Prof Hussain has co-authored 3 international patents, more than 400 papers, including 150+ international journal papers, over 12 co-authored Books/monographs and over 70 Book chapters to-date (Jan 2020).
He is founding Editor-in-Chief of two internationally-leading journals: Springer's Cognitive Computation (ISI SCI Impact Factor (IF): 4.29) 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: 11.7), IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Computational Intelligence Magazine (IF: 6.6), (Elsevier) Information Fusion (IF 10.7) and Frontiers in Human Neuroscience (top cited journal in Psychology, with IF: 3.2).
In 2017-18, in independent surveys published in leading journals ([1]) including in Elsevier's Information Processing Management journal, Prof Amir Hussain and his collaborator (and former PhD student), Dr Erik Cambria, were ranked as the world's top two most productive/influential[9] 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 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), 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 http://wcci2020.org - WCCI is the world's largest and top-ranked scientific event on computational intelligence (attended by ~2,000 delegates from academia and industry), organized by the IEEE Computational Intelligence Society (CIS). He is Vice-Chair of the IEEE CIS Technical Committee on Emerging Topics in CI.
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.
Xiong F, Sun B, Yang X, Qiao H, Huang K, Hussain A, Liu Z: "Guided Policy Search for Sequential Multitask Learning", in IEEE Transactions on Systems, Man, and Cybernetics: Systems, 49(1): 216-226 (2019) (doi: 10.1109/TSMC.2018.2800040) (SCI Impact Factor (IF): 7.35)
Zhang L, Liu Z, Zhang S, Yang X, Qiao H, Huang K, Hussain A, "Cross-modality interactive attention network for multispectral pedestrian detection", (Elsevier) Information Fusion, Vol.50, pp. 20–29 (2019)(https://doi.org/10.1016/j.inffus.2018.09.015)
Ieracitano C, Adeel A, Morabito F C, Hussain A, "A novel statistical analysis and autoencoder driven Intelligent intrusion detection approach", (Elsevier) Neurocomputing, in press, (2019) (https://doi.org/10.1016/j.neucom.2019.11.016)
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)
Scardapane S, Van Vaerenbergh S, Hussain A and Uncini A, "Complex-Valued Neural Networks With Nonparametric Activation Functions," in IEEE Transactions on Emerging Topics in Computational Intelligence (2018) (doi: 10.1109/TETCI.2018.2872600)
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)
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
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).
Vice-Chair of the IEEE CIS Technical Committee on Emerging Topics in CI.
^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.
