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

Jianbin Chen | Engineering | Best Researcher Award

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Mr. Jianbin Chen | Engineering | Best Researcher Award

Chief Technology Officer | Guangdong Titans Intelligent Power Company Ltd | China

Mr. Jianbin Chen is a distinguished engineering professional with more than 11 years of expertise in digital signal design, iterative coding, data storage and communication systems, and the integration of power and wireless communication technologies in the Internet of Things (IoT). He currently serves as the Executive Vice President and R&D Director at Guangdong Titan Intelligent Power Co., Ltd., in addition to holding roles as a Senior Engineer, IEEE member, off-campus master’s mentor at Nanchang Institute of Technology, and Visiting Associate Professor at Guangdong Polytechnic of Science and Technology. Mr. Chen earned his bachelor’s degree from North Central University in 2011 and completed his Ph.D. at the University of Macau in 2021. Throughout his career, he has led and executed numerous high-impact projects, including intelligent air conditioning energy control systems, IoT-based smart street lighting systems, and advanced energy consumption control platforms for major infrastructure. He has overseen several provincial and municipal innovation programs, demonstrating strong leadership in research and technology development. Mr. Chen has secured 30 patents and 28 software copyrights, with many of his innovations being successfully commercialized and widely recognized. His outstanding contributions have earned him multiple prestigious honors such as the Zhuhai Talent Program, the Best Software Technology Innovation Product Awards, and national innovation competition prizes. Academically, he has published influential research papers and a book, with his work featured in SCI-indexed journals, covering topics like power electronics, intelligent control systems, and smart cities. His ability to combine advanced research with industrial applications has significantly contributed to the development of smart energy and IoT technologies in China. Mr. Chen’s visionary leadership, technical excellence, and dedication to innovation position him as a key figure in advancing intelligent infrastructure and sustainable technology solutions for the future.

Profile: ORCID
Featured Publications

  1. Chen, J., Yang, C., Zou, J., & Chen, K. (2025). Multiplier operated controller for CCM boost PFC converter with regulated input impedance and improved power factor. IEEE Access. DOI: 10.1109/ACCESS.2025.3548096

  2. Chen, J., Yang, C., & Zou, J. (2025). Optimization control strategy of wide ZVS range and automatic Euler angle for bi-directional wireless power transfer system by TPS. International Journal of Electrical Power & Energy Systems. DOI: 10.1016/j.ijepes.2025.111133

  3. Chen, J., Yang, C., & Zou, J. (2022). Robust enhanced voltage range control for industrial robot chargers. IEEE Access. DOI: 10.1109/ACCESS.2022.3229688

  4. Chen, J., Yang, C., Tang, S., & Zou, J. (2021). A high power interleaved parallel topology full-bridge LLC converter for off-board charger. IEEE Access. DOI: 10.1109/ACCESS.2021.3130051

  5. Chen, J. (2017). SMT物料种类与标准. 电子工业出版社. ISBN: 978-7-121-31740-8

Julio Pino | Engineering | Lifetime Achievement Award

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Prof. Dr. Julio Pino | Engineering | Lifetime Achievement Award 

Professor | Universidad Estatal del Sur de Manabí | Ecuador

Dr. Julio Cesar Pino Tarragó is a distinguished mechanical engineer and Senior Professor I with a Ph.D. in Mechanical Engineering from the Polytechnic University of Madrid, Spain (2008), and a degree in Mechanical Engineering from Universidad de Holguín “Oscar Lucero Moya” (1993). With extensive experience in both undergraduate and postgraduate teaching, he has delivered courses in strength of materials, theoretical mechanics, mechanical design, physics, statistics, operation and maintenance of agricultural machinery, design of experiments, ergonomics, and reliability of mechanical systems, among others. He has supervised numerous master’s and doctoral theses focused on tribology, agricultural machinery performance, biodigesters, and advanced manufacturing techniques, while also leading significant research projects internationally, including in Cuba, Spain, and Ecuador. His research interests encompass mechanical design, tribology, agricultural machinery, renewable energy, process optimization, and educational technologies using artificial intelligence. Dr. Pino Tarragó has an extensive publication record, including Scopus-indexed Q1-Q3 journals, peer-reviewed books on structural steel design, experimental methods, and engineering education, and articles in Latindex and SciELO journals, reflecting his scholarly impact with 207 citations, H-index 6, and i10-index 5. He has contributed to community-oriented projects, such as sustainable energy solutions for rural areas and constructivist teaching methodologies supported by AI, and has actively engaged in mentorship, leadership, and educational innovation. His awards and honors recognize his commitment to teaching excellence, research leadership, and societal impact in engineering and education. Overall, Dr. Pino Tarragó represents a highly accomplished professional whose expertise, research achievements, and leadership have significantly advanced mechanical engineering and educational practices, positioning him as an influential figure capable of shaping future innovations and mentoring the next generation of engineers globally.

