Huifang Niu | Engineering and Technology | Best Researcher Award

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Dr. Huifang Niu | Engineering and Technology | Best Researcher Award

lecturer | North University | China

Huifang Niu, born in September 1986, is a Lecturer at North University of China with a strong academic background in automation and intelligent systems. She earned her Bachelor’s degree in Automation and her M.S. in Pattern Recognition and Intelligent Systems from Mongolian University, Hohhot, China, in 2010 and 2013 respectively. In 2023, she completed her Ph.D. in Complex System Modeling and Simulation at North University of China. Her current research focuses on the Remaining Useful Life (RUL) prediction of complex systems, an important area in predictive maintenance and reliability engineering. As an active researcher and educator in electrical engineering, she has published three SCI-indexed journal articles and continues to contribute to the advancement of intelligent system modeling and predictive analytics. Her interdisciplinary expertise bridges automation, simulation, and intelligent diagnostics, positioning her as a promising figure in applied engineering research.

Professional Profile 

Scopus Profile

Education 

Huifang Niu has pursued a progressive academic path in engineering and intelligent systems. She earned her Bachelor’s degree in Automation from Mongolian University, Hohhot, China in July 2010, laying the foundation for her expertise in control systems and automation technologies. She continued at the same institution to obtain her Master’s degree in Pattern Recognition and Intelligent Systems in July 2013, where she delved deeper into machine learning and intelligent algorithms. Most recently, she completed her Ph.D. in Complex System Modeling and Simulation from North University of China, Taiyuan, in June 2023, with a research focus on predictive modeling and the remaining useful life (RUL) of complex systems. Her academic journey reflects a strong.

Professional Experience 

Huifang Niu is currently serving as a Lecturer at North University of China, where she is actively involved in both teaching and research within the field of electrical engineering. Her professional work centers on the prediction of the Remaining Useful Life (RUL) of complex systems, a vital area in the domains of system reliability and intelligent maintenance. With a strong academic foundation and research focus, she contributes to the academic development of undergraduate and postgraduate students while also engaging in scholarly research. Her role bridges theory and application, combining complex system modeling with real-world engineering challenges. Through her work, she continues to expand her expertise in automation, intelligent diagnostics, and predictive system analysis.

Research Interests

Huifang Niu’s research interests lie at the intersection of complex system modeling, intelligent diagnostics, and predictive maintenance. She is particularly focused on the Remaining Useful Life (RUL) prediction of complex systems, which plays a crucial role in improving system reliability, optimizing maintenance strategies, and reducing operational risks in industrial settings. Her work leverages techniques from pattern recognition, machine learning, and simulation modeling to develop accurate and efficient predictive models. Driven by real-world engineering challenges, her research aims to enhance the performance, safety, and longevity of automated and intelligent systems, contributing meaningfully to the fields of electrical engineering, system reliability, and intelligent systems design.

Awards and Honors

As an emerging scholar in the field of intelligent systems and predictive maintenance, Huifang Niu has begun to establish her academic footprint through SCI-indexed publications and her contributions to complex system modeling. While she has not yet been widely recognized with major national or international awards, her recent completion of a Ph.D. in 2023 and her ongoing research work position her as a strong candidate for future honors. Her dedication to high-quality research, teaching excellence, and contributions to the engineering community suggest that further academic and professional recognition is likely as she continues to advance her scholarly career.

Publications Top Noted

Title: Remaining Useful Life Prediction for Multi-Component Systems with Stochastic Correlation Based on Auxiliary Particle Filter

Year: 2025

Conclusion

Hiufang Niu shows promising early-career researcher qualities, especially with a recent Ph.D. and specialized work in predictive modeling for complex systems. Her academic progression, SCI-indexed publications, and focused research direction provide a strong foundation. However, for a highly competitive “Best Researcher Award,” the scope and impact of contributions could be further enhanced.

Khalifa Aliyu Ibrahim | Engineering and Technology | Best Researcher Award

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Khalifa Aliyu Ibrahim | Engineering and Technology | Best Researcher Award

Mr Khalifa Aliyu Ibrahim, Cranfield University, United Kingdom

Mr. Kamilu A. Ibrahim is a dedicated researcher and academic with expertise in AI-driven high-frequency power electronics. Currently pursuing a PhD at Cranfield University, he has a strong background in physics, energy, and power systems. His research focuses on sustainable energy solutions, incorporating artificial intelligence and machine learning. With numerous publications in reputable journals and conferences, Mr. Ibrahim has made significant contributions to renewable energy, hydrogen systems, and power electronics. His academic career includes roles as a lecturer and research assistant, demonstrating his passion for knowledge dissemination. Recognized for his excellence, he has received prestigious scholarships and awards.

