The expanding role of computational models in the process of design is producing exponentially growing parameter spaces. As designers, we must create and implement new me[...]

Previously, improvisation has served as a term for describing a quality of the action taking place in classrooms between teachers and students. This project begins to th[...]

To automatically classify biological images, machine learning techniques have been widely used to train the classifiers from labeled images. For a new category of biologi[...]

Operational losses: Lessons from seven of the largest rogue trading events in history. (Under the direction of DR. ROB ROY MCGREGOR)Operational risk is the risk of losses[...]

Deep Learning has been the go-to tool for text summarization in the recent times.Traditional deep learning research focuses on performing abstractive text summarizationwi[...]

Financial institutions need to measure risks within their credit portfolios (homeloans, credit card, auto loans, etc.) for regulatory requirements and for internal riskma[...]

Despite the rising popularity and utilization of intelligent systems, much of thebuilt environment, especially architecture, remains prescriptive or responsive in nature.[...]

Transportation electrification is one of the core policies actively driven by countries around the world. The strategic integration of electric vehicles (EVs) holds the k[...]

Trigger-action Internet of Things (IoT) platforms allow users to leverage functional dependencies between IoT event conditions and actions to set up trigger-action rules [...]

This dissertation presents the systematic design and development of datasets, algorithms, and an AI pipeline specifically curated for real-time trajectory prediction and [...]