Cover of Current Trends in Information Technology

Current Trends in Information Technology

Computer/IT ISSN 2249-4707 3 issues a year Hybrid open accessWhat does hybrid open access mean? This journal has two kinds of articles. Open access articles are free for anyone to read; the author pays an article processing charge for that. All other articles are for subscribers. Authors can also publish at no cost under the subscription-based option.

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About the journal

Current Trends in Information Technology is a peer-reviewed hybrid open-access journal launched in 2011, focused on the rapid publication of fundamental research papers on all areas of Information Technology across multidisciplinary domains.

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Journal metrics

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  • 228Articles published
  • 9Published in 2026
  • 530Authors
  • 1Open access

Journal information

Title
Current Trends in Information Technology
Issues per year
3 issues
ISSN
2249-4707
Publisher
STM Journals
Starting year
2011
Subject
Computer/IT
Publication format
Hybrid open access
Language
English
Copyright policy
CC BY-NC-ND 4.0
Type
Peer-reviewed journal (refereed)
Article processing charge
₹10,000 in India · $400 outside India
Subscription-based publication
No cost. Author copy, DOI and certificate are chargeable.

Indexed in

Editorial board

  • Editor-in-Chief

    Dr. Loganathan R

    Information Science and Engineering, Sri Venkateshwara College of Engineering, Bengaluru, India

  • Associate Editor-in-Chief

    Dr. Shiv Kumar Verma

    Computer Science and Engineering, Alliance University, Bangaluru, India

All 10 board members →

Latest articles

  • Published Subscription Original Research

    A Study on the Ethical Implications and Data Privacy Challenges in the Age of Artificial Intelligence

    Abstract: The fast adoption of Artificial Intelligence (AI) in areas like education, business, and everyday life comes with both tectonic and important ethical and data privacy issues. This paper examines the principle-practice divide between the ideals of the ethics as they are set and applied in the realities of AI implementation. The study is based on a mixed-methodology design, comprising of a quantitative survey of 52 participants and a qualitative study …

    Published in Current Trends in Information Technology · Vol. 16, Issue 2, 2025 Read article

  • Published Subscription Original Research

    A Hybrid Software Engineering Teaching Model (HSETM): Integrating Traditional and Contemporary Pedagogical Approaches

    Abstract: Software engineering education faces a persistent dichotomy between traditional lecture-based instruction, which effectively delivers theoretical frameworks but inadequately develops practical competencies, and contemporary pedagogical approaches such as problem-based learning (PBL) and flipped learning, which enhance learner engagement but risk weakening theoretical foundations. This study proposes and empirically validates the Hybrid Software Engineering Teaching Model (HSETM), a systematic integration of traditional and contemporary pedagogical methods designed to overcome this dichotomy. Grounded …

    Published in Current Trends in Information Technology · Vol. 16, Issue 2, 2025 · pp. 33–43 Read article

  • Published Subscription Original Research

    Campus Connect: A Digital Solution for Academic and Event Management System

    Abstract: This paper introduces campus connect a unified digital system developed to improve the Management and a and institutional events the platform is designed with adaptability in mind allowing it to function effectively across various educational settings such as schools colleges and universities its main aim is to provide a simple and accessible interface that enables all users regardless of technical expertise to interact with the system comfortably the platform allows …

    Published in Current Trends in Information Technology · Vol. 16, Issue 2, 2025 · pp. 44–53 Read article

  • Published Subscription Review Article

    Accessavior: AI-Driven Real-Time Adaptive Web Interfaces for Intelligent User Experiences

    Abstract: As the web has become more diverse, many traditional, one-size-fits-all web accessibility solutions that must be configured manually have proven inadequate in meeting the needs of each user. This paper introduces “Accessavior”, which is an intelligent, behavioural pattern-driven accessibility framework that can automatically customize the personalization of web interfaces based on the interaction patterns of users. The proposed system will continuously track cursor behaviours such as cursor movements, keystroke characteristics, …

