2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

Plenary Speakers

Karl Friston

Title: Deep Inference

Bio: Karl Friston is a theoretical neuroscientist and authority on brain imaging. He invented statistical parametric mapping (SPM), voxel-based morphometry (VBM) and dynamic causal modelling (DCM).

Manuela M. Veloso

Title: AI in Finance: Data, Reasoning, and Values

Bio: Manuela M. Veloso is the Head of J.P. Morgan AI Research, which pursues fundamental research in areas of core relevance to financial services, including data mining and cryptography, machine learning, explainability, and human-AI interaction.

Bernhard Schölkopf

Title: From Statistical to Causal AI

Bio: Bernhard Schölkopf's scientific interests are in machine learning and causal inference. He has applied his methods to a number of different fields, ranging from biomedical problems to computational photography and astronomy.

Ali H. Sayed

Title: Learning over Graphs

Bio: A. H. Sayed is Dean of Engineering at EPFL, Switzerland, and a member of the US National Academy of Engineering. His work has contributed to several domains in adaptation and learning theories, statistical inference, and multi-agent systems.

Mei Ling Helen Meng

Title: Advancing Technological Equity in Speech and Language Processing

Bio: Helen Meng is Patrick Huen Wing Ming Professor of the Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong. Professor Meng is a recognized scholar in the field of multilingual speech and language processing, multimodal human-computer interaction and Big Data analytics. She leads the interdisciplinary research team that received the first Theme-based Research Scheme Project in Artificial Intelligence in 2019.