World's Best Scientists 2026 revealed!
Mohammad Hassan Khooban

Mohammad Hassan Khooban

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
62
Citations
11115
World Ranking
1490
National Ranking
12

Overview

Mohammad Hassan Khooban is affiliated with Aarhus University in Denmark and has a notable record of research publications primarily in the field of engineering. The scope of their work spans several subfields including Electrical and Electronic Engineering, Control and Systems Engineering, Automotive Engineering, Energy Engineering and Power Technology, and Environmental Engineering.

Their research topics cover a range of specialized areas such as:

  • Microgrid Control and Optimization
  • Advanced Battery Technologies Research
  • Frequency Control in Power Systems
  • Advanced DC-DC Converters
  • Electric Vehicles and Infrastructure
  • Multilevel Inverters and Converters
  • Smart Grid Energy Management

Khooban has contributed to ten publications in the IEEE Transactions on Circuits & Systems II Express Briefs, eight each in IEEE Transactions on Emerging Topics in Computational Intelligence and IEEE Transactions on Industrial Electronics, seven in IET Power Electronics, and six in the Journal of Energy Storage. This indicates a consistent engagement with prominent journals in the electrical engineering and power electronics domains.

Among their recent papers are:

  • "A Novel Deep Reinforcement Learning Controller Based Type-II Fuzzy System: Frequency Regulation in Microgrids" (2020) published in IEEE Transactions on Emerging Topics in Computational Intelligence
  • "A Novel Nonlinear Deep Reinforcement Learning Controller for DC-DC Power Buck Converters" (2020) published in IEEE Transactions on Industrial Electronics
  • "DC/DC Power Converter Control-Based Deep Machine Learning Techniques: Real-Time Implementation" (2020) published in IEEE Transactions on Power Electronics
  • "Energy Management of a Zero-Emission Ferry Boat With a Fuel-Cell-Based Hybrid Energy System: Feasibility Assessment" (2020) published in IEEE Transactions on Industrial Electronics
  • "An Intelligent Non-Integer PID Controller-Based Deep Reinforcement Learning: Implementation and Experimental Results" (2020) published in IEEE Transactions on Industrial Electronics

Khooban has collaborated frequently with several researchers, including Meysam Gheisarnejad, with whom they have 53 joint publications, as well as Jalil Boudjadar, Burak Yıldırım, and Mehdi Rafiei.

In addition to journal articles, Mohammad Hassan Khooban has contributed to book publications, including a recent title published by Elsevier BV in 2024 titled "Applications of Deep Machine Learning in Future Energy Systems."

Best Publications

  • A new load frequency control strategy for micro-grids with considering electrical vehicles

    Mohammad Hassan Khooban;Mohammad Hassan Khooban;Taher Niknam;Frede Blaabjerg;Tomislav Dragičević

  • A new intelligent online fuzzy tuning approach for multi-area load frequency control: Self Adaptive Modified Bat Algorithm

    Mohammad Hassan Khooban;Taher Niknam

  • Load Frequency Control in Microgrids Based on a Stochastic Noninteger Controller

    Mohammad-Hassan Khooban;Taher Niknam;Mokhtar Shasadeghi;Tomislav Dragicevic

  • Shipboard Microgrids: A Novel Approach to Load Frequency Control

    Mohammad-Hassan Khooban;Tomislav Dragicevic;Frede Blaabjerg;Marko Delimar

  • A robust adaptive load frequency control for micro-grids

    Mohammad Hassan Khooban;Mohammad Hassan Khooban;Taher Niknam;Frede Blaabjerg;Pooya Davari

  • Secondary Load Frequency Control of Time-Delay Stand-Alone Microgrids With Electric Vehicles

    Mohammad-Hassan Khooban

  • Fast fault detection and classification based on a combination of wavelet singular entropy theory and fuzzy logic in distribution lines in the presence of distributed generations

    Moslem Dehghani;Mohammad Hassan Khooban;Taher Niknam

  • Model Predictive Control of DC–DC Converters to Mitigate the Effects of Pulsed Power Loads in Naval DC Microgrids

