Abdelsalam Ahmed | Engineering | Best Paper Award

Published on by Best Paper Awards

Best Paper Award

Abdelsalam Ahmed
Affiliation Tanta University
Country Egypt
Scopus ID 56311161000
Documents 41
Citations 1,115
h-index 13
Subject Area Engineering
Event International Research Excellence and Best Paper Awards
ORCID 0000-0002-0854-4411

Abdelsalam Ahmed

Abdelsalam Ahmed of the Faculty of Engineering, Tanta University, Egypt, is recognized with the Best Paper Award for research in Engineering. His recognized paper,”Integration and Validation of an Embedded Electric Drive System for EV Conversion Kits: A Practical Industrial Case Study“focuses on the integration and validation of embedded electric-drive technology for electric vehicle conversion applications. His broader research activities include electric vehicles, hybrid electric vehicles, electrical drive systems, power electronics, advanced control, and energy-storage technologies.

Abstract

This article recognizes Abdelsalam Ahmed with the Best Paper Award for research in Engineering. His recognized work,“Integration and Validation of an Embedded Electric Drive System for EV Conversion Kits: A Practical Industrial Case Study”,addresses the engineering integration and validation of an embedded electric-drive system for electric vehicle conversion applications.The research is situated within the broader field of electric vehicle propulsion, where successful vehicle electrification requires coordination among electric machines, power-electronic converters, embedded control, energy storage, and vehicle-level operation.Ahmed’s related research includes electric vehicle drive systems and advanced control methods.  [1].

Keywords

Best Paper Award, Abdelsalam Ahmed, Engineering, Electric Vehicles, EV Conversion Kits, Embedded Electric Drive, Electric Drive Systems, EV Powertrain, Electric Motors, Power Electronics, Motor Control, Vehicle Electrification, Hybrid Electric Vehicles, Electrical Machines, Model Predictive Control, Energy Storage, Battery Systems, Vehicle Validation, EV Technology, Sustainable Mobility.

Introduction

Electric vehicle conversion is an important engineering pathway for applying electric propulsion technologies to existing vehicle platforms. The conversion process requires coordinated design and integration of electric machines, batteries, power converters, embedded controllers, protection systems, and vehicle interfaces. Ahmed’s published research includes work on predictive control for induction-motor drives.  [1].

Research Profile

Abdelsalam A. Ahmed is associated with the Electrical Power and Machines Engineering Department, Faculty of Engineering, Tanta University, Tanta, Egypt. Bibliographic records for his research identify work in electrical drives, model predictive control, induction-motor control, and related engineering applications [1][2]. His research profile is connected with the development and control of electrical-drive systems, with particular relevance to electric mobility, motor control, power electronics, and advanced control strategies.  [1].

Research Contributions

The recognized work contributes to the engineering development of EV conversion systems by focusing on the integration and validation of an embedded electric-drive architecture. Such systems require coordinated operation of the electric machine, drive electronics, embedded controller, energy source, and vehicle platform. Ahmed’s related publication on model predictive control demonstrates research experience in advanced control of induction-motor drives.  [1].

Publications

The supplied bibliometric record indicates 41 documents indexed under the specified Scopus author profile. The supplied profile also records 1,115 citations and an h-index of 13. A complete publication-level assessment would require examination of the individual Scopus records, including publication titles, abstracts, journals, co-authorship, citation relationships, and research topics. [1].

Research Impact

The supplied award information records 41 documents, 1,115 citations, and an h-index of 13. These values represent the bibliometric snapshot supplied for this award profile and should be understood as profile-level metrics that may change over time.His documented research on model predictive control contributes to the broader engineering literature on high-performance electrical drives. [1].

Award Recognition

Abdelsalam Ahmed is recognized with the Best Paper Award in Engineering for the research contribution represented by “Integration and Validation of an Embedded Electric Drive System for EV Conversion Kits: A Practical Industrial Case Study.”The award profile highlights the relevance of embedded electric-drive integration to vehicle electrification and EV conversion. Ahmed’s documented publication record also includes research on model predictive control and induction-motor drives, providing additional context for his work in electrical-drive engineering [1].

