Anas Abdelrahman | Engineering and Technology | Best Researcher Award

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.

Eduardo Garcia Magraner | Engineering and Technology | Best Researcher Award

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