Amir Hussain (cognitive scientist)

Amir Hussain
Amir Hussain
Residence Glasgow, United Kingdom
Nationality British
Occupation Professor, University Of Stirling
Academic background
Education PhD University of Strathclyde
Academic work
Website www.cs.stir.ac.uk/~ahu/

Amir Hussain [1][2] is a cognitive scientist,[3] the director of Cognitive Big Data Informatics[4] (CogBID) Research Lab at the University Of Stirling.[5] He is a professor of computing science.[6][7] He is founding Editor-in-Chief of Springer Nature's internationally leading Cognitive Computation journal[8] and the new Big Data Analytics journal.[9] He is founding Editor-in-Chief for two Springer Book Series: Socio-Affective Computing[10] and Cognitive Computation Trends,[11] and also serves on the Editorial Board of a number of other world-leading journals including, as Associate Editor for the IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Systems, Man and Cybernetics (Systems) and the IEEE Computational Intelligence Magazine.

Key achievements

  • Prof Hussain has co-authored 3 international patents, more than 320 papers, including 120+ international journal papers, over 12 co-authored Books/monographs and over 70 Book chapters to-date (March 2018).
  • He is founding Editor-in-Chief of two internationally-leading journals: Springer's Cognitive Computation (ISI SCI Impact Factor (IF): 3.44) and BMC Big Data Analytics. He serves on Editorial Boards of several other world-leading journals in his field, including the IEEE Transactions on Neural Networks and Learning Systems (IF: 6.1), IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Computational Intelligence Magazine (IF: 6.3), and Frontiers in Human Neuroscience (top cited journal in Psychology, with IF: 3.2).
  • In 2017, in an independent survey () published in Elsevier's leading Information Processing Management journal, Prof Amir Hussain and his collaborator (also former PhD student), Dr Erik Cambria, were ranked as the world's top two most productive/influential[12] researchers in the field of Sentiment Analysis (since 2000).
  • His works on biologically-inspired, multi-modal sentiment & opinion mining are amongst the most highly cited papers in the field. For example, his paper with Poria S, Cambria E, Howard N, and Huang G-B, on "Fusing audio, visual and textual clues for sentiment analysis from multimodal content", published in (Elsevier) Neurocomputing 174: 50-59 (2016), is an ISI highly cited paper. His paper titled: 'Application of multi-dimensional scaling and artificial neural networks for biologically inspired opinion mining',[13] published in 2013 is one of the most highly cited papers during 2014, 2015 and up until June 2016.
  • His pioneering research on Sentic Computing (natural language 'concept'-based sentiment and emotion analysis), was awarded the top “4* (Outstanding)” (industrial) Impact evaluation by UK Government’s REF2014 exercise. It was also awarded the Best Performing Approach Award for 'Semantic Parsing' Task at the joint-industry & academic-led 'Concept-Level Sentiment Analysis Challenge (SemWebEval)', organized as part of the 11th Extended Semantic Web Conference (ESWC 2014), Greece.
  • He is General co-Chair of the IEEE World Congress on Computational Intelligence (IEEE WCCI'2020) being held in Glasgow, 19-25 July 2020. WCCI is the world's largest and top ranked international event on computational intelligence, organized by the IEEE Computational Intelligence Society (CIS). He is Vice-Chair of the IEEE CIS Technical Committee on Emerging Topics in CI.

Research

Prof Hussain’s personal and collaborative research mainly centres around developing and applying novel cognitively-inspired multi-modal computational intelligence and machine learning techniques to a range of complex real-world applications. More generally, he is interested in novel cross-disciplinary research for brain-inspired modelling, analysis and control for engineering the complex systems of tomorrow – both theory and applications.

He has co-authored 3 international patents, more than 320 papers, including 120+ international journal papers, over 12 co-authored Books/monographs and over 70 Book chapters to-date (March 2018). He has published in leading high impact journals including, amongst others: IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics, IEEE Intelligent Systems, IEEE Computational Intelligence, IEEE Transactions on Communications, IEEE Communications Magazine, IEEE Sensors Journal, Neural Networks, Knowledge Based Systems (KBS), IET Proceedings on Vision, Image & Signal Processing, Neurocomputing, Speech Communication, (IET) Electronics Letters, Journal of Theoretical Biology, and others.

