Sarvarkhodzha Nematulloev

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.

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.

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.

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.

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.

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.