Full Paper Submission Dead Line: 31st May 2025

Acceptance Notification: 30th June 2025

Registration Due Date : 2nd July 2025

Camera Ready Submission: 2nd July 2025

Conference Date: 25th & 26th July 2025

International conference on Harnessing AI , Quantum computing and autonomous systems for a sustainable future (ICAQASF-2025)

25th - 26th July 2025

Last Date for Paper Submission: 31st May 2025

Organized by Dept. of CSE/ECE/AI & DS

Call For Papers

Authors are solicited to contribute to the conference by submitting the original unpublished articles in the following areas, but not restricted to:

AI and Data Science for Intelligent Systems

AI-Powered Predictive Analytics for Smart Decision-Making
Deep Learning Applications in Healthcare, Finance, and Industry
Natural Language Processing for Human-Machine Interaction
Computer Vision for Autonomous Systems and Surveillance
Ethical AI: Bias, Fairness, and Transparency in AI Models
Reinforcement Learning for Robotics and Smart Automation
AI-Driven Digital Twins for Smart Manufacturing and Industry 4.0
Generative AI and Its Applications in Automation and Creativity
AI for Sustainable Energy Management and Climate Change Mitigation
AI-Powered Chatbots and Virtual Assistants for Smart Services
Federated Learning for Privacy-Preserving AI Systems
AI in Personalized Medicine and Genomic Data Analysis
Human-Centered AI: Bridging the Gap Between AI and Society

Quantum Computing and Emerging Technologies

Quantum Machine Learning: Bridging AI and Quantum Computing
Quantum Cryptography for Securing Future AI Systems
Quantum Computing in Optimization and Simulation Problems
Hybrid AI-Quantum Algorithms for Next-Gen Computing
Quantum Sensors and Their Role in Intelligent Systems
Challenges and Opportunities in Quantum AI Research
Quantum Computing for Big Data Analytics and Processing
AI-Assisted Quantum Error Correction Techniques
Superconducting Qubits and Emerging Quantum Architectures
Social Media Analytics
Cyberspace Operations
Bioinspired Computing
VR and AR in various industries, such as gaming, healthcare, education, and marketing

Embedded Systems, IoT, and Autonomous Electronics

AI at the Edge: Real-Time Processing in IoT Devices
Smart Sensors and Embedded AI for Automation
AI-Driven Autonomous Vehicles and Robotics
Energy-Efficient AI Hardware and Neuromorphic Computing
AI and IoT Integration for Smart Cities and Sustainable Infrastructure
5G and Beyond: AI-Powered Wireless Communication Networks
Low-Power AI Chips and Hardware Acceleration for Edge Computing
AI-Driven Smart Grid Optimization and Energy Efficiency
Real-Time AI for UAVs and Autonomous Drones
Embedded AI for Human Activity Recognition and Assistive Technologies
Wireless Networks
· Mobile Cloud Computing (MCC) and IoT
· Next Generation Networks
· Fog/Cloud-Based IoT Architectures
· Machine-To-Machine, Device-To-Device, Vehicle-To-Vehicle Communications
· AI/ML for Smart/Intelligent Communication Networks
· Signal Processing and Imaging Systems
· GIS and Remote Sensing

Economics and Data Analytics

Regression/Classification

Time series forecasting

Predictive analytics for forecasting economic indicators

Machine learning algorithms for credit scoring and risk management

Big Data on economic policy-making

AI-Driven Cybersecurity and Privacy in Connected Systems

AI-Based Intrusion Detection and Threat Prevention
Quantum-Safe Encryption for Securing AI Networks
Privacy-Preserving AI: Federated Learning and Homomorphic Encryption
Cybersecurity Challenges in AI-Powered IoT Ecosystems
Blockchain and AI for Decentralized Security Solutions
AI-Enabled Fraud Detection and Risk Management
AI for Threat Intelligence and Cyber Attack Prediction
Deep Learning for Network Anomaly Detection and Security Analytics
Network security
Big data security
Secure cloud computing
Data protection
Mining text and semi-structured data
Multimedia mining (audio/video)
Wireless and mobile security
Temporal and spatial data mining

Machine learning

General Machine Learning

Advances in Machine Learning: Theory & Applications
Cutting-Edge Developments in ML
ML for Everyone: From Theory to Practice

Deep Learning & Neural Networks

The Future of Deep Learning
Transformer Models & Beyond
Neural Network Innovations

AI & ML Applications

ML in Healthcare: Saving Lives with AI
Finance & AI: Risk, Reward, and Regulation
AI in the Creative Industry: Art, Music, and Writing

Ethics & Responsible AI

Explainable AI: Making ML Transparent
Bias & Fairness in Machine Learning
AI Ethics: Building Trust in Intelligent Systems

Industry & Engineering

ML in Production: Scaling AI Solutions
MLOps: Best Practices for Model Deployment
Edge AI: Machine Learning Beyond the Cloud

Emerging Trends & Research

Quantum Machine Learning: The Next Frontier
Self-Supervised Learning: The Future of AI?
Automated Machine Learning (AutoML): ML Without Data Scientists?

Important Dates

Full Paper Submission Dead Line: 31st May 2025
Acceptance Notification: 30th June 2025
Registration Due Date : 2nd July 2025
Camera Ready Submission: 2nd July 2025
Conference Date: 25th & 26th July 2025

Venue

S M Jayaram Memorial Hall

East Point College of Engineering and Technology (EPCET)

Jnanaprabha Campus, Bidarahalli, Virgonagar Post

Bangalore-560049, Karnataka

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