Currently Happening

Congratulations to Youqian Zhang for receiving the 2017 Ivor Tupper Prize for Excellence in Signal Processing, Broadcast and Video Technology, for his MSc project "Signal Processing for Emotional Intelligence", supervised by myself, Tricia and Theerasak
The era of hearables: The full Electrocardioagram (ECG) from the ear canal "Hearables: Feasibility of recording cardiac rhythms freom head and in-ear locations", Royal Society Open Science, pp. 1-13, 2017. DOI: 10.1098/rsos.171214 (see also http://www.commsp.ee.ic.ac.uk/~mandic/research/EEG_BCI_Research.htm)
The era of hearables: EEG and physiological signals from the ear canal "Hearables: Multimodal physiological in-ear sensing", Nature Scientific Reports, vol. 7, article 6948, pp. 1-10, 2017. (see also http://www.commsp.ee.ic.ac.uk/~mandic/research/EEG_BCI_Research.htm)
New: Our monograph on tensor networks for big data analytics. A. Cichocki, N. Lee, I. Oseledets, A.-H. Phan, Q. Zhao, and D. P. Mandic, "Tensor decompositions for dimensionality reduction and large-scale optimisation. Part 1: Low-rank tensor decompositions", Foundations and Trends in Machine Learning, vol. 9, no. 4-5, pp. 249-429, 2016.
New: Our special issue "Information Theory Applied to Physiological Signals," in Entropy. Guest editors: D. Mandic, A. Cichocki, and C-K Peng. The deadline for paper submission is 1 September 2017. [pdf]
Automatic sleep scoring from Ear-EEG "Automatic sleep monitoring using Ear-EEG", IEEE Journal of Translational Engineering in Health and Medicine, vol. 5, no. 1, pp. 2168-2372, 2017. (see also http://www.commsp.ee.ic.ac.uk/~mandic/research/EEG_BCI_Research.htm)
Ear-EEG for sleep scoring "Wearable In-Ear Encephalography Sensor for Monitoring Sleep: Preliminary Observations from Nap Studies", Annals of the Americal Thoracic Society, September, 2016. (see also http://www.commsp.ee.ic.ac.uk/~mandic/research/EEG_BCI_Research.htm)
Congratulations to Guiseppe Calvi for receiving the 2016 Ivor Tupper Prize for Excellence in Signal Processing, Broadcast and Video Technology, for his MSc project "Complexity Science Based Index of Financial Stress", supervised by myself, Apit and Theerasak
Financial stress: Quantifying Thome-Zeeman catastrophe theory "Financial stress through complexity science", IEEE Journal on Selected Topics in Signal Processing, vol. 10, no. 6, pp. 1112-1126, 2016. (0ur algorithms for modelling human stress work in finance)
Multiscale Signal Processing for Wearable Health: Sleep, Stress, and Fatigue Applications , Tutorial at the IEEE ICASSP, Shanghai, China, 2016, Danilo Mandic and Valentin Goverdovsky
A teaching resourse: "On the intrinsic relationship between the least mean square and Kalman filters", IEEE Signal Processing Magazine, November, 2015. (note the crossed-out typo on page 2)
New: Our special issue in IEEE Journal on Selected Topics in Signal Processing on Financial Signal Processing and Machine Learning for Electronic Trading. The deadline for paper submission is 1 October 2015.
Join our workshop on Ultra-Wearable Physiological Sensing on Wednesday 17 June 2015, 14:30-17:40, room 611, Electrical Engineering Department
Congratulations to Cyrus Jahanchahi for winning the Eryl Cadwaladr Davies Prize for the best doctoral thesis in our Department in the 2013/2014 generation. The thesis title is "Quaternion Valued Adaptive Signal Processing".
Computational Intelligence for Wearable Physiological Sensing , Tutorial at the IEEE IJCNN, 2015, Danilo Mandic and Valentin Goverdovsky
Can we model larger data sizes than the number of atoms in the Universe - tensors answer. "Tensor Decompositions for Signal Processing Applications", IEEE Signal Processing Magazine, vol. 32, no. 2, pp. 145-163, 2015.
A mathematical microscope into intrinsic signal properties: D. Looney, A. Hemakom, and D. P. Mandic, "Intrinsic multiscale analysis: A multivariate empirical mode decomposition framework", Proceedings of the Royal Society A, vol. 471, no. 2173, pp. 1-28, 2015.
V. Goverdovsky, D. Looney, P. Kidmose, C. Papavassiliou, and D. P. Mandic, "Co-located multimodal sensing: A next generation solution for wearable health", IEEE Sensors Journal, vol. 15, no. 1, pp. 138-145, 2015.
President's Award for Excellence in Research Supervision 2014.
I am delighted that Imperial College has recognised my postgraduate research supervision with this award
Congratulations to Thayne Thanthawaritthisai for the Department Prize for Outstanding Achievement in his MSc course in 2014. His project "Hyper-complex adaptive filters and their real-world applications", was jointly supervised by myself and Prof Tony Constantinides
Congratulations to Dimitris Christodolou for the best Final Year Project Award in 2014, for his project "Fatigue monitoring from multimodal physiological responses", jointly supervised by myself and Dr David Looney
Congratulations to: Dr Valentin Goverdovsky for winning the Eric Laithwaite Prize for the best research poster in our Department in 2014. Poster title: V. Goverdovsky, D. Looney and D. Mandic, "Co-located Multimodal Sensing"
PhD vacancy (appointment made): ``Investigating Sports Related Concussion with a Wearable In-Ear System for Continuous Monitoring of Brain and Body Functions''. For more detail see http://www3.imperial.ac.uk/neurotechnology/cdt/projects
New: Our special issue in IEEE Journal on Selected Topics in Signal Processing on Signal Processing in Smart Electric Power Grid. The deadline for paper submission is 1 October 2013.
