Md Moinul Alom Shovon | Electric Vehicles & Charging Infrastructure | Innovative Research Award

Published on by Electrical Engineering

Innovative Research Award

Md Moinul Alom Shovon
Affiliation Green University of Bangladesh
Country Bangladesh
Google Scholar ID r-QJrPsAAAAJ&hl
Documents 4
Citations 84
h-index 2
Subject Area Electric Vehicles & Charging Infrastructure
Event World Electrical Engineering Awards
ORCID 0000-0001-8930-5633

Md Moinul Alom Shovon

Green University of Bangladesh

Md Moinul Alom Shovon is an emerging researcher whose academic activities primarily focus on electric vehicles, charging infrastructure, sustainable transportation technologies, and intelligent energy systems. His published research contributes to the understanding of modern charging solutions and efficient energy utilization while supporting the transition toward environmentally sustainable transportation. His scholarly profile demonstrates continued engagement with engineering research, interdisciplinary collaboration, and scientific dissemination through indexed publications, making his work relevant to contemporary developments in electrical engineering and smart mobility.[1]

Abstract

Md Moinul Alom Shovon’s research addresses important challenges associated with electric vehicle technology, charging infrastructure, energy efficiency, and sustainable transportation systems. His publications investigate practical engineering solutions that improve charging performance, optimize energy utilization, and encourage environmentally responsible mobility. Through interdisciplinary methodologies, his work integrates electrical engineering concepts with modern transportation technologies to support reliable and scalable infrastructure development. His scholarly contributions, citation record, and engagement with emerging engineering topics demonstrate an active commitment to advancing research that supports cleaner transportation networks, technological innovation, and future-ready electrical engineering applications across both academic and industrial environments.[2]

Keywords

Electric Vehicles, Charging Infrastructure, Smart Mobility, Sustainable Transportation, Electrical Engineering, Energy Systems, Renewable Energy Integration, Battery Technologies.

Introduction

The rapid adoption of electric vehicles has created increasing demand for efficient charging infrastructure, intelligent energy management, and reliable electrical systems. Research in these areas plays a significant role in supporting global sustainability objectives while addressing practical engineering challenges. Md Moinul Alom Shovon’s academic work contributes to this evolving field by examining technologies that improve charging efficiency, infrastructure planning, and system performance through evidence-based engineering research.[3]

Research Profile

Affiliated with Green University of Bangladesh, Md Moinul Alom Shovon has established a developing research profile focused on electric mobility and charging technologies. His scholarly output demonstrates consistent interest in sustainable engineering solutions supported by indexed publications and measurable citation performance. His research activities reflect interdisciplinary collaboration and ongoing engagement with contemporary developments in electrical engineering and transportation innovation.[1]

Research Contributions

His research contributes to understanding charging infrastructure design, energy optimization, electric vehicle integration, and sustainable transportation systems. By investigating practical engineering approaches and evaluating technological performance, his publications support ongoing improvements in charging reliability, infrastructure efficiency, and environmentally responsible transportation solutions. These contributions remain relevant for researchers, policymakers, and engineers seeking effective strategies for expanding electric mobility.[4]

Publications

The researcher’s scholarly portfolio includes peer-reviewed publications addressing electric vehicles, charging infrastructure, sustainable energy utilization, and related engineering topics. These publications demonstrate a balanced emphasis on theoretical understanding and practical engineering applications while contributing to ongoing scientific discussions concerning future transportation technologies and energy-efficient electrical systems. The documented citation record reflects growing academic visibility within the research community.[2]

Research Impact

The measurable citation count and continued scholarly engagement indicate that Md Moinul Alom Shovon’s research has attracted attention from researchers investigating sustainable transportation and electrical engineering. His work supports broader scientific efforts to enhance charging infrastructure, improve energy efficiency, and encourage environmentally sustainable mobility through technically informed engineering solutions supported by published academic evidence.[2]

Award Suitability

Based on his documented research activity, publication record, citation performance, and specialization in electric vehicle charging infrastructure, Md Moinul Alom Shovon demonstrates characteristics aligned with the objectives of the Innovative Research Award presented during the World Electrical Engineering Awards. His work addresses emerging engineering challenges with practical relevance while contributing to sustainable technological advancement through scholarly research and scientific dissemination.[3]

Conclusion

Md Moinul Alom Shovon’s research reflects a growing contribution to electrical engineering through studies focused on electric vehicles, charging infrastructure, and sustainable transportation. His scholarly publications, interdisciplinary perspective, and measurable academic influence support recognition within emerging engineering research communities. Continued investigation in these fields is expected to further strengthen both scientific knowledge and practical technological development.[4]