Publication Profile

Google Scholar

Education

Mr. Kamilu A. Ibrahim is currently pursuing a PhD in AI-driven design of high-frequency power electronics at Cranfield University, where he explores innovative approaches to sustainable energy and power systems. He previously earned a Master of Science in Energy Systems and Thermal Processes from Cranfield University (2020-2021), gaining expertise in energy efficiency, renewable energy, and thermal management. Further advancing his research skills, he completed a Master’s by Research (M.Res.) in Energy and Power (2022-2023), focusing on advanced power systems and their optimization. His academic journey began with a Bachelor of Science in Physics from Kaduna State University (2013-2016), where he built a strong foundation in physical sciences and energy applications. Throughout his education, Mr. Ibrahim has demonstrated a commitment to innovation in power electronics, artificial intelligence, and sustainable energy solutions. His multidisciplinary background equips him with the technical and analytical skills essential for driving advancements in renewable energy and intelligent power systems. 🎓⚡🔋

Experience

Mr. Kamilu A. Ibrahim has a strong background in research, teaching, and project management, with a focus on power systems, renewable energy, and AI applications. Since 2022, he has been working as a Research Assistant at Cranfield University, contributing to cutting-edge studies in AI-driven high-frequency power electronics. Prior to this, he served as a Lecturer at Kaduna State University from 2021 to 2022, where he taught physics and energy-related courses while mentoring students in research projects. From 2020 to 2021, he was a Lecturer at Nuhu Bamalli Polytechnic, Zaria, where he played a key role in curriculum development and academic instruction in energy systems. Throughout his career, Mr. Ibrahim has combined his expertise in energy and artificial intelligence to drive innovation in sustainable energy solutions. His experience spans teaching, publishing research in top-tier journals, and collaborating on interdisciplinary projects, making significant contributions to the advancement of renewable energy technologies.

Awards and Honors

Mr. Kamilu A. Ibrahim has been recognized for his academic excellence and research contributions through several prestigious awards and honors. He received the Petroleum Technology Development Fund Scholarship (2021), a highly competitive award supporting outstanding researchers in energy and power systems. In 2020, he was also honored with the Merit-based Foreign Scholarship, which enabled him to pursue advanced studies in energy systems and AI-driven power electronics. In addition to these distinguished scholarships, Mr. Ibrahim has earned multiple certificates of completion from various specialized training programs, focusing on sustainable energy, artificial intelligence applications in power systems, and cutting-edge advancements in high-frequency electronics. His commitment to continuous learning and innovation has positioned him as a leader in his field, contributing significantly to research in renewable energy, hydrogen storage, and machine learning applications. These achievements underscore his dedication to academic excellence and groundbreaking contributions to the future of energy technologies.

Publication Top Notes

  • 📊 Revolutionizing Power Electronics Design Through Large Language Models: Applications and Future Directions (2024)
  • 🌊 Floating Solar Wireless Power Transfer System for Electric Ships: Design and Laboratory Tests (2025)
  • 🔋 Harnessing Energy for Wearables: A Review of Radio Frequency Energy Harvesting Technologies (2023)
  • ☀️ The Effect of Solar Irradiation on Solar Cells (2019)
  • 🌡️ Cooling of Concentrated Photovoltaic Cells—A Review and the Perspective of Pulsating Flow Cooling (2023)
  • 🌱 High-Performance Green Hydrogen Generation System (2021)
  • ⚗️ Advancing Hydrogen: A Closer Look at Implementation Factors, Current Status, and Future Potential (2023)
  • 📡 Survey and Assessment of Radiation Levels Associated with Mobile and Wireless Telecommunication Mast in Residential and Office Areas within Kaduna Metropolis (2019)
  • 🚀 Decision Support System for Sustainable Hydrogen Production: Case Study of Saudi Arabia (2025)
  • 🛢️ Measurements of Pour Points, Flash Points, Water Contents, and Viscosity of Some Selected Automobile Oils Used as Lubricants in Nigeria (2022)

atieh ranjbar | Engineering and Technology | Best Researcher Award

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atieh ranjbar | Engineering and Technology | Best Researcher Award

