Márk Jelasity is a full professor and department head of the Department of Algorithms and Artificial Intelligence, University of Szeged. He obtained his PhD degree in Leiden, the Netherlands, in 2001. He has worked in various areas including heuristic search, distributed computing systems, machine learning, and the intersections of these. Currently, he is interested in fully decentralized machine learning algorithms over IoT devices, and the problem of adversarial examples in machine learning. He visited Cornell as a Fulbright Researcher, he won a 10 year best paper award at Middleware, and he was awarded the Bolyai plaquette by the Hungarian Academy of Sciences.
István Megyeri, István Hegedűs, and Márk Jelasity. Adversarial robustness of model sets. In International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, UK, 2020. (to appear)
Edward Tremel, Ken Birman, Robert Kleinberg, and Márk Jelasity. Anonymous, fault-tolerant distributed queries for smart devices. ACM Transactions on Cyber-Physical Systems, 3(2):16:1–16:29, March 2019. (doi:10.1145/3204411)
Márk Jelasity, Alberto Montresor, and Ozalp Babaoglu. Gossip-based aggregation in large dynamic networks. ACM Transactions on Computer Systems, 23(3):219–252, August 2005. (doi:10.1145/1082469.1082470)