative Roles
MSc Admissions Tutor (Business Analytics)
Current Research Activities
Data driven analytics, human behaviour, temporal data mining and machine learning.
 

Publications from 2005 to the present day

Journal Articles

Rosser, G.; Morley, J.; Smith, G. (2015), "Modelling of Building Interiors with Mobile Phone Sensor Data", ISPRS International Journal of Geo-Information, Vol.4, 989-1012.

Smith, G.; Brian, C.; Ashman, H. (2012), "Evaluating implicit judgements from image search clickthrough data", Journal of the American Society for Information Science and Technology (JASIST), Vol.63(12), 2451-2462.



Conferences

Goulding, J.; Preston.S,; Smith, G. 2016, "Event Series Prediction via Non-homogeneous Poisson Process Modelling", in IEEE International Conference on Data Mining.

Iliffe, M.; Smith, A.; Roadknight, C.; Goulding, J.; Smith, G. 2016, "Mobile Money - Towards Understanding Spending Patterns in Emerging Economies", in American Marketing Association Winter Conference.

Smith, G.; Goulding, J.; Smith, A. 2016, "Beyond Customer Segmentation - Temporal Topic Modelling for Big Retail Data", in American Marketing Association Winter Conference.

Barrack, D.; Goulding, J.; Hopcraft, K.; Preston, S.; Smith, G. 2015, "AMP: a new time-frequency feature extraction method for intermittent time-series data", in SIGKDD Workshop on Mining and Learning from Time Series.

Smith, G.; Goulding, J. 2015, "A novel symbolization technique for time-series outlier detection", in IEEE International Conference on Big Data.

Barrack, D., Goulding, J., Hopcraft, K., Preston, S., Smith., G.,, 2014, "A basis projection method for the clustering of intermittent time-series,", in International Congress of Mathematicians.

Pinchin, J.; Smith, G.; Hill, C.; Moore, T.; Loram,I. 2014, "The Potential of Electromyography to Aid Personal Navigation", in Proceedings of the 27th International Technical Meeting of the Satellite Division of The Institute of Navigation.

Smith, G.; Wieser, R.; Goulding, J.; Barrack, D. 2014, "A Refined Limit on the Predictability of Human Mobility", in IEEE International Conference on Pervasive Computing and Communications.

Dimond, M.; Smith, G.; Goulding,J. 2013, "Improving Route Prediction through User Journey Detection", in ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems.

Smith, G; Goulding, J.; Barrack, D. 2013, "Towards optimal symbolization for time series comparisons", in IEEE International Conference on Data Mining Workshops (ICDMW).

Dimond, M., Smith, G., Goulding, J. 2012, "Evaluating extraction functions for detection of users\' journeys,", in LBS 2012, 9th Symposium on Location Based Services.

Dimond, M.; Smith, G.; Goulding, J.; Jackson, M.; Meng, X. 2012, "Comparing predefined and learned trajectory partitioning with applications to pedestrian route prediction", in GIS Research UK Conference.

Goulding, J.; Smith, G.; Barrack, D. 2012, "Neo-demographics and Distributions in the Digital Shadow", in Third Annual Digital Economy All Hands Conference.

Smith , G.; Morley, J. 2012, "Full floor identification in images with minimal close range 3D information", in IEEE International Conference on Image Processing.

Smith, G.; Goulding, J. 2011, "Pedestrian Route Prediction from GPS Logs using Augmented Cover Trees", in ECML-PKDD: International Workshop on Finding Patterns of Human Behaviors in Networks and Mobility Data.

 

 

Nottingham University Business School

Jubilee Campus
Nottingham
NG8 1BB

telephone: +44 (0) 115 846 6602
fax: +44 (0) 115 846 6667
email: business-enquiries@nottingham.ac.uk