Assist. Prof. Dr atieh ranjbar, Tafresh University, Iran

Assist. Prof. Dr. Atieh Ranjbar 🎓 is a chemical engineer specializing in nanocatalysts and CO2 conversion 🌱. She earned her Ph.D. in Chemical Engineering from the University of Isfahan (2020) and her M.Sc. from the University of Kashan 🏫. Her research focuses on reverse water gas shift (RWGS) and reforming reactions 🔬. Dr. Ranjbar has published extensively and presented at international conferences 🌍. She teaches reactor design, thermodynamics, and nanotechnology 📚. A recognized exceptional talent, she ranked 3rd in her Ph.D. program 🏅. Her interests include nanotechnology, heterogeneous catalysts, and lithium-ion batteries 🔋.

Publication Profile

google scholar

Education

Assist. Prof. Dr. Atieh Ranjbar holds a Ph.D. in Chemical Engineering 🎓 from the University of Isfahan (2012-2020, GPA: 18.12/20), where her research focused on Ni-based nano-catalysts in reverse water gas shift reactions ⚗️. She earned her M.Sc. from the University of Kashan (2008-2011, GPA: 18.91/20), investigating the effect of Al2O3 to CaO ratios on nickel catalysts for dry reforming 🌡️. Dr. Ranjbar completed her B.Sc. in Chemical Engineering at the same university (2004-2008, GPA: 16.24/20). Her expertise lies in catalysis, nanomaterials, and advanced chemical processes, contributing significantly to the field of chemical engineering 🔬.

Experience

Assoc. Prof. Dr.atieh ranjbar is a distinguished chemical engineer specializing in fluid mechanics, heat transfer, and thermodynamics 🌡️📊. He teaches at Tafresh University and lectures at Qom and Hormozgan universities. His Ph.D. focused on Ni-promoted nanocatalysts for CO2 conversion into valuable chemicals 🌱⚙️. His research enhances CO2 recycling efficiency through nanocatalysts, boosting RWGS reaction performance. He also worked on hydrophilic nano LiMn2O4 for lithium-ion batteries 🔋 and nanocrystalline calcium aluminates for syngas production. Dr. Irankhah’s passion for innovation and teaching drives his contributions to advanced reactor design and chemical engineering education 🚀📚.

Honors and Awards

Assoc. Prof. Dr atieh ranjbar is a distinguished academic, ranked 3rd in his Ph.D. program among 10 candidates 🎓. In 2012, he was recognized as an exceptional talent and accepted as a Ph.D. candidate at the University of Isfahan 🏛️. He also achieved 3rd place in his M.Sc. program among 15 students, showcasing his dedication to excellence 📚. In 2008, he was acknowledged as an exceptional talent among 60 students and accepted into the M.Sc. program at the University of Kashan 🌟. His academic journey reflects perseverance, talent, and a passion for higher education.

Presentations

Assoc. Prof. Dr atieh ranjbar has made significant contributions to chemical engineering through various oral and poster presentations 🎓🧪. He has presented at prestigious events like the International Chemical Engineering Congress (IChEC), discussing topics such as Ni-Fe catalysts on nano-Al2O3 for reverse water gas shift reactions (2018) and heat transfer in non-Newtonian fluids (2014) 🌡️🔬. His poster presentations at the National Applied Chemistry Congress (2019) explored Ni nanocatalysts and K-promoted alumina catalysts in key catalytic reactions ⚙️. His work emphasizes methane reforming, calcium aluminates, and nanocatalysts, reflecting his expertise in advanced materials and chemical processes 🌍🔥.

Research Focus

Assoc. Prof. Dr atieh ranjbar research focuses on developing advanced nickel-based catalysts for methane reforming and CO2 utilization 🔬🌱. His work explores catalyst support materials like nanocrystalline MgO, CaO, and Al2O3 to enhance efficiency in processes like dry reforming and the reverse water-gas shift reaction ⚙️🔥. By synthesizing catalysts with high surface areas and unique morphologies, he contributes to cleaner energy solutions and CO2 mitigation 🌍♻️. His studies also investigate the role of rare earth and alkali metals in boosting catalytic performance, reflecting a dedication to sustainable hydrogen production and greenhouse gas reduction 🚀🌐.

