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 “Trends on Artificial Intelligence”
This special issue is correlated with the International Conference on “Trends on Artificial
Intelligence Technology (TAT-2026)” – April 10-11, 2026.
This Issue specially mentions the current and future trends and innovations in artificial
intelligence technology. The integration of AI in healthcare, smart infrastructure, finance,
industrial automation, cybersecurity, and environmental and renewable systems paves the way for
reshaping modern society. Artificial Intelligence (AI) is undergoing rapid evolution, driven by
computational power, large-scale data availability, and novelty in algorithm frameworks. The
correlation of human, AI, and technologies may bring about an emerging development in the human
environment.
This proposal seeks innovative research with original contributions on the topics below (but not
limited to them):
- AI Communications networks and Big data
- AI in Healthcare & Ambient Intelligence
- Deep Learning & Hybrid Intelligent Systems
- Education & Evolutionary Computing
- Artificial Intelligence in Modelling and Simulation
- Bioinformatics and Computational Biology
- Cyber Security AI and Cognitive Cyber-Physical System
- Computer Vision & Intelligent User Interfaces
- Data Mining & Fuzzy Systems
- Power systems and smart grids
- Industrial Applications of AI & renewable energy systems
- Knowledge-Based Systems, Machine Learning, Representation and Reasoning
- Robotics & Web Intelligence
- VLSI and embedded systems
Important Dates:
Submission deadline: May 20, 2026
1. Dr. Ahilan A, Associate Professor, PSN College of Engineering & Technology, Tirunelveli.
akhilanappathurai@psncet.ac.in
2. Dr. Jafar A Alzubi, Associate Professor, Al-Balqa Applied University, Jordan.
j.zubi@bau.edu.jo
3. Dr. Ghazanfar Ali Safdar, Senior Lecturer in Computer Networking, University of Bedfordshire, UK.
ghazanfar.safdar@beds.ac.uk
Special Issue on “AI-Driven Intelligent Systems and Machine Learning Applications” (ICCAIML 2026)
This Special Issue is associated with the International Conference on Computation of Artificial
Intelligence & Machine Learning (ICCAIML 2026), a premier platform for researchers,
academicians, and industry experts to share advancements in AI and ML. The conference emphasizes
cutting-edge research, interdisciplinary applications, and real-world deployment of intelligent
systems.
The Special Issue focuses on scalable, efficient, and interpretable AI-driven solutions across
engineering and computational domains. It invites original research, reviews, and case studies
covering theoretical developments, innovative methodologies, and practical implementations.
Key areas include AI algorithms, machine learning models, deep learning, explainable AI, robotics,
computer vision, NLP, data analytics, and emerging applications in healthcare, smart infrastructure,
and automation. Emphasis is also given to ethical AI, robustness, and sustainable intelligent
systems.
Important Dates:
Submission: April 2026 | Review: September 2026 | Acceptance: October 2026 | Publication: 30
December 2026
• Dr. Varun Tiwari (Chief Guest Editor)
• Dr. Pramod Kumar Soni
• Dr. Govind Murari Upadhyay
• Dr. Amit Kumar Bairwa
Special Issue on “Sustainable Management and Advanced Research Technologies: Engineering Innovations for Intelligent, Resilient, and Sustainable Systems”
This Special Issue is associated with the International Conference on Sustainable Management and
Advanced Research Technologies (IC-SMART-2026).
The Special Issue aims to showcase cutting-edge engineering research and advanced technological
solutions that integrate sustainable management principles with intelligent, data-driven, and
resilient engineering systems. It seeks high-quality contributions demonstrating how advanced
research technologies, AI-enabled approaches, and smart engineering practices address contemporary
challenges such as climate resilience, digital transformation, and resource optimization.
The scope of the Special Issue spans multidisciplinary engineering domains with an emphasis on
sustainability, intelligence, and system resilience.
