Recent Advances in Electrical & Electronic Engineering

Journal Impact Factor: 0.6
Aims and Scope:
Recent Advances in Electrical & Electronic Engineering, publishes high-quality research articles, full-length/mini reviews, and guest-edited thematic issues covering all major disciplines of engineering. The journal provides a platform for interdisciplinary research in fast-emerging areas, including but not limited to:

· Electrical, Electronic, and Communication Engineering

· Mechanical, Aerospace, and Automotive Engineering

· Civil, Structural, and Urban Engineering

· Computer Science, Artificial Intelligence, and Machine Learning

· Robotics, Automation, and Autonomous Systems

· Energy, Environmental, and Green Engineering

· Biomedical, Bioengineering, and Biotechnology

· Quantum Computing and Quantum Engineering

· 3D Printing, Additive Manufacturing, and Industry 4.0

· Internet of Things (IoT) and Smart Systems

· Signal Processing, Sensors, and Instrumentation

· Space Engineering, Satellite Technologies, and High-Performance Computing

· Power Electronics and Smart Grids

· Wireless Communication and 6G Networks

· Semiconductor and Nanoelectronics

· Cybersecurity in Electrical and Electronic Systems

· Autonomous Electric Vehicles and Charging Infrastructure

The journal also welcomes articles focusing on innovative applications, emerging technologies, and advancements in engineering methodologies. Researchers in all fields of engineering will find Recent Advances in Electrical & Electronic Engineering an essential source of knowledge and innovation.

Recent Advances in Electrical & Electronic Engineering is an international, peer-reviewed journal on all aspects of electrical & electronic engineering, published monthly (print & online) by Bentham Science Publishers.
Read more...
Start Submission Button Icon

ISSN: 2352-0973

Special Issues With Active Call for Papers

Submission closes on: Sep 12, 2026
Green Hydrogen Energy-Based Power Quality and Energy Management in Smart Grid

The increasing penetration of renewable energy sources in modern power systems enhances sustainability but introduces significant challenges in power quality, reliability, and energy management due to their intermittent and stochastic nature. Green hydrogen, produced through electrolysis powered by renewable energy, has emerged as a promising solution for overcoming these challenges by serving as both a clean energy carrier and a long-term storage medium. This topic on Green Hydrogen Energy Based Power Quality and Energy Management... see more

Impact Factor: 0.6
Guest Editor(s): Dr. Praveen Kumar Balachandran
Co-Guest Editor(s): Dr. Koganti Srilakshmi,Dr. Sudhakar Babu Thanikanti
Start Submission
Submission closes on: Sep 11, 2026
Role of Innovative Technologies in Smart Industrial Systems and Management

The ever-increasing need for higher efficiency, smaller size, and lower cost makes the analysis, understanding, and design of industrial equipment extremely important, interesting, and even imperative in the smart industrial system and management. One of the most neglected features in the study of such systems is the effect of the inherent nonlinearities on the stability of the devices. Due to these nonlinearities, these devices may exhibit undesirable and complex dynamics, which are the subject of... see more

Impact Factor: 0.6
Guest Editor(s): Dr. Ashutosh Sharma
Co-Guest Editor(s): Dr. Kai Guo,Dr. Amit Sharma
Start Submission
Submission closes on: Aug 13, 2026
Artificial Intelligence in Mechanical Manufacturing: From Machine Learning to Generative Pre-trained Transformer

As a cornerstone of industrial advancement, manufacturing is experiencing substantial transformations driven by technological innovations, societal demands, and a heightened focus on sustainability. A vital aspect of this evolution is the integration of Artificial Intelligence (AI) in mechanical manufacturing systems, which form the foundational structures of production processes. The application of AI in manufacturing methodologies has been pivotal in improving efficiency, precision, and adaptability. AI-driven technologies such as machine learning, predictive analytics, generative intelligence, and... see more

Impact Factor: 0.6
Guest Editor(s): Dr. Xu Zheng
Co-Guest Editor(s): Dr. Jemal Abawajy
Start Submission
Submission closes on: May 17, 2026
Advances in Deep Learning and Machine Learning for Real-World Applications

