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Hamid Khayyam

Hamid Khayyam

D-Index & Metrics

Engineering and Technology

D-Index
38
Citations
5506
World Ranking
8091
National Ranking
408

Overview

Hamid Khayyam is affiliated with RMIT University in Australia and conducts research primarily in the field of Engineering. Their research contributions span several subfields including Automotive Engineering, Electrical and Electronic Engineering, Control and Systems Engineering, Statistical and Nonlinear Physics, and Industrial and Manufacturing Engineering.

The scientist's work focuses on various topics related to transportation and energy systems. Key areas of research include Electric and Hybrid Vehicle Technologies, Electric Vehicles and Infrastructure, Advanced Battery Technologies Research, Vehicle Emissions and Performance, Complex Network Analysis Techniques, Opinion Dynamics and Social Influence, and Autonomous Vehicle Technology and Safety.

Hamid Khayyam has authored and co-authored multiple papers, notable recent publications include:

  • "Artificial Intelligence/Machine Learning in Energy Management Systems, Control, and Optimization of Hydrogen Fuel Cell Vehicles" (2023) published in Sustainability
  • "Improving energy efficiency of carbon fiber manufacturing through waste heat recovery: A circular economy approach with machine learning" (2021) published in Energy
  • "Interval Type 2 Fuzzy Logic Control for Energy Management of Hybrid Electric Autonomous Vehicles" (2020) published in IEEE Transactions on Intelligent Vehicles
  • "A machine learning-based approach for vital node identification in complex networks" (2022) published in Expert Systems with Applications
  • "Energy management system of networked microgrids through optimal reliability-oriented day-ahead self-healing scheduling" (2020) published in Sustainable Energy Grids and Networks

They frequently publish in academic venues such as Sustainability, Expert Systems with Applications, SSRN Electronic Journal, IEEE Transactions on Intelligent Vehicles, and IEEE Transactions on Intelligent Transportation Systems.

Hamid Khayyam has collaborated extensively with co-authors including Mahdi Jalili, Ali Jamali, Reza N. Jazar, Mojgan Fayyazi, and Abbas S. Milani, reflecting a consistent engagement with a research community focused on energy management, intelligent vehicles, and machine learning applications in engineering.

Best Publications

  • Mechanical Property and Structure of Covalent Functionalised Graphene/Epoxy Nanocomposites

    Minoo Naebe;Jing Wang;Abbas Amini;Hamid Khayyam

  • Carbon fiber reinforced metal matrix composites: Fabrication processes and properties

    Kamyar Shirvanimoghaddam;Salah U. Hamim;Mohammad Karbalaei Akbari;Seyed Mousa Fakhrhoseini

  • PAN precursor fabrication, applications and thermal stabilization process in carbon fiber production: Experimental and mathematical modelling

    Hamid Khayyam;Reza N. Jazar;Srinivas Nunna;Gelayol Golkarnarenji

  • Crack Damage in Polymers and Composites: A Review

    Minoo Naebe;Mohammad Mahdi Abolhasani;Hamid Khayyam;Abbas Amini

  • Adaptive intelligent energy management system of plug-in hybrid electric vehicle

    Hamid Khayyam;Alireza Bab-Hadiashar

  • Boron carbide reinforced aluminium matrix composite: Physical, mechanical characterization and mathematical modelling

    K. Shirvanimoghaddam;H. Khayyam;H. Abdizadeh;M. Karbalaei Akbari

  • Artificial Intelligence and Internet of Things for Autonomous Vehicles

    Hamid Khayyam;Bahman Javadi;Mahdi Jalili;Reza N. Jazar;Reza N. Jazar

  • Coordinated energy management of vehicle air conditioning system

    Hamid Khayyam;Abbas Z. Kouzani;Eric J. Hu;Saeid Nahavandi

  • Effect of B4C, TiB2 and ZrSiO4 ceramic particles on mechanical properties of aluminium matrix composites: Experimental investigation and predictive modelling

    K. Shirvanimoghaddam;H. Khayyam;H. Abdizadeh;M. Karbalaei Akbari

  • Adaptive cruise control look-ahead system for energy management of vehicles

    Hamid Khayyam;Saeid Nahavandi;Sam Davis

  • Artificial Intelligence/Machine Learning in Energy Management Systems, Control, and Optimization of Hydrogen Fuel Cell Vehicles

    Unknown

  • Autonomous Vehicles: Autodriver Algorithm and Vehicle Dynamics

    Hormoz Marzbani;Hamid Khayyam;Ching Nok To;Dai Vo Quoc

  • Intelligent control of vehicle to grid power

    Hamid Khayyam;Hassan Ranjbarzadeh;Vincenzo Marano

  • Enhanced thermal stability and lifetime of epoxy nanocomposites using covalently functionalized clay: experimental and modelling

    Omid Zabihi;Hamid Khayyam;Bronwyn L. Fox;Minoo Naebe

  • Improving energy efficiency of carbon fiber manufacturing through waste heat recovery: A circular economy approach with machine learning

    Hamid Khayyam;Minoo Naebe;Abbas S. Milani;Seyed Mousa Fakhrhoseini

  • Chemically Enhanced Wet‐Spinning Process to Accelerate Thermal Stabilization of Polyacrylonitrile Fibers

    Seyed Mousa Fakhrhoseini;Hamid Khayyam;Minoo Naebe

  • Interval Type 2 Fuzzy Logic Control for Energy Management of Hybrid Electric Autonomous Vehicles

    Duong Phan;Alizera Bab-Hadiashar;Mojgan Fayyazi;Reza Hoseinnezhad

  • Intelligent energy management control of vehicle air conditioning via look-ahead system

    Hamid Khayyam;Saeid Nahavandi;Eric Hu;Abbas Kouzani

  • Dynamic Prediction Models and Optimization of Polyacrylonitrile (PAN) Stabilization Processes for Production of Carbon Fiber

    Hamid Khayyam;Minoo Naebe;Omid Zabihi;Reza Zamani

  • Intelligent battery energy management and control for vehicle-to-grid via cloud computing network

    Hamid Khayyam;Jemal Abawajy;Bahman Javadi;Andrzej Goscinski

  • Support vector regression modelling and optimization of energy consumption in carbon fiber production line

    Gelayol Golkarnarenji;Minoo Naebe;Khashayar Badii;Abbas S. Milani

  • Al-TiB2 micro/nanocomposites: Particle capture investigations, strengthening mechanisms and mathematical modelling of mechanical properties

    Mohammad Karbalaei Akbari;Kamyar Shirvanimoghaddam;Zhenyin Hai;Serge Zhuiykov

Frequent Co-Authors

Minoo Naebe
Minoo Naebe Deakin University
Reza N. Jazar
Reza N. Jazar RMIT University
Abbas S. Milani
Abbas S. Milani University of British Columbia
Alireza Bab-Hadiashar
Alireza Bab-Hadiashar RMIT University
Abbas Z. Kouzani
Abbas Z. Kouzani Deakin University
Bronwyn Fox
Bronwyn Fox Swinburne University of Technology
Eric Hu
Eric Hu University of Adelaide
Saeid Nahavandi
Saeid Nahavandi Swinburne University of Technology
Jemal H. Abawajy
Jemal H. Abawajy Deakin University
Abhijit Date
Abhijit Date RMIT University

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