Sarvarkhodzha Nematulloev
PHD Researcher en Ultrafast Laser Spectroscopy and 4D Electron Imaging (KAUST)
Ingeniería de Ciencias de los Materiales en KAUST
Arabia Saudita
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PHD Researcher en Ultrafast Laser Spectroscopy and 4D Electron Imaging (KAUST)
Results-driven scientist with over decade of experience in hands-on experimentation, computational modeling, device fabrication, application of AI, and Density Functional Theory (DFT). Possesses deep expertise in materials characterization, quantum physics, and quantum data analysis, with a strong track record of integrating advanced simulations and state-of-the-art instrumentation to tackle complex scientific problems. Adept at transforming data into impactful insights across energy, environmental, and materials science domains. Passionate about driving breakthroughs in sustainability, green energy, LCA and TEA, with a strong commitment to innovation in new materials, sustainable technologies, and high-impact R&D.
Redes sociales
No se agregaron enlaces sociales
Experiencia
Ultrafast Laser Spectroscopy and 4D Electron Imaging (KAUST)
PHD Researcher
January 2022 - Presente
Investigating charge transport (electron-phonon coupling) and efficiency in solar cells materials.
Conducting 4D electron imaging and real-time characterization of dynamic nanomaterial behaviors.
Synthesizing and characterizing perovskites, quantum dots, and metal-organic frameworks (MOFs).
Applying ML algorithms to predict material properties and performance across diverse nanostructures.
Performing LCA and TEA to evaluate the sustainability and scalability of advanced energy systems.
Chemical Analysis Unit in R&DC Aramco
Research Intern
June 2023 - August 2023
Conducted full-scale analysis of formation water, integrating chemical testing, statistical evaluation, and quality assessment to produce detailed, standards-compliant analytical reports.
Developed and validated a method for chlorine and iodine detection.
Clean Combustion Research Center (KAUST)
Master Student Researcher
January 2020 - December 2021
Autoignition studies on sustainable fuels (hydrogen and biofuel blends) to evaluate IDT and emissions.
Utilized mid-infrared (mid-IR) spectroscopy to detect and quantify harmful byproducts post-ignition.
Wrote mathematical models and applied ML to predict IDT under varying thermodynamic conditions.
Synthesized and characterized a range of carbon-free and mixed fuels to assess performance.
Clean Combustion Research Center (KAUST)
Research Intern
November 2018 - April 2019
Investigated IDT of various fuels to support the development of renewable fuels.
Applied ML and computational modeling to predict fuel properties and performance.
Study of 14 renewable fuel blends, synthesized from 8 components, to evaluate their suitability.
Students HR department of National University of Science and Technology “MISiS”
Data Engineer
May 2018 - November 2019
Segmentation student data for targeted programs and surveys.
Build ETL pipelines to clean, transform and load data into a central database.
Develop scripts and APIs for syncing data across platforms.
Composite Materials Research Center, National University of Science and Technology “MISiS”
Research Assistant
June 2016 - January 2020
Fabricated high-performance and high-temperature CFRP for structural and aerospace applications.
Developed and validated mathematical models to predict the mechanical properties of CFRP materials.
Performed mechanical and chemical characterization of polymers, interfaces and composite materials.
Corrosion analysis and material testing to assess durability under extreme environmental conditions.
Certificaciones y Distintivos
No se agregó certificaciones o distintivos
Proyectos
No se agregaron proyectos
Idiomas
Árabe
Intermedio
Inglés
Nativo
Farsi
Nativo
Ruso
Nativo
Español
Intermedio
Turco
Principiante
Habilidades
Data Analysis
Teaching
Research on New Materials
Spectroscopy
Product Life Cycle
Composite Structures
Artificial Intelligence / Machine Learning Related Activities
Nanomaterials
Education Technology (Ed Tech)
Fluorescence Microscopy
2D Structural Analysis
Electron Microscopy
High Performance Computing
Carbon Footprint Evaluation
Polymers
Semiconductor Fabrication
Quantum Physics
Quantum Computing
Density Functional Theory
Corrosion Engineering
Alternate Fuels for IC Engines
Carbon
Sustainability