Conclusion

Abdelsalam Ahmed of the Faculty of Engineering, Tanta University, Egypt, is recognized with the Best Paper Award for research in Engineering. His recognized paper focuses on the integration and validation of an embedded electric-drive system for EV conversion-kit applications. His documented research includes electrical-drive control and model predictive control for induction-motor systems, while the supplied award profile identifies broader interests in electric vehicles, hybrid electric vehicles, power electronics, and energy-storage technologies.

External Links

References

  1. Ahmed, A. A., Koh, B. K., & Lee, Y. I. (2018).A comparison of finite control set and continuous control set model predictive control schemes for speed control of induction motors.IEEE Transactions on Industrial Informatics, 14(4), 1334–1346.
    DOI::https://doi.org/10.1109/TII.2017.2758393
  2. ORCID. (n.d.).ORCID record: Abdelsalam A. Ahmed.
    ORCID.https://orcid.org/0000-0002-0854-4411
  3. Elsevier. (n.d.).Scopus author details: Abdelsalam Ahmed, Author ID 56311161000.
    Scopus.https://www.scopus.com/authid/detail.uri?authorId=56311161000
  4. Best Paper Awards. (n.d.).International Research Excellence and Best Paper Awards.
    https://bestpaperawards.com/
  5. Seoul National University of Science and Technology. (n.d.).A comparison of finite control set and continuous control set model predictive control schemes for speed control of induction motors.Research Portal
    .https://pure.seoultech.ac.kr/en/publications/a-comparison-of-finite-control-set-and-continuous-control-set-mod/

Huimin Wang | Engineering | Best Paper Award

Published on by Best Paper Awards

Best Paper Award

Huimin Wang
Affiliation Southwest Jiaotong University
Country China
Documents 62
Citations 1,567
h-index 22
Subject Area Engineering
Event Best Paper Awards

Huimin Wang

Southwest Jiaotong University, China, is recognized for significant contributions in engineering research and electrical machine systems. This article highlights the academic profile, research influence, and award recognition of Huimin Wang, focusing on the paper titled Guest Editorial: Reliability Oriented Electrical Machine Systems: Topology, Design, Monitoring, Diagnostic Techniques, and Control.

Abstract

This article recognizes Huimin Wang for receiving the Best Paper Award and highlights the importance of the publication focused on reliability-oriented electrical machine systems. The research explores topology design, monitoring systems, diagnostic methods, and advanced control strategies to improve system reliability, efficiency, and performance in engineering applications.

Keywords

Electrical Machine Systems, Reliability Engineering, System Design, Monitoring, Diagnostics, Control Systems, Engineering Innovation.

Introduction

Electrical machine systems play a vital role in modern engineering applications, requiring high reliability and efficiency. Advances in system topology, monitoring techniques, and intelligent control methods contribute significantly to improving system performance and operational safety.

Research Profile

Huimin Wang has authored 62 academic publications with 1,567 citations and an h-index of 22. The research demonstrates consistent contributions in engineering, particularly in electrical machine systems, diagnostics, and system reliability.

Research Contributions

The awarded paper emphasizes reliability-focused design and advanced diagnostic strategies in electrical machine systems. It integrates monitoring techniques and control mechanisms to enhance operational stability and long-term system efficiency in engineering applications.

Research Impact

The research has contributed to advancements in engineering systems by improving reliability and performance standards. Citation metrics indicate growing recognition within the scientific and engineering community, supporting further research and innovation.

Award Suitability

The Best Paper Award recognizes outstanding research contributions demonstrating innovation, technical excellence, and practical impact. This work aligns with these criteria by presenting advanced methodologies for reliable electrical machine system design and control.

Conclusion

Huimin Wang’s research contributes significantly to the field of engineering by advancing reliable electrical machine systems. The awarded publication reflects innovation, technical expertise, and strong academic impact within the global research community.

