Pei Lyu | Engineering and Technology | Best Researcher Award

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Pei Lyu | Engineering and Technology | Best Researcher Award

Mr Pei Lyu, School of Electronic Science and Engineering, Nanjing University, China

Mr. Pei Lyu is a promising young researcher pursuing his Ph.D. in Electronic Science and Technology at Nanjing University, China 🇨🇳. With an M.S. degree in Electronic and Communication Engineering from Nanjing University of Posts and Telecommunications (2021) 📡🎓, he has rapidly advanced in the field of satellite communication. His research delves into downlink scheduling and robust optimization, addressing real-world challenges like uncertainty in space-to-ground communication due to atmospheric interference 🌍🌫️. He has contributed to high-impact national projects funded by the National Natural Science Foundation of China and the Ministry of Education 🔬📊. He has also published notable work in reputed journals and holds innovative patents in blockchain-enabled spectrum sensing and cognitive radio systems 📘🛰️. His pioneering models integrating equipment cost, capacity, and throughput optimization make him a deserving nominee for the Best Researcher Award 🏆🚀.

Publication Profile

Orcid

Education

Mr. Pei Lyu began his academic journey with a Master’s degree in Electronic and Communication Engineering from Nanjing University of Posts and Telecommunications in 2021 📚📡. Demonstrating a strong commitment to innovation, he progressed to pursue a Ph.D. in Electronic Science and Technology at Nanjing University, one of China’s leading institutions in engineering and research 🏛️🔬. His educational path has equipped him with a solid foundation in communication technologies, mathematical optimization, and system design. His current Ph.D. research focuses on satellite communications and downlink scheduling, blending theoretical insight with practical relevance. His academic performance and research innovation have earned him opportunities to work on prestigious national projects and publish internationally, reinforcing his standing as an emerging scholar with a bright future ahead in electronic science and aerospace communication systems 🚀🎓.

Experience

Mr. Pei Lyu is currently engaged as a Ph.D. researcher at Nanjing University, contributing to various high-impact research initiatives in satellite communications 🛰️🔍. He has participated in national-level projects such as the National Natural Science Foundation of China (Grant 62131012) and the Unveiling and Leading Project of Nanjing University Integrated Research and Development Platform of the Ministry of Education 📈🔧. His work bridges academic research with future-forward technology, focusing on practical applications of downlink scheduling under unpredictable environmental conditions like atmospheric turbulence ☁️🌪️. Pei Lyu has also contributed to the development of blockchain-based communication frameworks and game-theoretic models for resource allocation. His hands-on experience with robust system modeling and optimization showcases his technical leadership and problem-solving skills. Although early in his professional journey, his impactful contributions and involvement in cutting-edge projects distinguish him as an innovative force in the field of communication engineering 🌐🛠️.

Awards and Honors

While Mr. Pei Lyu is at an early stage in his research career, his work has already made significant strides within the academic community 🧠📈. His inclusion in funded national projects like the National Natural Science Foundation of China and the Ministry of Education’s strategic R&D platform underscores the national recognition and institutional trust in his research excellence 🌟📊. His pioneering research led to patents involving blockchain-enabled cognitive radio systems, showcasing innovation with real-world impact 🔒📡. The acceptance and publication of his work in high-ranking SCI-indexed journals such as IEEE Communications Letters highlight his academic rigor and contribution to the field. These achievements, along with his trailblazing models that solve real-world satellite communication problems, mark him as a leading young scholar. Mr. Pei Lyu’s body of work is commendable and perfectly aligns with the criteria of the Best Researcher Award 🏅🚀.