    Mohammad Mehdi Mardani;Mohammad Hassan Khooban;Ali Masoudian;Tomislav Dragicevic

  • A self-tuning load frequency control strategy for microgrids: Human brain emotional learning

    Mohammad Reza Khalghani;Mohammad Hassan Khooban;Esmaeil Mahboubi-Moghaddam;Navid Vafamand

  • Probabilistic Forecasting of Hourly Electricity Price by Generalization of ELM for Usage in Improved Wavelet Neural Network

    Mehdi Rafiei;Taher Niknam;Mohammad-Hassan Khooban

  • A Novel Deep Reinforcement Learning Controller Based Type-II Fuzzy System: Frequency Regulation in Microgrids

    Mohammad Hassan Khooban;Meysam Gheisarnejad

  • A Novel Nonlinear Deep Reinforcement Learning Controller for DC–DC Power Buck Converters

    Meysam Gheisarnejad;Hamed Farsizadeh;Mohammad Hassan Khooban

  • Networked Fuzzy Predictive Control of Power Buffers for Dynamic Stabilization of DC Microgrids

    Navid Vafamand;Mohammad Hassan Khooban;Tomislav Dragicevic;Frede Blaabjerg

  • Secondary load frequency control for multi-microgrids: HiL real-time simulation

    Meysam Gheisarnejad;Mohammad Hassan Khooban

  • DC/DC Power Converter Control-Based Deep Machine Learning Techniques: Real-Time Implementation

    Mojtaba Hajihosseini;Milad Andalibi;Meysam Gheisarnejad;Hamed Farsizadeh

  • Tracking Control for a DC Microgrid Feeding Uncertain Loads in More Electric Aircraft: Adaptive Backstepping Approach

    Shirin Yousefizadeh;Jan Dimon Bendtsen;Navid Vafamand;Mohammad Hassan Khooban

  • A Novel Predictive Fuzzy Logic-Based Energy Management System for Grid-Connected and Off-Grid Operation of Residential Smart Microgrids

    Mohammad Jafari;Zahra Malekjamshidi;Jianguo Zhu;Mohammad-Hassan Khooban

  • A particle swarm optimization approach for fuzzy sliding mode control for tracking the robot manipulator

    Mohammad Reza Soltanpour;Mohammad Hassan Khooban

  • A new approach in MPPT for photovoltaic array based on Extremum Seeking Control under uniform and non-uniform irradiances

    Hamed Heydari-doostabad;Reza Keypour;Mohammad Reza Khalghani;Mohammad Hassan Khooban

  • Design an optimal fuzzy fractional proportional integral derivative controller with derivative filter for load frequency control in power systems

    Meysam Gheisarnejad;Mohammad Hassan Khooban

  • Multi-Objective Distribution feeder reconfiguration to improve transient stability, and minimize power loss and operation cost using an enhanced evolutionary algorithm at the presence of distributed generations

    Esmaeil Mahboubi-Moghaddam;Mohammad Rasoul Narimani;Mohammad Hassan Khooban;Ali Azizivahed

  • T–S fuzzy model predictive speed control of electrical vehicles

    Mohammad Hassan Khooban;Navid Vafamand;Taher Niknam

  • Robust Non-Fragile Fuzzy Control of Uncertain DC Microgrids Feeding Constant Power Loads

    Navid Vafamand;Mohammad Hassan Khooban;Tomislav Dragicevic;Frede Blaabjerg

Frequent Co-Authors

Tomislav Dragicevic
Tomislav Dragicevic Technical University of Denmark
Taher Niknam
Taher Niknam Shiraz University of Technology
Frede Blaabjerg
Frede Blaabjerg Aalborg University
Abdollah Kavousi-Fard
Abdollah Kavousi-Fard Shiraz University of Technology
Mehrdad Saif
Mehrdad Saif University of Windsor
Jamshid Aghaei
Jamshid Aghaei Central Queensland University
Saleh Mobayen
Saleh Mobayen National Yunlin University of Science and Technology
Joao P. S. Catalao
Joao P. S. Catalao University of Porto
Mohammad Pourmahmood Aghababa
Mohammad Pourmahmood Aghababa Urmia University of Technology
Huai Wang
Huai Wang Aalborg University

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