Anas Abdelrahman | Engineering and Technology | Best Researcher Award

Posted on 07/08/202507/08/2025 by Research Hypothesis

Dr. Anas Abdelrahman | Engineering and Technology | Best Researcher Award

Dr. Anas Abdelrahman | Engineering and Technology | Assistant Professor of Mechanical Engineering | Egypt

Dr. Anas Mohamed Abdelrahman is an accomplished Assistant Professor of Mechanical Engineering at Future University in Egypt and a Post-Doctoral Fellow at Zhejiang University China. He holds a PhD in Thermal Power Engineering from Huazhong University of Science and Technology, and his research spans advanced topics such as hydrogen energy, cryogenics, thermal management, machine learning applications, and renewable energy systems. With over 20 publications in prestigious international journals, Dr. Abdelrahman has made significant contributions to intelligent modeling and optimization in energy systems. He has been recognized with multiple academic excellence awards and serves as a peer reviewer for top-tier journals, reflecting his academic influence. His international academic engagements and mentorship of engineering students demonstrate a commitment to both research and education, positioning him as a forward-looking and impactful researcher in the global mechanical and energy engineering community.

Professional Profile

Education

Dr. Anas Mohamed Abdelrahman has a strong academic foundation in mechanical and thermal engineering. He is currently a post-doctoral fellow at both Zhejiang University (ZJU) and Hangzhou City University (HZCU) in China, focusing on energy and cryogenic research. He earned his PhD in Thermal Power Engineering from the Department of Refrigeration and Cryogenics at Huazhong University of Science and Technology (HUST), Wuhan, China, where his research emphasized artificial intelligence modeling and scaling analysis for thermoacoustic systems. Prior to that, he completed his MSc in Design and Production Engineering at Ain Shams University, Cairo, Egypt, with a thesis centered on intelligent techniques in the wire EDM process. He also holds a BSc in Mechanical Power Engineering from Ain Shams University, graduating with a “Very Good” grade and an “Excellent” graduation project on central air conditioning system design. His academic journey reflects a continuous pursuit of interdisciplinary innovation in energy and thermal systems.

Professional Experience

Dr. Anas Mohamed Abdelrahman has amassed extensive professional experience in both academia and industry. He has been a faculty member in the Mechanical Engineering Department at Future University in Egypt (FUE), where he currently serves as an Assistant Professor. In parallel, he is a post-doctoral research fellow at Zhejiang University (ZJU) and Hangzhou City University (HZCU) in China, contributing to advanced research in cryogenics and hydrogen energy. He also held a short-term instructional position at the Public Authority for Applied Education and Training (PAAET) . Earlier in his career, he worked as a Production Planning Engineer at Elsewedy Cables Company in Cairo, Egypt. Dr. Abdelrahman’s career demonstrates a solid blend of teaching, research, and industrial expertise, with a focus on applying advanced thermal and energy systems research to real-world engineering challenges.

Research Interest

Dr. Anas Mohamed Abdelrahman’s research interests are deeply rooted in the fields of energy, thermal sciences, and intelligent engineering systems. His work spans a wide range of topics, including refrigeration and cryogenics, hydrogen energy, energy storage systems, and multilayer insulation materials. He is particularly focused on the application of artificial intelligence and machine learning for intelligent modeling and optimization in thermal and fluid systems. His research also explores thermoacoustics, pulsating heat pipes, heat transfer enhancement, waste heat recovery, and fluid-solid interactions. Additionally, he is actively involved in renewable energy applications such as solar energy management, solar chimney systems, and thermal management of electronic devices. Through this multidisciplinary approach, Dr. Abdelrahman aims to develop innovative, energy-efficient, and sustainable engineering solutions for emerging global challenges.

Award and Honor

Dr. Anas Mohamed Abdelrahman has received numerous awards and honors in recognition of his academic excellence and research contributions. He was honored with the Post-Doctoral Talent Recognition Certificate by Zhejiang University in China and received several Outstanding Academic Achievement Awards during his MSc, PhD, and undergraduate studies from institutions including Future University in Egypt and Huazhong University of Science and Technology (HUST), China. His PhD work also earned him the Outstanding Academic Excellence Award in Scientific Research at HUST, along with an honorary recognition for international PhD graduates. Additionally, Dr. Abdelrahman has been acknowledged for his service as a peer reviewer for leading international journals such as Applied Energy, International Journal of Hydrogen Energy, Energy, The Journal of the Acoustical Society of America, and Thermal Science and Engineering Progress, receiving honorary certificates . These accolades reflect his dedication to advancing engineering science and his standing in the global research community.