Research Focus

Mr. Pei Lyu’s research is centered around satellite communication, with a specific emphasis on downlink scheduling and robust optimization under uncertainty 🛰️📶. He addresses core challenges in space-to-ground data transmission, such as disruptions from cloud cover and atmospheric turbulence ☁️🌪️. One of his major contributions is the development of a throughput-driven joint optimization framework that innovatively combines downlink scheduling with satellite site selection, factoring in cost and capacity constraints 💻📈. His work is the first to incorporate uncertainties in optical communication scheduling, creating solutions to maximize satellite data download performance. Additionally, he explores blockchain-enabled communication frameworks with game-theoretic resource allocation to secure spectrum sensing processes 🔒🎮. Through these efforts, Mr. Lyu is pushing the boundaries of communication system efficiency and reliability. His work contributes significantly to both theoretical foundations and practical solutions in satellite and wireless communications 🚀🧩.

Publication Top Notes

  • 📖 Space-to-Ground Optical Communication Downlink Scheduling Under Uncertainty of Link Availability – IEEE Communications Letters (DOI: 10.1109/LCOMM.2025.3555945)

  • 🧠 A Blockchain-Enabled Spectrum Sensing Framework with Game-Theoretic Resource Allocation – Patent

  • 🔐 Blockchain-Enabled Cognitive Radio System and Method with Sensing Reward Allocation – Patent

Eduardo Garcia Magraner | Engineering and Technology | Best Researcher Award

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Eduardo Garcia Magraner | Engineering and Technology | Best Researcher Award

Dr Eduardo Garcia, Magraner Ford Motor Company, Spain

🔧 Dr. Eduardo García Magraner is a distinguished expert in industrial automation, manufacturing, and occupational safety. With a Ph.D. in Computer Engineering & Industrial Production (Cum Laude, CEU Cardenal Herrera, 2016) 🎓, he has led key roles at Ford Spain 🚗, from Electromechanical Maintenance to Manufacturing Manager. A Lean Six Sigma Black Belt ⚙️, he has earned multiple innovation and safety awards 🏆, including the Henry Ford Technical Award. A sought-after speaker 🎤 and researcher 📖, his contributions span Industry 4.0, predictive maintenance, and AI-driven efficiency. Passionate about smart factories 🏭, he bridges academia and industry for sustainable progress. 🌍

Publication Profile

Orcid

Academic and Professional Background 

Dr. Eduardo Garcia Magraner 🎓⚙️ is an expert in industrial engineering, automation, and occupational safety. His academic journey began with vocational training in electrical and telecommunications, followed by a Ph.D. in Computer Engineering and Industrial Production (2016) 🏅. Certified in Lean Six Sigma (Black Belt) and occupational risk prevention, he has mastered integrated management systems 🏭✅. With expertise in robotics 🤖, energy efficiency 🌱, and human resources 🤝, he has undertaken extensive additional training in automation and safety. His research explores machine deterioration and throughput optimization 📊. A leader in engineering and innovation, he continuously enhances industry standards 🚀.

Experience

Dr. Eduardo Garcia Magraner has built an impressive career at Ford S.L, starting as a First-Class Electromechanical Maintenance Operator (1990-2001) ⚙️. He advanced to Equipment Engineer (2001-2006) and later became a Maintenance Supervisor (2006) 🔩. His expertise led him to roles such as Senior Equipment Engineer in Maintenance & Automation (2007-2012) and Production Supervisor (2012) 🏭. He progressed to Manufacturing Manager for Body & Stamping (2014) and Champion of M.O.S. (2016) 🔧. As SPOC for Cyber Security (2019) and now Manufacturing Manager for Assembly & Battery Plants (2023), he continues shaping Ford’s production excellence ⚡🚗.

Awards and Recognitions 

Dr. Eduardo Garcia Magraner has been recognized for his outstanding contributions to safety, productivity, and innovation at Ford Spain 🚗🏆. His accolades include multiple Maximum Awards for enhancing press line efficiency (1997, 1999, 2002) and the prestigious Henry Ford Technical Award (2019) for IIoT-based predictive maintenance 🔧📊. He received honors for workplace safety (1995, 2010, 2012) and academic mentorship at the Polytechnic University of Valencia (2014) 🎓👏. His work in AI and cybersecurity earned global recognition (2019, 2020) 🤖🔐. A leader in industrial innovation, he continues to push the boundaries of engineering excellence 🚀⚙️.

