Tag: Electrical Innovation Award

Indrani Ray | Electrical Engineering | Best Researcher Award

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Dr. Indrani Ray | Electrical Engineering | Best Researcher Award

IIT Kharagpur, India

Dr. Indrani Ray is a dedicated researcher and academician specializing in Electronics and Communication Engineering, with a strong focus on optical communication systems, modulation techniques, and photonic circuit design. She earned her B.Tech degree in Electronics and Communication Engineering from Bengal College of Engineering and Technology, Durgapur, in 2005, followed by an M.Tech from the National Institute of Technology, Durgapur, in 2008. She later pursued her Ph.D. at the University of Huddersfield, United Kingdom, where her doctoral thesis titled “Analysis of Offset Pulse Position Modulation” under the supervision of Dr. Martin Sibley made significant contributions to enhancing the efficiency and performance of optical modulation schemes for high-speed data communication. Professionally, Dr. Ray has accumulated valuable academic and research experience, having served as an Assistant Professor at Techno India University, Salt Lake, and later as a Senior Research Fellow and currently as a Women Scientist-A at the Indian Institute of Technology (IIT) Kharagpur. Her research interests encompass optical and wireless communication, circuit theory, antenna design, and signal processing, with an emphasis on developing innovative transceiver systems and improving the reliability of data transmission in optical channels. She possesses strong research skills in circuit design, spectral characterization, electromagnetic analysis, and system performance evaluation, supported by expertise in simulation tools and advanced analytical modeling. Dr. Ray has published four peer-reviewed journal articles in reputed SCI-indexed journals, including IET Optoelectronics and Journal of Lightwave Technology, reflecting her growing academic influence with eight citations and an h-index of two. She is a recipient of the prestigious Grand Challenge Engineering Scholarship awarded by the Royal Academy of Engineering (UK) in recognition of her academic excellence and research potential. In conclusion, Dr. Indrani Ray stands out as a passionate researcher committed to advancing optical communication technologies and bridging the gap between theoretical research and practical engineering innovation, contributing meaningfully to scientific progress and global technological development.

Profile: Scopus

Featured Publications

  1. Ray, I., Dadi, K. V. S. S., & Biswas, K. (2025). Design and performance analysis of solid-state fractional capacitor-based trans-receiver system. International Journal of Circuit Theory and Applications.

  2. Ray, I., Sibley, M. J. N., & Mather, P. J. (2015). Spectral characterization of offset pulse position modulation. IET Optoelectronics, 9, 300–306.

  3. Ray, I., Sibley, M. J. N., & Mather, P. J. (2012). Performance analysis of offset pulse position modulation over optical channel. Journal of Lightwave Technology, 30, 325–330.

  4. Ray, I., Khan, M., Mondal, D., & Bhattacharjee, A. K. (2008). Effect on resonant frequency for E-plane mutually coupled microstrip antennas. Progress in Electromagnetics Research Letters, 3, 133–140.

  5. Khan, M., Ray, I., Mandal, D., & Bhattacharjee, A. K. (2008). Comparative study of the resonant frequency of E-plane and H-plane coupled microstrip patch antennas. Progress in Electromagnetics Research C, 1, 241–249.

Dr. Indrani Ray’s work advances the field of optical and wireless communication by developing efficient modulation and transceiver systems that enhance data transmission reliability and speed. Her research contributes to the evolution of next-generation communication technologies, driving innovation in science and industry while supporting global connectivity and digital transformation.

 

Mohammad Maalandish | Power Electronics | Best Researcher Award

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Dr. Mohammad Maalandish | Power Electronics | Best Researcher Award

Assistant Professor from Gdansk University of Technoloy, Iran

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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

Shaoqi Wang | High voltage | Best Researcher Award

Published on by World Science Awards

Dr. Shaoqi Wang | High voltage | Best Researcher Award

Student at High Voltage Division School of Electrical Engineering Xian Jiaotong University, China

Dr. Shaoqi Wang is a Ph.D. candidate in Electrical Engineering at Xi’an Jiaotong University, with a focus on high-voltage technology and transformer insulation systems. Her research spans areas of electrical insulation, moisture dynamics in transformers, and energy conversion. With a strong foundation in electrical engineering and power engineering, Dr. Wang has contributed significantly to understanding the interactions between temperature, moisture, and electrical fields in transformers. Her work is highly recognized in the field of dielectric insulation, with multiple publications in top-tier SCI journals. Dr. Wang is involved in national projects on transformer optimization and energy efficiency, collaborating with leading researchers and contributing to cutting-edge advancements in electrical power systems. Her interdisciplinary research combines simulation and experimental methods, making her an expert in both theoretical and applied aspects of electrical insulation and power generation.

Professional Profile

Education

Dr. Shaoqi Wang is currently pursuing her Ph.D. in Electrical Engineering at Xi’an Jiaotong University, focusing on high-voltage transformer technology under the guidance of Professor Qiaogen Zhang. She began her academic journey at Xi’an Jiaotong University, where she obtained her Master’s degree in Power Engineering and Engineering Thermophysics in 2020. Prior to that, she earned a Bachelor’s degree in Electrical Engineering and Automation from Xi’an University of Posts and Telecommunications in 2017. Throughout her academic career, Dr. Wang has demonstrated exceptional ability in combining theoretical research with practical applications, making significant contributions to high-voltage electrical insulation and transformer dynamics.

