Shah Dad Hasil | Computational Methods | Research Excellence Award

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Mr. Shah Dad Hasil | Computational Methods | Research Excellence Award

University of Electronic Science and Technology of China | China

Mr. Shah Dad Hasil is an emerging researcher in computer science currently pursuing graduate studies at the University of Electronic Science and Technology of China. His academic work lies at the intersection of artificial intelligence, bioinformatics, and computational drug discovery, where he focuses on designing intelligent computational tools to accelerate biomedical research. His work integrates machine learning algorithms, molecular docking techniques, and molecular dynamics simulations to evaluate molecular interactions and predict the biological activity of potential therapeutic compounds. A major focus of his current research is the development of AI-based predictive models targeting Trypanosoma cruzi, the parasite responsible for Chagas disease, aiming to support the discovery of new antiviral and antiparasitic drug candidates. Hasil has also demonstrated interdisciplinary research interests, contributing to studies in renewable energy technologies and computational cryptography. His research outputs have appeared in several peer-reviewed publications, including articles published in the Journal of Marine Science and Engineering. In addition to his research contributions, he has strong programming expertise in Python and C++ and practical experience working with deep learning frameworks such as TensorFlow and PyTorch. His long-term academic goal is to pursue a Ph.D. and advance AI-driven methodologies that address critical challenges in drug discovery and biomedical science.

 

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Featured Publications

Hamid Shahivandi | Computational Methods | Editorial Board Member

Published on by Global Energy Awards

Dr. Hamid Shahivandi | Computational Methods | Editorial Board Member

Shahed University | Iran

Hamid Shahivandi, Ph.D., is a passionate physicist specializing in computational materials science with a focus on perovskite solar cells. Based in Tehran, Iran, he has over a decade of academic experience as a researcher, lecturer, and laboratory supervisor. His innovative research combines precision and creativity, positioning him as a dedicated contributor to the fields of condensed matter physics and semiconductor technology.

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🎓 Early Academic Pursuits

Dr. Shahivandi embarked on his academic journey with a Bachelor’s in Physics from Lorestan University (2004–2008). He pursued further specialization in Solid-State Physics, completing his Master’s (2008–2011) and Ph.D. (2016–2020) at K. N. Toosi University of Technology, Tehran. His doctoral dissertation focused on the temperature-dependent performance of CH3NH3PbI3 perovskite solar cells, demonstrating his commitment to solving real-world challenges in renewable energy technologies.

💼 Professional Endeavors

Dr. Shahivandi has been an integral part of Shahed University since 2014, serving as both a Laboratory Supervisor and a Lecturer. His teaching portfolio spans foundational and advanced topics, including General Physics, Electricity and Magnetism, and Physical Properties of Materials. As a Teaching Assistant at K. N. Toosi University, he gained early exposure to educational excellence, fostering his skills in mentorship and pedagogy.

🔬 Contributions and Research Focus

Dr. Shahivandi’s research interests are deeply rooted in computational physics, with key contributions in:

  • Perovskite Solar Cells: Developing models to optimize performance and minimize degradation.
  • Carbon Nanotubes: Investigating catalytic growth mechanisms for double-walled carbon nanotubes.
  • Crystals: Studying the growth mechanisms of Calcium Fluoride and Germanium crystals.
    His theoretical and computational methodologies have led to several impactful publications in IEEE Journal of Photovoltaics and Solar Energy Materials & Solar Cells.

🌍 Impact and Influence

Dr. Shahivandi’s work on temperature effects and degradation mechanisms in perovskite solar cells has paved the way for more efficient renewable energy technologies. His insights into semiconductors and nanostructures have influenced peers and inspired collaborative research. His methodological rigor ensures that his findings resonate across academic and industrial communities.

🛠 Research Skills

Dr. Shahivandi excels in:

  • Computational Tools: Expertise in Molecular Dynamics Simulation and Density Functional Theory (DFT).
  • Analytical Techniques: Proficiency with Atomic Force Microscopy (AFM) and Vibrating-Sample Magnetometer (VSM).
  • Model Development: Skilled in mathematization and modeling of complex physical phenomena.
  • Project Management: Adept at leading and organizing multi-faceted research projects.

🏆 Awards and Honors

Dr. Shahivandi has been recognized for his scientific excellence and educational impact. His achievements include poster presentations at national nanoscience congresses and impactful research contributions published in leading journals.

🌟 Legacy and Future Contributions

Dr. Shahivandi’s legacy is marked by his dedication to advancing renewable energy technologies and materials science. Looking ahead, he aims to explore novel nanomaterials for energy applications and foster global collaborations to tackle pressing challenges in sustainable development.

Publication top notes

Temperature dependence of iodine vacancies concentration in CH3NH3PbI3 perovskite: A theoretical analysis

  • Authors: Hamid Shahivandi, Mohamadhosein Nosratjoo
    Journal: Physica B: Condensed Matter
    Year: 2024

Theory of light-induced degradation in perovskite solar cells

  • Authors: Hamid Shahivandi
    Journal: (No journal name provided)
    Year: 2020

Study of the effect of temperature on light-induced degradation in methylammonium lead iodine perovskite solar cells

  • Authors: Hamid Shahivandi, Majid Vaezzadeh, Mohammadreza Saeidi
    Journal: Solar Energy Materials and Solar Cells
    Year: 2020

Iodine Vacancy Formation Energy in CH3NH3PbI3 Perovskite

  • Authors: Hamid Shahivandi, Majid Vaezzadeh, Mohammadreza Saeidi
    Journal: IEEE Journal of Photovoltaics
    Year: 2020

Theoretical Study of Effective Parameters in Catalytic Growth of Carbon Nanotubes

  • Authors: Hamid Shahivandi, Majid Vaezzadeh, Mohammadreza Saeidi
    Journal: physica status solidi (a)
    Year: 2017