Workshop venue: MIT-huset, Umeå University Main Campus ( google map and Campus map)
Lecture room: MA121, MIT-huset
Afternoon, 20 November (Tuesday), 2018
13:00 – 13:15 Opening – Lili Jiang
Session chair: Erik Elmroth
13:15 – 14:00 Invited talk – Devdatt Dubhashi: Efficient Deep Learning for Ubiquitous AI (Chalmers.se)
14:00 – 14:45 Invited talk – Jim Dowling: The next Frontier: Distributed Deep Learning (KTH.se)
14:50 – 16:10 Poster Session + Fika (MIT-place in MIT-huset, Umeå University Main Campus)
Session chair: Kary Främling
16:10 – 16:30 Anneli Ågren: Using High Resolution Digital Elevation Models and Machine Learning to generate Better Maps of Stream Networks and Wet Soils: a case-study of the Swedish forest landscape (SLU.se)
16:30 – 16:50 Thomas Hellström : The Reasonable Ineffectiveness of Data (UMU.se)
16:50 – 17:10 Gunnar Mathiason: Production data analysis for process refinement in hot rolling (HIS.se)
17:10 – 17:30 Jörgen Carlsson: Umeå Energi AB- Inside the Smart City development of Umeå (UmeåEnergi.se)
18:00 – 21:00 Mingle and dinner (at participants own expenses, Umeå downtown): more info -> (menu->ATTENDING)
Morning, 21 November (Wednesday)
Session chair: Kai-Florian Richter
09:00 – 09:45 Invited talk – Bob Sturm: Be a responsible data scientist: Identify and tame your “horses” (KTH.se)
09:45 – 10:05 Philip Buckland: Data Analysis in Palaeoecology and Environmental Archaeology (UMU.se)
10:05 – 10:25: Niclas Ståhl: The need for Bayesian models in the search for novel medical drugs (HIS.se)
10:25 – 10:55 Fika (MIT-place in MIT-huset)
Session chair: Jun Yu
10:55 – 11:15 Amira Soliman: Graph-based Analytics for Decentralized Online Social Networks (RISE SICS.se)
11:15 – 11:35 Sabri Pllana: Workload Distribution on Heterogeneous Systems based on Meta-heuristics and Machine Learning: A Performance and Energy Aware Approach. (LNU.se)
11:40 – 12:50 Lunch (Restaurang Hjortron at Universum) – indoor access
Afternoon
Session chair: Shafiq Urréhman
13:00 – 13:45 Invited talk – Markus Koskela: Data Science at a Centre for Scientific Computing (CSC.fi)
13:45 – 14:20 Invited talk – Alla Tarighati: From school to industry, Data Science at SEB Analytics (SEB.se)
14:20 – 14:40 Ruben Buendia: Probabilistic Prediction for Accurate Hit Estimation in Iterative Screening (HB.se)
14:40 – 15:00 Klara Leffler: Intelligent data sampling promotes accelerated medical imaging: sharper positron emission tomography (UMU.se)
15:00 – 15:10 Closing – – Lili Jiang
*For more info about invited talk, contributed talks, and poster, please go to (menu – > PROGRAM)