Dr. Chawki Lahoud | Renewable Energy | Best Researcher Award

University of Balamand, Lebanon.

Dr. Chawki Lahoud is a renowned Lebanese academic and expert in Electrical and Energy Engineering. He currently serves as an Assistant Professor at the University of Balamand in Lebanon, specializing in mechanical and renewable energy systems. With a strong academic background and experience in energy management, he has significantly contributed to the renewable energy sector, particularly in Lebanon, through teaching, research, and project consultancy.

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🎓 Education

Chawki Lahoud earned his PhD in Electrical and Energy Engineering from Saint Joseph University (ESIB), Lebanon, in 2020. He also completed a Research Master's 2 in Renewable Energies in 2016, jointly from ESIB, USJ, and the Doctoral School of the Lebanese University, Lebanon. Prior to these advanced degrees, he obtained a Bachelor's in Mechanical Engineering from the Lebanese University, Faculty of Engineering 2, Roumieh, Lebanon, in 2012. These educational milestones have formed the foundation for his expertise in energy systems, renewable energies, and mechanical engineering.

🧑‍🏫 Teaching Experience

Chawki Lahoud has a diverse teaching background, starting in 2016. Currently, he serves as an Assistant Professor at the University of Balamand, where he teaches courses such as Fluid Mechanics, Internal Combustion Engines, and Mechanical Design 2. Prior to this, from 2020 to 2023, he was a Lecturer at the Lebanese University, instructing subjects including Algebra, Energy Transportation, and Electric Machines. From 2017 to 2023, he also taught Mechanics, Thermodynamics, and MATLAB at Saint Joseph University (ESIB). In addition, he contributed as a Lecturer at the University of Balamand and other institutions, focusing on Computational Techniques and Mech241, while also supervising various student projects. This broad experience has allowed him to develop a well-rounded approach to teaching engineering concepts across multiple institutions.

💼 Work Experience

Chawki Lahoud has extensive experience in the renewable energy and engineering sectors. Since 2024, he has been providing expert consultancy in renewable energy systems at the Al Shouf Cedars and Jabal Moussa Biosphere Reserve in Lebanon. In addition, he has been the Managing Partner at CLEngineering S.A.L. since 2014, overseeing several renewable energy projects in Lebanon. Prior to these roles, he worked as a Project Manager at Beavers Engineering S.A.L. from 2015 to 2017, where he managed a coffee factory construction project. Earlier, from 2012 to 2014, he served as a Project Engineer at Khater Engineering and Trading S.A.L., where he worked on HVAC and plumbing systems for various construction projects. This combination of roles has equipped him with significant expertise in both renewable energy and engineering project management.

🔬 Research Interests

Energy Management ⚡
Chawki Lahoud is supervising a Ph.D. thesis focused on optimizing multi-source energy systems with hybrid storage solutions. This research aims to enhance the efficiency and sustainability of energy systems by integrating various energy sources with advanced storage techniques.

Marine and Plasma Energy 🌊⚛️
In the field of plasma physics, Chawki is also supervising a Ph.D. thesis that explores the simulation of nanoparticle dynamics. This work investigates the potential of plasma energy and its application in marine environments, contributing to cutting-edge research in energy generation and material science.

Solar Thermal Energy ☀️❄️
Chawki is overseeing a Ph.D. thesis that focuses on the optimization of solar absorption cooling systems. This research aims to improve the efficiency of solar cooling technologies, offering sustainable alternatives for temperature control in various applications.

Renewable Energy Applications 🌱
Chawki’s research in renewable energy applications spans several key areas, including solar cooling, geothermal energy, and phase change materials. He investigates innovative ways to harness renewable energy sources, focusing on sustainable solutions for energy production and storage.

🏅 Awards

2024: Best Poster Award at Frontiers in Materials Science and Engineering Conference for his work on mobilized thermal energy storage in Mediterranean climates.

📚 Publications Top Notes

Thermo-Economic Comparison of Solar Thermal and Photovoltaic Cooling Systems, Conference: IMCET 2023, Contributors: Lahoud, C.; Brouche, M.; Hmadi, M. Link

Thermo-Economic Performance of Solar-Driven Absorption Chillers, Conference: REDEC 2023, Contributors: Lahoud, C.; Brouche, M.; Hmadi, M. Link

Modeling and Validation of Enthalpy-Temperature Curve for Phase Change Materials, Journal: Materials Science Forum, Contributors: Eid, S.; Lahoud, C.; Brouche, M.; Hmadi, M. Link

Review of Single-Effect Solar Absorption Chillers in Lebanon, Journal: Energy Reports, Contributors: Lahoud, C.; Brouche, M.; Hmadi, M. Link

Sustainable Energy and Climate Action Plan Tool for Municipalities, Journal: Energy Reports, Contributors: Saad, S.; Lahoud, C.; Brouche, M.; Hmadi, M. Link

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:

Google Scholar.

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 🚗🧠