Dr. Mahsa Mohammadi earned her Doctorate in Analytical Chemistry from Imam Khomeini International University in Qazvin, where she attended from 2015 to 2019, achieving an impressive GPA of 19.43 out of 20. Her academic journey began with a Masterās degree in the same field at the same institution, where she developed a strong foundation in analytical techniques and methodologies. Dr. Mohammadiās dedication to her studies and research has established her as a knowledgeable professional in analytical chemistry. Her expertise contributes significantly to advancements in the field. šš¬
Experience
Dr. Mahsa Mohammadi is a distinguished Visiting Professor currently teaching at several institutions, including Imam Khomeini International University since 2017, Bouin Zahra Technical University since 2019, and Alborz University since 2018. She specializes in General Chemistry, Analytical Chemistry, Organic Chemistry, and various laboratory courses, demonstrating a commitment to enhancing students’ understanding of chemical principles. Her experience spans multiple universities, where she imparts knowledge and fosters scientific curiosity among her students. Dr. Mohammadi’s passion for education and her expertise in the field make her a valuable asset to the academic community. š§ŖšāØ
Research focus
Dr. Mahsa Mohammadi’s research primarily focuses on the application of spectroscopic techniques and chemometric methods in the analysis of crude oils and other petroleum products. Her work includes the rapid classification and determination of crude oil characteristics using ATR-FTIR spectroscopy, as well as the development of predictive models through techniques like support vector machine regression. Additionally, she investigates the effects of nanomaterials, such as SiOā nanoparticles, on polymer solutions. Overall, her contributions significantly enhance the understanding and quality assessment of hydrocarbon materials. š¢ļøš¬š
Publication top notes
Rapid determination and classification of crude oils by ATR-FTIR spectroscopy and chemometric methods
ATR-FTIR spectroscopy and chemometric techniques for determination of polymer solution viscosity in the presence of SiO2 nanoparticle and salinity
Quality classification of gasoline samples based on their aliphatic to aromatic ratio and analysis of PONA content using genetic algorithm based multivariate techniques and ATRĀ ā¦
Infrared spectrometric evaluation of carbon nanotube sulfonation
Classification and determination of sulfur content in crude oil samples by infrared spectrometry
Artificial neural network for quantitative and qualitative determination of the viscosity of nanofluids by ATR-FTIR spectrometry
ConclusionĀ
Dr. Mahsa Mohammadi’s robust academic credentials, significant teaching experience, and impactful research contributions make her a strong candidate for the Best Researcher Award. Her work not only advances the field of analytical chemistry but also addresses important practical applications, showcasing her as an exemplary researcher and educator.Ā