Our tools have wide-ranging applications: in education, we support personalized learning by tailoring content to a learner’s cognitive and linguistic profile; in healthcare, we enhance physician-patient communication and enable the early detection of cognitive conditions such as Alzheimer’s disease, stress-related impairments, and other neurological challenges; and in professional settings, we aid in matching individuals to roles that align with their communication and cognitive strengths. In cybersecurity, our work enables us to identify the gender and the age range of the author of a post on social media.

Our profiling research was further expanded to explore the behaviors and roles of users within social networks, with a particular focus on how individual user profiles influence their patterns of interaction. In this context, we introduced the concept of topical specialization to distinguish between users who predominantly generate content centered around a single subject area and those who engage across multiple thematic domains. This differentiation provided valuable insight into content diversity, influence, and user engagement strategies. In addition, we proposed a novel perspective on the notion of community in social networks. Rather than defining communities solely based on structural connections or interaction frequency, we redefined them in terms of users’ shared topical interests and thematic alignment. This topical profile-based community model emphasizes the semantic cohesion among members, offering a more content-driven and dynamic understanding of community formation and evolution within digital social ecosystems. This approach opens up new avenues for analyzing how information flows, influence propagates, and specialized knowledge communities emerge and interact within large-scale networks.

We are committed to using cutting-edge methods in natural language processing, image processing, and machine learning to push the boundaries of cognitive technology—while upholding the highest ethical standards. Our lab prioritizes fairness, transparency, and privacy in all aspects of our research, ensuring that our innovations are responsible, inclusive, and designed to benefit the individuals and communities they serve.