    Published in Current Trends in Information Technology · Vol. 16, Issue 2, 2025 · pp. 14–22 Read article

  • Published Subscription Original Research

    Adaptive and Explainable ML Framework for Personalized E-Commerce User Experience and Satisfaction

    Abstract: The user experience and user satisfaction have taken the center of the stage as a determinant of platform success in the fast-changing e-commerce ecosystem. Conventional recommendation systems are usually run in black-box models that give minimal transparency and dynamicity to altered user preferences. The study will introduce a personalization framework of explainable machine learning (XML) based on explainable artificial intelligence (XAI) and hybrid recommendation strategies. The model uses Collaborative Filtering …

    Published in Current Trends in Information Technology · Vol. 16, Issue 2, 2025 · pp. 23–32 Read article

  • Published Subscription Review Article

    Human-in-the-Loop AI in HR Decision-Making: Insights from Big 4 AI Governance Reports

    Abstract: The integration of artificial intelligence (AI) in human resource (HR) decision-making has transformed recruitment, performance evaluations, and talent management. However, biases embedded in AI-driven HR systems present significant ethical and operational challenges. Human-in-the-Loop (HITL) AI offers a hybrid approach that combines AI efficiency with human oversight to enhance fairness and accountability. This paper systematically analyses HITL AI in HR decision-making using qualitative analysis of AI governance reports from Big 4 …

    Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 43–50 Read article

  • Published Subscription Original Research

    A Study of the Impact of AI-Powered Recommendation Systems on Consumer Purchase Decisions in the E-Commerce Industry

    Abstract: Through personalized suggestions, the e-commerce industry has been affected so much that it has been overtaken by AI-powered recommendation systems. This paper examines the effects of AI-powered recommendations on online shoppers and how they influence product discovery, the engagement level of shoppers, and unplanned purchases. Emerging from the results of a survey of 55 graduates and MBA students, more than 70% of respondents claim that AI has helped them find …

    Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 01–06 Read article

  • Published Subscription Original Research

    Elderly Healthcare Using Federated Learning Approach

    Abstract: The healthcare system for elderly people faces several challenges, which can be addressed using advanced machine learning models. These models can help monitor chronic diseases, detect falls, and provide personalized health recommendations. The study uses comprehensive datasets like MIMIC-III/IV, WESAD, and UCIHAR to explore human movements, device limitations, and the differences in fall occurrences. A detailed review of existing literature discusses current technologies for activity monitoring and fall detection, focusing …

    Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 13–23 Read article

All 228 articles in this journal →

Ahead of print

Accepted and online before they are assigned to an issue.

  • Published Ahead of print Subscription Review Article

    A Blockchain Technology Application In Supply Chain Management: Hindrances & Prospects

    Abstract: Traditional supply chain management faces limitations in transparency, traceability, and security. Blockchain technology, characterized by its unchangeable and secure attributes, presents promising remedies for these issues. It has emerged as a transformative advancement with the capacity to overhaul supply chain management. This study emphasizes on the potential of blockchain to transform existing supply chain practices while acknowledging the challenges hindering its widespread adoption. It further explores the applications of blockchain …

    Published in Current Trends in Information Technology Read article

Archive on its own page →

Volume 16 (2025) 12 articles

Volume 15 (2025) 16 articles

Volume 14 (2024) 16 articles

Volume 13 (2023) 15 articles

Volume 12 (2022) 16 articles

Volume 11 (2021) 15 articles

Volume 10 (2020) 15 articles

Volume 9 (2019) 15 articles

Volume 8 (2018) 15 articles

Volume 7 (2017) 15 articles

Volume 6 (2016) 17 articles

Volume 5 (2015) 18 articles

Volume 4 (2014) 12 articles

Volume 3 (2013) 13 articles

Volume 2 (2012) 9 articles

Volume 1 (2011) 8 articles

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