This Project is an continuation of our SIGGRAPH Asia 2017 paper on “Learning to Group Graphical Patterns”. The paper introduced a novel deep learning approach for grouping discrete patterns common in graphical designs. The approach was based on a convolutional neural network architecture that learns a grouping measure defined over a pair of pattern elements. […]

The project involves the modeling of the metabolism of TB. I developed an algorithmic pipeline called MetaMerge, which allowed me to reconcile differences in format, nomenclature, and annotation, between two models of TB metabolism. MONGOOSE, another doctoral project of mine, is a tool for analyzing metabolic network models in exact arithmetic, resulting in consistent, reproducible […]

The objective of this proposal is to study Littlewood cyclotomic polynomials of odd degree. In algebra, the cyclotomic polynomial is one such that has all its roots on the unit circle. Since all the coefficients of Littlewood polynomials are -1 or +1, its associates a finite binary sequence with -1 or +1 entries. Therefore, their […]

This project will expose the intern to key design, implementation, and evaluation research activities in human-computer interaction (HCI). We have recently started exploring the concept of social curation of software help content by developing a novel web-based platform, Social CheatSheet, that overlays relevant community-curated instructions and multi-step tutorials atop any web application and offers an […]

Credit risk—the potential that a borrower will fail to make required payments—is the oldest risk in our economy. It may arise in a number of circumstances, for example, a consumer failing to make the minimum payment due on a credit card or a company defaulting on its debt. Our main goal in this summer project […]

Body composition, i.e., the proportion of fat and muscle tissues in the human body is related to the risk factors associated with a host of medical conditions. The muscle and fat tissues are target locations for the water- and fat-soluble drugs respectively used for cancer treatment. Consequently, the proportions of these tissues are believed to […]

The first step is reviewing what has already been done in the lab and around the globe. Then we will Identify the biomarkers to target and techniques that can be used to do so. Next is to design a device in such a manner that the desired interaction is happening for efficient sensing of the […]

I will be working on the current project going on which involves studying the Robotics navigations in indoor and structured environment. Apart from that, we will be also looking into the SLAM problem in a humanoid robot (NAO). We are studying two approaches: (i) integration of SLAM with augmented reality, and (ii) SLAM via bio-inspired […]

We propose to perform detailed studies that characterize chemically and biologically and the unaltered ancestral plant species of the Cannabis genus. Chemically, these studies will provide the chemotype profiles for each parental species for a spectrum of non-tetrahydrocannabinoid compounds. Biologically, these studies will provide the pharmacological profiles for each parental species in conjunction with the […]

Passages and A/V Performances are two sets of art installations that will be prepared for a series of electronic art and music festivals in both the United States and Canada. Passages is the first in a series of installations surrounding Malcolm Levy (of Hybridity Media)’s Other Frames work, developing it in an interactive context.The second […]

Decreased brain volume in frontal regions is a prominent feature of schizophrenia and has been linked to impairments in psychological and social functioning. These impairments persist over the lifespan, with approximately 64% of individuals experiencing severe social disability 15-years after illness onset. Finding ways to overcome barriers to better functioning is of utmost importance to […]

This project involves developing novel methods for improving the estimation of surface displacement of natural earth surfaces using Synthetic Aperture Radar Interferometry (InSAR). The developed methods improve the precision that can be obtained when analyzing a series of sequentially acquired images over the same area. The methods also improve the robustness of the estimation in […]