PUNECON 2025
This conference aims to provide a technical platform for researchers across the globe to present their innovative ideas and share technical knowledge. The theme of the conference is Generative Futuristics System. This conference encourages original papers in the diversified domains pertaining to the field of technological advancements. The participants will be benefited by experiencing recent accomplishments and innovations.
Paper Submission
All accepted, registered and presented papers will be submitted to IEEE for possible inclusion in IEEE Xplore® digital library.
CALL FOR PAPER
IMPORTANT DATES
Earlier IEEE PuneCon Publications Proceedings and also Scopus Indexed
IEEE PUNECON
https://ieeexplore.ieee.org/xpl/conhome/1829344/all-proceedings
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.
Conference Tracks
🔸 Track 1: Foundations of Intelligent Systems
🔸 Track 2: Systems Engineering for AI-Driven Applications
🔸 Track 3: Emerging Computing Paradigm
🔸 Track 4: Generative Social Engineering
🔸 Track 5: Platforms, Frameworks, and Developer Ecosystems
🔸 Track 6: Security, Ethics & Governance
🔸 Track 7: Disruptive Technologies & Future Directions
Foundations of Intelligent Systems Delves into the core models powering generative AI—foundation models, LLMs, GANs, diffusion models, and multimodal learning—with a focus on theory, architecture, and optimization. Exploring the theoretical and architectural bedrock of generative AI.
- Deep Learning: Architectures and Advances
- Foundations of Generative AI
- Data, Models, and Optimization
- Computational Neuroscience and Cognitive Models
- Large Language Models and Foundation Models
- GANs, Diffusion Models, and Variants
- Multimodal AI and Cross-Modal Learning
- Continual, Few-Shot, and Zero-Shot Learning
- Knowledge Graphs and Neuro-symbolic Reasoning
Systems Engineering for AI-Driven Applications
Focuses on integrating generative AI into cyber-physical systems, digital twins, smart factories, and autonomous infrastructures across sectors like manufacturing, healthcare, and transportation. Real-world systems that integrate AI at the edge, cloud, and device layers. Engineering the infrastructure and intelligence behind smart systems.
- Computer Vision and Sensor Fusion
- AI in Industrial, Automotive, and Embedded Systems
- Smart Cities, IoT, and Adaptive Environments
- Robotics, Actuation, and Real-Time Decisioning
- Digital Twins and Simulation-Driven AI
- Smart Factories and Industrial IoT
- Autonomous Systems: Robotics, Drones, Vehicles
- Cyber-Physical Systems and Human-Machine Interaction
- Generative AI for Healthcare, Manufacturing, and Logistics
Emerging Computing Paradigm
Explores cutting-edge computational models driving the future—from quantum and neuromorphic computing to edge intelligence—enabling scalable and energy-efficient generative technologies. Exploring the next frontier in computation. Pioneering the computational backbone of generative intelligence.
- Quantum, Neuromorphic, and Bio-Inspired Computing
- Edge, Fog, and Swarm Intelligence
- Distributed Computing and Collaborative Platforms
- AI for High-Performance and Cloud-Native Systems
- Quantum Computing and Quantum AI
- Neuromorphic and Brain-Inspired Computing
- Edge AI and Energy-Efficient Architectures
- Hyperdimensional & Holographic Computing
- Bio-Computing and Synthetic Neural Systems
Generative Social Engineering
Investigates the impact of generative AI on human interaction, behaviour manipulation, and communication—covering deepfakes, persuasion algorithms, synthetic media, and digital influence strategies. Understanding the societal dynamics influenced by generative content.
