Women Forum

Friday, November 13, 2026 · 10:10–12:10 · VIP Room 1

The IEEE ICDM 2026 Women Forum brings together researchers and students to celebrate women’s contributions to data science and exchange ideas on research and career development. The programme features invited talks, short research presentations from the Female Scholar and Student Awards finalists, and an open discussion. Researchers of all genders and career stages are welcome.

Program

TimeProgrammeSpeakers
10:10–10:15Welcome and opening remarksWomen Forum Co-Chairs
10:15–10:45Promoting Diversity in Data Mining and Machine Learning ResearchClaudia Plant
Do What You Love. Let the Rest FollowMy T. Thai
From Research Ideas to Impact: Building a Research Career and CollaborationsWenjie Zhang
10:45–12:10Finalist research presentationsYoung Female Scholar Award: Liyan Song, Qingyun Sun, Shuo Yu, Yalan Qin, Yawen Li; Female Student Award: Chenya Huang, SheoYon Jhin, Xiaojing Du, Xiaoyang Li
Open discussionForum participants
Closing remarks and group photoWomen Forum Co-Chairs and participants

Finalists are listed alphabetically by given name within each award category. Presentation participation and order will be confirmed separately. Award recipients will be announced at the conference banquet on November 14, 2026.

Forum Chairs

Portrait of Xiaoling Wang

Xiaoling Wang

Professor

East China Normal University, China

Research interests: Distributed graph data processing; knowledge graphs; sequential recommendation and sequence data analysis; explainability techniques

Portrait of Richi Nayak

Richi Nayak

Professor

Queensland University of Technology, Australia

Research interests: Data mining; machine learning; text mining; web intelligence; social network analysis

Portrait of Li Qian

Li Qian

Dr.

Chinese Academy of Sciences, China

Research interests: Data mining and machine learning, including adaptive unsupervised learning, graph and temporal data mining

Invited Speakers

Portrait of Claudia Plant

Claudia Plant

Professor

University of Vienna, Austria

Research interests: Clustering and representation learning; anomaly detection; information-theoretic methods; deep learning; graph, time series, and heterogeneous data mining

Portrait of My T. Thai

My T. Thai

Research Foundation Professor

University of Florida, USA

Research interests: Trustworthy AI; graph data mining; optimization; security and privacy

Portrait of Wenjie Zhang

Wenjie Zhang

Professor

University of New South Wales, Australia

Research interests: Large-scale data management and analytics; graph data processing; complex data processing; data-centric AI