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

An International Peer-Reviewed Journal Advancing Research in AI, Data Science, and Systems Engineering

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 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.

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.

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.

Journal Paper Publication Process

A simple 3-step process including submission, peer review, and final publication to ensure quality and originality.

01. Manuscript Submission

Authors prepare their research paper according to the journal’s guidelines and submit it online through the official submission portal or via email. The editorial team acknowledges receipt and performs an initial screening for scope, formatting, and plagiarism checks.

02. Peer Review & Revision

Submitted manuscripts are sent to subject experts for thorough double-blind peer review. Reviewers evaluate originality, methodology, clarity, and contribution to the field. Based on feedback, authors may be asked to revise and resubmit their paper before final acceptance.

03. Acceptance & Online Publication

Once the paper is accepted after successful review and revision, it undergoes copyediting, formatting, and final proofreading. The article is then published online in the upcoming issue and made accessible to the global research community.