Building on the legacy of digital computing architectures, our research approaches topics in unconventional computing in an attempt to further the borders of known principles and mechanisms of information processing.
We develop algorithms that are more efficient and map them to novel architectures in order to accommodate more complex computational phenomena and to achieve new levels of reliability and fault-tolerance. We search to uncover and exploit new computing architectures by observing biological processes and importing them into digital silicon. We strive to understand the intricate science of the new paradigm of quantum computing as a cross-breed of computer science and engineering, physics, and mathematics in order to devise new algorithms and deliver fast and accurate performance assessments.
Finally, we approach real-life issues, aiming at improving and expanding their current solutions. Digital devices and algorithms can be of assistance in sleep apnea disorders and cognitive disabilities, to name a few. And they can help to better understand the complex interactions that make up the common urban traffic for the purpose of maximizing its flow and providing improved management.