Ph.D Candidate | Research Assistant

Mixed Method Researcher: Eye Tracking, Affective Computing, Trust, Readability, and Accessibility

EQUI-Tech Lab

Research Goal


Research Skills


Research Tools


Education


I am conducting research to understand the interaction between individuals with mild dementia and healthy older adults with digital health information. My approach involves using eye-tracking and facial recognition technology to evaluate cognitive load, emotional reactions, and trust. Furthermore, my investigation delves into the aspects of privacy and trust concerning online health information, aiming to enhance the availability of dependable online health resources.

PhD. Computer Science - Expecting 2025 | Clemson University

M.S Computer Science - December 2021 | Clemson University

M.E. Computer Engineering - May 2018 | Gujarat Technological University, India

B. E. Information Technology - May 2016 | Gujarat Technological University, India

Research Assistant | Clemson University | January 2023 Onwards

Instructor | Clemson University | July 2024 - December 2024

Mentor Undergraduate and Graduate students | Clemson University | August 2023 onwards

Teaching Assistant | Clemson University | August 2019 - December 2019

Assistant Professor | Gujarat Technological University, India | August 2018 - May 2019

Junior Android Developer | Project Cafè, India | July 2016 - December 2016

Experience


Usability Testing & User-Centered Design, Privacy and Trust in Digital Platforms, Affective Computing & Emotional Response Analysis, Cognitive Load Assessment, Accessibility and Digital Inclusion Research, Textual Analysis (Readability, Linguistic, and Emotional Characteristics), User Experience (UX) Evaluation, Inferential & Multivariate Analysis, Behavioral Data Analysis, Eye-Tracking & Gaze Behavior Analysis

Statistical & Data Analysis: IBM SPSS, R, Python, RStudio

Eye-Tracking & Behavioral Analysis: Realeye.io, LIWC (Linguistic Inquiry and Word Count)

UX Research & Design: Figma, Miro, Otter.ai

Machine Learning & AI: PyTorch

Hardware & Tools: Microsoft Kinect, Arduino Uno, Raspberry Pi

Survey & Usability Testing: Qualtrics, Google forms, Prolific

Version Control & Collaboration: SVN, Git