Rongyan Xi | Engineering | Best Researcher Award

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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.

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.

João Felipe C L Costa | Engineering | Best Research Article Award

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Prof. João Felipe C L Costa | Engineering | Best Research Article Award

Professor at Federal University of Rio Grande do Sul, Brazil

Dr. João Felipe Costa 🎓 is a distinguished Professor of Mining Engineering at the Federal University of Rio Grande do Sul, Brazil, with over four decades of expertise in geostatistics, mineral exploration, and mine planning ⛏️. He holds a PhD in Geostatistics from the University of Queensland and has published 300+ peer-reviewed papers 📚. A respected mentor, he has guided over 110 theses and dissertations and received multiple teaching accolades, including the prestigious John Cedric Griffiths Teaching Award 🏅. As head of the mineral exploration lab for 30+ years and an active member of leading international mining societies 🌍, Dr. Costa has led significant resource estimation projects globally, especially in phosphate deposit modeling. His career exemplifies academic excellence, innovation, and impactful contributions to mining sciences and education 🔍.

Professional Profile

🎓 Education

Dr. João Felipe Costa earned his BSc (1983) and MSc (1992) in Mining Engineering from the Federal University of Rio Grande do Sul 🇧🇷, where he currently serves as Professor. He advanced his academic journey by earning a PhD in Geostatistics from the University of Queensland, Australia 🇦🇺 in 1997. His education bridges deep technical knowledge with applied innovation, particularly in geological modeling and statistical data analysis 📊. His foundation in mining engineering and specialization in geostatistics has positioned him as an expert in both practical and academic settings. Dr. Costa’s education reflects a strong commitment to continuous learning and excellence in the evolving field of mineral resources and spatial data science 🧠.

💼 Professional Experience

Dr. Costa began his career as a mining engineer at a major coal operation in southern Brazil, where he optimized unit operations using early computer applications in the 1980s 🖥️⛏️. He joined the Federal University of Rio Grande do Sul in 1986 and has served as a Professor in the Mining Engineering Department ever since. His professional journey includes roles as Department Head, research lab coordinator, and consultant on numerous mineral resource evaluation projects 🌐. With over 30 years of teaching and field experience, he has balanced academic leadership with applied industrial insight, making significant contributions to both sectors. His dedication to education, project execution, and resource modeling showcases his deep engagement with both theory and practice ⚙️📘.

🔬 Research Interest

Dr. João Felipe Costa’s core research interests lie in geostatistics, mineral resource estimation, mine planning, and phosphate deposit modeling 📈. He is especially known for developing robust techniques for spatial data analysis, resource classification, and geological uncertainty evaluation. His work extends to a variety of geological settings, including sedimentary and carbonatite phosphate formations in Brazil and Peru 🌍. Passionate about data-driven solutions, his research integrates statistical modeling with software tools to improve decision-making in exploration and mining processes 💡. As a leading voice in mathematical geosciences, Dr. Costa’s interdisciplinary research not only enhances mining efficiency but also supports sustainable resource management 🔎🧭.

🏅 Awards and Honors

Dr. Costa has been honored multiple times throughout his career. Most notably, he received the John Cedric Griffiths Teaching Award in 2014 from the International Association for Mathematical Geosciences, recognizing his excellence in geoscience education 🎖️. He has also been named Distinguished Professor by graduating classes over the past 20 years, reflecting his lasting impact on student learning 👨‍🏫. As an esteemed member of professional societies like AusIMM, IAMG, SME (USA), and SAIMM (South Africa), his global contributions have earned widespread recognition 🌐. His leadership in Brazil’s mineral resources committee further reinforces his influence in shaping mining policy and academic standards 🏆.

🛠️ Research Skills

Dr. Costa possesses advanced research skills in geostatistical modeling, orebody evaluation, spatial data interpretation, and mineral resource classification 🔍. He is proficient in using industry-relevant software for data simulation, variography, and risk assessment 🖥️📊. His methodological rigor is evident in over 300 peer-reviewed publications and advisory roles in complex exploration projects worldwide 🌎. As the head of a leading mine planning lab for three decades, he has cultivated a dynamic research environment integrating computational tools with field data. His skills also include thesis supervision, technical writing, and collaborative research management, making him a versatile and highly capable scientific contributor 🔧📘.

Publications Top Note 📝

Title: Localized conditional simulation to integrate production data in grade control models
Authors: R. L. Silva, J. F. C. L. Costa, D. M. Marques
Year: 2021
Source: Computers & Geosciences
Citation: Computers & Geosciences, Vol. 150, 104722

Title: Uncertainty in the modeling of lateritic nickel ores by multiple indicator kriging
Authors: A. L. F. Duarte, J. F. C. L. Costa
Year: 2016
Source: Ore Geology Reviews
Citation: Ore Geology Reviews 73, 223–233

Title: Conditional simulation of iron ore deposit grades using co-simulation with proportional correction
Authors: J. F. C. L. Costa, R. H. Rubio, D. M. Marques
Year: 2018
Source: Revista Escola de Minas
Citation: Rev. Esc. Minas 71(4), 531–538

Title: Application of indicator kriging to define cutoff grades for iron ore
Authors: J. F. C. L. Costa, D. M. Marques
Year: 2013
Source: Revista Escola de Minas
Citation: Rev. Esc. Minas 66(1), 37–43

Title: Geostatistical conditional simulation to define grade control strategy for a bauxite mine
Authors: D. M. Marques, J. F. C. L. Costa
Year: 2015
Source: J. South African Institute of Mining and Metallurgy
Citation: J. SAIMM 115(6), 533–540

Title: Geostatistical simulation of mineral grades using multiple-point statistics
Authors: F. G. da Silva, J. F. C. L. Costa
Year: 2016
Source: Computers & Geosciences
Citation: Computers & Geosciences 94, 1–12

Title: Simulation of grade control based on inverse distance weighting
Authors: D. M. Marques, J. F. C. L. Costa
Year: 2018
Source: Revista Escola de Minas
Citation: Rev. Esc. Minas 71(1), 123–129

Title: Geostatistical modeling in lateritic nickel ore: A comparative study between ordinary kriging and indicator kriging
Authors: A. L. F. Duarte, J. F. C. L. Costa
Year: 2015
Source: Natural Resources Research
Citation: Nat. Resour. Res. 24(2), 213–225

Title: Use of stochastic simulation to support mining strategy selection
Authors: D. M. Marques, J. F. C. L. Costa
Year: 2016
Source: Journal of the Southern African Institute of Mining and Metallurgy
Citation: J. SAIMM 116(7), 669–676

Title: Comparison of multivariate conditional simulation techniques for iron ore grade modeling
Authors: R. H. Rubio, J. F. C. L. Costa
Year: 2017
Source: Computers & Geosciences
Citation: Computers & Geosciences 101, 1–12

✅ Conclusion

Dr. João Felipe Costa is a world-class academic and professional in mining engineering and geostatistics, blending education, research, and leadership with remarkable consistency 🌟. His impact spans over 40 years of scholarly excellence, with hundreds of publications, international collaborations, and influential teaching. A mentor, innovator, and geoscience leader, he continues to shape the future of mineral exploration and resource evaluation 🔬🧭. With his global recognition, research depth, and technical command, Dr. Costa stands as a compelling candidate for top honors in scientific research and academic excellence 🎓🏅.

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 ⚡🌍.