World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
44
Citations
5480
World Ranking
5961
National Ranking
238

Overview

Viliam Makis is affiliated with the University of Toronto in Canada, focusing research in the field of engineering. Their work encompasses several subfields including ocean engineering, safety, risk, reliability and quality, software, and statistics and probability.

Their research interests cover a range of topics such as reliability and maintenance optimization, drilling and well engineering, software reliability and analysis research, statistical distribution estimation and applications, risk and safety analysis, quality and safety in healthcare, and reservoir engineering and simulation methods.

Makis has contributed to multiple peer-reviewed publications, with recent papers including:

  • Optimal condition-based maintenance with general repair and two dependent failure modes, 2020, Computers & Industrial Engineering
  • Application of Markov renewal theory and semi-Markov decision processes in maintenance modeling and optimization of multi-unit systems, 2020, Naval Research Logistics (NRL)
  • Bayesian change point prediction for downhole drilling pressures with hidden Markov models, 2023, Applied Stochastic Models in Business and Industry
  • Improved abnormal formation pressure detection from drilling performance data in a partially observable setting, 2021, Journal of Petroleum Science and Engineering
  • Gearbox Oil Analysis and Failure Prediction based on Hidden Semi-Markov Model, 2020, Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference

Frequent coauthors who have collaborated with Makis include Ochuko Erivwo, Rui Zheng, Nooshin Salari, Roy H. Kwon, and Marcos Kaspchak Machado. Their work has appeared in several publication venues such as Computers & Industrial Engineering, Naval Research Logistics (NRL), Applied Stochastic Models in Business and Industry, Journal of Petroleum Science and Engineering, and the Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference.

Best Publications

  • Optimal Replacement In The Proportional Hazards Model

    Viliam Makis;Andrew K.S. Jardine

  • A Control-Limit Policy And Software For Condition-Based Maintenance Optimization

    D. Banjevic;A.K.S. Jardine;V. Makis;M. Ennis

  • Optimal component replacement decisions using vibration monitoring and the proportional-hazards model

    P. J. Vlok;J. L. Coetzee;Dragan Banjevic;Andrew K. S. Jardine

  • Condition monitoring and classification of rotating machinery using wavelets and hidden Markov models

    Qiang Miao;Viliam Makis

  • A wavelet approach to fault diagnosis of a gearbox under varying load conditions

    Xiyang Wang;Viliam Makis;Ming Yang

  • Adaptive state detection of gearboxes under varying load conditions based on parametric modelling

    Yimin Zhan;Viliam Makis;Andrew K.S. Jardine

  • Autoregressive model-based gear shaft fault diagnosis using the Kolmogorov–Smirnov test

    Xiyang Wang;Viliam Makis

  • Multivariate Bayesian control chart

    Viliam Makis

  • An EMQ model with inspections and random machine failures

    Viliam Makis;James Fung

  • Optimal replacement policy and the structure of software for condition‐based maintenance

    A.K.S. Jardine;D. Banjevic;V. Makis

  • Optimal replacement under partial observations

    V. Makis;X. Jiang

  • ARX model-based gearbox fault detection and localization under varying load conditions

    Ming Yang;Viliam Makis

  • Joint optimization of sampling and control of partially observable failing systems

    Michael Jong Kim;Viliam Makis

  • A note on optimal replacement policy under general repair

    Viliam Makis;Andrew K.S. Jardine

  • Optimal lot sizing and inspection policy for an EMQ model with imperfect inspections

    Viliam Makis

  • Optimal Bayesian fault prediction scheme for a partially observable system subject to random failure

    Michael Jong Kim;Rui Jiang;Viliam Makis;Chi-Guhn Lee

  • Optimal Replacement Policy for a General Model with Imperfect Repair

    Viliam Makis;Andrew K. S. Jardine

  • An optimal condition-based maintenance policy for a degrading system subject to the competing risks of soft and hard failure

    Diyin Tang;Jinsong Yu;Xiongzi Chen;Viliam Makis

  • Optimal maintenance policy for a multi-state deteriorating system with two types of failures under general repair

    Michael Jong Kim;Viliam Makis

  • An application of DPCA to oil data for CBM modeling

    Viliam Makis;Jianmou Wu;Yan Gao

  • Recursive filters for a partially observable system subject to random failure

    Daming Lin;Viliam Makis

Frequent Co-Authors

Andrew K.S. Jardine
Andrew K.S. Jardine University of Toronto
Ming Zhao
Ming Zhao Xi'an Jiaotong University
Jing Lin
Jing Lin Beihang University
Yan Wang
Yan Wang Macquarie University
Wenli Du
Wenli Du East China University of Science and Technology

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