About the Journal

 
CURRENT ISSUE
Vol. 50 No. 1 (2026)
January – March 2026
Published: 06 April 2026
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NIU JOURNAL OF APPLIED SCIENCES, BIOTECHNOLOGY AND COMPUTATIONAL RESEARCH

The NIU Journal of Applied Sciences, Biotechnology and Computational Research is an international, peer-reviewed, open-access journal committed to publishing high-quality research in the fields of applied sciences, biotechnology, and computational research. The journal provides a platform for researchers, academicians, scientists, and industry professionals to share innovative findings, experimental studies, and technological advancements that contribute to scientific and industrial development.

The journal emphasizes interdisciplinary research and encourages contributions that integrate scientific principles with modern computational techniques, including artificial intelligence, data analytics, bioinformatics, and modelling. It aims to promote global knowledge exchange and foster innovation to address current and future challenges across scientific and technological domains.

Like leading scholarly publications, the journal focuses on scientific rigor, originality, and practical relevance, ensuring that published work significantly contributes to advancing research, technology, and real-world applications in science and engineering.

JOURNAL INFORMATION
Journal Name: NIU Journal of Applied Sciences, Biotechnology and Computational Research
Abbreviation: NIU-JASBCR
Publication Type: Peer-reviewed, Open Access
Frequency: Bi-Annual (Two issues per year)
Language: English
Mode of Publication: Online and Print
Review Model: Double-Blind Peer Review
Subject Area: Applied Sciences, Biotechnology, Computational Research
AIMS AND SCOPE

The NIU Journal of Applied Sciences, Biotechnology and Computational Research aims to serve as a leading platform for disseminating high-quality research and innovative developments across scientific and technological disciplines. The journal is dedicated to publishing original research articles, review papers, case studies, and technical reports that contribute to both theoretical advancement and practical applications.

The scope of the journal covers a wide range of interdisciplinary domains, including physics, chemistry, environmental science, materials science, and engineering, along with core areas of biotechnology such as genetic engineering, molecular biology, microbiology, bioprocess technology, and bioinformatics. It also includes emerging computational fields such as artificial intelligence, machine learning, data science, computational modeling, and simulation.

The journal welcomes contributions in advanced and interdisciplinary areas such as nanotechnology, renewable energy, systems biology, computational biology, and scientific computing. Emphasis is placed on research that demonstrates originality, scientific significance, and applicability in solving real-world problems.

The journal particularly encourages submissions that bridge the gap between traditional scientific research and modern computational advancements. It supports studies that contribute to sustainable development, technological innovation, and industry-oriented solutions.

By maintaining a rigorous peer-review process and high editorial standards, the journal ensures that all published work contributes meaningfully to the advancement of applied sciences, biotechnology, and computational research.

ETHICS AND MALPRACTICE
PEER REVIEW POLICY

The NIU Journal of Applied Sciences, Biotechnology and Computational Research follows a strict double-blind peer-review process to ensure the quality and integrity of published research. All submitted manuscripts undergo an initial editorial screening followed by evaluation by independent subject experts.

Decisions regarding acceptance or rejection are based on originality, scientific quality, relevance, and reviewer recommendations.

SUBSCRIPTIONS & ARCHIVES

The journal is published biannually:

  • Issue 1: January – June
  • Issue 2: July – December
International$50 / Year
India₹4000 / Year
KEY FOCUS AREAS
 
Applied Sciences and Engineering Innovations
Biotechnology and Life Sciences
Artificial Intelligence and Machine Learning
Bioinformatics and Computational Biology
Data Science and Scientific Computing
Environmental and Sustainable Technologies
Nanotechnology and Advanced Materials
Renewable Energy and Green Technologies
Industrial Applications and Process Engineering
Interdisciplinary Scientific Research