Publications Top Noted

Prediction of output power with artificial neural network using extended datasets for Stirling engines
Year: 2020 | Cited by: 61

Prediction of oscillatory heat transfer coefficient for a thermoacoustic heat exchanger through artificial neural network technique
Year: 2018 | Cited by: 59

Single-objective optimization for stack unit of standing wave thermoacoustic refrigerator through fruit fly optimization algorithm
Year: 2019 | Cited by: 27

Prediction of acoustic wave parameters of thermoacoustic prime mover through artificial neural network technique: Practical approach for thermoacoustics
Year: 2018 | Cited by: 15

Prediction of cooling load for a standing wave thermoacoustic refrigerator through artificial neural network technique
Year: 2017 | Cited by: 15

Prediction of pressure evolution in non-venting self-pressurized liquid hydrogen tanks using artificial neural network approach
Year: 2024 | Cited by: 10

Single-objective Optimization for Stack Unit of Standing Wave Thermoacoustic Refrigerator through Particle Swarm Optimization Method
Year: 2019 | Cited by: 10

Experimental and theoretical study on the optimal placement of reflective shield in multilayer insulation systems
Year: 2025 | Cited by: 3

IMPROVED PREDICTIONS OF ONSET TEMPERATURE IN TWIN THERMOACOUSTIC HEAT ENGINE BY NEURAL NETWORK BASED CALIBRATED THERMOACOUSTIC MODEL
Year: 2019 | Cited by: 3

Solar Chimney Power Plants: A Mini Review
Year: 2022 | Cited by: 2

Conclusion

Dr. Anas Mohamed Abdelrahman is highly suitable for the Best Researcher Award, particularly in fields related to mechanical engineering, energy systems, cryogenics, and intelligent modeling.

Huifang Niu | Engineering and Technology | Best Researcher Award

Posted on 26/07/202501/08/2025 by Research Hypothesis

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.

Junchao Zhao | Engineering and Technology | Best Researcher Award

Posted on 12/04/202512/04/2025 by Research Hypothesis

Junchao Zhao | Engineering and Technology | Best Researcher Award

Dr Junchao Zhao, University of Science and Technology of China, China

Dr. Junchao Zhao 🎓 is an outstanding fire safety researcher specializing in lithium-ion battery fire suppression and ultra-fine dry powder extinguishing agents 🔥🧯. He earned his Ph.D. in Safety Science and Engineering from the University of Science and Technology of China (USTC) 🏛️, where he now serves as a postdoctoral fellow at the State Key Laboratory of Fire Science. Guided by leading experts such as Prof. Heping Zhang and Prof. Xisheng Luo 👨‍🔬, Dr. Zhao has led and contributed to numerous national research projects. His innovative work focuses on fire dynamics, suppression technology, and energy storage safety, addressing urgent issues in aviation and electric vehicle fires ✈️🚗. With a rich portfolio of high-impact publications 📚, prestigious awards 🏆, and collaborative projects, Dr. Zhao’s scientific excellence and dedication to fire protection science continue to influence safety engineering globally 🌍.

Publication Profile

Orcid

Education

Dr. Junchao Zhao embarked on his academic journey in Safety Engineering at Henan University of Science and Technology (2013–2017) 🎓. Graduating with honors, he proceeded to pursue a Ph.D. in Safety Science and Engineering at the University of Science and Technology of China (USTC) from 2017 to 2022 🏛️. There, he conducted cutting-edge research at the prestigious State Key Laboratory of Fire Science 🔬. Under the mentorship of Prof. Heping Zhang 👨‍🏫, he focused on novel fire suppression technologies, specifically targeting lithium-ion battery fires and ultra-fine dry powder extinguishing agents 🔥🧯. His academic path has been marked by consistent excellence, demonstrated by numerous national-level scholarships and distinctions 🌟. Dr. Zhao’s rigorous training and specialization in fire safety have built the foundation for his current postdoctoral research, allowing him to contribute significantly to national R&D initiatives and scientific innovation in fire science and engineering.

