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.
Latest Publications
| S.No. | Article Title and Author(s) Name | Download |
|---|---|---|
| 1 | Reinforcement Learning With Transparent Policies: An Explainable AI Approach To Adaptive Cyber Security Author : Dr. M. Anjan Kumar | Download Article |
| 2 | Deep Learning-Based Automated System For Early Detection Of Plant Diseases Author : Dr. K. Chandrasena Chary | Download Article |
| 3 | Designing An Ethical Data Science Framework For Responsible And Transparent AI Integration Author : Dr. Burla Srinivas | Download Article |
| 4 | Transforming Black Box Models Into Transparent Systems Through Explainable AI Methods Author : B. Veena | Download Article |
| 5 | Reversible Image Data Hiding With Contrast Enhancement Authors : B. Saisindhu, Dr. Vootla Sridhar | Download Article |
| 6 | Dynamic Web Service Suggestion Model Leveraging User Preferences And Collaborative Learning Author : Sangyam Soundarya | Download Article |
| 7 | Deep Fake Challenges In E-KYC: A Realistic Dataset For Training And Testing Verification Models Authors : V. Vedha Reddy, Dr. Md Sirajuddin | Download Article |
| 8 | Protecting Medical Images: A Robust Approach to Encrypted Dicom Data Transmission Author : Dr. B. Srinivasa Rao | Download Article |
| 9 | Predictive Modeling For Cardiovascular Health: A Survey On Deep Learning Approaches Author : Dr. Sk. Yakoob | Download Article |
| 10 | Deep Learning-Based Abnormal Traffic Detection Using Big Step Convolution and Attention Blocks Author : V. Guru Prasad | Download Article |
COVER PAGE
Journal Information
Title: Quantum Pulse: Journal of AI, Data Science & Systems Engineering (QP-AIDSE)
Frequency: Bi-Annual (January, July)
ISSN (Online): 3108-1061
Publisher: NOVARA PUBLISHERS
Address: #605, JASMINE BLOCK, RDB COCONUT GROVE, Dynamics Colony, Mayuri Nagar, Hyderabad, Telangana 500049.
Editor-in-Chief: Dr. Kishor Kumar Gajula, Mother Theressa College of Engineering & Technology
Email: kishore@mtec86.ac.in
Copyright: Quantum Pulse: Journal of AI, Data Science & Systems Engineering
Year of Start: 2025
Subject: Computer Science
Language: English
Format: Online
Phone: +91 9030161092
Email: editor@qpjournal.org
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
Journal Paper Publication Process
A simple 3-step process including submission, peer review, and final publication to ensure quality and originality.
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.
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.
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.