Maryam Fazel-Zarandi

Maryam Fazel-Zarandi
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Main area of research
Natural language & AI

Maryam Fazel-Zarandi is a Senior Research Engineer at Nuance Communications. Her research interests are in the areas of Knowledge Representation and Reasoning, Natural Language Understanding, and User Modelling. She received her Ph.D. in Computer Science from University of Toronto in 2013. At Nuance, her current work focuses on developing Natural Language Understanding and Dialog systems for Personalized Virtual Assistants.

Selected articles

Expert recommendation based on social drivers, social network analysis, and semantic data representation

Knowledge networks and recommender systems are especially important for expert finding within organizations and scientific communities. Useful recommendation of experts, however, is not an easy

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Inferring and validating skills and competencies over time

Organizations need to accurately understand the skills and competencies of their human resources to better utilize them and more effectively respond to internal and external

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Identifying unreliable sources of skill and competency information

In recent years human resources have become highly mobile, making it more difficult for organizations to accurately learn their skill and competencies. In such environment,

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An Ontology for Skill and Competency Management

To stay competitive within the market, organizations need to understand the skills and competencies of their human resources in order to best utilize them. This

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