Academic Impact 

Dr. Eduardo Garcia is a distinguished researcher in automation and smart manufacturing 🤖🏭. Beyond his groundbreaking research, he has delivered keynote presentations at global conferences, sharing insights on smart factories and AI-driven manufacturing 🔍🎤. His expertise has influenced industry advancements, making him a sought-after speaker in the field. In recognition of his contributions, he was honored with the prestigious CEU Ángel Herrera Prize in 2023 🏆🎓, further solidifying his reputation as a leading researcher. Through his work, Dr. Garcia continues to shape the future of industrial automation, bridging innovation and practical applications for smarter, more efficient production systems ⚙️🌍.

Presentation

Dr. Eduardo García is a distinguished expert in industrial robotics and Industry 4.0 🤖🏭, actively contributing to global conferences and forums. He has delivered impactful presentations at events like EVERii2020, PENTEO2020, and INNOVATION TALKS 2020, addressing smart manufacturing and supply chains 🚀📦. A sought-after speaker, he has shared insights at Advanced Factories, the Global Robot Expo, and the International Conference on Big Data, AI, and IoT 🌍📊. As a Master Professor at PEAKS BUSINESS SCHOOL, he fosters innovation in Industry 4.0. In 2023, he received the prestigious CEU Ángel Herrera Prize for outstanding research excellence 🏆📖.

Research Focus

Dr. Eduardo García Magraner’s research focuses on Industrial Internet of Things (IIoT) 🏭📡, smart manufacturing 🤖, and predictive maintenance 🔧⚙️ within Industry 4.0. His work includes real-time condition monitoring 🕒, virtual sensors 📊, and AI-driven automation 🤖🔍 to enhance efficiency in industrial environments. Key contributions involve sub-bottleneck detection 🚀, autonomous mobile warehouses 🚗🏭, and manufacturing process optimization 📈 using big data and simulation tools 📡💡. His research advances smart factory management 🏭💻, ensuring reliability, reducing downtime, and boosting productivity. His innovations drive next-gen industrial automation 🚀🏗️ for intelligent and self-optimizing manufacturing ecosystems.

Publication Top Notes

I3oT (Industrializable Industrial Internet of Things) Tool for Continuous Improvement in Production Line Efficiency by Means of Sub-Bottleneck Detection Method

Survival 1.0: A Novel Autonomous Industrial Mobile Warehouse (AIMW) for Industrial Environments

Virtual Sensor of Gravity Centres for Real-Time Condition Monitoring of an Industrial Stamping Press in the Automotive Industry

Influence of Mechanical Failures of the Welding Gun on the Magnetic Field Generated in the Measurement of Misalignment

Mini-Sym 4.0. a Novel Simulation Tool to Calculate Real-time Production Line Productivity

Miniterm, a Novel Virtual Sensor for Predictive Maintenance for the Industry 4.0 Era

Manufacturing Maps, a Novel Tool for Smart Factory Management Based on Petri Nets and Big Data Mini-Terms

Shichang Chen | Tech Innovations | Best Researcher Award

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Shichang Chen | Tech Innovations | Best Researcher Award

Dr Shichang Chen, Zhejiang Sci-Tech University, China

Dr. Shichang Chen 🎓🔬 is a distinguished researcher in polymer materials and engineering. He earned his Ph.D. from Zhejiang Sci-Tech University (2017) and completed postdoctoral research at Zhejiang University (2019-2022). Currently, he is a faculty member at Zhejiang Sci-Tech University. His innovations have led to large-scale reactor applications, with 40 invention patents (22 authorized) and transactions exceeding 100 million yuan 💡💰. He has led multiple national and provincial projects and published 40+ papers in top journals 📄📚. Recognized with prestigious awards, including Zhejiang Province’s High-level Talent Support Program (2024), Dr. Chen advances polymer science and engineering globally 🌍.

