Lijia Fang | Ammonia Combustion | Best Researcher Award

Mr. Lijia Fang | Ammonia Combustion | Best Researcher Award

Mr. Lijia Fang | Sophia University | Japan

Mr. Lijia Fang is a Ph.D. student in the Department of Science and Engineering at Sophia University, Japan, specializing in AI-driven combustion control and sustainable fuel systems. His research integrates artificial intelligence with combustion engineering to optimize fuel efficiency and minimize emissions. Currently, his work focuses on exploring the synergies between ammonia and ethanol fuels to enhance clean combustion performance and significantly reduce nitrogen oxide emissions. He has completed a major research project titled “Influence of Pre-Chamber Nozzle and Main Chamber Geometry on Ammonia Combustion: A Combined Experimental and Predictive Study” and has published two research papers, including one under review in Applied Thermal Engineering and another published in Energies (2024). His studies employ machine learning algorithms to predict in-cylinder combustion pressure and validate ammonia–oxygen combustion models in constant-volume chambers. Mr. Fang has contributed to seven patents, demonstrating his strong involvement in practical innovation, particularly in electronic systems and control circuits. His research aims to accelerate the transition toward low-carbon, high-efficiency combustion systems by integrating AI-based optimization methods with experimental validation. With 2 publications indexed and cited by 6 documents, he currently holds an h-index of 2, reflecting his emerging impact in the field of sustainable combustion and energy technologies. Through his interdisciplinary expertise in artificial intelligence, mechanical design, and environmental sustainability, Mr. Fang continues to advance cutting-edge research that supports the global pursuit of cleaner and more efficient energy solutions.

Profiles: Scopus | Orcid

Featured Publications

Fang, L., Singh, H., Ohashi, T., Sanno, M., Lin, G., Yilmaz, E., Ichiyanagi, M., & Suzuki, T. (2024). Effect of machine learning algorithms on prediction of in-cylinder combustion pressure of ammonia–oxygen in a constant-volume combustion chamber. Energies, 17(3), 746. https://doi.org/10.3390/en17030746

 

Guillermo Escriva-Escriva | Energy | Excellence in Research Award

Dr. Guillermo Escriva-Escriva | Energy | Excellence in Research Award

Dr. Guillermo Escriva-Escriva | Polytechnic University of Valencia | Spain

Dr. Guillermo Escriva-Escriva is a dedicated academic and researcher in the Department of Electrical Engineering at the Polytechnic University of Valencia. After completing his degree in Electrical Engineering at his alma mater, he gained valuable industry experience as an installation director in the construction sector. He later transitioned to academia, where he has established a strong presence through teaching and research. His career reflects a deep commitment to advancing energy efficiency and power systems. His path embodies a seamless blend of practical expertise and scholarly rigor, positioning him as a respected professor and mentor within his university community.

Profiles

Scopus
Orcid

Education

His educational journey began at the Polytechnic University of Valencia, where he earned his engineering degree and continued toward doctoral studies in Industrial Engineering. Over the course of his academic pursuit, he engaged in rigorous training in energy systems, power quality, and renewable energy integration. His doctoral work culminated in substantial contributions to the scientific community, especially in areas essential to sustainable energy and microgrid technology. This solid foundation of knowledge underpins his pedagogical and research endeavors and informs his innovative contributions to the field of electrical engineering.

Experience

Dr. Guillermo Escriva-Escriva brings a diverse background that spans both industry and academia. Early in his career, he applied his engineering expertise to managing installations within the construction industry, gaining firsthand experience in the practical challenges of power systems. Later he transitioned to academia at his home institution, where he has held various teaching positions and progressed through ranks to become a tenured professor. His roles have encompassed a wide range of responsibilities, including curriculum development, mentoring, and leadership in research projects. This blend of practical and academic experience enriches his teaching and informs his contributions to engineering education.

Research Interest

His primary research interests focus on energy efficiency, renewable energy integration, microgrid systems, and power system quality. He explores how distributed energy resources can be managed under varying conditions, optimizing both performance and reliability. An ongoing commitment to sustainable power solutions drives his involvement in developing energy hubs, hybrid systems combining biogas and photovoltaic generation, and intelligent monitoring tools for residual currents and anomaly detection in consumption. His work addresses real-world energy challenges, particularly for rural or decentralized communities, where resilient power management is critical.