Research & Academic Experience

Since July 2022, Dr. Junchao Zhao has been serving as a Postdoctoral Fellow at the State Key Laboratory of Fire Science, USTC 🏢. Under the co-supervision of Prof. Xisheng Luo and Prof. Heping Zhang, he leads pioneering research on extinguishing technologies for high-risk environments like aircraft power cabins ✈️🔥. His experience spans key national R&D programs, the China Postdoctoral Science Foundation, and projects funded by the National Natural Science Foundation of China 💰📊. As both principal investigator and research backbone, he has significantly contributed to the development of fire extinguishing mechanisms involving lithium-ion batteries 🔋, energy storage systems, and advanced suppression agents. His academic journey includes collaborations with firefighting institutions, cross-disciplinary innovation, and application-based safety engineering solutions. Dr. Zhao’s hands-on research experience, project leadership, and commitment to safety science make him a vital contributor to fire protection technology and its real-world applications 🚒🔍.

Honors & Scholarships

Dr. Zhao’s academic excellence has been recognized through numerous prestigious honors 🌟. He was awarded the Graduate National Scholarship (Top 2%) in 2019 🥇, and received the National Scholarship (Top 0.3%) in 2015. During his studies at USTC, he earned the School Specialty First-Grade Scholarship for three consecutive years (2017–2019) 🏅. His leadership skills were acknowledged with the Outstanding Student Cadre Award (2018) and Excellent Volunteer Award (2017) 🙌. At Henan University, he received the Excellent Graduate of Henan Province (Top 2%) in 2017 and the National Encouragement Scholarship twice 🧠✨. Further, his active involvement in student governance earned him the Student Union Work Excellence Award and Social Work Excellence Award 🎖️. These accolades reflect his unwavering commitment to academic, research, and social excellence — qualities that firmly establish him as a top candidate for the Best Researcher Award 🏆🔬.

Research Focus

Dr. Zhao’s research focuses on fire safety science, with emphasis on lithium-ion battery thermal runaway, ultrafine dry powder extinguishing agents, and novel suppression technologies 🔥🧯🔋. He investigates extinguishing dynamics in confined and ventilated conditions, particularly in aircraft power cabins and energy storage systems ✈️⚡. His projects explore the design, flow behavior, and minimum extinguishing concentration of advanced agents like KHCO₃ and NaHCO₃. He also studies gas-solid transport and full-flooding spray systems for high-risk applications 💨📈. By integrating material science with fire suppression mechanisms, his work bridges the gap between theory and application, offering real-world safety solutions. Dr. Zhao’s interdisciplinary approach enhances fire protection strategies in aerospace, electric vehicle, and battery storage sectors 🚗🚀. Through national-level collaborations, cutting-edge experiments, and impactful publications, he contributes significantly to the safety and sustainability of next-generation energy technologies 🌱🧪.

Publication Top Notes

🔥 Insights into the particle diameter and base chosen for dry powder fire extinguishing agents – Fire and Materials, 2023
🧯 An improved method to determine minimum extinguishing concentrations of ultrafine dry powder agents – Process Safety and Environmental Protection, 2023
🔋 Comparative study on thermal runaway inhibition of lithium-ion batteries by different extinguishing agents – iScience, 2021
🔥 Experimental study on thermal runaway of 18650 Li-ion battery under enclosed and ventilated conditions – Fire Safety Journal, 2021
✈️ Application of ultrafine dry chemicals modified by POTS/OBS for suppressing aviation kerosene pool fire – Fire Safety Journal, 2020
🌊 Superhydrophobic and oleophobic ultra-fine dry chemical agent with extended fire-protection – Journal of Hazardous Materials, 2019
💧 Experimental study on extinguishing lithium battery box fire using low-pressure water mist system – Journal of Safety and Environment, 2021
🧪 Study on Flowability Enhancement and Performance Testing of Ultrafine Dry Powder Fire Extinguishing Agents – Fire, 2024
⚗️ Pyrolysis of a perfluoro copolymer and its HF contribution – Polymer Degradation and Stability, 2020
🧂 Preparation of hydrophobic/oleophobic fine NaHCO₃ and enhanced fire performance – Materials & Design, 2020

