Research - Shriya Dhaundiyal

Voice Assistants User Profiling Voice July 2022 - Present

Northeastern University, Boston

Investigated the impact of voice assistant interactions on user profiling activities, the associated risks, and if there is disclosure of the same on privacy policy of leading technologies- Amazon Alexa, Google Assistant and Apple Siri.
Designed test environments using Selenium and Python to probe the voice assistants for evidence of customization.
Created control experiments to detect profiling and evidence of targeted advertising beyond third-party perspective.

Northeastern University, Boston

Examined how systemic-structural stereotypes from history have influenced the design of technology in the present.
Investigated how bias permeates through algorithmic designs at different stages of developing predictive models for machine learning and examined existing models for improvements to prevent marginalization through skewed data.

Authored a paper wherein discussed human development as a direct function of human capability understood through different facets of the Human Development Index (HDI) of the World Health Organization.
Published in International Journal of Community Medicine and Public Health in February 2019, Volume 6, Issue 2, e-ISSN: 2394-6040, p-ISSN: 2394-6032.

Assessed the causes of plate removal in patients with maxilla-facial trauma by reviewing the database of 1472 relevant patients out of 19,198 cases over ten years to acquire a p-value of less than 0.05 (statistically significant).
Published in The Scientific World Journal on June 23, 2021, Volume 2021, Article ID 9947350

Assessed the factors affecting the quality of life of patients post-surgery and narrowed down twenty most important factors having significant impact on the quality.
Performed an in-depth analysis on factors like fear, anxiety, environmental factors, etc. and the extent of impact on the quality of life.
Patented the Twenty Point Assessment under the Copyright Office, Government of India

Investigated the role of BRAF gene mutation in recurring odontogenic tumors of the South Indian Population.
Processed multiple pathology (biopsy) slides in the laboratory and analyzed them to produce quantifiable data (obtained p-value of less than 0.05 which is statistically significant).