András Lukács (ELTE Eötvös Loránd University), PhD in mathematics, researcher and lecturer of data science. He has deep expertise in data science and artificial intelligence, solving problems and use-cases from a wide range of domains, keeping up a good balance of mathematical and engineering approach, covering the full value chain of AI. His expertise was called in several R&D projects from the fields of telecommunication, finance, security and life sciences. He has 20 scientific publications with more than 750 citations.
He was a co-founder of the Data Mining and Web Search Groups at the Institute for Computer Science and Control of the Hungarian Science Academy. Recently he organizes and manages the Artificial Intelligence and Data Science Research Group at the Department of Computer Science, Institute of Mathematics, Eötvös Loránd University. He is serving as an expert in AI for the Ministry for Innovation and Technology in Hungary.
A. Vazquez, B. Rácz, A. Lukács, A.-L. Barabási: Impact of non-Poissonian activity patterns on spreading processes, Phys. Rev. Lett. 98 (15) 2007, 158702
Z. Dezső, E. Almaas, A. Lukács, B. Rácz, I. Szakadát, A.-L. Barabási: The Dynamics of Information Access on the Web, Physical Review E 73 (6) 2006, 066132.
B. Rácz, A. Lukács: High density compression of log files, In: Proceedings of Data Compression Conference (DCC'04), IEEE 2004, 557.
C.I. Sidló, A. Lukács: Shaping SQL-based frequent pattern mining algorithms. In: International Workshop on Knowledge Discovery in Inductive Databases, Springer, 2005, pp. 188-201.
G. Gaál, B. Maga, A Lukács: Attention u-net based adversarial architectures for chest X-ray lung segmentation, arXiv:2003.10304, 2020.