Selected works

Selected books

Selected, recent (highly-cited) research articles

  • Mahmud M, Kaiser M S, Hussain A and Vassanelli S, "Applications of Deep Learning and Reinforcement Learning to Biological Data," in IEEE Transactions on Neural Networks and Learning Systems, vol. PP, no. 99, pp. 1-17 (2018) (doi: 10.1109/TNNLS.2018.2790388)
  • Poria S, Cambria E, Bajpai R, Hussain A: A Review of Affective Computing: From Unimodal Analysis to Multimodal Fusion, (Elsevier) Information Fusion, Vol. 37, pp.98-125 (2017)
  • Poria S, Cambria E, Howard N, Huang G-B, Hussain A: Fusing audio, visual and textual clues for sentiment analysis from multimodal content. (Elsevier) Neurocomputing 174: 50-59 (2016)
  • Hussain, A., Cambria, E., Schuller, B., Howard, N. (2014). Affective Neural Networks and Cognitive Learning Systems for Big Data Analysis, Neural Networks, Special Issue, 58, 1-3.
  • Poria S, Gelbukh A, Hussain A, Howard N, Das D and Bandyopadhyay S, "Enhanced SenticNet with Affective Labels for Concept-Based Opinion Mining," in IEEE Intelligent Systems, vol. 28, no. 2, pp. 31-38 (March-April 2013) (doi: 10.1109/MIS.2013.4)
  • Cambria E, Livingston A, Hussain A: The Hourglass of emotions In Lecture Notes in Computer Science,(LNCS), Springer-Verlag, Berlin Heidelberg, vol. 7403, 144-157, 2012
  • Cambria E, Havasi C, Hussain A: SenticNet 2: A Semantic and Affective Resource for Opinion Mining and Sentiment Analysis. In Proceedings of the 25th International Florida Artificial Intelligence Research Society (FLAIRS) Conference, Marco Island, Florida. May 23–25, 2012. AAAI Press, 202-207, 2012
  • Poria, S., Agarwal, Basant., Gelbukh, A., Hussain, A., Howard, N. (2014) Dependency-Based Semantic Parsing for Concept-Level Text Analysis. Computational Linguistics and Intelligent Text Processing. Lecture Notes in Computer Science, 8403, 113-127

International recognition

References

  1. ↑ Gogate, Mandar. "Dr. Amir Hussain | Computing Science and Mathematics | University of Stirling". www.cs.stir.ac.uk. Retrieved 2017-05-24.
  2. ↑ "Prof Amir Hussain - Google Scholar Citations". scholar.google.co.uk. Retrieved 2017-05-24.
  3. ↑ "Cognitive science". Wikipedia. 2017-05-03.
  4. ↑ "CogBID Lab | Cognitive Big Data Informatics Research Lab | University Of Stirling". cogbid.cs.stir.ac.uk. Retrieved 2017-05-24.
  5. ↑ "University of Stirling: undergraduate courses, postgraduate courses and research in Scotland – Home – University of Stirling". www.stir.ac.uk. Retrieved 2017-05-24.
  6. ↑ Cochrane, Graham. "Computing Science and Mathematics, University of Stirling". www.cs.stir.ac.uk. Retrieved 2017-05-24.
  7. ↑ Cochrane, Graham. "Staff List for Computing Science and Mathematics, University of Stirling, SCOTLAND". www.cs.stir.ac.uk. Retrieved 2017-05-24.
  8. ↑ "Cognitive Computation - incl. option to publish open access". springer.com. Retrieved 2017-05-24.
  9. ↑ "Big Data Analytics". Big Data Analytics. Retrieved 2017-05-24.
  10. ↑ Socio-Affective Computing.
  11. ↑ Cognitive Computation Trends.
  12. ↑ Piryani, R.; Madhavi, D.; Singh, V. K. (2017-01-01). "Analytical mapping of opinion mining and sentiment analysis research during 2000–2015". Information Processing & Management. 53 (1): 122–150. doi:10.1016/j.ipm.2016.07.001.
  13. ↑ Cambria, Erik; Mazzocco, Thomas; Hussain, Amir (2013-04-01). "Application of multi-dimensional scaling and artificial neural networks for biologically inspired opinion mining". Biologically Inspired Cognitive Architectures. 4: 41–53. doi:10.1016/j.bica.2013.02.003.
  14. ↑ Sentic Computing - A Common-Sense-Based Framework for | Erik Cambria | Springer.
  15. ↑ Cognitively Inspired Audiovisual Speech Filtering - Towards an | Andrew Abel | Springer.
  16. ↑ Sentic Computing - Techniques, Tools, and Applications | Erik Cambria | Springer.
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