Houston hosted this year’s annual conference of the ACM Special Interest Group on Management of Data (SIGMOND). During the five-day event (June 10-15), several awards were presented to a select group of participants. One of the most coveted of these awards is the Best Demonstration Award, won this year by Professor Anastasia Ailamaki and her student Eleni Tzirita Zacharatou. Both are attached to EPFL’s Data-Intensive Applications and Systems Laboratory. Prof. Ailamaki is Lab Director and Ms Zacharatou is pursuing her doctoral program in computer and communication sciences.
The ACM Multimedia Systems Conference (MMSys 2018) was held between June 12 and 15 in Amsterdam. More than 30 papers were presented at the event under the “research track,” but there was only one winner for the Best Paper Award: a research conducted by Xavier Corbillon, Francesca De Simone, Gwendal Simon, and Pascal Frossard on “Dynamic Adaptive Streaming for Multi-Viewpoint Omnidirectional Videos.”
Each year, the Design Automation Conference (DAC) announces five winners of the Under-40 Innovators Award. This year, one of the winners of the coveted honor is David Atienza, Associate Professor of Electrical and Computer Engineering at EPFL’s Embedded Systems Laboratory.
The ISSS awards only two researches out of the scores of nominations received for consideration from across all Swiss institutes. That emphasizes the novelty of the study by Hamza Harkous.
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.
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.
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.
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.