Dipolar depletion : study of a field tunable colloid-polymer solution

In a colloid-polymer mixture, the addition of non-adsorbing polymer can control the magnitude as well as the range of an effective attraction between micron-sized colloidal particles. In such a system, various phases, including network-forming gels, can be observed. With tunable interactions, such systems could also be used for the studies of phase transition kinetics. An […]

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Modélisation “high-rise” du système Noyau Porteur Richardesign

En raison des initiatives gouvernementales de construction industrialisée afin de solutionner la pénurie de logement à Hong Kong, l’Université Polytechnique de Hong Kong collabore avec Roger-Bruno Richard, architecte et professeur titulaire à l’Université de Montréal, en vue d’une application « high rise » du système constructif hybride de type « Noyau Porteur » qu’il a […]

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Facilitating Human Interaction with a Robotic Exercise Coach using Smart Objects

The project builds upon prior work done by Prof. Katherine Kuchenbecker’s former Ph.D. student Naomi Fitter and current Ph.D. student Mayumi Mohan in the field of human-robot interaction. They investigated ways of using an upper-body humanoid robot (a Rethink Robotics Baxter Research Robot) to play physically interactive games with elderly adults in order to motivate […]

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Carbon cycle modeling

The project will involve running terrestrial biosphere models on JPL’s supercomupters. Specifically, my first task will be focused on modeling the carbon cycle. This cycle describes how carbon circulates through the atmosphere, vegetation and ground. With climate change and rising temperatures, this cycle has been changing. This is why we are interested in modeling it […]

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In-situ Electrochemical Scanning Tunneling Microscopy on Novel Metallic Single Crystals

With the increase of CO2 emissions, pollutants and waste production from developed/developing countries, there has been an urgent need for the scientific community to come up with effective and reliable solutions to these environmental concerns. The demand for renewable and clean energy alternatives has never been so urgent. While there have been developments in various […]

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Hydraulic evolution of fractured porous media during hydraulic stimulation

Hydraulic stimulation is a technique that is being used to increase the productivity and efficiency of natural resources under the ground. Hydraulic fracturing is a hydraulic stimulation method, in which the water is being injected into a borehole and that creates additional fractures within the hard rock formations. This may extend the flow network within […]

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Understanding Expertise: A Study of Craft Knowledge in Plato

My research project aims to study the notion of ‘expertise’ (techne) in the philosopher Plato who wrote many influential works during the 5th and 4th century Classical Greece. During his lifetime, Greece was undergoing radical transformations both intellectually and politically. As a response, Plato engaged with many issues concerning democracy, education and morality, the insights […]

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Modeling stable and unstable detonations with boundary layer induced flow divergence

The phenomenon of near-limit detonation propagation, where detonations have been experimentally observed to propagate at average speeds smaller than the ideal Chapman-Jouguet (CJ) detonation speeds, has attracted extensive efforts on determining the influencing mechanisms through application of simple models for predicting such velocity deficits. Despite the large number of attempts to experimentally investigate the dynamics […]

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Marine Technology Research

In this project I will be working with Aalto university’s Marine Technology research group at the Aalto ice tank. The purpose of such an ice tank is to explore the function of arctic marine structures in pack ice conditions. For example, this could include structural testing of oil and gas facilities or model testing of […]

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Deep Mixture and Generative Models: Representation, Approximation, Robustness, and Application

Recent progress on deep architectures has enabled efficient representation and learning of complex high dimensional probability distributions over rich sensory data. In particular, deep mixture models and deep generative models have emerged as the most powerful techniques for this task. The proposed research aims at addressing some of the fundamental questions in this field: What […]

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Publishing Dis/ability and Public Access

This project will investigate the creation of an accessible digital platform that will serve as the basis for all future publications of PUBLIC as well as a model for similar organizations looking to make the transition from print to digital. Importnatly, this project centers dis/ability communities, methods, and methodologies. Not only will this research situate […]

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