Professional Experience

Dr. Wang has been actively involved in several high-profile national research projects, including those funded by the State Grid and the National Key R&D Program. Her work on the design and development of solid-state insulation transformers and digital twin technology for smart transformers has been instrumental in advancing electrical power systems. She has also contributed to projects focusing on moisture dynamics in transformers, leading to the development of models predicting water distribution and accumulation in transformer oil. As part of her doctoral research, Dr. Wang has also worked on vibration-induced bubble formation in oil-filled transformers, using advanced simulation techniques to study multi-physical field interactions.

Research Interest

Dr. Shaoqi Wang’s research interests primarily revolve around electrical engineering, with a particular focus on high-voltage technology and transformer insulation systems. She is deeply engaged in studying the moisture dynamics and fluid-thermal interactions within transformer systems, specifically investigating the role of water in transformer oil and its impact on transformer performance and reliability. Dr. Wang also explores the thermal and mechanical behavior of power transformers, including the design and optimization of insulation materials and systems. Her research intersects the fields of electrical engineering, thermophysics, and materials science, and she actively seeks solutions to improve the efficiency, safety, and sustainability of transformer systems in high-voltage applications.

Research Skills

Dr. Wang possesses a comprehensive set of research skills in both experimental and simulation-based techniques. She is proficient in using advanced simulation software such as Fluent, Maxwell, and Ansys for multi-physical field coupling, including fluid dynamics, electromagnetics, and structural analysis. Dr. Wang also has extensive experience with molecular simulation tools like Gaussian and ADF for investigating material properties at the nanoscale. Her experimental expertise includes the use of various instruments such as time-resolved infrared spectroscopy, scanning electron microscopy (SEM), and X-ray diffraction (XRD). Her ability to integrate computational models with experimental data has been key to her success in understanding complex transformer behaviors.

Awards and Honors

Dr. Wang has earned several prestigious awards and honors in recognition of her academic and research achievements. Notably, she received the Best Paper Award for her student-first-authored work in Energy Storage and Saving in 2023. She has also been a recipient of multiple scholarships, including the university’s top academic scholarship in 2022 and 2023. Additionally, she has received the first-class scholarship from her faculty in 2015 and 2016, underscoring her consistent academic excellence. Dr. Wang’s achievements highlight her outstanding contribution to electrical engineering research, particularly in transformer technology, and her recognition in both national and international academic circles.

Conclusion:

Dr. Shaoqi Wang is an exceptional candidate for the Best Researcher Award due to her outstanding academic record, influential research contributions, and technical expertise. She has shown remarkable leadership in her field and has produced research with practical applications in high-voltage transformer design and energy systems. With further international collaboration and industry engagement, Dr. Wang is poised to make even more significant contributions to her field. Overall, her achievements make her a highly deserving candidate for this prestigious recognition.

Publications Top Notes

  1. Bubble Migration and Accumulation in Oil-paper Insulation: Modeling of Coalescence-induced Size Evolution
    • Journal: IEEE Transactions on Dielectrics and Electrical Insulation
    • Year: 2024
    • DOI: 10.1109/TDEI.2024.3407730
    • Contributors: Yuhan Sun, Qiaogen Zhang, Zhicheng Wu, Jiajie Song, Shitianyi Tan, Shaoqi Wang
  2. Nanoscale Insights into Insulating Oil Emulsification: Dynamic Interplay of Temperature and Water Dynamics
    • Journal: IEEE Transactions on Dielectrics and Electrical Insulation
    • Year: 2024
    • DOI: 10.1109/TDEI.2024.3427052
    • Contributors: Shaoqi Wang, Qiaogen Zhang, Zhicheng Wu, Yuhan Sun, Xiaoang Li
  3. Nanoscale Investigation of Water Dynamics in Transformer Insulating Oil: Mechanisms of Droplet Nucleation and Growth
    • Journal: IEEE Transactions on Dielectrics and Electrical Insulation
    • Year: 2024
    • DOI: 10.1109/TDEI.2024.3413726
    • Contributors: Shaoqi W
  4. Bubble Migration and Accumulation in Oil-Paper Insulation: Interfacial Forces Modeling
    • Journal: IEEE Transactions on Dielectrics and Electrical Insulation
    • Year: 2024
    • DOI: https://doi.2024.3356447
    • Contributors: Yuhan Sun, Qiaogen Zhang, Zhicheng Wu, Chong Guo, Shaoqi Wang, Shitianyi Tan
  5. Moisture Dynamics During High-Load Fluctuations in Transformers: Localised Accumulation and Interfacial Transfer Within Oil/Pressboard Insulation
    • Journal: High Voltage
    • Year: 2024 (October 25)
    • DOI: 10.1049/hve2.12486
    • Contributors: Shaoqi Wang, Qiaogen Zhang, Chong Guo, Yuhan Sun, Zhicheng Wu
  6. Thermal Distribution Characteristics Related to the Transformer Fine Structure Predicted by CFD-Based Spline Interpolation
    • Journal: IEEE
    • Year: 2023 (April)
    • DOI: 10.1109/TDEI.2022.3233340
    • Contributors: Shaoqi Wang, Xiaoang Li, Rui Zhang, Zhiyuan Sha, Zhicheng Wu, Qiaogen Zhang