Dr. Chawki Lahoud | Renewable Energy | Best Researcher Award

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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

 

 

 

Milad Adelifar | Solar energy | Excellence in Research

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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.

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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

 

 

 

 

 

 

 

Elaheh Yaghoubi | Energy | Best Researcher Award

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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 🚗🧠

Ayad Fouad | Energy | Best Researcher Award

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🌟Dr. Ayad Fouad, Energy, Best Researcher Award🏆

Doctorate at Ahmed Ben Yahya Elwancharissi University, Algeria

Ayad Fouad is a dedicated energy engineering professional with a robust academic and practical background. With a PhD in Energetic and a variety of certifications in non-destructive testing and quality control, Ayad has made significant contributions to the fields of energy systems, mechanical engineering, and nuclear reactor simulations.

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Ayad has published several research papers in esteemed journals and conferences, contributing valuable insights into thermohydraulic phenomena, energy system simulations, and non-destructive testing methods. Author metrics indicate a growing influence in the field, with citations reflecting the impact of the research work.

  • Citations: This indicates that your work has been cited 2 times in total since 2019. This is a measure of the impact and recognition of your research within the academic community.
  • h-index: An h-index of 1 means that you have at least one paper that has been cited at least once. This metric aims to measure both the productivity and citation impact of the publications by an author.

Education

  • 2021-2024: Doctorate Degree in Energy Engineering, Ahmed Ben Yahya Elwancharissi University, Tissemsilt, Algeria.
  • 12/06/2022: ASNT NDT Level II certification at GAC For Engineering Consultancy, Cairo, Egypt.
  • 27/05/2023: QA/QC Workshop at KIT For Engineering and Innovation, Algers, Algeria.
  • 2018-2019: Master’s Degree in Energy Mechanical Engineering, Ibn Khaldoun University, Tiaret, Algeria.
  • 2014-2017: Bachelor’s Degree in Mechanical Engineering, Ibn Khaldoun University, Tiaret, Algeria.
  • 2013-2014: Baccalaureate Degree in Experimental Science, Tiaret, Algeria.

Research Focus

Research primarily focuses on the study and simulation of complex thermal-hydraulic phenomena in nuclear reactors using Computational Fluid Dynamics (CFD) methods. This includes validating models with experimental reference data and exploring innovative solutions for energy efficiency and safety in nuclear systems.

Professional Journey

The professional journey includes extensive experience in performing thermohydraulic numerical simulations, inspecting boiler and pressure vessel operations, preparing and verifying quality control documents, and supervising welding operations. Expertise in non-destructive testing methods and adherence to ASME standards has been a cornerstone of this career.

Honors & Awards

Recognized for excellence in research and professional practice with various accolades from academic institutions and professional bodies. Awards highlight contributions to energy engineering and advancements in thermohydraulic simulation techniques.

Publications Noted & Contributions

Published multiple research papers that have been well-received by the academic community. Contributions include advancements in CFD simulations for nuclear reactors, innovations in non-destructive testing methods, and improvements in quality control processes for energy installations.

Title: Verification & validation of CFD predictions regarding pressurized thermal shock (PTS) situations in ROCOM installation: Comparison with IAEA benchmark

  • Authors: F Ayad, M Baghdad, Y Bouaichaoui, T Höhne
  • Journal: Nuclear Engineering and Design
  • Year: 2023
  • Citations: 2

Title: Fluid-to-fluid similarity and CFD predictions of surrogate fluid as a replacement for R11 refrigerant used in a subcooled flow boiling analysis: Validation against reference …

  • Authors: F Ayad, Y Bouaichaoui, H Aboshighiba
  • Journal: International Journal of Heat and Mass Transfer
  • Year: 2024

Title: Study and simulation of complex thermal-hydraulic phenomena in nuclear reactors using the CFD method: Validation of models by reference benchmark experimental data

  • Author: A Fouad
  • Institution: University of Tissemsilt
  • Year: 2023

Title: Etude prospective de substitution du fluide réfrigérant de l’installation thermohydraulique hors-pile par le biais du code ANSYS-CFX: Validation & Vérification des résultats …

  • Author: F Ayad
  • Institution: Université Ibn Khaldoun-Tiaret

Research Timeline

  • 2019-2024: Conducted detailed studies and simulations at the Nuclear Research Center of Birine, focusing on thermal-hydraulic phenomena in nuclear reactors.
  • 2018-2019: Completed a diploma in thermo-hydraulic training with a focus on biphasic change fluid (boiling crisis).

Collaborations and Projects

Collaborated with leading institutions and companies such as the Nuclear Research Center of Birine and GAC For Engineering Consultancy. Engaged in various projects that involved the application of CFD methods to real-world energy systems, non-destructive testing, and quality assurance in engineering projects.

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.

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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.