Topics of interest include (but are not limited to):
- Sustainable engineering design and ESG-aligned management practices
- Resource-efficient systems and circular economy models
- Climate-resilient infrastructure and green engineering technologies
- Renewable energy systems and smart grid architectures
- Environmental sensing, monitoring, and carbon-efficient technologies
- Artificial intelligence, machine learning, and data-driven engineering solutions
- Predictive analytics, digital twins, and decision-intelligence platforms
- IoT-enabled systems, smart automation, and cyber-physical systems
- Intelligent manufacturing and industrial automation
- Engineering applications in mechanical, civil, electrical, materials, and electronics domains
- Submission Window: March 15, 2026
- Peer Review & Revisions: April 2026
- Final Acceptance: May 2026
- Publication of Special Issue: June 30, 2026
Chief Guest Editor
Dr. Vijay Kalmani
Professor, Rajarambapu Institute of Technology, Rajaramnagar, Maharashtra, India
Guest Editors
• Dr. Dinesh Goyal
Professor & Principal, Poornima Institute of Engineering & Technology, Jaipur, India
• Dr. Valentina E. Balas
Professor, “Aurel Vlaicu” University of Arad, Romania
• Dr. Victor Hugo C. de Albuquerque
Federal University of Ceará, Brazil
• Dr. Anil Kumar
Professor & Principal, Poornima Institute of Engineering & Technology, Jaipur, India
• Dr. Uday Pratap Singh
University of Allahabad, Prayagraj, India
Special Issue on “Big Data, Blockchain, and Economy Management”
This Special Issue is associated with the 5th International Conference on Big Data, Blockchain,
and Economy Management (ICBBEM 2026).
The conference will take place from March 13–15, 2026. For more details, please visit the official
website: https://www.icbbem.com/.
This Special Issue invites high-quality original research contributions addressing advancements in
big data technologies, blockchain systems, and intelligent economy & digital management. Accepted
papers will be published in Proceedings on Engineering Sciences (PES), subject to the journal’s
rigorous peer-review process and indexing policies.
Conference Tracks / Topics of Interest:
- Track 1: Big Data and Intelligent Analytics
- Track 2: Intelligent Economy and Digital Management
- Track 3: Blockchain Systems and Applications
Important Dates:
Manuscript Submission Deadline: February 28, 2026
(Other key dates such as notification of acceptance, registration, etc. – please refer to the
conference website for the full schedule.)
Prof. Ts. Dr. Md. Asri bin Ngadi
Universiti Teknologi Malaysia, Malaysia
dr.asri@utm.my
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
- Machine Learning and Deep Learning Applications
- Explainable, Trustworthy, and Ethical AI
- Explainable and interpretable AI techniques
- Privacy-preserving and federated learning approaches
- Ethical and responsible AI frameworks
- Robust and resilient AI systems
- Human-centric Artificial Intelligence
- Edge and distributed AI architectures
- AI-driven decision-support systems
- 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
· 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:
- AI, machine learning, deep learning, and data analytics
- Intelligent software systems, decision-support platforms, and cognitive computing
- Big data processing, knowledge engineering, and intelligent information management
- Industrial automation and smart manufacturing systems
- IoT-enabled sensing, monitoring, and control
- Cyber-physical systems, autonomous systems, and adaptive robotics
- Digital twins and real-time intelligent monitoring architectures
- AI-driven communication and networking solutions
- Wireless sensor networks, smart connectivity, and edge intelligence
- 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
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.
- Core Algorithms and Learning Paradigms: Advances in supervised, unsupervised, and reinforcement learning; optimization techniques and neural architectures.
- AI and ML in Engineering Applications: Intelligent systems for design, simulation, control, and predictive maintenance across mechanical, civil, electrical, and other engineering domains.
- Explainable and Ethical AI: Interpretability, fairness, transparency, and responsible deployment of AI/ML models in engineering systems.
- Edge Computing and Embedded Intelligence: Lightweight ML models for real-time decision-making in resource-constrained environments and cyber-physical systems.
- Human–Machine Collaboration and Cognitive Interfaces: Adaptive systems, brain–computer interfaces, and AI tools that enhance human decision-making and creativity in engineering workflows.
- 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.
- 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
· 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