Eduardo Garcia Magraner | Engineering and Technology | Best Researcher Award

Posted on 20/02/202520/02/2025 by Research Hypothesis

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

chen yan | Engineering and Technology | Best Researcher Award

Posted on 08/02/202508/02/2025 by Research Hypothesis

chen yan | Engineering and Technology | Best Researcher Award

Dr chen yan, Shantou Polytechnic, China

Dr. Chen Yan 🎓 is a dedicated researcher in Structural Engineering, holding a Ph.D. from Shantou University 🏗️. Currently a Postdoc at Shantou University and a Lecturer at Shantou Polytechnic 📚, Dr. Chen specializes in foamed concrete modification, geopolymer materials, and building sustainability 🌱. With numerous journal publications 📄, patents ⚙️, and leadership in scientific projects 🔬, he has guided students to win prestigious competitions 🏆. Honored as a “Shantou Youth Skilled Expert” in 2021 🌟, his work bridges academic excellence and practical innovation in civil engineering 🏢.

Publication Profile

Scopus

Education Background

Dr. Chen Yan 🎓 is a dedicated scholar in Civil and Environmental Engineering. Currently a Postdoctoral Researcher at Shantou University 🏫 (since December 2024), Dr. Yan earned a Ph.D. in Structural Engineering (2015–2024) and a Master’s in the same field (2010–2013) from Shantou University, Guangdong, China 🌏. His academic journey began with a Bachelor’s in Civil Engineering from Hebei Normal University of Science & Technology (2005–2009) 🏗️. With a strong foundation in structural engineering, Dr. Yan focuses on innovative research, contributing to advancements in civil infrastructure and environmental sustainability 🌱🔬.

Experience

Dr. Chen Yan has been a dedicated Lecturer at Shantou Polytechnic, Guangdong, China, since July 2013 📚. She teaches courses like “G101 Flat Method Drawing and Detail Application” and “Building Mechanics and Structure” 🏗️. As a first advisor, she guided students to win prestigious awards, including the Grand Award and “Excellent Advisor Award” at the 15th “Challenge Cup” in 2019 🏆. She also mentored projects under the “Climbing Plan” and secured Innovation Awards in entrepreneurship competitions 💡. Earlier, she served as Assistant Project Manager at Dongguan Fuying Real Estate Co., Ltd. (2009–2010), assisting with construction applications 🏢.

Awards

Dr. Chen Yan 🏅 was honored with the title of “Shantou Youth Skilled Expert” for the 2020-2021 period in recognition of exceptional expertise and contributions. In July 2023, Dr. Yan successfully presided over the application for the “Off-campus Practical Teaching Demonstration Base for Engineering Cost Major” in collaboration with Jichuanying Ancient Building Construction Co., Ltd. 🏗️ This initiative received official certification from the Guangdong Provincial Department of Education 🎓, highlighting Dr. Yan’s dedication to enhancing practical teaching and promoting academic-industry integration. 🌟

Research Interests

Dr. Chen Yan specializes in foamed concrete modification research 🧪🏗️, focusing on enhancing the performance of cementitious materials. His work includes the analysis of micro-properties of these materials 🔬, providing insights into their structural behavior. He also utilizes numerical simulation techniques 💻 to predict and optimize the performance of cementitious composites. Dr. Yan’s research extends to innovative geopolymer materials 🌍, promoting eco-friendly construction solutions. Additionally, he is dedicated to advancing building energy efficiency and sustainability 🌱🏢, contributing to greener and more energy-efficient architectural designs. His multidisciplinary approach drives innovation in modern construction technologies. 🚀

Project Leadership

Dr. Chen Yan’s research focuses on material performance improvement and vocational education strategies. 🧪🔬 In the field of materials science, Dr. Chen explores innovative techniques to enhance material durability, efficiency, and sustainability, contributing to advancements in industrial applications. ⚙️🌍 Simultaneously, Dr. Chen is dedicated to improving vocational education, developing strategies to align technical skills with evolving industry demands. 🎓📚 His work bridges the gap between scientific innovation and practical workforce development, ensuring that both materials and human resources achieve optimal performance. 🚀🤝 Through government-funded projects, Dr. Chen fosters growth in both technology and education sectors. 💼🔍

Research Focus

Dr. Chen Yan’s research focuses on materials science and civil engineering 🏗️🔬. Specializing in the preparation and properties of wollastonite-microfiber-modified foamed concrete 🧪🧱, Dr. Yan explores advanced construction materials to enhance mechanical strength, durability, and thermal insulation 🌡️⚡. The work emphasizes optimizing foamed concrete with wollastonite microfibers to improve structural performance, lightweight applications, and eco-efficiency 🌍♻️. This research contributes significantly to sustainable building technologies, offering innovative solutions for modern construction projects 🏢🚀. Dr. Yan’s studies bridge the gap between material innovation and real-world construction needs, promoting resilience and sustainability in infrastructure development 🌆🏞️.