References

  1. Sliding-mode observer-based speed-sensorless vector control of linear induction motor with a parallel secondary resistance online identification.
    https://digital-library.theiet.org/doi/10.1049/iet-epa.2018.0049
  2. Google Scholar. (n.d.). Huimin Wang research profile. Retrieved from https://scholar.google.com

External Links

1.Best Paper Awards Official Website
2.Google Scholar

Priscilla Nelson | Engineering | Best Paper Award

Published on by Best Paper Awards

Best Paper Award

The Body Underground: A Biological Framework for Infrastructure Health, Regulation and Resilience
Priscilla Nelson
Affiliation Colorado School of Mines
Country United States
Article Title The Body Underground: A Biological Framework for Infrastructure Health, Regulation and Resilience
Scopus ID 7402246675
Article Type Research Article
Article Views 673
Reference Count 24
Award Category Best Paper Award
Event International Research Excellence and Best Paper Awards
Google Scholar 3hezpIkAAAAJ&hl

The Best Paper Award recognizes scholarly contributions that advance disciplinary knowledge through originality, methodological rigor, and measurable academic impact. This recognition highlights the work of Priscilla Nelson of the Colorado School of Mines for her article, The Body Underground: A Biological Framework for Infrastructure Health, Regulation and Resilience. Published in MDPI in 2026, the study explores infrastructure systems through a biologically inspired framework that integrates resilience, regulation, and long-term performance evaluation, contributing to contemporary engineering research and interdisciplinary infrastructure science.[1]

Abstract

This award-recognized article presents an interdisciplinary framework that interprets infrastructure systems through biological principles of health, adaptation, regulation, and resilience. The study examines how engineering networks can be assessed similarly to living systems, emphasizing continuous monitoring, response mechanisms, and long-term sustainability. By integrating concepts from biology, systems engineering, and resilience science, the research offers a novel perspective on infrastructure management. The framework supports improved understanding of infrastructure behavior under stress and changing environmental conditions while encouraging proactive maintenance and adaptive governance strategies. The work contributes to emerging discussions surrounding resilient infrastructure planning and engineering innovation.[2]

Keywords

Infrastructure Health; Urban Systems; Community Resilience; Underground Systems.

Introduction

Modern infrastructure systems face increasing demands arising from urbanization, environmental variability, aging assets, and technological complexity. Traditional engineering approaches often evaluate infrastructure through isolated performance metrics, whereas contemporary resilience research emphasizes interconnected and adaptive system behavior. The article investigates how biological concepts can provide a useful analogy for understanding infrastructure health and long-term functionality, creating a foundation for more integrated approaches to engineering management and policy development.[2]

Research Profile

Priscilla Nelson is an engineering scholar associated with the Colorado School of Mines whose research interests encompass infrastructure systems, resilience engineering, sustainability, and interdisciplinary approaches to complex societal challenges. With a Scopus Author ID of 7402246675, 63 indexed documents, 793 citations, and an h-index of 12, her scholarly record reflects substantial engagement with infrastructure-related research and engineering innovation across multiple domains.[3]

Scientific Background

Biological systems maintain functionality through regulation, adaptation, feedback mechanisms, and recovery processes. Infrastructure networks similarly require monitoring, maintenance, and adaptive responses to disturbances. Previous resilience research has explored system dynamics and risk management, but fewer studies have directly employed biological frameworks to conceptualize infrastructure health. This article builds upon interdisciplinary scholarship by connecting biological theory with engineering practice, thereby expanding the conceptual tools available for infrastructure assessment and governance.[4]

Methodology

The study employs a conceptual and analytical methodology that synthesizes biological principles with engineering resilience literature. Through comparative examination of living organisms and infrastructure systems, the research identifies common characteristics related to health assessment, regulation, adaptation, and recovery. The framework is developed through interdisciplinary integration of theoretical sources and engineering perspectives, enabling the formulation of a structured model for interpreting infrastructure performance under changing conditions and external stresses.[2]

Key Findings

The article demonstrates that infrastructure systems can be understood more effectively when viewed as dynamic entities possessing characteristics comparable to biological organisms. The framework highlights the importance of continuous monitoring, adaptive management, and systemic feedback mechanisms. It further suggests that infrastructure resilience depends not only on physical robustness but also on regulatory capacity and organizational adaptability. These findings encourage broader adoption of interdisciplinary approaches within infrastructure planning and engineering decision-making processes.[2]

Scientific Contributions

A significant contribution of the research lies in its development of a biological framework for infrastructure health that bridges conceptual boundaries between engineering and life sciences. The work advances resilience theory by introducing new interpretative models for infrastructure assessment and management. It also encourages researchers and policymakers to consider infrastructure systems as adaptive networks requiring ongoing regulation, learning, and recovery mechanisms, thereby enriching discussions surrounding sustainable engineering and resilient urban development.[4]

