Georgina Cosma

Georgina Cosma

Associate Professor

School of Science & Technology

Staff Group(s)
Computing and Technology

Role

Dr Cosma is Associate Professor at the School of Science and Technology.

She is course leader for MRes Computer Science and MRes Electronic Systems courses, and Module Leader for the undergraduate Information Systems Development and the postgraduate Internet Programming modules.

Career overview

Dr Cosma obtained her PhD in Computer Science from the University of Warwick in July 2008 (EPSRC funded). She joined Nottingham Trent University as Senior lecturer in 2013 and was promoted to Associate Professor in Teaching and Research in October 2018. Dr Cosma has been Associate Fellow at the University of Warwick since 2013.

Research areas

Dr Georgina Cosma's main research interests are in data science, artificial and computational intelligence.

Dr Cosma is a member of the Computational Neuroscience and Cognitive Robotics  (CNCR)  Research Group.

The group is well equipped with state of the art computational and electronics design and test equipment. Of note is a 500 core HPC cluster; and a range of high specification robots, including an iCUB, Sawyer, and Robotniq. Robotics research is facilitated with a 75m2 robot arena with VICON tracking system.

Opportunities to carry out postgraduate research towards an MPhil / PhD exist and further information may be obtained from the NTU Graduate School

Publications

A full list of publications can be found via this link: Georgina Cosma's publications

Here is a selection of publications.

Recent journal and conference publications

TAHERKHANI, A., COSMA, G. and MCGINNITY, T.M., 2018. Deep-FS: a feature selection algorithm for deep Boltzmann machines. Neurocomputing, 322, pp. 22-37. ISSN 0925-2312

COSMA, G., MCARDLE, S.E., REEDER, S., FOULDS, G.A., HOOD, S., KHAN, M. and POCKLEY, A.G., 2017. Identifying the presence of prostate cancer in individuals with PSA levels <20 ng ml−1 using computational data extraction analysis of high dimensional peripheral blood flow cytometric phenotyping data. Frontiers in Immunology, 8, p. 1771. ISSN 1664-3224

COSMA, G., BROWN, D., ARCHER, M., KHAN, M. and POCKLEY, A.G., 2017. A survey on computational intelligence approaches for predictive modeling in prostate cancer. Expert Systems with Applications, 70, pp. 1-19.ISSN 0957-4174

TAHERKHANI, A., COSMA, G., ALANI, A.A. and MCGINNITY, T.M., 2019. Activity recognition from multi-modal sensor data using a deep convolutional neural network. In: K. ARAI, S. KAPOOR and R. BHATIA, eds., Intelligent computing. Proceedings of the 2018 Computing Conference, volume 2. Advances in intelligent systems and computing. (857). Chaim: Springer, pp. 203-218. ISBN 9783030011765

SALESI, S., ALANI, ALI A., COSMA, G., 2018. A hybrid model for classification of biomedical data using feature filtering and a Convolutional Neural Network. 2018 Fifth International Conference on Social Networks Analysis, Management and Security (SNAMS), Valencia, 15 10 2018.

MACHADO, P., OIKONOMOU, A., COSMA, G. and MCGINNITY, T.M., 2018. Bio-inspired ganglion cell models for detecting horizontal and vertical movements. In: 2018 International Joint Conference on Neural Networks (IJCNN 2018), Rio de Janeiro, Brazil, 8-13 July 2018.

REDMOND, M., SALESI, S. and COSMA, G., 2017. A novel approach based on an extended cuckoo search algorithm for the classification of tweets which contain emoticon and emoji. In: Proceedings of the 2017 2nd International Conference on Knowledge Engineering and Applications (ICKEA 2017), Imperial College London, 21-23 October 2017. Piscataway, N.J.: Institute of Electrical and Electronics Engineers, pp. 13-19. ISBN 9781538621509

SALESI, S. and COSMA, G., 2017. A novel extended binary cuckoo search algorithm for feature selection. In: Proceedings of the 2017 2nd International Conference on Knowledge Engineering and Applications (ICKEA 2017), Imperial College London, 21-23 October 2017. Piscataway, N.J.: Institute of Electrical and Electronics Engineers, pp. 6-12. ISBN 9781538621509

PANDYA, B., COSMA, G., ALANI, A.A., TAHERKHANI, A., BHARADI, V. and MCGINNITY, T.M., 2018. Fingerprint classification using a deep convolutional neural network. In: 2018 4th International Conference on Information Management (ICIM2018), 25-27 May 2018, Oxford, UK. IEEE, pp. 86-91. ISBN 9781538661482

ALANI, A.A., COSMA, G., TAHERKHANI, A. and MCGINNITY, T.M., 2018. Hand gesture recognition using an adapted convolutional neural network with data augmentation. In: 2018 4th International Conference on Information Management (ICIM2018), 25-27 May 2018, Oxford, UK. IEEE, pp. 5-12. ISBN 9781538661482

MAAJI, S.S., COSMA, G., TAHERKHANI, A., ALANI, A.A. and MCGINNITY, T.M., 2018. On-line voltage stability monitoring using an Ensemble AdaBoost classifier. In: 2018 4th International Conference on Information Management (ICIM2018), 25-27 May 2018, Oxford, UK. IEEE, pp. 253-259. ISBN 9781538661482

Forthcoming publications

OLORUNTOBA O. and COSMA G. (2019) A Modified Cultural Algorithm for Feature Selection of Biomedical Data. Proceedings of the 2018 Computing Conference, volume 2. Advances in intelligent systems and computing.

See all of Georgina Cosma's publications...