Program

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)