Videos

Cooperative Intelligent Transport Systems allow connected vehicles to communicate with each other, with the road-side infrastructure, and with other smart devices to improve road safety [...]

We will deep dive into the OOP paradigm and see how it’s implemented in Python. This session will be beginner-friendly and aims to give explanations and practical [...]

Quantum information processing is at the cusp of having significant impact on technology and society in the form of providing unbreakable security, ultra-high-precision distributed sensing [...]

The Hidden Markov Model is a generative model in which the distribution of the observations depends on the state of a Markov chain. These models [...]

Stochastic dynamic matching has numerous applications, ranging from supply-chain management to kidney exchange programs. In a matching problem, different classes arrive according to independent Poisson processes. Unmatched items [...]

There are two major ways to deal with failures in distributed computing: fault-tolerance and accountability. Fault-tolerance intends to anticipate failures by investing into replication and [...]

When you develop a Python project, it is highly recommended that you design it as a Python package, which gives you access to a variety [...]

Approximation by Poisson distributions or processes is of great interest in many applications including networks, queueing theory and even neuroscience, as the Poisson distribution arises [...]

Thanks to its dynamic nature, it is extremely easy to prototype code with Python. However, this also means that it is difficult to catch errors [...]

In the past decades, multiple antenna systems were widely employed in modern wireless network to improve the communication performance. For example, iPhone XS is equipped [...]