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Hybrid Event

9th - 10th October 2026 | Kowloon City, Hong Kong

International Conference on Machine Learning Applications in Sports Analytics (ICMLASA - 26)

4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICMLASA) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Sports Technology, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Machine learning techniques in sports analytics
02
Predictive models for game outcomes
03
Data mining for sports performance insights
04
AI applications in sports strategy
05
Real-time analytics for coaching decisions
06
Player performance evaluation using ML
07
Challenges in sports data analysis
08
Machine learning for injury prediction
09
Statistical methods in sports analytics
10
Impact of ML on fan engagement
11
Visualization of machine learning results
12
Case studies of ML in sports
13
Ethical considerations in sports analytics
14
Future trends in sports machine learning
15
Collaborative filtering for player recommendations
16
Natural language processing in sports journalism
17
Data-driven decision making in sports
18
Integration of ML with IoT data
19
Performance optimization using machine learning
20
AI-driven scouting and recruitment strategies

Peer Review Process

All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.

Registration Details

Secure your participation early. Limited slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions prioritized for publication in recognized journals and proceedings.

2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.