Currently Happening

Winners, the ICASSP 2024 EEG Decoding Grand Challenge, M. Thornton, J. Auernheimer, C. Jehn, D. P. Mandic, and T. Reichenbach, International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, South Korea, April 2024.
We have won the 2023 IEEE Engineering in Medicine and Biology Society Prize Paper Award for our paper W. von Rosenberg, T. Chanwimalueang, V. Goverdovsky, D. Looney, D. Sharp, and D. P. Mandic, "Smart Helmet: Wearable Multichannel EEG and ECG", IEEE Journal of Translational Engineering in Health and Medicine, article id 700111, pp. 1-11, 2016.
Congratulations to Dimitrios Georgakopoulos, for receiving the 2023 Ivor Tuper Prize for for excellence in Signal Processing, Broadcast and Video Technology. This prize is for his Final Year Project in the 2022-2023 cohort, Dimitrios was supervised by myself and Yao Lei Xu. Very well done Dimitrios!
Winners, the ICASSP 2023 EEG Decoding Grand Challenge, M. Thornton, D. P. Mandic, and T. Reichenbach, International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes, Greece, June 2023.
I am delighted that four of my Final Year Project (diploma) students and one MSc students have been able to publish their project work as conference papers. Arie Arya and Aaman Rebello published thir work in IEEE ICASSP 2023, Maya Golan and Arnau Bonnet Fares published their work in the DSP 2023 conference, and Haozhe Tian published in the IEEE EMBC conference. They were cosupervised by myself, Yao Lei Xu, Kriton Konstantinidis, Thanos Konstantinidis, and Edoardo Occhipinti.
Congratulations to Haozhe Tian, for receiving the 2022 Ivor Tuper Prize for for excellence in Signal Processing, Broadcast and Video Technology. This prize is for his MSc project in the 2021-2022 cohort, Haozhe was supervised by myself and Edoardo Occhipinti. Very well done Haozhe!
Congratulations to Alvaro Arroyo Nunez, for receiving the 2021 Sir Bruce White Prize in Electrical Engineering. This prize is for the Best Final Year Project in the 2020-2021 cohort, Alvaro was supervised by myself and Bruno Scalzo Dees. Very well done Alvaro!
We are the 2021 winners of the Outstanding Paper Award in the IEEE International Conference on Acoustics, Speech and Signal Processing, for our paper "Nonstationary portfolios: Diversification in the spectral domain", by B. Scalzo Dees, A. Arroyo, L. Stankovic, A. G. Constantinides, and D. P. Mandic, Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP'21, pp. 5155-5159, 2021.
Congratulations to Dr Shenxi Li for the Chinese government award for outstanding postgraduate student abroad. This is the highest award for Chinese students abroad as there are more than 500,000 Chinese graduate students abroad in the whole world. Shenxi completed his PhD in July 2021, under my supervision.
Data Analytics for Graphs, in Foundations & Trends in Machine Learning, 2020 - free download until 21 January 2021. "Data analytics on graphs. Part III: Machine learning on graphs, from graph topology to applications", Foundations & Trends in Machine Learning, vol. 13, no. 4, pp. 332-530, 2020.
"Data analytics on graphs. Part II: Signals on graphs", Foundations & Trends in Machine Learning, vol. 13, no. 2-3, pp. 158-331, 2020.
"Data analytics on graphs. Part I: Graphs and spectra on graphs", Foundations & Trends in Machine Learning, vol. 13, no. 1, pp. 1-157, 2020.
Pop up to our NeurIPS 2020 presentation. "Reciprocal adversarial learning via characteristic functions", Proceedings of NeurIPS, (a spotlight), 2020.
Pop up to our two NeurIPS 2020 workshop poster. "Multi-graph tensor networks", First Workshop on Quantum Tensor Networks in Machine Learning, NeurIPS 2020.
Browse our Special Issue. "Deep Neural Network Representation and Generative Adversarial Learning", Neural Networks, November 2020.
Beyond Gaussian Mixture Models (GMM). "A universal framework for learning the elliptical mixture model", IEEE Transactions on Neural Networks and Learning Systems, in print, 2020.
Hearables for COVID-19 symptoms? "Hn-Ear SpO2: A tool for wearable, unobtrusive monitoring of core blood oxygen saturation", Sensors, vol. 20, article 4879, pp. 1-12, 2020.
Ear-EEG for overnight sleep monitoring. "Hearables: Automatic overnight sleep monitoring with standardised in-ear sensor", IEEE Transactions on Biomedical Engineering, vol. 67, no.1, pp. 1558-2531, 2020.
Patent on multimodal electrodes for Hearables. "Biosensing Electrodes", US Patent US10463309B2, November 2019 and EU patent EP3094235B1, April 2020.
Understanding the Coherence Index in sparse estimation. "Demystifying the coherence index in compressive sensing", IEEE Signal Processing Magazine, vol. 37, no. 1, pp. 152-162, 2020.
Editor's choice article. "Vertex-frequency graph signal processing: A comprehensive review", Digital Signal Processing, vol. 107, article 102802, 2020
Patent on frequency estimation in Smart Grid. "Frequency estimation", US Patent US 9995774B2, January 2018, UK Patent GB 2506626 January 2018, EU patent EP2904407B1, April 2020.
An easy way to move into Graph Data Analytics, through examples. "Understanding the basis of graph signal processing via an intuitive example-driven approach", IEEE Signal Processing Magazine, vol. 36, no. 6, pp. 135-145, 2019.
Teaching old power systems new tricks. "A Data Analytics Perspective of Power Grid Analysis - Part 1: The Clarke and Related Transforms", IEEE Signal Processing Magazine, vol. 36, no. 2, pp. 110-116, 2019.
Danilo is honoured to be the 2019 recipient of the Dennis Gabor Award, given by the International Neural Networks Society (INNS), for "Outstanding Achievements in Neural Engineering"
We are the 2018 winners of the Best Paper Award in the IEEE Signal Processing Magazine, for our paper. "Tensor Decompositions for Signal Processing Applications", IEEE Signal Processing Magazine, vol. 32, no. 2, pp. 145-163, 2015.
Congratulations to Angelos Filos for receiving the 2018 Department Prize for Outstanding Achievement in his MEng degree. His project "Reinforcement Learning for Portfolio Management", was jointly supervised by myself and Bruno Scalzo-Dees
Bringing bio-presence into the Signal Processing and Machine Learning Curriculum "Bringing wearable sensors into the classroom: A participatory approach", S. Kanna, W. von Rosenberg, V. Goverdovsky, A. G. Constantinides, and D. P. Mandic, IEEE Signal Processing Magazine, vol. 35, no. 3, pp. 110-130, 2018.
Fresh off the print "Echo state networks for multidimensional data: Exploiting noncircularity and widely linear models", Y. Xia, M. Xiang, Z. Li, and D. P. Mandic, in D. Comminiello and J. Principe (editors), Adaptive Learning Methods for Nonlinear System Modelling, pp. 267-288, Elsevier, 2018.
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)
Patent on in-ear EEG for Hearables. "A Hearing Aid Adapted for Detection Brain Waves and a Method for Adapting Such a Hearing Aid", US Patent US9025800B2, May 2015.
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