Man

Mohammadhosein Sabzalian

Académico

Universidad de Santiago de Chile

Santiago, Chile

Líneas de Investigación


Control theory, Optimization, Artificial Intelligence, Robotics Control, Renewable Energy Control

Educación

  •  Control Science and Engineering, Shanghai Jiao Tong University. China, 2021
  •  Electrical Engineering -Control, Azad University Iran. Irán, 2015
  •  Control and Instrumentation Engineering, Allameh Mohades Noori. Irán, 2008

Experiencia Académica

  •   Profesor Asistente Full Time

    UNIVERSIDAD DE SANTIAGO DE CHILE

    Ingeniería

    Santiago, Chile

    2023 - A la fecha

Experiencia Profesional

  •   Académic Full Time

    Universidad de Santiago de Chile

    Santiago, Chile

    2023 - A la fecha

  •   Post doctoral Researcher Full Time

    University of Campinas, Brazil

    Campinas, Brasil

    2022 - 2023

  •   Post doctoral Researcher Full Time

    Federal University of Rio de Janeiro

    Rio de Janeiro, Brasil

    2021 - 2022

  •   PhD Scholar and Researcher for National and Industrial Projects Full Time

    Shanghai Jiao Tong University

    Shanghai, China

    2016 - 2021


 

Article (20)

Advancing Voltage Control of Renewable Energy Resources Through a Transformerless DC/DC Converter: Enhancing Voltage Ratio and Efficiency
An innovative machine learning based on feed-forward artificial neural network and equilibrium optimization for predicting solar irradiance
Planning of a charging station for electric and hydrogen vehicles under hydrogen storage and fuel cell systems using a novel stochastic p-robust optimization technique
A developed observer-based type-2 fuzzy control for chaotic systems
Designing a New Controller in the Operation of the Hybrid PV-BESS System to Improve the Transient Stability
Modeling of transmission capacity in reserve market considering the penetration of renewable resources
New bidirectional recurrent neural network optimized by improved Ebola search optimization algorithm for lung cancer diagnosis
Separation of SiO2 nanoparticles from H2O vapour using graphene nano-pores in the presence of an external electric field: A molecular dynamics approach
Skin cancer diagnosis (SCD) using Artificial Neural Network (ANN) and Improved Gray Wolf Optimization (IGWO)
A Neural Controller for Induction Motors: Fractional-Order Stability Analysis and Online Learning Algorithm
A New Immersion and Invariance Control and Stable Deep Learning Fuzzy Approach for Power/Voltage Control Problem
A New Robust Control for Induction Motors
An Experimental Machine Learning Approach for Mid-Term Energy Demand Forecasting
Two-Layer Coordinated Energy Management Method in the Smart Distribution Network including Multi-Microgrid Based on the Hybrid Flexible and Securable Operation Strategy
A dynamic general type-2 fuzzy system with optimized secondary membership for online frequency regulation
General type-2 fuzzy multi-switching synchronization of fractional-order chaotic systems
A robust control of a class of induction motors using rough type-2 fuzzy neural networks
An Interval Type-3 Fuzzy System and a New Online Fractional-Order Learning Algorithm: Theory and Practice
New approach to control the induction motors based on immersion and invariance technique
Robust fuzzy control for fractional-order systems with estimated fraction-order

BookWhole (2)

Modern Adaptive Fuzzy Control Systems
Neural Networks and Learning Algorithms in MATLAB

Review (2)

Comprehensive review of load forecasting with emphasis on intelligent computing approaches
Photocatalytic Materials Obtained from E-Waste Recycling: Review, Techniques, Critique, and Update
25
Mohammadhosein Sabzalian

Académico

Ingeniería Mecánica

Universidad de Santiago de Chile

Santiago, Chile