Mohammad Maalandish is an emerging researcher in the field of power electronics, currently pursuing a Ph.D. at the University of Tabriz, Iran. With a focused and impactful academic trajectory, he has contributed significantly to the advancement of energy conversion systems, particularly in designing and controlling high-performance DC-DC and DC-AC power converters. Born in 1990 in Marand, Iran, he completed his B.Sc. in Electrical Engineering from Azarbaijan Shahid Madani University and his M.Sc. in Power Electronics from the University of Tabriz. Mohammad has published over 40 journal and conference papers, many of which appear in high-ranking international journals. His work has been recognized nationally and internationally through prestigious awards and inclusion in Stanford’s World’s Top 2% Scientists list for several consecutive years. Apart from research, he is actively involved in teaching and laboratory activities, demonstrating a commitment to academic mentorship. His international exposure through a research visit to Aarhus University in Denmark further strengthens his global research outlook. Equipped with a range of technical skills and a collaborative mindset, Mohammad exemplifies a new generation of dedicated scholars whose contributions are shaping the future of energy systems and electronic applications.
Professional Profile
Education
Mohammad Maalandish’s educational background demonstrates a strong and focused progression in the field of electrical and power engineering. He began his academic journey at Azarbaijan Shahid Madani University in Tabriz, Iran, where he earned his B.Sc. in Electrical Engineering in 2013. Motivated to specialize further, he pursued his M.Sc. in Power Electronics at the University of Tabriz, completing it in 2016. His postgraduate studies centered on advanced topics in power electronics, laying a solid foundation for research in power conversion and control systems. Currently, he is a Ph.D. candidate at the Faculty of Electrical and Computer Engineering, Power Engineering Department at the University of Tabriz. His doctoral research continues to explore complex areas such as multi-input multi-output (MIMO) converters and model predictive control (MPC) for electric vehicle and renewable energy applications. The continuity and depth of his education reflect a well-planned academic pathway, reinforced by a strong theoretical and practical understanding of electrical engineering principles. His education has been instrumental in enabling him to conduct high-level research and publish extensively in reputable international journals, making him a valuable contributor to the global scientific community.
Professional Experience
Mohammad Maalandish’s professional experience encompasses a combination of academic, research, and technical roles that enhance his profile as a well-rounded researcher. Since 2014, he has been affiliated with the University of Tabriz in various capacities. He served as a teaching assistant from 2014 to 2016 and again from 2018 to 2024, supporting instruction in power electronics and electrical engineering fundamentals. He also worked as a laboratory assistant at the Power Electronics Laboratory from 2019 to 2024, actively contributing to experimental research and mentoring undergraduate and graduate students. Notably, Mohammad expanded his academic exposure internationally through a research visiting position at Aarhus University in Denmark between March 2022 and August 2023. This experience allowed him to collaborate with European researchers and contribute to international projects. He has also provided consulting services as a senior advisor at VIET Company, demonstrating an ability to bridge academic knowledge with industry applications. Through these roles, he has acquired valuable experience in teaching, research supervision, and applied engineering, which collectively support his academic growth and research productivity.
Research Interest
Mohammad Maalandish’s research interests are deeply rooted in modern power electronics and its applications in renewable energy and electric transportation. His work primarily focuses on the development and optimization of power conversion systems, including DC-DC and DC-AC converters. He is particularly interested in designing high step-up converters with advanced control strategies to enhance efficiency and stability. Another key area of his research is Multi-Input Multi-Output (MIMO) converter architecture, which offers improved flexibility and control for complex energy systems. His investigations also extend to Model Predictive Control (MPC), a robust technique for controlling converters in real-time applications, especially in electric vehicle power systems. Additionally, he explores methods for eliminating leakage current in converter systems to ensure operational safety and efficiency. Renewable energy integration, especially through innovative converter topologies, is another cornerstone of his research. His contributions are aimed at improving power density, minimizing losses, and promoting sustainable energy solutions. By addressing both theoretical and applied aspects, his research is well-positioned to make a meaningful impact on the fields of energy conversion and smart grid technologies.
Research Skills
Mohammad Maalandish possesses a wide array of research and technical skills that equip him to tackle complex problems in electrical and power engineering. He is proficient in simulation and modeling tools such as MATLAB, PSCAD/EMTDC, and PSIM, which are essential for designing and analyzing power electronic systems. His expertise also includes hardware programming and embedded system design using platforms such as Arduino and Code Vision AVR. For circuit design and PCB layout, he is skilled in using Altium Designer. He is capable of conducting both theoretical analysis and experimental validation, having extensive experience in laboratory setups and prototype development. Mohammad’s familiarity with MIMO systems, soft switching techniques, and high step-up converter design demonstrates his capacity to innovate in high-efficiency energy systems. His technical competence is matched by his ability to document and disseminate research through high-impact publications. Furthermore, his experience as a teaching and lab assistant has refined his skills in research mentoring and technical communication. Collectively, his skill set reflects a balanced combination of analytical thinking, hands-on experimentation, and technological fluency essential for advanced research in power electronics.
