Assist. Prof. Dr. Guillermo Escrivá-Escrivá | Energy | Academic and Industrial Synergy Award

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Assist. Prof. Dr. Guillermo Escrivá-Escrivá | Energy | Academic and Industrial Synergy Award

Universitat Politècnica de València, Spain.

Guillermo Escrivá-Escrivá is a distinguished professor in the Electrical Engineering Department at the Universitat Politècnica de València (UPV), Spain. He earned his Ph.D. in Industrial Engineering from UPV in 2009 and has been a faculty member since 2005. His research focuses on energy efficiency, renewable energies, and power system quality. Prior to his academic career, he worked as a facilities engineer in a major construction company from 2000 to 2005. Throughout his tenure at UPV, Professor Escrivá-Escrivá has collaborated on numerous national and European projects, contributing significantly to advancements in electrical engineering.

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Education 🎓

Guillermo Escrivá-Escrivá earned his Ph.D. in Industrial Engineering from the Universitat Politècnica de València (UPV) in 2009, where he also completed his undergraduate degree as an Ingeniero Industrial in 1999. His doctoral work laid the foundation for his long-term research into energy efficiency and power system quality, areas in which he has since become a recognized expert.​

Experience 🏫

Professor Escrivá-Escrivá has been a faculty member at the Universitat Politècnica de València (UPV) since 2005, rising through the academic ranks to his current position as Profesor Titular de Universidad (Associate Professor) in 2016. Prior to that, he served as Profesor Contratado Doctor (2011–2016), Profesor Ayudante Doctor (2010–2011), and Ayudante (2007–2010). He began his academic career as a Profesor Asociado in 2005. Before transitioning into academia, he gained industrial experience as a Facilities Engineer in a major construction company from 2000 to 2005, where he was involved in large-scale engineering projects. This combination of practical field experience and academic depth has significantly shaped his approach to research and teaching.

Research Interests 🔬

Energy Efficiency: Developing strategies to optimize energy consumption in various sectors.​

Renewable Energies: Integrating sustainable energy sources into existing power systems.​

Power System Quality: Enhancing the reliability and performance of electrical power systems.

Achievements & Contributions 🌟

Organized and delivered the technical workshop “Diseño de sistemas de climatización con aplicación de geotermia y carga virtual para la reducción de emisiones de CO₂” at the Colegio Aparejadores de Murcia.

Authored a technical article on sympathetic tripping in differential protections in industrial and commercial electrical systems.

Serves as an Advisory Board Member for Cambridge Scholars Publishing since 2018, contributing to editorial oversight and scientific quality.

Participated in the DERD Project, focused on the creation of an R&D laboratory for the optimized management of demand and distributed energy resources.

Selected ​​Publications 📚

🔋 Hybrid Energy Solutions for Rural Areas

Title: Hybrid Energy Solutions for Enhancing Rural Power Reliability in the Spanish Municipality of Aras de los Olmos
Journal: Applied Sciences (2025-03-30)
DOI: 10.3390/app15073790
Highlights:

Focuses on rural electrification and improving reliability using hybrid renewable systems.

Real-world case study in Aras de los Olmos, Spain.

Likely involves solar, wind, and storage integration.

🛠️ Fault Diagnosis in Electrical Machines

Title: Optimizing Bearing Fault Diagnosis in Rotating Electrical Machines Using Deep Learning and Frequency Domain Features
Journal: Applied Sciences (2025-03-13)
DOI: 10.3390/app15063132
Highlights:

Uses deep learning models and spectral analysis for predictive maintenance.

Enhances diagnostics accuracy for rotating electrical equipment.

♻️ Sustainable Biogas Integration

Title: Strategic Resource Planning for Sustainable Biogas Integration in Hybrid Renewable Energy Systems
Journal: Applied Sciences (2025-01-10)
DOI: 10.3390/app15020642
Highlights:

Addresses planning and modeling for incorporating biogas in hybrid systems.

Focuses on sustainability and energy resource optimization.