Profiles: Google Scholar | ORCID | LinkedIn | ResearchGate

Featured Publications

  1. Pino Tarragó, J. C.,. (2025). Artificial intelligence and soft skills in civil engineering education: A Latin American curriculum gap with global implications. Research in Globalization, 100307.
    Citations: 20 | H-index: 6

  2. Pino Tarragó, J. C. (2025). Technology and innovative pedagogical strategies in foreign language teaching: Experience at UNESUM. Revista Salud, Ciencia y Tecnología, Q3.
    Citations: 15 | H-index: 6

  3. Pino Tarragó, J. C. (2025). Technology and Gamification in English Teaching for Civil Engineering: A Quasi-Experimental Study. Revista Salud, Ciencia y Tecnología, Q3.
    Citations: 12 | H-index: 6

  4. Pino Tarragó, J. C. (2024). Integrated Wastewater Treatment Technology: Efficiency of Lime and Eichhornia crassipes for Agricultural Irrigation. Revista Salud, Ciencia y Tecnología, Q3.
    Citations: 10 | H-index: 6

  5. Pino Tarragó, J. C. (2024). NEUROTIC in the process of teaching-learning in higher education. Revista Electrónica Formación y Calidad Educativa (REFCalE), 12(3).
    Citations: 8 | H-index: 6

Xingyu Zhou | Engineering | Best Researcher Award

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Prof. Dr. Xingyu Zhou | Engineering | Best Researcher Award 

Assistant Professor | Beijing Institute of Technology | China

Dr. Zhou Xingyu, Assistant Professor at the Beijing Institute of Technology, is an accomplished researcher specializing in renewable energy and electric vehicles. He earned his Ph.D. in Vehicle Engineering from Chongqing University in 2020, following a Bachelor’s degree in Mechanical Design, Manufacturing, and Automation from the same institution. Dr. Zhou has extensive professional experience, including his current role as Assistant Professor at the School of Mechanical Engineering and Vehicle Engineering, Beijing Institute of Technology since March 2023, and a postdoctoral fellowship at the same institute from 2020 to 2023, where he contributed to the National Engineering Research Center for Electric Vehicles. His research interests focus on vehicle powertrain optimization, intelligent energy management, stochastic and data-driven modeling, and electric vehicle motion planning for enhanced energy efficiency. He has demonstrated expertise in multi-objective optimization, machine learning applications for powertrain design, and integration of fuel cell and hybrid electric vehicle systems. Dr. Zhou has led and participated in multiple high-impact research projects, including a National Natural Science Foundation of China Youth Project and key provincial and national projects on electric vehicle energy optimization and system integration. He has published 27 Scopus-indexed documents with 448 citations and an h-index of 11, in reputed journals such as Applied Energy, Journal of Power Sources, Journal of Cleaner Production, and IEEE Transactions on Vehicular Technology, serving frequently as corresponding author. His awards and honors include the Best Student Paper Award at the 2018 Italian Conference on Machines and Mechanisms. In addition, he contributes to the academic community as a reviewer for top journals and Guest Editor of Sustainability. Dr. Zhou Xingyu’s strong technical expertise, leadership in research projects, international collaborations, and commitment to sustainable innovation make him a highly deserving candidate for the Best Researcher Award, reflecting both outstanding academic achievements and meaningful contributions to advancing green mobility and energy-efficient transportation solutions globally.

Profiles: Scopus | ORCID

Featured Publications

Sun, C., Zhang, C., Sun, F., & Zhou, X. (2022). Stochastic co-optimization of speed planning and powertrain control with dynamic probabilistic constraints for safe and ecological driving. Applied Energy, 35, 119874.

Zhou, X., Sun, C., Sun, F., & Zhang, C. (2022). Commuting-pattern-oriented optimal sizing of electric vehicle powertrain based on stochastic optimization. Journal of Power Sources, 545, 23178.

Zhou, X., Sun, F., Zhang, C., & Sun, C. (2022). Stochastically predictive co-optimization of speed planning and powertrain controls for electric vehicles driving in random traffic environment safely and efficiently. Journal of Power Sources, 528, 231200.

Zhou, X., Sun, F., Sun, C., & Zhang, C. (2022). Predictive co-optimization of speed planning and powertrain energy management for electric vehicles driving in traffic scenarios: Combining strengths of simultaneous and hierarchical methods. Journal of Power Sources, 523, 230910.

