Augustin Žídek works as a Research Engineer at DeepMind and has been a member of the protein folding team since 2017. He studied Computer Science at the University of Cambridge. He enjoys working at the boundary of research and engineering, hiking, playing musical instruments and fixing things.

Protein Structure Prediction with AlphaFold

In this talk, we will discuss what proteins are, what is the protein folding problem and why it is an important scientific challenge. We will then talk about AphaFold, a machine learning model developed by DeepMind that is able to predict protein 3D structure with high accuracy, its architecture and applications.

His talk takes place on Tuesday, March 1, 2022 at 13:00 in room A112. The talk will be streamed live at https://youtu.be/udyjZXtUuDw.

Hema A. Murthy is currently a Professor at the Department of Computer Science and Engineering. She has been with the department for the last 35 years. She currently leads an 18 Institute consortium that focuses on speech as part of the national language translation mission, an ambitious project where the objective is to produce speech to speech translation in Indian languages and Indian English.

Signal Processing Guided Machine Learning

In this talk we will focus on using signal processing algorithms in tandem with machine learning algorithms for various tasks in speech, music and brain signals. The primary objective is to understand events of interest from the perspective of the chosen domain. Appropriate signal processing is employed to detect events. Machine learning algorithms are then made to focus on learning the statistical characteristics of these events. The primary advantage of this approach is that it significantly reduces both computation and data costs. Examples from speech synthesis, Indian art music, and neuronal signals and EEG signals will be considered.

Her talk takes place on Tuesday, February 8, 2022 at 13:00 CET, virtually on zoom https://cesnet.zoom.us/j/91741432360.

Slides of the talk are publicly available.