Assistant Professor at Sharif University of Technology , Iran
Dr. Somaye Mohammadi, an Assistant Professor at Sharif University of Technology, is an accomplished researcher in mechanical engineering, specializing in acoustics, vibrations, condition monitoring, and intelligent diagnostics. With over 13 journal publications and more than 30 conference papers, her research spans both theoretical and applied domains. She has collaborated extensively with major industries, contributing to real-world problem-solving and development of intelligent diagnostic systems. Recognized nationally, she has received multiple best paper awards and was honored for the best Ph.D. thesis in acoustics and vibration. Her leadership roles in major conferences and active teaching at top universities further reflect her academic influence. Technically proficient in a wide range of engineering and AI software, she demonstrates strong research and teaching capabilities. While expanding international collaborations and citation metrics would further enhance her profile, her current achievements and impact make her a highly deserving candidate for the Best Researcher Award.
Professional Profile
Education🎓
Dr. Somaye Mohammadi holds a Ph.D. in Mechanical Engineering from Amirkabir University of Technology (Tehran Polytechnic), completed in 2021 with an exceptional GPA of 19.58/20. Her doctoral research, supervised by Prof. Abdolreza Ohadi, focused on modeling and predicting tire/road noise using semi-analytical and statistical methods, earning national recognition as the best Ph.D. thesis by the Iranian Society of Acoustics and Vibration. She also earned her M.Sc. and B.Sc. degrees in Mechanical Engineering from the same university with GPAs of 19.17/20 and 18.71/20, respectively. Her M.Sc. thesis addressed the dynamic balancing of a three-cylinder engine and was supported by IranKhodro Powertrain Company. As an undergraduate, her thesis explored the dynamic response of a passive biped robot. Throughout her academic journey, Dr. Mohammadi consistently ranked among the top students and gained admission into advanced programs through Iran’s elite talent quotas, reflecting her strong academic performance and dedication to engineering research.
Professional Experience📝
Dr. Somaye Mohammadi has built a robust professional profile through diverse academic and industrial roles. She currently serves as an Assistant Professor at Sharif University of Technology, where she also holds leadership positions as the Director of Public Relations and Deputy of the Continuous Professional Development Center. Previously, she was a postdoctoral researcher under Prof. Mehdi Behzad, contributing to advanced diagnostics in mechanical systems. She has worked as a CAE expert at Zamyad Company and has collaborated with Behravesh Vibration Engineering Company. Her consulting experience includes industrial vibration analysis, diagnostics, and reliability enhancement across sectors such as petrochemicals, water utilities, and mining. She has held key roles in organizing major national conferences, including Executive Secretary and Session Chair. Additionally, she has taught at top Iranian universities and delivered specialized workshops. Her hands-on engagement with industry, academia, and research leadership showcases a well-rounded and impactful professional journey in mechanical engineering.
Research Interest🔎
Dr. Somaye Mohammadi’s research interests lie at the intersection of mechanical engineering, signal processing, and artificial intelligence, with a strong focus on vibration and noise analysis, condition monitoring, and intelligent fault diagnostics. Her work addresses real-world challenges in rotating machinery, industrial gearboxes, and vehicle dynamics, aiming to enhance system reliability and operational efficiency. She is particularly interested in applying machine learning and deep learning techniques to predict mechanical failures and monitor the health of complex systems. Her expertise also includes tire/road noise modeling, dynamic balancing, modal analysis, and the design of experiments. By integrating traditional engineering methods with modern AI-driven approaches, Dr. Mohammadi develops innovative diagnostic solutions for use in industries such as oil and gas, petrochemicals, water systems, and transportation. Her interdisciplinary research not only advances theoretical understanding but also has significant practical applications, making her a key contributor to the evolving field of intelligent mechanical systems.