Zhou, X., Sun, F., & Sun, C. (2021). Machine learning aided methods for reducing the dimensionality of the comprehensive energy economy optimization of fuel cell powertrains. Journal of Cleaner Production, 327, 129250.

Naghi Rostami | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Naghi Rostami | Engineering | Best Researcher Award 

Faculty of Electrical and Computer Engineering | University of Tabriz | Iran

Dr. Naghi Rostami is an accomplished academic and researcher in electrical power engineering, currently serving as Associate Professor and Head of the Electric Power Engineering Department at the University of Tabriz, Iran, where he has held leadership responsibilities from 2018 to 2024. He completed his B.Sc. in Electrical Engineering at K. N. Toosi University of Technology in 2006, his M.Sc. at the University of Tehran in 2008, and earned his Ph.D. from the University of Tabriz in 2013. He also gained international exposure through a research opportunity at Lappeenranta University of Technology, Finland, in 2012 under the supervision of Prof. Juha Pyrhönen. His primary research interests include permanent magnet machine design, particularly axial flux and radial flux configurations, hybrid electric vehicle energy management, modeling and optimization of electrical machines, and the integration of renewable energy systems with electric vehicles and storage technologies. Dr. Rostami’s research skills span analytical and numerical design methods, genetic algorithms, particle swarm optimization, and advanced co-simulation approaches, which he has applied to the design and performance improvement of permanent magnet machines and energy systems. He has an impressive record of publications in reputable journals such as IEEE Transactions on Magnetics, IET Electric Power Applications, Sustainable Cities and Society, and COMPEL, with many works indexed in Scopus and IEEE Xplore. His Google Scholar profile records more than 1,500 citations with an H-index of 19, highlighting the international recognition of his work. While his CV does not list specific awards and honors, his achievements in leadership, international collaborations, and sustained scholarly contributions stand as testaments to his professional excellence. In conclusion, Dr. Rostami is a dedicated scholar whose expertise, impactful publications, and leadership in academia and research make him a strong candidate for recognition through distinguished awards and honors in the field of electrical power engineering.

Profiles: Google Scholar | LinkedIn | ResearchGate

Featured Publications

  1. Jalilzadeh, T., Rostami, N., Babaei, E., & Maalandish, M. (2018). Nonisolated topology for high step-up DC–DC converters. IEEE Journal of Emerging and Selected Topics in Power Electronics, 11(1), 137–150.(Cited 137 times)

  2. Rostami, N., Feyzi, M. R., Pyrhonen, J., Parviainen, A., & Niemela, M. (2012). Lumped-parameter thermal model for axial flux permanent magnet machines. IEEE Transactions on Magnetics, 49(3), 1178–1184.(Cited 136 times)

  3. Zeynali, S., Rostami, N., Ahmadian, A., & Elkamel, A. (2020). Two-stage stochastic home energy management strategy considering electric vehicle and battery energy storage system: An ANN-based scenario generation methodology. Sustainable Energy Technologies and Assessments, 39, 100722.(Cited 104 times)

  4. Marzang, V., Hosseini, S. H., Rostami, N., Alavi, P., & Mohseni, P. (2020). A high step-up nonisolated DC–DC converter with flexible voltage gain. IEEE Transactions on Power Electronics, 35(10), 10489–10500.(Cited 96 times)

  5. Zeynali, S., Rostami, N., & Feyzi, M. R. (2020). Multi-objective optimal short-term planning of renewable distributed generations and capacitor banks in power system considering uncertainties. International Journal of Electrical Power & Energy Systems, 119, 105885.(Cited 93 times)

Shima Sadaf | Engineering | Excellence in Research Award

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Assist. Prof. Dr. Shima Sadaf | Engineering | Excellence in Research Award |

Assistant Professor at King Faisal University, Saudi Arabia.

Dr. Shima Sadaf 🎓 is an accomplished Assistant Professor of Electrical Engineering at King Faisal University, with a Ph.D. (Distinction & Gold Medal) from Qatar University. Her impactful research spans digital twins, AI-driven power electronics ⚡, micro/nano-grids, and sustainable energy solutions 🌱. With 31 publications, two patents—including a US patent—and multiple awards 🏆 such as the LEWAS 2024 Academic Achievement Award, she demonstrates innovation and leadership. Her industry experience with Hyundai and ETA enriches her applied research. A dedicated mentor, active reviewer for top IEEE journals 📚, and certified LEED AP BD+C and PMP® professional, Dr. Sadaf combines advanced research with practical solutions for modern power systems. Her work continues to bridge academia, industry, and sustainability, driving real-world impact and inspiring future engineers.