New: Our special issue in IEEE Transactions on Neural Networks and Learning Systems on Complex- and Hyper-Complex Neural Networks. it is almost there ..., second half of 2014.
Multivariate instantaneous frequency? D. P. Mandic, N. Rehman, Z. Wu, and N. E. Huang, , "Empirical mode decomposition based time-frequency analysis of multivariate signals", IEEE Signal Processing Magazine, vol. 30, no. 6, pp. 74-85, 2013.
Can we quantify stress levels? A. Williamon, L. Aufegger, D. Wasley, D. Looney, and D. P. Mandic, , "Complexity of physiological responses decreases in high stress musical performanc", Royal Society Interface, vol. 10, no. 89, pp. 1-6, 2013.
The Ear-EEG is born! "The In-the-Ear Recording Concept", IEEE Pulse Magazine, vol. 3, no. 6, pp. 32-42, 2012.
Congratulations to Dr David Looney for winning the Eric Laithwaite Prize for the best research poster in our Department in 2012, entitled D. Looney and D. Mandic "Ear-EEG: Continuous and Wearable Brain Monitoring" For more detail see the Departmental page
Our Sensor Signal Processing for Defence Conference (SSPD'12) just finished.
Congratulations to Soroush Javidi for the Best PhD Thesis Award in our Department, entitled "Adaptive Signal Processing for Noncircular Complex Data", and for appearing in the August issue of the Inside Signal Processing eNewsletter
Mini-Workshop "Modelling Selective Attention", 3 July 2012.
Music and Emotion - Our appearance in the Channel 4 scientific programme
Class of Widely Linear Kalman Filters, IEEE Transactions on Neural Networks and Learning Systems, vol. 23, no. 5, pp. 775-786, 2012. (pdf)
New: A New, 10 times faster Matlab code for Multivariate Empirical Mode Decomposition (MEMD)
New: M. U. Ahmed and D. P. Mandic, "Multivariate multiscale entropy: A tool for complexity analysis of multichannel data," Physical Review E, vol. 84, no. 6, pp. 061918-1 – 061918-10, 2011. [pdf] [MATLAB code] [Zipped content]
Congratulations to: Miss Mingxuan Wang, for producing the best MSc thesis in our Communications and Signal Processing Master's course (entitled: Fast adaptive filtering algorithms for quaternion valued data)
C. Cheong-Took, D. P. Mandic, and F. Zhang, "On Unitary Diagonalisation of a Special Class of Quaternion Matrices ," Applied Mathematics Letters, vol. 24, pp. 1806-1809, 2011. [pdf]
Best Student Paper Award: L. Li, Y. Xia, B. Jelfs, J. Cao, and D. P. Mandic, "Modelling of Brain Consciousness Based on Collaborative Adaptive Filters", in ISNN 2010, Shanghai, China, 6-9 June 2010.
Augmented Second-Order Statistics of Quaternion Random Signals, Signal Processing, vol. 91, pp. 214-224, 2011. (pdf)
A Widely Linear Quaternion Valued Adaptive Filter, IEEE Transactions on Signal Processing, vol. 58, no. 8, pp. 4427-4431, 2010. (pdf)
How about time-frequency analysis for multichannel and nonstationary data: Multivariate Empirical Mode Decomposition (EMD), Proceedings of the Royal Society A, vol. 466, no. 2117, pp. 1291-1302, 2010. (pdf, matlab, datasets, and supplement)
Augmented Statistics and Widely Linear Modelling of Quaternion Valued Signals, Nov 2009. (pdf)
Our new book, published April 2009: Complex Valued Nonlinear Adaptive Filters: Noncircularity, Widely Linear and Neural Models. Read more and download the supplementary MATLAB toolbox.
The Ministry of Defence University Defence Research Centre (UDRC) launched on 4th November 2009.
Best Paper Award: at the Fifth International Conference on Intelligent Computing (ICIC'09), Ulsan, Korea, for the paper T. Rutkowski, T. Tanaka, A. Cichocki, D. Erickson, and D. P. Mandic, "Interative Component Extraction for Affective Brain Machine Interface Paradigms" , September 2009.
Best PhD Thesis Award: Congratulations to Vanessa Su Lee Goh for receiving the Eryl Cadwallader Davies Prize Best PhD Thesis Award in our Department, entitled "Adaptive Signal Processing for Noncircular Complex Data", May 2008.
Tutorial: Danilo Mandic and Isao Yamada, "Machine Learning and Signal Processing Applications of Fixed Point Theory" in the International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2007
Special Issue of Elsevier Neurocomputing, "Advances in Blind Signal Processing", D. Erdogmus, D. P. Mandic and T. Tanaka, Guest Editors, vol. 71, no. 10-12, 2008.
Our edited book: "Signal Processing Techniques for Knowledge Extraction and Information Fusion", Springer, 2008.
Best Poster Award:M. Golz, D. Sommer, and D. P. Mandic, "CEstablishing Gold Standard for Microsleep Detection in Car Drivers", in Monitoring Sleep and Sleepiness, 2007.
Best Student Paper Award: S. L. Goh, D. Popovic, and D. P. Mandic, "Complex Valued Estimation of Wind Profile and Wind Power", in IEEE MELECON, 2004.
Best Student Paper Award: K. Pauwels, T. Gautama, M. M. Van Hulle, and D. P. Mandic, "Towards Mode Detectionn", in Proc. RASC, 2002.
Check out our book:
“Recurrent Neural Networks for Prediction: Learning Algorithms, Architectures and Stability (Adaptive & Learning Systems for Signal Processing, Communications & Control)”, Wiley 2001