A series of presentations by the DEDS students on their work and progress
14.00 - 14.40: (ESR 2.2) Uchechukwu Njoku - Distribution and replication for feature selection
14.45 - 15.25: (ESR 1.2) Yeasmin Akter - Traceability in big data processing
15.30 - 16.10: (ESR 2.6) Dimitrios Tsesmelis - Physical optimisation for large scale, DS workloads
16.10 - 16.30: Coffee break
16.30 - 17.10: (ESR 3.3) Ikhtiyor Nematov - Unified information extraction for data preparation
17.15 - 17.55: (ESR 3.1) Rodrigo Sasse David - Spatio-temporal data integration & analysis
18.00 - 18.30: (ESR 2.4) Wu Song - Analytic operators for trajectories
18.35 - 19.05: (ESR 2.1) Marcos Nogueira Lobo De Carvalho - Transparent in-situ data processing
14.00 - 14.40: (ESR 1.3) Antheas Kapenekakis - Privacy-aware data integration
14.45 - 15.25: (ESR 4.2) Daniele Lunghi - Scalable model selection in stream settings
15.30 - 16.10: (ESR 1.1) Md Ataur Rahman - Semantic-aware heterogeneity management
16.10 - 16.30: Coffee break
16.30 - 17.10: (ESR 4.3) Christos Papadopoulos - A platform for prescriptive analytics
17.15 - 17.55: (ESR 2.5) Antonis Kontaxakis - End-to-end optimisation for data science in the wild
18.00 - 18.40: (ESR 2.3) Abduvoris Abduvakhobov - Model-based storage for time series
18.45 - 19.15: (ESR 4.1) Ibraheem Taha - Interactive exploration & analytics on complex big data