🏥 Fiber Optics for Electrical Monitoring in Hospitals

Title: Intelligent Residual Current Monitor Application in Hospital With Fiber Optics Using Wavelength Division Multiplexing
Journal: IEEE Access (2024)
DOI: 10.1109/ACCESS.2024.3494055
Highlights:

Innovates electrical safety with intelligent monitoring via fiber optics.

Applicable in sensitive environments like hospitals.

Uses WDM technology to multiplex signals.

⚙️ Multi-objective Optimization of Rural Microgrids

Title: Optimal sizing and design of renewable power plants in rural microgrids using multi-objective particle swarm optimization and branch and bound methods
Journal: Energy (2023-12)
DOI: 10.1016/j.energy.2023.129318
Highlights:

Applies PSO and branch-and-bound algorithms for system design.

Supports decision-making for renewable microgrids in rural setups.

Balances cost, emissions, and energy reliability.

 

 

 

Assoc. Prof. Dr. Li Wang | Environmental Clean-up | Best Researcher Award

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Assoc. Prof. Dr. Li Wang | Environmental Clean-up | Best Researcher Award

Dalian Maritime University, China.

Prof. Li Wang is an Associate Professor at Dalian Maritime University (DMU) and Head of the Plasma and Catalysis Research Group (PCRG). He holds an M.Sc. in Chemical Engineering and a Ph.D. in Catalytic Chemistry from Dalian University of Technology (DUT). After gaining research experience at DUT, he completed a postdoctoral fellowship at the University of Liverpool. Recognized for his contributions, he was awarded the Outstanding Young Scientist of LiaoNing Revitalization Talents (2020) and named among the World’s Top 2% Scientists (2024) by Stanford University. His research focuses on plasma-assisted catalysis, C1 chemistry, and environmental cleanup.

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🎓 Education

Prof. Li Wang holds a Ph.D. in Catalytic Chemistry from Dalian University of Technology (DUT), where he specialized in developing advanced catalytic processes for sustainable energy and environmental applications. Prior to his doctoral studies, he earned an M.Sc. in Chemical Engineering from DUT, gaining a strong foundation in chemical process engineering and materials science. His academic background has equipped him with expertise in plasma-assisted catalysis, C1 chemistry, and environmental clean-up technologies, contributing to innovative research in fuel production and emission control.

💼 Experience

Prof. Li Wang is currently an Associate Professor at Dalian Maritime University (DMU), a position he has held since 2018. He also leads the Plasma and Catalysis Research Group (PCRG), where he spearheads innovative research in plasma-assisted catalysis and environmental clean-up technologies. Before joining DMU, he gained international research experience as a Postdoctoral Researcher at the University of Liverpool, focusing on catalytic chemistry and sustainable energy applications. Prior to that, he worked as a Researcher at Dalian University of Technology (DUT), where he contributed to advancements in chemical engineering and materials science.

🔬 Research Interests

Carbon Conversion & C1 Chemistry (CH₄ & CO₂ conversion, methanol synthesis)

Plasma-Assisted Catalysis (Advanced materials for fuel production & emission control)

Environmental Cleanup (CO₂/NOₓ capture, NOₓ reduction)

Adsorbent Technologies (NOₓ adsorption, industrial pollution control)

🏆 Awards & Recognitions

Outstanding Young Scientist, LiaoNing Revitalization Talents (2020)

World’s Top 2% Scientists (2024) – Recognized by Stanford University (John P.A. Ioannidis)

📚 Selected Publications

Recent Progresses of Plasma-Catalytic CH₄/CO₂ Conversion to Oxygenates: A Short Review

📖 Journal: Current Opinion in Green and Sustainable Chemistry
📅 Publication Date: February 2025
👥 Contributors: Li Wang, Qingxi Yin, Xiaohan Zhai, Yanhui Yi

Plasma-Catalytic One-Step Steam Reforming of CH₄ to CH₃OH and H₂ Promoted by Oligomerized [Cu–O–Cu] Species on Zeolites

📖 Journal: Green Chemistry
📅 Publication Date: 2024
👥 Contributors: Wei Fang, Ximiao Wang, Shangkun Li, Yingzi Hao, Yuping Yang, Wenping Zhao, Rui Liu, Dongxing Li, Chuang Li, Xiaoxia Gao et al.

