Call for Special Issues

All special issues have open call, dead line, and guest Editor. All submissions should be made using on-line submission system. For the special issues the Receiving date is dead line date and acceptance date is the final decision date for all manuscripts.

Guest editors are responsible for managing the papers and for the quality of the content. Every paper in issue must maintain the quality standards for the journal. Guest editors must follow Publication Ethics defined by COPE and PES.

Guest editors' responsibilities

The role of a guest editor in a special issue includes the following tasks:
• Selecting and editing the content of the special issue.
• Inviting authors and collecting papers.
• Communicating with authors to manage the publishing process.
• Editing and reviewing submitted papers to ensure quality and coherence.
• Coordinating with the journal's editor-in-chief.
• Conducting the peer review process and ensuring each paper is reviewed by at least two independent reviewers.
• Sending review results and editorial decisions to the editor-in-chief.
• Carefully considering and reporting any conflicts of interest among all participants in the review, decision-making, and publication process.
• Adhering to publishing ethics guidelines to ensure the integrity and credibility of the publication process.

Special Issue on “Trustworthy and Privacy-Aware Artificial Intelligence for Smart Applications”

This special issue is associated with the International Conference on “Artificial Intelligence, Secure Computing and Sustainable Technologies (ICAISCST 2026)” - on April 8-10, 2026.

This Special Issue aims to bring together cutting-edge research that addresses these challenges by focusing on trustworthy, explainable, and privacy-aware Artificial Intelligence models and systems. Emphasis is placed on theoretical advances, practical implementations, and real-world applications that ensure reliability, fairness, and societal impact. It seeks to promote innovative research that addresses real-world problems while supporting ethical, secure, and environmentally responsible technological development.

Topics of Interest

1. Machine Learning and Deep Learning Applications
2. Explainable, Trustworthy, and Ethical AI
3. Explainable and interpretable AI techniques
4. Privacy-preserving and federated learning approaches
5. Ethical and responsible AI frameworks
6. Robust and resilient AI systems
7. Human-centric Artificial Intelligence
8. Edge and distributed AI architectures
9. AI-driven decision-support systems
10. Intelligent applications in healthcare, agriculture, smart cities, and environmental monitoring

Important Dates
· Manuscript Submission: March 2, 2026
· Completion of Reviews: March 18, 2026
· Final Acceptance: March 25, 2026

Guest Editors

· Dr Amita Yadav, Department of Computer Science & Engineering, Maharaja Surajmal Institute of Technology, New Delhi, amita.yadav@msit.in
· Dr Kumar S.N, Professor, Department of EEE, Amal Jyothi College of Engineering, Kerala, snkumar@amaljyothi.ac.in

Special Issue on “AI-Driven Information and Engineering Systems: Innovations in Smart Automation and Data-Centric Technologies”

This Special Issue is associated with the International Conference on Information Management & Machine Intelligence (15-16 Dec 2025).

The Special Issue will highlight innovative engineering solutions enabled by artificial intelligence, intelligent computing, and advanced information management. It seeks contributions that demonstrate how AI and data-driven methodologies enhance design, analysis, optimization, and decision-making across core engineering domains. The scope includes, the following thematic areas:

Topics of interest include:

1. AI, machine learning, deep learning, and data analytics
2. Intelligent software systems, decision-support platforms, and cognitive computing
3. Big data processing, knowledge engineering, and intelligent information management
4. Industrial automation and smart manufacturing systems
5. IoT-enabled sensing, monitoring, and control
6. Cyber-physical systems, autonomous systems, and adaptive robotics
7. Digital twins and real-time intelligent monitoring architectures
8. AI-driven communication and networking solutions
9. Wireless sensor networks, smart connectivity, and edge intelligence
10. Network security, information assurance, and AI-based cybersecurity mechanisms

Important Dates:
· Submission Window: December 2025 – January 31, 2026
· Peer Review & Revisions: January – February 2026
· Final Acceptance: March 2026

Guest Editorial Board:

Chief Guest Editor: Dr. Dinesh Goyal, Poornima Institute of Engineering & Technology, Jaipur, India; dinesh.goyal@poornima.org

Guest Editors:
  · Dr. Anil Kumar, Poornima Institute of Engineering & Technology, Jaipur, India; anilkumar@poornima.org
  · Dr. Uday Pratap Singh, University of Allahabad, India; udaypratap@allduniv.ac.in
  · Prof Dharm Singh, Namibia University of Science & Tech., Namibia; dsingh@nust.na

Special Issue on Artificial Intelligence and Machine Learning: Foundations, Frontiers, and Futures

This special issue aims to explore the transformative impact of Artificial Intelligence (AI) and Machine Learning (ML) across the engineering sciences. As intelligent systems increasingly permeate design, manufacturing, infrastructure, and automation, the need for robust, scalable, and interpretable AI/ML solutions has never been greater. The issue invites original research, reviews, and case studies that delve into foundational algorithms, emerging architectures, and interdisciplinary applications—from predictive modeling and smart materials to autonomous systems and digital twins. Emphasis will be placed on innovations that bridge theory and practice, foster human–machine collaboration, and address ethical, sustainable deployment of intelligent technologies in engineering contexts.

Topics of interest include:

1. Core Algorithms and Learning Paradigms: Advances in supervised, unsupervised, and reinforcement learning; optimization techniques and neural architectures.
2. AI and ML in Engineering Applications: Intelligent systems for design, simulation, control, and predictive maintenance across mechanical, civil, electrical, and other engineering domains.
3. Explainable and Ethical AI: Interpretability, fairness, transparency, and responsible deployment of AI/ML models in engineering systems.
4. Edge Computing and Embedded Intelligence: Lightweight ML models for real-time decision-making in resource-constrained environments and cyber-physical systems.
5. Human–Machine Collaboration and Cognitive Interfaces: Adaptive systems, brain–computer interfaces, and AI tools that enhance human decision-making and creativity in engineering workflows.
6. Cyber Security using Artificial Intelligence: AI & ML based Application in Cyber security, Attack detection using AI, AI in cloud security and threat monitoring, AI-Enabled Firewall Management, and Quantum resistant AI cybersecurity solutions.
7. Quantum Computing: Quantum-enhanced algorithms with machine learning, Quantum Support Vector Machines, Quantum Principal Component Analysis, Quantum k-means clustering, Variational Quantum Circuit design for optimization, and Quantum Neural Networks.

Important Dates:
· Manuscript Submission Deadline: December 31, 2025
· Notification for decision: Mar 25, 2026
· Revision Due: April 10, 2026
· Announcement of Acceptance by Guest Editor: May 10, 2026
· Final Manuscript Due: May 30, 2026

Guest Editors:

· Dr. Shweta Sankhwar, Department of Computer Science, Maitreyi College(University of Delhi), New Delhi, India; shweta.sank@gmail.com
· Dr. Satyasundara Mahapatra, Department of computer Science and Engineering, Pranveer Singh Institute of Technology, Kanpur, Uttar Pradesh, India. satyasundara123@gmail.com