Professional Profile

Google Scholar

Orcid Profile

📚 Education

Dr. Shima Sadaf holds a Ph.D. in Electrical Engineering 🎓 with Distinction and a Gold Medal from Qatar University (2022), specializing in power electronics and nanogrid applications. She earned her M.Tech with Honors in Power Systems & Drives (2007) and B.Tech in Electrical Engineering (2004) from Aligarh Muslim University, India. Her strong academic foundation blends advanced theory, practical design, and cutting-edge technologies ⚡. Her thesis focused on high-gain DC-DC converters for nanogrids, laying a robust base for sustainable energy research. Committed to continuous learning, she has also achieved professional certifications like LEED AP BD+C and PMP® 🏅, enhancing her expertise in sustainable design and project management. Dr. Sadaf’s educational journey reflects a balance of academic rigor, innovation, and practical relevance.

💼 Professional Experience

Dr. Shima Sadaf’s career integrates academia and industry seamlessly. Currently an Assistant Professor 👩‍🏫 at King Faisal University, she actively develops curricula, mentors students, leads accreditation processes, and designs innovative programs in electrical engineering. Previously, she served as a Graduate Teaching Research Assistant at Qatar University, contributing significantly to teaching and laboratory innovation. Before academia, Dr. Sadaf spent nearly a decade in industry 🏗️ as an Electrical Design Engineer with Hyundai Engineering & Construction and ETA M&E, delivering complex, multimillion-dollar projects like the iconic National Museum of Qatar. Her diverse roles included technical design, project coordination, stakeholder engagement, and mentoring junior engineers. This rich blend of industry and academic experience empowers her to deliver research with strong practical impact and relevance ⚙️.

🔬 Research Interest

Dr. Shima Sadaf’s research focuses on shaping the future of sustainable and intelligent power systems. Her work explores digital twins and AI for converter design 🤖, cybersecurity for power electronics, smart grids, integrated micro/nano-grids, and renewable energy for net-zero goals 🌍. She is especially known for AI-driven design optimization of high-gain DC-DC converters and advanced electric vehicle charging systems 🚗⚡. Her interdisciplinary approach integrates power electronics, machine learning, and grid modernization, addressing urgent global challenges like clean energy, resilient infrastructure, and energy efficiency. With a vision to bridge theory and application, Dr. Sadaf’s research not only advances academic knowledge but also provides scalable solutions for the energy transition, industry innovation, and smarter cities of tomorrow 🔋🏙️.

🏆 Awards and Honors

Dr. Shima Sadaf’s dedication and impact are recognized with prestigious awards 🥇. She received the “Academic Achievement – University Professor Award_LEWAS 2024” for her outstanding contributions to engineering education and research. She also earned the “Best Researcher Award” and “Outstanding Leadership Award” for her influence in innovative research and academic leadership 👏. Her doctoral distinction, recognized with a Gold Medal and a special honor by the Amir of Qatar’s wife, underscores her academic excellence. Additional accolades include the “Women Researcher Award” by ScienceFather and multiple best paper awards at top conferences 📜. These honors reflect not only her scholarly productivity but her commitment to inspiring women in STEM and driving real-world solutions through impactful research.

🧩 Research Skills

Dr. Shima Sadaf combines deep theoretical expertise with practical skills across modern tools and methodologies 🔍. She is proficient in MATLAB/Simulink, PowerWorld Simulator, FPGA with system generator, Arduino IDE, Multisim, and PCB design tools 🖥️. Her robust skill set supports complex modeling, simulation, and implementation of high-gain DC-DC converters, smart grids, and AI-based power systems. She holds two patents, including a US patent, evidencing her innovation in practical technologies ⚡. As a reviewer for IEEE Transactions, IET Power Electronics, and other top journals, she upholds high standards in scientific rigor 📚. Her leadership in workshops and expert talks further highlights her ability to transfer knowledge and inspire emerging researchers and engineers 🌟.

