Dr. Shahin Ahmadi | Chemometrics | Best Researcher Award
Associate Professor in Islamic Azad University Tehran Medical Science, Iran.
Shahin Ahmadi is an accomplished Assistant Professor in Analytical Chemistry at Islamic Azad University with a robust academic background, holding a B.Sc., M.Sc., and Ph.D. from Razi University of Kermanshah. Over his extensive teaching career, he has also served as a guest lecturer at multiple universities. Ahmadi’s notable achievements include multiple “Top Researcher” awards and an impressive publication record with influential papers in journals such as Journal of Molecular Structure and Medicinal Chemistry Research. His research spans QSAR modeling, drug design, and environmental applications. Actively engaged in the scientific community, he reviews for esteemed journals and presents at international conferences. His role as a thesis advisor further underscores his commitment to nurturing future researchers. While his impact is significant, expanding interdisciplinary collaborations and public engagement could enhance his research’s societal reach and innovation.
Shahin Ahmadi’s educational journey began with a Bachelor of Science in Applied Chemistry from Kashan University in 2000. He further pursued a Master of Science in Analytical Chemistry at Razi University of Kermanshah, completing his degree in 2002. Building on this foundation, he earned a Ph.D. in Analytical Chemistry from the same institution in 2007. His advanced education has provided him with a comprehensive understanding of analytical techniques and methodologies, equipping him with the skills needed to excel in both academic and research environments. This strong educational background has been instrumental in shaping his career as an Assistant Professor at Islamic Azad University and in his significant contributions to the field of Analytical Chemistry.
Dr. Shahin Ahmadi is an esteemed Assistant Professor in the field of Analytical Chemistry at Islamic Azad University, Kermanshah, where he has served since 2003. His teaching portfolio includes courses such as Advanced Analytical Chemistry and Analytical Spectroscopy across several Islamic Azad University campuses. Dr. Ahmadi’s research contributions are well-recognized, with multiple awards for top researcher at his university from 2012 to 2016. His research includes significant publications in reputable journals, with topics ranging from QSAR modeling to environmental applications. Dr. Ahmadi has also played a crucial role as a reviewer for several high-impact scientific journals and has actively participated in various national and international conferences. His role as a thesis advisor for numerous M.Sc. students further highlights his commitment to advancing knowledge in Analytical Chemistry and nurturing the next generation of researchers.
Shahin Ahmadi’s research interests lie primarily in Analytical Chemistry, with a focus on developing advanced methodologies for analyzing chemical compounds and understanding their interactions. His work extensively covers Quantitative Structure-Activity Relationship (QSAR) modeling, where he explores the predictive relationships between chemical structure and biological activity, particularly in drug design and environmental applications. Ahmadi’s research includes the use of computational methods like Monte Carlo simulations and genetic algorithms to predict the behavior of chemical substances, including their adsorption properties and cytotoxic activities. Additionally, he investigates the application of novel materials, such as polypyrrole-modified magnetic nanoparticles, for the sensitive detection and extraction of pharmaceuticals and environmental pollutants. His interdisciplinary approach also encompasses chemometrics and experimental design, aiming to enhance analytical techniques and contribute to advancements in pharmaceutical chemistry, environmental science, and material science.
Shahin Ahmadi possesses a robust set of research skills that underscore his expertise in Analytical Chemistry. His proficiency in Quantitative Structure-Activity Relationship (QSAR) Modeling and Monte Carlo Methods reflects a deep understanding of predictive modeling and computational techniques, essential for drug design and environmental analysis. His experience with Polypyrrole-modified Magnetic Nanoparticles and Solid-Phase Extraction demonstrates advanced capabilities in developing innovative materials for analytical applications. Ahmadi’s adeptness in High-Performance Liquid Chromatography (HPLC) and Chemometrics further enhances his ability to conduct precise and sophisticated chemical analyses. Additionally, his work with Genetic Algorithms and Self-Organizing Maps showcases his skills in optimizing and interpreting complex data. Through his extensive publication record and successful supervision of M.Sc. theses, Ahmadi has demonstrated exceptional analytical skills, research design, and data interpretation capabilities, contributing significantly to his field.
