Submission Deadline: 01 October 2025 View: 138 Submit to Special Issue
Prof. Dr. Biswajeet Pradhan
Email: Biswajeet.Pradhan@uts.edu.au
Affiliation: School of Civil and Environmental Engineering, University of Technology Sydney, Sydney, NSW 2007, AUSTRALIA
Research Interests: Complex modeling/geo-computing, machine learning, and soft-computing applications Geospatial Information Systems (GIS), remote sensing and image processing, natural hazards and environmental modeling, and remote sensing of Earth observationComplex modeling/geo-computing, machine learning, and soft-computing applications Geospatial Information Systems (GIS), remote sensing and image processing, natural hazards and environmental modeling, and remote sensing of Earth observation
Prof. Dr. Shilpa Bade-Gite
Email: shilpa.gite@sitpune.edu.in
Affiliation: AIML Department, Symbiosis Centre for Applied AI (SCAAI), Symbiosis International (Deemed University), Pune, 412115, INDIA
Research Interests: Machine Learning, Applied AI, Deep Learning advances, Explainable AI, Computer Vision
The Journal of CMES - Computer Modeling in Engineering & Sciences invites contributions to a Special Issue titled “Emerging Frontiers in Advanced AI, Machine Learning, and Large Language Models: Bridging Knowledge Gaps in Computer Science Engineering.” This Special Issue seeks to capture and present pioneering research on the latest advancements in computer science, exploring how transformative technologies and methodologies are addressing critical knowledge gaps across various domains.
With rapid technological evolution, disciplines such as Advanced Artificial Intelligence, Machine Learning (ML), and Large Language Models (LLMs) are fundamentally transforming industries and academic research, from healthcare and finance to education and smart cities. Our aim is to provide a platform for exploring not only how these technologies are applied but also how they uncover and bridge critical knowledge gaps, guiding next-generation solutions in computer science engineering.
We welcome submissions of original research, reviews, and case studies that address the following topics and their applications across various domains:
● Advanced Artificial Intelligence and Machine Learning Models
● Large Language Models (LLMs) and their applications
● Knowledge Gaps in AI/ML and emerging methodologies to address them
● Edge Computing and Distributed AI Systems
● Quantum Computing and its integration with AI
● Cybersecurity, Blockchain, and Privacy-preserving AI
● Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality applications
● Internet of Things (IoT), Smart Sensors, and 5G-enabled solutions
● Data Science, Big Data Analytics, and Digital Twin Technology
● Natural Language Processing (NLP) and Conversational AI
● Technology-Driven E-Governance, Financial Systems, and Smart Cities
● Cross-Industry Solutions in Health Informatics, Environmental Monitoring, and Autonomous Systems
● Generative AI applications
● Big Data Analytics and its case studies
● Sustainable AI solutions
This Special Issue will explore how these advanced technologies are driving innovation across a wide array of applications, uncovering and addressing critical knowledge gaps, and creating new research paths in computer science engineering. We encourage submissions that provide unique insights, scalable models, or interdisciplinary approaches to these pressing technological challenges.
Join us in shaping the discourse on these transformative trends and contributing insights that will guide the future of intelligent, resilient, and knowledge-driven systems.
Login
Register
Submit a Paper
Propose a Special lssue