Quantum Pulse: Journal of AI, Data Science & Systems Engineering (QP-AIDSE)

About the Journal

About the Journal

Quantum Pulse: Journal of AI, Data Science & Systems Engineering (QP-AIDSE) is an international, peer-reviewed journal committed to publishing high-quality research and review articles in Artificial Intelligence, Data Science, and Systems Engineering. Our mission is to provide a global platform for researchers, scholars, and professionals to share innovative ideas, experimental results, and practical solutions that advance technology and industry practices.

Our Vision

To become a leading international journal recognized for excellence in publishing cutting-edge research that drives technological innovation, interdisciplinary collaboration, and real-world impact in AI, Data Science, and Systems Engineering.

Our Mission

To advance the frontiers of research in Artificial Intelligence, Data Science, and Systems Engineering by providing a high-quality, peer-reviewed platform for researchers, academicians, and practitioners to disseminate innovative ideas and findings globally.

Core Values

Advancing cutting-edge research and innovation in AI, Data Science, and Systems Engineering. Aiming to be a leading international journal for innovation and global impact. Upholding excellence, integrity, and worldwide knowledge sharing.

Aim and Scope

Aim of the Journal:

Quantum Pulse: Journal of AI, Data Science & Systems Engineering (QP-AIDSE) is a premier, peer-reviewed international journal dedicated to advancing cutting-edge research and innovation in the fields of Artificial Intelligence (AI), Data Science, and Systems Engineering. The journal provides a high-impact platform for researchers, academicians, industry experts, and practitioners to disseminate original research, novel methodologies, theoretical insights, and practical applications that address the challenges of complex, data-driven, and intelligent systems in today’s technological landscape.

Scope of the Journal:

1. Artificial Intelligence (AI)

➤ Machine learning, deep learning, reinforcement learning, and hybrid AI models.
➤ Natural language processing, speech recognition, and computer vision.
➤ Robotics, autonomous systems, and intelligent agents.
➤ Explainable AI, AI ethics, responsible AI, and AI governance.
➤ Cognitive computing, AI in healthcare, AI for smart industries, and AI-driven innovation

2. Data Science & Analytics

➤ Big data analytics, data mining, predictive, prescriptive, and diagnostic analytics.
➤ Statistical modeling, probabilistic reasoning, and time-series forecasting.
➤ Data visualization, knowledge discovery, and graph analytics.
➤ AI-driven data analytics and decision support systems.
➤ Applications in healthcare, finance, energy, IoT, smart cities, environmental monitoring, and industrial systems.

3. Systems Engineering

➤ Systems modeling, simulation, optimization, and reliability engineering.
➤ Cyber-physical systems, embedded systems, and industrial automation.
➤ Control systems, system integration, and intelligent manufacturing.
➤ IoT-enabled systems, smart grids, and sensor networks.
➤ Digital twins, system design, operational efficiency, and smart infrastructure.

4. Emerging & Interdisciplinary Research

➤ Edge, fog, and cloud computing for intelligent systems.
➤ AI-powered cyber-physical systems and autonomous technologies.
➤ Blockchain-enabled systems and secure distributed networks.
➤ Human-machine collaboration, human-in-the-loop systems, and adaptive intelligence.
➤ Intelligent transportation, smart healthcare systems, sustainable technologies, and Industry 4.0 applications.

Publisher Information

Journal Name: Quantum Pulse: Journal of AI, Data Science & Systems Engineering (QP-AIDSE)


Published by: NOVARA PUBLISHERS


Address: #605, JASMINE BLOCK, RDB COCONUT GROVE, Dynamics Colony, Mayuri Nagar, Hyderabad, Telangana 500049.


Email: info@novarapublishers.com / novarapublishers@gmail.com


Phone: +91 9030161092


Publisher Website: novarapublishers.com

ISSN Information

ISSN (Online): 3108-1061

Publication Frequency

Bi-Annual (January, July)

Open Access Policy

QP-AIDSE is committed to the principle of open access, ensuring that all published articles are freely available to readers worldwide, with no subscription barriers.

Ethical Guidelines

Authors submitting to The Quantum Pulse: Journal of AI, Data Science & Systems Engineering (QP-AIDSE) are required to uphold the highest ethical standards. Submissions must be original, properly cited, and free from plagiarism. All research should adhere to academic integrity guidelines and ensure the ethical treatment of research subjects, where applicable.

Peer Review Process

The Quantum Pulse: Journal of AI, Data Science & Systems Engineering (QP-AIDSE) follows a rigorous peer review process to ensure the quality, originality, and relevance of all manuscripts published.

All submissions undergo a double-blind peer review, ensuring that both authors and reviewers remain anonymous throughout the process to maintain objectivity and eliminate any potential conflicts of interest.

Each manuscript is reviewed by at least two independent experts in the relevant field. Reviewers are carefully selected based on their expertise, research background, and publication record. They assess manuscripts based on academic contribution, originality, technical soundness, clarity, and alignment with the journal’s scope.

Review Timeline

  • Initial Screening by Editorial Team: 3–5 days

  • Peer Review Process: 2–4 weeks

  • Final Decision and Communication: Typically within 6 weeks of submission

Authors may be requested to revise their manuscripts according to reviewer feedback. Revised submissions are re-evaluated before the final acceptance decision.

QP-AIDSE is committed to maintaining the highest standards of research integrity and publication ethics. The journal strictly adheres to the principles and guidelines set by the Committee on Publication Ethics (COPE) in handling cases of publication misconduct or ethical disputes.