Dominik Macko

Research areas: energy efficiency, Internet of Things, low-power communication, network security, network anomaly and intrusion detection, machine learning, machine generated text detection

Position: Researcher

Dominik focuses on energy efficiency and security in the Internet of Things environment, from a communication point of view as well as from a device point of view. He focuses on reduction of unnecessary control overhead to create a secure channel and transmit data by strictly power-managed sensor nodes. Also, he deals with anomaly and intrusion detection in IP networks based on communication statistics. Recently, he focuses on robust detection of multilingual machine-generated text.

He has authored or co-authored more than 50 publications in scientific journals and conferences, and regularly reviews submissions for renowned international conferences and scientific journals. He has supervised more than 30 Bachelor’s and Master’s students and co-supervised 2 PhD students. In teaching activities, he has participated in more than ten courses focused on computer networks or hardware design. He has served as a reviewer of multiple dissertation theses at Czech and Slovak universities. Formerly, he was a guarantor of the study programme Information Security at FIIT STU and served as a member of the Scientific Board of FIIT STU.

Professional Service

Reviews:

  • Journals:
    • Computing and Informatics,
    • Journal of Low Power Electronics,
    • International Journal of Engineering and Technology Innovation,
    • Journal of Sensor and Actuator Networks,
    • International Journal of Electronics,
    • Integration the VLSI Journal,
    • IEEE Transactions on Network and Service Management
  • Conferences
    • PAD,
    • DDECS,
    • TSP
  • Member of PC:
    • PAD,
    • DDECS

Applied Research on Measurement of Physiologic Parameters of Stress and Smart Wireless Biomonitoring Using On-chip Technologies

jún 8. 2021
APVV-15-0789. 2016-2019

Methods and Algorithms for Improving Efficiency and Multimedia Content Delivery in IP Networks

jún 8. 2021
VEGA 1/0836/16. 2016-2018

Methods for the Design and Verification of Digital Systems with Low Power Consumption Using Formal Specification Languages

feb 24. 2021
VEGA 1/0616/14. 2014-2016

Verification and Reliability of Digital System Design (VERSUS)

jún 8. 2021
APVV SK-CZ-2013-0173. 2014-2015

Manufacturable and Dependable Multicore Architectures at Nanoscale

feb 24. 2021
COST Action IC 1103. 2014-2015

Design Optimization of Low-Power Digital and Mixed Integrated Systems

feb 24. 2021
VEGA 1/1008/12. 2012-2015

Selected Student Supervising

He supervised more than 30 students.

PhD

  • Valach Alexander – Increasing the Internet of Things efficiency. Defended 2023. Co-supervised with Pavel Čičák
  • Kaňuch Peter –  Optimization of HIP protocol for the Internet of Things. Defended 2022. Co-supervised with Ladislav Hudec

Master

  • Bombala, Martin – Optimization of energy consumption in blockchain technology. Defended 2022
  • Lengyel, Gergely – Increasing energy efficiency in blockchain technology. Defended 2022
  • Horňáček Július – Increasing communication efficiency of IoT devices by redundancy of access points. Defended 2021
  • Šedivý Miroslav – Increasing the security of Internet of Things using Honeypot. Defended 2021
  • Valach Alexander – Optimization of LoRa Devices Communication for Applications in Healthcare. Defended 2020
  • Groma Matej – Simplifying power intent specification at the RTL level. Defended 2020
  • Kaňuch Peter – Optimizing security of communication in Internet of Things by OpenHIP. Defended 2019
  • Pullmann Jakub – Increasing communication efficiency of IoT devices by minimizing collisions. Defended 2019
  • Škuta Michal – Power management automation for FPGA platform. Defended 2019
  • Gočal Pavol – Energy-efficient communication of Internet of Things devices using timing channels. Defended 2018
  • Hatvani Dušan – Increasing communication efficiency of IoT devices by changing parameters of a communication protocol. Defended 2018
  • Erdelyi Jaroslav – Estimation of power-management effect on dynamic power consumption. Defended 2017
  • Jenis Matej – Automatization of power-management specification of system model in time. Defended 2017
  • Krajča Patrik – Automation of power-management specification in system model. Defended 2017
  • Rychvalský Tomáš – Estimation of power-management effect on static power consumption. Defended 2017
  • Siro Miroslav – Synthesis of hardware power-management specification. Defended 2016
  • Liďák Michal – Power estimation of system-level hardware model. Defended 2014
  • Maron Ľubomír – Formal verification of the refined specification in HSSL. Defended 2013

Bachelor

  • Hlavačka Jakub – Energy-efficient authorization of blockchain operations for use in the Internet of Things. Defended 2021
  • Rypák Blažej – Web system for testing of algorithmic tasks in the C programming language. Defended 2021
  • Čechvala Marek – Automation of test communication in IP networks. Defended 2021
  • Holý Matej – Web system for testing of network-devices configurations. Defended 2020
  • Varga Norbert – Secured automated evaluation of a network configuration. Defended 2019
  • Šedivý Miroslav – Generation of test communication in IP networks. Defended 2019
  • Juško Jakub – Automation of text editing in the LaTeX format. Defended 2019
  • Csengődy Zoltán – Automated evaluation of a network device configuration. Defended 2018
  • Valach Alexander – Utilization of the LoRa technology in healthcare IoT devices. Defended 2018
  • Marso Karol – Embedded-systems communication using Bluetooth Low Energy. Defended 2017
  • Procházka Miroslav – Generation of diagnostic communication in IP networks. Defended 2017
  • Pullmann Jakub – Generation of diagnostic communication in IP networks. Defended 2017
  • Jurika Matúš – Generation of state machines for power management. Defended 2016
  • Tkáč Samuel – Equivalence checking of hardware designs using mathematical logic. Defended 2014
  • Paľove Stanislav – Digital system power estimation based on SystemC model. Defended 2014