Péter Kiss

kp (dot) peter (dot) kiss (at) gmail (dot) com

Short biography

He is a first year PhD student of ELTE and EIT Digital Doctoral School, at the Data Science and Engineering Department. He returned to academic sphere after a couple of years I spent as c++ programmer in the industry. He’s primarily interested in highly scalable, and flexible distributed information systems and different aspects of artificial intelligence.

Research interests: parallel and distributed computing, high-performance computing, meta-learning.

Publications @ELTE:

  • Reale, A., Kiss P. et al.: Application Functions Placement Optimization in a Mobile Distributed Cloud Environment. Studia Universitatis Babeș-Bolyai Informatica, [S.l.], v. 63, n. 2, p. 37-52, june 2018. ISSN 2065-9601. (link to the arcticle)
  • Péter Kiss, Dávid Fonyó, Tomáš Horváth (2018). BlaBoO: A Lightweight Black Box Optimizer Framework. Accepted to the World Symposium on Digital Intelligence for Systems and Machines (DISA) 2018, Košice, Slovakia. (download manuscript) (link to proceedings)
  • Péter Kiss, Anna Reale, Charles Jose Ferrari and Zoltán Istenes: Deployment of IoT applications on 5G Edge in: Proceedings of Future IoT 2018; in Press (download manuscript)