Important Dates

CALL FOR PAPER

CALL FOR PAPER

Timeline

Important Dates

Call for Papers Opens

1^st December 2025

Paper Submission Deadline

15^th March 2026

Notification of Acceptance

15^th May 2026

Camera-Ready Paper Submission

15^th June 2026

Early Bird Registration Deadline

15^th June 2026

Regular Registration Deadline

15^th July 2026

Conference Dates

16^th - 18^th October 2026

Submission Guidelines

Authors are kindly invited to submit their formatted full papers including results, tables, figures and references.

Paper submissions will be done through Microsoft CMT.

Submit Paper

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.

Author Guideline for the Paper Submission : Advisory guidelines for the author to read before the submit paper.

Paper Submission Guidelines

Tracks

Conference Tracks – LEARN 2026

LEARN 2026 features a wide range of tracks covering Artificial Intelligence, Robotics, Networking, Data Science, and Emerging Technologies, but is not limited to these areas. The conference welcomes all innovative and interdisciplinary research in computing, automation, and intelligent systems. Each track provides a platform for researchers, innovators, and industry professionals to share ideas, present original work, and foster collaboration. Participants can engage through presentations, workshops, and panel discussions, contributing to a vibrant exchange of knowledge across established and emerging fields.

Track 1 Track 2 Track 3 Track 4 Track 5 Track 6

Track 1: Artificial Intelligence & Machine Learning

Deep Learning Architectures
Convolutional Neural Networks (CNNs)
Recurrent Neural Networks (RNNs)
Transformer Models & Attention Mechanisms
Natural Language Processing (NLP)
Sentiment Analysis & Text Mining
Speech Recognition & Synthesis
Reinforcement Learning & Q-Learning
Generative AI & GANs
Explainable AI (XAI)
AI in Healthcare & Bioinformatics

AI for Industry 4.0
Predictive Modeling & Forecasting
AI in Finance & Business Analytics
AI for Cybersecurity
AI in Education & EdTech
Cognitive Computing & Knowledge Representation
Meta-Learning & AutoML
AI for Social Good
TinyML & AI on Edge Devices
Hybrid AI Models (Symbolic + Data-driven)

Track 2: Robotics & Autonomous Systems

Humanoid Robots
Service Robots
Industrial Robotics
Collaborative Robots (Cobots)
Swarm Robotics
Multi-Robot Systems
Mobile & Autonomous Robots
Autonomous Vehicles & Drones
Underwater & Aerial Robotics
Soft Robotics
Rehabilitation & Assistive Robotics

Robotic Manipulation & Grasping
Robotic Vision & Sensor Integration
Human-Robot Interaction (HRI)
Robotics in Healthcare
Robotics in Agriculture & Farming
Robotics in Manufacturing & Industry 4.0
SLAM (Simultaneous Localization and Mapping)
Robot Learning & AI Integration
Robotic Simulation & Virtual Testing
Swarm Intelligence & Bio-inspired Robotics

Track 3: Networking & Communication Technologies

5G / 6G Mobile Networks
Internet of Things (IoT) Networking
Edge Computing & Fog Computing
Cloud Computing & Hybrid Systems
Network Security & Privacy
Blockchain for Networking
Software-Defined Networking (SDN)
Network Function Virtualization (NFV)
Wireless Sensor Networks
Smart Cities & Smart Grids
IoT Protocols & Standards

Network Monitoring & Management
Ad Hoc & Mesh Networks
Low-Power Wide-Area Networks (LPWAN)
Vehicular Ad Hoc Networks (VANETs)
Satellite & Space Communications
Network Traffic Analysis & QoS
Cybersecurity in Communication Networks
AI for Network Optimization
Optical Networks & High-Speed Internet
Quantum Networking

Track 4: Data Science, Analytics & Big Data

Big Data Management & Storage
Predictive Analytics
Data Mining & Knowledge Discovery
Data Visualization & Dashboards
Cloud-based Data Analytics
Edge Analytics
Real-time Data Processing
Streaming Data Analytics
IoT Data Analytics
Text & Social Media Analytics
Healthcare Data Analytics

Financial Data Analytics
Data Governance & Ethics
Statistical Modeling & Inference
Machine Learning for Data Analytics
Graph Analytics & Networks
Anomaly Detection & Fraud Detection
Recommendation Systems
Reinforcement Learning for Decision Support
Geospatial & Location-based Analytics
Data-driven Cyber-Physical Systems

Track 5: Emerging & Interdisciplinary Technologies

Human-Computer Interaction (HCI)
Augmented Reality (AR) / Virtual Reality (VR)
Mixed Reality & Metaverse Applications
AI Ethics & Responsible AI
Privacy-Preserving AI
Autonomous Systems Safety
Smart Systems & Cyber-Physical Integration
Edge Intelligence & IoT Integration
Quantum Computing & Algorithms
Neuromorphic Computing

Brain-Computer Interfaces (BCI)
AI in Renewable Energy & Sustainability
AI-driven Smart Manufacturing
AI for Environmental Monitoring
Robotics in Disaster Management
AI in Transportation & Logistics
Technology Entrepreneurship & Startups
Innovation Management in Tech
Emerging Trends in Automation
Multidisciplinary Applications of AI & Robotics

Track 6: Healthcare & Medical Informatics

Healthcare Data Analytics
Electronic Health Records (EHR) and Clinical Information Systems
Medical Image Analysis and Computer Vision in Healthcare
AI/ML Applications in Diagnosis and Treatment
Telemedicine and Remote Patient Monitoring
Healthcare IoT and Wearable Technologies
Predictive Analytics for Disease Outbreaks
Medical Decision Support Systems
Health and Mobile Health Applications
Healthcare Robotics and Assistive Technologies

Precision Medicine and Genomic Data Analysis
Health Information Security and Privacy
Hospital Management Systems and Digital Health Solutions
Biomedical Signal Processing
Public Health Informatics
Virtual Reality (VR) / Augmented Reality (AR) in Healthcare Training
Smart Healthcare Systems and Smart Hospitals
Drug Discovery and Computational Biology
Mental Health Technologies and Digital Therapeutics

Publication & Indexing 2026

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Important Downloads

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