2023 Croucher Summer Course
in Information Theory
CSCIT provides young researchers first-hand access to cutting-edge research by leaders in information theory and computer science.
Hong Kong
14 – 18 August 2023
The Croucher Summer Course in Information Theory 2023
CSCIT 2023 will be held on 14–18 August 2023 at C. W. Chu College at the The Chinese University of Hong Kong (CUHK).
CSCIT 2023 will bring together 45 PhD students and post-doctoral scholars from across Asia to learn and discuss cutting-edge research with world-renowned professors in information theory and computer science.
Past Conferences
CSCIT has been held every two years since 2015 (2015, 2017, 2019, 2021). Delegates from the past conferences joined from all parts of the globe including Australia, China, France, Germany, Hong Kong, India, Iran, Japan, Korea, Philippines, Saudi Arabia, Singapore, Taiwan and USA.
CSCIT 2023 will focus on delegates from Asia. 2023 will offer delegates a chance to learn from one another in poster presentations as well as informal gatherings.
Speakers
Prof. Arnab Bhattacharyya
Topic, abstract, and biography
Prof. Arnab Bhattacharyya School of Computing, National University of Singapore, Singapore Topic: Learning and Inference from Confounded and Biased Data Abstract: I will give an overview of current algorithmic research in the area of causality. The four-part sequence of talks will cover:
Prof. Irit Dinur
Topic, abstract, and biography
Prof. Irit Dinur Department of Applied Mathematics and Computer Science, Weizman Institute of Science, Israel Topic: Expanders in High Dimensions Abstract: Expander graphs have been studied in many areas of mathematics and in computer science with versatile applications, including coding theory, networking,
Prof. Lara Dolecek
Topic, abstract, and biography
Prof. Lara Dolecek Department of Electrical and Computer Engineering, University of California at Los Angeles, USA Topic: Foundations of Finite-Length Graph-based Codes with Applications to Data Storage, Quantum Communications, and Blockchains Abstract: In this series of lectures, we will lay the foundations
Prof. Farzan Farnia
Topic, abstract, and biography
Prof. Farzan Farnia Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong Topic: Information Theory and Adversarial Machine Learning Abstract: Adversarial deep learning frameworks including generative adversarial networks (GANs) and adversarial training (AT) methods have achieved great
Prof. Amin Gohari
Topic, abstract, and biography
Prof. Amin Gohari Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong Topic: The Auxiliary Receiver Approach in Network Information Theory Abstract: In these lectures, I focus on three fundamental open problems in network information theory: finding the capacity
