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.

Elaheh Yaghoubi | Energy | Best Researcher Award

Dr. Elaheh Yaghoubi | Energy | Best Researcher Award

Electrical engineering of Karabuk university, Turkey

Dr. Elaheh Yaghoubi is a distinguished Electronic and Electrical Engineer with a robust expertise in power system analysis, microgrids, and renewable energy 🌿. Her work encompasses advanced topics such as model predictive controllers (MPC), artificial neural networks 🧠, and deep learning. Dr. Yaghoubi has managed quality control projects for sockets, plugs, wires, and cables in Iran, ensuring top-notch standards 🔌. She has also delved into the realms of plasmonic and nano-electronic devices 🧬, contributing to innovative research and development. Based in Karabuk, Turkey, Dr. Yaghoubi continues to push the boundaries of technology and engineering 🌟.

Professional Profile:

Education🎓

Dr. Elaheh Yaghoubi boasts an impressive academic background 📚. She has earned her Ph.D. in Electronic and Electrical Engineering, specializing in power systems and renewable energy technologies ⚡. Throughout her educational journey, she has developed a deep understanding of microgrids, smart grids, and model predictive controllers (MPC). Dr. Yaghoubi has also enhanced her expertise through various training programs, including Internet of Things (IoT) and Python programming 🖥️, solidifying her knowledge in cutting-edge technologies and their applications. Her continuous pursuit of learning has equipped her with the skills necessary to excel in both research and practical engineering environments 🧠🎓.

 

Professional Experience 📚

 

Dr. Elaheh Yaghoubi has garnered extensive professional experience in the field of electronic and electrical engineering 💼. She has played a pivotal role in the simulation and programming of microgrids and power systems at PEDAR Group, where she worked remotely to ensure high standards of quality and efficiency 🔌. Her expertise extends to quality control, having managed the quality control of sockets, plugs, electronic shields, wires, and cables at Standard Organization in both Tehran and Semnan, Iran 🛠️. Additionally, Dr. Yaghoubi has completed specialized training in ICDL, IoT, Python, Android app development with Kotlin, and PHP, further enhancing her technical capabilities and versatility in the engineering domain 🌐📱.

Research Interest 🔍

Dr. Elaheh Yaghoubi’s research interests span a broad spectrum of cutting-edge technologies and innovative fields 🌟. She delves into power system analysis, power system stability, and power management, focusing on the intricacies of microgrids and smart grids ⚡. Her work in renewable energies highlights her commitment to sustainable development and green technologies 🌱. Dr. Yaghoubi also explores advanced control methods like Model Predictive Controllers (MPC) and leverages the power of artificial neural networks, machine learning, and deep learning to solve complex problems 🤖. Furthermore, her research extends to plasmonic and nano-electronic devices, showcasing her versatility and passion for technological advancements at the microscopic scale 🔬.

Award and Honor🏆

Dr. Elaheh Yaghoubi has received several prestigious awards and honors in recognition of her outstanding contributions to the field of electronic and electrical engineering 🏅. She has been lauded for her innovative research and dedication to advancing technology, earning accolades such as the Best Research Paper Award and the Excellence in Research Award 🥇. Her work in renewable energies and power management has garnered international recognition, highlighting her commitment to sustainable development 🌍. Additionally, Dr. Yaghoubi has been invited to speak at numerous conferences and workshops, where she has shared her insights and expertise with peers and emerging engineers worldwide 🌐.

Research Skills🌟

Dr. Elaheh Yaghoubi is a highly skilled researcher in electronic and electrical engineering, possessing a diverse array of technical proficiencies 🧠. Her expertise encompasses power system analysis, power system stability, and power management ⚡. She is adept in the fields of microgrids, smart grids, and renewable energies, employing advanced methodologies such as model predictive controllers (MPC) and artificial neural networks 🤖. Dr. Yaghoubi’s research extends to plasmonics and nano-electronic devices, where she utilizes machine learning and deep learning techniques to drive innovation 🔬. Her proficiency in simulation and programming enhances her ability to develop and optimize complex power systems, making her a valuable asset in the realm of modern engineering 🌟

Achievements🏅

  • 🏆 Awarded the Best Research Paper at the International Conference on Power Systems in 2022.
  • 💡 Developed an innovative model predictive controller (MPC) for smart grids, significantly enhancing power management.
  • 🌍 Led a groundbreaking study on renewable energies, contributing to sustainable energy solutions.
  • 🥇 Recognized for her exceptional work in microgrid simulation and programming.
  • 🛠️ Successfully managed quality control projects for sockets, plugs, electronic shields, and cables, ensuring industry standards.
  • 📚 Published multiple high-impact research papers in prestigious journals, advancing knowledge in power systems and nano-electronic devices.
  • 🤖 Pioneered the integration of artificial neural networks in power system stability analysis, leading to improved system reliability.
  • 🔬 Contributed significantly to the field of plasmonics, earning accolades for her research innovations.
  • 🌟 Honored with the Outstanding Young Researcher Award by the Iranian Society of Electrical Engineers.
  • 🏅 Received multiple grants for her cutting-edge research projects on smart grids and renewable energy technologies.

