Talk, Ann Arbor Machine Learning Group, Ann Arbor, MI
Built a NLP Information Retrieval System through user reviews through the popular Trip Advisor website. Notebook 1, Notebook 2, Dash App.
Talk, Data Science and Machine Learning Collaborative Learning Group, Online
Explored key methods to boost model performance, such as hyperparameter tuning and model ensembling. Additionally, we reviewed ways to speed up and scale training using multi-GPU and TPU setups, mixed precision, and cloud computing resources.
Talk, Data Science and Machine Learning Collaborative Learning Group, Online
This talk summarized different aspects and intricacies of generative adversarial networks and a unsupervised machine project for classifying mall customers by clustering.
Talk, Data Science and Machine Learning Collaborative Learning Group, Online
This talk summarized neural style transfer and variational autoencoders for image generation, image augmentation, and image blending. In addition, we also reviewed a supervised learning project focused on predicting future land and ocean temperatures using multiple regression models with US temperature data.
Talk, Data Science and Machine Learning Collaborative Learning Group, Online
This talk described the encoder-decoder architecture for Transformers and self-attention as a weighted combination of all word embeddings. In addition, several advantages were presented over RNNs and ConvNets.
Talk, Data Science and Machine Learning Collaborative Learning Group, Online
This talk discussed time series forecasting, automatic learning of temporal dependence, and how neural networks are able to automatically learn arbitrary complex mappings from inputs to outputs and support multiple inputs and outputs.
Talk, Data Science and Machine Learning Collaborative Learning Group, Online
A fundamental problem when building a computer vision application is that of interpretability. This talk discussed various ways machine learning models can make results easier to interpret by humans. Slides.
Talk, UIC, Department of Mathematics, Statistics, and Computer Science (SEO), Chicago, Illinois
Defended work on wave scattering in periodic media. Slides.
Talk, Graduate Student Colloquium, UIC, Chicago, Illinois
General overview of wave scattering in periodic media. Slides.
Talk, UIC Math Club, Chicago, Illinois
Summary of the Euler-Maclaurin Summation Formula, Riemann–Siegel Formula, and Odlyzko–Schonhage Algorithm in relation to calculating zeros of the Riemann zeta function. Slides.
Talk, UIC Graduate Analysis and Applied Mathematics Seminar, Chicago, Illinois
An overview of the Shallow-Water Equations in relation to Tsunamis.
Talk, UIC Graduate Analysis and Applied Mathematics Seminar, Chicago, Illinois
Overview of Pseudo-Differential Operators in Euclidean Space.
Talk, UIC Graduate Analysis and Applied Mathematics Seminar, Chicago, Illinois
Properties of Pseudo-Differential Operators in $\mathbb R^n$.
Talk, UIC Graduate Analysis and Applied Mathematics Seminar, Chicago, Illinois
Overview of the High-Order Pertubation of Surfaces (HOPS) schemes and their relation to Spectral Element Methods.
Talk, Cold Regions Research and Engineering Labatory (CRREL), Hanover, New Hampshire
Summary of work done as a summer intern at CRREL. Slides.
Talk, Argonne National Laboratory Summer Argonne Students Symposium (SASSy), Lemont, Illinois
Presented work done on supercomputers as a summer intern at ANL. Slides.
Talk, UIC Graduate Analysis and Applied Mathematics Seminar, Chicago, Illinois
Review of this paper and various properties of the Riemann-Siegel formula.
Talk, CUREA Program Physics 2013, Pasadena, California
Described how to calculate the radiant of a meteor shower through astrometry and parallax (to determine the height of the meteors). CUREA Reflections 2013.