Publication Profile

Scopus

Education and Experience

Dr. Shichang Chen 🎓 is a dedicated researcher in polymer materials. He earned his Bachelor’s degree in Polymer Materials and Engineering from Yangtze University (2007-2011) 🏛️. He then pursued his Ph.D. in Textile Science and Engineering at Zhejiang Sci-Tech University (2011-2017) 🧵🔬. Following this, he completed a postdoctoral fellowship in Materials Science and Engineering at Zhejiang University (2019-2022) 🏅. Since 2017, he has been contributing to the Department of Polymer Materials at Zhejiang Sci-Tech University 📚🧪. His expertise spans polymer materials, textiles, and advanced material sciences, driving innovation in the field 🚀.

Research Funding & Projects

Dr. Shichang Chen 🎓🔬 has successfully secured and led multiple prestigious research projects, showcasing his expertise in scientific innovation. His achievements include securing 2 National Funds 🇨🇳, 2 Zhejiang Provincial Funds 🏅, and 10 Enterprise Projects 💼. He has actively contributed to key national research initiatives, including the 973 Program 🔍, National Key R&D Programs 🧪, and three strategic consulting research projects at the Chinese Academy of Engineering 🏛️. Dr. Chen’s dedication to advancing research and technological development continues to make a significant impact in his field. 🚀📚

Research Achievements 

Dr. Shichang Chen has made remarkable contributions to reactor applications for 10,000-ton and 1,000-ton production lines ⚙️🏭. He has declared 40 invention patents, with 22 authorized, and patent transactions exceeding 100 million yuan 💡💰. As a lead researcher, he has hosted 2 national funds, 2 Zhejiang Provincial funds, and 10 enterprise projects, while also playing a key role in national 973 and strategic consulting research projects 📊🔬. With a strong academic presence, he has published a book and 40 papers in top-tier journals like Macromolecules, focusing on polymers and chemical engineering 📖🧪.

Honor Award 

Dr. Shichang Chen 🎓 is a distinguished researcher recognized for his contributions to textile science. In April 2024, he was selected for the Zhejiang Province High-level Talent Support Program as a young top talent 🌟. The previous month, he joined the Zhejiang Academician Pair Young Talents Program 🏅. His excellence was also acknowledged in October 2021 when he was awarded the China Association for Science and Technology Youth Lifting Talent Project 🚀. Additionally, he serves as a Young Editorial Member for the EI Journal of Textile Research (December 2021) and Modern Textile Technology (January 2023) 📖🔬.

Research Focus

Dr. Shichang Chen’s research focuses on polymer engineering, mooring rope mechanics, and chemical process simulations 🔬⚙️. His work includes dynamic stiffness analysis of damaged polyester mooring ropes 🛳️, the mechanical behavior of aramid and polyester fibers under loading history ⚡, and falling film polymerization processes 🏭. He also explores numerical simulation of variable viscosity fluids 💻🔄 and waste PET depolymerization for recycling ♻️🧪. His studies contribute to marine engineering, textile chemistry, and sustainable polymer recycling, advancing both industrial applications and environmental sustainability 🌍🔄. His expertise spans mechanics, materials science, and chemical engineering 🏗️⚗️.

Publication Top Notes

Dynamic stiffness of full-scale damaged polyester mooring ropes

Effects of bedding-in loading history on mechanical behaviors of aramid HMPE and polyester mooring ropes

Process Simulation of falling film liquid-state polymerization of polyester

Numerical Simulation Strategy and Applications for Falling Film Flow with Variable Viscosity Fluids

Depolymerization of waste poly(ethylene terephthalate) into bis(2-hydroxyethyl) terephthalate: Catalytic glycolysis mechanism and kinetics

Mona AbouEleaz | Engineering and Technology | Best Researcher Award

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Mona AbouEleaz | Engineering and Technology | Best Researcher Award

