Position:
Researcher
PhD student
Department:
Department of Information Engineering and Process Control (DIEPC)
Room:
NB 647
eMail:
Home page:
https://www.uiam.sk/~mojto
Phone:
+421 259 325 349
ORCID iD:
0000-0002-6114-2710
WoS ResearcherID:
AAZ-3608-2020
Google Scholar:
sjBbi0AAAAAJ
Availability:

Basic Information
  • Work calendar (link)
  • Curriculum vitae (link)
  • Academic Information System (link)
  • Linkedin (link)


Current Scientific Interest

  • Design of inferential (soft) sensors using data-driven methods:
    • Ordinary Least Squares (OLS)
    • Principal Component Analysis (PCA)
    • Partial Least Squares (PLS)
    • Least Absolute Shrinkage and Selection Operator (LASSO)
    • Subset Selection (SS)
    • More information: articlepostervideo
  • Detection of systematic errors and outliers within an industrial dataset:
    • Visual gross error detection
    • Hotelling's T-squared distance
    • Minimum Covariance Determinant (MCD)
    • k-means clustering
  • Industrial applications:
    • Fluid Catalytic Cracking (FCC) Unit - Slovnaft
    • Vacuum Gasoil Hydrogenation (VGH) Unit - Slovnaft


Education

  • Doctoral Studies (1.9.2019–now)
    • Thesis topic: Plant-wide Optimization and Predictive Control in an Oil Refinery
    • Supervisor:  doc. Ing. Radoslav Paulen, PhD.
    • Programme: Process Control
  • Master's Degree (01.09.2017–27.05.2019)
    • Thesis topic: Advanced Process Control of a Depropanizer Column
    • Supervisor:  prof. Ing. Miroslav Fikar, DrSc.
    • Programme: Automation and Information Engineering in Chemistry and Food Industry
  • Bachelor's Degree (01.09.2014–11.07.2017)
    • Thesis topic: Simulation of Azeotropic Distillation
    • Supervisor:  doc. Ing. Pavol Steltenpohl, PhD.
    • Programme: Chemical Engineering




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