Publication Top Notes

Preparation and properties of wollastonite-microfiber-modified foamed concrete

Agnese Rapposelli | Energy and Sustainability | Best Researcher Award

Posted on 10/07/202410/07/2024 by Research Hypothesis

Agnese Rapposelli | Energy and Sustainability | Best Researcher Award

Prof Agnese Rapposelli, University “G. D’Annunzio” of Chieti-Pescara, Italy

Dr. Agnese Rapposelli is a Senior Assistant Professor of Economic Statistics at “G. d’Annunzio” University of Chieti-Pescara, Italy, since November 2021. She holds a Ph.D. in Statistics from the same university and achieved National Scientific Qualification as Associate Professor in 2017. Her research focuses on dynamic methodologies for evaluating complex systems, statistical models for spatial analysis, and the impact of environmental pollution on health 🌍📊. Dr. Rapposelli has also been a visiting scholar at Warwick Business School and holds professional qualifications as a chartered accountant and accounting auditor.

Publication profile

google scholar

Education

🎓 Achieving academic excellence, I earned a Ph.D. in Statistics from “G. d’Annunzio” University of Chieti-Pescara, Italy, with a thesis on efficiency evaluation and Data Envelopment Analysis under Prof. Mauro Coli’s guidance in April 2006. I previously completed a Laurea in Economics, summa cum laude, at the same university in July 2002, finishing in 3.5 years instead of 4. My high school journey culminated in a Scientific Lyceum diploma with a focus on lab courses and languages (French/English), scoring 54/60 in July 1998. Professionally, I am a certified Chartered Accountant since November 2012 and an Accounting Auditor since January 2014. 📊📚✈️

Experience

Dr. Agnese Rapposelli has been a dedicated lecturer at “G. D’Annunzio” University of Chieti-Pescara, Italy. Since 2013, they have taught courses in Statistics, Econometrics, and Quantitative Methods, all held in English. 📊 From 2019-2024, Dr. [Name] taught Statistics and Basic Econometrics for the PhD in Accounting, Management, and Business Economics program. 📈 In 2014-2015, they lectured on Quantitative and Qualitative Methods in Management and Business Administration. 📚 Additionally, in 2013-2014, they focused on Econometric Methods in Finance and Business Administration. 📉 Their commitment to education and expertise in these fields have made them a valuable asset to the university. 🎓

Research project

From 2024-2025, I serve as Principal Investigator for the University of Chieti-Pescara’s PRIN 2022 PNRR project on the circular economy through the lens of mathematics for signal processing 🔍🔄. In 2022, I investigated statistical models for spatial analysis 📊🌍, and in 2021, I focused on spatial-temporal models to examine environmental pollution’s impact on human health 🌿🧬. From 2020 to 2019, my research analyzed corporate governance and financial performance 📈🏢. Earlier, from 2007-2013, I participated in evaluating complex systems 🧩. In 2007-2008, I evaluated airline efficiency ✈️, and in 2002-2003, I worked on strategic planning and performance measurement for Air One SpA 📉📊.

Awards

From 2024-2025, I served as the Principal Investigator for the PRIN 2022 PNRR research project “Circular Economy from the Mathematics for Signal Processing Perspective” at the University of Chieti-Pescara. I received the Best ItAIS Conference Paper award for my study on carbon emissions and economic growth, presented in 2022. My work on waste sector efficiency earned special mentions at international workshops in 2021 and 2022. I also won the Best Track Award in 2021. In 2020 and 2019, I was ranked first in my department for MIUR research funds based on scientific production. 📊🌍🏆

Research focus

A Rapposelli’s research focuses primarily on environmental efficiency and waste management, as well as the inclusion of disabled individuals in the labor market. His work involves evaluating the joint environmental and cost performance of municipal waste systems, the impact of green technology and environmental policies on ecological footprints, and the efficiency of urban waste services. Additionally, Rapposelli has conducted significant research on the employment of disabled people in Italy, analyzing the effectiveness of laws and policies aimed at their inclusion. His studies employ methods such as data envelopment analysis to assess efficiency and policy implications. 🌍♻️👨‍🦽📊