Effect of Convective vs. Freeze Drying on the Hemp Bioactive Compounds

Industrial hemp (Cannabis sativa L.) and its fibres being durable are used in fabrics, sail making and papermaking. Its seed is a rich source of polyunsaturated fatty acids (omega-3, 6) and its oil is used for cooking and for medicinal purposes. Cannabis contains cannabinoids, of which, ?9-tetrahydrocannabinol (THC) and cannabidiol (CBD) have been identified as […]

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Deep learning-based drug discovery and molecule generation

The project aims to facilitate the research and development of new drugs by exploring deep learning methods to process molecules and to generate new molecules. The deep learning models that will be experimented include few shot learning, generative adversarial network, and variational autoencoder. We would like to improve these methods specifically for pharmacological datasets, which […]

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Finding graph minors in the D-Wave hardware graph

D-Wave’s quantum computer is good at solving a specific type of problems known as Ising spin problems. However, in order to solve one of these spin problems, you must first solve another hard problem—embedding the spin problem on D-Wave’s quantum processor. From the land of discrete mathematics, this embedding problem falls into a well studied […]

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Improved Lateral Supports for Fresh Masonry Structures at Construction Site

Despite significant development of various construction materials, masonry is still considered as one of the most cost-effective materials. However, they are often vulnerable to wind-induced lateral loads caused during construction stage (within 1 to 2 days of construction) when the masonry is yet to achieve full strength. Temporary bracing systems are often used to support […]

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Improving Efficiency and Robustness of Model-based Reinforcement Learning

Model-based reinforcement learning allows AI systems to learn and use predictive models of their environments to plan ahead, achieving tasks more efficiently. The proposed project aims to (i) develop methods for identifying when an uncertain and/or flawed model can be relied on to make plans, and when it cannot, and (ii) implement a method which […]

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Machine Learning for Breath-Based Cancer Diagnosis

Non-invasive breath analysis has substantial potential for monitoring of a wide range of medical conditions and observation of overall health status. Breath testing is easy and painless; it can be done quickly and inexpensively, and can be repeated as often as needed, making it an attractive approach for screening or clinical diagnosis. In this work, […]

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Wide-baseline Novel Scene Synthesis from a Single Image

Novel view synthesis is the process of generating new images from an unseen perspective, given at least one image of a scene. There may be more than one probable novel view associated with each unseen perspective, an assumption made by existing methods. This simplifying assumption prevents these methods from being applied to more difficult novel […]

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Data fusion strategies for reducing the uncertainty of point cloud data

For decades, contact probes on coordinate measuring machine (CMM) have been widely used for data acquisition in coordinate metrology, mainly because of their high accuracy. However, the acquired data is a low-density set of points, because sampling using a contact probe is a slow process. Nowadays, optical 3D scanning technologies such as structured-light scanners or […]

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Investigating multi-task learning in semantic parsing

Current research in semantic parsing suffers from lack of annotated data, which is hard to acquire. In this project, we aim at tackling the problem of converting natural language utterances to SQL language (Text-to-SQL) on complex databases in a low-resource environment. More specifically, we focus on the research of how multi-task learning (MTL) can help […]

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Geomagnetic indoor positioning based on smart phone sensor

This project aims at solving the difficult problems faced by indoor positioning and related issues, which are part of the future development direction. For different positioning environments and positioning requests, the project will explore the corresponding positioning schemes, conversion mechanism sand switching strategies. The project will use the geomagnetic-based technology that does not require additional […]

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Measuring entanglement in quantum magnetic systems with strong long-range correlations

D-Wave systems purports to have designed a quantum processor based on scalable architecture that physically implements quantum annealing, an algorithm that can be used to solve a wide variety of optimization problems. In order for D-Wave devices to exhibit a performance advantage over classical processors, it is necessary that the devices utilize a resource that […]

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Engineered Framework for Wildfire-Urban Interfaces

The intent of this research is to study fire dynamics and the threats it imposes on people, property, business continuity and environments, namely at wildfire-urban interfaces (WUI). Worcester Polytechnic Institute of Boston, MA, is equipped with modern technologies, not yet available at my home institution, that can be used to build a comprehensive analysis of […]

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