I am a Postdoctoral research assistant, currently working on Machine Learning for Communications. Previously, I received a PhD degree from 911½ñÈÕºÚÁÏ (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 page.
Publications
Journals
→ 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.
→ E. Bourtsoulatze, D. Burth Kurka, and D. Gunduz, Deep Joint Source-Channel Coding for Wireless Image Transmission, IEEE Transactions on Cognitive Communications and Networking (TCCN), vol. 5, no. 3, pp. 567 - 579, Sep. 2019.
→ D. Burth Kurka, J. V. Pitt, J. Ober, , ACM Transactions on Autonomous and Adaptive Systems (TAAS), vol 14, no. 1, July 2019.
→ D. Burth Kurka, A. Godoy, and F. J. Von Zuben, , 2016.
Conferences
→ D. Burth Kurka, D. Gunduz, Deep Joint Source-Channel Coding of Images with Feedback, in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, May 2020.
→ D. Burth Kurka, D. Gunduz, Joint Source-Channel Coding of Images with (not very) Deep Learning, in 2020 International Zurich Seminar on Information and Communication (IZS 2020), Zurich, Switzerland, Feb. 2020.
→ D. Burth Kurka, D. Gunduz, Successive Refinement of Images with Deep Joint Source-Channel Coding, in IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Cannes, France, Jul. 2019.
→ E. Bourtsoulatze, D. Burth Kurka, D. Gunduz, Deep Joint Source-Channel Coding for Wireless Image Transmission, in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, 2019.
→ 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 and J. V. Pitt, , in 2nd eCAS Workshop on Engineering Collective Adaptive Systems, Tucson, Arizona, USA, Sep 2017.
→ D. Burth Kurka and J. V. Pitt, , in Fifth International Workshop on Self-Adaptive and Self-Organising Socio-Technical Systems (SASO^ST), Tucson, Arizona, USA, Sep 2017.
→ 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.
→ D. Burth Kurka and J. V. Pitt, , in 2016 IEEE 10th International Conference on Self-Adaptive and Self-Organizing Systems (SASO), pp. 80–89, Sep 2016.
→ D. Burth Kurka and J. V. Pitt, , , in 2016 IEEE 1st International Workshops on Foundations and Applications of Self* Systems (FAS*W), pp. 174–179, Sep 2016.
→ D. Burth Kurka, A. Godoy, and F. J. V. Zuben, Birds of a Feather Tweet Together: Computational Techniques to Understand User Communities in Social Networks, in6th Workshop on Making Sense of Microposts (#Microposts2016), pp. 21–27, Apr 2016.