Awards and Recognition
Shahin Ahmadi has garnered significant recognition for his exceptional contributions to the field of Analytical Chemistry. He has been honored as the “Top Researcher” at Islamic Azad University, Kermanshah Branch, for five consecutive years from 2012 to 2016, reflecting his consistent excellence in research. His scholarly work has been widely acknowledged through numerous publications in esteemed journals, including Journal of Molecular Structure and Medicinal Chemistry Research. Additionally, Ahmadi’s role as a reviewer for prestigious scientific journals such as TALANTA and SAR and QSAR in Environmental Research underscores his respected standing within the academic community. His active participation in international conferences and workshops further highlights his commitment to advancing scientific knowledge and fostering collaborative research. These accolades collectively affirm his distinguished position and substantial impact within the field of Analytical Chemistry.
Shahin Ahmadi is a strong candidate for the Best Researcher Award due to his extensive academic background, numerous honors, and active engagement in research and scientific communities. His contributions to Analytical Chemistry through a prolific publication record, consistent recognition, and role as a mentor demonstrate a high level of expertise and commitment. Addressing areas for improvement, such as fostering interdisciplinary collaborations and enhancing public engagement, could further strengthen his impact and visibility in the field.
Publications Top Notes
- Simultaneous determination of copper, nickel, cobalt and zinc using zincon as a metallochromic indicator with partial least squares
- Authors: J. Ghasemi, S. Ahmadi, K. Torkestani
- Journal: Analytica Chimica Acta
- Year: 2003
- Citations: 107
- Mathematical modeling of cytotoxicity of metal oxide nanoparticles using the index of ideality correlation criteria
- Authors: S. Ahmadi
- Journal: Chemosphere
- Year: 2020
- Citations: 86
- Increasing the electrical efficiency and thermal management of a photovoltaic module using expanded graphite (EG)/paraffin-beef tallow-coconut oil composite as phase change material
- Authors: B. Karami, N. Azimi, S. Ahmadi
- Journal: Renewable Energy
- Year: 2021
- Citations: 49
- Novel electrochemical sensor based on modified glassy carbon electrode with graphene quantum dots, chitosan and nickel molybdate nanocomposites for diazinon and optimal design
- Authors: T. Ghiasi, S. Ahmadi, E. Ahmadi, MRTB Olyai, Z. Khodadadi
- Journal: Microchemical Journal
- Year: 2021
- Citations: 45
- Prediction of the adsorption coefficients of some aromatic compounds on multi-wall carbon nanotubes by the Monte Carlo method
- Authors: S. Ahmadi, A. Akbari
- Journal: SAR and QSAR in Environmental Research
- Year: 2018
- Citations: 45
- Determination of acidity constants of 4-(2-pyridylazo) resorcinol in binary acetonitrile+ water mixtures
- Authors: J. Ghasemi, S. Ahmadi, M. Kubista, A. Forootan
- Journal: Journal of Chemical & Engineering Data
- Year: 2003
- Citations: 44
- Predictive QSAR modeling for the antioxidant activity of natural compounds derivatives based on Monte Carlo method
- Authors: S. Ahmadi, H. Ghanbari, S. Lotfi, N. Azimi
- Journal: Molecular Diversity
- Year: 2021
- Citations: 43
- Combination of genetic algorithm and partial least squares for cloud point prediction of nonionic surfactants from molecular structures
- Authors: J. Ghasemi, S. Ahmadi
- Journal: Annali di Chimica: Journal of Analytical, Environmental and Cultural Chemistry
- Year: 2007
- Citations: 43
- Prediction of chalcone derivative cytotoxicity activity against MCF-7 human breast cancer cell by Monte Carlo method
- Authors: S. Ahmadi, F. Mardinia, N. Azimi, M. Qomi, E. Balali
- Journal: Journal of Molecular Structure
- Year: 2019
- Citations: 42
- Correlation intensity index: Mathematical modeling of cytotoxicity of metal oxide nanoparticles
- Authors: S. Ahmadi, A.P. Toropova, A.A. Toropov
- Journal: Nanotoxicology
- Year: 2020
- Citations: 38