International Conference on Computer Science, Machine Learning and Artificial Intelligence (ICCSMLAI)

Event Overview

The International Conference on Computer Science, Machine Learning and Artificial Intelligence (ICCSMLAI) will be held on 27 January 2026 in Ludhiana, Punjab, India. The conference aims to provide a world-class platform for researchers, academicians, industry experts, and professionals from around the globe to meet in person and share their ideas, experiences, and research contributions.

ICCSMLAI is designed to promote knowledge exchange and collaboration by enabling participants to establish research and business relationships, explore international partnerships, and foster future academic and professional cooperation. The conference is expected to make meaningful contributions to the expanding knowledge base in the fields of computer science, machine learning, and artificial intelligence.

The event is being organized by Irfconference, Ludhiana, Punjab, India.

Key Information

Event Status

Active

Organizer

Irfconference

Organizing Secretary

Conference coordinator

Conference Inquiry Email-ID

info.irfconference@gmail.com

Program Schedule

Physical Schedule

08:30 AM – 09:00 AM  On-Site Check-In & Welcome Coffee

09:10 AM – 09:30 AM  Inaugural Address & Conference Overview

12:00 PM – 01:00 PM  Networking Lunch

03:00 PM – 03:15 PM  Closing Ceremony & Awards

Virtual Schedule

09:00 AM – 09:10 AM  Virtual Check-In & Orientation

12:00 PM – 01:00 PM  Break

03:00 PM – 03:15 PM  Closing Ceremony & Digital Certificate Instructions

Organizer Information

International Research Forum(IRF)

Email: info.irfconference@gmail.com

Website: irfconference.org

Major topics covered for this event

Software Engineering

Cloud Computing

Cybersecurity

Data Structures

Operating Systems

Network Security

Database Systems

Computer Vision

Quantum Computing

Internet of Things

Supervised Learning

Unsupervised Learning

Reinforcement Learning

Deep Learning

Transfer Learning

Model Interpretability

Federated Learning

AutoML

Feature Engineering

Natural Language Processing

Expert Systems

Robotics AI

AI Ethics

Computer Perception

AI in Education

Intelligent Agents

Cognitive Computing

AI for Social Good

Explainable AI