Participating in Mitacs Globalink will offer me the unique opportunity to engage in cross-cultural dialogue with scholars in the historic region of Sarnath, Varanasi, India, at the Central University of Tibetan Studies (CUTS), a unique institution founded by Pt. Jawahar Lal Nehru in consultation with Tenzin Gyatso, the 14th Dalai Lama. I would be working […]

My project investigates the colonial development of Japan’s national identification (ID) systems, and the transformation of those surveillance techniques in our digital age. National ID systems identify individuals with a centralized ID number, collect and use the different kinds of personal data for multiple purposes. Those ID techniques have spread rapidly in the “war on […]

Extensive research focused on the identification of cellular signaling pathways involved in cancers. A tumor suppressor SOX7 has been implicated in several human cancers: it has been shown to suppress the Wnt/?-catenin signaling that is highly activated in breast cancer and ovarian cancer. This study sets out to determine the role of SOX 7 and […]

The development of techniques that allow the culture and differentiation of stemcells has opened new research venues and the potential for novel therapies. It has been shown that transplantation of mesenchymal stem cells from bone marrow improved heart function after myocardial infarction. Also mesenchymal stem cells regulate cardiac electrophysiological functions of cardiomyocytes, and protect the […]

The healthcare system of China has been shaped by the co-existence of Traditional Chinese Medicine and evidence based medicine as well as the political reforms of the last century. The ultimate aim of this study is to provide the operational strategies, path selection and scientific evidence for reconstruction the medical insurance system to realize the […]

Although it is known that the human gut is colonized by a wide variety of microbial populations, many effects of the complex interactions between the human host and microbial symbionts are still not completely understood. The dysbiosis or microbial imbalance of the gastrointestinal tract microbiota is considered to be one of the most important contributing […]

Les réseaux de communications, notamment l’Internet, connaissent une importante croissance ses dernières années. Cette croissance s’accompagne d’une complexité grandissante ainsi que d’une consommation énergétique de plus en plus élevée. Les technologies actuellement déployées ne sont pas adaptées pour faciliter l’économie d’énergie sur des réseaux de grandes tailles. La technologie SDN nous offre un meilleur contrôle […]

The main goal of this research project is to implement an associative memory module in a gene network. The idea is to use the theoretical work already done at the Signals and Systems Laboratory (L2S) and to apply it in the area of genetics. The proposed approach is innovative, as it combines techniques from two […]

The project would explore the use of modern techniques from the field of Machine Learning to identify networks from observational data. This is an important area of research in fields such as neuroscience and genetics, where it can shed light on the nature of various disease. Other applications include discovering influencers and communities in social […]

La complexité de conception de robots souples est due à leur nature pluridisciplinaire (intégration de systèmes mécaniques, électronique et logiciel) ainsi qu’aux contraintes introduites par la non-rigidité des membres, ce qui met donc à rude épreuve la créativité des ingénieurs. Cette complexité est liée principalement aux multiples dépendances existantes entre les différentes composantes du robot […]

Scientists need more and more computing resources to do research. At the same time, a huge amount of available computing resources is currently completely ignored in all the devices and computers we use to surf the Web. All that computing power could be used to make progress on research about cancer, climate change, epidemiology, etc. […]

Meaningful parameters can be extracted from data that describes a person walking as time progresses. Gait asymmetry is one such parameter that has been shown to be correlated to the likelihood of a person falling. More generally, the variability in gait parameters can be used for human fall prediction. Currently, models used to describe gait […]