Mirjana Pavlovic, a senior Ph.D. student, and Anastasia Ailamaki, Professor and Director of DIAS Lab at EPFL, won the distinction for their paper - Dictionary Compression in Point Cloud Data Management.

ACM SIGSPATIAL Best Paper Award for DIAS Researchers

In about two months’ time, participants will assemble in Seattle for the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2018). Apart from the academic discourses that will take place at the four-day conference (November 6-9), the event is also of particular interest for EPFL because two of its outstanding researchers will be awarded the Best Paper Award for their contribution to the previous edition of the annual event.

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DIAS Scientist Wins Chorafas Award

The Dimitris N. Chorafas Foundation recognizes outstanding scientific work in selected fields in engineering sciences, medicine, and natural sciences. The winners are chosen each year from among the select list of graduating doctorate students submitted by the Foundation’s partner universities in Europe, North America, and Asia. One of this year’s awardees is Manos Karpathiotakis, who completed his PhD at EPFL’s Data-Intensive Applications and Systems (DIAS) Laboratory in 2017 and is currently a scientist at the laboratory.

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Anastasia Ailamaki Wins Nemitsas Prize

In a press release last month, the Takis & Louki Nemitsas Foundation announced the selection of Anastasia Ailamaki, Professor and Director at EPFL’s Data-Intensive Applications and Systems Laboratory, as the Laureate of the NEMITSAS Prize 2018 in Computer Science.

EPFL Authors Shine at DSN-2018

The 48th International Conference on Dependable Systems and Networks (DSN-2018) was held in Luxembourg City. The four-day event (June 25-28) saw thematic workshops and a series of more than 60 presentations by scholars in the realms of dependability and security research, fields that have been the raison d’être of DSN conferences over the years.

Research

Analytics & Applications

We are investigating new stochastic theories and analytics including statistical learning techniques, machine training and inference systems and their applications to IoT, social media and big data platforms.

Cloud Data Management

We are investigating technologies to maximize efficiency with in-memory data services, in-situ query processing on streamed data, and on-demand query engine customization using multi-objective compiler optimization.

Sustainable Data Centers

We are investigating a three-pronged approach to holistic data platforms and datacenter efficiency: vertical integration to minimize data-movement; specialization to optimize work per service; and approximation to tailor work for output quality.

Trustworthy Platforms & Systems

We are investigating technologies spanning from decentralized trust and cryptography to robustness and resiliency of natural processes to strengthen security, privacy and trust in data platforms and systems.

Sponsors

 
AXA-Tech
Eaton
EPFL
Google
Hewlett Packard
Huawei
IBM
Intel
Microsoft
Oracle
Swisscom