The paper “Enabling Optimal Power Generation of Flow Cell Arrays in 3D MPSoCs with On-Chip Switched Capacitor Converters” is a collaborative research by Halima Najibi, Alexandre Levisse, Marina Zapater, and David Atienza, who are associated with EPFL’s Embedded Systems Laboratory (ESL). Considering the reputation of the symposium, built over a period of three decades, it is no mean achievement to have a paper accepted and then selected as the Best Paper. Many congratulations to the EPFL authors for their singular academic triumph.
As a CYD Doctoral Fellow, Dina will conduct research on vulnerabilities and backdoors in heterogeneous hardware platforms, for protecting the confidentiality, integrity and availability of cyber and cyber-physical systems.
This is an important breakthrough because high-frequency bands are prone to logjams because of high demand. On the other hand, microwave photonics offers high bandwidth, low transmission loss, and immunity to electromagnetic interference.
The first coronavirus digital contact-tracing app using OS updates from Google and Apple is now in a large-scale pilot test. Dubbed as SwissCovid, the app is based on the decentralized protocol, where operations that have data privacy implications are not stored or conducted through a centralized server, but on the phone of individual users. Employees at EPFL, ETH Zurich, the Swiss Army, and select hospitals and cantonal administrations can now download the app for tracing contacts at risk of transmission of COVID-19.
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.