In recent years, the fields of deep learning (DL) and machine learning (ML) have witnessed remarkable advancements, driven by the exponential growth of data availability, computational power, and algorithmic innovations. These technologies have transformed various aspects of our lives, from personal assistants on our smartphones to complex decision-making systems in industries. However, despite their theoretical sophistication, the true potential of DL and ML can only be realized through their successful application to real-world problems. While... see more

Impact Factor: 0.6
Guest Editor(s): Dr. Chaitanya Singla
Co-Guest Editor(s): Dr. Gurpreet Singh,Dr. Manjot Kaur,Dr. Ashwani K Sharma,Dr. Jinchao Chen,Dr. Weiwei Jiang
Start Submission
Submission closes on: Dec 31, 2025
Advancements in Brain Tumor Detection and Treatment Using Machine Learning, Deep Learning, and Blockchain Technology

Brain tumors are among the most challenging diseases to diagnose and treat, requiring specialized expertise and advanced technology for accurate detection and effective treatment. In recent years, machine learning and deep learning algorithms have shown promise in improving the accuracy and efficiency of brain tumor detection through medical imaging analysis. Additionally, the integration of blockchain technology has the potential to enhance data security and integrity in managing patient information and treatment protocols. This proposal proposes... see more

Impact Factor: 0.6
Guest Editor(s): Dr. Sandeep Kumar Mathivanan
Co-Guest Editor(s): Dr. Saurav Mallik,Dr. S.K.B. Sangeetha,Dr. Ben Othman Soufiene
Start Submission
Submission closes on: Dec 31, 2025
Internet of Things (IoT).

The Internet of Things (IoT) has quickly turned into one of the main driving forces of global economic development today. In 2022, the number of connected IoT devices reached 14.4 billion, and some $202 billion were spent in the IoT area. The IoT scope encompasses a vast and growing range of applications, technologies, and implications across various sectors and aspects of daily life. IoT involves ubiquitous connected, uniquely identifiable things/objects/devices that possess the ability to... see more

Impact Factor: 0.6
Guest Editor(s): Dr. Ivan Ganchev
Co-Guest Editor(s): Dr. Zhanlin Ji,Dr. Mairtin O'Droma
Start Submission
Submission closes on: Dec 31, 2025
Advances in Robotics and Intelligent Mechatronics for Smart Manufacturing

This special issue delves deep into the transformative landscape of modern manufacturing technology. This comprehensive guide navigates through the intricate realm of robotics and intelligent sensor technology, showcasing cutting-edge developments that are reshaping industries worldwide. The special issue explores a wide array of topics, ranging from robotic automation and sensor integration to sophisticated data analytics and the burgeoning field of human-robot collaboration. Readers will gain invaluable insights into the latest trends and advancements that are... see more

Impact Factor: 0.6
Guest Editor(s): Dr. Safaa Najah Saud Al-Humairi
Co-Guest Editor(s): Prof. Dr. Mohammed Hamza Al-Maamori,Dr. Prisma Megantoro,Dr. Norazliani Md Sapari
Start Submission
Submission closes on: Dec 31, 2025
Recent Developments in Computer and Communication Engineering Methodologies: Innovations and Applications

The fields of computer science and communication technology are undergoing rapid advancements, leading to novel methodologies and applications that address contemporary challenges. This special issue aims to explore the recent developments in computer and communication engineering methodologies, focusing on innovative solutions, interdisciplinary approaches, and their practical implications in various domains of engineering and science. see more

Impact Factor: 0.6
Guest Editor(s): Dr. Pushparaj Pal
Co-Guest Editor(s): Dr. Mohammad Junaid Khan,Dr. Manish Kumar
Start Submission
Submission closes on: Dec 31, 2025
Attainment of SDGs through the Advancement in Solar Energy Systems

With less than a decade until we reach 2030, it is crucial to address the deep inequalities affecting not only our health but also our quality of life and the economy of countries worldwide. A few of the UN's Sustainable Development Goals (SDGs) can be directly and indirectly achieved through the implementation of renewable energy systems, with a significant role being played by solar photovoltaic (PV) and solar thermal systems. Solar PV and thermal systems... see more

