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 4 March 2026 in Ludhiana, Punjab, India. The conference aims to offer a high-quality international platform for researchers, academicians, industry experts, and scholars to present and discuss their research ideas and professional experiences through direct interaction with peers from across the globe.

ICCSMLAI seeks to encourage knowledge exchange, promote research and industry collaboration, and support the development of professional and international partnerships for future academic and career growth. The conference is expected to contribute meaningfully to the advancement of knowledge in the rapidly evolving fields of computer science, machine learning, and artificial intelligence.

The event will be organized by IRF Conference in 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

SoftwareEngineering

CloudComputing

Cybersecurity

DataStructures

OperatingSystems

NetworkSecurity

DatabaseSystems

ComputerVision

QuantumComputing

InternetofThings

SupervisedLearning

UnsupervisedLearning

ReinforcementLearning

DeepLearning

TransferLearning

ModelInterpretability

FederatedLearning

AutoML

FeatureEngineering

NaturalLanguageProcessing

ExpertSystems

RoboticsAI

AIEthics

ComputerPerception

AIinEducation

IntelligentAgents

CognitiveComputing

AIforSocialGood

ExplainableAI