Department of Electrical and Computer Engineering

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      MLSysOps: Machine Learning for Autonomic System Operation in the Heterogeneous Edge-Cloud Continuum

      Scientific Responsible

      Spyros LalisSpyros Lalis, Professor
      E-mail: lalis@e-ce.uth.gr

      TitleMLSysOps: Machine Learning for Autonomic System Operation in the Heterogeneous Edge-Cloud Continuum
      Duration2023 – 2025
      Sitehttps://csl.e-ce.uth.gr/projects/mlsysops

      Read More

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    • Department of Electrical and Computer Engineering
      • Sekeri – Cheiden Str
        Pedion Areos, ECE Building
        383 34 Volos – Greece
      Tel.+30 24210 74967, +30 24210 74934
      e-mailgece ΑΤ e-ce.uth.gr
      PGS Tel.+30 24210 74933
      PGS e-mailpgsec ΑΤ e-ce.uth.gr
      URLhttps://www.e-ce.uth.gr/contact-info/?lang=en
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Dimitrios Bargiotas

Home » Department » Faculty » Dimitrios Bargiotas
Bargiotas Dimitrios
Dimitrios Bargiotas, Professor
Discipline AreaPower System Stability
DiplomaElectrical Engineering, University of Patras, Greece
Ph.D.Electrical and Computer Engineering, University of Tennessee, Knoxville, Tennessee, USA
Office407
Office Hours

Monday and Tuesday 13:00-14:00 (Please send an email the day before for confirmation).

Other day and time, by appointment.

Tel.+30 24210 74930
Emailbargiotas@uth.gr
CV   Google Scholar

  • Courses
  • PhD Students
Undergraduate Courses:

ECE120 Engineering Drawing

ECE315 Automatic Control Systems

ECE335 Electric Power Generation Systems

ECE342 Alternative Energy Sources

ECE437 Electrical Installations

ECE472 Industrial Automation and Control

ECE474 Special Topics of Electrical Installations

ECE549 Protection of Power Systems

Postgraduate Courses of PGS in “Smart Grid Energy Systems”:

ECE6120 Electric Energy Systems Analysis

ECE6130 Distributed Generation

ECE6210 Liberalization of Electricity Markets

ECE6220 Design and Operation of Smart Energy Grids

Ph.D. Graduates:

Dimitrios Kontogiannis

SupervisorDimitrios Bargiotas, Professor
Phd Thesis TitleDesign Strategies Towards Τhe Enhancement Οf Short-Term Forecasting Ιn Τhe Energy Sector
Year2023
Ph.D. Candidates:

Athanasios Ioannis Arvanitidis

SupervisorDimitrios Bargiotas, Professor
Phd Thesis TitleAnalysis and applications of artificial intelligence and deep learning algorithms in smart grids.
Emailatarvanitidis@e-ce.uth.gr

Georgios Vontzos

SupervisorDimitrios Bargiotas, Professor
Phd Thesis TitleNextGeneration Smart Grid Applications for Aviation Infrastructures
Emailgvontzos@e-ce.uth.gr

Vasileios Laitsos

SupervisorDimitrios Bargiotas, Professor
Phd Thesis TitleAlgorithms for Demand Site Management for Smart Grids
Emailvlaitsos@e-ce.uth.gr

e-Yπηρεσίες

Contact Info

  • Sekeri – Cheiden Str, Pedion Areos, Volos
  • +30 24210 74967
  • +30 24210 74934
  • Email: gece@e-ce.uth.gr

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