Tuning Selectivity of Acetic Acid and Alcohols by Brønsted and Lewis Acid Sites in Plasma-Catalytic CH₄/CO₂ Conversion over Zeolites

📖 Journal: Applied Catalysis B: Environment and Energy
📅 Publication Date: August 2024
👥 Contributors: Li Wang, Linhui Fan, Yuezhao Wang, Qian Chen, Yimin Zhu, Yanhui Yi

Plasma-Catalytic CO₂ Hydrogenation to Methanol over CuO-MgO/Beta Catalyst with High Selectivity

📖 Journal: Applied Catalysis B: Environmental
📅 Publication Date: March 2024
👥 Contributors: Qian Chen, Shengyan Meng, Rui Liu, Xiaohan Zhai, Xinkui Wang, Li Wang, Hongchen Guo, Yanhui Yi

Direct Conversion of CH₄ and CO₂ to Alcohols Using Plasma Catalysis over Cu/Al(OH)₃ Catalysts

📖 Journal: Chemical Engineering Journal
📅 Publication Date: June 2023
👥 Contributors: Li Wang, Yuezhao Wang, Linhui Fan, Hongli Xu, Bowen Liu, Jiaren Zhang, Yimin Zhu, Xin Tu

 

 

 

Ms. Jiaxin Hao | Environmental Economics | Best Researcher Award

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Ms. Jiaxin Hao | Environmental Economics | Best Researcher Award

Northwest University, China

Ms. Jiaxin Hao is an accomplished researcher with expertise in environmental economics and energy efficiency. Her work focuses on analyzing regional disparities in resource and environmental levels, energy footprints, and the economic benefits of green initiatives. Recognized for her academic excellence and impactful research, Ms. Hao has published extensively in prestigious CSSCI journals and has been honored with multiple national and institutional awards.

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Education 🎓

Ms. Jiaxin Hao holds a robust academic foundation in finance and economics, beginning with her Bachelor’s degree from Inner Mongolia University of Finance and Economics (2014–2018). She further honed her expertise during her Master’s studies at Xi'an University of Finance and Economics (2018–2021), where she delved into advanced topics in environmental and economic systems. Currently, she is pursuing her doctoral studies at Northwestern University (2021–present), focusing on innovative research areas such as energy efficiency, ecological economics, and sustainable development policies.

Experience 💼

Ms. Jiaxin Hao has a strong academic background supported by significant research contributions during her graduate and doctoral studies. She has led and participated in major projects, including national statistical research and studies funded by the Graduate Innovation Fund. Her expertise spans spatial heterogeneity, energy efficiency, and ecological economics.

Research Interests 🔍

Regional Resource and Environmental Management 🌱

Ms. Jiaxin Hao's research emphasizes understanding and addressing disparities in resource utilization and environmental sustainability across different regions. Her work seeks to create actionable frameworks for managing resources efficiently while minimizing ecological impacts.

Energy Efficiency and Ecological Footprint Analysis ⚡

A key focus of Ms. Hao's research is analyzing energy efficiency and ecological footprints at regional and national levels. She employs advanced statistical techniques to measure and interpret energy usage patterns, aiming to promote sustainable energy policies.

Sustainable Economic Development and Green Mining Initiatives 🌍

Ms. Hao is committed to exploring strategies that integrate economic growth with environmental preservation. Her studies on green mining demonstrate how reducing pollution and carbon emissions can yield dual benefits for both economic and ecological systems.

Policy Evaluation Related to the Belt and Road Initiative 🌐

Ms. Hao’s work critically evaluates the impacts of the Belt and Road Initiative, particularly on energy efficiency and regional economic integration. Her findings provide insights into how large-scale policies can influence sustainability and resource management across participating regions.

Awards and Honors 🏅

China National Scholarship: Recognition of outstanding academic performance.

First Prize: 2019 Third Western Energy Economy and Regional Development Academic Conference.

Third Prize: 2020 Fourth Western Energy Economy and Regional Development Academic Conference.

Outstanding Graduate: Xi'an University of Finance and Economics.

"Three Good Students" Title: Multiple school-level accolades for academic excellence and contributions.