Assoc. Prof. Dr Mona AbouEleaz, Mansoura University, Egypt

Assoc. Prof. Dr. Mona AbouEleaz 🌍⚙️ is a distinguished academic in Production Engineering at Mansoura University, Egypt. With a Ph.D. in Production Engineering 🎓, her expertise spans Smart Manufacturing, Industry 4.0, Lean Six Sigma, and Quality Improvement approaches 📊. She has held roles as a postdoctoral researcher in Canada 🇨🇦 and visiting lecturer in the UK 🇬🇧. As the Executive Director of the University Center for Career Development, she fosters student growth 🚀. Dr. AbouEleaz has published extensively 📚, supervised over 35 projects 🛠️, and actively contributes to academic accreditation and international collaborations 🌐. She enjoys reading, drawing, sports, and traveling ✈️🎨.

Publication Profile

Google Scholar

Education

Assoc. Prof. Dr. Mona AbouEleaz holds a Ph.D. in Production Engineering from Mansoura University, Egypt (2010–2015), with a thesis titled “Lean Six Sigma Practices into an Organizational Quality Management System” 🎯📊. She earned her M.Sc. in Industrial Engineering from Alexandria University (2005–2008), focusing on “Hierarchic Framework for Quality Improvement Approaches” ⚙️📈. Dr. AbouEleaz also holds a B.Sc. in Production Engineering & Mechanical Design from Mansoura University, graduating with honors and ranking first in her class 🏅🎓. Her academic journey reflects a strong commitment to quality improvement, engineering excellence, and continuous innovation 🔍💡.

Experience

Assoc. Prof. Dr. Mona AbouEleaz is a distinguished academic with extensive experience in mechanical design and production engineering. She’s a lecturer at Mansoura University, Egypt 🇪🇬, and has served as a visiting lecturer at the University of Central Lancashire, UK 🇬🇧, and a postdoctoral researcher at the University of Calgary, Canada 🇨🇦. Dr. AbouEleaz excels in leadership roles, serving as Executive Director of the University Career Center and coordinating ERASMUS programs 🌍. Her contributions to strategic planning, quality assurance ✅, and international collaboration 🤝 have significantly advanced Mansoura University’s academic landscape.

Research Focus

Assoc. Prof. Dr. Mona AbouEleaz’s research focuses on advanced manufacturing processes, particularly in Wire Electrical Discharge Machining (WEDM) and material performance analysis. Her work explores surface roughness, material removal rates, and optimization of machining parameters for alloys like AISI304 and AISI316. She also delves into roundness measurement techniques, finite element analysis, and the impact of ERP systems on production efficiency. Additionally, her studies address supply chain performance and process improvement strategies in manufacturing. ⚙️🔩📊✨🔍

Research Interest

Assoc. Prof. Dr. Mona AbouEleaz’s research focuses on Smart Manufacturing and Industry 4.0 🚀🏭. She specializes in enhancing the performance of production and service systems through Quality Improvement approaches, including Lean Six Sigma 📊, optimization methods ⚙️, and Response Surface Methodology. Her expertise extends to Uncertainty Analysis, MCDM (Multi-Criteria Decision Making), and Decision Making Under Uncertainty 🤔. Dr. Mona also works on Measurement Uncertainty, Mechanical Testing 🧪, and utilizes tools like Minitab and ANSYS for statistical and engineering analysis. Her research aims to boost efficiency, precision, and decision-making in advanced manufacturing environments 🌟.

Publication Top Notes

Experimental investigation of surface roughness and material removal rate in wire EDM of stainless steel 304

Methods of roundness measurement: An experimental Comparative study

Wire Electrical Discharge Machining of AISI304 and AISI316 Alloys: A Comparative Assessment of Machining Responses, Empirical Modeling and Multi-Objective Optimization

The Impact of Enterprise Resource Planning (ERP) Implementation on Performance of Firms: A Case to Support Production Process Improvement.

