People with chronic lung diseases must breathe with more force and with more breaths because their diseased lungs do not exchange oxygen as well. This occurs in interstitial lung disease, when the lungs are stiffer and in chronic obstructive pulmonary disease, when the airways are obstructed due to phlegm and swelling. The breathing muscles in […]

The core of the research is multi-technology devices that stimulate and record neurons, integrated photonic devices for micro-displays, and photonics-enabled computing hardware. The novel foundational technologies underpinning the research are foundry-manufactured integrated photonics platforms on silicon for the visible spectrum and advanced 3D printing of biological and other organic materials. Macro-scale systems (mechanical and electronic) […]

Brain-inspired computers are a developing technology that use biological foundations to inform computational processes. The study of complex brain circuitry is crucial for creating such technologies. However, progress is limited as neural circuits are difficult to study in vivo. Under the directorship of Joyce Poon, the Nanophotonics, Integration and Neural Technology department of the Max […]

My lab’s research projects involve developing integrated silicon photonic devices for both brain-computer interfaces and artificial intelligence computing hardware. My focus will be developing photonic computing hardware that is neuromorphic, meaning it emulates the way our brains work. My main objectives will involve developing and characterizing integrated photonic chip designs that involve functional and trainable […]

Ce projet de recherche a pour but d’améliorer la technologie des réseaux de neurones, pilier important de l’intelligence artificielle moderne, en s’inspirant du cerveau. Le but principal est d’être capable de réduire la consommation énergétique suffisamment pour pouvoir en profiter sur des appareils à énergie limités, tel que des téléphones cellulaires. Le cerveau, malgré ses […]

Cyber security is fundamental to guarantee the reliable operation of the electric power systems. As the energy industry migrates to the digital space with information and communication technology (ICT), managing the electricity delivery is becoming complex and increasingly dependent on industrial control systems (ICS). The heavy reliance on ICT and the rapid penetration of ICS […]

Solar power currently makes up a tiny fraction of all global energy needs. The current silicon based solar cell technologies which on average operate at around 15-17% efficiency have low likelihood of being a total fossil fuel replacement. They have very slow energy payback, their mass production cost savings are hitting a wall, and they […]

Boron-containing organic materials are increasingly important in high-tech applications such as sensors, optoelectronics and pharmaceuticals. We recently developed a highly reactive nickel precursor that was able to activate a variety of substrates and showed a strong predilection for unsaturated systems. The proposed research aims to test the ability of this system to activate a variety […]

Dans les recherches récentes en génie logiciel et plus particulièrement en compréhension du logiciel, une grande partie des approches utilisent des techniques issues de la communauté du traitement automatique des langues naturelles. L’utilisation de ces techniques de traitement des langues au logiciel s’est avérée être efficace pour capturer des informations textuelles et sémantiques dans des […]

Vibration analysis is probably the most widely used technique to perform health monitoring of mechanical machinery. Specifically, we are interested in monitoring ‘Vibrating screens’, machines that are for example used by the mining industry to sort aggregate by size. Over the last 10 years the research group of Dr. v. Mohrenschildt has developed hardware, software […]

In this research, first we will using tensor network techniques speedup the processing in neural network since computational cost is a major bottleneck in neural network based deep learning. Note that the weight matrix in each layer of neural network is with huge size, because of millions of parameters. This may cause large time complexity […]

The temporary maintenance of information is known as working memory, and it enables behaviour that we take for granted, such as remembering a phone number or avoiding an obstacle after turning off the lights. Despite its importance for everyday behaviour, the neural mechanisms underlying working memory are/remain unclear. While some single-neuron recordings in monkeys correlate […]