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Deep Learning Segmentation and Area Assessment of Invasive Melanoma (Avideh Zahkor)-Deep Transformer and Convolution Architectures for Ultra High-Resolution Supervised Semantic Image Segmentation-Deep Autoencoder, Variational Autoencoder, and Diffusion Models for Unsupervised Pretraining and Label-Effiicient Learning-Distributed Learning and Visualizations using PyTorch

NLP and NLU

CS70: Handling Office Hours and Grading to help with maths

CS70: Discrete Mathematics and Probability Theory

Helping students in discussion and labs understand various topics in CS classes.

-Worked closely with other business analysts, development teams, and infrastructure specialists to deliver solutions for applications.

-Engaged in software development utilizing wide range of technological tools and industrial protocols.-Collaborated with senior engineers on projects and offered insight during summer project development

-Read and interpreted blueprints, technical drawings, schematics and computer generated reports, including alignments, specifications, criteria details and estimates.-Used Programs such as the PI system and google slides to assist in project presentations.-Utilized Python to program the interface and function of the OSIsoft summer project

-Evaluated and document student progress and behavior-Administered feedback to students using positive reinforcement techniques

-Warned patrons of unsafe or hazardous conditions and suggested alternative activities during closures-Sampled pool water to check chemical levels prior to swimming instruction-Reiterated water safety practices and lifesaving measures-Tracked students' progress and gave constructive feedback for skills requiring improvement