- Generative AI: Models and Techniques
- Generative Social Engineering and Behavioral AI
- Generative Sustainable Systems
- Large Language Models & Diffusion Systems
- Prompt Engineering and Human-AI Collaboration
- Behavioral Influence and Digital Persuasion
- NLP for Narrative Shaping and Sentiment Control
- Social Media Bots and Propaganda Detection
- Generative Memes, Avatars, and Virtual Personas
- Synthetic Journalism and AI-Driven Storytelling
Platforms Frameworks & Developer Ecosystems
Covers tools, SDKs, APIs, and cloud-native platforms for building, training, and deploying generative systems—including AutoML, open-source stacks, scalable MLOps, and ethical prompt engineering. Engineering, building, and scaling with the right tools and platforms.
Tools and systems empowering the creators of generative intelligence.
- Toolkits and Frameworks for Generative AI
- Scalable AI/ML Pipelines
- Open Source and Low-Code Platforms
- Deployment, Monitoring, and MLOps
- LLM Toolkits and Prompt Engineering Pipelines
- AutoML and No-Code/Low-Code GenAI Platforms
- Open Source Libraries and API Frameworks
- Scalable MLOps and Cloud-Native Architectures
- GPU/TPU Optimization and Model Compression
Security, Ethics & Governance
Addresses the ethical, legal, and social challenges of generative AI—including misinformation, privacy, bias, and responsible innovation—while exploring frameworks for global governance and regulation. Policy, security, and human alignment in an AI-driven world. Ensuring trustworthy, transparent, and secure generative technologies.
- Ethics in Generative AI
- Trust, Bias, and Accountability
- Cybersecurity in Intelligent Systems
- Governance, Regulation, and Public Policy
- Deepfake Detection and Synthetic Media Validation
- AI Policy, Regulation, and Global Governance
- Privacy-Preserving Generative AI
- Fairness, Bias Mitigation, and Ethical Frameworks
- Responsible Deployment and Compliance Models
Toolkits, Frameworks, and Platforms for Generative Engineering
- Ethics in Generative AI
- Trust, Bias, and Accountability
- Cybersecurity in Intelligent Systems
- Governance, Regulation, and Public Policy
- Deepfake Detection and Synthetic Media Validation
- AI Policy, Regulation, and Global Governance
- Privacy-Preserving Generative AI
- Fairness, Bias Mitigation, and Ethical Frameworks
- Responsible Deployment and Compliance Models
Disruptive Technologies & Future Directions
Highlights interdisciplinary breakthroughs shaping the next decade, such as metaverse ecosystems, bio-computing, holographic interfaces, and AI-augmented reality for education, defense, and space. The convergence of tech frontiers that will define the next decade. Exploring revolutionary ideas and cross-disciplinary breakthroughs.
- Distributed Ledger Technologies
- Human-AI Symbiosis and Augmentation
- Cross-domain Intelligence Systems
- Convergence of AI, AR/VR, and Metaverse
- Tech Foresight and Futures Thinking
- AI in Metaverse and Virtual/Augmented Reality
- Holography, Mixed Reality, and Immersive Interfaces
- Bio-AI Integration and Genetic Algorithm Applications
- AI for Space, Defense, and Climate Engineering
- Cross-Domain Intelligence and Autonomous Discovery
Author Instructions:
Please comply with the following guidelines:
- All papers must be in English.
- The paper must discuss only new and previously unpublished results.
- The paper must be formatted according to the IEEE Manuscript Templates for Conference Proceedings, have a minimum of four pages, and must not exceed 6 pages, including figures and references.
- The paper must address at least one category specified in the Call for Papers.
Additional guidelines:
- The plagiarism check will be done on all submitted papers. Plagiarism and self-plagiarism applies to all previously published work, irrespective of whether the other publication is inside or outside of IEEE. We are very serious about Plagiarism Content; we accept only original articles. The article may be rejected at any time if found plagiarized. For more information refer IEEE page – Plagiarism FAQs.
- All papers that are accepted must be presented at the conference. In case a paper is not presented at the conference, it shall be deemed a “no-show.” No-shows will be removed from post-conference distribution.
- All accepted, registered, and presented papers will be submitted to IEEE for possible inclusion in IEEE Xplore® digital library.