Artificial Intelligence and Machine Learning
- Supervised, Unsupervised, and Reinforcement Learning
- Ensemble Methods and Model Optimization
- Explainable AI (XAI)
- AI for Decision Support Systems
- AI in Edge and Embedded Devices
- Hybrid Intelligent Systems
IMPACT 2026
Call for Papers
Submit your original research and contribute to the future of Artificial Intelligence, Machine Learning, and Emerging Technologies.
IMPACT 2026: Intelligent Machine Processes and AI-Centric Technologies
IMPACT 2026 is envisioned as a dynamic forum that brings together academicians, researchers, industry professionals, and students to exchange ideas and explore the latest developments in Artificial Intelligence, Machine Learning, Data Science, and Emerging Technologies. The conference seeks to foster meaningful dialogue, knowledge exchange, and collaboration across academia and industry. Through insightful keynote addresses, research paper presentations, and engaging panel discussions, IMPACT 2026 will provide a platform for sharing innovative ideas, emerging research, and perspectives on the technologies shaping the future. Distinguished experts and eminent personalities from leading academic institutions and industries will be invited to share their expertise and inspire participants. By encouraging interdisciplinary collaboration and promoting a culture of research and innovation, IMPACT 2026 reflects the institute's commitment to advancing research excellence, technological innovation, and academic-industry collaboration.
Research Areas
Key Themes
Deep Learning and Neural Networks
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs), LSTMs, GRUs
- Transformer Architectures and Attention Mechanisms
- Generative Adversarial Networks (GANs)
- Deep Reinforcement Learning
- Lightweight and Efficient Deep Models
Natural Language Processing and Speech Processing
- Language Modeling and Word Embeddings
- Text Summarization and Question Answering
- Sentiment and Emotion Analysis
- Speech Recognition and Synthesis
- Multilingual and Low-Resource Language Processing
- Chatbots and Conversational AI
Computer Vision and Pattern Recognition
- Object Detection and Recognition
- Image and Video Processing
- Facial Recognition and Biometric Systems
- Scene Understanding and Image Captioning
- Document Image Analysis and OCR
- 3D Vision and Augmented Reality
Data Science and Big Data Analytics
- Data Preprocessing and Feature Engineering
- Predictive Modeling and Forecasting
- Statistical Learning and Time Series Analysis
- Anomaly Detection and Data Mining
- Scalable Data Pipelines and Streaming Analytics
- Real-Time Analytics and Visualization
Cloud Computing and Edge Intelligence
- Cloud-Native AI Systems
- Federated Learning
- Edge and Fog Computing Architectures
- Serverless AI and Model Deployment
- Resource-Constrained AI Models
- AI on IoT Edge Devices
Cybersecurity and Blockchain Technologies
- AI for Threat Detection and Intrusion Prevention
- Cryptography and Secure Computation
- Blockchain-Based Identity and Trust Management
- Privacy-Preserving Machine Learning
- Secure Federated Learning
- AI in Cyber Risk Assessment
Internet of Things (IoT) and Smart Systems
- Intelligent Sensor Networks
- Smart Cities and Smart Homes
- AI for Smart Healthcare and Wearables
- Industrial IoT and Automation
- Context-Aware and Ambient Intelligence
- IoT Security and Data Integrity
Robotics and Human-Machine Interaction
- Autonomous Navigation and Control
- Human-Robot Collaboration
- AI for Robotics Vision and Sensing
- Emotion Recognition in HMI
- Cognitive and Social Robotics
- Learning from Human Demonstrations
AI for Interdisciplinary and Social Applications
- AI in Healthcare and Medical Diagnosis
- AI in Agriculture and Precision Farming
- AI for Education and e-Learning
- AI for Environmental Monitoring and Sustainability
- AI in Finance and Insurance
- AI for Disaster Management and Crisis Response
AI Tools, Frameworks, and Methodologies
- Open-Source AI Platforms (e.g., TensorFlow, PyTorch)
- MLOps, AutoML, and Model Monitoring
- Benchmarking and Evaluation Techniques
- Dataset Design and Annotation Tools
- AI Ethics, Fairness, and Bias Mitigation
- Reproducibility and Responsible AI
Conference Schedule
Important Dates
| Submission Deadline | 15th October, 2026 |
| Notification of Acceptance | 25th October, 2026 |
| Camera-Ready Submission | 1st November, 2026 |
| Registration Deadline | 1st November, 2026 |
| Conference Dates | 4th & 5th December, 2026 |
Paper Submission Guidelines
- Original and unpublished research papers are invited.
- Follow the Springer conference paper format.
- At least one author must register and present the paper.
- All the accepted and presented papers will be submitted to publish as a proceedings of Springer ICT series. The Springer will do the final review and quality check to publish the paper in the proceedings. The organizers and Springer both have the right to discard the paper at any stage for any discrepancy. .
- Submission Link: https://cmt3.research.microsoft.com/2ndIMPACT2026
-
Templates Link:
- For Word File: Click Here
- For LaTeX File: Click Here
Conference Highlights: Best Paper Awards, Conference Kit for Participants, and Industry-Academia Networking Opportunities.
Further Details: For further details, please visit: IMPACT 2026 Website
Disclaimer: 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.