University of Cambridge
My research interests include evolutionary computation modelling, associative memory and multimodal neuroimaging analysis for semantic and syntax stimulus. I hold a undergraduate degree in Computer Science, postgraduate degree in business Information technology and PhD in Computer Science(Artificial Intelligence).
Jamshed, F. (2012). A basic Framework for Grounding Symbols by using Cell Assemblies that Emerges from Simulated Neurons. (PhD thesis). Middlesex University, London.
Huyck, C., Belavkin, R., Jamshed, F., Nadh, K., Passmore, P., Byrne, E. And Diaper, D. (2011). “CABot3: A Simulated Neural Games Agent” NeSy'11. Seventh International Workshop on. Neural-Symbolic Learning and Reasoning. Workshop at IJCAI-11, Barcelona, Catalonia, Spain. (NeSy’11).
Jamshed, F. and Huyck, C. (2010). “Grounding Symbols: Learning and Grounding 2D Shapes using Cell Assemblies that emerge from fLIF Neurons.” Submitted to Symposium on AI-Inspired Biology (AIIB) organised by Artificial Intelligence and Simulation of Behaviour (AISB’10).
Jamshed, F. and Huyck, C. (2009). “Grounding Symbols: Labelling and Resolving Pronoun Resolution with fLIF Neurons” International Conference on Machine Learning and Applications (ICML 09).