Impact Factor: 0.6
Guest Editor(s): Dr. Praveen Kumar Balachandran
Co-Guest Editor(s): Dr. Thanikanti Sudhakar Babu,Prof. Nnamdi Nwulu
Start Submission
Submission closes on: Dec 31, 2025
Advances of Biometric Data Analysis to Boost Intelligent Applications

With the rapid development of artificial intelligence (AI) technology, more and more intelligent devices and applications are appearing in our daily lives, such as smart homes, smart agriculture, health diagnosis, educational support, and environmental monitoring. Interaction with these devices or applications has become a pressing issue that can greatly improve the quality of experience (QoE) for users. Biometric data can be captured by sensors in smart devices or applications, which can enhance human-computer interaction (HCI)... see more

Impact Factor: 0.6
Guest Editor(s): Dr. Fa Zhu
Co-Guest Editor(s): Dr. Imran Shafique Ansari,Dr. Vijendra Singh
Start Submission
Submission closes on: Dec 31, 2025
Optimization Techniques in Renewable Energy Systems

Optimization Techniques in Renewable Energy Systems thematic issue covers all major areas where optimization techniques have been applied to reduce uncertainty or improve results in renewable energy systems (RES). Production of power with RES is highly variable and unpredictable, leading to the need for optimization-based planning and operation in order to maximize economies while sustaining performance. This self-contained thematic issue will begin with an introduction to optimization, then will be covering a wide range of... see more

Impact Factor: 0.6
Guest Editor(s): Dr. Praveen Kumar Balachandran
Co-Guest Editor(s): Dr. Karuppiah Natarajan,Dr. Thanikanti Sudhakar Babu
Start Submission
Submission closes on: Dec 31, 2025
Parkinson's Disease Detection and Treatment Using Machine Learning and Deep Learning Techniques

The proposed special issue aims to showcase the latest advancements in Parkinson's disease detection and treatment using machine learning and deep learning techniques. Parkinson's disease is a progressive neurological disorder that affects millions of people worldwide, and early detection and accurate diagnosis are crucial for effective treatment. Machine learning and deep learning algorithms have shown great promise in improving the accuracy and efficiency of Parkinson's disease diagnosis through the analysis of clinical and neuroimaging data.... see more

Impact Factor: 0.6
Guest Editor(s): Dr. Sandeep Kumar Mathivanan
Co-Guest Editor(s): Dr. Saurav Mallik,Dr. Sangeetha S.K.B
Start Submission
Submission closes on: Dec 31, 2025
AI4IOT: Accelerating Innovation in Engineering Science

The Internet of Things (IoT) and artificial intelligence (AI) are two of the most transformative technologies of our time. IoT connects devices and systems to the internet, while AI allows machines to learn and make decisions without human intervention. These technologies are already having a major impact on industries such as healthcare, manufacturing, and transportation. The combination of AI and IoT, known as AI4IOT, is poised to accelerate innovation in even more industries, including engineering... see more

Impact Factor: 0.6
Guest Editor(s): Dr. Sai Kiran Oruganti
Co-Guest Editor(s): Dr. Dimitrios Karras,Dr. Asif Ekbal,Dr. Eugenio Vocaturo
Start Submission
Submission closes on: Nov 29, 2025
Recent Developments in Machine Learning Applications for Electrical and Electronic Engineering.

This thematic issue will explore recent advances in the application of machine learning techniques within the realms of electrical and electronic engineering. As artificial intelligence continues to evolve, its integration into traditional engineering domains has led to significant innovations, particularly in areas such as signal processing, circuit design, sensor networks, power systems, and cybersecurity. This collection aims to present pioneering methodologies, address key challenges, and highlight case studies that illustrate how machine learning is enabling... see more

Impact Factor: 0.6
Guest Editor(s): Dr. Ahmed F Zobaa
Co-Guest Editor(s): Professor Alfredo Vaccaro,Professor Mario Manana Canteli
Start Submission