Publication Top Notes

Preparation of nickel catalysts supported on CaO. 2Al2O3 for methane reforming with carbon dioxide

Autothermal reforming of methane over Ni catalysts supported on nanocrystalline MgO with high surface area and plated-like shape

Reverse water gas shift reaction and CO2 mitigation: nanocrystalline MgO as a support for nickel based catalysts

Dry reforming reaction over nickel catalysts supported on nanocrystalline calcium aluminates with different CaO/Al2O3 ratios

Low temperature synthesis of nanocrystalline calcium aluminate compounds with surfactant-assisted precipitation method

Catalytic activity of rare earth and alkali metal promoted (Ce, La, Mg, K) Ni/Al2O3 nanocatalysts in reverse water gas shift reaction

Effect of MgO/Al2O3 ratio in the support of mesoporous Ni/MgO–Al2O3 catalysts for CO2 utilization via reverse water gas shift reaction

 

 

 

Yiming Xu | Tech Innovations | Best Researcher Award

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Yiming Xu | Tech Innovations | Best Researcher Award

Mr Yiming Xu, Cranfield University, United Kingdom

Yiming Xu is a Ph.D. candidate in Energy at Cranfield University (2020-2024) with a focus on AI for energy flexibility and decarbonisation. He holds an MSc in Advanced Mechanical Engineering from Cranfield University and a BEng in Mechanical Engineering from Nanjing University of Aeronautics and Astronautics. Yiming has contributed to Innovate UK projects, presented at conferences such as ICAE and ISGT, and published papers on energy trading. He has interned at DJI Technology Co., Ltd, and holds patents in finger flexibility devices and mountain-climbing aids. Proficient in Python, C++, and data visualization, he is also an amateur Muay Thai fighter. 🧠🔋🤖📚🥊

Publication profile

Orcid

Education

With a PhD in Energy from Cranfield University (2020-2024) 🎓, He focused on AI for energy flexibility modelling and decarbonisation 🌱, vehicle-to-vehicle energy trading, and EV owner behaviour analysis 🚗. He presented at ICAE, ISGT, ICPADS, and other seminars 🎤. My MSc in Advanced Mechanical Engineering (2019-2020) included a thesis on peer-to-peer energy trading for EVs ⚡ and courses like CFD and risk engineering 📚. During an AI exchange at Imperial College London (2018), I designed computer vision algorithms for a robotic arm 🤖. My BEng from Nanjing University (2015-2019) involved a thesis on 3D printing and courses in mechanics and materials 🛠️.

Experience

During my internship at DJI Technology Co., Ltd in Shenzhen, China, from June to August 2018, I participated in the global young engineer competition ROBOMASTER, working with a team that included top universities from China and overseas. I served as venue maintenance personnel in the ROBOMASTER machinery group, responsible for debugging mechanical organs and sensors, and maintaining the visual recognition module of the referee system. I inspected and maintained over 50 units of equipment, resolving issues more than 10 times, ensuring the smooth operation of the event. 🌍🤖🔧👨‍🔧📷✅

Research Projects

As a Research Assistant on three Innovate UK projects, I optimized energy flow management in urban EV charging with Lesla Ltd (Aug 2023 – Jan 2024), designing AI models to schedule charging behavior and forecast energy demand 📈🔋. I established a smart home EV charger system for Entrust Smart Home Ltd (Jan 2021 – Mar 2021), focusing on app design and peer-to-peer energy trading 📱🏠. Additionally, I worked with SNRG Ltd and Electric Corby CIC (Oct 2020 – Mar 2021) on advanced grid services, analyzing driving behavior data and designing trading algorithms 🚗💡. All projects met quality standards and were successfully delivered ✅.

Research focus

Yiming Xu’s research primarily focuses on vehicle-to-vehicle (V2V) energy trading, particularly through innovative auction models and flexible trading platforms. His work explores sustainable energy solutions, fraud prevention, and efficient market mechanisms in V2V energy exchanges. Xu’s studies integrate advanced technologies like the K-factor approach and double auction systems to enhance energy trading efficiency and security. His research contributions are significant in the fields of smart grids, green computing, and sustainable energy, aiming to develop robust frameworks for future energy systems. 🌍🔋🚗💡📉🔒

Publication top notes

Vehicle-to-Vehicle Energy Trading Framework: A Systematic Literature Review

An Anti-fraud Double Auction Model in Vehicle-to-Vehicle Energy Trading with the K-factor Approach

A Vehicle-to-vehicle Energy Trading Platform Using Double Auction With High Flexibility