David Burth Kurka
I am a Postdoctoral research assistant, currently working on Machine Learning for Communications. Previously, I received a PhD degree from Imperial College London (Intelligent Systems and Networks group), and Eng and MsC degrees from University of Campinas - Brazil.
My current research focus is towards developing machine learning solutions to wireless communication problems. Before that, I investigated different machine learning and artificial intelligence related topics, such as socially inspired computing and multi-agent Systems (PhD), the use of social information for predicting behaviour in social networks and complex systems (master's).
My research interests include Machine Learning, Wireless Communications, Information Theory, Socially Inspired Computing, Multi-Agent Systems, Collective Intelligence, Social Network Analysis and Complex Systems.
You can follow my publications and citations on my Google Scholar page.
→ D. Burth Kurka, and D. Gunduz, DeepJSCC-f: Deep Joint Source-Channel Coding of Images with Feedback, IEEE Journal on Selected Areas in Information Theory (JSAIT), to appear.
→ D. Burth Kurka, J. V. Pitt, P. R. Lewis, A. Patelli, and A. Ekárt, , in 2018 IEEE 12th International Conference on Self-Adaptive and Self-Organizing Systems (SASO), Trento, Italy, pp. 1-10, Sep 2018.
→ D. Burth Kurka, A. Godoy, and F. J. Von Zuben, , in Proceedings of the 26th International Conference on World Wide Web Companion (WWW17), Republic and Canton of Geneva, Switzerland, pp. 1485–1491, Apr 2017.