Conclusion

The recognition of this publication through the Best Paper Award reflects its scholarly value and interdisciplinary significance within engineering research. By integrating biological concepts into infrastructure science, the article provides a distinctive framework for understanding resilience, health, and long-term system sustainability. Its conceptual contributions support future research, policy discussions, and practical applications aimed at enhancing infrastructure performance in increasingly complex and uncertain environments.[1]

References

  1. MDPI. (2026). The Body Underground: A Biological Framework for Infrastructure Health, Regulation and Resilience.
    https://doi.org/10.3390/urbansci10040201
  2. MDPI. (2026). Buildings Journal: Urban Science.
    https://www.mdpi.com/journal/urbansci
  3. Elsevier. (n.d.). Scopus author details: Priscilla Nelson, Author ID 7402246675. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=7402246675
  4. Wiley Online Library. (2025). Beyond Equations: From Models to Materials to Society: Reframing the Future of Underground Engineering.
    https://doi.org/10.1002/jci3.70012
  5. Google Scholar. (n.d.). Scholar profile and citation metrics for Priscilla Nelson.
    https://scholar.google.com/citations?user=3hezpIkAAAAJ&hl=en

Rongyan Xi | Engineering | Best Researcher Award

Published on by Best Paper Awards

Dr. Rongyan Xi | Engineering | Best Researcher Award 

Doctor | China Mobile Research Institute | China

Rongyan Xi is an accomplished researcher in the field of communication and electronic engineering with a strong academic background and impactful scientific contributions, making her a highly suitable candidate for the Best Researcher Award. She obtained her B.S. degree in Communication Engineering from Shandong University in 2017 and completed her Ph.D. in Electronic Engineering from Tsinghua University in 2023, one of China’s most prestigious institutions. Currently, she is affiliated with the Future Research Lab at China Mobile Research Institute, where she focuses on cutting-edge areas such as 6G, integrated sensing and communication (ISAC), MIMO, advanced signal processing, target detection, positioning, and system design. Her research work demonstrates both depth and practical relevance to the next generation of wireless technologies. Rongyan Xi has contributed to several high-impact publications in leading journals including the IEEE Journal on Selected Areas in Communications, IEEE Internet of Things Journal, IEEE Sensors Journal, and Sensors. Her works cover critical topics like cooperative sensing for 6G networks, system design, beam management, target recognition using millimeter-wave sensing, and performance evaluation frameworks such as SensCAP. Her active role in collaborative research projects and contributions to addressing key challenges in ISAC and radar technology reflect her innovative mindset and technical leadership. With publications in top-tier journals and involvement in field trials, she has established herself as a rising leader in the wireless communication research community. Her academic excellence, technological innovation, and industry relevance collectively demonstrate her exceptional potential and make her an outstanding candidate for the Best Researcher Award.

Profiles: Google Scholar | ORCID

Featured Publications

  1. Liu, G., Xi, R., Wang, X., Han, L., Gui, X., Jin, J., Dong, J., Wei, N., He, H., Xia, L., et al. (2025). Cooperative sensing for ISAC: Challenges, system design, beam management, and performance validation. IEEE Journal on Selected Areas in Communications.

  2. He, X., Ding, H., Xi, R., Dong, J., Jin, J., Wang, Q., Shao, C., Dong, X., & Zhang, Y. (2025, September 12). Target recognition based on millimeter-wave-sensed point cloud using PointNet++ model. Sensors.

  3. Liu, G., Xi, R., Han, Z., Han, L., Zhang, X., Ma, L., Wang, Y., Lou, M., Jin, J., Wang, Q., et al. (2024). Cooperative sensing for 6G mobile cellular networks: Feasibility, performance and field trial. IEEE Journal on Selected Areas in Communications.

  4. Liu, G., Ma, L., Xue, Y., Han, L., Xi, R., Han, Z., Wang, H., Dong, J., Lou, M., Jin, J., et al. (2024). SensCAP: A systematic sensing capability performance metric for 6G ISAC. IEEE Internet of Things Journal.

  5. Xi, R., Ma, D., Liu, X., Wang, L., & Liu, Y. (2022, October). Intra-pulse frequency coding design for a high-resolution radar against smart noise jamming. Remote Sensing.