Award and Honor🏆
Dr. Somaye Mohammadi has received numerous awards and honors in recognition of her academic excellence and impactful research. She was awarded the Best Ph.D. Thesis by the Iranian Society of Acoustics and Vibration in 2021 for her groundbreaking work on tire/road noise modeling. Her research papers have been consistently recognized, with two of her articles winning Best Academic Paper Awards in Condition Monitoring at the CMFD conferences in 2023 and 2024. Throughout her academic journey, she has demonstrated outstanding performance, earning first rank in both her Ph.D. and M.Sc. programs and second rank in her undergraduate studies. She was also admitted to both her master’s and doctoral programs without entrance exams under Iran’s elite talent quotas. Additionally, she received the prestigious National Elite Foundation Scholarship for three consecutive years. These honors reflect her dedication, intellectual capabilities, and significant contributions to the field of mechanical engineering and applied diagnostics.
Research Skill🔬
Dr. Somaye Mohammadi possesses a diverse and advanced set of research skills that span both theoretical and applied aspects of mechanical engineering. Her core expertise includes engineering acoustics, industrial vibrations, condition monitoring, and dynamic system modeling. She is proficient in utilizing statistical analysis, design of experiments, and optimization techniques to solve complex engineering problems. Dr. Mohammadi has a strong command of artificial intelligence and machine learning tools, which she effectively applies in predictive maintenance, fault diagnostics, and noise reduction studies. Her skills extend to deep learning, signal processing, and modal analysis, enabling her to develop intelligent systems for health monitoring of machinery and rotating equipment. Additionally, she is experienced in using advanced engineering software such as MATLAB/Simulink, Python, ANSYS, ADAMS, LMS Virtual.Lab, and Design-Expert. This comprehensive skill set allows her to integrate traditional mechanical principles with modern computational techniques, making her a highly capable and innovative researcher in her field.
Conclusion💡
In conclusion, Dr. Somaye Mohammadi is a distinguished researcher and academic whose work bridges the gap between theoretical research and industrial application in mechanical engineering. With a strong foundation in acoustics, vibrations, and intelligent diagnostics, she has made significant contributions to the development of predictive maintenance systems and noise reduction technologies. Her excellence is reflected in numerous high-impact publications, multiple best paper awards, and recognition for her Ph.D. thesis. Dr. Mohammadi’s ability to lead interdisciplinary projects, collaborate with industry, and engage in high-level academic and organizational roles demonstrates her well-rounded expertise and dedication. Her proficiency in advanced analytical tools and AI-based methods enhances her capacity to innovate and solve real-world engineering challenges. As a top-ranked student, award-winning researcher, and active educator, she exemplifies the qualities of a leading academic in her field. Dr. Mohammadi is undoubtedly a strong candidate for the Best Researcher Award, with a promising trajectory of continued impact and excellence.
Publications Top Noted✍
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Title: How local slopes stabilize passive bipedal locomotion
Authors: AT Safa, S Mohammadi, SE Hajmiri, M Naraghi, A Alasty
Year: 2016
Citations: 29
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Title: A novel approach to design quiet tires, based on multi-objective minimization of generated noise
Authors: S Mohammadi, A Ohadi
Year: 2021
Citations: 28
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Title: Stability improvement of a dynamic walking system via reversible switching surfaces
Authors: AT Safa, S Mohammadi, M Naraghi, A Alasty
Year: 2018
Citations: 13
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Title: A comprehensive study on statistical prediction and reduction of tire/road noise
Authors: S Mohammadi, A Ohadi, M Irannejad-Parizi
Year: 2022
Citations: 8
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Title: Introducing a procedure for predicting and reducing tire/road noise using a fast-computing hybrid model
Authors: S Mohammadi, A Ohadi
Year: 2022
Citations: 8
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Title: Effect of modeling sidewalls on tire vibration and noise
Authors: S Mohammadi, A Ohadi
Year: 2022
Citations: 4
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Title: Multi-objective optimization of counterweights: a substitute for the balance shaft or mass unbalancing in three-cylinder engines
Authors: S Mohammadi, A Ohadi, R Keshavarz
Year: 2018
Citations: 3