Publications Top Note 📝

Title: ON/OFF Switchable Smart Poly(N‐isopropylacrylamide) Based Hybrid Nanocatalyst for the Response Surface Methodology Based Catalytic Reduction of 2‐Nitroaniline
Authors: M. W. Alam, S. M. Usman, S. Naeem, N. Zaidi, Shima Sadaf, K. Naseem
Year: 2025
Source: ChemistrySelect
Citation: ChemistrySelect 10 (8), Feb. 2025, https://doi.org/10.1002/slct.202404485

Title: Multifunctional ZrO₂/NiO/RGO Ternary Nanocomposites for Degradation of Organic Pollutants, H₂ Production and Antioxidant Property
Authors: S. R. Bavaji, A. Jafar Ahamed, M. W. Alam, G. M. Alsulaim, S. Sadaf
Year: 2025
Source: Journal of Inorganic and Organometallic Polymers and Materials
Citation: Journal of Inorganic and Organometallic Polymers and Materials, Jan. 2025, https://doi.org/10.1007/s10904-025-03630-w

Title: Insight into NaSiCl₃: A Lead-Free Perovskite for the Next Generation Revealed by DFT and SCAPS-1D
Authors: S. Rabhi, et al.
Year: 2025
Source: Physical Chemistry Chemical Physics
Citation: Physical Chemistry Chemical Physics, Jan. 2025, https://doi.org/10.1039/d5cp01747e

Title: Improved Ni₃V₂O₈ Supercapacitive Performance via Urea-Driven Morphological Alteration
Authors: M. W. Alam, et al.
Year: 2025
Source: Ceramics International
Citation: Ceramics International 51 (10), 13430–13442, Jan. 2025, https://doi.org/10.1016/j.ceramint.2025.01.187

Title: Enhanced UV Photodetector Based on WO₃/SnO₂ Heterostructure Nanowire
Authors: M. W. Alam, I. Ao, S. Sadaf, E. R. Singh
Year: 2024
Source: Applied Physics A
Citation: Applied Physics A 131 (1), Dec. 2024, https://doi.org/10.1007/s00339-024-08177-0

Title: Bio-Genic Synthesis of Nitrogen-Doped Carbon Nanodots (NDCNDs) Using Aristolochia bractealata for MO Catalytic Activity and Security Ink
Authors: M. W. Alam, et al.
Year: 2024
Source: Waste and Biomass Valorization
Citation: Waste and Biomass Valorization, Dec. 2024, https://doi.org/10.1007/s12649-024-02859-9

Title: Hydrothermal Synthesis of rGO-Decorated NiMn₂O₄ Nanoneedles for High-Performance Positive Electrode in Asymmetric Supercapacitors
Authors: J. Jothi, M. Parthibavarman, K. L. Meghanathan, B. Souayeh, M. W. Alam, S. Sadaf
Year: 2024
Source: Diamond and Related Materials
Citation: Diamond and Related Materials 150, Nov. 2024, https://doi.org/10.1016/j.diamond.2024.111764

Title: Controlled Synthesis and Electrochemical Characterization of Co₃V₂O₈ Hexagonal Sheets for Energy Storage Applications
Authors: M. A. Yewale, D. K. Shin, M. W. Alam, A. M. Teli, S. Nabi, S. A. Ansari, S. Sadaf, A. A. AlKahtani
Year: 2024
Source: Colloids and Surfaces A: Physicochemical and Engineering Aspects
Citation: Colloids and Surfaces A, Aug. 2024, https://doi.org/10.1016/j.colsurfa.2024.135180

Title: Advancements in Green-Synthesized Transition Metal/Metal-Oxide Nanoparticles for Sustainable Wastewater Treatment
Authors: M. W. Alam, et al.
Year: 2024
Source: Materials Research Express
Citation: Materials Research Express 11 (10), Oct. 2024, https://doi.org/10.1088/2053-1591/ad86a4

Title: Bipolar Resistive Switching Behavior of Bilayer β-Ga₂O₃/WO₃ Thin Film Memristor Device
Authors: M. W. Alam, A. Jamir, B. Longkumer, B. Souayeh, S. Sadaf, B. Moirangthem
Year: 2024
Source: Journal of Alloys and Compounds
Citation: Journal of Alloys and Compounds 1010, Oct. 2024, https://doi.org/10.1016/j.jallcom.2024.177032

✅ Conclusion

In summary, Dr. Shima Sadaf is an outstanding researcher, educator, and innovator who exemplifies research excellence and impactful leadership ✨. Her career unites advanced technical expertise, high-quality publications 📑, patents, industry experience, and dedication to sustainability 🌱. Recognized globally for her contributions and leadership, she empowers the next generation of engineers through active mentorship, curriculum innovation, and outreach. With her strong interdisciplinary focus and commitment to solving real-world energy challenges ⚙️, Dr. Sadaf stands out as a role model in modern power electronics and sustainable energy systems. Her work continues to bridge academia, industry, and society, driving progress towards smarter, greener, and more resilient energy solutions for the future ⚡🌍.