About me

short CV

Martin Kenyeres is a research scientist (holding a scientific rank IIa* since June 2022) at the Institute of Informatics of the Slovak Academy of Sciences (Slovakia) and a doctoral advisor at the Faculty of Electrical Engineering and Information Technology of the Slovak University of Technology in Bratislava (Slovakia). He received his M.Sc. from the Slovak University of Technology in Bratislava and his Ph.D. from the Brno University of Technology (Czech Republic). His primary research interests include distributed algorithms for data aggregation in multi-agent systems and wireless sensor networks. He has authored/co-authored more than 50 scientific papers (indexed in the Scopus database) in these areas. In 2013, he was at the Vienna University of Technology (Austria), where he participated in the NFN SISE project under the supervision of Professor Markus Rupp (a world-renowned scientific authority in telecommunications). Since 2018, Martin has been with the Institute of Informatics of the Slovak Academy of Sciences. In 2019, Martin Kenyeres received the Stefan Schwarz Supporting Fund, a grant awarded to exceptional young postdoctoral researchers (which was extended in 2021). In addition, he has handled numerous national and international projects (as the principal investigator/deputy head/scientific co-worker) and completed several foreign internships. Furthermore, he serves on the editorial and reviewer boards of multiple prestigious journals, acts as a guest editor for specialized issues, and chairs an international workshop.

*IIa is equivalent to the academic rank of Associate Professor.

Specialization:

data aggregation, sensor fusion, multi-sensor data fusion, information fusion
consensus algorithms
distributed computing
multi-agent systems
wireless sensor networks
spectral analysis
convex optimization

PROJECTS (current and past)

NFN SISE
FEKT-S-14-2352
FEKT-S-17-4184
VEGA 2/0154/16
VEGA 2/0155/19 (awarded)
APVV-17-0116
MEMS NFP313011X741
CHIST ERA III (SOON) ”Social Network of Machines”
COST: Improving Applicability of Nature-Inspired Optimisation by Joining Theory and Practice (ImAppNIO) CA 15140
Cyber-Physical System for epidemiological tele-monitoring and tele-medicine for patients with COVID 19 (BAS-SAS-21-03)
ORBIS - APVV-19-0220
VEGA 2/0135/23 (debuty head)
SK-SRB-23-0038 (principal investigator)
DYMAX - Dynamic malware analysis with explainable AI - APVV-23-0292
CPS4EM - Cyber-Physical System for environmental monitoring and data analysis (BAS-SAS)
Perfect AI sommelier
Smart Transformation and Innovation Consortium Slovakia 09I02-03-V01-00011 (STICKS)

GRANTS

Stefan Schwarz Supporting Fund (06/2019 - 05/2021) - obtained in 2019 (a grant awarded to exceptional young postdoctoral researchers - for two years)

Extension of Stefan Schwarz Supporting Fund (06/2021 - 05/2022) - prolonged in 2021 (the extension of a grant awarded to exceptional young postdoctoral researchers - for one year)

Erasmus+ (2012/2013)

Erasmus+ (2017/2018)

awards

My paper "Distributed Mechanism for Detecting Average Consensus with Maximum-Degree Weights in Bipartite Regular Graphs" has been selected for Verification of Excellence in Research 2026.

Project investigator of the VEGA grant 2/0155/19, recognized for its excellence (the VEGA project 2/0155/19 was recognized by VEGA Committee No. 5 as one of the key scientific achievements of 2023 - as the first author, I wrote 25 scientific papers within this project, all of which are indexed at least in Scopus)