Publication 📚

Research on a Multidimensional Dynamic Environmental Assessment: Based on the PSR Analysis Framework and Bootstrap-DEA Model, in the Yellow River Basin, China, Journal: Land, Publication Date: December 2024

Contributors: Jiaxin Hao, Yan Zhang, Lihong Guo. Link

 

 

 

 

Shaik Kiran | Renewable Energy | Excellence in Research

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🌟Dr. Shaik Kiran, Renewable Energy, Excellence in Research🏆

 Doctorate at SRI VENKATESWARA COLLEGE OF ENGINEERING (AUTONOMOUS), India

Dr. Shaik Rafi Kiran is a distinguished professor in the Department of Electrical and Electronics Engineering (EEE) at SVCE, Tirupathi. With a robust career spanning over 23 years, he is known for his significant contributions to research and academia, particularly in the fields of PV systems, fuel cell modeling, and hybrid electric vehicles. Dr. Kiran is also an active member of several professional organizations, including IEEE and ISTE, and serves as a recognized Ph.D. supervisor at J.N.T. University, Anantapur.

Author Metrics

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ORCID Profile

Google Scholar Profile

Dr. Kiran has a substantial academic footprint with numerous publications in high-impact journals and conferences. He has published 35 documents and holds 9 patents. His work has garnered 775 citations, resulting in an h-index of 17, reflecting the quality and impact of his research contributions.

Education

Dr. Kiran earned his Ph.D. from J.N.T.U.A, Ananthapuramu in December 2014. He completed his M.Tech in Control Systems from J.N.T. University, Anantapur, graduating with a 75% distinction. He holds a B.E. in Electrical and Electronics Engineering from Bangalore University, where he achieved a 67% score. Prior to his engineering education, he completed his Intermediate studies with a 77% score and his S.S.C. with an 86% score.

Research Focus

Dr. Kiran’s research interests lie primarily in PV systems, fuel cell modeling, hybrid electric vehicles, soft computing, and optimization techniques. His work often involves designing and optimizing MPPT controllers for renewable energy systems, analyzing the performance of fuel cells in electric vehicles, and developing advanced algorithms for energy management and storage solutions.

Professional Journey

Dr. Kiran began his academic career as a lecturer and steadily advanced to his current position as a professor at SVCE, Tirupathi. His professional journey is marked by continuous learning and a commitment to excellence, reflected in his extensive teaching experience and active participation in professional organizations. He has been a professor at SVCE since April 11, 2016, where he continues to inspire and mentor students and colleagues.

Honors & Awards

Dr. Kiran has received several accolades for his research and professional achievements. Notably, he was honored with the Researcher Award from PARA Awards 2023, Pondicherry, and was recognized as an Emerging Leader in Engineering by the Venus International Foundation in 2018. These awards underscore his contributions to engineering education and research.

Publications Noted & Contributions

Dr. Kiran has authored numerous high-impact publications. Some notable ones include articles in Scientific Reports (Nature) and Elsevier’s Materials Today: Proceedings. His research often addresses innovative solutions for renewable energy systems, including the design of MPPT controllers and high step-up power converters for fuel cell applications. His publications reflect a strong focus on advancing technology in the energy sector.

Application of LoRa Network for Data Transmission in Intelligent Smart Grid Systems (2024)

DOI: 10.1007/978-981-99-7622-5_9 Contributors: K. Soham, V. Dhaval, C. Dhanamjayulu, Shaik Rafikiran, C. H. Hussaian Basha, V. Prashanth

Summary:

This book chapter discusses the application of Low Power Wide Area Network (LoRa) technology in smart grid systems. LoRa offers long-range communication with low power consumption, making it suitable for transmitting data in smart grid environments. The chapter details the integration of LoRa with intelligent systems to enhance data transmission efficiency, reliability, and overall grid performance.

