The Technical Program Committee (TPC) is responsible for the technical quality of the conference, including paper selection and program organization.
- Review Type: A rigorous double-blind peer review process will be employed for all submissions.
- Anonymization: Submitted manuscripts must not list author names, affiliations, or any personally identifiable information.
- Plagiarism Screening: All submissions will undergo mandatory plagiarism screening as per IEEE guidelines. Papers violating ethics will be desk-rejected.
- Review Criteria: Submissions will be judged on correctness, originality, technical strength, significance, potential impact, quality of presentation, and relevance to the conference scope.
- Reviewer Pool: A pool of 29 qualified external reviewers will ensure a robust review process.
- Reviews per Paper: Each paper will receive a minimum of 2 reviews.
- Paper Volume & Acceptance: We anticipate approximately 200 submissions, with a target acceptance rate of 40%.
Technical Tracks (NGCAPS-2027)
Theme and areas to be covered by the conference along with Tracks and probable Chairs and if possible, to which Society(ies) of IEEE the areas precisely belong, as areas may be under one or more Societies of IEEE:
This detailed breakdown of technical tracks is perfect for establishing the credibility and focus of NGCAPS-2027 at Lovely Professional University. Here is a comprehensive response aligning the tracks with probable IEEE Societies, suggesting a structure for chairs, and integrating them with LPU's research ecosystem.
Conference Theme : Advancing Intelligence for a Smarter Digital Future
IEEE Society Alignment for Technical Tracks
The proposed tracks align precisely with the following IEEE Societies, which can be targeted for technical sponsorship, co-branding, and expert chair appointments.
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Next-Generation Network Technologies and 6G Protocols:
Ultra-low latency, massive connectivity, and intelligent network management for future communication systems. 6G aims to support AI-native infrastructure, tactile internet, and seamless integration of terrestrial and satellite networks. -
Trustworthy and Explainable AI:
Development of transparent, interpretable, and accountable AI models. Ensures ethical deployment of AI systems through bias mitigation, fairness, and regulatory compliance. -
Quantum Computing and High-Performance Architectures:
Computational models leveraging quantum mechanics, Explores supercomputing platforms and parallel processing architectures and large-scale computations. -
Edge–Cloud Synergies and Federated Learning:
Integration of edge and cloud resources, Federated Learning ,data privacy across distributed nodes. -
Intelligent Human–Computer Interaction (HCI):
Adaptive, multimodal interfaces and cognitive system, brain–computer interfaces, augmented/virtual reality, and emotion-aware computing. -
IoT and Autonomous Cyber-Physical Systems:
Interconnected smart devices and embedded systems , communication and autonomous decision-making, Smart environments in healthcare, transportation, and manufacturing etc. -
Scalable Data Science and Predictive Analytics:
Scalable frameworks and algorithms for big data , trends, and actionable insights, real-time analytics, feature engineering, and model interpretability. -
Blockchain and Security:
Decentralized architectures, transparent and tamper-resistant transaction systems. Reliability and formal verification of smart contracts. -
Cyber security Models and Cryptographic Techniques:
Cyber security Models, homomorphic encryption, multiparty computation, and differential privacy. -
Software Engineering and CI/CD Automation:
Contemporary Software Engineering, modern software development life cycles. DevOps practices. CI/CD pipelines, testing, and delivery of scalable software solutions. -
Image Processing and Computer Vision
Analyzing, enhancing, and transforming images, segmentation, pattern recognition etc., medical imaging, surveillance, and remote sensing, visual information , autonomous navigation, facial recognition, and video analytics. -
Natural Language Understanding (NLU):
Semantic interpretation of human language , machine translation, sentiment analysis, and conversational AI systems. -
Data Mining:
Extracting hidden patterns and knowledge , machine learning, and database techniques, decision-making and recommendation systems. -
Large-Scale Information Retrieval Systems:
Indexing, querying, and retrieving relevant information, powers search engines, digital libraries, and enterprise knowledge management platforms.
