Prof. Amir HUSSAIN
Cognitive Big Data Informatics for Future Engineering Systems: Real world case studies and emerging research challenges
Cognitive Big Data Informatics is a rapidly developing discipline, bringing together neurobiology, cognitive psychology, Big Data and artificial intelligence. Ongoing pioneering work at Stirling University is exploring the development of cognitively-inspired Big Data Informatics for engineering the intelligent systems of tomorrow. Two case studies are introduced in this talk. First, on-going research into cognitively-inspired multi-modal speech perception has led to the development of a novel context-aware audio-visual speech processing system. The proposed framework exploits cognitively inspired use of both audio and visual (including lip-tracking) information, with potential applications in next-generation multimodal hearing aids, listening devices and related assistive technology. The second case study focuses on open-domain sentiment analysis of natural language text using sentic computing: a novel multi-disciplinary paradigm, exploiting the semantic, latent and implicit meaning of natural language concepts. Ongoing extensions of this work include a cognitively-inspired emotion recognition system based on contextual multimodal input, including text, audio and facial information, leading to more natural human computer interaction in future social robotics applications. We present a brief summary of these exciting multi-disciplinary research areas, and outline some future research directions and challenges.
Amir Hussain is full Professor of Computing Science, founding Director of the Cognitive Big Data Informatics (CogBID) Research Laboratory, and Head of the Data Science and Security Research Group at the University of Stirling in Scotland, UK. He obtained his BEng in Electronic and Electrical Engineering (with the highest 1st Class Honours, with distinction) and PhD (in novel neural network architectures and algorithms for real-world applications), both from the University of Strathclyde in Glasgow, UK, in 1992 and 1997 respectively. Professor Hussain’s research interests are cross-disciplinary and industry focused, aimed at pioneering next-generation brain-inspired multi-modal Big Data cognitive technology for solving complex real world problems. In 2016, he was ranked, in an independent survey published in Elsevier’s leading Information Processing and Management Journal, as one of the world’s top two most productive, highly cited researchers in the sentiment analytics field (since 2000).He has (co)authored more than 300 publications (with more than 100 journal papers, and a dozen Books, including the world’s first research monographs in the multi-disciplinary areas of: cognitively-inspired audio-visual speech filtering, sentic computing, and cognitive agent based computing).He has led major multi-disciplinary research projects (worth over $3million, including over $0.5m of currently held grants), as Principal Investigator, funded by national and European research councils, local and international charities and industry, and has supervised more than 25 PhDs to-date. He is founding Editor-in-Chief of (Springer Nature’s) Cognitive Computation journal and the (Bio Med Central (BMC)/Springer Nature) journal: BMC Big Data Analytics. He also serves as Associate Editor of several other leading journals including, the IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Systems, Man and Cybernetics (Systems) and the IEEE Computational Intelligence Magazine. He is Vice-Chair of the Emergent Technologies Technical Committee of the IEEE Computational Intelligence Society, and Chapter Chair of the IEEE UK & RI Industry Applications Society Chapter. He is a Senior Fellow of the Brain Sciences Foundation (USA).