A Novel Hybrid MPPT Controller for PEMFC Fed High Step-Up Single Switch DC-DC Converter (2024-03-12)

DOI: 10.1155/2024/9196747 Contributors: Shaik Rafikiran, C. H. Hussaian Basha, C. Dhanamjayulu, Youcef Belkhier

Summary:

This journal article presents a novel hybrid Maximum Power Point Tracking (MPPT) controller for Proton Exchange Membrane Fuel Cells (PEMFC) feeding a high step-up single switch DC-DC converter. The hybrid MPPT controller improves the efficiency of power conversion by optimizing the energy extraction from PEMFCs. The proposed system aims to address the challenges of high step-up voltage requirements in renewable energy applications.

Design and Analysis of Genetic Algorithm Optimization-Based ANFIS Controller for Interleaved DC-DC Converter-Fed PEMFC System (2023)

DOI: 10.1007/978-981-19-9225-4_1 Contributors: CH Hussaian Basha, Shaik. Rafikiran, M. Narule, G. Devadasu, B. Srinivasa Varma, S. Naikawadi, A. Kambire, H. B. Kolekar

Summary:

This book chapter explores the design and analysis of an Adaptive Neuro-Fuzzy Inference System (ANFIS) controller optimized using a genetic algorithm for an interleaved DC-DC converter fed by a PEMFC system. The combination of ANFIS and genetic algorithms aims to enhance the control performance and efficiency of the power conversion system, providing a robust solution for managing PEMFC outputs.

IoT Application on Home Automation with Smart Meter (2023)

DOI: 10.1007/978-981-99-4577-1_43 Contributors: M. D. Sastika, Shaik. Rafikiran, K. Manaswi, C. Dhanamjayulu, CH Hussaian Basha, V. Prashanth

Summary:

This book chapter examines the application of Internet of Things (IoT) technology in home automation systems, focusing on smart meters. The integration of IoT with smart meters allows for real-time monitoring, data collection, and analysis of energy consumption. The chapter discusses the potential of these systems to optimize energy usage, reduce costs, and enhance the convenience and security of home environments.

Performance Analysis of Satellite Image Classification Using Deep Learning Neural Network (2023)

DOI: 10.1007/978-981-99-1431-9_3 Contributors: CH Hussaian Basha, J. Prajakta, V. Prashanth, Shaik Rafikiran, V. S. Patil, B. Srinivasa Varma, S. P. Shweta

Summary:

This book chapter focuses on the classification of satellite images using deep learning neural networks. The performance analysis involves evaluating different neural network architectures and training methods to improve classification accuracy. The study demonstrates the effectiveness of deep learning techniques in processing and analyzing satellite imagery, with applications in environmental monitoring, urban planning, and disaster management.

Relevance:

Each of these works contributes significantly to their respective fields. The application of LoRa in smart grids and IoT in home automation shows the integration of modern communication technologies in energy systems. The novel MPPT controllers and optimization techniques for PEMFC systems advance renewable energy technologies. Finally, the use of deep learning for satellite image classification highlights the impact of artificial intelligence in remote sensing and data analysis.

These contributions reflect ongoing efforts to innovate and improve efficiency, reliability, and functionality in various technological and scientific domains.

Research Timeline

Dr. Kiran’s research timeline showcases a consistent output of high-quality work. Since 2021, he has published several influential papers annually, contributing to advancements in renewable energy and electric vehicle technology. His recent work includes significant papers published in 2023 and 2024, emphasizing hybrid optimization MPPT controllers and high step-up power converters for fuel cell systems.

Collaborations and Projects

Throughout his career, Dr. Kiran has collaborated with various academic and research institutions. He has guided numerous M.Tech and B.Tech projects, with a focus on practical applications of his research in PV systems and fuel cells. He is currently guiding a Ph.D. scholar on a project related to power loss minimization in electrical distribution networks. Dr. Kiran’s collaborative projects often involve interdisciplinary approaches, combining expertise in electrical engineering, optimization techniques, and renewable energy systems.

Contributions to the Field

Dr. Kiran’s contributions to the field of electrical engineering are significant. His research has led to the development of innovative solutions for improving the efficiency and performance of renewable energy systems. His work on MPPT controllers and fuel cell modeling has been widely recognized and cited, influencing both academic research and practical applications in the energy sector. Through his publications, patents, and guided projects, Dr. Kiran continues to make impactful contributions to the advancement of sustainable energy technologies.