Track 1: AI/ML for Cloud and IoT​

• AI/ML applications in cloud and IoT environments

• Cloud-based infrastructure for AI/ML

• Security and privacy in AI/ML for cloud and IoT

• Novel AI/ML algorithms for cloud computing

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Track Chairs

• Caiwen Ding (University of Minnesota) 

• Shaoyi Huang (Stevens Institute of Technology)

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Members

• Monojit Banerjee (Salesforce)

• Geng Yuan (University of Georgia)

• Zhenglun Kong (Harvard University)

• Miao Yin (University of Texas at Arlington)

• Haowen Fang (Synopsys)

• Jianshu Liu (Boise State University)

• Chengming Zhang (University of Houston)

• Zhaorui Zhang (The Hong Kong Polytechnic University)

• Antian Wang (Purdue University Fort Wayne)

• Fei Dou (University of Georgia)

• Jin Lu (University of Georgia)

• Wei Niu (University of Georgia)

• Weijian Zheng (Argonne National Laboratory)

• Zhepeng Wang (George Mason University)

• Sihong He (University of Texas at Arlington)

• Jun Bai (University of Cincinnati)

• Sian Jin (Temple University)

• Xiaolong Ma (Clemson University)