NSRI Student Research JournalOpen AccessOnline

About the Journal

Journal Title: NSRI Student Research Journal

Online ISSN: 3143-5653

Publisher: National Student Research Institution

Publisher Location: Alpharetta, Georgia, United States

Format: Online, open access

Journal Overview

Scope

The NSRI Student Research Journal publishes student research across STEM, social sciences, humanities, and interdisciplinary fields.

Publication Model

NSRI maintains a selective journal publication track and a broader research archive. Manuscripts selected for formal journal publication appear in the NSRI Student Research Journal. The NSRI Research Archive may include student manuscripts submitted through NSRI or student research completed through another venue, repository, journal, conference, preprint server, school platform, or publication pathway.

Editorial Policy

Submissions undergo student-led editorial review, integrity screening, plagiarism screening, and basic methodology review.

Publication Ethics

NSRI does not allow fabricated data, false authorship, misleading affiliations, plagiarism, or unethical research practices.

Access Policy

The journal is open access. Published articles are made publicly available online.

Issue Structure

The journal follows a rolling publication model, with articles organized into yearly volumes.

ISSN Status

NSRI Student Research Journal is an online ISSN-assigned journal registered through the U.S. ISSN Center at the Library of Congress. Online ISSN: 3143-5653.

DOI Status

DOI registration is not currently active. NSRI article identifiers are used for internal publication records.

Editorial Team

The editorial team supports journal review, research integrity, and publication standards for the NSRI Student Research Journal.

Vaibhav C. Gandhi

Senior Editor

Assistant Professor, Madhuben and Bhanubhai Patel Institute of Technology, The CVM University, India

Details

Areas of expertise

Computer vision, artificial intelligence, machine learning, deep learning, data mining, AI-driven healthcare systems

Vaibhav C. Gandhi serves as a Senior Editor for the NSRI Student Research Journal. He is an Assistant Professor at Madhuben and Bhanubhai Patel Institute of Technology, The CVM University, India, with over 15 years of combined academic and industry experience. His expertise includes computer vision, artificial intelligence, machine learning, deep learning, data mining, and AI-driven healthcare systems. He has authored more than 35 research articles and book chapters and supports NSRI’s editorial standards, research integrity, and student mentorship.

Soham Biren Katlariwala

Associate Editor

Details

Areas of expertise

Artificial intelligence, medical data science, deep learning, reinforcement learning, neuroscience, quantum computing, AI-driven healthcare systems

Soham Biren Katlariwala serves as an Associate Editor for the NSRI Student Research Journal. He is pursuing a dual degree in Data Science and Computer Engineering with a specialization in Artificial Intelligence and Machine Learning. His work spans AI, deep learning, reinforcement learning, neuroscience, quantum computing, and healthcare applications, with research experience across machine learning model efficiency, AI-generated text detection, medical AI, and interdisciplinary computational systems.

Wycliff Bwambale

Associate Editor

Biotechnology graduate, Makerere University, Uganda; MSc Biotechnology student, Naresuan University, Thailand

Details

Areas of expertise

Toxicology, bioinformatics, plant genetics and physiology, molecular biology, omics, bioremediation, biotechnology, biomedical research

Wycliff Bwambale serves as an Associate Editor for the NSRI Student Research Journal. He is a biotechnology graduate from Makerere University in Uganda and is currently pursuing an MSc in Biotechnology at Naresuan University in Thailand. His research interests include toxicology, bioinformatics, plant genetics and physiology, molecular biology, omics, bioremediation, biotechnology, and biomedical research.

Profile links

LinkedIn: Wycliff Bwambale

Zahid Hussain Lone

Associate Editor

Master’s student in Computer Science and Engineering, Anna University; Amazon

Details

Areas of expertise

Artificial intelligence, machine learning, data analytics, large language models, intelligent systems, healthcare AI, decision support systems

Zahid Hussain Lone serves as an Associate Editor for the NSRI Student Research Journal. He is pursuing a Master’s in Computer Science and Engineering at Anna University and has experience in machine learning, data analytics, and intelligent systems. His work includes projects in heart disease prediction, house price prediction, and data-driven modeling, with research interests in machine learning, large language models, healthcare AI, scalable computing, and decision support systems.

Profile links

Contact Emails

Website and Archive

Website: nsri.world/about/editorial-team

Archive Page: Published articles are listed on the NSRI Research Archive page.

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