Dr Julie Wall BSc MSc FHEA

Dr Julie Wall received the M.Sc. and Ph.D. degrees in Computing and Intelligent Systems from the University of Ulster in 2006 and 2010, respectively. She was a post-doctoral researcher with the Intelligent Systems Research Centre, University of Ulster during 2010/2011 and with the School of Electronic Engineering and Computer Science, Queen Mary, University of London during 2011/2015. Her research interests include the study and development of biologically inspired computational models of auditory related neural circuit, spiking neural networks, machine learning and embedding adaptive behaviours in semi-autonomous avatars. Julie has been with the University of East London as a Senior Lecturer in Computer Science since June 2015.

Wall, J., Glackin, C., Cannings, N., Chollet, G., Dugan, N., “Recurrent lateral inhibitory spiking networks for speech enhancement,” IEEE International Joint Conference on Neural Networks (IJCNN), 2016.

Doumanis, I., Wall, J. and Monaghan, D., “Playing immersive games on the REVERIE platform”, Workshop on Virtual Environments and Advanced Interfaces (VEAI), October 2015.

M Pasin, A Frisiello, J Wall, S Poulakos, A Smolic, “A Methodological Approach to User Evaluation and Assessment of a Virtual Environment Hangout”, 7th International Conference on Intelligent Technologies for Interactive Entertainment (INTETAIN), June 2015.

Wall, J., Izquierdo, E., Argyriou, L., Monaghan, D., O’Connor, N., Poulakos, S., Smolic, A. & Mekuria, R., “REVERIE: Natural Human Interaction in Virtual Immersive Environments”, 21^st IEEE International Conference on Image Processing (ICIP), pp. 2022-2024, 2014.

Wall, J. and Glackin, C., EBook: “Spiking Neural Network Connectivity and its Potential for Temporal Sensory Processing and Variable Binding”, Frontiers Media SA., ISBN: 978-2-88919-239-7, 2014.

O’Connor, N.E., Alexiadis, D., Apostolakis, K., Daras, P., Izquierdo, E., Li, Y., Monaghan, D.S., Rivera, F., Stevens, C., Van Broeck, S., Wall, J. & Wei, H., “Tools for User Interaction in Immersive Environments”, MultiMedia Modeling, pp. 382-385, Springer International Publishing, 2014.

Wall, J. and Glackin, C., “Spiking Neural Network Connectivity and its Potential for Temporal Sensory Processing and Variable Binding”, Frontiers in Computational Neuroscience, vol. 7, no. 182, 2013.

Mauro, D.A., Poulakos, S., O’ Connor, N.E., Monaghan, D., Gowing, M., Fechteler, P., Wall, J. & Izquierdo, E., “Advancements and Challenges towards a Collaborative Framework for 3D Tele-Immersive Social Networking”, 4th IEEE International Workshop on Hot Topics in 3D (Hot3D), 2013.

Kuijk, F., Dareau, C., Ravenet, B., Ochs, M., Apostolakis, K., Daras, P., Monaghan, D., O'Connor, N., Wall, J., Izquierdo, E. & Van Broeck, S., “A Framework for Human-like Behavior in an Immersive Virtual World”, 18th International Conference on Digital Signal Processing, DSP, 2013.

Wall, J. and Izquierdo, E., “Fuzzy Ensembles for Embedding Adaptive Behaviours in Semi-Autonomous Avatars in 3D Virtual Worlds”, 18th International Conference on Digital Signal Processing, DSP, 2013.

Fechteler, P., Eisert, P., Hilsmann, A., Mauro, D., Broeck, S., Kuijk, F., Monaghan, D., Cesar, P., Daras, P., Wall, J., Zahariadis, T., Mekuria, R., Sanna, M., Alexiadis, D. & Stevens, C., “A Framework for Realistic 3D Tele-Immersion”, International Conference on Computer Vision / Computer Graphics Collaboration Techniques and Applications (Mirage), 2013.

Wall, J. A., McDaid, L. J., Maguire, L. P. & McGinnity, T.M. "Spiking neural network model of sound localisation using the interaural intensity difference", IEEE Transactions on Neural Networks, vol. 23, no. 4, pp. 574—586, 2012.

Wall, J. A., McGinnity, T. M. & Maguire, L. P., “Using the interaural time difference and cross-correlation to localise short-term complex noises,” The 22nd Irish Conference on Artificial Intelligence and Cognitive Science (AICS), pp. 375, 2011.

Wall, J. A., McGinnity, T. M. & Maguire, L. P., “A comparison of sound localisation techniques using cross-correlation and spiking neural networks for mobile robotics,” IEEE International Joint Conference on Neural Networks (IJCNN), 2011.

Glackin, B., Wall, J. A.,  McGinnity, T.M., Maguire, L. P. & McDaid, L. J. "A Spiking Neural Network Model of the Medial Superior Olive using Spike Timing Dependent Plasticity for Sound Localisation", Frontiers in Computational Neuroscience, vol. 4, pp. 1-16, 2010.

Wall, J. A., McDaid, L. J., Maguire, L. P. & McGinnity, T.M. "Spiking neuron models of the medial and lateral superior olive for sound localisation", IEEE International Joint Conference on Neural Networks (IJCNN) (IEEE World Congress on Computational Intelligence), pp. 2641-2647, 2008.

Wall, J. A., McDaid, L. J., Maguire, L. P. & McGinnity, T. M. "A spiking neural network implementation of sound localisation", Proc. of the IET Irish Signals and Systems, pp. 19-23, 2007

Wall, J. “Perception-based Modelling of System Behaviour,” Proc. of the IEEE Systems, Man and Cybernetics Society, pp. 312-317, 2006.

In Press

‘International Women’s Day 2016: Women in tech have their say’, Tech City News, March 2016, http://techcitynews.com/2016/03/08/international-womens-day-2016-women-in-tech-have-their-say/

‘The rise of the machines: How AI can transform our lives’, Tech City News, July 2016, http://techcitynews.com/2016/07/21/rise-machines-ai-can-transform-lives/

Presentations

Wall, J., Glackin, C., ‘Speech enhancement with recurrent lateral inhibitory spiking networks’, UEL Research Conference, 2016

Wall, J., Poster: "Deep Laterally Recurrent Spiking Neural Networks for Speech Enhancement", UEL Computing & Engineering Showcase, June 2016 

CN5121 Data Structures and Algorithms

CN4101 Information Systems Modelling and Design

CN5101 Database Systems