Award

Dr. Guillermo contributions have garnered recognition in energy research and sustainable engineering innovation. His leadership in institutional projects and his pioneering efforts in integrating renewable energies into functional microgrid infrastructures reflect his forward-thinking vision. Colleagues and peers consistently commend his ability to translate complex theoretical models into impactful applications. His dedication extends beyond research; he advances educational practices and supports energy autonomy in communities. This blend of innovation, scholarship, and societal relevance makes him a distinguished nominee for recognition in engineering and sustainability.

Publication Top Notes

Hybrid Energy Solutions for Enhancing Rural Power Reliability in the Spanish Municipality of Aras de los Olmos

Journal: Applied Sciences
Authors: Pooriya Motevakel, Carlos Roldán-Blay, Carlos Roldán-Porta, Guillermo Escrivá-Escrivá, Daniel Dasí-Crespo

Optimizing Bearing Fault Diagnosis in Rotating Electrical Machines Using Deep Learning and Frequency Domain Features

Journal: Applied Sciences
Authors: Eduardo Quiles-Cucarella, Alejandro García-Bádenas, Ignacio Agustí-Mercader, Guillermo Escrivá-Escrivá

Strategic Resource Planning for Sustainable Biogas Integration in Hybrid Renewable Energy Systems

Journal: Applied Sciences
Authors: Pooriya Motevakel, Carlos Roldán-Blay, Carlos Roldán-Porta, Guillermo Escrivá-Escrivá, Daniel Dasí-Crespo

Intelligent Residual Current Monitor Application in Hospital With Fiber Optics Using Wavelength Division Multiplexing

Journal: IEEE Access
Authors: Erwin Sutanto, Guillermo Escrivá-Escrivá, Samian Samian, Hendra Kusuma, Tri Arief Sardjono

Optimal Sizing and Design of Renewable Power Plants in Rural Microgrids Using Multi-Objective Particle Swarm Optimization and Branch and Bound Methods

Journal: Energy
Authors: Carlos Roldán-Blay, Guillermo Escrivá-Escrivá, Carlos Roldán-Porta, Daniel Dasí-Crespo

Conclusion

Dr. Guillermo stands out as an academic leader whose work bridges theoretical research and practical engineering. With roots in both the classroom and the field, he has impacted sustainable energy systems through intelligent design, rigorous scholarship, and institutional leadership. His contributions to renewable integration, microgrid resilience, and educational excellence underscore his suitability for recognition. His commitment to creating replicable and socially relevant energy solutions confirms that he is a deserving candidate for this award nomination.

Milad Adelifar | Solar energy | Excellence in Research

Mr. Milad Adelifar | Solar energy | Excellence in Research

Research Scholar, K. N. Toosi University of Technology, Iran

Milad Adelifar is a highly motivated Mechanical Engineer with a strong academic background and a keen interest in renewable energy, CFD, and heat transfer analysis. He holds a Master of Science in Mechanical Engineering from K. N. Toosi University of Technology and is proficient in software such as COMSOL Multiphysics and Ansys Fluent. Milad is eager to contribute to innovative research and development projects and aims to continue his studies at the Ph.D. level.

Profile

Google Scholar

Education 🎓

Mr. Milad Adelifar earned a Master of Science in Mechanical Engineering with a focus on Energy from K. N. Toosi University of Technology, Tehran, Iran, completing the program from September 2020 to January 2023. Prior to this, Mr. Adelifar obtained a Bachelor of Science in Mechanical Engineering from Esfarayen University of Technology, Esfarayen, Iran, where he studied from September 2014 to January 2020.

Experience 💼

Mr. Milad Adelifar is currently working as a Mechanical Engineer specializing in Filtration Process Design at JDEVS Company in Tehran, Iran, a position he has held since April 2022.

Research Interests 🔬

Mr. Milad Adelifar’s research interests are centered on Renewable Energy, with a particular emphasis on Solar Energy. He is also deeply engaged in the fields of Computational Fluid Dynamics (CFD) and Heat Transfer Analysis. These areas of focus reflect his commitment to advancing sustainable energy solutions and his expertise in the complex dynamics of fluid behavior and thermal processes.

Publications 📚

Investigating and comparing the effect of angle of attack in two airfoil samples on pressure contours using Ansys Fluent software. Authors: Mohammad Hatami, Milad Adelifar. The 6th National Conference of Applied Researches in Electrical, Mechanical, and Mechatronics Engineering (2020), Iran. link

Investigating the power and efficiency of the 3D model of the concentrated photovoltaic thermoelectric hybrid system and estimating the power consumption of the water pump for cooling. Authors: Milad Adelifar, Cyrus Aghanajafi Energy (2024). link