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

13th December 2026 || Chennai - India || Hybrid Mode

Proudly Organized by INRI

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Conference Session Tracks

The International Conference on Machine Learning Applications in Sports Analytics (ICMLASA), scheduled to be held on 13th December 2026 in Chennai, India, features a diverse range of session tracks covering key research areas, emerging trends and interdisciplinary innovations within the field of Sports Technology.

Each track offers researchers, academicians, industry professionals and practitioners a platform to present their work, exchange ideas and explore the advancements shaping the future of the domain. Every track is curated to encourage knowledge sharing, collaboration and meaningful discussion.

All Session Tracks
  • Track 01 – Machine Learning Techniques in Sports Analytics
    This track focuses on the application of machine learning algorithms to analyze sports data for performance enhancement. Researchers are invited to present innovative methodologies that leverage data science to improve athlete outcomes. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 02 – Predictive Modeling in Sports Performance
    This session explores the development and implementation of predictive models aimed at forecasting athlete performance and injury risks. Contributions should highlight the integration of data analytics in optimizing training regimens. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 03 – Athlete Monitoring and Wearable Technologies
    This track examines the use of wearable technologies for real-time athlete monitoring and performance assessment. Papers should discuss advancements in sensor technologies and their implications for sports science. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 04 – Biomechanical Analysis in Sports Science
    This session invites research on biomechanical analysis techniques that enhance understanding of movement patterns in sports. Submissions should focus on the application of machine learning to biomechanical data for performance improvement. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 05 – Innovations in Coaching through Data Science
    This track highlights the role of data science in revolutionizing coaching practices and strategies. Researchers are encouraged to present case studies demonstrating the impact of analytics on coaching effectiveness. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 06 – Advancements in Sports Medicine and Injury Prevention
    This session focuses on the intersection of sports medicine and machine learning for injury prevention strategies. Contributions should explore how data-driven approaches can enhance athlete health and recovery. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 07 – Performance Optimization through Functional Training
    This track investigates the role of functional training methodologies in optimizing athletic performance. Papers should present empirical evidence supporting the effectiveness of training interventions informed by data analytics. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 08 – Endurance and Strength Training Analytics
    This session delves into data-driven approaches for analyzing endurance and strength training outcomes. Submissions should explore how machine learning can inform training adaptations for various sports disciplines. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 09 – Digital Platforms for Sports Data Management
    This track examines the development and utilization of digital platforms for managing and analyzing sports data. Researchers are invited to discuss innovations that facilitate data accessibility and usability in sports analytics. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 10 – Athlete Development and Performance Metrics
    This session focuses on the application of performance metrics in athlete development programs. Contributions should highlight how data analytics can inform talent identification and progression pathways. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 11 – Emerging Trends in Sports Technology
    This track explores the latest trends and innovations in sports technology that enhance athlete performance and engagement. Researchers are encouraged to present cutting-edge technologies and their implications for the future of sports science. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
Alignment with the Sustainable Development Goals
Alongside its academic focus, the conference promotes responsible research, ethical practice and knowledge-driven development. Its session tracks collectively contribute to the following United Nations Sustainable Development Goals.
  • SDG 3 SDG 3
    Good Health and Well-being
  • SDG 4 SDG 4
    Quality Education
  • SDG 9 SDG 9
    Industry, Innovation and Infrastructure
  • SDG 11 SDG 11
    Sustainable Cities and Communities

Need Assistance?

If you need any clarification on the session tracks or support with your submission, please feel free to reach out to us:

Email: [email protected]

Phone: +91 9677007228