Journal Information

Journal of Engineering (JE)

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Impact Factor:
2.3
Publisher:
Hindawi
ISSN:
2314-4904
Viewed:
25827
Tracked:
1

Call For Papers

Journal of Engineering (JE) is an academic journal published by Hindawi. (ISSN 2314-4904, impact factor 2.3).

Aims and scope Journal of Engineering is a peer-reviewed, Open Access journal that publishes original research articles as well as review articles in several areas of engineering. The subject areas covered by the journal are: Chemical Engineering Civil Engineering Computer Engineering Electrical Engineering Industrial Engineering Mechanical Engineering
Last updated by Dou Sun in

Special Issues

Special Issue on AI Innovations in Engineering and Smart Manufacturing Submission Date: 2026-07-30 Description Artificial intelligence (AI) is reshaping engineering and advanced manufacturing, powering intelligent, interconnected production systems that define Industry 4.0. From machine learning enhancing design processes to cyber-physical systems enabling real-time adaptability, AI addresses critical challenges such as efficiency, safety, and sustainability with remarkable precision. This special issue of the Journal of Engineering invites submissions to investigate how AI is revolutionizing engineering applications and smart manufacturing, driving innovation across diverse industrial sectors. This special issue aims to gather cutting-edge research and comprehensive reviews on the integration of AI in engineering and advanced manufacturing. By fostering interdisciplinary collaboration among engineers, AI specialists, and manufacturing experts, it seeks to illustrate how AI improves system design, optimizes production processes, and tackles industrial challenges like scalability and environmental impact, advancing the development of smart manufacturing technologies. Significance of the Collection- This special issue will serve as an essential resource for engineers, researchers, and industry leaders by presenting high-quality research on AI’s transformative role in engineering and manufacturing. It will enhance understanding of sustainable and innovative engineering practices, supporting initiatives like India’s Atmanirbhar Bharat campaign, and contribute to global competitiveness in smart manufacturing technologies. Potential topics include but are not limited to the following: AI for Engineering Process Optimization: Machine learning and deep learning for real-time control, parameter optimization, and quality assurance in engineering processes (e.g., machining, assembly). Predictive Maintenance in Engineering Systems: AI-driven analytics for monitoring equipment health, detecting faults, and estimating the lifespan of industrial machinery. AI in Manufacturing Design: Applications of AI in optimizing product designs, defect prevention, and process simulation for advanced manufacturing techniques. Human-Machine Integration: AI-enabled systems for safe and efficient collaboration between humans and robots in engineering and manufacturing environments. Sustainable Engineering Solutions: AI strategies for reducing resource consumption, optimizing energy efficiency, and implementing digital twins for real-time system analysis.
Last updated by Dou Sun in
Special Issue on Micro/nanofluidics for biomedical applications Submission Date: 2026-12-01 Description Micro/nanofluidics, the science of manipulating fluids and bioparticles within micro/nanoscale confinements, has ushered in a paradigm shift in biomedical research and clinical diagnostics. This technology presents compelling advantages over conventional methods, including minimal sample consumption, high operational efficiency, compact device architecture, integrated functionality, and exceptional resolution in manipulation. Its application spectrum spans efficient sample preparation, single-cell analysis, high-throughput cytometry, organ-on-a-chip systems, and advanced biosensing. These advancements have profoundly enhanced modern biomedical practices. A notable example is the isolation and detection of rare circulating tumor cells (CTCs) and circulating tumor DNA from blood, which provides a non-invasive "liquid biopsy" for early cancer detection, personalized therapy, and treatment monitoring. Consequently, numerous point-of-care testing (POCT) devices have been developed, with several achieving successful commercialization. Journal of Nanotechnology is calling for submissions of original studies that describe cutting-edge technical innovations and developments in the field of micro/nanofluidics, with a dedicated focus on its biomedical applications. Reviews which are well summarized and of far-sighted prospects are also encouraged. Potential topics include but are not limited to the following: Fundamentals of micro/nanofluidics; Emerging technologies for micro/nanofluidics Fabrication methods for micro/nanofluidics Micro/nanofluidics-based point-of-care testing (POCT) devices Application of micro/nanofluidics in biomedical applications
Last updated by Dou Sun in

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