| 8:00-8:05 | Opening Remarks |
| 8:05-8:40 | Keynote: Hanghang Tong Inside the Atoms: Mining a Network of Networks and Beyond |
| 8:40-8:55 | Mudhar Bin Rabieah and Christos-Savvas Bouganis. FPGASVM: A Framework for Accelerating Kernelized Support Vector Machine Training using FPGAs |
| 8:55-9:10 | Hongxia Yang, Quan Lu, Angus Xianen Qiu and Chun Han. Large Scale CVR Prediction through Dynamic Transfer Learning of Global and Local Features |
| 9:10-9:25 | Qiang Ma, Musen Wen, Zhen Xia and Datong Chen. A Sublinear, Massive-scale Look-alike Audience Extension System |
| 9:25-10:00 | Keynote: Joseph Bradley Foundations for Scaling ML in Apache Spark |
| 10:00-10:30 | Morning Coffee Break |
| 10:30-11:05 | Keynote: Charles Elkan From Practice to Theory in Learning from Massive Data |
| 11:05-11:20 | Md Abdul Kader, Arnold P. Boedihardjo, Sheikh Motahar Naim and M. Shahriar Hossain. Contextual embedding for distributed representations of entities in a text corpus |
| 11:20-11:35 | Manan Shah. Disease Propagation in Social Networks: A Novel Study of Infection Genesis and Spread on Twitter |
| 11:35-11:50 | Nesreen Ahmed, Ted Willke and Ryan Rossi. Exact and Estimation of Local Edge-centric Graphlet Counts |
| 11:50-12:05 | Harish S. Bhat, R. W. M. A. Madushani and Shagun Rawat. Scalable SDE Filtering and Inference with Apache Spark |
| 12:05-12:10 | Concluding Remarks |
