Smart contracts are computer programs on the Ethereum network. For a variety of reasons, such as security concerns, we would like to be able to analyze these smart contracts. However, the source code is only available for a limited subset of these contracts. But, the result of the compilation of these contracts, the bytecode, is available for all smart contracts. The main goal of this work is the decoding of smart contracts’ bytecodes. The path towards this goal is automated decompilation of the bytecode. But, current decompilation tools are not compatible with the ethereum bytecode.
5G and beyond mobile networks are expected to support a variety of emerging use-cases, such as holographic telepresence, immersive extended-reality, cloud gaming, and autonomous driving. Such a diverse set of services imposes strict requirements on the mobile network along several dimensions, such as throughput, latency, and reliability. Network slicing has been envisaged as a key enabler to satisfy these diverse requirements, by creating multiple isolated end-to-end virtual networks dedicated to different services, on top of a common physical infrastructure.
The field of responsible investing is rapidly expanding, with even greater attention on the importance of responsible investment with each passing year, as seen most recently in the aftermath of the impactful 2021 COP26 summit, where responsible investment was key focal point. Directing our financial resources in a sustainable direction has the potential to have a massive impact on helping us meet the Sustainable Development Goals set forth by the UN.
Modern data collection and storage results in complex and high-dimensional databases: they include a large number of variables, with a lot of interactions. At this same time, access and release of information that is, or is derived from, personal information involves complex challenges in terms of the potential for inappropriate disclosure (e.g., identification).
In this project we propose to develop a statistical methodology that can inform the evaluation of privacy assurances while preserving the statistical utility of complex, high-dimensional health data.
Distributed computing is a model in which components of a software system are shared among multiple computers to improve efficiency and performance. The growing interest in cloud computing scenarios that incorporate both distributed computing capabilities and heterogeneous hardware presents a significant opportunity for network operators. The aim of this Research is to develop a purpose-built discrete-event simulator for distributed quantum computing and identify further challenges and open problems arising from the design of a Distributed Quantum Computing ecosystem.
The proposed research project is aimed at developing an automated MR-processing pipeline for pre-clinical neuroimaging. This pipeline will address some of the existing issues associated with current methodologies, and has the potential to re-define the world of early drug development, particularly relating to the assessment of neurotoxicity.
Most approaches to intelligent, speech-enabled devices today in the research world involve training neural networks on prohibitively large amounts of examples, with little direct control over what is actually learned. On the other hand, this approach often cannot be applied in real-world settings where the required amount of examples does not yet exist, or the expectations of the system's performance are so high that its mistakes must somehow be indirectly corrected. Instead, in real applications, very inflexible, application-specific grammars are often used.
In my PhD dissertation, I proposed a renewed theory of the “narreme” – the minimum basic unit of narrative structure, a concept which originated in the 1960s but which has been largely neglected since then. I suggested that a Narreme Theoretic approach could be tremendously useful not only for the purposes of narrative analysis, but also for the construction of narratives in various creative media, as well as a pedagogical tool for teaching reading comprehension and literacy, and as a method for narrative-based psychotherapies. Can Narreme Theory be applied practically for these purposes?
The rapid growth in population and environmental concerns, demands for efficient energy production, precision agriculture, and effective system monitoring. Soil, air, and water ecosystems are the most critical natural resources that if not properly maintained, will have a direct impact on agriculture and human lives. Efficient energy production and smart agriculture are essential to fulfill the increasing human needs and to protect the surrounding environment by using a more advanced type of sensor technology.
This research project will involve exploration, analysis and consultation for developing of a framework integrating information about social determinants of health and quality of life measures into an Indigenous Digital Health Ecosystem. The framework will include guidance for collecting, analyzing, and using social and health data to inform policy, investment, clinical, and service actions in First Nations communities.