A critical review of supply chain performance evaluation

A study of drilling parameter optimization of functionally graded material steel–aluminum alloy using 3D finite element analysis

Automated Classification of Marble Types Using Texture Features and Neural Networks: A Robust Approach for Enhanced Accuracy and Reproducibility

Types Using Texture Features and Neural Networks: A Robust Approach

Investigating the Impact of Cutting Parameters on Roundness and Circular Runout Using Signal-to-noise Ratio Analysis

 

Malykhina Galina | Engineering and Technology | Best Researcher Award

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Malykhina Galina | Engineering and Technology | Best Researcher Award

Prof. Dr Malykhina Galina, Graduate School of Cyber-Physical Systems Control, Institute of Computer Science and Cybersecurity, Peter the Great St. Petersburg Polytechnic University, Saint-Petersburg, Russia

🌐 Prof. Dr. Galina Malykhina is a distinguished Doctor of Engineering Sciences and Professor at the Higher School of Computer Technologies and Information Systems, Peter the Great St. Petersburg Polytechnic University. After earning her degree in Technical Cybernetics, she advanced to research, specializing in radioisotope measurement for oil, UAV automation, and medical devices 🤖💼. She has guided 8 PhD and 1 doctoral thesis, authored 182+ publications, and presented globally 🌍📈. Honored as a distinguished professor, her courses cover computing networks, cybersecurity, and programming, with recent work on neural networks for industry applications 🧠📡.

Publication profile

Orcid

Academic and Professional Background 

Prof. Dr. Galina Fedorovna Malykhina is a distinguished Doctor of Engineering Sciences and Professor at Peter the Great St. Petersburg Polytechnic University (SPbPU). 🌟 With a career beginning as an engineer in Technical Cybernetics, she has advanced to leadership roles in academia and research. Her expertise is backed by a Ph.D. and doctoral degree in Information, Measuring, and Control Systems. 📚🔧 Throughout her career, Prof. Malykhina has contributed significantly to various high-impact areas in engineering, becoming a recognized leader in her field. Her dedication continues to shape the future of engineering education and research. 🏫🔬

Mentorship and Academic Contributions

Prof. Dr. Malykhina has made significant contributions to academia, particularly in mentorship and research. She has supervised numerous research theses, guiding eight candidate dissertations and one doctoral dissertation. Her dedication to shaping future researchers has solidified her role as both an educator and a researcher. Through her mentorship, she fosters academic growth, ensuring that her students are equipped to succeed in their fields. Her influence extends beyond research, nurturing a new generation of scholars who will continue her work and contribute to the academic community. 🧑‍🏫📚🎓👩‍🔬📖

Recognition 

Prof. Dr. Malykhina has an impressive academic record with 182 publications in the Russian Science Citation Index (RSCI), including 73 core publications and 21 indexed in Scopus and Web of Science 📚🌐. Her contributions to research and academia have earned her the prestigious title of “Honored Professor of SPbPU” 🏅, as well as a jubilee medal from SPbPU, recognizing her outstanding impact in her field 🏆. Her work continues to inspire and shape the academic community, reflecting her dedication and excellence in research and education 👩‍🏫✨.

Educational Impact and International Reach 

Dr. Malykhina has made significant contributions to education by teaching a wide range of courses, from Information Security to Digital Image Processing, for both Russian and international students. Her expertise and dedication to advancing knowledge have earned her opportunities to present her research at numerous international and national conferences. These engagements have allowed her to expand the global reach of her work, bridging academic communities worldwide. Dr. Malykhina’s commitment to education and research has not only enriched her students’ learning experiences but has also made valuable contributions to the global scientific dialogue. 🎓🌍💻📊

