The 2^nd International Sports Analytics Conference and Exhibition (ISACE)

Welcome to the International Sports Analytics Conference and Exhibition (ISACE) series, 2025

Sports analytics is the application of AI, data science, psychology, and smart devices to improve sports performance, strategy, and decision-making. It involves collecting, processing, and interpreting data from various sources such as video footage, performance metrics, and scouting reports, and using this information to gain insights into player and team performance, prevent injury, and help coaches and team managers to make more informed decisions and optimize their resources to achieve better results.

There are various sports analytics seminars, satellite workshops (associated with major AI and Data Science conferences), and regional conferences (e.g., MIT Sloan Sports Analytics). The vision of this new International Sports Analytics Conference and Exhibition (ISACE) series is to bring leading academics, researchers, coaches, psychologists, managers and technologists together to advance state-of-the-art of sports analytics.

The second ISACE (September 2025) will be in Shanghai, China (one week before The 2025 Rolex Shanghai Masters tennis tournament). The conference proceedings will be published in Springer LNCS series. Top papers will be awarded a Best Paper Certificate and a book voucher from Springer-Nature. Selected papers will be invited to submit an extended version to a special issue of the Springer-Nature Computer Science journal.

---

The location of ISACE series is to move around the world's major cities with a timing that is likely to be 1-2 weeks before or after a major sporting event which may form one of the themes of the conference.

Previous and future events:

The pre-conference workshop was hosted in Oct 2023, Singapore.

The first ISACE (July 2024) was held in Paris one week before The 2024 Summer Olympics.

The third ISACE (May 2026) will be in Vancouver (before the 2026 Soccer World Cup). Details will be updated later.

Paper Submissions

---

Conference Paper Submission

Manuscripts may be submitted in Springer LNCS format to one of the following two categories:
(i) Regular Papers and (ii) Practical Experience Papers.

Additional material may be placed in an appendix, to be read at the discretion of the reviewers and to be omitted in the final version. Formatting style files and further guidelines for formatting can be found at the Springer website (more details here).

The proceedings will be published in the Springer Lecture Notes in Computer Science series.

Submission should be done electronically in PDF format through the EasyChair submission page.

Submission portal to be open soon.

---

Journal Paper Submission

ISACE has established a strategic partnership with the Springer-Nature (SN) Computer Science journal. Selected papers from the conference proceedings will be invited to submit an extended version to a special issue of SN Computer Science. The extension is expected to contain more than 30% new content, such as new knowledge, theoretical and practical development and evaluations of the approach.

Detailed submission instructions will be released later.

Organising Committee

General Chair and Founder

Prof Jin Song Dong, Deputy Head, National University of Singapore, Singapore

---

Program Co-Chairs

Dr Michael Kan Jiang, National University of Singapore, Singapore

---

Advisory Committee

Elia Hill, Director of Sports Technology, Queensland Government, Australia

---

Organising Committee

A/Prof Bimlesh Wadhwa, Assistant Dean, National University of Singapore, Singapore
Prof Jun Sun, Singapore Management University, Singapore
Prof Yang Liu, Chair Professor, Nanyang Technological University, Singapore
Prof Mounir Mokhtari, Institut Mines-Télécom, France
Prof Yamine Ait Ameur, National Polytechnic Institute of Toulouse, France
A/Prof Zhiyong Huang, National University of Singapore, Singapore
A/Prof Teck Khim Ng, National University of Singapore, Singapore
Prof Chunyang Chen, Technical University of Munich, Germany
Prof Bessam Abdulrazak, University of Sherbrooke, Canada

---

Publicity Chair

A/Prof Kailong Wang, Huazhong University of Science and Technology (HUST), China

---

Web Chair

Dr Mark Huasong Meng, Technical University of Munich, Germany

---

Program Committee

Prof Oliver Schulte, Director Structured Machine Learning Lab, Simon Fraser University, Canada
Dr Luke Wildman, Principal Systems Assurance Engineer, RGB Assurance, Australia
Prof Yamine Ait AMEUR, National Polytechnic Institute of Toulouse, France
A/Prof Bimlesh Wadhwa, Assistant Dean, National University of Singapore, Singapore
A/Prof Zhiyong Huang, National University of Singapore, Singapore
A/Prof Yun Lin, Shanghai Jiao Tong University, China
Dr Michael Kan Jiang, National University of Singapore, Singapore
Wei-Yao Wang, National Yang Ming Chiao Tung University, Taiwan
Zhaoyu Liu, National University of Singapore, Singapore
Dr Hadrien Bride, Dependable Intelligence, Australia
Dr David Saxby, Griffith University, Australia
Prof Chunyang Chen, Monash University, Australia
Prof Lijun Guo, Ningbo University, China
Dr Sebastian Binnewies, Griffith University, Australia
Prof John Komar, National Institute of Education, Singapore
Dr Elizabeth Bradshaw, Deakin University, Australia
Dr Seungbok Lee, Yonsei University, Korea
Dr Xiaofei Xie, Singapore Management University, Singapore
Prof Mehul S Raval, Associate Dean of Experiential Learning, Ahmedabad University, India
A/Prof Srikrishnan Divakaran, Krea University, India
Prof Tolga Kaya, Sacred Heart University, CT, USA
Daniel Bolarinwa, Accenture, UK
Rajdeep Singh Hundal, National University of Singapore, Singapore
Dr Tao Lin, VC of Engineering, Ethiqly, USA
Dr Dileepa Fernando, Singapore University of Technology and Design, Singapore
Dr Isuru Supasan, SLTC Research University, Sri Lanka
Karan Gupta, SunPower, USA
Prof Raveendran Paramesran, Monash University, Malaysia
Prof Bessam Abdulrazak, University of Sherbrooke, Canada
Steven Lin, AI Lead, Azra Games, USA
Robert Moskovitch, Ben Gurion University, Israel
David Clausi, University of Waterloo, Canada
Ruchir Pandya, ex-Disruptive, ex-Meta, ex-NBA, USA
To Be Extended