Overview

 

Titles (selected): Univ.-Prof. mult. (University of Augsburg/Passau), Professor (Imperial College London/VGTU), Dr.-Ing. (TUM) habil. (TUM) Dipl.-Ing. univ. (TUM), Visiting Professor (HIT), FIEEE
Fields: Artificial Intelligence, Machine & Deep Learning; Audio, Language, Bio & Multimedia Signal Processing; Health Informatics, mHealth, Affective Computing; Computer Ethics
Affiliated with: Imperial College London (Computing), University of Augsburg (Informatics/Medicine), Center Digitisation.Bavaria, audEERING GmbH, VGTU, Harbin Institute of Technology
Alma Mater: Technische Universität München (EE/IT)
Activity (selected): Editor in Chief IEEE Transactions on Affective Computing
Associate Editor IEEE Transactions on Neural Networks and Learning Systems, IEEE Signal Processing Letters, IEEE Transactions on Cybernetics, Computer Speech and Language
Guest Editor IEEE Intelligent Systems Magazine, IEEE Transactions on Computational Intelligence and AI in Games, Neural Networks, Cognitive Computation, Knowledge-Based Systems, Speech Communication, Image and Vision Computing, Journal on Advances in Signal Processing, ACM Transactions on Interactive Intelligent Systems
General Chair IEEE ACII 2019, IEEE ACII Asia 2018, ACM ICMI 2014
Program Chair Interspeech 2019, ACM ICMI 2019 and 2013, IEEE/AAAC ACII 2015 and 2011, IEEE SocialCom 2012
Area Chair IEEE ICASSP 2018, 2017, 2016, 2015, 2014 and 2013, Interspeech 2018, EURASIP EUSIPCO 2018, 2015, IEEE ICTAI 2017, 2016, 2015, ACM Multimedia 2014, IEEE/HUMAINE ACII 2013, ACM ICMI 2012
Coordinator European Project EngageMe, European Project ASC-Inclusion
Principal Investigator ERC Starting Grant iHEARu
President-Emeritus (Secretary) of the AAAC
Google Scholar: Profile (currently >20,000 citations, h-index = 69)
Code and Data: openaudio.eu
ScientificPapers: (currently  >750, >100 in journals) – download the full publication list as PDF or from overleaf.
Five Recent Articles:

B. Schuller, “Speech Emotion Recognition: 20 Years in a Nutshell, Benchmarks, and Ongoing Trends,” Communications of the ACM, vol. 61, pp. 91–99, May 2018.

O. Rudovic, J. Lee, M. Dai, B. Schuller, and R. W. Picard, “Personalized machine learning for robot perception of affect and engagement in autism therapy,” Science Robotics, vol. 3, June 2018, AAAS, 12 pages

J. Deng, X. Xu, Z. Zhang, S. Frühholz, B. Schuller, Semisupervised Autoencoders for Speech Emotion Recognition,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 26, no. 1, pp. 31–43, 2018.

G. Trigeorgis, M. A. Nicolaou, S. Zafeiriou, B. Schuller, “Deep Canonical Time Warping for simultaneous alignment and representation learning of sequences,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, pp. 1128– 1138, May 2018.

M. Freitag, S. Amiriparian, S. Pugachevskiy, N. Cummins, and B. Schuller, “auDeep: Unsupervised Learning of Repre- sentations from Audio with Deep Recurrent Neural Networks,” Journal of Machine Learning Research, vol. 18, pp. 1–5, April 2018.

Sport Degress (selected): Black Belt 3. Dan Tae Kwon Do (ITF, Chae-Yong Song, div. Masters)

Black Belt 2. Dan Tang Soo Do (WTSDA, Jae Chul Shin, Master: Klaus Trogemann)

Master Applicant 2ème GB Savate-Boxe Française (Dojo de Grenelle, Master: Alain Formaggio)

Gold Level Ballroom Dancing (ADTV, TTC Munich Pasing and others)

Musical Instruments (selected): diverse Guitars/Mandolins, diverse Flutes/Harmonicas, Cajon
Languages (selected): German, English, French, Mandarin (basic), Russian (basic)

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