IEEE Big Data 2024 Tutorials


Tutorial Title and Presenters
Tutorial 1: Title: Supervised Algorithmic Fairness in Distribution Shifts
Presenters: Chen Zhao and Xintao Wu
Author Email(s): chen_zhao@baylor.edu, xintaowu@uark.edu
Contact Person: Chen Zhao chen_zhao@baylor.edu
Tutorial 2: Title: Information and Knowledge Discovery on Cryptocurrency: A Security Perspective
Presenters: Ling CHENG and Feida Zhu
Author Email(s): fdzhu@smu.edu.sg, lingcheng.2020@phdcs.smu.edu.sg
Contact Person: Feida Zhu fdzhu@smu.edu.sg
Tutorial 3: Title: Inferential Machine Learning: Towards Human-collaborative Foundation Models
Presenters: Ghassan AlRegib and Mohit Prabhushankar
Author Email(s): mohit.p@gatech.edu, alregib@gatech.edu
Contact Person: Mohit Prabhushankar mohit.p@gatech.edu
Tutorial 4: Title: Machine Learning Evaluation: Implementing Responsible and Reliable AI
Presenters: Zois Boukouvalas and Nathalie Japkowicz
Author Email(s): boukouva@american.edu, japkowicz@american.edu
Contact Person: Zois Boukouvalas boukouva@american.edu
Tutorial 5: Title: Knowledge-driven Processes for Big Data Management and Applications
Presenters: Hong Yung Yip, Ruwan Wickramarachchi, Repathy Venkataramanan, and Amit Sheth
Author Email(s): HYIP@email.sc.edu, ruwan@email.sc.edu, revathy@email.sc.edu, AMIT@sc.edu
Contact Person: Hong Yung Yip HYIP@email.sc.edu
Tutorial 6: Title: Neuro-Symbolic AI for Deep Analysis of Social Media Big Data
Presenters: Amit Sheth, Vedant Khandelwal, Manas Gaur, Ugur Kursuncu, and Valerie Shalin
Author Email(s): amit@sc.edu, vedant@email.sc.edu, manas@umbc.edu, ugur@gsu.edu, valerie.shalin@wright.edu
Contact Person: Amit Sheth amit@sc.edu