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Dr. Golibjon Berdiyorov

    Calculated based on number of publications stored in Pure and citations from Scopus
    20012025

    Research activity per year

    Personal profile

    Biography

    Golibjon Berdiyorov is a senior scientist at Hamad Bin Khalifa University. He earned his Diploma in Physics from Tashkent State University, Uzbekistan, in 1998. In 2007, he completed his PhD at the University of Antwerp, Belgium, with a thesis focused on the computational study of superconducting material parameters under external electromagnetic fields.

    Following his PhD, Dr. Berdiyorov undertook several years of postdoctoral research, where he gained expertise in a range of computational simulation techniques, spanning from first-principles density functional theory to continuum models for large-scale simulations.

    His current research focuses on theoretical materials science for energy, water, and environmental applications. He is particularly interested in predicting and designing novel functional materials for applications such as photovoltaics, water desalination, and carbon capture and storage.

    During his tenure as an Assistant Professor at King Fahd University of Petroleum and Minerals, Dr. Berdiyorov played a significant role in teaching and mentoring both undergraduate and graduate students, fostering the next generation of scientists and engineers.

    Education

    • PhD in Computational Physics, University of Antwerp, Belgium, September 2007
    • Honored Diploma in Physics, Tashkent State University, Tashkent, Uzbekistan, June 1998

    Research Interests

    Key research areas

    • Theoretical Development of Rectenna-Based Solar Cells: Investigating the fundamental principles and mechanisms for advancing rectenna-based solar energy harvesting.
    • Computational Screening of Materials: Designing and predicting materials for molecular electronics and spintronics applications.
    • Atomistic Simulations for Molecular Self-Assembly: Modeling self-assembly processes for the development of anticorrosive protective layers.
    • Gas Sensing Properties of Functional Materials: Exploring the potential of low-dimensional materials for advanced gas detection applications.
    • Metal-Ion Battery Research: Predictive modeling of electrode materials to enhance performance and efficiency.
    • Thermoelectric Properties of Low-Dimensional Materials: First-principles predictions of materials for thermoelectric energy conversion.
    • Water Filtration and Desalination: Theoretical studies on nanostructured materials for efficient water purification and desalination technologies.
    • Nanostructured Catalytic Systems: Designing catalysts for gas reforming processes and sustainable aviation fuel production.
    • Hydrogen Energy Systems: Computational modeling of hydrogen generation, transport, and storage in innovative materials.

    Research methods

    • Density Functional Theory (DFT): Expertise in studying the structural, electronic, and optical properties of low-dimensional and molecular systems.
    • Phonon Calculations: Proficient in analyzing structural stability through phonon dispersion studies.
    • Transition State Analysis: Skilled in nudged elastic band (NEB) calculations for identifying and characterizing reaction pathways.
    • Quantum Transport Simulations: Conducting advanced quantum transport calculations using the nonequilibrium Green’s function formalism integrated with DFT.
    • Thermoelectric Calculations: Modeling and predicting thermoelectric properties of nanostructured systems using first-principles methods.
    • Molecular Dynamics: Extensive experience in DFT-based and nonadiabatic molecular dynamics simulations for understanding dynamic processes.
    • Monte Carlo Simulations: Utilizing adaptive kinetic and time-stamped force-bias Monte Carlo methods for potential landscape analysis.
    • Classical and Reactive Force-Field Simulations: Applying molecular dynamics with classical and reactive force fields for diverse materials and chemical processes.
    • Custom Parallel Computing Solutions: Development of parallelized codes to solve coupled differential equations derived from mean-field theories, including, time-dependent Ginzburg-Landau equations combined with heat transfer analysis and Sine-Gordon equations for nonlinear dynamics.

     

    Experience

    • Qatar Environment and Energy Research Institute, Hamad Bin Khalifa University, Doha, Qatar
      July 2014 – Present

      • Senior Scientist (since July 2019).
    • College of Sciences, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia
      August 2013 – July 2014

    • Department of Physics, Loughborough University, UK
      October 2012 – August 2013

      • Marie-Curie Research Fellow.
    • Department of Physics, University of Antwerp, Belgium
      October 2007 – September 2012

      • Postdoctoral Researcher (Research Foundation – Flanders).
    • Argonne National Laboratory, USA
      August 2011 – August 2012

    • Northern Illinois University, USA
      March 2009 – May 2010

    • Atomic Center of Bariloche, Argentina
      October 2009

    • Institute of Applied Physics, National University of Uzbekistan
      June 1998 – September 2002

    Keywords

    • QC Physics
    • Energy Applications
    • Water Desalination
    • Carbon Capture and Storage
    • Q Science (General)
    • Computational Materials Science
    • Nanostructured Materials
    • Low-Dimensional Systems

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