APPIS 2018 will have three invited speakers.

Prof. Petia Radeva


Prof. Radeva is IAPR Fellow and Head of Barcelona Perceptual Computing Laboratory (BCNPCL) at the University of Barcelona and Head of Medical Imaging Laboratory (MILab) of Computer Vision Center (www.cvc.uab.es). Her present research interests are on development of learning-based approaches for computer vision and image processing.

Personal Web: http://www.cvc.uab.es/people/petia,
Google Scholar, ResearchGate

Prof. Danilo Mandic


Hearables: Multimodal 24/7 Physiological Sensing
Future health systems require the means to assess and track  the neural and physiological function of a user over long periods of time, and in the community. Human body responses are  manifested through multiple, interacting modalities – the  mechanical, electrical and chemical; yet, current physiological monitors (e.g. actigraphy, heart rate) largely lack in cross-modal ability, are inconvenient and/or stigmatizing. We address these challenges through an inconspicuous earpiece, which benefits from the relatively stable position of the ear canal with respect to vital organs. Equipped with miniature multimodal sensors, it robustly measures the brain, cardiac and respiratory functions. We further demonstrate how combining data from multiple sensors within such an integrated wearable device improves both the accuracy of measurements and the ability to deal with artifacts in real-world scenarios. The  potential in wearable health monitoring is illustrated through case which include sleep and fatigue monitoring, brain computer interface, Ear-EEG biometrics, automatic  hearing threshold detection, and stress.

Biography
Danilo P. Mandic is currently a Professor of Signal Processing  with Imperial College London, London, U.K., where he has been involved in the area of nonlinear adaptive and biomedical signal processing. He has been a Guest Professor with the Katholieke
Universiteit Leuven, Leuven, Belgium, and a Frontier Researcher with RIKEN, Tokyo. His publication record includes two research monographs, Recurrent Neural Networks for Prediction (West Sussex, U.K.: Wiley, 2001) and Complex-Valued Nonlinear Adaptive Filters:  Noncircularity, Widely Linear, and Neural Models (West Sussex, U.K.: Wiley, 2009), an edited book Signal Processing for Information Fusion (New York: Springer, 2008), and over 400 publications in signal and image processing. Prof Mandic is a pioneer of  “hearables”, which have enabled 24/7 continuous health monitoring in the community  based on in-ear multimodal physiological sensors. He has produced award winning  papers and products from his collaboration with industry and has received the President’s Award for excellence in postgraduate supervision at Imperial College.

Website: www.commsp.ee.ic.ac.uk/~mandic

 

THe third speaker will be announced soon.