Curriculum Vitae
PERSONAL INFORMATION
Ing. Lukáš Vacho, Ph.D.
MDŽ 9, Šurany 942 01
+421948 130 424
xvacho@uniag.sk, melmaneuskmodry@gmail.com
Sex M | Date of birth 18/10/1990 | Nationality Slovakia
WORK EXPERIENCE
2019 – Lecturer
▪ teaching subjects
▪ scientific and research activity
▪ supervision of final theses
▪ opponent of final theses
2015 – 2019 Ph.D. study
▪ teaching subjects
▪ scientific and research activity
EDUCATION AND TRAINING
2015 – 2019 SUA Nitra, Faculty of Engineering, Nitra
Machinery and Mechanization of Agricultural Production
2013 – 2015 SUA Nitra, Faculty of Engineering, Nitra
Information and Control Systems in Production Engineering
2010 – 2013 SUA Nitra, Faculty of Engineering, Nitra
Information and Control Systems in Production Engineering
PERSONAL SKILLS
Mother tongue: Slovakian
Other languages: English
Communication skills
▪ communication skills acquired during the Ph.D. study
▪ communication and presentation skills acquired during the work of a lecturer
Organizational/managerial skills
▪ organizational skills acquired during the Ph.D. study and the work of a lecturer
Job-related skills
▪ precision and proactivity in creative work
Digital skills
▪ MS Visual Basic .NET
▪ Microsoft Visio
▪ Microsoft Word
▪ Microsoft Excel
▪ Microsoft PowerPoint
▪ C
▪ C++
▪ C#
▪ Matlab
▪ Python
▪ RT Toolbox
▪ Electronics
Publications
Selected method of image analysis used in quality control of manufactured components. In TEM
JOURNAL – technology, education, management, informatics. ISSN 2217-8309, 2018, vol. 7, no. 2,
s. 281-285.
Identification of dynamics of movement of the differential mobile robotic platform controlled by fuzzy
controller. In: Tehnički vjesnik. — ISSN 1330-3651. — Vol. 26, iss. 6 (2019), p. 1642-1649.
Landmark finding algorithms for indoor autonomous mobile robot localization [elektronický zdroj] /
Ladislav Tóth … [et al.]. — ilustr. — Popis urobený 18.1.2016.In: AGRIS on-line Papers in Economics
and Informatics. — ISSN 1804-1930. — Vol. 7, no. 4 (2015), s. 189-197
Projects Boosting Innovation in Education and Research of Precision Agriculture in Palestine
Application of additive technologies in teaching technical subjects
Assessment of ecosystem health status
Research of Alternative Navigation Algorithms for the Control of Autonomous Robots in Plant
Production
Citations
EL-SAYED, Mohamed A. -ALI, Abdelmgeid A. – HUSSIEN, Mohamed E. – SENNARY, Hameda A. A
Multi-Level Threshold Method for Edge Detection and Segmentation Based on Entropy. In CMCCOMPUTERS MATERIALS & CONTINUA, 2020, vol. 63, no. 1, pp. 1-16. ISSN 1546-2218.
