UKRJEIT
UKR Journal of Engineering, Innovation and Technology (UKRJEIT)
Impact Factor: View HereUKR Journal of Engineering, Innovation and Technology (UKRJEIT)
UKR Journal of Engineering, Innovation and Technology (UKRJEIT) is an online, open-access, peer-reviewed journal launched in 2026 by UKR Publisher. UKRJEIT serves as a platform for researchers, engineers, and technology professionals to publish original findings, innovative solutions, and applied research. The journal publishes original research articles, review papers, technical studies, and case studies, promoting academic and industrial advancement in engineering and technology.
Scope & Covered Subjects
Civil Engineering
Research on structural design, construction materials, urban infrastructure, and sustainable civil systems.
Mechanical Engineering
Studies on thermodynamics, manufacturing processes, robotics, and mechanical system design.
Electrical Engineering
Research on power systems, electronics, signal processing, and electrical circuit design.
Computer Science & IT
Advancements in algorithms, software engineering, cybersecurity, cloud computing, and information systems.
Artificial Intelligence
Machine learning, deep learning, neural networks, natural language processing, and AI-driven applications.
Electronics & Communication
Research on VLSI, embedded systems, wireless communication, IoT, and sensor technologies.
Emerging Technologies
Exploration of blockchain, AR/VR, quantum computing, nanotechnology, and next-generation technologies.
Renewable Energy
Studies on solar, wind, and sustainable energy systems, green engineering, and energy efficiency.
Innovation & Entrepreneurship
Technology-driven innovation, startup ecosystems, R&D management, and engineering entrepreneurship.
Biomedical Engineering
Research on medical devices, biosensors, healthcare technologies, and bio-instrumentation systems.
Environmental Engineering
Studies on waste management, water treatment, pollution control, and sustainable environmental practices.
Data Science & Analytics
Big data, predictive modeling, data mining, business intelligence, and analytics-driven decision making.