Research focus

Prof. Dr. Galina Malykhina’s research focus lies at the intersection of signal processing, machine learning, and mathematical modeling. Her work includes developing advanced techniques like wavelet cross-correlation for two-phase flow control systems in oil well production, and applying physics-informed neural networks (PINNs) to solve complex problems in chemical reactor modeling. She has contributed to methods that solve parameterized singular perturbation problems, leveraging physics-based neural network approaches. Her research also explores the integration of analytical modifications with numerical methods for better process modeling in various industrial applications. 📊🔬💻⚙️

Publication top notes

Wavelet Cross-Correlation Signal Processing for Two-Phase Flow Control System in Oil Well Production

Constructing Physics-Informed Neural Networks with Architecture Based on Analytical Modification of Numerical Methods by Solving the Problem of Modelling Processes in a Chemical Reactor

Physics-Based Neural Network Methods for Solving Parameterized Singular Perturbation Problem

conclusion 

Prof. Dr. Galina Malykhina’s extensive background in engineering, impactful research contributions, role in mentoring emerging researchers, recognized publication record, and global academic engagement establish her as a highly deserving candidate for the Research for Best Researcher Award. Her work demonstrates the qualities of a leading researcher committed to both innovation and education in her field. 

Afful Ekow Kelly | Engineering and Technology | Best Researcher Award

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Afful Ekow Kelly | Engineering and Technology | Best Researcher Award

Dr Afful Ekow Kelly, Catholic University of Ghana, Ghana

Based on the provided information, Dr. Afful Ekow Kelly is indeed a strong contender for the Best Researcher Award. Here’s a breakdown of why he might be a suitable candidate:

publication profile

Scopus

Academic and Professional Background

Dr. Afful Ekow Kelly holds a Higher National Diploma in Statistics, a Master’s degree in Information Technology with a focus on data security, and a PhD in mobile money security algorithms. His diverse academic background supports his robust research capabilities. Professionally, he has experience lecturing at All Nation University and conducting research in collaboration with prestigious institutions like Rutgers University, Colorado State University, and The University of Mines and Technology (UMaT). This combination of academic credentials and professional experience provides a solid foundation for his research work.

Research and Innovations

Dr. Kelly’s research addresses critical areas in technology and financial systems. His completed and ongoing projects (9 in total) demonstrate a commitment to advancing knowledge in mobile money banking, security, and technology adoption. His studies have made significant contributions to understanding mobile payment adoption among Gen-Z, enhancing security in mobile money systems, and improving disaster management strategies. These contributions highlight his innovative approach and practical impact.

Notable Publications and Citations

Dr. Kelly has published in reputable journals such as the Journal of Innovation and Entrepreneurship and Journal of Emergency Management and Disaster Communications. His work, including the paper on mobile money service transactions in Ghana, has been cited 10 times, reflecting its influence and recognition in the academic community.

Contributions

Dr. Kelly’s research in mobile money banking offers insights into enhancing marketing strategies and promoting sustainable financial practices. His work on mobile money security contributes to reducing fraud and increasing consumer trust, thereby fostering financial inclusion. Additionally, his studies on disaster management provide actionable strategies for improving disaster risk reduction and resilience.

Research Impact

Dr. Kelly’s research has practical implications, such as improving mobile money security and adoption, and providing insights into disaster management. His work aids in understanding factors affecting mobile money usage and enhancing financial security, which is crucial for promoting financial inclusion and disaster resilience.

Awards and Recognition

Dr. Kelly’s contributions to the field have been recognized through significant publications and citations. His ongoing research projects and collaborations with renowned institutions further highlight his commitment and impact in his area of expertise.

Conclusion

Dr. Afful Ekow Kelly’s academic qualifications, extensive research experience, and impactful contributions to mobile money security and disaster management make him a compelling candidate for the Best Researcher Award. His innovative approach and significant findings align well with the criteria for this prestigious recognition.

publication top notes

The sustainability and contribution of Generation Z influenced by hedonic and utilitarian values to use mobile money services for fee payment

Using a technology acceptance model to determine factors influencing continued usage of mobile money service transactions in Ghana

The contribution of government policy and financial security control in Ghana’s mobile money services

 

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