International Conference on Computer Science, Machine Learning and Artificial Intelligence (ICCSMLAI) - PhD Coaching Classes International Conference on Computer Science, Machine Learning and Artificial Intelligence (ICCSMLAI) - Ludhiana
International Conference on Computer Science, Machine Learning and Artificial Intelligence (ICCSMLAI)

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

Date 28 Mar, 2026
Venue Ludhiana, Punjab, India
Type Offline

Event Overview

The International Conference on Computer Science, Machine Learning, and Artificial Intelligence (ICCSMLAI) will be held on 28th March 2026 in Ludhiana, Punjab, India. The conference aims to provide a world-class platform for participants from around the globe to share their ideas, experiences, and research findings with peers. 

It also offers opportunities for delegates to build research and professional connections and explore international collaborations for future career development. ICCSMLAI seeks to contribute significantly to the advancement of knowledge in computer science, machine learning, and artificial intelligence. 

This event will be organized by IRF Conference in Ludhiana, Punjab.

Key Information

Event Status

Active

Organizer

IRF Conference

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

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