External Links

References

  1. Google Scholar. (n.d.). Md Moinul Alom Shovon – Google Scholar Citations.
    https://scholar.google.com/citations?user=r-QJrPsAAAAJ&hl=en
  2. Wireless charging for electric vehicles: Navigating environmental trade-offs and infrastructure barriers towards sustainable transportation.
    https://doi.org/10.1016/j.rser.2026.117001
  3. Journal of Cleaner Production. (2025). Unveiling the impacts of climate change on the resilience of renewable energy and power systems: Factors, technological advancements, policies, challenges, and solutions.
    https://doi.org/10.1016/j.jclepro.2025.144933
  4. Energy Conversion and Management: X. (2025). Wireless charging for electric vehicles: A review on environmental, health, technical, and policy landscape.
    https://doi.org/10.1016/j.ecmx.2025.101363
  5. World Electrical Engineering Awards. (n.d.). Award Information.
    https://electricalaward.com/

Shengkun Liao | Robotics & Autonomous Systems | Best Academic Researcher Award

Published on by Electrical Engineering

Mr. Shengkun Liao | Robotics & Autonomous Systems | Best Academic Researcher Award

Shengkun Liao Of Tianjin University of Technology and Education, China

Shengkun Liao is an accomplished graduate student at Tianjin University of Technology and Education, specializing in the development and optimization of intelligent vehicle technologies and new energy vehicle systems. His expertise spans energy recovery systems, vehicle control units, intelligent navigation, and autonomous charging mechanisms. With research published in EI- and JCR-indexed journals, Liao combines technical innovation with practical automotive engineering applications. His work integrates advanced algorithms, Raspberry Pi systems, and ROS frameworks, earning him recognition through multiple awards in national and provincial competitions. He is committed to driving innovation in sustainable and intelligent transportation systems.

Professional Profile

ORCID 

Education

Liao is currently pursuing graduate-level studies at Tianjin University of Technology and Education, where he has built a solid academic foundation in electrical, mechanical, and computational engineering aspects of vehicle systems. His curriculum emphasizes applied engineering design, intelligent control, and algorithm development, enabling him to approach research from both a theoretical and application-oriented perspective. This educational journey has been marked by active participation in advanced coursework, laboratory experimentation, and collaborative projects that align closely with his research in new energy vehicles and intelligent transportation systems.

Experience

In his academic career, Liao has focused on projects that merge cutting-edge computational methods with practical engineering applications. His work includes the optimization of energy recovery systems for battery electric vehicles using intelligent algorithms, and the enhancement of autonomous vehicle charging navigation systems through the integration of the Bidirectional A* Algorithm with the YOLOv11n model. He has also conducted experimental studies on charging and discharging modules for new energy vehicles. These experiences have provided hands-on exposure to system design, algorithm optimization, and interdisciplinary problem-solving, bridging gaps between academic research and industry needs.

Research Focus

Liao’s research is centered on advancing the performance, efficiency, and autonomy of new energy vehicles. His areas of expertise include the development and optimization of energy recovery systems to improve vehicle efficiency, automotive vehicle control unit (VCU) development, and the refinement of intelligent algorithms for navigation and recognition. He also explores the integration of autonomous charging systems with machine vision technologies, leveraging platforms such as Raspberry Pi and ROS for practical implementation. By combining artificial intelligence with robust hardware solutions, his research aims to enable smarter, more efficient, and environmentally sustainable transportation systems.

Awards & Honors

Liao has been recognized for his innovative research and technical achievements through multiple national and provincial awards in engineering and innovation competitions. These honors highlight his ability to design and implement effective engineering solutions that address real-world challenges in the automotive and transportation sectors. His competitive success demonstrates not only technical expertise but also creativity, leadership, and a capacity for translating research into impactful applications. These accolades underscore his standing as a rising figure in the field of intelligent vehicle technology.

Publication Top Notes

Title: Optimization of the Energy Recovery System for Battery Electric Vehicles Based on Intelligent Algorithms
Authors: S Liao
Journal: International Journal of Vehicle Design and Intelligent Systems

Title: Optimization of a Navigation System for Autonomous Charging of Intelligent Vehicles Based on the Bidirectional A* Algorithm and YOLOv11n Model
Authors: S Liao
Journal: Journal of Intelligent Transportation and Automation

Title: Experimental Study on the Charging and Discharging Module of New Energy Vehicles
Authors: S Liao
Journal: Journal of Advanced Automotive Engineering

Conclusion

Through a combination of strong academic preparation, innovative research, and recognized achievements, Liao has established himself as an emerging leader in intelligent transportation and new energy vehicle technology. His work embodies the integration of advanced computational methods, sustainable engineering practices, and practical implementation strategies. By addressing key challenges in vehicle energy efficiency, autonomous navigation, and system optimization, his contributions are paving the way for more efficient, intelligent, and environmentally responsible transportation solutions. His trajectory reflects both technical excellence and a deep commitment to the progress of automotive engineering research.