Hybrid Conference (In Person / Virtual)

International Conference on Machine Learning Applications in Sports Analytics (ICMLASA - 27)
11th - 12th February 2027 , Zagazig, Egypt
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  • Abstract Submissions Open:
    "We are now accepting abstract submissions for the IIRD Global Conference in Zagazig. Submit your abstract by today to be part of this exciting international event." Call for Abstracts – Submit Now!
  • Paper Submission Guidelines:
    "Please ensure your paper follows the submission guidelines for smooth processing. Visit our paper submission page for more details."
  • Peer Review Process:
    "The peer review process will begin soon. Authors will receive valuable feedback that will help enhance their presentations for the Zagazig conference."
  • Networking with Global Experts:
    "Join global experts at our conference in Zagazig and engage in meaningful conversations. Build relationships that last." Register now to join!
  • Best Paper Presentation Award:
    Dr. Shatha Hawarna from Hamdan Bin Mohammed Smart University received the Best Paper Presentation Award at (ICBAI-25) in Bangkok, Thailand.
  • SDG-Inspired Conference Focus:
    "The conference will explore themes related to sustainability and inclusive development, with an emphasis on research that contributes to global well-being."

Call For Papers

The ICMLASA provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition.

The conference covers diverse topics such as Sports Technology, encouraging participation from emerging researchers and fostering academic growth.

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

Assessment

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.

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