Awards and Honors
Mohammad Maalandish has received multiple awards and distinctions that reflect his exceptional performance and recognition in the academic and scientific communities. From 2018 to 2021, he was consecutively awarded the Research Prize by the National Elites Foundation of Iran for being a top student. In 2022 and 2023, he was honored as the top student at the University of Tabriz, further underscoring his consistent academic excellence. A particularly prestigious recognition came in the form of the Alborz Prize in 2022, awarded to national top students in Iran. Perhaps most notably, he has been listed among the World’s Top 2% Scientists by Stanford University and Elsevier from 2021 to 2024. This global distinction highlights the impact and citation strength of his scientific work on an international scale. These accolades not only affirm his research capabilities but also demonstrate his dedication to scholarly excellence. They position him as a leader among early-career researchers in the field of electrical and power engineering. These repeated and diverse recognitions are a testament to his sustained contribution and future potential in academia.
Conclusion
In conclusion, Mohammad Maalandish stands out as a highly promising researcher with an exceptional record of academic achievement and scientific contribution. His focused research in power electronics addresses critical global needs in energy conversion and renewable integration. With over 40 publications in top-tier journals and conferences, multiple national and international honors, and hands-on technical expertise, he exemplifies the qualities of a next-generation leader in engineering research. His educational and professional background, combined with international research exposure and active academic involvement, reflect a well-rounded and impactful profile. His ability to bridge theory with practical application, particularly in converter design and electric vehicle systems, places him at the forefront of innovation in the power electronics domain. Recognitions such as the Alborz Prize and his inclusion in the World’s Top 2% Scientists affirm both the quality and impact of his work. With continued emphasis on research leadership, interdisciplinary collaboration, and broader industrial engagement, Mohammad is well-positioned to contribute significantly to both academic and practical advancements in his field. He is a worthy candidate for the Best Researcher Award and an asset to the scientific community.
Publications Top Notes
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Robust optical-levitation-based metrology of nanoparticle’s position and mass
Authors: Y. Zheng, L.M. Zhou, Y. Dong, C.W. Qiu, X.D. Chen, G.C. Guo, F.W. Sun
Journal: Physical Review Letters, 124(22), 223603
Year: 2020
Citations: 83
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Non-Markovianity-assisted high-fidelity Deutsch–Jozsa algorithm in diamond
Authors: Y. Dong, Y. Zheng, S. Li, C.C. Li, X.D. Chen, G.C. Guo, F.W. Sun
Journal: npj Quantum Information, 4(1), 3
Year: 2018
Citations: 59
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Coherent dynamics of multi-spin V center in hexagonal boron nitride
Authors: W. Liu, V. Ivády, Z.P. Li, Y.Z. Yang, S. Yu, Y. Meng, Z.A. Wang, N.J. Guo, F.F. Yan, …
Journal: Nature Communications, 13(1), 5713
Year: 2022
Citations: 55
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Temperature dependent energy gap shifts of single color center in diamond based on modified Varshni equation
Authors: C.C. Li, M. Gong, X.D. Chen, S. Li, B.W. Zhao, Y. Dong, G.C. Guo, F.W. Sun
Journal: Diamond and Related Materials, 74, 119–124
Year: 2017
Citations: 53
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A robust fiber-based quantum thermometer coupled with nitrogen-vacancy centers
Authors: S.C. Zhang, Y. Dong, B. Du, H.B. Lin, S. Li, W. Zhu, G.Z. Wang, X.D. Chen, …
Journal: Review of Scientific Instruments, 92(4)
Year: 2021
Citations: 44
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Near-infrared-enhanced charge-state conversion for low-power optical nanoscopy with nitrogen-vacancy centers in diamond
Authors: X.D. Chen, S. Li, A. Shen, Y. Dong, C.H. Dong, G.C. Guo, F.W. Sun
Journal: Physical Review Applied, 7(1), 014008
Year: 2017
Citations: 35
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Quantum imaging of the reconfigurable VO₂ synaptic electronics for neuromorphic computing
Authors: C. Feng, B.W. Li, Y. Dong, X.D. Chen, Y. Zheng, Z.H. Wang, H.B. Lin, W. Jiang, …
Journal: Science Advances, 9(40), eadg9376
Year: 2023
Citations: 28
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Focusing the electromagnetic field to 10⁻⁶λ for ultra-high enhancement of field-matter interaction
Authors: X.D. Chen, E.H. Wang, L.K. Shan, C. Feng, Y. Zheng, Y. Dong, G.C. Guo, …
Journal: Nature Communications, 12(1), 6389
Year: 2021
Citations: 28
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Quantum enhanced radio detection and ranging with solid spins
Authors: X.D. Chen, E.H. Wang, L.K. Shan, S.C. Zhang, C. Feng, Y. Zheng, Y. Dong, …
Journal: Nature Communications, 14(1), 1288
Year: 2023
Citations: 27
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Experimental implementation of universal holonomic quantum computation on solid-state spins with optimal control
Authors: Y. Dong, S.C. Zhang, Y. Zheng, H.B. Lin, L.K. Shan, X.D. Chen, W. Zhu, …
Journal: Physical Review Applied, 16(2), 024060
Year: 2021
Citations: 26