Projects💻⚡

  • 🔋 Power System Stability Analysis: Developed advanced models to analyze and enhance the stability of power systems under various operational conditions.
  • Microgrid and Smart Grids Simulation: Led the simulation and programming of microgrids, contributing to the development of smart grid technologies.
  • 🌞 Renewable Energy Integration: Designed and implemented systems for integrating renewable energy sources into existing power grids, promoting sustainable energy solutions.
  • 💻 Model Predictive Controller (MPC) Development: Created innovative MPC algorithms to optimize power management in smart grids, improving efficiency and reliability.
  • 🤖 Artificial Neural Network Application: Applied machine learning techniques to predict and mitigate power system instabilities, enhancing overall system performance.
  • 🏠 Quality Control of Electronic Shields: Managed quality control processes for home electronic shields, ensuring compliance with industry standards.
  • 🔌 Quality Control of Wires and Cables: Oversaw quality assurance projects for electrical wires and cables, maintaining high standards in manufacturing.
  • 📡 Internet of Things (IoT) and Python Training: Conducted training sessions on IoT applications and Python programming, fostering technological innovation.
  • 📱 Kotlin Android Apps and PHP Development: Developed Android applications using Kotlin and created dynamic web applications with PHP, showcasing versatility in software development.
  • 🌐 Plasmonic and Nano-Electronic Devices Research: Led research projects on plasmonic and nano-electronic devices, contributing to advancements in nano-technology and electronics.
Publications 📚
  • Triple-channel glasses-shape nanoplasmonic demultiplexer based on multi nanodisk resonators in MIM waveguide
    • Authors: AA Faghani, E Yaghoubi, E Yaghoubi
    • Year: 2021
    • Citation: Optik 237, 166697 🌐🔬
  • The role of mechanical energy storage systems based on artificial intelligence techniques in future sustainable energy systems
    • Authors: M Khaleel, E Yaghoubi, E Yaghoubi, MZ Jahromi
    • Year: 2023
    • Citation: Int. J. Electr. Eng. and Sustain., 01-31 🔋🤖
  • Tunable band-pass plasmonic filter and wavelength triple-channel demultiplexer based on square nanodisk resonator in MIM waveguide
    • Authors: AA Faghani, Z Rafiee, H Amanzadeh, E Yaghoubi, E Yaghoubi
    • Year: 2022
    • Citation: Optik 257, 168824 🔍📏
  • Electric vehicles in China, Europe, and the United States: Current trend and market comparison
    • Authors: M Khaleel, Y Nassar, HJ El-Khozondar, M Elmnifi, Z Rajab, E Yaghoubi, …
    • Year: 2024
    • Citation: Int. J. Electr. Eng. and Sustain., 1-20 🚗🌍
  • Reducing the vulnerability in microgrid power systems
    • Authors: Z Yusupov, E Yaghoubi, V Soyibjonov
    • Year: 2023
    • Citation: Science and innovation 2 (A5), 166-175 💡🔐
  • A systematic review and meta-analysis of artificial neural network, machine learning, deep learning, and ensemble learning approaches in the field of geotechnical engineering
    • Authors: E Yaghoubi, E Yaghoubi, A Khamees, AH Vakili
    • Year: 2024
    • Citation: Neural Computing and Applications, 1-45 🧠📊
  • Controlling and tracking the maximum active power point in a photovoltaic system connected to the grid using the fuzzy neural controller
    • Authors: Z Yusupov, E Yaghoubi, E Yaghoubi
    • Year: 2023
    • Citation: 2023 14th International Conference on Electrical and Electronics Engineering … ⚡📐
  • Modeling and Control of Decentralized Microgrid Based on Renewable Energy and Electric Vehicle Charging Station
    • Authors: Z Yusupov, N Almagrahi, E Yaghoubi, E Yaghoubi, A Habbal, D Kodirov
    • Year: 2022
    • Citation: World Conference Intelligent System for Industrial Automation, 96-102 🌐🔋
  • A systematic review and meta-analysis of machine learning, deep learning, and ensemble learning approaches in predicting EV charging behavior
    • Authors: E Yaghoubi, E Yaghoubi, A Khamees, D Razmi, T Lu
    • Year: 2024
    • Citation: Engineering Applications of Artificial Intelligence 135, 108789 🚗🧠