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

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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

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 🚗🧠

Milad Adelifar | Solar energy | Excellence in Research