Projects

Ontological Semantic Technology 
Ontological Semantic Technology (OST) is a set of resources that enable computational understand of natural language. The resources consist of language independent ontology (representing general knowledge of the world), a number of language-dependent lexica (one per supported natural language, such as English, Russian, Korean, etc.) and a set of tools that interpret text into text-meaning representation (TMR), results of which are stored in an information base. The ultimate goal of OST is to understand explicit and implicit information, knowledge of which is compatible with the ontology. 

Communication about energy usage in smart homes (part of Sociotechnical systems to enable smart and connected energy-aware residential communities
The overall goal of the project is to discover new knowledge on how individuals, groups, and residential communities make decisions related to their home energy consumption through some feedback mechanism. This feedback mechanism can visual or verbal. The goal of the verbal communication in this project is to give users information about their energy usage informally, in a way that is most acceptable to them. The grain size of information (both in terms of numbers, energy devices, and user behavior) to be delivered to the user as well as the acceptability of verbal cues, based on the density level of text, different voices, effects, and grammatical constructions is part of the experiments performed. The communication of individual cues as well as prolonged dialogs is currently accomplished through Amazon Alexa. 

Chat analysis for law enforcement (in collaboration with High Tech Crime Unit
Description to follow 

Computational Humor 
Description to follow 

Phishing Detection 
Description to follow

Patient/Doctor Interaction and Text in Medical Records 
Description to follow