Youtubed activities
Apr 2019
10
Apr
Hackathon Report
On March 27th 2019, students from LINCS hosted a Hackathon session on public data. The event gathered 20 participants from various institutions. In this talk, [...]
03
Apr
The effect of ramp constraints on coalitional storage games
Energy storage systems (ESS) are envisaged as a solution to a vast number of problems in Smart Grids, yet their prices are hindering a massive [...]
Mar 2019
21
Mar
Thesis Defense : Smart grid-aware radio engineering in 5G mobile networks
The energy demand in mobile networks is increasing due to the emergence of new technologies and new services with higher requirements (data rates, delays, etc). [...]
13
Mar
Multiparametric Boltzmann sampling and applications
I will describe the problem of multiparametric generation (which is #P-complete) and a relaxation of this problem (multiparametric Boltzmann sampling) for which we construct a [...]
06
Mar
A simple discrete-time model for complex NFV accelerators
Network Functions Virtualization (NFV) is among the latest network revolutions, bringing flexibility and avoiding network ossification. At the same time, all-software NFV implementations on commodity [...]
Feb 2019
27
Feb
Processing of Aggregations over Big Data Streams
Online analytics and real-time data processing in most advanced IoT, scientific, business, and defense applications, rely heavily on the efficient execution of large numbers of [...]
21
Feb
Ending the Era of Information Overload and Cognitive Fatigue
In the post-digital era we face the risk of cognitive insufficiency in the attempt of dealing with the increasing exposure to large volume of data [...]
20
Feb
Optimally Gathering Two Robots
We present a self-stabilizing algorithm that ensures in finite time the gathering of two robots in the non-rigid ASYNC model. To circumvent established impossibility results, [...]
13
Feb
Human Behavior is Low Dimensional
Every person is unique and complex. But can we predict anything about how large groups of people will behave? In the 1950s the writer [...]
06
Feb
Fully Dynamic k-center Clustering
Static and dynamic clustering algorithms are a fundamental tool in any machine learning library. Most of the efforts in developing dynamic machine learning and data mining algorithms [...]
